JOB DESCRIPTION Out of the successful launch of Chase in 2021, we're a new team, with a new mission. We're creating products that solve real world problems and put customers at the center - all in an environment that nurtures skills and helps you realize your potential. Our team is key to our success. We're people-first. We value collaboration, curiosity and commitment. As a Software Engineer II at JPMorgan Chase within the International Consumer Bank, you will play a crucial role in this initiative, dedicated to delivering an outstanding banking experience to our customers. You will work in a collaborative environment as part of a diverse, inclusive, and geographically distributed team. We are seeking individuals with a curious mindset and a keen interest in new technology. Our engineers are naturally solution-oriented and possess an interest in the financial sector and focus on addressing our customer needs. We work in teams focused on specific products and projects, providing opportunities to engage in areas such as fraud & financial crime prevention, identity services, money transfers, card payments, lending, customer onboarding, core banking, insurance products, rewards campaigns, and servicing innovations. Job Responsibilities Execute well defined components of cloud native platform services, AI applications, and supporting tooling with minimal guidance. Contribute to reusable platform components, libraries, and templates that other teams across ICB compose into their own AI use cases. Apply established resilient patterns within your services; elevate risks or gaps to senior engineers. Develop secure code to protect our customers and ourselves from malicious actors. Investigate and remediate issues within your scope; elevate appropriately; contribute to preventing recurrence. Support release processes aiming for zero downtime, following team standards. Contribute to observability for the platform components and applications you work on; raise anomalies for squad resolution. Contribute to ensuring the platform components and applications you work on meet the needs of the developers and teams who use them, within your scope. Maintain and continuously improve the platform components and AI applications you ship. Embed controls, compliance, and security into the components and applications you build, so that teams adopting them meet their obligations by default. Provide well structured, timely updates on Jira stories to keep the squad informed of progress and issues. Required Qualifications, Capabilities, And Skills Formal training or certification on software engineering concepts and applied experience. Recent hands on professional experience as a back end software engineer. Experience coding in recent versions of Java and Python programming languages. Experience designing and implementing effective tests (unit, component, integration, end to end, performance, etc.). Excellent written and verbal communication skills in English. Familiarity with advanced AI and ML concepts, such as model serving, feature retrieval, Retrieval Augmented Generation (RAG), and Model Context Protocol (MCP). Strong interest in building generative AI applications and tooling. Experience with cloud technologies and distributed systems, RESTful APIs, and web technologies. Preferred Qualifications, Capabilities, And Skills Background in STEM with exposure to machine learning systems. Experience with MLOps frameworks and platforms like MLflow, Amazon SageMaker, Databricks, BentoML, or Arize is a plus. Experience with AI frameworks like LangChain, LangGraph, or Pydantic AI is a plus. Hands on experience with cloud computing platforms like AWS, Azure, or GCP. Experience working in a highly regulated environment or industry. ABOUT US J.P. Morgan is a global leader in financial services, providing strategic advice and products to the world's most prominent corporations, governments, wealthy individuals and institutional investors. Our first class business in a first class way approach to serving clients drives everything we do. We strive to build trusted, long term partnerships to help our clients achieve their business objectives. We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation. ABOUT THE TEAM Our professionals in our Corporate Functions cover a diverse range of areas from finance and risk to human resources and marketing. Our corporate teams are an essential part of our company, ensuring that we're setting our businesses, clients, customers and employees up for success.
27/07/2026
Full time
JOB DESCRIPTION Out of the successful launch of Chase in 2021, we're a new team, with a new mission. We're creating products that solve real world problems and put customers at the center - all in an environment that nurtures skills and helps you realize your potential. Our team is key to our success. We're people-first. We value collaboration, curiosity and commitment. As a Software Engineer II at JPMorgan Chase within the International Consumer Bank, you will play a crucial role in this initiative, dedicated to delivering an outstanding banking experience to our customers. You will work in a collaborative environment as part of a diverse, inclusive, and geographically distributed team. We are seeking individuals with a curious mindset and a keen interest in new technology. Our engineers are naturally solution-oriented and possess an interest in the financial sector and focus on addressing our customer needs. We work in teams focused on specific products and projects, providing opportunities to engage in areas such as fraud & financial crime prevention, identity services, money transfers, card payments, lending, customer onboarding, core banking, insurance products, rewards campaigns, and servicing innovations. Job Responsibilities Execute well defined components of cloud native platform services, AI applications, and supporting tooling with minimal guidance. Contribute to reusable platform components, libraries, and templates that other teams across ICB compose into their own AI use cases. Apply established resilient patterns within your services; elevate risks or gaps to senior engineers. Develop secure code to protect our customers and ourselves from malicious actors. Investigate and remediate issues within your scope; elevate appropriately; contribute to preventing recurrence. Support release processes aiming for zero downtime, following team standards. Contribute to observability for the platform components and applications you work on; raise anomalies for squad resolution. Contribute to ensuring the platform components and applications you work on meet the needs of the developers and teams who use them, within your scope. Maintain and continuously improve the platform components and AI applications you ship. Embed controls, compliance, and security into the components and applications you build, so that teams adopting them meet their obligations by default. Provide well structured, timely updates on Jira stories to keep the squad informed of progress and issues. Required Qualifications, Capabilities, And Skills Formal training or certification on software engineering concepts and applied experience. Recent hands on professional experience as a back end software engineer. Experience coding in recent versions of Java and Python programming languages. Experience designing and implementing effective tests (unit, component, integration, end to end, performance, etc.). Excellent written and verbal communication skills in English. Familiarity with advanced AI and ML concepts, such as model serving, feature retrieval, Retrieval Augmented Generation (RAG), and Model Context Protocol (MCP). Strong interest in building generative AI applications and tooling. Experience with cloud technologies and distributed systems, RESTful APIs, and web technologies. Preferred Qualifications, Capabilities, And Skills Background in STEM with exposure to machine learning systems. Experience with MLOps frameworks and platforms like MLflow, Amazon SageMaker, Databricks, BentoML, or Arize is a plus. Experience with AI frameworks like LangChain, LangGraph, or Pydantic AI is a plus. Hands on experience with cloud computing platforms like AWS, Azure, or GCP. Experience working in a highly regulated environment or industry. ABOUT US J.P. Morgan is a global leader in financial services, providing strategic advice and products to the world's most prominent corporations, governments, wealthy individuals and institutional investors. Our first class business in a first class way approach to serving clients drives everything we do. We strive to build trusted, long term partnerships to help our clients achieve their business objectives. We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation. ABOUT THE TEAM Our professionals in our Corporate Functions cover a diverse range of areas from finance and risk to human resources and marketing. Our corporate teams are an essential part of our company, ensuring that we're setting our businesses, clients, customers and employees up for success.
AlliedOffsets is a leading provider of data and technology solutions on the voluntary carbon markets. We have built the industry's first meta-registry of carbon offsetting projects, retirement transactions, corporate buyers, and intermediaries, in order to promote transparency and clarity for those looking to understand the carbon offsetting industry. Our data is used by some of the leading financial, academic, and professional services organizations in the world to analyze the market. Project developers also use our data to help new sustainable projects get off the ground, understand organizations to partner with, and create the right pricing structure for its offsets. Our mission is to make the carbon offsetting market more transparent, enabling more quality carbon offsetting projects from being launched, with more of the financial benefits flowing to the underlying communities that the projects operate in. Our products include subscription-based access to the database, bespoke client data gathering and visualization, and research reports for leading government and international development organizations. As our team grows, we are looking for a software engineer to come help us build on our success to date! The Role The role sits at the intersection of software developer and data scientist and gives you considerable responsibility and ownership of your path. At the core, it involves: Data engineering and analysis - extending the data pipeline which feeds our carbon market dashboard and bespoke analytics platform Developing the back-end code and infrastructure for the API - providing access to our offsets data to external clients Contributing to full stack projects, developing products both internally and for client - from web apps to visualize bespoke data requests, to more sophisticated apps that support the flow of alternative finance to emerging markets Responsibilities You will be working on the following: Extending and maintaining the codebase for the data pipeline which feeds into our carbon offsets database Data gathering, processing and analysis; researching and implementing ways to unlock data from new sources (public websites, APIs, .pdf reports, etc.) Building out the functionality of our public API: New features will include tighter integration with our data pipeline, and additional microservices to handle new client requests. Overseeing the implementation of security and DevOps best practices for the deployment of our products. Working closely with our researchers, clients and other developers to understand this fast-moving field. Setting the technical direction of the company moving forwards, in collaboration with senior management. Developing awesome products and tools for our clients: Examples include building bespoke data dashboards or custom clients to integrate with our API. We always have new and interesting projects that promote international development and sustainability! Technologies The current team works primarily with Python (for data engineering, analysis and back-end development) and JavaScript (for front end development). We are looking for a candidate with strong experience in Python, and knowledge of JavaScript is a definite plus. In terms of web frameworks, past projects have typically used some combination of Flask, Django and Vue. But ultimately we want to use the right tool for the job, and in this role you will have significant opportunities to shape our tech stack, moving forwards. Depending on the candidate's interests, there will be room to work with our other developers on the application of machine learning tools to extract and model data (e.g. PyTorch, TensorFlow). Minimum Qualifications We are looking for a candidate with at least 3 years of professional experience as a back end developer. Some flexibility on this is possible if you've worked on similar projects, either professionally or on sustained independent projects (if so, please share details in your application - links to github etc. are welcome where possible!) Significant experience with data engineering, or working on data-intensive back-end applications which involve cleaning and processing complex data. Experience maintaining, building and deploying rest APIs with frameworks like Flask, Django or FastAPI. A solid understanding of relational databases, and experience with or willingness to learn PostgreSQL. Solid experience of security best practices for developing and maintaining APIs, and potentially handling sensitive data. Solid DevOps experience with at least one modern cloud hosting platform that's appropriate for our products. (We typically use Heroku, but experience with AWS, GCP or others is very welcome.) Experience using Python libraries for data analysis, such as pandas, scikit, numpy, nltk, matplotlib, jupyter. Ability to communicate effectively on both technical and non-technical levels, and to cultivate a supportive environment for more junior developers. If you don't quite tick all of these boxes, but feel as though you would be a good fit for this role, feel free to get in touch and we'll be happy to discuss further. Preferred Qualifications Experience with Vue or other similar JavaScript framework Experience with simple NLP methods using Gensim and scikit-learn Knowledge of testing methodologies and an uncompromising ethic around automated testing Experience with microservices architecture Perks Coming on board in the early stages of a startup with tremendous growth potential Joining a small, agile team with flat hierarchy and freedom to shape the role Having considerable autonomy to work on side projects Budget toward new computer Flexible working or office in central London, when desired Competitive salary Workplace pension
27/07/2026
Full time
AlliedOffsets is a leading provider of data and technology solutions on the voluntary carbon markets. We have built the industry's first meta-registry of carbon offsetting projects, retirement transactions, corporate buyers, and intermediaries, in order to promote transparency and clarity for those looking to understand the carbon offsetting industry. Our data is used by some of the leading financial, academic, and professional services organizations in the world to analyze the market. Project developers also use our data to help new sustainable projects get off the ground, understand organizations to partner with, and create the right pricing structure for its offsets. Our mission is to make the carbon offsetting market more transparent, enabling more quality carbon offsetting projects from being launched, with more of the financial benefits flowing to the underlying communities that the projects operate in. Our products include subscription-based access to the database, bespoke client data gathering and visualization, and research reports for leading government and international development organizations. As our team grows, we are looking for a software engineer to come help us build on our success to date! The Role The role sits at the intersection of software developer and data scientist and gives you considerable responsibility and ownership of your path. At the core, it involves: Data engineering and analysis - extending the data pipeline which feeds our carbon market dashboard and bespoke analytics platform Developing the back-end code and infrastructure for the API - providing access to our offsets data to external clients Contributing to full stack projects, developing products both internally and for client - from web apps to visualize bespoke data requests, to more sophisticated apps that support the flow of alternative finance to emerging markets Responsibilities You will be working on the following: Extending and maintaining the codebase for the data pipeline which feeds into our carbon offsets database Data gathering, processing and analysis; researching and implementing ways to unlock data from new sources (public websites, APIs, .pdf reports, etc.) Building out the functionality of our public API: New features will include tighter integration with our data pipeline, and additional microservices to handle new client requests. Overseeing the implementation of security and DevOps best practices for the deployment of our products. Working closely with our researchers, clients and other developers to understand this fast-moving field. Setting the technical direction of the company moving forwards, in collaboration with senior management. Developing awesome products and tools for our clients: Examples include building bespoke data dashboards or custom clients to integrate with our API. We always have new and interesting projects that promote international development and sustainability! Technologies The current team works primarily with Python (for data engineering, analysis and back-end development) and JavaScript (for front end development). We are looking for a candidate with strong experience in Python, and knowledge of JavaScript is a definite plus. In terms of web frameworks, past projects have typically used some combination of Flask, Django and Vue. But ultimately we want to use the right tool for the job, and in this role you will have significant opportunities to shape our tech stack, moving forwards. Depending on the candidate's interests, there will be room to work with our other developers on the application of machine learning tools to extract and model data (e.g. PyTorch, TensorFlow). Minimum Qualifications We are looking for a candidate with at least 3 years of professional experience as a back end developer. Some flexibility on this is possible if you've worked on similar projects, either professionally or on sustained independent projects (if so, please share details in your application - links to github etc. are welcome where possible!) Significant experience with data engineering, or working on data-intensive back-end applications which involve cleaning and processing complex data. Experience maintaining, building and deploying rest APIs with frameworks like Flask, Django or FastAPI. A solid understanding of relational databases, and experience with or willingness to learn PostgreSQL. Solid experience of security best practices for developing and maintaining APIs, and potentially handling sensitive data. Solid DevOps experience with at least one modern cloud hosting platform that's appropriate for our products. (We typically use Heroku, but experience with AWS, GCP or others is very welcome.) Experience using Python libraries for data analysis, such as pandas, scikit, numpy, nltk, matplotlib, jupyter. Ability to communicate effectively on both technical and non-technical levels, and to cultivate a supportive environment for more junior developers. If you don't quite tick all of these boxes, but feel as though you would be a good fit for this role, feel free to get in touch and we'll be happy to discuss further. Preferred Qualifications Experience with Vue or other similar JavaScript framework Experience with simple NLP methods using Gensim and scikit-learn Knowledge of testing methodologies and an uncompromising ethic around automated testing Experience with microservices architecture Perks Coming on board in the early stages of a startup with tremendous growth potential Joining a small, agile team with flat hierarchy and freedom to shape the role Having considerable autonomy to work on side projects Budget toward new computer Flexible working or office in central London, when desired Competitive salary Workplace pension
Head of Software Delivery - Private Banking The Head of Software Delivery for Private Banking is responsible for leading the development and delivery of software solutions that support the bank's private banking operations. This includes managing core banking systems, Treasury systems, Finance systems, and ensuring the efficient operation of Equation and SQL Server environments. The role involves strategic leadership, project management, and close collaboration with stakeholders to align technology initiatives with business objectives. Key Responsibilities Strategic Leadership Develop and implement the software delivery strategy for the private banking division, ensuring alignment with the bank's business goals. Lead the adoption and integration of best practices for software development, deployment, and maintenance within the context of private banking operations. Stay abreast of emerging technologies and methodologies to enhance the bank's software delivery capabilities, particularly in core banking and financial systems. Project Management Oversee the, execution, and delivery of software projects related to core banking, Treasury systems, Finance systems, and Equation. Ensure projects are delivered on time, within scope, and within budget, managing risks, dependencies, and resource allocation effectively. Team Management Lead, mentor, and manage a team of software developers, project managers, and QA engineers specializing in private banking systems. Foster a culture of collaboration, innovation, and continuous improvement within the team. Conduct performance reviews, identify training needs, and support career development for team members. Stakeholder Collaboration Work closely with business units, product owners, and other stakeholders in private banking to understand their requirements and priorities. Ensure effective communication and alignment between development teams and stakeholders. Provide regular updates on project status, risks, and outcomes to senior management. Quality Assurance Implement robust testing frameworks and quality assurance processes to ensure the delivery of high-quality software solutions for private banking. Monitor and improve software performance, reliability, and security, particularly in core banking and financial systems. Process Improvement Continuously analyze and improve software delivery processes to increase efficiency and effectiveness, with a focus on core banking and finance systems. Implement and refine agile methodologies, DevOps practices, and CI/CD pipelines tailored to private banking needs. Vendor Management Manage relationships with external vendors and service providers, ensuring they meet the bank's standards and requirements. Negotiate contracts and oversee vendor deliverables related to private banking systems. Qualifications Education Bachelor's or Master's degree in Computer Science, Software Engineering, Finance, or a related field. Experience Minimum of 10 years of experience in software development, with at least 5 years in a leadership role within banking or financial services. Proven track record of managing large-scale software delivery projects in core banking, Treasury systems, and finance systems. Experience with Equation and SQL Server environments. Technical Skills Strong knowledge of software development methodologies (e.g., Agile, Scrum, DevOps). Proficiency in programming languages (e.g., Java, C#, Python) and software development tools. Experience with core banking systems (e.g., Equation), Treasury systems, and finance systems. Proficiency in SQL Server and database management. Familiarity with cloud technologies (e.g., AWS, Azure, Google Cloud) is a plus. Leadership Skills Excellent leadership and team management skills. Strong problem-solving and decision-making abilities. Exceptional communication and interpersonal skills. Certifications Relevant certifications (e.g., PMP, Scrum Master, ITIL) are a plus. Why Join Us Impact: Play a pivotal role in driving the bank's digital transformation and innovation in private banking. Growth: Opportunity for professional growth and development in a dynamic and supportive environment. Culture: Join a collaborative team committed to excellence and continuous improvement. The position will be based in Central London at least 3 days a week in the office. The salary for this position is circa £75K - £100K. Interested candidates are invited to submit their resume and cover letter detailing their relevant experience and qualifications. Do send your CV to us in Word format along with your salary and notice period.
26/07/2026
Full time
Head of Software Delivery - Private Banking The Head of Software Delivery for Private Banking is responsible for leading the development and delivery of software solutions that support the bank's private banking operations. This includes managing core banking systems, Treasury systems, Finance systems, and ensuring the efficient operation of Equation and SQL Server environments. The role involves strategic leadership, project management, and close collaboration with stakeholders to align technology initiatives with business objectives. Key Responsibilities Strategic Leadership Develop and implement the software delivery strategy for the private banking division, ensuring alignment with the bank's business goals. Lead the adoption and integration of best practices for software development, deployment, and maintenance within the context of private banking operations. Stay abreast of emerging technologies and methodologies to enhance the bank's software delivery capabilities, particularly in core banking and financial systems. Project Management Oversee the, execution, and delivery of software projects related to core banking, Treasury systems, Finance systems, and Equation. Ensure projects are delivered on time, within scope, and within budget, managing risks, dependencies, and resource allocation effectively. Team Management Lead, mentor, and manage a team of software developers, project managers, and QA engineers specializing in private banking systems. Foster a culture of collaboration, innovation, and continuous improvement within the team. Conduct performance reviews, identify training needs, and support career development for team members. Stakeholder Collaboration Work closely with business units, product owners, and other stakeholders in private banking to understand their requirements and priorities. Ensure effective communication and alignment between development teams and stakeholders. Provide regular updates on project status, risks, and outcomes to senior management. Quality Assurance Implement robust testing frameworks and quality assurance processes to ensure the delivery of high-quality software solutions for private banking. Monitor and improve software performance, reliability, and security, particularly in core banking and financial systems. Process Improvement Continuously analyze and improve software delivery processes to increase efficiency and effectiveness, with a focus on core banking and finance systems. Implement and refine agile methodologies, DevOps practices, and CI/CD pipelines tailored to private banking needs. Vendor Management Manage relationships with external vendors and service providers, ensuring they meet the bank's standards and requirements. Negotiate contracts and oversee vendor deliverables related to private banking systems. Qualifications Education Bachelor's or Master's degree in Computer Science, Software Engineering, Finance, or a related field. Experience Minimum of 10 years of experience in software development, with at least 5 years in a leadership role within banking or financial services. Proven track record of managing large-scale software delivery projects in core banking, Treasury systems, and finance systems. Experience with Equation and SQL Server environments. Technical Skills Strong knowledge of software development methodologies (e.g., Agile, Scrum, DevOps). Proficiency in programming languages (e.g., Java, C#, Python) and software development tools. Experience with core banking systems (e.g., Equation), Treasury systems, and finance systems. Proficiency in SQL Server and database management. Familiarity with cloud technologies (e.g., AWS, Azure, Google Cloud) is a plus. Leadership Skills Excellent leadership and team management skills. Strong problem-solving and decision-making abilities. Exceptional communication and interpersonal skills. Certifications Relevant certifications (e.g., PMP, Scrum Master, ITIL) are a plus. Why Join Us Impact: Play a pivotal role in driving the bank's digital transformation and innovation in private banking. Growth: Opportunity for professional growth and development in a dynamic and supportive environment. Culture: Join a collaborative team committed to excellence and continuous improvement. The position will be based in Central London at least 3 days a week in the office. The salary for this position is circa £75K - £100K. Interested candidates are invited to submit their resume and cover letter detailing their relevant experience and qualifications. Do send your CV to us in Word format along with your salary and notice period.
Scale plays a vital role in the development of AI applications. Our customer base is growing exponentially, and you will be on the front lines, ensuring that the world's most innovative companies become passionate, lifelong Scale customers. Solutions Engineers partner closely with AEs, Product, and MLEs to lead prospective customers through pre-sales, delivering customized demos and pilots to secure the "technical win". Solutions Engineers scope customer technical requirements and develop an actionable SOW. They will work closely with the delivery team to help with initial implementation. Solutions Engineers are relentlessly curious about customer needs and pain points. They employ their expert Scale product knowledge and GenAI knowledge to design solutions that best address these needs. Solutions Engineers are strong relationship builders, great project managers, and provide technical expertise. You will: Partner with Scale AEs on the customer journey, delivering tailored demos and prototypes according to the customer's requirements. Develop technical domain expertise in Generative AI / large language model applications for Enterprise use cases, including customers in financial services, insurance, SaaS, and similar enterprises. Be accountable for securing the "technical win" by unblocking technical challenges. Interact with customers daily to understand their needs and design solutions to better serve them. Design and develop "Scopes of Work" by breaking down customer challenges into a project plan. Work closely with forward deployed Software and Machine learning Engineers to develop agents in the initial post sales stage. Work with AEs and PMs to identify customer specific feature requests. Drive strategic initiatives to improve the efficiency and effectiveness of the Solution Engineering team. Ideally, you'd have: Strong engineering background with prior experience working with clients in a pre or post sales capacity to realize business goals. Prior experience developing with Python, Java and/or other web development languages. Experience working in enterprise SaaS, cloud tech, finance, fintech or similar industries in a technical capacity with end customer engagement. A track record as a self starter, motivated to independently unblock technical issues in the field with the customer, away from the mothership. Presentation skills with a high degree of technical credibility when speaking with executives and front line engineers. High level of comfort communicating effectively across internal and external organizations. Intellectual curiosity, empathy, and ability to operate with high velocity. Nice to haves: GenAI Experience PLEASE NOTE: Our policy requires a 90 day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants. About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high quality data and full stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at . Please see the United States Department of Labor's Know Your Rights poster for additional information. PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants' needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our privacy policy for additional information.
26/07/2026
Full time
Scale plays a vital role in the development of AI applications. Our customer base is growing exponentially, and you will be on the front lines, ensuring that the world's most innovative companies become passionate, lifelong Scale customers. Solutions Engineers partner closely with AEs, Product, and MLEs to lead prospective customers through pre-sales, delivering customized demos and pilots to secure the "technical win". Solutions Engineers scope customer technical requirements and develop an actionable SOW. They will work closely with the delivery team to help with initial implementation. Solutions Engineers are relentlessly curious about customer needs and pain points. They employ their expert Scale product knowledge and GenAI knowledge to design solutions that best address these needs. Solutions Engineers are strong relationship builders, great project managers, and provide technical expertise. You will: Partner with Scale AEs on the customer journey, delivering tailored demos and prototypes according to the customer's requirements. Develop technical domain expertise in Generative AI / large language model applications for Enterprise use cases, including customers in financial services, insurance, SaaS, and similar enterprises. Be accountable for securing the "technical win" by unblocking technical challenges. Interact with customers daily to understand their needs and design solutions to better serve them. Design and develop "Scopes of Work" by breaking down customer challenges into a project plan. Work closely with forward deployed Software and Machine learning Engineers to develop agents in the initial post sales stage. Work with AEs and PMs to identify customer specific feature requests. Drive strategic initiatives to improve the efficiency and effectiveness of the Solution Engineering team. Ideally, you'd have: Strong engineering background with prior experience working with clients in a pre or post sales capacity to realize business goals. Prior experience developing with Python, Java and/or other web development languages. Experience working in enterprise SaaS, cloud tech, finance, fintech or similar industries in a technical capacity with end customer engagement. A track record as a self starter, motivated to independently unblock technical issues in the field with the customer, away from the mothership. Presentation skills with a high degree of technical credibility when speaking with executives and front line engineers. High level of comfort communicating effectively across internal and external organizations. Intellectual curiosity, empathy, and ability to operate with high velocity. Nice to haves: GenAI Experience PLEASE NOTE: Our policy requires a 90 day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants. About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high quality data and full stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at . Please see the United States Department of Labor's Know Your Rights poster for additional information. PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants' needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our privacy policy for additional information.
Summary The AI Innovation and Solutions (AIS) team operates with the speed and spirit of a startup, focused on rapidly prototyping and building production grade, cloud native AI applications that integrate cutting edge AI capabilities to directly address the critical needs of our businesses. Our primary goal is to demonstrate the transformative potential of AI within the firm through accelerated application delivery, rapidly deploying impactful solutions, and then seamlessly transferring the application code, cloud integration patterns, robust data models, and operational knowledge to respective business and engineering teams. This hands on engineering role is pivotal in shaping the future of AI adoption at Goldman Sachs by building reliable, highly scalable, cloud optimized AI powered products and fostering a culture of innovation and rapid, continuous delivery. As an AI Application Engineer, you will be instrumental in designing, building, and deploying end to end, cloud native AI applications that leverage advanced AI/Machine Learning solutions to drive tangible business value. You will thrive in a fast paced environment, leveraging your expertise to translate complex business challenges and customer needs into actionable cloud based application architectures, optimized data models, and technical specifications that incorporate AI capabilities, and then implement and deliver these systems with a focus on speed, reliability, and operational excellence. Key Responsibilities Rapid Prototyping & Application Development: Lead the end to end development of applications that integrate and leverage AI/ML models, from architectural design, data schema design, data pipeline construction, and rapid prototyping to initial deployment and operationalization, utilizing cloud native services (e.g., serverless, containerization, managed AI/ML platforms) and CI/CD pipelines for accelerated delivery. Implement robust MLOps practices to streamline model deployment, monitoring, and lifecycle management in cloud environments, including data versioning, feature store integration, and data pipeline management. Business Partnership & Solution Architecture: Collaborate closely with business and engineering teams to deeply understand their challenges and customer needs, identify high impact opportunities to integrate AI capabilities into applications, and translate business requirements into robust cloud optimized application architectures, scalable data models, and technical specifications for AI powered solutions, considering scalability, cost efficiency, security, and data governance principles. Solution Implementation & Delivery: Architect, implement, and deliver scalable, robust, and maintainable cloud native AI applications that consume and operationalize AI solutions based on defined technical specifications and architectures, ensuring seamless integration with existing systems and workflows within the Goldman Sachs ecosystem. Apply strong software engineering principles, data modeling best practices (e.g., relational, NoSQL, graph), DevOps/MLOps best practices, and cloud security standards. Drive automation of deployment, testing, and monitoring processes to ensure rapid and reliable delivery of AI applications. Knowledge Transfer & Enablement: Facilitate effective knowledge transfer through comprehensive documentation, training sessions, mentorship, and pair programming, empowering receiving teams to take ownership and continue the development and maintenance of AI powered applications. Technology & Innovation Leadership: Stay abreast of the latest advancements in application development, system integration, AI/ML technologies, data management platforms, and operational best practices, continuously evaluating and recommending new tools, techniques, and architectural patterns to drive innovation in AI application delivery. Qualifications Bachelor's or Master's degree in Computer Science, Software Engineering, or a related quantitative field. 9+ years of hands on software engineering experience, with a proven track record of building and deploying robust applications, and significant experience integrating AI/ML models. Demonstrated experience building and deploying end to end applications that leverage LLMs and related frameworks. This includes experience with prompt engineering, API integration, and working with agentic frameworks. Strong proficiency in programming languages such as Python, Java, or Go, along with experience integrating with relevant AI/ML frameworks (e.g., TensorFlow, PyTorch). Proven ability to translate complex business requirements into well defined, cloud optimized application architectures, scalable data models (e.g., relational, NoSQL, graph), and technical specifications for AI powered systems, and to subsequently implement and accelerate delivery of robust, production ready systems based on these designs. Extensive experience with major cloud platforms (e.g., AWS, Azure, GCP), including cloud native services (serverless, containerization, managed AI/ML platforms), and a strong command of DevOps/MLOps best practices for automated deployment, monitoring, lifecycle management, data pipeline orchestration, and cloud security standards. Excellent communication capabilities, with the ability to articulate complex technical concepts to both technical and non technical stakeholders across all levels of the organization. Strong collaboration and interpersonal skills, with a passion for mentoring and enabling others. Proven ability to lead or significantly contribute to cross functional projects. Productionize LLMs: Build evaluation framework for open source and foundational LLMs; implement retrieval pipelines, prompt synthesis, response validation, and self correction loops tailored to production operations. Integrate with runtime ecosystems: Connect agents to observability, incident management, and deployment systems to enable automated diagnostics, runbook execution, remediation, and post incident summarization with full traceability. Collaborate directly with users: Partner with production engineers, and application teams to translate production pain points into agentic AI roadmaps; define objective functions linked to reliability, risk reduction, and cost; and deliver auditable, business aligned outcomes. Scale and performance: Optimize cost and latency via prompt engineering, context management, caching, model routing, and distillation; leverage batching, streaming, and parallel tool calls to meet stringent SLOs under real world load. Build agentic AI systems: Design and implement tool calling agents that combine retrieval, structured reasoning, and secure action execution (function calling, change orchestration, policy enforcement) following MCP protocol. Integrate with runtime ecosystems: Connect agents to observability, incident management, and deployment systems to enable automated diagnostics, runbook execution, remediation, and post incident summarization with full traceability. ABOUT GOLDMAN SACHS At Goldman Sachs, we commit our people, capital and ideas to help our clients, shareholders and the communities we serve to grow. Founded in 1869, we are a leading global investment banking, securities and investment management firm. Headquartered in New York, we maintain offices around the world. We believe who you are makes you better at what you do. We're committed to fostering and advancing diversity and inclusion in our own workplace and beyond by ensuring every individual within our firm has a number of opportunities to grow professionally and personally, from our training and development opportunities and firm wide networks to benefits, wellness and personal finance offerings and mindfulness programs. Learn more about our culture, benefits, and people at The Goldman Sachs Group, Inc., 2023. All rights reserved. Goldman Sachs is an equal opportunity employer and does not discriminate on the basis of race, color, religion, sex, national origin, age, veterans status, disability, or any other characteristic protected by applicable law.
25/07/2026
Full time
Summary The AI Innovation and Solutions (AIS) team operates with the speed and spirit of a startup, focused on rapidly prototyping and building production grade, cloud native AI applications that integrate cutting edge AI capabilities to directly address the critical needs of our businesses. Our primary goal is to demonstrate the transformative potential of AI within the firm through accelerated application delivery, rapidly deploying impactful solutions, and then seamlessly transferring the application code, cloud integration patterns, robust data models, and operational knowledge to respective business and engineering teams. This hands on engineering role is pivotal in shaping the future of AI adoption at Goldman Sachs by building reliable, highly scalable, cloud optimized AI powered products and fostering a culture of innovation and rapid, continuous delivery. As an AI Application Engineer, you will be instrumental in designing, building, and deploying end to end, cloud native AI applications that leverage advanced AI/Machine Learning solutions to drive tangible business value. You will thrive in a fast paced environment, leveraging your expertise to translate complex business challenges and customer needs into actionable cloud based application architectures, optimized data models, and technical specifications that incorporate AI capabilities, and then implement and deliver these systems with a focus on speed, reliability, and operational excellence. Key Responsibilities Rapid Prototyping & Application Development: Lead the end to end development of applications that integrate and leverage AI/ML models, from architectural design, data schema design, data pipeline construction, and rapid prototyping to initial deployment and operationalization, utilizing cloud native services (e.g., serverless, containerization, managed AI/ML platforms) and CI/CD pipelines for accelerated delivery. Implement robust MLOps practices to streamline model deployment, monitoring, and lifecycle management in cloud environments, including data versioning, feature store integration, and data pipeline management. Business Partnership & Solution Architecture: Collaborate closely with business and engineering teams to deeply understand their challenges and customer needs, identify high impact opportunities to integrate AI capabilities into applications, and translate business requirements into robust cloud optimized application architectures, scalable data models, and technical specifications for AI powered solutions, considering scalability, cost efficiency, security, and data governance principles. Solution Implementation & Delivery: Architect, implement, and deliver scalable, robust, and maintainable cloud native AI applications that consume and operationalize AI solutions based on defined technical specifications and architectures, ensuring seamless integration with existing systems and workflows within the Goldman Sachs ecosystem. Apply strong software engineering principles, data modeling best practices (e.g., relational, NoSQL, graph), DevOps/MLOps best practices, and cloud security standards. Drive automation of deployment, testing, and monitoring processes to ensure rapid and reliable delivery of AI applications. Knowledge Transfer & Enablement: Facilitate effective knowledge transfer through comprehensive documentation, training sessions, mentorship, and pair programming, empowering receiving teams to take ownership and continue the development and maintenance of AI powered applications. Technology & Innovation Leadership: Stay abreast of the latest advancements in application development, system integration, AI/ML technologies, data management platforms, and operational best practices, continuously evaluating and recommending new tools, techniques, and architectural patterns to drive innovation in AI application delivery. Qualifications Bachelor's or Master's degree in Computer Science, Software Engineering, or a related quantitative field. 9+ years of hands on software engineering experience, with a proven track record of building and deploying robust applications, and significant experience integrating AI/ML models. Demonstrated experience building and deploying end to end applications that leverage LLMs and related frameworks. This includes experience with prompt engineering, API integration, and working with agentic frameworks. Strong proficiency in programming languages such as Python, Java, or Go, along with experience integrating with relevant AI/ML frameworks (e.g., TensorFlow, PyTorch). Proven ability to translate complex business requirements into well defined, cloud optimized application architectures, scalable data models (e.g., relational, NoSQL, graph), and technical specifications for AI powered systems, and to subsequently implement and accelerate delivery of robust, production ready systems based on these designs. Extensive experience with major cloud platforms (e.g., AWS, Azure, GCP), including cloud native services (serverless, containerization, managed AI/ML platforms), and a strong command of DevOps/MLOps best practices for automated deployment, monitoring, lifecycle management, data pipeline orchestration, and cloud security standards. Excellent communication capabilities, with the ability to articulate complex technical concepts to both technical and non technical stakeholders across all levels of the organization. Strong collaboration and interpersonal skills, with a passion for mentoring and enabling others. Proven ability to lead or significantly contribute to cross functional projects. Productionize LLMs: Build evaluation framework for open source and foundational LLMs; implement retrieval pipelines, prompt synthesis, response validation, and self correction loops tailored to production operations. Integrate with runtime ecosystems: Connect agents to observability, incident management, and deployment systems to enable automated diagnostics, runbook execution, remediation, and post incident summarization with full traceability. Collaborate directly with users: Partner with production engineers, and application teams to translate production pain points into agentic AI roadmaps; define objective functions linked to reliability, risk reduction, and cost; and deliver auditable, business aligned outcomes. Scale and performance: Optimize cost and latency via prompt engineering, context management, caching, model routing, and distillation; leverage batching, streaming, and parallel tool calls to meet stringent SLOs under real world load. Build agentic AI systems: Design and implement tool calling agents that combine retrieval, structured reasoning, and secure action execution (function calling, change orchestration, policy enforcement) following MCP protocol. Integrate with runtime ecosystems: Connect agents to observability, incident management, and deployment systems to enable automated diagnostics, runbook execution, remediation, and post incident summarization with full traceability. ABOUT GOLDMAN SACHS At Goldman Sachs, we commit our people, capital and ideas to help our clients, shareholders and the communities we serve to grow. Founded in 1869, we are a leading global investment banking, securities and investment management firm. Headquartered in New York, we maintain offices around the world. We believe who you are makes you better at what you do. We're committed to fostering and advancing diversity and inclusion in our own workplace and beyond by ensuring every individual within our firm has a number of opportunities to grow professionally and personally, from our training and development opportunities and firm wide networks to benefits, wellness and personal finance offerings and mindfulness programs. Learn more about our culture, benefits, and people at The Goldman Sachs Group, Inc., 2023. All rights reserved. Goldman Sachs is an equal opportunity employer and does not discriminate on the basis of race, color, religion, sex, national origin, age, veterans status, disability, or any other characteristic protected by applicable law.
Overview Engineer the future of global finance. At Citi, our Tech team doesn't just support finance - we are helping to redefine it. Every day, $5 trillion crosses through our network. We do business in 180+ countries operating at a scale few can match. From deploying advanced AI to helping shape global markets, we build systems that matter. Look to join a team where your work helps influence economies, your ideas can drive innovation and outcomes, and your growth is backed by mentorship, continuous learning and flexibility with potential hybrid work opportunities. Help solve real world challenges that touch millions and get the opportunity to build the future of finance with Citi Tech. Team Markets Operations Technology is going through an exciting phase of transformation in margin and collateral domain. We are re engineering our technology estate to achieve world leading performance and resiliency, enabling new capabilities in advanced execution, global market connectivity, and modernised post trade, clearing and margin processes. Our ambition is to deliver a seamlessly integrated, highly automated platform that drives outstanding client outcomes and accelerates growth across our global franchise. Role Overview / Responsibilities As Lead Software Engineer in our global technology team, you will be working with a group of passionate engineers who build technical solutions to complex business problems. You will be instrumental in shaping the future of our product and working towards a target state of a fully automated platform with minimal manual interventions. You will have an opportunity to participate in the whole spectrum of building a software solution, closely working with product teams and users. We expect you to contribute to our vision of building a strong engineering culture within our global teams. Qualities & Responsibilities This role is for someone who is a strong technologist, enjoys solving engineering challenges, has experience in building robust and high quality solutions, has excellent communication skills and can manage multiple priorities simultaneously. Required Skills & Experience Hands on professional software development experience Proficiency in programming in Java, Python, JavaScript or React Experience of building RESTful APIs using popular frameworks like Spring Experience of working with event driven systems, microservices, micro frontend UIs Experience of following TDD and clean code principles Proficiency with data structures, algorithms and SQL Able to independently work in fast paced and rapidly changing environment Bachelor's degree in computer science or engineering field involving software programming or systems engineering Beneficial / Nice-to-have Skills Experience of using cloud services such as AWS and distributed systems such as Kafka, Kubernetes, S3, DynamoDB, MongoDB or any other NoSQL database Experience of working in investment bank or financial services industry Benefits 27 days annual leave (plus bank holidays) A discretionary annual performance related bonus Private Medical Care & Life Insurance Employee Assistance Program Pension Plan Paid Parental Leave Special discounts for employees, family, and friends Access to an array of learning and development resources Equal Opportunity Employer Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law.
22/07/2026
Full time
Overview Engineer the future of global finance. At Citi, our Tech team doesn't just support finance - we are helping to redefine it. Every day, $5 trillion crosses through our network. We do business in 180+ countries operating at a scale few can match. From deploying advanced AI to helping shape global markets, we build systems that matter. Look to join a team where your work helps influence economies, your ideas can drive innovation and outcomes, and your growth is backed by mentorship, continuous learning and flexibility with potential hybrid work opportunities. Help solve real world challenges that touch millions and get the opportunity to build the future of finance with Citi Tech. Team Markets Operations Technology is going through an exciting phase of transformation in margin and collateral domain. We are re engineering our technology estate to achieve world leading performance and resiliency, enabling new capabilities in advanced execution, global market connectivity, and modernised post trade, clearing and margin processes. Our ambition is to deliver a seamlessly integrated, highly automated platform that drives outstanding client outcomes and accelerates growth across our global franchise. Role Overview / Responsibilities As Lead Software Engineer in our global technology team, you will be working with a group of passionate engineers who build technical solutions to complex business problems. You will be instrumental in shaping the future of our product and working towards a target state of a fully automated platform with minimal manual interventions. You will have an opportunity to participate in the whole spectrum of building a software solution, closely working with product teams and users. We expect you to contribute to our vision of building a strong engineering culture within our global teams. Qualities & Responsibilities This role is for someone who is a strong technologist, enjoys solving engineering challenges, has experience in building robust and high quality solutions, has excellent communication skills and can manage multiple priorities simultaneously. Required Skills & Experience Hands on professional software development experience Proficiency in programming in Java, Python, JavaScript or React Experience of building RESTful APIs using popular frameworks like Spring Experience of working with event driven systems, microservices, micro frontend UIs Experience of following TDD and clean code principles Proficiency with data structures, algorithms and SQL Able to independently work in fast paced and rapidly changing environment Bachelor's degree in computer science or engineering field involving software programming or systems engineering Beneficial / Nice-to-have Skills Experience of using cloud services such as AWS and distributed systems such as Kafka, Kubernetes, S3, DynamoDB, MongoDB or any other NoSQL database Experience of working in investment bank or financial services industry Benefits 27 days annual leave (plus bank holidays) A discretionary annual performance related bonus Private Medical Care & Life Insurance Employee Assistance Program Pension Plan Paid Parental Leave Special discounts for employees, family, and friends Access to an array of learning and development resources Equal Opportunity Employer Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law.
Engineer the future of global finance. At Citi, our Tech team doesn't just support finance - we are helping to redefine it. Every day, $5 trillion crosses through our network. We do business in 180+ countries operating at a scale few can match. From deploying advanced AI to helping shape global markets, we build systems that matter. Look to join a team where your work helps influence economies, your ideas can drive innovation and outcomes, and your growth is backed by mentorship, continuous learning and flexibility with potential hybrid work opportunities. Help solve real-world challenges that touch millions and get the opportunity to build the future of finance with Citi Tech. What We do / The Team Markets Operations Technology is going through an exciting phase of transformation in margin and collateral domain. We are re engineering our technology estate to achieve world leading performance and resiliency, enabling new capabilities in advanced execution, global market connectivity, and modernised post trade, clearing and margin processes. Our ambition is to deliver a seamlessly integrated, highly automated platform that drives outstanding client outcomes and accelerates growth across our global franchise. Role Overview / What will you do As Lead Software Engineer in our global technology team, you will be working with a group of passionate engineers who build technical solutions to complex business problems. You will be instrumental in shaping the future of our product and working towards a target state of a fully automated platform with minimal manual interventions. You will have an opportunity to participate in the whole spectrum of building a software solution, closely working with product teams and users. We expect you to contribute to our vision of building a strong engineering culture within our global teams. This role is for someone who is a strong technologist, enjoys solving engineering challenges, has experience in building robust and high quality solutions, has excellent communication skills and can manage multiple priorities simultaneously. Key Skills and Experience required Hands on professional software development experience Proficiency in programming in Java, Python, JavaScript or React Experience of building RESTful APIs using popular frameworks like Spring Experience of working with event driven systems, microservices, micro frontend UIs Experience of following TDD and clean code principles Proficiency with data structures, algorithms and SQL Able to independently work in fast paced and rapidly changing environment Bachelor's degree in computer science or engineering field involving software programming or systems engineering Any Beneficial / Nice to have skills and experience Experience of using cloud services such as AWS and distributed systems such as Kafka, Kubernetes, S3, DynamoDB, MongoDB or any other NoSQL database Experience of working in investment bank or financial services industry What we'll provide you By joining Citi, you will not only be part of a business casual workplace with a hybrid working model (up to 2 days working at home per week), but also receive a competitive base salary (which is annually reviewed), and enjoy a whole host of additional benefits such as: 27 days annual leave (plus bank holidays) Discretionary annual performance related bonus Private Medical Care & Life Insurance Employee Assistance Program Pension Plan Paid Parental Leave Special discounts for employees, family, and friends Access to an array of learning and development resources Equal Opportunity and Accessibility Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law. If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review Accessibility at Citi. View Citi's EEO Policy Statement and the Know Your Rights poster.
18/07/2026
Full time
Engineer the future of global finance. At Citi, our Tech team doesn't just support finance - we are helping to redefine it. Every day, $5 trillion crosses through our network. We do business in 180+ countries operating at a scale few can match. From deploying advanced AI to helping shape global markets, we build systems that matter. Look to join a team where your work helps influence economies, your ideas can drive innovation and outcomes, and your growth is backed by mentorship, continuous learning and flexibility with potential hybrid work opportunities. Help solve real-world challenges that touch millions and get the opportunity to build the future of finance with Citi Tech. What We do / The Team Markets Operations Technology is going through an exciting phase of transformation in margin and collateral domain. We are re engineering our technology estate to achieve world leading performance and resiliency, enabling new capabilities in advanced execution, global market connectivity, and modernised post trade, clearing and margin processes. Our ambition is to deliver a seamlessly integrated, highly automated platform that drives outstanding client outcomes and accelerates growth across our global franchise. Role Overview / What will you do As Lead Software Engineer in our global technology team, you will be working with a group of passionate engineers who build technical solutions to complex business problems. You will be instrumental in shaping the future of our product and working towards a target state of a fully automated platform with minimal manual interventions. You will have an opportunity to participate in the whole spectrum of building a software solution, closely working with product teams and users. We expect you to contribute to our vision of building a strong engineering culture within our global teams. This role is for someone who is a strong technologist, enjoys solving engineering challenges, has experience in building robust and high quality solutions, has excellent communication skills and can manage multiple priorities simultaneously. Key Skills and Experience required Hands on professional software development experience Proficiency in programming in Java, Python, JavaScript or React Experience of building RESTful APIs using popular frameworks like Spring Experience of working with event driven systems, microservices, micro frontend UIs Experience of following TDD and clean code principles Proficiency with data structures, algorithms and SQL Able to independently work in fast paced and rapidly changing environment Bachelor's degree in computer science or engineering field involving software programming or systems engineering Any Beneficial / Nice to have skills and experience Experience of using cloud services such as AWS and distributed systems such as Kafka, Kubernetes, S3, DynamoDB, MongoDB or any other NoSQL database Experience of working in investment bank or financial services industry What we'll provide you By joining Citi, you will not only be part of a business casual workplace with a hybrid working model (up to 2 days working at home per week), but also receive a competitive base salary (which is annually reviewed), and enjoy a whole host of additional benefits such as: 27 days annual leave (plus bank holidays) Discretionary annual performance related bonus Private Medical Care & Life Insurance Employee Assistance Program Pension Plan Paid Parental Leave Special discounts for employees, family, and friends Access to an array of learning and development resources Equal Opportunity and Accessibility Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law. If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review Accessibility at Citi. View Citi's EEO Policy Statement and the Know Your Rights poster.
Associate Software Engineer (C#/.NET)Applylocations: Londontime type: Full timeposted on: Posted Yesterdayjob requisition id: R5294The TP ICAP Group is a world leading provider of market infrastructure.Our purpose is to provide clients with access to global financial and commodities markets, improving price discovery, liquidity, and distribution of data, through responsible and innovative solutions.Through our people and technology, we connect clients to superior liquidity and data solutions.The Group is home to a stable of premium brands. Collectively, TP ICAP is the largest interdealer broker in the world by revenue, the number one Energy & Commodities broker in the world, the world's leading provider of OTC data, and an award winning all-to-all trading platform.Founded in London in 1866, the Group operates from more than 60 offices in 27 countries. We are 5,200 people strong. We work as one to achieve our vision of being the world's most trusted, innovative, liquidity and data solutions specialist. Role Overview This is a graduate-level opportunity within Brokerage Technology to help build and maintain the back-end services and APIs that power Brokerage Pricing. Working alongside senior engineers, you will contribute .NET C# code on a cloud-based distributed architecture on AWS, learn to automate deployments through Infrastructure as Code, and make day-to-day use of AI-assisted development tools. You will collaborate with Business Analysts, QA engineers and Project Managers to turn business requirements into reliable software, and grow your skills across the stack as part of a modernising tech landscape. Role Responsibilities Contribute to the design, development and maintenance of back-end services and APIs in .NET C# on a cloud-based distributed architecture, under the guidance of senior engineers. Write clean, well-tested code, with a focus on unit testing and consistent code quality. Help implement and maintain Infrastructure as Code using AWS CDK (Python preferred) to deploy and manage cloud resources. Make effective, responsible use of AI coding assistants to accelerate development, review and documentation tasks. Collaborate with Business Analysts, QA engineers and Project Managers to turn business requirements into working software. Participate in agile ceremonies and adopt an agile mindset. Investigate and help resolve issues promptly, escalating where appropriate to minimise disruption to business operations. Support the modernisation and simplification of the tech landscape. Keep documentation of code, processes and system configurations clear and up to date. Actively seek feedback and invest in learning across .NET, AWS and applied AI to grow into a well-rounded engineer. Experience / Competences Essential A degree in Computer Science, Software Engineering, Mathematics or a closely related STEM discipline is required; a Master's degree is strongly preferred. Solid foundations in object-oriented programming, data structures and algorithms, demonstrated through academic work, internships, placements or personal projects. Working knowledge of a modern back-end language such as .NET C#, Java or similar, and a willingness to focus on .NET C#. Understanding of unit testing principles and the value of automated testing. Familiarity with cloud concepts, ideally AWS, and an interest in Infrastructure as Code (for example AWS CDK with Python). Comfortable using Git for version control. Clear written and verbal communication and an ability to collaborate effectively in a team. Curious, detail-oriented and able to stay focused when tasks get complex.Desired Exposure to AI or machine learning through academic projects, coursework or dissertations, for example working with LLMs, Generative AI or classical ML techniques. Hands-on use of AI coding assistants (for example GitHub Copilot, Amazon Q Developer or similar). Awareness of AWS AI services such as Bedrock. Exposure to microservices architectures and API design. Experience with containerisation tools such as Docker. Familiarity with relational and/or NoSQL databases, and with ORMs such as Entity Framework. Interest in financial markets or prior exposure to the finance sector through internships or projects. Band & level: Professional, 4 Not The Perfect Fit? Concerned that you may not meet the criteria precisely? At TP ICAP, we wholeheartedly believe in fostering inclusivity and cultivating a work environment where everyone can flourish, regardless of your personal or professional background. If you are enthusiastic about this role but find that your experience doesn't align perfectly with every aspect of the job description, we strongly encourage you to apply. You may be the ideal candidate for this position or another opportunity within our organisation. Our dedicated Talent Acquisition team is here to assist you in recognising how your unique skills and abilities can be a valuable contribution. Don't hesitate to take the leap and explore the possibilities. Your potential is what truly matters to us. Company Statement We know that the best innovation happens when diverse people with different perspectives and skills work together in an inclusive atmosphere. That's why we're building a culture where everyone plays a part in making people feel welcome, ready and willing to contribute. TP ICAP Accord - our Employee Network - is a central to this. As well as representing specific groups, TP ICAP Accord helps increase awareness, collaboration, shares best practice, and holds our firm to account for driving continuous cultural improvement. Location UK - 135 Bishopsgate - London
18/07/2026
Full time
Associate Software Engineer (C#/.NET)Applylocations: Londontime type: Full timeposted on: Posted Yesterdayjob requisition id: R5294The TP ICAP Group is a world leading provider of market infrastructure.Our purpose is to provide clients with access to global financial and commodities markets, improving price discovery, liquidity, and distribution of data, through responsible and innovative solutions.Through our people and technology, we connect clients to superior liquidity and data solutions.The Group is home to a stable of premium brands. Collectively, TP ICAP is the largest interdealer broker in the world by revenue, the number one Energy & Commodities broker in the world, the world's leading provider of OTC data, and an award winning all-to-all trading platform.Founded in London in 1866, the Group operates from more than 60 offices in 27 countries. We are 5,200 people strong. We work as one to achieve our vision of being the world's most trusted, innovative, liquidity and data solutions specialist. Role Overview This is a graduate-level opportunity within Brokerage Technology to help build and maintain the back-end services and APIs that power Brokerage Pricing. Working alongside senior engineers, you will contribute .NET C# code on a cloud-based distributed architecture on AWS, learn to automate deployments through Infrastructure as Code, and make day-to-day use of AI-assisted development tools. You will collaborate with Business Analysts, QA engineers and Project Managers to turn business requirements into reliable software, and grow your skills across the stack as part of a modernising tech landscape. Role Responsibilities Contribute to the design, development and maintenance of back-end services and APIs in .NET C# on a cloud-based distributed architecture, under the guidance of senior engineers. Write clean, well-tested code, with a focus on unit testing and consistent code quality. Help implement and maintain Infrastructure as Code using AWS CDK (Python preferred) to deploy and manage cloud resources. Make effective, responsible use of AI coding assistants to accelerate development, review and documentation tasks. Collaborate with Business Analysts, QA engineers and Project Managers to turn business requirements into working software. Participate in agile ceremonies and adopt an agile mindset. Investigate and help resolve issues promptly, escalating where appropriate to minimise disruption to business operations. Support the modernisation and simplification of the tech landscape. Keep documentation of code, processes and system configurations clear and up to date. Actively seek feedback and invest in learning across .NET, AWS and applied AI to grow into a well-rounded engineer. Experience / Competences Essential A degree in Computer Science, Software Engineering, Mathematics or a closely related STEM discipline is required; a Master's degree is strongly preferred. Solid foundations in object-oriented programming, data structures and algorithms, demonstrated through academic work, internships, placements or personal projects. Working knowledge of a modern back-end language such as .NET C#, Java or similar, and a willingness to focus on .NET C#. Understanding of unit testing principles and the value of automated testing. Familiarity with cloud concepts, ideally AWS, and an interest in Infrastructure as Code (for example AWS CDK with Python). Comfortable using Git for version control. Clear written and verbal communication and an ability to collaborate effectively in a team. Curious, detail-oriented and able to stay focused when tasks get complex.Desired Exposure to AI or machine learning through academic projects, coursework or dissertations, for example working with LLMs, Generative AI or classical ML techniques. Hands-on use of AI coding assistants (for example GitHub Copilot, Amazon Q Developer or similar). Awareness of AWS AI services such as Bedrock. Exposure to microservices architectures and API design. Experience with containerisation tools such as Docker. Familiarity with relational and/or NoSQL databases, and with ORMs such as Entity Framework. Interest in financial markets or prior exposure to the finance sector through internships or projects. Band & level: Professional, 4 Not The Perfect Fit? Concerned that you may not meet the criteria precisely? At TP ICAP, we wholeheartedly believe in fostering inclusivity and cultivating a work environment where everyone can flourish, regardless of your personal or professional background. If you are enthusiastic about this role but find that your experience doesn't align perfectly with every aspect of the job description, we strongly encourage you to apply. You may be the ideal candidate for this position or another opportunity within our organisation. Our dedicated Talent Acquisition team is here to assist you in recognising how your unique skills and abilities can be a valuable contribution. Don't hesitate to take the leap and explore the possibilities. Your potential is what truly matters to us. Company Statement We know that the best innovation happens when diverse people with different perspectives and skills work together in an inclusive atmosphere. That's why we're building a culture where everyone plays a part in making people feel welcome, ready and willing to contribute. TP ICAP Accord - our Employee Network - is a central to this. As well as representing specific groups, TP ICAP Accord helps increase awareness, collaboration, shares best practice, and holds our firm to account for driving continuous cultural improvement. Location UK - 135 Bishopsgate - London
Please note this is for London, UK. You only need to apply to one location if there are multiple listed for the job. At Ripple, we're building a world where value moves like information does today. It's big, it's bold, and we're already doing it. Through our crypto solutions for financial institutions, businesses, governments and developers, we are improving the global financial system and creating greater economic fairness and opportunity for more people, in more places around the world. And we get to do the best work of our career and grow our skills surrounded by colleagues who have our backs. Developer Operations (DevOps) at Ripple manages communication, collaboration, and integration between Development and Operations teams. They ensure infrastructures, tools, and processes are streamlined and effective for automated product delivery. The Staff Software Engineer, DevOps will contribute to the discovery, development, and implementation of solutions to improve infrastructure and release pipelines. These solutions will include developer infrastructure, production infrastructure layout and maintenance, capacity and load testing, CI/CD infrastructure, and release process automation. You will push the boundaries with new tools and technologies and use a data-driven approach for achieving desired results. Candidates should enjoy working openly and collaboratively with a team with varied strengths and possess an ability to encourage and drive engineering standard processes. WHAT YOU'LL DO: Develop, deploy, and maintain Ripple's multi-region, multi-provider service platforms Supply build and development of tools for automation, monitoring, and instrumentation to reduce operational friction and increase engineering efficiency Lead discovery of next-generation solutions and work with wider engineering teams on implementation, adoption, and continuous improvements Build and automate new and existing platform and application lifecycle services, using data to converge on declared states with minimal human interaction Collaborate with product engineering to ensure code is production-ready Participate in the adoption of DevOps-first principles within the organisation WHAT YOU'LL BRING: 6+ years of hands-on experience in DevOps or related roles Strong experience in either Python, Go, or Java Experience managing extensive, multi-region service platforms Proficiency in Kubernetes and background in managing cloud infrastructure, especially AWS Experience with container schedulers and runtimes such as Docker, Rkt, or OCI running on Kubernetes, Rancher, or Mesos Experience with Infrastructure-as-Code (e.g., Terraform, CloudFormation, etc.) Security awareness, with an emphasis on crafting for security standard methodologies Experience with Agile development of distributed services, with a focus on robust software build, scalability, and security A positive demeanour and a passion for sharing knowledge WHO WE ARE: Do Your Best Work The opportunity to build in a fast-paced start-up environment with experienced industry leaders A learning environment where you can dive deep into the latest technologies and make an impact. A professional development budget to support other modes of learning. Thrive in an environment where no matter what race, ethnicity, gender, origin, or culture they identify with, every employee is a respected, valued, and empowered part of the team. In-office collaboration for moments that matter is important to our culture, and we give managers and teams the flexibility to decide which 10+ days a month they come in. Bi-weekly all-company meeting - business updates and ask me anything style discussion with our Leadership Team We come together for moments that matter which include team offsites, team bonding activities, happy hours and more! Take Control of Your Finances Competitive salary, bonuses, and equity Competitive benefits that cover physical and mental healthcare, retirement, family forming, and family support Employee giving match Take Care of Yourself R&R days so you can rest and recharge Generous wellness reimbursement and weekly onsite & virtual programming Generous vacation policy - work with your manager to take time off when you need it Industry-leading parental leave policies. Family planning benefits. Catered lunches, fully-stocked kitchens with premium snacks/beverages, and plenty of fun events Benefits listed above are for full-time employees. Ripple is an Equal Opportunity Employer. We're committed to building a diverse and inclusive team. We do not discriminate against qualified employees or applicants because of race, color, religion, gender identity, sex, sexual identity, pregnancy, national origin, ancestry, citizenship, age, marital status, physical disability, mental disability, medical condition, military status, or any other characteristic protected by local law or ordinance.
17/07/2026
Full time
Please note this is for London, UK. You only need to apply to one location if there are multiple listed for the job. At Ripple, we're building a world where value moves like information does today. It's big, it's bold, and we're already doing it. Through our crypto solutions for financial institutions, businesses, governments and developers, we are improving the global financial system and creating greater economic fairness and opportunity for more people, in more places around the world. And we get to do the best work of our career and grow our skills surrounded by colleagues who have our backs. Developer Operations (DevOps) at Ripple manages communication, collaboration, and integration between Development and Operations teams. They ensure infrastructures, tools, and processes are streamlined and effective for automated product delivery. The Staff Software Engineer, DevOps will contribute to the discovery, development, and implementation of solutions to improve infrastructure and release pipelines. These solutions will include developer infrastructure, production infrastructure layout and maintenance, capacity and load testing, CI/CD infrastructure, and release process automation. You will push the boundaries with new tools and technologies and use a data-driven approach for achieving desired results. Candidates should enjoy working openly and collaboratively with a team with varied strengths and possess an ability to encourage and drive engineering standard processes. WHAT YOU'LL DO: Develop, deploy, and maintain Ripple's multi-region, multi-provider service platforms Supply build and development of tools for automation, monitoring, and instrumentation to reduce operational friction and increase engineering efficiency Lead discovery of next-generation solutions and work with wider engineering teams on implementation, adoption, and continuous improvements Build and automate new and existing platform and application lifecycle services, using data to converge on declared states with minimal human interaction Collaborate with product engineering to ensure code is production-ready Participate in the adoption of DevOps-first principles within the organisation WHAT YOU'LL BRING: 6+ years of hands-on experience in DevOps or related roles Strong experience in either Python, Go, or Java Experience managing extensive, multi-region service platforms Proficiency in Kubernetes and background in managing cloud infrastructure, especially AWS Experience with container schedulers and runtimes such as Docker, Rkt, or OCI running on Kubernetes, Rancher, or Mesos Experience with Infrastructure-as-Code (e.g., Terraform, CloudFormation, etc.) Security awareness, with an emphasis on crafting for security standard methodologies Experience with Agile development of distributed services, with a focus on robust software build, scalability, and security A positive demeanour and a passion for sharing knowledge WHO WE ARE: Do Your Best Work The opportunity to build in a fast-paced start-up environment with experienced industry leaders A learning environment where you can dive deep into the latest technologies and make an impact. A professional development budget to support other modes of learning. Thrive in an environment where no matter what race, ethnicity, gender, origin, or culture they identify with, every employee is a respected, valued, and empowered part of the team. In-office collaboration for moments that matter is important to our culture, and we give managers and teams the flexibility to decide which 10+ days a month they come in. Bi-weekly all-company meeting - business updates and ask me anything style discussion with our Leadership Team We come together for moments that matter which include team offsites, team bonding activities, happy hours and more! Take Control of Your Finances Competitive salary, bonuses, and equity Competitive benefits that cover physical and mental healthcare, retirement, family forming, and family support Employee giving match Take Care of Yourself R&R days so you can rest and recharge Generous wellness reimbursement and weekly onsite & virtual programming Generous vacation policy - work with your manager to take time off when you need it Industry-leading parental leave policies. Family planning benefits. Catered lunches, fully-stocked kitchens with premium snacks/beverages, and plenty of fun events Benefits listed above are for full-time employees. Ripple is an Equal Opportunity Employer. We're committed to building a diverse and inclusive team. We do not discriminate against qualified employees or applicants because of race, color, religion, gender identity, sex, sexual identity, pregnancy, national origin, ancestry, citizenship, age, marital status, physical disability, mental disability, medical condition, military status, or any other characteristic protected by local law or ordinance.
At the company, we're building a world where value moves like information does today. It's big, it's bold, and we're already doing it. Through our crypto solutions for financial institutions, businesses, governments and developers, we are improving the global financial system and creating greater economic fairness and opportunity for more people, in more places around the world. And we get to do the best work of our career and grow our skills surrounded by colleagues who have our backs. If you're ready to see your impact and unlock incredible career growth opportunities, join us, and build real world value. THE WORK Developer Operations (DevOps) at the company manages communication, collaboration, and integration between Development and Operations teams. They ensure infrastructures, tools, and processes are streamlined and effective for automated product delivery. The Staff Software Engineer, DevOps will contribute to the discovery, development, and implementation of solutions to improve infrastructure and release pipelines. These solutions will include developer infrastructure, production infrastructure layout and maintenance, capacity and load testing, CI/CD infrastructure, and release process automation. You will push the boundaries with new tools and technologies and use a data-driven approach for achieving desired results. Candidates should enjoy working openly and collaboratively with a team with varied strengths and possess an ability to encourage and drive engineering standard processes. WHAT YOU'LL DO Develop, deploy, and maintain the company's multi-region, multi-provider service platforms Supply build and development of tools for automation, monitoring, and instrumentation to reduce operational friction and increase engineering efficiency Lead discovery of next-generation solutions and work with wider engineering teams on implementation, adoption, and continuous improvements Build and automate new and existing platform and application lifecycle services, using data to converge on declared states with minimal human interaction Collaborate with product engineering to ensure code is production-ready Participate in the adoption of DevOps-first principles within the organisation WHAT YOU'LL BRING 6+ years of hands-on experience in DevOps or related roles Strong experience in either Python, Go, or Java Experience managing extensive, multi-region service platforms Proficiency in Kubernetes and background in managing cloud infrastructure, especially AWS Experience with container schedulers and runtimes such as Docker, Rkt, or OCI running on Kubernetes, Rancher, or Mesos Experience building deployment pipelines using common CI/CD tools Experience with Infrastructure-as-Code (e.g., Terraform, CloudFormation, etc.) Security awareness, with an emphasis on crafting for security standard methodologies Experience with Agile development of distributed services, with a focus on robust software build, scalability, and security A positive demeanour and a passion for sharing knowledge WHO WE ARE Do Your Best Work The opportunity to build in a fast-paced start-up environment with experienced industry leaders A learning environment where you can dive deep into the latest technologies and make an impact. A professional development budget to support other modes of learning. Thrive in an environment where no matter what race, ethnicity, gender, origin, or culture they identify with, every employee is a respected, valued, and empowered part of the team. In-office collaboration for moments that matter is important to our culture, and we give managers and teams the flexibility to decide which 10+ days a month they come in. Bi-weekly all-company meeting - business updates and ask me anything style discussion with our Leadership Team We come together for moments that matter which include team offsites, team bonding activities, happy hours and more! Take Control of Your Finances Competitive salary, bonuses, and equity Competitive benefits that cover physical and mental healthcare, retirement, family forming, and family support Employee giving match Mobile phone stipend Take Care of Yourself R&R days so you can rest and recharge Generous wellness reimbursement and weekly onsite & virtual programming Generous vacation policy - work with your manager to take time off when you need it Industry-leading parental leave policies. Family planning benefits. Catered lunches, fully-stocked kitchens with premium snacks/beverages, and plenty of fun events Benefits listed above are for full-time employees. the company is an Equal Opportunity Employer. We're committed to building a diverse and inclusive team. We do not discriminate against qualified employees or applicants because of race, color, religion, gender identity, sex, sexual identity, pregnancy, national origin, ancestry, citizenship, age, marital status, physical disability, mental disability, medical condition, military status, or any other characteristic protected by local law or ordinance. Please find our UK/EU Applicant Privacy Notice and our California Applicant Privacy Notice for reference.
16/07/2026
Full time
At the company, we're building a world where value moves like information does today. It's big, it's bold, and we're already doing it. Through our crypto solutions for financial institutions, businesses, governments and developers, we are improving the global financial system and creating greater economic fairness and opportunity for more people, in more places around the world. And we get to do the best work of our career and grow our skills surrounded by colleagues who have our backs. If you're ready to see your impact and unlock incredible career growth opportunities, join us, and build real world value. THE WORK Developer Operations (DevOps) at the company manages communication, collaboration, and integration between Development and Operations teams. They ensure infrastructures, tools, and processes are streamlined and effective for automated product delivery. The Staff Software Engineer, DevOps will contribute to the discovery, development, and implementation of solutions to improve infrastructure and release pipelines. These solutions will include developer infrastructure, production infrastructure layout and maintenance, capacity and load testing, CI/CD infrastructure, and release process automation. You will push the boundaries with new tools and technologies and use a data-driven approach for achieving desired results. Candidates should enjoy working openly and collaboratively with a team with varied strengths and possess an ability to encourage and drive engineering standard processes. WHAT YOU'LL DO Develop, deploy, and maintain the company's multi-region, multi-provider service platforms Supply build and development of tools for automation, monitoring, and instrumentation to reduce operational friction and increase engineering efficiency Lead discovery of next-generation solutions and work with wider engineering teams on implementation, adoption, and continuous improvements Build and automate new and existing platform and application lifecycle services, using data to converge on declared states with minimal human interaction Collaborate with product engineering to ensure code is production-ready Participate in the adoption of DevOps-first principles within the organisation WHAT YOU'LL BRING 6+ years of hands-on experience in DevOps or related roles Strong experience in either Python, Go, or Java Experience managing extensive, multi-region service platforms Proficiency in Kubernetes and background in managing cloud infrastructure, especially AWS Experience with container schedulers and runtimes such as Docker, Rkt, or OCI running on Kubernetes, Rancher, or Mesos Experience building deployment pipelines using common CI/CD tools Experience with Infrastructure-as-Code (e.g., Terraform, CloudFormation, etc.) Security awareness, with an emphasis on crafting for security standard methodologies Experience with Agile development of distributed services, with a focus on robust software build, scalability, and security A positive demeanour and a passion for sharing knowledge WHO WE ARE Do Your Best Work The opportunity to build in a fast-paced start-up environment with experienced industry leaders A learning environment where you can dive deep into the latest technologies and make an impact. A professional development budget to support other modes of learning. Thrive in an environment where no matter what race, ethnicity, gender, origin, or culture they identify with, every employee is a respected, valued, and empowered part of the team. In-office collaboration for moments that matter is important to our culture, and we give managers and teams the flexibility to decide which 10+ days a month they come in. Bi-weekly all-company meeting - business updates and ask me anything style discussion with our Leadership Team We come together for moments that matter which include team offsites, team bonding activities, happy hours and more! Take Control of Your Finances Competitive salary, bonuses, and equity Competitive benefits that cover physical and mental healthcare, retirement, family forming, and family support Employee giving match Mobile phone stipend Take Care of Yourself R&R days so you can rest and recharge Generous wellness reimbursement and weekly onsite & virtual programming Generous vacation policy - work with your manager to take time off when you need it Industry-leading parental leave policies. Family planning benefits. Catered lunches, fully-stocked kitchens with premium snacks/beverages, and plenty of fun events Benefits listed above are for full-time employees. the company is an Equal Opportunity Employer. We're committed to building a diverse and inclusive team. We do not discriminate against qualified employees or applicants because of race, color, religion, gender identity, sex, sexual identity, pregnancy, national origin, ancestry, citizenship, age, marital status, physical disability, mental disability, medical condition, military status, or any other characteristic protected by local law or ordinance. Please find our UK/EU Applicant Privacy Notice and our California Applicant Privacy Notice for reference.
Be an integral part of a team that's constantly pushing the envelope to enhance, build, and deliver top notch technology products. As a Software Engineer III at JPMorgan Chase within the Global Banking Platform (GBP), you are an integral part of a team that works to enhance, build, and deliver trusted market leading technology products in a secure, stable, and scalable way. We are building the next generation core banking platform that will operate at a global scale and will support hundreds of millions of accounts. We use cloud native technologies, and the work involves the development of micro services, integrations, dashboards, production support tools and CI/CD pipelines. Initially, successful candidates for the role will be seconded to a FinTech software partner. This is an exciting opportunity to experience the day to day of a fintech while being fully backed by JPMC. After the conclusion of the secondment, all secondees will return to JPMC and apply the knowledge, technologies and practices acquired and develop the critical services to support GBP's worldwide journey to the cloud. Job Responsibilities Design, implement and develop scalable, performant microservices using software engineering best practices. Writes secure and high quality code. Writes automated unit tests, integration tests, etc. Produces architecture and design artifacts for complex applications while being accountable for ensuring design constraints are met by software code development. Proactively identifies hidden problems and patterns in code and data and uses these insights to drive improvements to coding hygiene and system architecture. Manage and troubleshoot deployments from testing environments all the way to production. Interface with other engineering teams to ensure that features are added in a structured and coherent way. Translate generic product requirements into trackable tickets. Contributes to software engineering communities of practice and events that explore new and emerging technologies. Adds to team culture of diversity, equity, inclusion, and respect. Required qualifications, capabilities and skills Formal training or certification on software engineering concepts and applied experience. Hands on practical experience in system design, application development, testing, and operational stability. Proficient in at least one major programming language: Go, Python and/or Java. Experience with Kubernetes and Terraform. Experience in developing automated tests as an integral part of the development cycle. Overall knowledge of the Software Development Life Cycle. Experience in developing, debugging, and maintaining code in a large corporate environment with one or more modern programming languages and database querying languages. Solid understanding of agile methodologies such as CI/CD, Application Resiliency, and Security. Experience with any cloud provider. Preferred qualifications, capabilities and skills Knowledge of banking / finance. Certification in AWS, Kubernetes (CKE) and Terraform. Familiar with databases (SQL or NoSQL). Experience with client/server software architectures & networking, or microservice architectures. Experience with observability tools like Grafana, Prometheus, Open Telemetry and others. Experience with streaming architectures and tools (e.g. Kafka). We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.
14/07/2026
Full time
Be an integral part of a team that's constantly pushing the envelope to enhance, build, and deliver top notch technology products. As a Software Engineer III at JPMorgan Chase within the Global Banking Platform (GBP), you are an integral part of a team that works to enhance, build, and deliver trusted market leading technology products in a secure, stable, and scalable way. We are building the next generation core banking platform that will operate at a global scale and will support hundreds of millions of accounts. We use cloud native technologies, and the work involves the development of micro services, integrations, dashboards, production support tools and CI/CD pipelines. Initially, successful candidates for the role will be seconded to a FinTech software partner. This is an exciting opportunity to experience the day to day of a fintech while being fully backed by JPMC. After the conclusion of the secondment, all secondees will return to JPMC and apply the knowledge, technologies and practices acquired and develop the critical services to support GBP's worldwide journey to the cloud. Job Responsibilities Design, implement and develop scalable, performant microservices using software engineering best practices. Writes secure and high quality code. Writes automated unit tests, integration tests, etc. Produces architecture and design artifacts for complex applications while being accountable for ensuring design constraints are met by software code development. Proactively identifies hidden problems and patterns in code and data and uses these insights to drive improvements to coding hygiene and system architecture. Manage and troubleshoot deployments from testing environments all the way to production. Interface with other engineering teams to ensure that features are added in a structured and coherent way. Translate generic product requirements into trackable tickets. Contributes to software engineering communities of practice and events that explore new and emerging technologies. Adds to team culture of diversity, equity, inclusion, and respect. Required qualifications, capabilities and skills Formal training or certification on software engineering concepts and applied experience. Hands on practical experience in system design, application development, testing, and operational stability. Proficient in at least one major programming language: Go, Python and/or Java. Experience with Kubernetes and Terraform. Experience in developing automated tests as an integral part of the development cycle. Overall knowledge of the Software Development Life Cycle. Experience in developing, debugging, and maintaining code in a large corporate environment with one or more modern programming languages and database querying languages. Solid understanding of agile methodologies such as CI/CD, Application Resiliency, and Security. Experience with any cloud provider. Preferred qualifications, capabilities and skills Knowledge of banking / finance. Certification in AWS, Kubernetes (CKE) and Terraform. Familiar with databases (SQL or NoSQL). Experience with client/server software architectures & networking, or microservice architectures. Experience with observability tools like Grafana, Prometheus, Open Telemetry and others. Experience with streaming architectures and tools (e.g. Kafka). We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.
Join Citi's XVA Technology team in London as a Lead Software Engineer at Vice President level, and take on a role at the intersection of advanced software engineering and AI driven innovation - at a firm where your code, your decisions, and your ideas operate at global scale. This role is built for a hands on engineer with deep AI and software development expertise who can independently set and drive a technical agenda - building production systems, embedding intelligent tooling, and owning project outcomes across a complex, high impact domain. You will work alongside high calibre engineers and engaged business partners to architect, build, and deliver solutions that redefine how XVA risk is calculated and managed globally. Responsibilities Design, build, and maintain scalable, high performance software solutions for XVA risk systems, writing and reviewing production quality code while ensuring alignment with enterprise architecture standards. Build and integrate AI and Machine Learning solutions into core XVA workflows - applying Generative AI tooling to automate processes, improve analytical accuracy, and measurably accelerate engineering output. Take end to end ownership of technology projects - from initial design and development through to production release - coordinating across engineering, business, and operations teams to keep projects on track. Lead and run technology projects with confidence, managing timelines, dependencies, and stakeholder expectations while keeping the engineering team focused and unblocked. Translate complex business requirements from Risk, Operations, and Technology partners into clear functional specifications, well structured solution designs, and working software. Drive Agile delivery practices across cross functional and distributed teams, facilitating sprint planning, stand ups, retrospectives, and release coordination. Define project scope and ensure all solutions meet regulatory and compliance requirements, proactively identifying and resolving technical and delivery risks across market risk technology projects. Mentor engineers and analysts, sharing technical knowledge, setting quality standards, and building team capability - particularly in modern engineering practices and AI tooling. Required Qualifications & Skills Extensive hands on software engineering experience at Vice President level or equivalent, with a strong foundation in Python or Java and a track record of delivering production grade systems in a financial services environment. Hands on experience building and deploying AI or Machine Learning solutions in a production environment, with the ability to identify where Generative AI tooling can be embedded to measurably improve engineering workflows and analytical capabilities. Ability to independently own and drive a technical agenda - setting direction, making architectural decisions, and managing project outcomes without requiring close oversight. Solid understanding of distributed systems, microservices architecture, and scalable data processing, with the ability to make and defend architectural decisions under real world constraints. Domain knowledge in XVA (X Value Adjustment), market risk, or related regulatory frameworks such as FRTB or Netted CVA, with the ability to engage credibly with both technical and business stakeholders. Clear, confident communication skills - able to present complex technical concepts to non technical audiences and align diverse stakeholders around a shared project plan. Bachelor's degree in Computer Science, Engineering, or a related discipline. Beneficial Skills & Qualifications Experience leading AI or automation initiatives within a financial services engineering team, including tooling evaluation, integration, and measuring productivity outcomes. Familiarity with cloud platforms (AWS, Azure, or GCP) and DevOps practices including containerisation, CI/CD pipelines, and infrastructure as code. Master's degree in Computer Science, Finance, or a related field; professional certifications such as PMP, CSM, or AI/ML credentials are a plus. Prior experience applying AI or automation specifically within risk analytics, trading systems, or regulatory reporting workflows. Benefits Competitive base salary, annually reviewed 27 days annual leave (plus bank holidays) Discretionary annual performance related bonus Private Medical Care & Life Insurance Employee Assistance Program Pension Plan Paid Parental Leave Special discounts for employees, family, and friends Access to an array of learning and development resources Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law. If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review Accessibility at Citi. View Citi's EEO Policy Statement and the Know Your Rights poster.
12/07/2026
Full time
Join Citi's XVA Technology team in London as a Lead Software Engineer at Vice President level, and take on a role at the intersection of advanced software engineering and AI driven innovation - at a firm where your code, your decisions, and your ideas operate at global scale. This role is built for a hands on engineer with deep AI and software development expertise who can independently set and drive a technical agenda - building production systems, embedding intelligent tooling, and owning project outcomes across a complex, high impact domain. You will work alongside high calibre engineers and engaged business partners to architect, build, and deliver solutions that redefine how XVA risk is calculated and managed globally. Responsibilities Design, build, and maintain scalable, high performance software solutions for XVA risk systems, writing and reviewing production quality code while ensuring alignment with enterprise architecture standards. Build and integrate AI and Machine Learning solutions into core XVA workflows - applying Generative AI tooling to automate processes, improve analytical accuracy, and measurably accelerate engineering output. Take end to end ownership of technology projects - from initial design and development through to production release - coordinating across engineering, business, and operations teams to keep projects on track. Lead and run technology projects with confidence, managing timelines, dependencies, and stakeholder expectations while keeping the engineering team focused and unblocked. Translate complex business requirements from Risk, Operations, and Technology partners into clear functional specifications, well structured solution designs, and working software. Drive Agile delivery practices across cross functional and distributed teams, facilitating sprint planning, stand ups, retrospectives, and release coordination. Define project scope and ensure all solutions meet regulatory and compliance requirements, proactively identifying and resolving technical and delivery risks across market risk technology projects. Mentor engineers and analysts, sharing technical knowledge, setting quality standards, and building team capability - particularly in modern engineering practices and AI tooling. Required Qualifications & Skills Extensive hands on software engineering experience at Vice President level or equivalent, with a strong foundation in Python or Java and a track record of delivering production grade systems in a financial services environment. Hands on experience building and deploying AI or Machine Learning solutions in a production environment, with the ability to identify where Generative AI tooling can be embedded to measurably improve engineering workflows and analytical capabilities. Ability to independently own and drive a technical agenda - setting direction, making architectural decisions, and managing project outcomes without requiring close oversight. Solid understanding of distributed systems, microservices architecture, and scalable data processing, with the ability to make and defend architectural decisions under real world constraints. Domain knowledge in XVA (X Value Adjustment), market risk, or related regulatory frameworks such as FRTB or Netted CVA, with the ability to engage credibly with both technical and business stakeholders. Clear, confident communication skills - able to present complex technical concepts to non technical audiences and align diverse stakeholders around a shared project plan. Bachelor's degree in Computer Science, Engineering, or a related discipline. Beneficial Skills & Qualifications Experience leading AI or automation initiatives within a financial services engineering team, including tooling evaluation, integration, and measuring productivity outcomes. Familiarity with cloud platforms (AWS, Azure, or GCP) and DevOps practices including containerisation, CI/CD pipelines, and infrastructure as code. Master's degree in Computer Science, Finance, or a related field; professional certifications such as PMP, CSM, or AI/ML credentials are a plus. Prior experience applying AI or automation specifically within risk analytics, trading systems, or regulatory reporting workflows. Benefits Competitive base salary, annually reviewed 27 days annual leave (plus bank holidays) Discretionary annual performance related bonus Private Medical Care & Life Insurance Employee Assistance Program Pension Plan Paid Parental Leave Special discounts for employees, family, and friends Access to an array of learning and development resources Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law. If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review Accessibility at Citi. View Citi's EEO Policy Statement and the Know Your Rights poster.
XVA - Lead Software EngineerApplyremote type: Hybridlocations: London United Kingdomtime type: Full timeposted on: Posted Todayjob requisition id: Join Citi's XVA Technology team in London as a Lead Software Engineer at Vice President level, and take on a role at the intersection of advanced software engineering and AI-driven innovation - at a firm where your code, your decisions, and your ideas operate at global scale. This role is built for a hands-on engineer with deep AI and software development expertise who can independently set and drive a technical agenda - building production systems, embedding intelligent tooling, and owning project outcomes across a complex, high-impact domain. You will work alongside high-calibre engineers and engaged business partners to architect, build, and deliver solutions that redefine how XVA risk is calculated and managed globally. Responsibilities Design, build, and maintain scalable, high-performance software solutions for XVA risk systems, writing and reviewing production-quality code while ensuring alignment with enterprise architecture standards. Build and integrate AI and Machine Learning solutions into core XVA workflows - applying Generative AI tooling to automate processes, improve analytical accuracy, and measurably accelerate engineering output. Take end-to-end ownership of technology projects - from initial design and development through to production release - coordinating across engineering, business, and operations teams to keep projects on track. Lead and run technology projects with confidence, managing timelines, dependencies, and stakeholder expectations while keeping the engineering team focused and unblocked. Translate complex business requirements from Risk, Operations, and Technology partners into clear functional specifications, well-structured solution designs, and working software. Drive Agile delivery practices across cross-functional and distributed teams, facilitating sprint planning, stand-ups, retrospectives, and release coordination. Define project scope and ensure all solutions meet regulatory and compliance requirements, proactively identifying and resolving technical and delivery risks across market risk technology projects. Mentor engineers and analysts, sharing technical knowledge, setting quality standards, and building team capability - particularly in modern engineering practices and AI tooling. Required Qualifications & Skills Extensive hands-on software engineering experience at Vice President level or equivalent, with a strong foundation in Python or Java and a track record of delivering production-grade systems in a financial services environment. Hands-on experience building and deploying AI or Machine Learning solutions in a production environment, with the ability to identify where Generative AI tooling can be embedded to measurably improve engineering workflows and analytical capabilities. Ability to independently own and drive a technical agenda - setting direction, making architectural decisions, and managing project outcomes without requiring close oversight. Solid understanding of distributed systems, microservices architecture, and scalable data processing, with the ability to make and defend architectural decisions under real-world constraints. Domain knowledge in XVA (X-Value Adjustment), market risk, or related regulatory frameworks such as FRTB or Netted CVA, with the ability to engage credibly with both technical and business stakeholders. Clear, confident communication skills - able to present complex technical concepts to non-technical audiences and align diverse stakeholders around a shared project plan. Bachelor's degree in Computer Science, Engineering, or a related discipline. Beneficial Skills & Qualifications Experience leading AI or automation initiatives within a financial services engineering team, including tooling evaluation, integration, and measuring productivity outcomes. Familiarity with cloud platforms (AWS, Azure, or GCP) and DevOps practices including containerisation, CI/CD pipelines, and infrastructure as code. Master's degree in Computer Science, Finance, or a related field; professional certifications such as PMP, CSM, or AI/ML credentials are a plus. Prior experience applying AI or automation specifically within risk analytics, trading systems, or regulatory reporting workflows.This job description provides a high-level review of the types of work performed. Other job-related duties may be assigned as required. What we'll provide you By joining Citi, you will not only be part of a business casual workplace with a hybrid working model (up to 2 days working at home per week), but also receive a competitive base salary (which is annually reviewed), and enjoy a whole host of additional benefits such as: 27 days annual leave (plus bank holidays) A discretional annual performance related bonus Private Medical Care & Life Insurance Employee Assistance Program Pension Plan Paid Parental Leave Special discounts for employees, family, and friends Access to an array of learning and development resourcesVisit our About Us Culture, Values & Benefits page to learn more.Alongside these benefits Citi is committed to ensuring our workplace is where everyone feels comfortable coming to work as their whole self, every day. We want the best talent around the world to be energized to join us, motivated to stay and empowered to thrive.
12/07/2026
Full time
XVA - Lead Software EngineerApplyremote type: Hybridlocations: London United Kingdomtime type: Full timeposted on: Posted Todayjob requisition id: Join Citi's XVA Technology team in London as a Lead Software Engineer at Vice President level, and take on a role at the intersection of advanced software engineering and AI-driven innovation - at a firm where your code, your decisions, and your ideas operate at global scale. This role is built for a hands-on engineer with deep AI and software development expertise who can independently set and drive a technical agenda - building production systems, embedding intelligent tooling, and owning project outcomes across a complex, high-impact domain. You will work alongside high-calibre engineers and engaged business partners to architect, build, and deliver solutions that redefine how XVA risk is calculated and managed globally. Responsibilities Design, build, and maintain scalable, high-performance software solutions for XVA risk systems, writing and reviewing production-quality code while ensuring alignment with enterprise architecture standards. Build and integrate AI and Machine Learning solutions into core XVA workflows - applying Generative AI tooling to automate processes, improve analytical accuracy, and measurably accelerate engineering output. Take end-to-end ownership of technology projects - from initial design and development through to production release - coordinating across engineering, business, and operations teams to keep projects on track. Lead and run technology projects with confidence, managing timelines, dependencies, and stakeholder expectations while keeping the engineering team focused and unblocked. Translate complex business requirements from Risk, Operations, and Technology partners into clear functional specifications, well-structured solution designs, and working software. Drive Agile delivery practices across cross-functional and distributed teams, facilitating sprint planning, stand-ups, retrospectives, and release coordination. Define project scope and ensure all solutions meet regulatory and compliance requirements, proactively identifying and resolving technical and delivery risks across market risk technology projects. Mentor engineers and analysts, sharing technical knowledge, setting quality standards, and building team capability - particularly in modern engineering practices and AI tooling. Required Qualifications & Skills Extensive hands-on software engineering experience at Vice President level or equivalent, with a strong foundation in Python or Java and a track record of delivering production-grade systems in a financial services environment. Hands-on experience building and deploying AI or Machine Learning solutions in a production environment, with the ability to identify where Generative AI tooling can be embedded to measurably improve engineering workflows and analytical capabilities. Ability to independently own and drive a technical agenda - setting direction, making architectural decisions, and managing project outcomes without requiring close oversight. Solid understanding of distributed systems, microservices architecture, and scalable data processing, with the ability to make and defend architectural decisions under real-world constraints. Domain knowledge in XVA (X-Value Adjustment), market risk, or related regulatory frameworks such as FRTB or Netted CVA, with the ability to engage credibly with both technical and business stakeholders. Clear, confident communication skills - able to present complex technical concepts to non-technical audiences and align diverse stakeholders around a shared project plan. Bachelor's degree in Computer Science, Engineering, or a related discipline. Beneficial Skills & Qualifications Experience leading AI or automation initiatives within a financial services engineering team, including tooling evaluation, integration, and measuring productivity outcomes. Familiarity with cloud platforms (AWS, Azure, or GCP) and DevOps practices including containerisation, CI/CD pipelines, and infrastructure as code. Master's degree in Computer Science, Finance, or a related field; professional certifications such as PMP, CSM, or AI/ML credentials are a plus. Prior experience applying AI or automation specifically within risk analytics, trading systems, or regulatory reporting workflows.This job description provides a high-level review of the types of work performed. Other job-related duties may be assigned as required. What we'll provide you By joining Citi, you will not only be part of a business casual workplace with a hybrid working model (up to 2 days working at home per week), but also receive a competitive base salary (which is annually reviewed), and enjoy a whole host of additional benefits such as: 27 days annual leave (plus bank holidays) A discretional annual performance related bonus Private Medical Care & Life Insurance Employee Assistance Program Pension Plan Paid Parental Leave Special discounts for employees, family, and friends Access to an array of learning and development resourcesVisit our About Us Culture, Values & Benefits page to learn more.Alongside these benefits Citi is committed to ensuring our workplace is where everyone feels comfortable coming to work as their whole self, every day. We want the best talent around the world to be energized to join us, motivated to stay and empowered to thrive.
Join Citi's XVA Technology team in London as a Lead Software Engineer at Vice President level, and take on a role at the intersection of advanced software engineering and AI-driven innovation - at a firm where your code, your decisions, and your ideas operate at global scale. This role is built for a hands on engineer with deep AI and software development expertise who can independently set and drive a technical agenda - building production systems, embedding intelligent tooling, and owning project outcomes across a complex, high-impact domain. You will work alongside high calibre engineers and engaged business partners to architect, build, and deliver solutions that redefine how XVA risk is calculated and managed globally. Responsibilities Design, build, and maintain scalable, high-performance software solutions for XVA risk systems, writing and reviewing production-quality code while ensuring alignment with enterprise architecture standards. Build and integrate AI and Machine Learning solutions into core XVA workflows - applying Generative AI tooling to automate processes, improve analytical accuracy, and measurably accelerate engineering output. Take end to end ownership of technology projects - from initial design and development through to production release - coordinating across engineering, business, and operations teams to keep projects on track. Lead and run technology projects with confidence, managing timelines, dependencies, and stakeholder expectations while keeping the engineering team focused and unblocked. Translate complex business requirements from Risk, Operations, and Technology partners into clear functional specifications, well structured solution designs, and working software. Drive Agile delivery practices across cross functional and distributed teams, facilitating sprint planning, stand ups, retrospectives, and release coordination. Define project scope and ensure all solutions meet regulatory and compliance requirements, proactively identifying and resolving technical and delivery risks across market risk technology projects. Mentor engineers and analysts, sharing technical knowledge, setting quality standards, and building team capability - particularly in modern engineering practices and AI tooling. Required Qualifications & Skills Extensive hands on software engineering experience at Vice President level or equivalent, with a strong foundation in Python or Java and a track record of delivering production grade systems in a financial services environment. Hands on experience building and deploying AI or Machine Learning solutions in a production environment, with the ability to identify where Generative AI tooling can be embedded to measurably improve engineering workflows and analytical capabilities. Ability to independently own and drive a technical agenda - setting direction, making architectural decisions, and managing project outcomes without requiring close oversight. Solid understanding of distributed systems, microservices architecture, and scalable data processing, with the ability to make and defend architectural decisions under real world constraints. Domain knowledge in XVA (X Value Adjustment), market risk, or related regulatory frameworks such as FRTB or Netted CVA, with the ability to engage credibly with both technical and business stakeholders. Clear, confident communication skills - able to present complex technical concepts to non technical audiences and align diverse stakeholders around a shared project plan. Bachelor's degree in Computer Science, Engineering, or a related discipline. Beneficial Skills & Qualifications Experience leading AI or automation initiatives within a financial services engineering team, including tooling evaluation, integration, and measuring productivity outcomes. Familiarity with cloud platforms (AWS, Azure, or GCP) and DevOps practices including containerisation, CI/CD pipelines, and infrastructure as code. Master's degree in Computer Science, Finance, or a related field; professional certifications such as PMP, CSM, or AI/ML credentials are a plus. Prior experience applying AI or automation specifically within risk analytics, trading systems, or regulatory reporting workflows. What we'll provide you By joining Citi, you will not only be part of a business casual workplace with a hybrid working model (up to 2 days working at home per week), but also receive a competitive base salary (which is annually reviewed), and enjoy a whole host of additional benefits such as: 27 days annual leave (plus bank holidays) A discretional annual performance related bonus Private Medical Care & Life Insurance Employee Assistance Program Pension Plan Paid Parental Leave Special discounts for employees, family, and friends Access to an array of learning and development resources Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law. If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity, please review Accessibility at Citi. View Citi's EEO Policy Statement and the Know Your Rights poster.
12/07/2026
Full time
Join Citi's XVA Technology team in London as a Lead Software Engineer at Vice President level, and take on a role at the intersection of advanced software engineering and AI-driven innovation - at a firm where your code, your decisions, and your ideas operate at global scale. This role is built for a hands on engineer with deep AI and software development expertise who can independently set and drive a technical agenda - building production systems, embedding intelligent tooling, and owning project outcomes across a complex, high-impact domain. You will work alongside high calibre engineers and engaged business partners to architect, build, and deliver solutions that redefine how XVA risk is calculated and managed globally. Responsibilities Design, build, and maintain scalable, high-performance software solutions for XVA risk systems, writing and reviewing production-quality code while ensuring alignment with enterprise architecture standards. Build and integrate AI and Machine Learning solutions into core XVA workflows - applying Generative AI tooling to automate processes, improve analytical accuracy, and measurably accelerate engineering output. Take end to end ownership of technology projects - from initial design and development through to production release - coordinating across engineering, business, and operations teams to keep projects on track. Lead and run technology projects with confidence, managing timelines, dependencies, and stakeholder expectations while keeping the engineering team focused and unblocked. Translate complex business requirements from Risk, Operations, and Technology partners into clear functional specifications, well structured solution designs, and working software. Drive Agile delivery practices across cross functional and distributed teams, facilitating sprint planning, stand ups, retrospectives, and release coordination. Define project scope and ensure all solutions meet regulatory and compliance requirements, proactively identifying and resolving technical and delivery risks across market risk technology projects. Mentor engineers and analysts, sharing technical knowledge, setting quality standards, and building team capability - particularly in modern engineering practices and AI tooling. Required Qualifications & Skills Extensive hands on software engineering experience at Vice President level or equivalent, with a strong foundation in Python or Java and a track record of delivering production grade systems in a financial services environment. Hands on experience building and deploying AI or Machine Learning solutions in a production environment, with the ability to identify where Generative AI tooling can be embedded to measurably improve engineering workflows and analytical capabilities. Ability to independently own and drive a technical agenda - setting direction, making architectural decisions, and managing project outcomes without requiring close oversight. Solid understanding of distributed systems, microservices architecture, and scalable data processing, with the ability to make and defend architectural decisions under real world constraints. Domain knowledge in XVA (X Value Adjustment), market risk, or related regulatory frameworks such as FRTB or Netted CVA, with the ability to engage credibly with both technical and business stakeholders. Clear, confident communication skills - able to present complex technical concepts to non technical audiences and align diverse stakeholders around a shared project plan. Bachelor's degree in Computer Science, Engineering, or a related discipline. Beneficial Skills & Qualifications Experience leading AI or automation initiatives within a financial services engineering team, including tooling evaluation, integration, and measuring productivity outcomes. Familiarity with cloud platforms (AWS, Azure, or GCP) and DevOps practices including containerisation, CI/CD pipelines, and infrastructure as code. Master's degree in Computer Science, Finance, or a related field; professional certifications such as PMP, CSM, or AI/ML credentials are a plus. Prior experience applying AI or automation specifically within risk analytics, trading systems, or regulatory reporting workflows. What we'll provide you By joining Citi, you will not only be part of a business casual workplace with a hybrid working model (up to 2 days working at home per week), but also receive a competitive base salary (which is annually reviewed), and enjoy a whole host of additional benefits such as: 27 days annual leave (plus bank holidays) A discretional annual performance related bonus Private Medical Care & Life Insurance Employee Assistance Program Pension Plan Paid Parental Leave Special discounts for employees, family, and friends Access to an array of learning and development resources Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law. If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity, please review Accessibility at Citi. View Citi's EEO Policy Statement and the Know Your Rights poster.
Software & Data EngineersApplylocations: London, United Kingdomtime type: Full timeposted on: Posted Todayjob requisition id: R ROLE SUMMARY: FTSE Russell, part of LSEG, powers some of the world's most recognised benchmarks and index solutions. Our technology, data and products help investors measure, manage and capture market opportunities across global financial markets. As we continue to modernise our platforms and scale our capabilities, our engineers, product specialists and data experts play a critical role in delivering innovative solutions that support investment decisions for clients worldwide. WHAT YOU'LL DO: We're looking for a hands-on engineers to help modernise and scale the FTSE platform - a cloud-native, low-latency system that operates at global scale and underpins critical investment products used worldwide.We are recruiting for individual contributors across a varied technical tech. You'll work on challenging problems across software engineering where performance, data quality, and reliability are non-negotiable, while leveraging modern cloud (AWS) and AI-assisted development tooling to accelerate delivery without compromising control.You will be need to have practical use of AI-assisted development tooling to improve engineering productivity. WHAT YOU'LL BRING: Experience developing software using Java, Python, C++, C#, or similar technologies Experience with cloud platforms such as AWS or Azure Knowledge of CI/CD, automation, testing, and modern engineering practices Strong problem-solving and analytical skills Interest in AI and emerging technologies Ability to collaborate effectively across global teams Bachelor's degree in computer science, Engineering, or equivalent practical experience Experience We Value We value curiosity, innovation, and continuous learning, and we're looking for engineers who are excited by emerging technologies and motivated to make a meaningful impact . Join us and help build the technology and data platforms that sit at the heart of global finance. We welcome professionals with experience in one or more of the following areas: Software Engineering Data Engineering Cloud & Platform Engineering Site Reliability Engineering (SRE) AI & Machine Learning DevOps & Automation Architecture & Distributed Systems Analytics & Data PlatformsBring your curiosity, expertise, and ambition-and help build what's next for global investment and market intelligence. ABOUT US: LSEG (London Stock Exchange Group) is more than a diversified global financial markets infrastructure and data business. We are dedicated, open-access partners with a dedication to excellence in delivering the services our customers expect from us. With extensive experience, deep knowledge and worldwide presence across financial markets, we enable businesses and economies around the world to fund innovation, manage risk and create jobs. It's how we've contributed to supporting the financial stability and growth of communities and economies globally for more than 300 years. Through a comprehensive suite of trusted financial market infrastructure services - and our open-access model - we provide the flexibility, stability and trust that enable our customers to pursue their ambitions with confidence and clarity.LSEG is headquartered in the United Kingdom, with significant operations in 70 countries across EMEA, North America, Latin America and Asia Pacific. We employ 25,000 people globally, more than half located in Asia Pacific. LSEG's ticker symbol is LSEG. OUR PEOPLE: People are at the heart of what we do and drive the success of our business. Our culture of connecting, creating opportunity and delivering excellence shape how we think, how we do things and how we help our people fulfil their potential. We embrace diversity and actively seek to attract individuals with unique backgrounds and perspectives. We break down barriers and encourage teamwork, enabling innovation and rapid development of solutions that make a difference. Our workplace generates an enriching and rewarding experience for our people and customers alike. Our vision is to build an inclusive culture in which everyone feels encouraged to fulfil their potential.We know that real personal growth cannot be achieved by simply climbing a career ladder - which is why we encourage and enable a wealth of avenues and interesting opportunities for everyone to broaden and deepen their skills and expertise. As a global organisation spanning 70 countries and one rooted in a culture of growth, opportunity, diversity and innovation, LSEG is a place where everyone can grow, develop and fulfil your potential with meaningful careers Career Stage: Senior Associate London Stock Exchange Group (LSEG) Information: Join us and be part of a team that values innovation, quality, and continuous improvement. If you're ready to take your career to the next level and make a significant impact, we'd love to hear from you.LSEG is a leading global financial markets infrastructure and data provider. Our purpose is driving financial stability, empowering economies and enabling customers to create sustainable growth.Our purpose is the foundation on which our culture is built. Our values of Integrity, Partnership , Excellence and Change underpin our purpose and set the standard for everything we do, every day. They go to the heart of who we are and guide our decision making and everyday actions.Working with us means that you will be part of a dynamic organisation of 25,000 people across 65 countries. However, we will value your individuality and enable you to bring your true self to work so you can help enrich our diverse workforce.We are proud to be an equal opportunities employer. This means that we do not discriminate on the basis of anyone's race, religion, colour, national origin, gender, sexual orientation, gender identity, gender expression, age, marital status, veteran status, pregnancy or disability, or any other basis protected under applicable law. Conforming with applicable law, we can reasonably accommodate applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs.You will be part of a collaborative and creative culture where we encourage new ideas. We are committed to sustainability across our global business and we are proud to partner with our customers to help them meet their sustainability objectives. Our charity, the LSEG Foundation provides charitable grants to community groups that help people access economic opportunities and build a secure future with financial independence. Colleagues can get involved through fundraising and volunteering.LSEG offers a range of tailored benefits and support, including healthcare, retirement planning, paid volunteering days and wellbeing initiatives.Please take a moment to read this privacy notice carefully, as it describes what personal information London Stock Exchange Group (LSEG) (we) may hold about you, what it's used for, and how it's obtained, your rights and how to contact us as a data subject.If you are submitting as a Recruitment Agency Partner, it is essential and your responsibility to ensure that candidates applying to LSEG are aware of this privacy notice.
12/07/2026
Full time
Software & Data EngineersApplylocations: London, United Kingdomtime type: Full timeposted on: Posted Todayjob requisition id: R ROLE SUMMARY: FTSE Russell, part of LSEG, powers some of the world's most recognised benchmarks and index solutions. Our technology, data and products help investors measure, manage and capture market opportunities across global financial markets. As we continue to modernise our platforms and scale our capabilities, our engineers, product specialists and data experts play a critical role in delivering innovative solutions that support investment decisions for clients worldwide. WHAT YOU'LL DO: We're looking for a hands-on engineers to help modernise and scale the FTSE platform - a cloud-native, low-latency system that operates at global scale and underpins critical investment products used worldwide.We are recruiting for individual contributors across a varied technical tech. You'll work on challenging problems across software engineering where performance, data quality, and reliability are non-negotiable, while leveraging modern cloud (AWS) and AI-assisted development tooling to accelerate delivery without compromising control.You will be need to have practical use of AI-assisted development tooling to improve engineering productivity. WHAT YOU'LL BRING: Experience developing software using Java, Python, C++, C#, or similar technologies Experience with cloud platforms such as AWS or Azure Knowledge of CI/CD, automation, testing, and modern engineering practices Strong problem-solving and analytical skills Interest in AI and emerging technologies Ability to collaborate effectively across global teams Bachelor's degree in computer science, Engineering, or equivalent practical experience Experience We Value We value curiosity, innovation, and continuous learning, and we're looking for engineers who are excited by emerging technologies and motivated to make a meaningful impact . Join us and help build the technology and data platforms that sit at the heart of global finance. We welcome professionals with experience in one or more of the following areas: Software Engineering Data Engineering Cloud & Platform Engineering Site Reliability Engineering (SRE) AI & Machine Learning DevOps & Automation Architecture & Distributed Systems Analytics & Data PlatformsBring your curiosity, expertise, and ambition-and help build what's next for global investment and market intelligence. ABOUT US: LSEG (London Stock Exchange Group) is more than a diversified global financial markets infrastructure and data business. We are dedicated, open-access partners with a dedication to excellence in delivering the services our customers expect from us. With extensive experience, deep knowledge and worldwide presence across financial markets, we enable businesses and economies around the world to fund innovation, manage risk and create jobs. It's how we've contributed to supporting the financial stability and growth of communities and economies globally for more than 300 years. Through a comprehensive suite of trusted financial market infrastructure services - and our open-access model - we provide the flexibility, stability and trust that enable our customers to pursue their ambitions with confidence and clarity.LSEG is headquartered in the United Kingdom, with significant operations in 70 countries across EMEA, North America, Latin America and Asia Pacific. We employ 25,000 people globally, more than half located in Asia Pacific. LSEG's ticker symbol is LSEG. OUR PEOPLE: People are at the heart of what we do and drive the success of our business. Our culture of connecting, creating opportunity and delivering excellence shape how we think, how we do things and how we help our people fulfil their potential. We embrace diversity and actively seek to attract individuals with unique backgrounds and perspectives. We break down barriers and encourage teamwork, enabling innovation and rapid development of solutions that make a difference. Our workplace generates an enriching and rewarding experience for our people and customers alike. Our vision is to build an inclusive culture in which everyone feels encouraged to fulfil their potential.We know that real personal growth cannot be achieved by simply climbing a career ladder - which is why we encourage and enable a wealth of avenues and interesting opportunities for everyone to broaden and deepen their skills and expertise. As a global organisation spanning 70 countries and one rooted in a culture of growth, opportunity, diversity and innovation, LSEG is a place where everyone can grow, develop and fulfil your potential with meaningful careers Career Stage: Senior Associate London Stock Exchange Group (LSEG) Information: Join us and be part of a team that values innovation, quality, and continuous improvement. If you're ready to take your career to the next level and make a significant impact, we'd love to hear from you.LSEG is a leading global financial markets infrastructure and data provider. Our purpose is driving financial stability, empowering economies and enabling customers to create sustainable growth.Our purpose is the foundation on which our culture is built. Our values of Integrity, Partnership , Excellence and Change underpin our purpose and set the standard for everything we do, every day. They go to the heart of who we are and guide our decision making and everyday actions.Working with us means that you will be part of a dynamic organisation of 25,000 people across 65 countries. However, we will value your individuality and enable you to bring your true self to work so you can help enrich our diverse workforce.We are proud to be an equal opportunities employer. This means that we do not discriminate on the basis of anyone's race, religion, colour, national origin, gender, sexual orientation, gender identity, gender expression, age, marital status, veteran status, pregnancy or disability, or any other basis protected under applicable law. Conforming with applicable law, we can reasonably accommodate applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs.You will be part of a collaborative and creative culture where we encourage new ideas. We are committed to sustainability across our global business and we are proud to partner with our customers to help them meet their sustainability objectives. Our charity, the LSEG Foundation provides charitable grants to community groups that help people access economic opportunities and build a secure future with financial independence. Colleagues can get involved through fundraising and volunteering.LSEG offers a range of tailored benefits and support, including healthcare, retirement planning, paid volunteering days and wellbeing initiatives.Please take a moment to read this privacy notice carefully, as it describes what personal information London Stock Exchange Group (LSEG) (we) may hold about you, what it's used for, and how it's obtained, your rights and how to contact us as a data subject.If you are submitting as a Recruitment Agency Partner, it is essential and your responsibility to ensure that candidates applying to LSEG are aware of this privacy notice.
is a fintech company that powers digital payment experiences worldwide. The Financial Infrastructure team builds and maintains core systems that process hundreds of billions of financial events each year. As an Analytics Engineer, you will partner with Finance and Treasury teams to translate business requirements into robust data models and pipelines, ensuring data accuracy, reliability, and regulatory compliance as scales. How You'll Make An Impact Design and build data pipelines that process data from our systems, services, and applications. Implement monitoring and alerting frameworks to ensure data pipeline performance and reliability. Collaborate with other analytics engineers to design and implement scalable data models that support downstream operations and analytical queries. Maintain data governance and security standards across our systems. Evaluate and implement new technologies to improve our platform and systems. Work with Finance stakeholders to translate business requirements into technical specifications and Service Level Agreements. Qualifications 2+ years of experience in an Analytics Engineering or Data Engineering role focused on large scale data transformation and warehousing. Excellent SQL coding skills. Experience with cloud based data warehouse technologies such as Snowflake, Google BigQuery, or AWS Redshift. Experience with data transformation tools such as dbt or Dataflow. Understanding of data modeling techniques. Experience with visualization platforms such as Looker, Tableau, or Apache Superset. Knowledge of software engineering best practices and their application to data processing systems. Familiarity with Python, Java, or Flink is a plus. Strong attention to detail. Ability to work autonomously in a fast paced and dynamic environment. Strong communication and interpersonal skills.
12/07/2026
Full time
is a fintech company that powers digital payment experiences worldwide. The Financial Infrastructure team builds and maintains core systems that process hundreds of billions of financial events each year. As an Analytics Engineer, you will partner with Finance and Treasury teams to translate business requirements into robust data models and pipelines, ensuring data accuracy, reliability, and regulatory compliance as scales. How You'll Make An Impact Design and build data pipelines that process data from our systems, services, and applications. Implement monitoring and alerting frameworks to ensure data pipeline performance and reliability. Collaborate with other analytics engineers to design and implement scalable data models that support downstream operations and analytical queries. Maintain data governance and security standards across our systems. Evaluate and implement new technologies to improve our platform and systems. Work with Finance stakeholders to translate business requirements into technical specifications and Service Level Agreements. Qualifications 2+ years of experience in an Analytics Engineering or Data Engineering role focused on large scale data transformation and warehousing. Excellent SQL coding skills. Experience with cloud based data warehouse technologies such as Snowflake, Google BigQuery, or AWS Redshift. Experience with data transformation tools such as dbt or Dataflow. Understanding of data modeling techniques. Experience with visualization platforms such as Looker, Tableau, or Apache Superset. Knowledge of software engineering best practices and their application to data processing systems. Familiarity with Python, Java, or Flink is a plus. Strong attention to detail. Ability to work autonomously in a fast paced and dynamic environment. Strong communication and interpersonal skills.
Company Description We're - you might not know our name, but we're behind many of the digital experiences people use every day. When you book a holiday, order food, renew a subscription or check out online with brands like Spotify, Klarna, Uber Eats, TikTok, Sony, or eBay, there's a good chance our technology powers the payment behind the scenes. At we're building where the world checks out - enabling over ten billion transactions every year for more than one billion shoppers globally. Our platform helps the world's most ambitious businesses deliver seamless digital experiences at scale. We're also building a company designed for people who want to do career-defining work. We move fast, think globally, and believe great teams are built by hiring exceptional people with conviction, curiosity, and a focus on impact. With 20 offices across six continents and London as our HQ, we're shaping the future of fintech and we're just getting started. You will be joining the Financial Infrastructure team, responsible for building and maintaining the core systems powering our internal financial ecosystem. Every year, we process hundreds of billions of events that have a financial impact on and our merchants. Our team is responsible for maintaining an accurate record of all financial data, the data integrity of our systems and ensuring our infrastructure meets regulatory and compliance obligations in a scalable, reliable and fault-tolerant manner. As an Analytics Engineer, you will play a pivotal role in our mission to make our financial data capabilities world-class. You will work closely with our Finance and Treasury teams to translate their requirements into robust and intuitive data models. You will design and build the data pipelines necessary to process and transform large amounts of data that our systems generate. You will be responsible for ensuring the accuracy and reliability of these data pipelines, as Checkout continues to scale as a business. You will have ownership over these processes, allowing you to take charge in maintaining a high standard of data quality. How You'll Make An Impact Design and build data pipelines to process data from our systems, services and applications. Implement monitoring and alerting frameworks to ensure data pipeline performance and reliability. Partner with other analytics engineers to design and implement scalable data models that support downstream business operations and analytical queries. Ensure data governance and security standards are maintained across our systems. Continuously evaluate and implement new technologies to improve our platform and systems. Collaborate with Finance stakeholders to translate business requirements into technical specifications and Service Level Agreements. Qualifications 2+ years of experience in an Analytics Engineering or Data Engineering role with a focus on large scale data transformation and data warehousing. Excellent SQL coding skills. Experience with cloud-based data warehouse technologies such as Snowflake, Google BigQuery, or AWS Redshift. Experience with data transformation tools such as dbt, or Dataflow. Understanding of data modeling techniques. Experience with using visualisation platforms such as Looker, Tableau, or Apache Superset. Understanding of software engineering best practices and their application to data processing systems. Knowledge of Python, Java or Flink is a plus, but not a necessity. Strong attention to detail. Ability to work autonomously in a fast paced and dynamic environment. Strong communication and interpersonal skills. Additional Information Bring all of you to work We create the conditions for high performers to thrive, through real ownership, fewer blockers, and work that makes a difference from day one. Here, you'll move fast, take on meaningful challenges, and be recognized for the impact you deliver. It's a place where ambition gets met with opportunity, and where your growth is in your hands. We work as one team, and we back each other to succeed. So whatever your background or identity, if you're ready to grow and make a difference, you'll be right at home here. It's important we set you up for success and make our process as accessible as possible. So let us know in your application, or tell your recruiter directly, if you need anything to make your experience or working environment more comfortable. Life at We understand that work is just one part of your life. Our hybrid working model offers flexibility, with three days per week in the office to support collaboration and connection. Curious about what it's like to be part of our team? Visit our Careers Page to learn more about our culture, open roles, and what drives us. For a closer look at daily life at follow us on LinkedIn and Instagram
11/07/2026
Full time
Company Description We're - you might not know our name, but we're behind many of the digital experiences people use every day. When you book a holiday, order food, renew a subscription or check out online with brands like Spotify, Klarna, Uber Eats, TikTok, Sony, or eBay, there's a good chance our technology powers the payment behind the scenes. At we're building where the world checks out - enabling over ten billion transactions every year for more than one billion shoppers globally. Our platform helps the world's most ambitious businesses deliver seamless digital experiences at scale. We're also building a company designed for people who want to do career-defining work. We move fast, think globally, and believe great teams are built by hiring exceptional people with conviction, curiosity, and a focus on impact. With 20 offices across six continents and London as our HQ, we're shaping the future of fintech and we're just getting started. You will be joining the Financial Infrastructure team, responsible for building and maintaining the core systems powering our internal financial ecosystem. Every year, we process hundreds of billions of events that have a financial impact on and our merchants. Our team is responsible for maintaining an accurate record of all financial data, the data integrity of our systems and ensuring our infrastructure meets regulatory and compliance obligations in a scalable, reliable and fault-tolerant manner. As an Analytics Engineer, you will play a pivotal role in our mission to make our financial data capabilities world-class. You will work closely with our Finance and Treasury teams to translate their requirements into robust and intuitive data models. You will design and build the data pipelines necessary to process and transform large amounts of data that our systems generate. You will be responsible for ensuring the accuracy and reliability of these data pipelines, as Checkout continues to scale as a business. You will have ownership over these processes, allowing you to take charge in maintaining a high standard of data quality. How You'll Make An Impact Design and build data pipelines to process data from our systems, services and applications. Implement monitoring and alerting frameworks to ensure data pipeline performance and reliability. Partner with other analytics engineers to design and implement scalable data models that support downstream business operations and analytical queries. Ensure data governance and security standards are maintained across our systems. Continuously evaluate and implement new technologies to improve our platform and systems. Collaborate with Finance stakeholders to translate business requirements into technical specifications and Service Level Agreements. Qualifications 2+ years of experience in an Analytics Engineering or Data Engineering role with a focus on large scale data transformation and data warehousing. Excellent SQL coding skills. Experience with cloud-based data warehouse technologies such as Snowflake, Google BigQuery, or AWS Redshift. Experience with data transformation tools such as dbt, or Dataflow. Understanding of data modeling techniques. Experience with using visualisation platforms such as Looker, Tableau, or Apache Superset. Understanding of software engineering best practices and their application to data processing systems. Knowledge of Python, Java or Flink is a plus, but not a necessity. Strong attention to detail. Ability to work autonomously in a fast paced and dynamic environment. Strong communication and interpersonal skills. Additional Information Bring all of you to work We create the conditions for high performers to thrive, through real ownership, fewer blockers, and work that makes a difference from day one. Here, you'll move fast, take on meaningful challenges, and be recognized for the impact you deliver. It's a place where ambition gets met with opportunity, and where your growth is in your hands. We work as one team, and we back each other to succeed. So whatever your background or identity, if you're ready to grow and make a difference, you'll be right at home here. It's important we set you up for success and make our process as accessible as possible. So let us know in your application, or tell your recruiter directly, if you need anything to make your experience or working environment more comfortable. Life at We understand that work is just one part of your life. Our hybrid working model offers flexibility, with three days per week in the office to support collaboration and connection. Curious about what it's like to be part of our team? Visit our Careers Page to learn more about our culture, open roles, and what drives us. For a closer look at daily life at follow us on LinkedIn and Instagram
Senior Java DeveloperApplylocations: Kings Cross, Londonposted on: Posted 7 Days Agojob requisition id: UMG-18568Music is Universal It's the passionate and dedicated team at Universal Music who help make us the world's leading music company. From A&R to finance, legal to digital, sales to marketing, Universal Music is the place to grow and develop your career within a truly commercial and innovative business that leads in everything it does.Everyone is welcome to apply for our roles, and we are determined to ensure that no applicant or employee receives less favourable treatment because of gender, race, disability, sexual orientation, religion, belief, age, marital status, background, pregnancy, or caring responsibilities. We also recognise the importance of diversity of thought within our teams and are fully committed to embracing the talents of people with autism, dyslexia, ADHD, and other forms of neurocognitive variation.We will always seek to make appropriate adjustments to recruitment, workplaces, and work processes to be fully inclusive to people with different needs and working styles. If you need us to make any reasonable adjustments for you from application onwards, including alternatives to the online form or to disclose a neurocognitive condition, please email . The Role We are seeking a seasoned Senior Java Developer to join our dynamic team. The ideal candidate should possess strong proficiency and hands-on experience with Spring Boot and core frameworks integral to enterprise software development. A robust understanding of relational databases and SQL is crucial, alongside expertise in traditional web application and API development. Skills and experience with agile, event-based architectures and data streaming technologies is also welcome.The candidate will be joining a team working on a greenfield project that will be used globally by UMG staff. It will involve use of web technologies, relational databases, API development and integration with other IT systems within UMG.If you are a proactive and experienced Java developer with a passion for leading teams and contributing to the broader development goals of the department, we invite you to apply and be part of our innovative and collaborative work environment. Key Responsibilities Own and lead the end-to-end delivery of major features or services Drive technical direction and long-term roadmap Drive continuous improvement Master the business domain and customer workflows Champion and evangelise best practices Skills and Experience Required Must Have: Proficiency in Java, with a focus on Spring Boot and core enterprise frameworks Strong understanding of enterprise software development and key design patterns Extensive experience with relational databases, SQL and ORM frameworks Extensive experience with unit, integration and automation testing Experience with service-oriented architectures and web-service API development Expertise in cloud-based development (ideally AWS) and container technologies (e.g. Docker, Kubernetes) Experience with SCRUM Agile methodology Track record of leading projects end-to-end and shipping them successfully to production Nice to Have: Experience with NoSQL systems (e.g. mongodb, dynamodb, elasticsearch) Experience with front-end web development technologies (react, angular) Experience with data streaming technologies (kafka) Experience / awareness of data engineering technologies (apache iceberg, trino, flink, python) Key Behaviours Demonstrated leadership skills, including team mentoring and project ownership Strong collaborative ethos Strong creative and innovative problem-solving skills Experience leading development teams, able to demonstrate effective leadership skills Experience mentoring and guiding junior developers, fostering a collaborative and growth-oriented environment Able to exhibit a keen interest in the broader scope of development within the department, as well as being proactive with plans to improve the existing platforms / implementations Strong communication and interpersonal skills Initiative and the ability to work independently and in a team Engage with colleagues to promote great software design and quality Bonus Tracks: Your Benefits Group Personal Pension Scheme (between 3% and 9%) Private Medical Insurance 25 paid days of annual leave Interest Free Season Ticket Loan Holiday Purchase scheme Dental and Travel Insurance options Cycle to Work Scheme Salary Sacrifice Cars Subsidised Gym Membership Employee Discounts (Reward Gateway)Just So You Know The company presents this job description as a guide to the major areas and duties for which the jobholder is accountable. However, the business operates in an environment that demands change and the jobholder's specific responsibilities and activities will vary and develop. Therefore, the job description should be seen as indicative and not as a permanent, definitive, and exhaustive statement. Job Category: Technology About UsWe are Universal Music Group, the world's leading music company. We are the home for music's greatest artists, innovators and entrepreneurs.
11/07/2026
Full time
Senior Java DeveloperApplylocations: Kings Cross, Londonposted on: Posted 7 Days Agojob requisition id: UMG-18568Music is Universal It's the passionate and dedicated team at Universal Music who help make us the world's leading music company. From A&R to finance, legal to digital, sales to marketing, Universal Music is the place to grow and develop your career within a truly commercial and innovative business that leads in everything it does.Everyone is welcome to apply for our roles, and we are determined to ensure that no applicant or employee receives less favourable treatment because of gender, race, disability, sexual orientation, religion, belief, age, marital status, background, pregnancy, or caring responsibilities. We also recognise the importance of diversity of thought within our teams and are fully committed to embracing the talents of people with autism, dyslexia, ADHD, and other forms of neurocognitive variation.We will always seek to make appropriate adjustments to recruitment, workplaces, and work processes to be fully inclusive to people with different needs and working styles. If you need us to make any reasonable adjustments for you from application onwards, including alternatives to the online form or to disclose a neurocognitive condition, please email . The Role We are seeking a seasoned Senior Java Developer to join our dynamic team. The ideal candidate should possess strong proficiency and hands-on experience with Spring Boot and core frameworks integral to enterprise software development. A robust understanding of relational databases and SQL is crucial, alongside expertise in traditional web application and API development. Skills and experience with agile, event-based architectures and data streaming technologies is also welcome.The candidate will be joining a team working on a greenfield project that will be used globally by UMG staff. It will involve use of web technologies, relational databases, API development and integration with other IT systems within UMG.If you are a proactive and experienced Java developer with a passion for leading teams and contributing to the broader development goals of the department, we invite you to apply and be part of our innovative and collaborative work environment. Key Responsibilities Own and lead the end-to-end delivery of major features or services Drive technical direction and long-term roadmap Drive continuous improvement Master the business domain and customer workflows Champion and evangelise best practices Skills and Experience Required Must Have: Proficiency in Java, with a focus on Spring Boot and core enterprise frameworks Strong understanding of enterprise software development and key design patterns Extensive experience with relational databases, SQL and ORM frameworks Extensive experience with unit, integration and automation testing Experience with service-oriented architectures and web-service API development Expertise in cloud-based development (ideally AWS) and container technologies (e.g. Docker, Kubernetes) Experience with SCRUM Agile methodology Track record of leading projects end-to-end and shipping them successfully to production Nice to Have: Experience with NoSQL systems (e.g. mongodb, dynamodb, elasticsearch) Experience with front-end web development technologies (react, angular) Experience with data streaming technologies (kafka) Experience / awareness of data engineering technologies (apache iceberg, trino, flink, python) Key Behaviours Demonstrated leadership skills, including team mentoring and project ownership Strong collaborative ethos Strong creative and innovative problem-solving skills Experience leading development teams, able to demonstrate effective leadership skills Experience mentoring and guiding junior developers, fostering a collaborative and growth-oriented environment Able to exhibit a keen interest in the broader scope of development within the department, as well as being proactive with plans to improve the existing platforms / implementations Strong communication and interpersonal skills Initiative and the ability to work independently and in a team Engage with colleagues to promote great software design and quality Bonus Tracks: Your Benefits Group Personal Pension Scheme (between 3% and 9%) Private Medical Insurance 25 paid days of annual leave Interest Free Season Ticket Loan Holiday Purchase scheme Dental and Travel Insurance options Cycle to Work Scheme Salary Sacrifice Cars Subsidised Gym Membership Employee Discounts (Reward Gateway)Just So You Know The company presents this job description as a guide to the major areas and duties for which the jobholder is accountable. However, the business operates in an environment that demands change and the jobholder's specific responsibilities and activities will vary and develop. Therefore, the job description should be seen as indicative and not as a permanent, definitive, and exhaustive statement. Job Category: Technology About UsWe are Universal Music Group, the world's leading music company. We are the home for music's greatest artists, innovators and entrepreneurs.
AI EngineerApplylocations: Kings Cross, Londontime type: Full timeposted on: Posted 11 Days Agojob requisition id: UMG-25167Music is Universal It's the passionate and dedicated team at Universal Music who help make us the world's leading music company. From A&R to finance, legal to digital, sales to marketing, Universal Music is the place to grow and develop your career within a truly commercial and innovative business that leads in everything it does.Everyone is welcome to apply for our roles, and we are determined to ensure that no applicant or employee receives less favourable treatment because of gender, race, disability, sexual orientation, religion, belief, age, marital status, background, pregnancy, or caring responsibilities. We also recognise the importance of diversity of thought within our teams and are fully committed to embracing the talents of people with autism, dyslexia, ADHD, and other forms of neurocognitive variation.We will always seek to make appropriate adjustments to recruitment, workplaces, and work processes to be fully inclusive to people with different needs and working styles. If you need us to make any reasonable adjustments for you from application onwards, including alternatives to the online form or to disclose a neurocognitive condition, please email . Department Part of the Global Technology organization, the team's mission is to design and build state of the art AI/ML tools to support and empower Royalty Manager & Artists, and industry professionals.The team covers the full design & development lifecycle, from explorative research to design to prototypes to production scale programs. It typically undertakes programs with applications such as, but not limited to, royalty calculations, income claim, contract agreements, search, recommendation, etc.We are curious, passionate and committed to push the envelope in AI for music. If you are excited at the idea of working on state-of-the-art AI at industry scale and make an impact, we want to hear from you! The Role We're looking for an AI Engineer to build and ship machine learning and generative AI solutions that power how a modern music company operates across A&R insights, marketing optimization, audience growth, content operations, rights/royalty workflows, and creative tools. You'll partner with product, engineering, data, legal, and business teams to take ideas from prototype to production, with a strong focus on reliability, safety, and measurable impact. Key Responsibilities Be Technical Design and implement AI pipelines for automating royalty calculation and relation processes etc. Integrate foundation models (LLMs, vision models, etc.) into products using APIs and custom fine-tuning. Develop and maintain retrieval systems that operate efficiently at scale. Explore frontier software engineering in AI/ML for media, and related opportunities for UMG. Build on state-of-the-art cloud infrastructure. Be collaborative Collaborate with the team and stakeholders to deliver, operate and maintain products. Be part of an innovative and dynamic team. Skills and Experience Required Must have Background in Computer Science, Software Engineering, ML Ops, Artificial Intelligence or related technical field. 5+ years of hands-on professional experience in software/ML engineering. Proven ability to come up with designs for AI/ML systems, pipelines and/or applications, and to implement them successfully. Expertise in quantitative evaluation and benchmarking of state-of-the-art AI models. Up to date knowledge of state of the art for ML Ops, ML infrastructure, including related tools, design patterns, best practices etc. Experience with vector databases (e.g., Pinecone, FAISS, Milvus, Weaviate) and information retrieval systems and methods. Familiarity with media content (video, audio) ML pipelines. Proficiency in Python and common AI/ML libraries (e.g., PyTorch, Hugging Face Transformers, LangChain) and cloud frameworks (VertexAI, Bedrock, Sagemaker). Strong proficiency in Git, CI/CD workflows, and containerization (Docker/Kubernetes). Proficiency with Linux environments and cloud platforms (e.g. AWS, Google Cloud Platform). Ability to write clean, efficient, well documented, and reusable code. Good communication skills, both oral and written. Curious, self-motivated, and proactive. Nice to have Experience training and/or fine-tuning AI models. Experience with LLMs integration, fine-tuning and associated tools (e.g. LangChain, Agent frameworks). Competency in at least one other programming language (e.g. C/C++, Java). Experience going from POC to production-grade system. Key Behaviours Curious Innovator: You stay up to date with frontier AI technologies and enjoy experimenting with fresh ideas that push the boundaries, running experiments, and learning fast from results. Ownership Mindset: You take initiative, follow through on challenges, and bring a sense of accountability to everything you build. Pragmatic Problem Solver: You balance technical depth with real-world practicality - delivering elegant, efficient and robust solutions that get the job done. Collaborative Builder: You thrive in cross-functional teams, translating complex AI concepts into simple, impactful solutions that empower others. Culturally Connected: You have a genuine interest in music and the role of technology in supporting culture. About UMG UK We are Universal Music Group UK - the UK's leading music-based entertainment company. We exist to shape culture through the power of artistry. We help UK artists produce, distribute and promote the most critically acclaimed and commercially successful music to inspire and entertain fans at home and around the world. Bonus Tracks: Your Benefits Group Personal Pension Scheme (between 3% and 9%) Private Medical Insurance 25 paid days of annual leave Interest Free Season Ticket Loan Holiday Purchase scheme Dental and Travel Insurance options Cycle to Work Scheme Salary Sacrifice Cars Subsidised Gym Membership Employee Discounts (Reward Gateway)Just So You Know The company presents this job description as a guide to the major areas and duties for which the jobholder is accountable. However, the business operates in an environment that demands change and the jobholder's specific responsibilities and activities will vary and develop. Therefore, the job description should be seen as indicative and not as a permanent, definitive, and exhaustive statement.
10/07/2026
Full time
AI EngineerApplylocations: Kings Cross, Londontime type: Full timeposted on: Posted 11 Days Agojob requisition id: UMG-25167Music is Universal It's the passionate and dedicated team at Universal Music who help make us the world's leading music company. From A&R to finance, legal to digital, sales to marketing, Universal Music is the place to grow and develop your career within a truly commercial and innovative business that leads in everything it does.Everyone is welcome to apply for our roles, and we are determined to ensure that no applicant or employee receives less favourable treatment because of gender, race, disability, sexual orientation, religion, belief, age, marital status, background, pregnancy, or caring responsibilities. We also recognise the importance of diversity of thought within our teams and are fully committed to embracing the talents of people with autism, dyslexia, ADHD, and other forms of neurocognitive variation.We will always seek to make appropriate adjustments to recruitment, workplaces, and work processes to be fully inclusive to people with different needs and working styles. If you need us to make any reasonable adjustments for you from application onwards, including alternatives to the online form or to disclose a neurocognitive condition, please email . Department Part of the Global Technology organization, the team's mission is to design and build state of the art AI/ML tools to support and empower Royalty Manager & Artists, and industry professionals.The team covers the full design & development lifecycle, from explorative research to design to prototypes to production scale programs. It typically undertakes programs with applications such as, but not limited to, royalty calculations, income claim, contract agreements, search, recommendation, etc.We are curious, passionate and committed to push the envelope in AI for music. If you are excited at the idea of working on state-of-the-art AI at industry scale and make an impact, we want to hear from you! The Role We're looking for an AI Engineer to build and ship machine learning and generative AI solutions that power how a modern music company operates across A&R insights, marketing optimization, audience growth, content operations, rights/royalty workflows, and creative tools. You'll partner with product, engineering, data, legal, and business teams to take ideas from prototype to production, with a strong focus on reliability, safety, and measurable impact. Key Responsibilities Be Technical Design and implement AI pipelines for automating royalty calculation and relation processes etc. Integrate foundation models (LLMs, vision models, etc.) into products using APIs and custom fine-tuning. Develop and maintain retrieval systems that operate efficiently at scale. Explore frontier software engineering in AI/ML for media, and related opportunities for UMG. Build on state-of-the-art cloud infrastructure. Be collaborative Collaborate with the team and stakeholders to deliver, operate and maintain products. Be part of an innovative and dynamic team. Skills and Experience Required Must have Background in Computer Science, Software Engineering, ML Ops, Artificial Intelligence or related technical field. 5+ years of hands-on professional experience in software/ML engineering. Proven ability to come up with designs for AI/ML systems, pipelines and/or applications, and to implement them successfully. Expertise in quantitative evaluation and benchmarking of state-of-the-art AI models. Up to date knowledge of state of the art for ML Ops, ML infrastructure, including related tools, design patterns, best practices etc. Experience with vector databases (e.g., Pinecone, FAISS, Milvus, Weaviate) and information retrieval systems and methods. Familiarity with media content (video, audio) ML pipelines. Proficiency in Python and common AI/ML libraries (e.g., PyTorch, Hugging Face Transformers, LangChain) and cloud frameworks (VertexAI, Bedrock, Sagemaker). Strong proficiency in Git, CI/CD workflows, and containerization (Docker/Kubernetes). Proficiency with Linux environments and cloud platforms (e.g. AWS, Google Cloud Platform). Ability to write clean, efficient, well documented, and reusable code. Good communication skills, both oral and written. Curious, self-motivated, and proactive. Nice to have Experience training and/or fine-tuning AI models. Experience with LLMs integration, fine-tuning and associated tools (e.g. LangChain, Agent frameworks). Competency in at least one other programming language (e.g. C/C++, Java). Experience going from POC to production-grade system. Key Behaviours Curious Innovator: You stay up to date with frontier AI technologies and enjoy experimenting with fresh ideas that push the boundaries, running experiments, and learning fast from results. Ownership Mindset: You take initiative, follow through on challenges, and bring a sense of accountability to everything you build. Pragmatic Problem Solver: You balance technical depth with real-world practicality - delivering elegant, efficient and robust solutions that get the job done. Collaborative Builder: You thrive in cross-functional teams, translating complex AI concepts into simple, impactful solutions that empower others. Culturally Connected: You have a genuine interest in music and the role of technology in supporting culture. About UMG UK We are Universal Music Group UK - the UK's leading music-based entertainment company. We exist to shape culture through the power of artistry. We help UK artists produce, distribute and promote the most critically acclaimed and commercially successful music to inspire and entertain fans at home and around the world. Bonus Tracks: Your Benefits Group Personal Pension Scheme (between 3% and 9%) Private Medical Insurance 25 paid days of annual leave Interest Free Season Ticket Loan Holiday Purchase scheme Dental and Travel Insurance options Cycle to Work Scheme Salary Sacrifice Cars Subsidised Gym Membership Employee Discounts (Reward Gateway)Just So You Know The company presents this job description as a guide to the major areas and duties for which the jobholder is accountable. However, the business operates in an environment that demands change and the jobholder's specific responsibilities and activities will vary and develop. Therefore, the job description should be seen as indicative and not as a permanent, definitive, and exhaustive statement.
Job Description Purpose of the role: To design, develop and improve software, utilising various engineering methodologies, that provides business, platform, and technology capabilities for our customers and colleagues. Responsibilities Develop and deliver high quality software solutions using industry aligned programming languages, frameworks, and tools. Ensure code is scalable, maintainable, and optimized for performance. Collaborate cross functionally with product managers, designers, and other engineers to define requirements, devise solution strategies, and ensure seamless integration with business objectives. Participate in code reviews and promote a culture of code quality and knowledge sharing. Stay informed of industry technology trends and innovations, actively contributing to the organization's technology communities. Adhere to secure coding practices to mitigate vulnerabilities and protect sensitive data. Implement effective unit testing practices to ensure proper code design, readability, and reliability. Leadership & Strategic Expectations Contribute to strategy, drive requirements, and make recommendations for change. Plan resources, budgets, and policies; manage and maintain processes; deliver continuous improvements and elevate breaches of policies and procedures. Define jobs and responsibilities, plan future departmental needs, counsel employees on performance, and contribute to employee pay decisions. Lead specialists and influence department operations in alignment with strategic and tactical priorities while balancing short and long term goals and ensuring budgets and schedules meet corporate requirements. Demonstrate leadership behaviors: Listen and be authentic, Energise and inspire, Align across the enterprise, and Develop others. Act as a subject matter expert, guiding technical direction, leading collaborative multi year assignments, and coaching less experienced specialists. Advise stakeholders and senior management on functional and cross functional impacts, manage risks, and strengthen controls. Collaborate with other work areas to support business activity and strategies. Create solutions based on sophisticated analytical thought, adopting extensive research to define problems and develop innovative solutions. Build and maintain trusting relationships and partnerships to accomplish key business objectives. Barclays Core Values & Mindset All colleagues are expected to demonstrate the Barclays values of Respect, Integrity, Service, Excellence, and Stewardship, and the Barclays mindset of Empower, Challenge, and Drive. Role Overview Join Barclays as a Developer Platform Lead to own and scale our internal platform used by hundreds of engineers across the organization to build, deploy, and operate production applications. Your team will deliver a developer portal site, platform runtime services in Python, CI/CD pipelines, cloud/Kubernetes runtimes, automated governance tooling, software templates, and integrations with enterprise services. This role combines strategy, architecture, and hands on platform engineering leadership. Qualifications To succeed in this role, you should have: Excellent verbal and written communication skills to build and maintain relationships with business colleagues. Full stack application development experience with Python. Proficiency in GitLab/GitHub and CI/CD pipelines. Experience with Kubernetes and containerization. Experience building an internal developer platform for enterprise use (highly valued). Experience with leading finance platforms such as GS SecDB, JPM Athena, BoA Quartz, and Beacon. Experience embedding compliance controls and secure architectures into developer workflows. Proficiency in web development with TypeScript/JavaScript (React preferred). Experience with AWS or another public cloud provider. You may be assessed on key critical skills essential for success in this role, including risk and controls, change and transformation, business acumen, strategic thinking, digital and technological expertise, along with job specific technical skills. Location & Work Arrangement This role is based in London, with two days in office per week.
07/07/2026
Full time
Job Description Purpose of the role: To design, develop and improve software, utilising various engineering methodologies, that provides business, platform, and technology capabilities for our customers and colleagues. Responsibilities Develop and deliver high quality software solutions using industry aligned programming languages, frameworks, and tools. Ensure code is scalable, maintainable, and optimized for performance. Collaborate cross functionally with product managers, designers, and other engineers to define requirements, devise solution strategies, and ensure seamless integration with business objectives. Participate in code reviews and promote a culture of code quality and knowledge sharing. Stay informed of industry technology trends and innovations, actively contributing to the organization's technology communities. Adhere to secure coding practices to mitigate vulnerabilities and protect sensitive data. Implement effective unit testing practices to ensure proper code design, readability, and reliability. Leadership & Strategic Expectations Contribute to strategy, drive requirements, and make recommendations for change. Plan resources, budgets, and policies; manage and maintain processes; deliver continuous improvements and elevate breaches of policies and procedures. Define jobs and responsibilities, plan future departmental needs, counsel employees on performance, and contribute to employee pay decisions. Lead specialists and influence department operations in alignment with strategic and tactical priorities while balancing short and long term goals and ensuring budgets and schedules meet corporate requirements. Demonstrate leadership behaviors: Listen and be authentic, Energise and inspire, Align across the enterprise, and Develop others. Act as a subject matter expert, guiding technical direction, leading collaborative multi year assignments, and coaching less experienced specialists. Advise stakeholders and senior management on functional and cross functional impacts, manage risks, and strengthen controls. Collaborate with other work areas to support business activity and strategies. Create solutions based on sophisticated analytical thought, adopting extensive research to define problems and develop innovative solutions. Build and maintain trusting relationships and partnerships to accomplish key business objectives. Barclays Core Values & Mindset All colleagues are expected to demonstrate the Barclays values of Respect, Integrity, Service, Excellence, and Stewardship, and the Barclays mindset of Empower, Challenge, and Drive. Role Overview Join Barclays as a Developer Platform Lead to own and scale our internal platform used by hundreds of engineers across the organization to build, deploy, and operate production applications. Your team will deliver a developer portal site, platform runtime services in Python, CI/CD pipelines, cloud/Kubernetes runtimes, automated governance tooling, software templates, and integrations with enterprise services. This role combines strategy, architecture, and hands on platform engineering leadership. Qualifications To succeed in this role, you should have: Excellent verbal and written communication skills to build and maintain relationships with business colleagues. Full stack application development experience with Python. Proficiency in GitLab/GitHub and CI/CD pipelines. Experience with Kubernetes and containerization. Experience building an internal developer platform for enterprise use (highly valued). Experience with leading finance platforms such as GS SecDB, JPM Athena, BoA Quartz, and Beacon. Experience embedding compliance controls and secure architectures into developer workflows. Proficiency in web development with TypeScript/JavaScript (React preferred). Experience with AWS or another public cloud provider. You may be assessed on key critical skills essential for success in this role, including risk and controls, change and transformation, business acumen, strategic thinking, digital and technological expertise, along with job specific technical skills. Location & Work Arrangement This role is based in London, with two days in office per week.
