20 jobs found

Are you looking for a career move that will put you at the heart of a global financial institution? Then bring your skills in analysis, application development, problem solving and communication to the Source to Pay Solutions Technology group. By Joining Citi, you will become part of a global organisation whose mission is to serve as a trusted partner to our clients by responsibly providing financial services that enable growth. Team/Role Overview Source to Pay Solutions Technology group is part of COO (Citi Operating Office) Technology organization supporting Citi Operating Office business function and its enterprise wide transformation agenda to achieve improvements across risk management, controls, data governance, AI adoption, and process re engineering by delivering scalable, secure, and modern technology solutions. Based in Belfast, the team partners closely with businesses and technology stakeholders to build, manage, and modernize multiple Source to Pay applications, playing a key role in translating strategic transformation priorities into measurable operational outcomes. What you'll do Application Development Technology Lead is a senior level position responsible for Design, build, and enhance Java based backend services and Python enabled components for enterprise scale applications Own end to end delivery of features from design through production rollout Collaborate with global technology and business teams to deliver against regulatory and transformation priorities Apply agile engineering practices (iterative delivery, continuous improvement, pragmatic design decisions) Integrate GenAI capabilities (LLMs, APIs, workflow automation) into real world applications where they add value Mentor developers through code reviews, technical guidance, and hands on collaboration Ensure applications meet Citi standards for security, stability, and control What we'll need from you Strong hands on experience with Java (Spring Boot / Core); working knowledge of Python or strong willingness to ramp up quickly Full stack mindset with exposure to modern frontend frameworks (React, Angular, or similar) Experience delivering in Agile / Scrum environments with a bias toward action and ownership Practical exposure to cloud native architecture and scalable systems Awareness or hands on experience integrating GenAI / LLM based capabilities into applications, with a focus on integration and usage rather than deep ML research Strong communication skills and ability to work independently with minimal supervision What we can offer you This is a role that'll offer you the opportunity to build an in depth knowledge of financial services and business services operations across the bank. Every day there will be new business challenges that will help you develop new skills that can drive your career. We work hard to have a positive financial and social impact on the communities we serve. In turn, we put our employees first and provide the best in class benefits they need to be well, live well and save well. By joining Citi Belfast, 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: Generous holiday allowance starting at 27 days plus bank holidays; increasing with tenure A discretional annual performance related bonus Private medical insurance packages to suit your personal circumstances Employee Assistance Program Pension Plan Paid Parental Leave Special discounts for employees, family, and friends Access to an array of learning and development resources 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. Sounds like Citi has everything you need? Then apply to discover the true extent of your capabilities. Job Family Group Technology Job Family Applications Development Time Type Full time Most Relevant Skills: Please see the requirements listed above. Other Relevant Skills: For complementary skills, please see above and/or contact the recruiter. 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.

Citi Markets Technology is seeking a Senior GenAI Software Engineer (Vice President) to design and build production grade GenAI systems for Markets. You will write robust Python services, implement LLM orchestration and agentic patterns, and contribute to architecture and technical direction. As a VP, you'll work on greenfield initiatives, collaborate with product partners, and drive quality and ownership across the stack in a fast-moving environment.

We're seeking someone to join our Threat Hunt Cyber Detection Platform team as a Senior Platform Engineer in Cyber Data Risk & Resilience division. Threat Hunt's mission is to seek out attacks against the Morgan Stanley network, to engineer detection strategies, and to reduce risk to Morgan Stanley assets. In the Technology division, we leverage innovation to build the connections and capabilities that power our Firm, enabling our clients and colleagues to redefine markets and shape the future of our communities. This is a Senior Platform Engineer position at Vice President level, which is part of the job family responsible for providing specialist cyber expertise and creating solutions that protect the organization's systems and networks against actual and potential security threats and vulnerabilities. Since 1935, Morgan Stanley is known as a global leader in financial services, always evolving and innovating to better serve our clients and our communities in more than 40 countries around the world. What you'll do in the role: Serving as a DevSecOps point of contact for internal and external clients Alerting and On-Call, monitor alerts on critical services and follow runbooks for troubleshooting and escalation to SMEs Onboarding internal and external users to the Cyber Data Platform Working with internal SMEs on both integrating new applications into MFA and troubleshooting core services Closely collaborating with other MS teams via ServiceNow and other channels to install hardware, request maintenance, troubleshoot network connectivity Advising on and implement strategic solutions within the threat hunt technology stack Troubleshooting issues on the hardware level, local network configuration, switch level, firewall or beyond What you'll bring to the role: At least 6 years' platform engineering experience would generally be expected to find the skills required for this role Bachelor or higher degree in a STEM field Strong quantitative and problem-solving skills Experience of software development experience using Python, K8s, Elastic, NiFi and Kibana Confirmed ability to automate repetitive tasks and processes using scripting languages (Python, Bash) and automation tools Good understanding of DevOps principles and a passion for building and maintaining automated CI/CD pipelines Ability to design and implement monitoring and alerting systems to identify and resolve issues Proficient in using Git for version control, branching strategies and code reviews Deep understanding of server hardware, Linux operating system (Red hat/CentOS preferred) and enterprise networking Experience troubleshooting issues on the hardware level, local network configuration, switch level, firewall or beyond Strong communicator who can participate in a team-oriented, fast-paced Agile environment and desires to continuous learning Ability to work in a team as individual contributor Experience with container technologies (Docker and Kubernetes) and orchestration tools Ability to work with a broad variety of technologies like Ansible, infrastructure as code solutions, OS configuration & deployment tooling Experience with patching and updating infrastructure from system BIOS, firmware, drivers, kernels to operating system, applications, databases etc, An understanding of cyber analytic technics is desirable Certified Persons Regulatory Requirements: If this role is deemed a Certified role and may require the role holder to hold mandatory regulatory qualifications or the minimum qualifications to meet internal company benchmarks. Flexible work statement: Interested in flexible working opportunities? Morgan Stanley empowers employees to have greater freedom of choice through flexible working arrangements. Speak to our recruitment team to find out more. Morgan Stanley is an equal opportunity employer committed to building and maintaining a workforce that is diverse in experience and background. Our recruiting efforts reflect our strong commitment to a culture of inclusion, where individuals are hired, developed, and advanced based on their skills and talents. For more information, please visit:

The Production Engineer is a pivotal role within Citi's Technology organisation, responsible for designing, building, and operating the intelligent systems that underpin our global production environment. This is an engineering-first position at the intersection of software craftsmanship, AI-native development, and large-scale distributed systems. As part of a multi-year transformation journey, the successful candidate will help define what production engineering looks like in an era of autonomous agentsa, generative AI, and self-ahealing infrastructure. You will be expected to write production-grade code daily, design agentic workflows, and contribute meaningfully to the evolution of our AI engineering practices across Citi's India technology hub. The role requires a comprehensive understanding of multiple areas within a function and how they interact to achieve the objectives of the function. Applies in-depth understanding of the business impact of technical contributions. Accountable for delivery of a full range of end-to-end projects. Excellent communication skills required to negotiate internally. Involved in short- to medium-term planning of actions and resources for own area. Responsibilities Designs, develops, and maintains production-grade software systems with a strong emphasis on reliability, scalability, and operational excellence across Citi's global technology estate. Architects and implements agentic AI workflows - building autonomous systems that can reason, plan, and act across production environments with minimal human intervention. Applies advanced prompt engineering techniques to integrate large language models (LLMs) into operational tooling, incident response pipelines, and developer productivity platforms. Leads the development of AI-native observability solutions - leveraging intelligent agents to detect anomalies, predict failures, and automate remediation before issues impact end users. Writes clean, well-tested, and well-documented code across the full stack; champions engineering best practices including code review, pair programming, and test-driven development. Drives Continuous Delivery and Automation efforts across supported applications by means of Root Cause Analysis reviews, knowledge management, performance tuning, and user training. Operates and evolves CI/CD pipelines, Infrastructure-as-Code tooling, and GitOps workflows to support rapid, safe delivery of software at scale. Collaborates with platform, data, and product engineering teams to embed AI capabilities into the production lifecycle - from deployment to decommission. Implements the Agile Framework through one of its implementations (SCRUM or Kanban) and ensures it integrates with overall organisation processes. Operates within a highly regulated financial environment, maintaining in-depth understanding of compliance requirements and their implications for system design and data handling. Coaches and mentors team members on AI engineering practices, prompt design patterns, and agentic system architecture - fostering a culture of continuous learning and technical excellence. Avidly communicates progress and project status across the organisation and ensures that stakeholders are managed appropriately throughout the execution period. Fosters a culture that promotes transparency and innovation for increased team productivity. Qualifications Demonstrable experience in a critical software engineering or production engineering role with high business impact and a strong programming foundation (Java, Python, Go, or equivalent). Hands on experience with AI/ML engineering - including working with LLM APIs (OpenAI, Anthropic, Gemini, or open source equivalents), embedding models, and vector databases. Proven expertise in prompt engineering: designing, iterating, and evaluating prompts for production use cases including classification, summarisation, code generation, and autonomous decision making. Experience designing and deploying agentic systems using frameworks such as LangChain, LangGraph, AutoGen, CrewAI, or equivalent - including multi agent orchestration and tool use patterns. Excellent engineering skills and strong understanding of Software Development Lifecycle, GitOps, and modern DevSecOps practices. Excellent working knowledge of key computer science concepts (networking, operating systems, virtualisation, containerisation, etc.). Polyglot full stack developer mentality and ability to pick up new languages and skills. Excellent debugging and analytical skills: ability to isolate root cause across networking/infrastructure, application, and database stacks. Operational experience deploying and running services at scale on top of Docker/Kubernetes stack and a service mesh (Istio or equivalent) is highly desirable. Operational experience with orchestration tools for CI/CD and Infrastructure-as-Code tooling (Terraform, CloudFormation, Pulumi, etc.) is highly desirable. Experience of delivering software using Agile delivery methodologies is a must (SCRUM/Kanban). Operational experience of using middleware technologies (MQ, Apache Kafka, etc.) to run services at scale is desirable. Strong experience with end-to-end observability stacks (Datadog, AppDynamics, Dynatrace, etc.) is desirable. Degree in Computer Science, Mathematics, Physics, or a related technical subject is desirable. Experience of senior stakeholder management. Consistently demonstrates clear and concise written and verbal communication skills. Ability to operate in a global environment with on /near /off shore matrix reporting structures. Qualities that Matter Learnability - Rapidly acquires new skills, frameworks, and paradigms. In a field evolving as fast as AI engineering, the ability to learn is the most durable skill of all. Teachability - Receives feedback with openness and intellectual humility. Actively seeks mentorship and applies guidance to accelerate growth. Flexibility & Adaptability - Thrives in ambiguity. Pivots gracefully when requirements shift, technology evolves, or priorities change - without losing momentum or quality. Engineering Mindset - Approaches every problem systematically: decomposing complexity, forming hypotheses, and validating solutions with rigour and precision. Product Minded Thinking - Understands that code serves users and business outcomes. Balances technical elegance with pragmatic delivery and user impact. Collaborative Spirit - Builds trust across disciplines - engineering, product, operations, and leadership. Elevates the team's collective output through generosity and clear communication. Intellectual Curiosity - Asks "why" before "how". Explores the edges of what's possible with AI and production systems, driven by genuine fascination rather than obligation. Ownership & Accountability - Takes end to end responsibility for what they build. Does not hand off problems - follows through from design to deployment to post incident review. 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 LeaveSpecial 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.

hackajob is collaborating with BNY to connect them with exceptional professionals for this role. We're seeking a future team member for the role of Java Full Stack Engineer with AI-driven development exposure to join our Conventional Trust Platform team. This role is located in London. Responsibilities Define and execute the enterprise Java full stack technology strategy, aligned with business transformation goals. Champion AI driven development practices (e.g., AI-assisted coding, automated testing, remediation, and code quality). Drive modernization initiatives including cloud migration, microservices, event-driven architectures, and API-led platforms. Establish best practices for secure, scalable, and resilient application design. Oversee end-to-end delivery of complex platforms across backend (Java) and frontend technologies. Ensure high-quality engineering outcomes using CI/CD, automation, and DevSecOps practices. Lead large-scale programs focused on velocity, reliability, and cost efficiency. Drive backlog prioritization, technical debt reduction, and vulnerability remediation Qualifications Senior full stack engineer with Bachelor's degree in computer science or a related discipline, or equivalent work experience required; advanced degree preferred Strong hands-on experience with Python, ML frameworks, and LLM/GenAI tooling. Strong hands-on experience with AI Development tools like Claude CLI, Windsurf Solid understanding of the ML lifecycle; exposure to model risk or governance is a plus. Strong Java development skills, including experience with multi-threaded and mission critical applications Strong Exposure and knowledge of front end technologies such as React and Angular Ability to solve ambiguous problems with scalable, innovative solutions. Clear communicator who can influence cross-functional partners. Excellent collaboration and communication skills, able to engage effectively with engineers, architects, and executives.

Job Description Shape the future of employee experience by leading the strategic design and research initiatives, that blend business needs and user insights, empowering our 300,000+ employees to do their best work. As an Experience Design Vice President in Employee Experience, you will play a pivotal role in shaping the user experience across our products and services across key Client/Employee Collaboration and Communication journeys. You leverage your deep knowledge of design and research practices to lead strategically important initiatives and develop innovative solutions that align with business requirements and user needs. You work closely with the business and users, following best practice user-centered design to deliver innovative and creative solutions to complex problems. You collaborate with cross-functional teams, guide, and mentor junior designers, and foster a culture of inclusivity and accessibility. Your expertise in experience strategy and inclusive design will ensure that our offerings are not only visually appealing but also accessible and user-friendly, enhancing the overall customer experience. Your passion and curiosity for AI and emerging technology allows you to apply them successfully in your workflows. Job responsibilities Develop and execute design/research strategies for complex projects and ensure alignment with business objectives and user needs across multiple product areas. Design through wireframes, visuals, prototypes, and product features at different levels of fidelity, including diagram service flows and interactions for key touchpoints. You lead end-to-end design initiatives within a specific domain, multiple product experiences, delivering high-fidelity solutions with exceptional visual and interaction design craft. Drive and participate in upfront user research to better understand user needs and behaviors, and usability testing to see how your solutions work for users, with the support from our Experience Research team. Deliver work that is not only user-friendly, but which also produces results - measuring your work's value by identifying success criteria and performing user validation throughout the design process. Role model the adoption of inclusive design practices and accessibility guidelines, mentor junior designers and foster a culture of diversity and inclusion. Collaborate and partner closely with Product, Engineering and Business Stakeholders to shape solutions early - not just execute against defined requirements. You will play a key role in helping realize the vision and defining end to end product experience. Establish and elevate visual design quality through a strong point of view on hierarchy, typography, layout, and modern UI patterns. Bring clarity and consistency to complex or legacy experiences by introducing contemporary, consumer grade design patterns. Use prototyping, storytelling, and strong design rationale to communicate decisions and influence stakeholders, including senior leadership. Collaborate with cross functional teams to integrate user experience design into the product development processes and ensure seamless and customer centric solutions. Drive the adoption of inclusive design practices and accessibility guidelines, mentor junior designers and foster a culture of diversity and inclusion. Analyze market trends, gather feedback from user research, and learn from data insights to inform design decisions and optimize user experiences across various platforms and channels, including 3rd party products. Required qualifications, capabilities, and skills 5+ years of experience or equivalent expertise in user experience design or similar roles. Demonstrated ability to create visual representations of user journeys, such as storyboarding, wireframes, and prototypes. Demonstrated experience in inclusive design and accessibility guidelines, with the ability to incorporate diverse perspectives and abilities into design solutions. Proven ability to develop experiences that meet or exceed the initial proposal of a product or experience, to drive customer centric decision making. Experience developing design proposals and solutions that communicate the value of the initiative from a customer and business lens. Strong portfolio demonstrating shipped work and measurable impact on product outcomes (not just concepts). Portfolio includes high fidelity design work that reflects a sophisticated, modern aesthetic and a strong, opinionated point of view on visual and interaction design; work demonstrates the ability to elevate and modernize complex or legacy experiences, introducing contemporary patterns and raising the overall quality bar. Demonstrated ability to design end to end user journeys (not just individual screens). Ability to clearly articulate design decisions, trade offs, and constraints, including exploration of multiple design approaches. Proven ability to distill and elevate complex challenges to stakeholders, leaders, and peers alike. Preferred qualifications, capabilities, and skills Fluency / curiosity when it comes to working in AI enabled design. Experience of designing both in house products as well as embedding 3rd party products. Advanced technical literacy, including an advanced understanding of client side technologies, APIs, microservices, and the components of the technology stack, as well as their impact on user experience. 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.

Senior EngineerApplylocations: UK-Londontime type: Full timeposted on: Posted Todayjob requisition id: R004177Senior Engineer Shift Pattern: Standard 40 Hour Week (United Kingdom) Scheduled Weekly Hours: 40 Corporate Grade: D - Assistant Vice President Reporting Line: (UK Division) Information Technology Location: UK-London Worker Type: Permanent Purpose of Role : This role is a critical part of the new technology team supporting the SPM team, providing key engineering skills, deputising for the Head of SPM technology and working with the wider technology teams to integrate SPMs new and existing services effectively. The role will be working closely alongside the SPM business team and technology vendors to engineer solutions supporting their strategic roadmap.This is a high-impact role for a candidate who is passionate about engineering excellence, working directly with business teams to create solutions and enabling tangible value through technology. This role is a full-stack engineering role (covering frontend, backend, data, infrastructure) and collaborates on solution design, implementation, deployment, testing and support. Responsibilities: Design, build, and improve modern application services that support a strategic business platform, with a focus on quality, maintainability, and performance. Develop backend services and APIs that support the evolution of core business capabilities from established platforms into modern services. Contribute to modern internal and customer-facing user experiences, helping deliver intuitive, secure, and browser-based solutions. Partner with product teams, operations, and business stakeholders to translate requirements into robust engineering solutions. Apply strong engineering practices including automated testing, peer review, continuous integration and deployment, and high-quality technical documentation. Help ensure services are observable, supportable, and reliable in production through effective logging, monitoring, and operational diagnostics. Work closely with platform and vendor teams to align engineering delivery with enterprise standards and runtime patterns. Contribute to the continuous improvement of engineering practices, platform capability, and team effectiveness. Academic and Professional Qualifications Required: Bachelor's degree in Computer Science, Software Engineering, or a related discipline, or equivalent practical experience. Strong software engineering foundations with demonstrable experience delivering production-grade applications. Strong Java application engineering experience, ideally with modern enterprise Java frameworks. .NET engineering background is preferable, particularly where it supports application modernisation and interoperability. Experience in financial services or another regulated environment. Required Knowledge and Level of Experience: Significant hands-on experience in senior software or application engineering roles, with a strong track record of delivering production systems. Strong experience building backend applications and APIs, ideally in Java Practical experience across service-based architecture, API design, integration patterns, and modern web application delivery. Experience contributing to modernisation or platform evolution initiatives is strongly desirable. Strong engineering discipline across testing, CI/CD, version control, release practices, and production support. Good understanding of monitoring, observability, and building reliable services for business-critical environments. Stakeholder Engagement: Proven experience working with C-level stakeholders, translating complex business requirements into effective technology solutions, and influencing technology strategy. Skills set and Core Competencies Required for Role: Programming: Strong proficiency in Java, .Net and Python. DevOps: Skilled in building, deploying, and maintaining containerised applications using Docker and Kubernetes using infrastructure as code (e.g., Terraform, Helm). Linux: Deep understanding of Linux systems administration and scripting. Testing: Commitment to automated testing and quality assurance, with experience integrating these practices into CI/CD pipelines. Monitoring & Observability: Familiarity with monitoring, logging, and alerting tools (e.g., Prometheus, Grafana, Splunk) is advantageous. Analytical & Problem-Solving: Excellent analytical and problem-solving skills, with a focus on delivering measurable business impact and system reliability. Agile & Leadership: Ability to lead and work effectively in agile, cross-functional teams, and drive collaborative solution design and delivery. Communication: Strong communication skills, able to engage and translate between technical and non-technical stakeholders, and influence at all levels. The LME is committed to creating a diverse environment and is proud to be an equal opportunity employer. In recruiting for our teams, we welcome the unique contributions that you can bring in terms of education, ethnicity, race, sex, gender identity, expression and reassignment, nation of origin, age, languages spoken, colour, religion, disability, sexual orientation and beliefs. In doing so, we want every LME employee to feel our commitment to showing respect for all and encouraging open collaboration and communication.

Senior EngineerApplylocations: UK-Londontime type: Full timeposted on: Posted Todayjob requisition id: R004177Senior Engineer Shift Pattern: Standard 40 Hour Week (United Kingdom) Scheduled Weekly Hours: 40 Corporate Grade: D - Assistant Vice President Reporting Line: (UK Division) Information Technology Location: UK-London Worker Type: Permanent Purpose of Role : This role is a critical part of the new technology team supporting the SPM team, providing key engineering skills, deputising for the Head of SPM technology and working with the wider technology teams to integrate SPMs new and existing services effectively. The role will be working closely alongside the SPM business team and technology vendors to engineer solutions supporting their strategic roadmap.This is a high-impact role for a candidate who is passionate about engineering excellence, working directly with business teams to create solutions and enabling tangible value through technology. This role is a full-stack engineering role (covering frontend, backend, data, infrastructure) and collaborates on solution design, implementation, deployment, testing and support. Responsibilities: Design, build, and improve modern application services that support a strategic business platform, with a focus on quality, maintainability, and performance. Develop backend services and APIs that support the evolution of core business capabilities from established platforms into modern services. Contribute to modern internal and customer-facing user experiences, helping deliver intuitive, secure, and browser-based solutions. Partner with product teams, operations, and business stakeholders to translate requirements into robust engineering solutions. Apply strong engineering practices including automated testing, peer review, continuous integration and deployment, and high-quality technical documentation. Help ensure services are observable, supportable, and reliable in production through effective logging, monitoring, and operational diagnostics. Work closely with platform and vendor teams to align engineering delivery with enterprise standards and runtime patterns. Contribute to the continuous improvement of engineering practices, platform capability, and team effectiveness. Academic and Professional Qualifications Required: Bachelor's degree in Computer Science, Software Engineering, or a related discipline, or equivalent practical experience. Strong software engineering foundations with demonstrable experience delivering production-grade applications. Strong Java application engineering experience, ideally with modern enterprise Java frameworks. .NET engineering background is preferable, particularly where it supports application modernisation and interoperability. Experience in financial services or another regulated environment. Required Knowledge and Level of Experience: Significant hands-on experience in senior software or application engineering roles, with a strong track record of delivering production systems. Strong experience building backend applications and APIs, ideally in Java Practical experience across service-based architecture, API design, integration patterns, and modern web application delivery. Experience contributing to modernisation or platform evolution initiatives is strongly desirable. Strong engineering discipline across testing, CI/CD, version control, release practices, and production support. Good understanding of monitoring, observability, and building reliable services for business-critical environments. Stakeholder Engagement: Proven experience working with C-level stakeholders, translating complex business requirements into effective technology solutions, and influencing technology strategy. Skills set and Core Competencies Required for Role: Programming: Strong proficiency in Java, .Net and Python. DevOps: Skilled in building, deploying, and maintaining containerised applications using Docker and Kubernetes using infrastructure as code (e.g., Terraform, Helm). Linux: Deep understanding of Linux systems administration and scripting. Testing: Commitment to automated testing and quality assurance, with experience integrating these practices into CI/CD pipelines. Monitoring & Observability: Familiarity with monitoring, logging, and alerting tools (e.g., Prometheus, Grafana, Splunk) is advantageous. Analytical & Problem-Solving: Excellent analytical and problem-solving skills, with a focus on delivering measurable business impact and system reliability. Agile & Leadership: Ability to lead and work effectively in agile, cross-functional teams, and drive collaborative solution design and delivery. Communication: Strong communication skills, able to engage and translate between technical and non-technical stakeholders, and influence at all levels. The LME is committed to creating a diverse environment and is proud to be an equal opportunity employer. In recruiting for our teams, we welcome the unique contributions that you can bring in terms of education, ethnicity, race, sex, gender identity, expression and reassignment, nation of origin, age, languages spoken, colour, religion, disability, sexual orientation and beliefs. In doing so, we want every LME employee to feel our commitment to showing respect for all and encouraging open collaboration and communication.

Discover your future at the company Working at the company is far more than just a job. A career with us means joining a team of more than 230,000 dedicated people from around the globe. At the company, you'll have the opportunity to grow your career, give back to your community and make a real impact. Job Overview Engineer the future of global finance. At the company, 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 the company Tech. the company is looking for a highly skilled and innovative Full Stack Engineer with a strong background in modern enterprise architecture and a passion for Artificial Intelligence. This role will be instrumental in designing, developing, and implementing robust, scalable, and AI-enabled solutions across our platforms. The successful candidate will possess deep expertise in Java, Angular, microservices, and event-based architectures, combined with a proven ability to leverage agentic AI to create intelligent agents that solve complex business challenges. This is an exciting opportunity to contribute to the company's digital transformation by integrating advanced AI capabilities into our core engineering practices. Key Responsibilities Design, develop, and maintain high-performance, scalable, and secure full-stack applications using Java, Angular, microservices, and event-based architectures. Lead the integration of AI capabilities into existing and new applications, focusing on creating and deploying agentic AI solutions for various business use cases. Collaborate with data scientists, AI researchers, product managers, and other engineering teams to translate business requirements and AI models into production-ready software. Architect and implement microservices and event-driven systems that are resilient, fault-tolerant, and performant. Develop front-end user interfaces using Angular, ensuring an intuitive and responsive user experience. Contribute to the entire software development lifecycle, including requirements gathering, design, coding, testing, deployment, and operational support. Promote and implement best practices in software engineering, including code quality, testing, CI/CD, security, and documentation. Stay abreast of emerging technologies and trends in full-stack development, AI, and agentic systems, recommending and implementing innovative solutions. Mentor junior developers and actively participate in code reviews, fostering a culture of technical excellence and continuous learning. Qualifications Education Bachelor's or Master's degree in Computer Science, Software Engineering, or a related technical field. Experience Significant hands-on experience in full-stack software development. Proven experience in designing and building scalable, high-performance microservices. Demonstrated experience with event-driven architectures (e.g., Kafka, RabbitMQ). Solid experience with modern front-end frameworks, specifically Angular. Experience with AI technologies, including machine learning, natural language processing, or other AI domains. Specific experience with agentic AI development, including designing, building, and deploying intelligent agents for business applications. Technical Skills Languages: Expert proficiency in Java and TypeScript/JavaScript. Back-end: Strong expertise in Java development, including Spring Boot, Spring Cloud. Extensive experience with microservices architecture principles and patterns. Hands-on experience with message brokers and event streaming platforms (e.g., Apache Kafka, RabbitMQ). Proficiency with relational and NoSQL databases (e.g., PostgreSQL, MongoDB, Cassandra). Front-end: Expertise in Angular framework (versions 2+), including NgRx or other state management patterns. Strong understanding of HTML5, CSS3, and responsive web design. DevOps & Cloud: Experience with containerization technologies (Docker) and orchestration (Kubernetes). Proficiency with CI/CD pipelines (e.g., Jenkins, GitLab CI, Azure DevOps). Experience with cloud platforms (e.g., AWS, Azure, GCP) and their relevant services. AI/ML: Familiarity with AI/ML concepts and frameworks (e.g., Python, TensorFlow, PyTorch, LangChain, LlamaIndex). Direct experience in developing, integrating, and deploying agentic AI systems. Leadership & Soft Skills Excellent problem-solving, analytical, and critical thinking skills. Strong communication and interpersonal skills, with the ability to articulate technical concepts to both technical and non-technical audiences. Ability to work effectively in a fast-paced, agile, and collaborative team environment. Proactive, self-motivated, and results-oriented with a strong sense of ownership. Preferred Qualifications Experience in the financial services industry. Knowledge of domain-driven design and clean architecture principles. Experience with observability tools (e.g., Prometheus, Grafana, ELK stack). Contributions to open-source projects or active participation in developer communities. What we'll provide you By joining the company London, 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 Visit our Global Benefits page to learn more. Alongside these benefits the company 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. the company 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.

United States Digital Space LLC is looking for an experienced Senior Full Stack / Native Cloud Engineer at Vice President level to join their London Technology team. This strategic role focuses on designing scalable cloud-native solutions for the technology landscape, requiring both technical expertise and leadership skills. The ideal candidate should possess extensive experience in Java, Spring Boot, Python, and cloud-native systems. You will lead feature development and mentor junior engineers while contributing to critical projects in a fast-paced environment.

Company the company, a global investment bank and securities firm, has served companies and their investors for over 60 years. Headquartered in New York City, with offices in more than 25 cities around the world, the company provides clients with capital markets and financial advisory services, institutional brokerage, securities research and asset management. The firm is a leading provider of trade execution in equity, high yield, convertible and international securities for institutional investors and high net worth individuals. Role Overview the company is seeking a highly experienced Senior Full Stack / Native Cloud Engineer at Vice President level to join our London Technology team. This is a strategic, hands on engineering leadership role focused on designing and delivering scalable, cloud native, event driven platforms that enable data driven and intelligent solutions across the company' client facing business units. The role will form part of the Madison CRM & Analytics programme and will require a strong combination of deep technical expertise, end to end delivery ownership, and engineering leadership. The successful candidate will work closely with business stakeholders, product managers, and globally distributed technology teams to build resilient, high performance platforms and user facing solutions that support critical front office workflows. This role is well suited to an engineer who is comfortable operating across the full technology stack, from backend services and distributed data architecture through to responsive user interfaces, production support, and engineering best practice. Key Responsibilities Lead the design, development, and delivery of backend services and platform components using Java 8+ / Spring Boot and Python / FastAPI. Build, enhance, and operate event driven, real time data pipelines using Kafka and related streaming technologies. Provide deep technical expertise in distributed systems, data architecture, and scalable platform design. Design, implement, and maintain Java based APIs and microservices, including REST, OpenAPI, GraphQL, and gRPC services. Work with modern data technologies including PostgreSQL, MongoDB, and Amazon Redshift. Deliver reliable, performant, and responsive user interfaces aligned to UX designs, using Angular or React. Own solutions end to end, from technical design and architecture through to production deployment, monitoring, support, and continuous improvement. Champion engineering best practices across code quality, testing, CI/CD, observability, maintainability, and operational resilience. Mentor and guide junior and mid level engineers, setting high technical standards through code reviews, design reviews, and hands on technical leadership. Independently identify, analyse, scope, and propose solutions to complex technical challenges with minimal direction. Partner closely with business stakeholders, product managers, and cross functional technology teams to translate requirements into robust technical solutions. Optimise systems for performance, scalability, resiliency, reliability, and low latency operation. Participate actively in Agile ceremonies, contributing to sprint planning, estimation, execution, retrospectives, and continuous delivery improvements. Collaborate with globally distributed engineering teams to ensure consistency of architecture, delivery standards, and platform evolution. Support production systems, ensuring timely issue resolution, effective root cause analysis, and ongoing service improvement. Required Skills and Experience Strong professional experience in full stack software engineering, ideally within financial services, capital markets, or another complex enterprise technology environment. Advanced backend engineering experience with Java 8+, Spring Boot, and microservices based architectures. Strong Python development experience, preferably with FastAPI or similar modern API frameworks. Proven experience designing and building cloud native, distributed, scalable, and resilient systems. Hands on experience with Kafka or similar event streaming technologies. Strong understanding of API design and service integration patterns, including REST, OpenAPI, GraphQL, and gRPC. Practical experience with relational and NoSQL data platforms, including PostgreSQL, MongoDB, and Redshift. Frontend development experience using Angular or React, with a focus on reliable, maintainable, and responsive UI delivery. Strong understanding of software engineering best practices, including automated testing, clean code, code reviews, CI/CD, observability, and secure development practices. Experience deploying and operating production grade systems in cloud or hybrid cloud environments. Demonstrated ability to lead technical delivery, mentor engineers, and influence architecture decisions. Strong analytical and problem solving skills, with the ability to operate independently in a complex delivery environment. Excellent communication skills, with the ability to engage effectively with technical teams, business stakeholders, and product partners. Preferred Skills Experience working on CRM, client intelligence, sales enablement, or front office data platforms. Experience in investment banking, equities, fixed income, wealth management, or broader financial services technology. Familiarity with AWS or other public cloud platforms. Experience with containerisation and orchestration technologies such as Docker and Kubernetes. Knowledge of observability tooling, monitoring frameworks, distributed tracing, and production support best practices. Experience working in globally distributed Agile engineering teams. Understanding of data governance, data lineage, entitlements, and regulatory considerations in financial services environments. Candidate Profile The ideal candidate will be a hands on engineering leader who combines strong technical depth with pragmatic delivery judgement. They will be comfortable moving between architecture, coding, code reviews, stakeholder engagement, and production support. They should demonstrate ownership, intellectual curiosity, strong communication skills, and a commitment to delivering high quality technology solutions in a fast paced environment. They will be expected to set technical direction, raise engineering standards, and help build scalable platforms that support the company' client facing businesses.