63 jobs found

Job Overview To manage the efficient delivery of large scale technical projects and capabilities across the bank and collaborate with internal and external stakeholders to understand their needs and expectations throughout the software product lifecycle, adhering to agreed time, budget and quality requirements. Accountabilities Management of the delivery, resource allocation and improvement of complex technical project capabilities across the bank using Agile/Scrum methodologies for planning, stand ups, demos, retrospectives and the execution of sprints. Collaboration with customers and business teams to manage and implement customer trails to support the proposal of technically feasible solutions, and effort and timeline expectations. Collaboration with software engineers, quality teams, product managers and other engineering teams to deliver high quality products and features through the software project lifecycle aligned to the banks objectives, regulation and security policies. Identification, assessment, and mitigation of risks associated with technical projects to prepare the bank for potential challenges. Management of change requests and communication with stakeholders throughout the project lifecycle. Management of vendor relations involved in technical projects to ensure they deliver according to agreed terms. Stay abreast of the latest industry technology trends and technologies, to evaluate and adopt new approaches to improving deliver outcomes and to foster a culture of continuous learning, technical excellence and growth. Vice President Expectations To contribute or set strategy, drive requirements and make recommendations for change. Plan resources, budgets, and policies; manage and maintain policies/processes; deliver continuous improvements and elevate breaches of policies/procedures. If managing a team, they define jobs and responsibilities, planning for the department's future needs and operations, counseling employees on performance and contributing to employee pay decisions/changes. They may also lead a number of specialists to influence the operations of a department, in alignment with strategic as well as tactical priorities, while balancing short and long term goals and ensuring that budgets and schedules meet corporate requirements. If the position has leadership responsibilities, People Leaders are expected to demonstrate a clear set of leadership behaviours to create an environment for colleagues to thrive and deliver to a consistently excellent standard. The four LEAD behaviours are: L - Listen and be authentic, E - Energise and inspire, A - Align across the enterprise, D - Develop others. Or for an individual contributor, they will be a subject matter expert within own discipline and will guide technical direction. They will lead collaborative, multi year assignments and guide team members through structured assignments, identify the need for the inclusion of other areas of specialisation to complete assignments. They will train, guide and coach less experienced specialists and provide information affecting long term profits, organisational risks and strategic decisions. Advise key stakeholders, including functional leadership teams and senior management on functional and cross functional areas of impact and alignment. Manage and mitigate risks through assessment, in support of the control and governance agenda. Demonstrate leadership and accountability for managing risk and strengthening controls in relation to the work your team does. Demonstrate comprehensive understanding of the organisation functions to contribute to achieving the goals of the business. Collaborate with other areas of work, for business aligned support areas to keep up to speed with business activity and the business strategies. Create solutions based on sophisticated analytical thought comparing and selecting complex alternatives. In depth analysis with interpretative thinking will be required to define problems and develop innovative solutions. Adopt and include the outcomes of extensive research in problem solving processes. Seek out, build and maintain trusting relationships and partnerships with internal and external stakeholders in order to accomplish key business objectives, using influencing and negotiating skills to achieve outcomes. Key Responsibilities You will act as a Technology Lead for ServiceNow within the HR Technology landscape, partnering with HR stakeholders, programme leads, and technologists to drive HR transformation end to end. You will shape requirements into clear design artefacts and provide design assurance for solutions built on the ServiceNow HR Service Delivery platform by partners. Supporting execution of HR programmes, you will apply leading platform practices guiding delivery teams, managing technical risks, and ensuring alignment with enterprise standards. You will support AI enabled initiatives on the platform, including analytics and emerging AI capabilities, with a focus on scalability, security, and colleague experience. You will also support governance, integration, and risk management across the wider HR technology ecosystem, including Workday and the Microsoft ecosystem. You will participate in security, data, and control forums, overseeing integrations and interfaces to ensure compliance, performance, and risk requirements are met and escalated appropriately. Qualifications You will be ServiceNow certified, with implementation experience across multiple ServiceNow disciplines (including HR Service Delivery), and act as a trusted technical partner who translates HR strategy into well governed, high impact outcomes. To be successful as a ServiceNow Technology Lead - 12 Month Full Time Contract, you should have experience with: ServiceNow platform and HR Service Delivery development including Employee Relations and integrations at enterprise scale; Implementing Platform Analytics supporting management information use cases; Supporting infrastructure such as Workday, Entra, Microsoft Graph, Microsoft365 (Teams, Copilot) at a working knowledge level. Some other highly valued skills may include: Experience implementing NowAssist for Generative and Agentic AI use cases; Experience working with zero copy data architectures; Experience designing and implementing end to end use cases with Workday. You may be assessed on the key critical skills relevant for success in the role, such as risk and controls, change and transformation, business acumen, strategic thinking and digital and technology, as well as job specific technical skills. This role will be based in either our Glasgow or Northampton office.

Lead Software Engineer for AI - Vice President at JPMorgan Chase As a Lead Software Engineer for AI - Vice President at JPMorgan Chase in Risk Technology, you will lead a specialized technical area, driving impact across teams, technologies, and projects. You will leverage your expertise in software engineering, multi agent system design, data science, and NLQ to deliver complex, high impact initiatives. You will mentor and guide a team of engineers, foster best practices in AI engineering, and partner with data science, product, and business teams to deliver end to end solutions that drive value for the Risk business. Job Responsibilities Lead the deployment and scaling of advanced generative AI and agentic AI solutions for the Risk business, with a focus on natural language querying of structured and unstructured data sources. Design and execute enterprise wide, reusable AI frameworks and core infrastructure to accelerate AI solution development, including NLQ capabilities for diverse data types. Develop multi agent systems for orchestration, agent to agent communication, memory, telemetry, guardrails, and NLQ driven data retrieval and processing. Guide research on context and prompt engineering techniques to improve prompt based model performance and NLQ accuracy, utilizing libraries such as LangGraph. Develop and maintain tools and frameworks for prompt based agent evaluation, monitoring, and optimization at enterprise scale, with emphasis on NLQ workflows and orchestration. Build and maintain data pipelines and processing workflows for scalable, efficient consumption and querying of structured and unstructured data via natural language interfaces. Write secure, high quality production code and conduct code reviews. Partner with Data Science, Product, and Business teams to identify requirements and develop NLQ enabled solutions. Communicate technical concepts and results to both technical and non technical stakeholders, including senior leadership. Provide technical leadership, mentorship, and guidance to junior engineers, promoting a culture of excellence and continuous learning. Required Qualifications, Capabilities, And Skills Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or a related field. Experience in data science and natural language querying, including experience deploying end to end pipelines on AWS. Strong proficiency in Python. Hands on experience in system design, application development, testing, and operational stability. Experience using LangGraph for multi agent orchestration and NLQ integration. Experience with AWS and infrastructure as code tools such as Terraform. Preferred Qualifications, Capabilities, And Skills Strategic thinker with the ability to drive technical vision for business impact. Experience with agentic telemetry, evaluation services, and orchestration of NLQ workflows. Demonstrated leadership working with engineers, data scientists, and AI practitioners. Familiarity with MLOps practices and AI pipelines. Hands on experience building and maintaining user interfaces for NLQ and data exploration. EEO Statement 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.

LNW Gaming UK Limited is searching for a Senior Vice President of Software Engineering to lead the engineering vision for the Infinity platform. This role involves inspiring a global team of over 200 engineers and establishing a scalable technical strategy. The ideal candidate should have over 15 years of software engineering experience and a proven history of leading large teams in regulated environments. Competitive benefits and opportunities for professional development are included.

The University of Alabama at Birmingham (UAB) seeks a NETWORK ARCHITECT-ENT to manage high-level network planning, design, and optimization. To develop strategies and direction for network systems solutions using current and emerging technologies. To translate business requirements into network and/or process designs. To plan and recommend network hardware, systems management software and architecture. To approve and modify network design and architecture to ensure compliance. To configure and maintain routers, switches, and hubs for the network systems (including wireless and VOIP). To evaluate and recommend new products and maintain knowledge of emerging technologies for application to the enterprise. To monitor network performance, ensure capacity planning is performed, and is proactive in assessing and making recommendations for improvement. To perform troubleshooting procedures and design resolution scripts. This position will commit to fostering an environment of heightened security following Information Technology Security Policies and participating in security training, such as Health Insurance Portability & Accountability Act (HIPAA) and Family Education Rights and Privacy Act (FERPA), on an annual basis. This position will design and support secure, segmented network architectures for environments that include regulated and controlled workloads, such as CMMC. The role contributes to the design and configuration of network security components, including firewalls and web application firewalls (WAFs), to help implement approved security designs while maintaining reliable operations. This position works closely with information security, research compliance engineering, and other teams in support of secure architecture. Responsibilities Designs secure, segmented network architectures supporting regulated and controlled workloads including enclave topologies, trust boundaries, routing domains, and isolation mechanisms to protect in scope systems. Designs, configures, and maintains enterprise firewalls in support of approved network architectures, implementing segmentation rules, controlled access paths, and traffic enforcement consistent with documented security requirements. Designs, deploys, and maintains Web Application Firewall (WAF) solutions to protect applications hosted within regulated or externally exposed environments, ensuring traffic inspection and rule enforcement align with approved architectures. Translates documented technical requirements into practical network, firewall, and WAF configurations, without responsibility for policy definition, control ownership, or audit determinations. Engineers and maintains controlled connectivity between regulated enclave networks and approved enterprise, research, or external systems, minimizing attack surface while supporting operational needs. Develops and maintains architecture documentation used to support operational clarity and compliance evidence collection, including network diagrams, firewall and WAF design artifacts, and data flow representations Perform other duties as assigned. Qualifications Associate's degree in Information Systems or a related field and ten (10) years of related experience required. Work experience may substitute for education requirement. Experience necessary for success: Five (5+) years of progressively responsible experience in enterprise network engineering or network architecture roles. Experience designing, integrating, or supporting cloud-based networking constructs (e.g., virtual networking, VNet/VPC design, hybrid connectivity). Demonstrated experience designing and supporting segmented or security sensitive network environments. Preferred Experience supporting environments subject to regulatory frameworks such as CMMC, NIST SP , or similar Experience designing or supporting isolated or enclave-based network architectures Experience in higher education, research computing, healthcare, or government adjacent environments Experience working within or supporting regulated cloud environments such as Microsoft Azure Government (GCC/GCC High) or AWS GovCloud (or equivalent) Preferred Technical Skills Familiarity with network monitoring, logging, and visibility tools used in regulated environments Experience with secure remote access, VPNs, or controlled inter network connectivity Exposure to hybrid networking models integrating on-premises infrastructure with cloud environments (e.g., Azure VNets, AWS VPCs, private connectivity) Familiarity with cloud-native networking controls, segmentation, and security constructs in regulated environments UAB is an Equal Employment/Equal Educational Opportunity Institution dedicated to providing equal opportunities and equal access to all individuals regardless of race, color, religion, ethnic or national origin, sex (including pregnancy), genetic information, age, disability, and veteran's status. As required by Title IX, UAB prohibits sex discrimination in any education program or activity that it operates. Individuals may report concerns or questions to UAB's Assistant Vice President and Senior Title IX Coordinator. The Title IX notice of nondiscrimination is located at uab.edu/titleix .

Our client, a rapidly scaling fintech, is seeking an exceptional Vice President of Software Engineering to lead and evolve a large, high-performing engineering organisation. This role sits at the intersection of technical leadership, organisational scale, and AI driven innovation. You will take ownership of an engineering function of 100-120 Software Engineers, supported by 6 Software Engineering Managers, and play a central role in shaping both capability and culture during a critical growth phase. This is a true player coach position-requiring deep technical credibility alongside proven leadership at scale. Key Responsibilities Lead, develop, and scale a multi layered engineering organisation, ensuring strong leadership at every level. Own delivery against a complex product roadmap, driving measurable business outcomes. Define engineering strategy, architecture, and organisational design aligned to growth objectives. Maintain hands on technical engagement, contributing to high level design and decision making. Champion AI first engineering practices, building on an environment where 80-90% of code is AI generated, with a roadmap to 95%+. Embed modern engineering excellence (CI/CD, trunk based development, observability, and automated testing). Partner cross functionally across Product, DevOps, Security, and Platform teams. Build a high performance culture grounded in accountability, innovation, and continuous improvement. Leadership & Scale 8+ years in software engineering leadership roles, with at least 3+ years operating at VP level (or equivalent). Proven experience leading large scale engineering organisations (minimum 50+ engineers). Demonstrated success as a manager of managers, including developing senior engineering leaders. Track record of scaling teams and capabilities in high growth environments, ideally within startups or SME organisations. Technical Expertise Strong hands on engineering background with the ability to remain technically engaged. Deep technical fluency across modern architectures and polyglot environments (including .NET/C#, with exposure to other languages such as Java or Ruby). Experience defining architecture and engineering strategy at scale. Ability to challenge, guide, and influence technical decisions at all levels. AI & Modern Engineering Practices (Critical) Proven experience working in an AI enabled or AI first engineering environment. Hands on use of AI assisted or agentic development tools (e.g. Claude or similar). Clear understanding of how AI can accelerate delivery, improve quality, and reshape engineering workflows. Experience driving adoption of AI tooling across teams and embedding it into the development lifecycle. Delivery & Engineering Excellence Strong background in continuous delivery environments, where software is shipped to production frequently or daily. Expertise in modern practices including CI/CD pipelines, trunk based development, automated testing strategies, observability and system reliability. Proven ability to use engineering metrics to drive performance and continuous improvement. Organisational Design & Methodologies Experience designing and evolving engineering organisations using modern frameworks (e.g. Lean, Scrum, Kanban, XP). Strong understanding of team topologies (stream aligned, platform, enabling teams). Ability to align organisational structure to product and delivery needs. Leadership Mindset & Approach Excellent communication skills with the ability to influence executive stakeholders. Comfortable operating in ambiguous, fast moving environments. Strong problem solving mindset with a willingness to experiment and iterate. Values transparency, continuous learning, and candid feedback. Demonstrates curiosity, innovation, and the ability to identify novel solutions to complex challenges. Why This Role? Opportunity to lead a large, complex engineering function at scale. Significant influence over the evolution of AI driven software development practices. Join a high growth fintech at a pivotal stage of its journey. Work in an environment where engineering excellence and innovation are core to success. If you are a technically credible engineering leader with experience scaling teams, embedding AI into development, and delivering at pace, this is a rare opportunity to make a significant impact.

Team Overview XiP is building a next generation cross asset calculation system for Citi trading desks and enterprise users in the largest global financial markets and exchanges in New York, London, and other major financial hubs. Our team owns multiple Java Spring Boot Services that execute, partition, and track quantitative risk graphs/trades in a distributed environment. These graphs can fail due to their complexity and our system must adapt quickly to these failures to provide a seamless experience for clients. XiP Compute Services are deployed onto OpenShift and Amazon's Elastic Kubernetes Service (EKS). An important initiative in 2025 will be onboarding Google's Kubernetes Engine to further expand our coverage. Our system scales on demand, and we can run up to tens of thousands of replicas of our services across all asset classes. Role Overview We are seeking a Senior Engineer to fill the role of "Applications Development Technology Lead Analyst" on the XiNG large scale distributed calculation platform (XiP). In this role you will design, build, and maintain the calculation engine at the heart of the XiP platform. This engine is responsible for c. 0.5 billion risk & suitability calculations at Citi every day. A single customer run compresses 17 million minutes of compute into a single 90 minute execution. Run on hundreds of thousands of pods across the entire XiP platform every day, this calculation engine is both highly performant and rapidly changing to support new scenarios, technologies, and infrastructure. As an engineer working on the calculation engine, you will work closely with software engineers, DevOps, and our customers to ensure reliable, secure, and scalable operations of our platform. Responsibilities Take part of the shared responsibility for the long term strategic direction of the XiP Calculation Engine: Apply your experience and skills to develop the future versions of the calculation engine. This means making it faster, utilizing resources better, and scaling to even greater sizes. This means adding new features without impacting performance of the platform in an undesirable manner - small changes multiplied by millions of calculations have a high cost. This means solving hard problems like transferring small amounts of data to a huge number of machines. Serve as advisor or coach to team members, allocating and overseeing work: Mentor and guide mid level developers, providing technical advice, code reviews, and career development support. Allocate tasks based on skill sets and project priorities, ensuring balanced workloads and timely delivery. Foster a collaborative and growth oriented team environment, encouraging best practices and continuous learning. Implement changes and improvements to Citi's Risk Calculation Engine, including analyzing and designing improvements to the distribution mechanisms of the engine which regularly parallelises 250,000 hours of compute into a single 90 minute execution: Lead the design, development, and implementation of enhancements to the Risk Calculation Engine, focusing on optimizing its distribution mechanisms. Analyze current parallelisation strategies and identify opportunities to further improve efficiency, scalability, and throughput. Operationally support the optimisation of Risk calculations by examining and providing SME level insight into the distributed execution of extremely large calculations: Monitor and analyse the distributed execution of large scale risk calculations, identifying performance bottlenecks and inefficiencies. Provide subject matter expertise to guide operational improvements, leveraging deep technical knowledge to recommend and implement optimisations that enhance calculation speed and resource utilisation. Plan, coordinate, and execute strategic changes to the engine to reach the next scaling milestone: Develop and manage strategic initiatives aimed at scaling the Risk Calculation Engine to meet future business demands. Coordinate with stakeholders to ensure that all scaling efforts are aligned with customer needs. Provide specialised customer support to optimise and improve large, distributed calculations: Act as a primary point of contact for clients to address issues and optimise inefficiencies that arise during distributed workload execution. Qualifications Multiple years professional software development experience with Java. Solid experience with Java frameworks (e.g., Spring, Spring Boot, Quarkus). Experience designing, building, and maintaining large scale, distributed systems. Experience with RESTful API design and implementation. Strong understanding of object oriented programming and design patterns. Exposure to NoSQL databases (e.g., MongoDB, Cassandra) is a plus. Exposure to cloud platforms (e.g., AWS, Azure, GCP) and containerisation (e.g., Docker, Kubernetes) is desirable. Experience with unit testing, integration testing, and test automation frameworks (e.g., JUnit, Mockito). Experience working in Agile/Scrum development environments. Practical experience with Python for scripting, automation, or data processing tasks. Experience with CI/CD pipelines and DevOps practices is a plus. Education Bachelor's or Master's degree in Computer Science, Engineering, or a related field. Job Family Group: Technology Job Family: Applications Development Time Type: Full time Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, colour, 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.

We're looking for a hands-on AI engineer ready to take their career to new heights. Join the ranks of top talent at one of the world's most influential companies. As an Applied AI ML Lead - Vice President at JPMorgan Chase within the International Private Bank (IPB) Technology Artificial Intelligence and Machine Learning (AIML) Team, you provide deep engineering expertise and work across agile teams to enhance, build, and deliver trusted market leading AI products in a secure, stable, and scalable way. You will translate business problems into agentic AI and machine learning solutions, taking models from concept through to production grade services with measurable client and advisor impact. You will be responsible to the Head of AIML in IPB Tech for the end to end design, build, and production delivery of priority IPB AI/ML use cases, with particular focus on agentic AI applications, generative AI guardrails, and production ML supporting advisor and client journeys. Job responsibilities Owns end-to-end delivery of priority IPB AI/ML use cases, from problem framing and business case through to deployed, monitored production services with measurable advisor and client impact Leads the engineering build of agentic AI and LLM powered products serving IPB advisors and clients across the globe. Sets the engineering quality bar for the team's AI products through code reviews, technical design, and pairing with peers and junior engineers Establishes and operates Responsible AI controls in production (guardrails, evaluation frameworks, observability, and model risk controls) to firm wide standards Acts as a primary technical partner to IPB business stakeholders, surfacing new AI/ML opportunities and shaping them into funded workstreams Represents the AIML team in firm wide AI/ML governance and engineering forums; ensures cross-border, regulatory, and data privacy considerations are reflected in solution design Contributes to the team's GenAI education programme through training content, knowledge sharing sessions, and mentoring of junior engineers and interns Champions the firm's culture of diversity, Opportunity, inclusion, and respect Required qualifications, capabilities, and skills Formal training or certification in software engineering concepts and expert applied experience Advanced proficiency in Python and modern software engineering practices (testing, design patterns, code review, version control) Fluent with AI coding tools (e.g., Claude Code, GitHub Copilot) as a core part of day to day software development, with the judgement to know when to lean on them and when not to Hands on experience building, evaluating, and deploying machine learning models into production Practical experience with Large Language Models, including prompt engineering, RAG, fine tuning, agentic frameworks, skills. Demonstrated experience delivering system design, application development, testing, and operational stability for ML or data intensive systems Strong communication skills with confidence engaging senior business stakeholders and translating technical concepts for non technical audiences Experience applying new methods to determine solutions for complex technology problems across multiple technical disciplines MSc in Computer Science, Data Science, Engineering, or a related quantitative field Preferred qualifications, capabilities, and skills Postgraduate level qualification in data science, artificial intelligence, or machine learning Practical experience with CI/CD, containerization, and cloud native deployment patterns Experience within financial services technology, particularly wealth, private banking, or asset management Experience with Databricks, Kubernetes, or comparable ML / cloud platforms Experience designing or contributing to AI governance, model validation, or guardrail frameworks

As a Lead Software Engineer for AI - Vice President at JPMorgan Chase in Risk Technology, you will lead a specialized technical area, driving impact across teams, technologies, and projects. You will leverage your expertise in software engineering, multi-agent system design, data science, and NLQ to deliver complex, high-impact initiatives. You will mentor and guide a team of engineers, foster best practices in AI engineering, and partner with data science, product, and business teams to deliver end-to-end solutions that drive value for the Risk business. Job Responsibilities Lead the deployment and scaling of advanced generative AI and agentic AI solutions for the Risk business, with a focus on natural language querying of structured and unstructured data sources. Design and execute enterprise-wide, reusable AI frameworks and core infrastructure to accelerate AI solution development, including NLQ capabilities for diverse data types. Develop multi-agent systems for orchestration, agent-to-agent communication, memory, telemetry, guardrails, and NLQ-driven data retrieval and processing. Guide research on context and prompt engineering techniques to improve prompt-based model performance and NLQ accuracy, utilizing libraries such as LangGraph. Develop and maintain tools and frameworks for prompt-based agent evaluation, monitoring, and optimization at enterprise scale, with emphasis on NLQ workflows and orchestration. Build and maintain data pipelines and processing workflows for scalable, efficient consumption and querying of structured and unstructured data via natural language interfaces. Write secure, high-quality production code and conduct code reviews. Partner with Data Science, Product, and Business teams to identify requirements and develop NLQ-enabled solutions. Communicate technical concepts and results to both technical and non-technical stakeholders, including senior leadership. Provide technical leadership, mentorship, and guidance to junior engineers, promoting a culture of excellence and continuous learning. Required Qualifications, Capabilities, And Skills Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or a related field. Experience in data science and natural language querying, including experience deploying end-to-end pipelines on AWS. Strong proficiency in Python. Hands-on experience in system design, application development, testing, and operational stability. Experience using LangGraph for multi-agent orchestration and NLQ integration. Experience with AWS and infrastructure-as-code tools such as Terraform. Preferred Qualifications, Capabilities, And Skills Strategic thinker with the ability to drive technical vision for business impact. Experience with agentic telemetry, evaluation services, and orchestration of NLQ workflows. Demonstrated leadership working with engineers, data scientists, and AI practitioners. Familiarity with MLOps practices and AI pipelines. Hands-on experience building and maintaining user interfaces for NLQ and data exploration.

A leading global bank is seeking a Vice President Software Engineer in Birmingham. This backend engineering position focuses on developing micro-services using Java and Spring, primarily for the Private Wealth Management onboarding platform. The role requires extensive experience in software development with a strong emphasis on collaboration with teams across the organization. Candidates should have 7+ years in development and possess excellent analytical and communication skills. This is a unique opportunity to join a top-tier engineering team.

Team Overview XiP is building a next-generation cross-asset calculation system for Citi trading desks and enterprise users in the largest global financial markets and exchanges in New York, London, and other major financial hubs. Our team owns multiple Java Spring Boot Services that execute, partition, and track quantitative risk graphs/trades in a distributed environment. These graphs can fail due to their complexity and our system must adapt quickly to these failures to provide a seamless experience for clients. XiP Compute Services are deployed onto OpenShift and Amazon's Elastic Kubernetes Service (EKS). An important initiative in 2025 will be onboarding Google's Kubernetes Engine to further expand our coverage. Our system scales on-demand, and we can run up to tens of thousands of replicas of our services across all asset classes. Role Overview We are seeking a Senior Engineer to fill the role of 'Applications Development Technology Lead Analyst' on the XiNG large scale distributed calculation platform (XiP). In this role you will design, build, and maintain the calculation engine at the heart of the XiP platform. This engine is responsible for c. 0.5 billion risk & suitability calculations at Citi every day. A single customer run compresses 17 million minutes of compute into a single 90 minute execution. Run on hundreds of thousands of pods across the entire XiP platform every day this calculation engine is both highly performant and rapidly changing to support new scenarios, technologies, and infrastructure. As an engineer working on the calculation engine. You will work closely with software engineers, DevOps, and our customers to ensure reliable, secure, and scalable operations of our platform. Responsibilities Take part in the shared responsibility for the long term strategic direction of the XiP Calculation Engine: Apply your experience and skills to develop future versions of the engine, making it faster, utilizing resources better, and scaling to even greater sizes. Add new features without impacting performance of the platform in undesirable ways, taking care that small changes multiplied by millions of calculations have high cost. Solve hard problems such as transferring small amounts of data to a huge number of machines. Serve as advisor or coach to team members, allocating and overseeing work: Mentor and guide mid level developers, providing technical advice, code reviews, and career development support; allocate tasks based on skill sets and project priorities, ensuring balanced workloads and timely delivery; foster a collaborative and growth oriented team environment, encouraging best practices and continuous learning. Implement changes and improvements to Citi's Risk Calculation Engine, including analyzing and designing improvements to the distribution mechanisms of the engine which regularly parallelizes 250,000 hours of compute into a single 90 minute execution: Lead design, development, and implementation of enhancements, focusing on optimizing distribution mechanisms, analyze current parallelization strategies, and identify opportunities to further improve efficiency, scalability, and throughput. Operationally support the optimization of risk calculations by examining and providing SME level insight into the distributed execution of extremely large calculations: Monitor and analyze distributed execution of large scale risk calculations, identify performance bottlenecks and inefficiencies, and provide subject matter expertise to guide operational improvements, leveraging deep technical knowledge to recommend and implement optimizations that enhance calculation speed and resource utilization. Plan, coordinate, and execute strategic changes to the engine to reach the next scaling milestone: Develop and manage strategic initiatives aimed at scaling the Risk Calculation Engine to meet future business demands; coordinate with stakeholders to ensure that scaling efforts align with customer needs. Provide specialized customer support to optimize and improve large, distributed calculations: Act as a primary point of contact for clients to address issues and optimize inefficiencies that arise during distributed workload execution. Qualifications Multiple years professional software development experience with Java. Solid experience with Java frameworks (e.g., Spring, Spring Boot, Quarkus). Experience designing, building, and maintaining large scale, distributed systems. Experience with RESTful API design and implementation. Strong understanding of object oriented programming and design patterns. Exposure to NoSQL databases (e.g., MongoDB, Cassandra) is a plus. Exposure to cloud platforms (AWS, Azure, GCP) and containerization (Docker, Kubernetes) is desirable. Experience with unit testing, integration testing, and test automation frameworks (JUnit, Mockito). Experience working in Agile/Scrum development environments. Practical experience with Python for scripting, automation, or data processing tasks. Experience with CI/CD pipelines and DevOps practices is a plus. Education Bachelor's or Master's degree in Computer Science, Engineering, or a related field. Equal Opportunity Statement Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, 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.

For additional information, please review .The Data Architecture Lead Analyst is a senior level technical position responsible for establishing and implementing new or revised backend application systems designs, and programs in coordination with the Technology team. The overall objective of this role is to lead applications systems designs and programming activities. Responsibilities: Develop, design, test and implement complex database programs using Python, Stored Procedure and leveraging tools such as Oracle, Snowflake, and Starburst. Ability to handle complex large applications technically. Strong understanding and practical experience of software engineering principles, such as Continuous Integration & Test-Driven Development. Ability to coach and mentor the team members. Strong analytical and problem-solving abilities. Strong communication, and interpersonal skills; Solid data collection, analysis, and reporting skills; basic project / program management skills. Willingness to be hands-on to complete necessary tasks. Willingness to handle multiple applications. Ability to work with others in a virtual team. Work on the SQL performance improvement by identifying the old queries and applying or turning the queries. Willingness to be hands-on to complete necessary tasks. Willingness to handle multiple applications. Ability to work with others in a virtual team. Work on the SQL performance improvement by identifying the old queries and applying or turning the queries. Qualifications: Proven experience in Data Architecture and building solutions Experience in Data modelling, PL/SQL performance tuning. Experience in managing and implementing successful projects. Working knowledge of consulting/project management techniques/methods Ability to work under pressure and manage deadlines or unexpected changes in expectations or requirements. Citi E3, E4 or Equivalent certification is preferred. Education: Bachelor's degree/University degree or equivalent experience Master's degree preferredThis job description provides a high-level review of the types of work performed. Other job-related duties may be assigned as required. Job Family Group: Technology Job Family: Architecture 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 . View Citi's and the poster.

At Citi, we are pioneering the future of enterprise operations through innovative technology. Our COO-Technology Engineering and Architecture capability is at the forefront, responsible for architecting best-in-class solutions, driving end-to-end transformation, and integrating cutting-edge Generative AI solutions to unlock unparalleled efficiency, automation, and risk reduction across our global operations. The Team: Innovating at Scale Our team is a dynamic hub of engineers and innovators dedicated to solving complex business challenges with intelligent solutions. We believe in building robust, scalable products that deliver tangible impact. We foster an environment of continuous learning, rapid iteration, and strong engineering practices. Here, you'll work alongside passionate experts, leverage the latest in AI, and contribute to a culture that values clean code, thoughtful design, and direct, hands on problem-solving. We're not just adopting AI; we're building the intelligence that powers our enterprise. The Role: We are seeking an exceptional Staff Generative AI Engineer to join our team. This is a critical, deeply hands on role for a seasoned software engineer with a profound passion for Generative AI, Large Language Models (LLMs), and agentic frameworks. You will be instrumental in designing, building, and deploying real world, commercial production systems, not just proofs-of-concept. This is an Individual Contributor (IC) role with no direct people management responsibilities. Your expertise in containers (especially OpenShift), strong Python programming, and advanced LLM/agentic frameworks will be essential as you drive significant operational efficiencies and set new standards for engineering excellence. If you're a builder who thrives on technical challenge, delivering measurable impact, and mentoring others while getting your hands dirty with code, we want to hear from you. As a Staff Generative AI Engineer, you will: Architect & Build Production Systems: lead the hands on development of sophisticated Generative AI applications, LLM powered solutions, and intricate agentic frameworks primarily using Python. Your code will be clean, performant, scalable, and deployed directly into commercial production environments, solving real business problems. Pioneer Automation with Agents: design and implement intelligent agents capable of understanding, reasoning, and orchestrating complex workflows to automate critical enterprise business processes, driving efficiency and reducing operational risk at scale. Master Containerized Deployments: demonstrate deep comfort and expertise with container technologies, particularly deploying and managing applications within OpenShift environments. Drive Technical Direction & Ownership: contribute significantly to the technical strategy and roadmap for Generative AI adoption, influencing architectural decisions and technology choices across our product portfolio, ensuring all solutions are production ready. Champion Engineering Excellence: instill and uphold rigorous software engineering best practices, including robust testing, code reviews, documentation, and continuous integration/delivery, ensuring the highest quality for our mission critical systems running in production. Innovate & Research: stay at the bleeding edge of Generative AI, actively exploring new models, techniques, and frameworks. Contribute to both applied engineering and research initiatives within the domain. You will have access to state of the art AI assisted development tools like Devin and Copilot to amplify your productivity and creativity. Mentor & Collaborate: act as a technical leader and mentor to junior engineers, fostering a culture of knowledge sharing and continuous improvement. Collaborate closely with cross functional teams, product managers, and stakeholders to deliver impactful solutions. Iterate & Deliver: thrive in an agile, fast paced environment, prioritizing rapid delivery, iterative development, and adaptability. Focus on delivering measurable business value and learning quickly from prototypes and deployments, always with a path to production in mind. Ensure Responsible AI: design and implement robust guardrails and ethical considerations into AI solutions, proactively assessing and mitigating risks in line with organizational and regulatory standards. Minimum Qualifications: Proven professional software engineering experience, demonstrating a strong track record of designing, building, and delivering scalable enterprise grade solutions in commercial production environments, not just proofs of concept. Expert level proficiency in Python is a must have, with a deep understanding of its ecosystem for AI/ML development, data engineering, and backend services. Full stack development experience is a distinct advantage. Extensive hands on experience with Generative AI concepts, Large Language Models (LLMs), transformer architectures, RAG, and advanced agentic frameworks (e.g., LangChain, LangGraph, Google ADK). Optionally AutoGen, CrewAI, LlamaIndex, Semantic Kernel. Deep comfort and practical experience with containers and orchestration technologies, specifically OpenShift. Demonstrated ability to architect, develop, and deploy highly performant, large scale AI/ML systems into production environments. Strong understanding of modern software development principles, clean code practices, data structures, algorithms, and distributed systems. Proficiency with Relational (preferably, PostgreSQL) and Vector (preferably, pgvector) databases. Preferred Qualifications (Bonus Points): Proficiency in additional programming languages such as Java, JavaScript/TypeScript, or Golang. Experience with specific frameworks like Spring (AI, Boot), N8N, or Flask. Familiarity with messaging and integration platforms such as Kafka or JMS/MQ. Experience with UI development using modern frameworks like React JS or Streamlit for interactive AI applications. Practical experience in model risk management, developing AI guardrails, and establishing end user adoption pathways for Generative AI solutions. A proven track record of contributing to open source projects or publishing relevant research in AI/ML. Why You'll Love Working Here: Unprecedented Impact & Visibility: contribute to critical, high visibility projects that are transforming a global enterprise, working on firm wide initiatives that directly influence our operational future. Cutting Edge Technology: work with the latest Generative AI models, agentic frameworks, and cloud native technologies, enhanced by access to AI assisted development tools like Devin and Copilot. Growth & Development: a culture of continuous learning, mentorship, and opportunities to lead and innovate. Benefit from extensive learning resources including Udemy for Business and Pluralsight. Collaborative Environment: join a highly skilled, passionate team that values collaboration, intellectual curiosity, and shared success. Flexible Work Environment: embrace a hybrid working model, balancing productive in office collaboration (3 days) with the flexibility of working from home (up to 2 days). Global Scale: build solutions that operate at a massive scale, impacting users and operations worldwide. Join us to build the future of intelligent enterprise solutions! 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.

Overview Teamwork makes the stream work. Roku is changing how the world watches TV. Roku is the TV streaming platform in the U.S., Canada, and Mexico, and we aim to power every television in the world. Roku connects consumers to content, publishers to audiences, and advertisers to engagement opportunities. From your first day at Roku, you'll make a valuable contribution. We are a fast-growing public company where no one is a bystander, and you can delight millions of TV streamers while gaining experience across disciplines. We are a fast-growing public company where no one is a bystander and you will have opportunities to contribute across multiple disciplines while delighting millions of TV streamers globally. About the Role You will be a SME and technical leader in engineering infrastructure, productivity and enterprise tooling, partnering with globally distributed Engineering, Product and Security teams and systems. What You'll Be Doing Roku is seeking a world-class engineer to own the strategy, architecture, and long-term execution of engineering infrastructure, enterprise tooling, and AI-assisted workflow automation. This architect/strategist role drives improvements in engineering productivity, delivery throughput, quality, security posture, and cost efficiency by building platforms, working practices and automation (including AI/LLM-enabled capabilities) that scale across geographies and time zones. Key Responsibilities AI-First Automation & Intelligent Tooling Define and lead an AI-first automation roadmap for Engineering Infrastructure and Enterprise Tooling (e.g., reducing waste, accelerating reviews, improving incident response, increasing release confidence). Architect and ship AI/LLM-enabled workflow automation across the SDLC (e.g. risk assessment, automated build, test and deployment, intelligent test selection, change-impact analysis, auto-triage of build/test failures). Establish policies and guardrails for AI usage in internal tools: data handling, prompt/response logging, model/provider selection, evaluation, fallback behaviors, and abuse prevention. Dev Productivity & Enterprise Tooling (Global Scale) Set technical direction and standards for globally used developer tools, including build systems, source code management, branching/release strategy, and self-service support tools. Architect and evolve CI/CD and build/test pipelines using Jenkins, Docker, and build systems (Bazel /Yocto preferred) to support multi-site engineering environments. Own and scale test and quality workflows leveraging test management systems (e.g., TestRail or equivalent), enabling consistent traceability, reporting, and release sign-off across distributed teams. Drive Jira workflow design and automation (templates, guardrails, integrations) to provide consistent cross-org visibility and execution. Workflow Automation (Cross-Functional, Cross-Geo) Design and implement automation spanning Engineering, Product, Marketing, and Partners (e.g., launch readiness, certification/release checklists, partner onboarding, incident/change workflows). Replace manual coordination with durable automation and integrations that work reliably across regions/time zones. Security, Cost, Performance, and Reliability (Distributed Systems) Embed secure-by-default controls into pipelines and tooling (access control, secrets handling, audit trails, policy enforcement), including for AI-enabled systems. Improve build/test performance and reliability (build times, test duration, flake reduction, pipeline stability) using measurable KPIs and operational rigor. Drive cost efficiencies across tooling/infrastructure (compute utilization, caching strategies, license rationalization including AI/runtime costs and ROI tracking). This is a highly visible role and you will report directly to a Vice President of Engineering. This requires a strong technical leader with experience in consumer electronics devices. The right person will collaborate well with engineering and partner teams. Own cross-team architectures and standards; drive adoption through influence, clear technical judgment, and sustained multi-quarter execution. Lead design reviews, mentor senior engineers, and unblock the hardest technical problems across distributed teams and systems. Provide long-term stewardship via roadmaps, operational maturity (runbooks/SLOs), and incident/postmortem practices suitable for 24/7 global operations. Establish yourself as the person others bring their hardest problems to. We're Excited If You Have Bachelor's in Computer Science or Computer Engineering, or equivalent experience Prior experience at Staff, Principal, or Architect level Ownership in platform/infrastructure, developer productivity, CI/CD, build systems, or workflow automation, including work spanning globally distributed teams and systems. Strong, hands-on knowledge of: Git (workflows, branching strategies, release management) Jenkins (CI/CD pipeline design, scaling, reliability) Docker containers (reproducible build/test execution) Build systems (Yocto preferred) Jira (workflow design/automation, cross-team visibility) Test management systems (e.g., TestRail or equivalent) Demonstrated experience delivering automation at scale, including building platforms/components used by multiple teams. Strong systems thinking across security, reliability, performance, and cost tradeoffs. Excellent written communication (architecture docs, decision records, operating procedures). Experience building AI-assisted developer tooling (e.g., CI insights, test intelligence, code review automation, release risk scoring, incident copilots). Experience implementing evaluation/monitoring for AI systems (quality metrics, drift, offline test sets, human feedback loops). Extensive experience with software development on embedded Linux, multi-process architectures and IPC mechanisms Experience working in large cross functional teams and ability to influence teams that don't report to you Ability to see the big picture while focused on short-term objectives and deliverables Ability to multi-task and drive parallel projects and distributed teams with tight deadlines Our Hybrid Work Approach Roku fosters an inclusive and collaborative environment where teams work in the office Monday through Thursday. Fridays are flexible for remote work except for employees whose roles are required to be in the office five days a week or employees who are in offices with a five day in office policy. Benefits Roku is committed to offering a diverse range of benefits as part of our compensation package to support our employees and their families. Our comprehensive benefits include global access to mental health and financial wellness support and resources. Local benefits include statutory and voluntary benefits which may include healthcare (medical, dental, and vision), life, accident, disability, commuter, and retirement options (401(k)/pension). Employees are supported in taking time off, in accordance with local leave policies and other personal needs to support their evolving work and life needs. It is important to note that not every benefit is available in all locations or for every role. For details specific to your location, please consult with your recruiter. Accommodations Roku welcomes applicants of all backgrounds and provides reasonable accommodations and adjustments in accordance with applicable law. If you require reasonable accommodation at any point in the hiring process, please direct your inquiries to . The Roku Culture Roku is a fast-paced, collaborative environment focused on the company's success. We value talented people who are easy to work with and who contribute to a culture of bold thinking and action. We believe a smaller group of highly capable people can achieve more than a larger, less cohesive team. We are independent thinkers who act boldly and move fast to accomplish extraordinary things through collaboration and trust. Roku is changing how the world watches TV. To learn more about Roku, visit our factsheet: By providing your information, you acknowledge you want Roku to contact you about job roles and have read Roku's Applicant Privacy Notice. 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