30 jobs found

Job Description Currencycloud was acquired by the company in December 2021. Senior Software Engineers are responsible for implementing an industry leading API that has processed over 50 billion USD of cross border transactions for more than 5 million end users, and remains available to clients 24/7. We are at the forefront of advancing the platform to meet even greater scale. You will join the FX Routing and Aggregation (FXRA) team, which owns the core FX trading platform powering Currency Cloud's foreign exchange capabilities. The team manages multiple microservices covering FX pricing, risk management, trade routing, market data integration, and treasury operations. Our stack runs on AWS as a set of distributed applications using Kubernetes, with microservice led architecture. We also use Kafka for streaming and PACT for contract testing. Responsibilities Build and maintain mission critical FX trading services including pricing engines, risk management systems, and market data providers. Work with real time FX market data from providers such as Barclays and JP Morgan using the FIX protocol. Design and implement high throughput, low latency services handling billions in FX transactions. Lead technical discussions around hexagonal architecture, event driven patterns, and distributed systems design. Mentor junior engineers and establish best practices for the team. Own your domain end to end with clear service boundaries and independent deployment paths. Collaborate with Treasury, Trading, and Platform teams across the organization. Benefits Clear ownership of your domain. A clean modern codebase. An independent path to production. Strong platform and product support. The ability to make real changes with real business value. Technical Stack & Requirements Object oriented programming in Java (version 11+), ideally using the Spring Boot framework. Highly scalable, highly available cloud native applications on AWS, written to 12 factor principles. Cloud related tools and services such as Docker, Kubernetes, ElasticSearch, log management systems, and Datadog APM. API specifications conforming to the OpenAPI (Swagger) standard. Large SQL databases (e.g., MySQL) for persistence; familiarity with SQL and complex queries. Infrastructure automation via Terraform and Docker, with knowledge of AWS. Testing approaches including TDD, BDD, and contract testing with frameworks such as JUnit, RSpec, and Cucumber. Able to work in an Agile environment following the Spotify-style Squads and Tribes model. Experience delivering production ready code with high quality and reliability. Qualifications 5+ years of software development experience. 2+ years of building microservices with Java. Proficient in additional programming languages, such as Ruby or Scala. Working knowledge of relational databases such as MySQL. Experience designing event based and streaming solutions using Kafka. Experience building applications that run in Kubernetes. Hands on experience delivering high quality production code with a focus on testability. Ability to manage and work with contractors and outsourced teams. Experience building software for the financial domain, especially in risk. Agile experience and familiarity with its principles. Strong SQL knowledge and ability to write complex queries. Hands on experience in a DevOps environment or a passion for working in this way. Proven delivery of well tested, scalable, fault tolerant, and performant solutions. Pragmatic approach to solutions and delivery of technical projects. Comfortable reviewing code of peers and driving change in a distributed environment. Work Environment This is a hybrid position. The company requires at least three days in office, with the exact schedule confirmed by your Hiring Manager. Equal Employment Opportunity Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability, or protected veteran status. The company will also consider qualified applicants with criminal histories in a manner consistent with EEOC guidelines and applicable local law.

Multiple locations Hybrid Are you an engineer who has shipped distributed backend systems at scale, knows what breaks in production, and fixes it before it does? Do you want your work to have a direct impact on the wellbeing of millions of people across Europe? If yes - read on. The company is one of Europe's fastest-growing companies (Financial Times, multiple years running). We're a leading provider of employee benefit solutions, operating across Finland, Germany, Italy, UK, France, the Nordics and beyond. We started in Helsinki in 2007, launched Europe's first mobile employee benefit payment in 2008, and haven't stopped building since. Your mission at the company You will join a cross-functional product team building and evolving a modern, distributed platform that powers the company's product vision across European markets. We are adding this role to strengthen our backend engineering capabilities and establish a solid, scalable foundation for Java Spring Boot services built for long-term growth - not just the next sprint. Your responsibilities will be: Design, build, and maintain high-quality Java Spring Boot microservices within our domain bounded context architecture. Implement event-driven patterns for cross-domain communication and eventual consistency - you understand why, not just how. Work with PostgreSQL as primary data store: schema design, multi-tenancy, data isolation, query optimization under real load. Implement RESTful APIs with proper versioning, rate limiting, and API gateway integration. Ensure high standards for code quality, testing (unit, integration, contract), performance, and security - >80% coverage is the floor, not the ceiling. Collaborate closely with Product, Frontend (React Native), DevOps, and backend teams across multiple European markets. Participate in architectural discussions and design reviews; contribute to platform-wide standards and decision records (ADRs). You'll be successful in this role if you: Deliver production-ready, scalable microservices that meet target architecture specs - and own them after go-live. Define clear domain boundaries that prevent cross-domain coupling while enabling integration through well-designed APIs and events. Maintain >80% test coverage and contribute ADRs that shape platform decisions - not just for your services, but for the team. Proactively identify and reduce technical debt before it becomes someone else's emergency. Communicate clearly, work effectively across teams and time zones, and make cross-functional collaborators want to pull you into early conversations. Operate with a 'you build it, you run it' mindset - and genuinely believe that's the right way to work. What you'll be doing (daily): 15-minute stand-up with your cross-functional domain team - align, unblock, move. Design and implement features in your domain using Java Spring Boot, with clean, testable code as the default. Write comprehensive unit and integration tests; participate in code reviews that raise the team's standard. Monitor service health, investigate data consistency issues, and resolve production problems with distributed tracing and structured logging. Collaborate with frontend engineers to clarify API contracts and coordinate releases. Participate in architectural discussions and design reviews for new or cross-cutting capabilities. Deploy to staging and production via CI/CD (GitHub Actions), using feature flags for controlled rollouts. What you should bring: Non-negotiable: 6+ years of professional software development, with 3+ years focused on Java backend - in production, at scale, with real failure modes you had to resolve. Deep expertise in Java 17+ and Spring Boot (Spring Data JPA, Spring Security, Spring Cloud). Microservices architecture: you've designed service boundaries, not just worked inside them. Domain-Driven Design: bounded contexts, aggregates, domain events, anti-corruption layers - you can apply this, not just describe it. PostgreSQL: schema design, indexing, query optimization, and transaction management under load. Event-driven architecture with Kafka, RabbitMQ, or AWS SNS/SQS - at scale, in production. RESTful API design: versioning, OpenAPI/Swagger documentation, rate limiting - contracts you'd stand behind in a design review. Testing discipline: JUnit, Mockito, integration and contract testing (Pact). Docker and Kubernetes: deployment strategies, service mesh - operational experience, not just familiarity. CI/CD pipelines: GitHub Actions, Jenkins, or GitLab CI. Observability: structured logging, distributed tracing (Jaeger/Zipkin), metrics (Prometheus/Grafana/Datadog). Active experimentation with AI/LLM tooling applied to real engineering problems - automated workflows, reduced manual ops, smarter exception handling. Not a side project: something in production that you can talk about with specific. Mentoring: you've made other engineers meaningfully better, not just shipped more code. Language profile: Fluent in English Track record: You've delivered and operated microservices in production - from design through deployment, on-call, and post-mortem. You've made measurable improvements to performance, reliability, or scalability (reduced latency by X%, improved uptime to Y, scaled from Z to ZZ req/s). You've collaborated effectively in cross-functional teams and left documentation behind that others actually used. You've contributed to technical decision-making: architecture reviews, design documents, or ADRs that had real consequences. You've led knowledge-sharing sessions or mentored engineers who are better for it. Competency profile: Systems Thinking: You understand how components interact in distributed systems. You design for failure scenarios, not just the happy path. Ownership & Accountability: You take end-to-end responsibility. When something is broken or missing, you raise it and fix it - you don't wait for the ticket. Pragmatic Problem-Solving: You balance ideal solutions with practical constraints. You know when to move the architecture forward and when to ship. Collaboration & Influence: You shape technical decisions through quality of argument, not seniority. You can disagree and commit - and you know when to do which. AI-Readiness: You think about AI strategically, not just tactically. You've embedded AI-driven automation into production systems, can evaluate where it adds real leverage versus where it creates noise, and actively help the team develop this fluency. Continuous Learning: You stay current, experiment, and adapt. You optimize for the codebase 2 years from now, not just the sprint. Quality Mindset: You build maintainable, secure, well-tested services. You document, you mentor, you leave things better than you found them. Why you should join us: Be part of an ambitious growth journey - join a global community of driven, bold, entrepreneurial, yet humble Epassians in a company that is constantly evolving. Work with a clear purpose - boosting everyday wellbeing - and create meaningful, positive impact on individuals and society. Thrive in an open, inclusive culture with low hierarchy, where relationships are built on respect, camaraderie, and shared success. Come as you are - we'll bring out the best in you and support your personal and professional growth. Join a fast-growing tech company with a strong financial foundation, offering real opportunities to make an impact. Work in an environment where employee wellbeing is a genuine priority, not a slide in a deck. Help shape the next wave of success as we consolidate our position as Europe's number one employee benefit platform. Benefits: Hybrid and flexible working style Modern working tools International environment Benefit package for wellbeing support Private health support

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.

Job Description Data Engineer Role: Data Engineer Location: Newcastle Upon Tyne Salary: TBC - Depending on experience Levels: Senior Analyst, Specialist Hybrid Working: 3 days per week in our Newcastle, Cobalt business park office Please Note: Any offer of employment is subject to satisfactory BPSS and SC security clearance which requires 5 years continuous UK address history (typically including no periods of 30 consecutive days or more spent outside of the UK) and declaration of being a British or EU passport holder or hold Indefinite Leave to remain within the UK at the point of application. Note: The above information relates to a specific client requirement About the Team Our Advanced Technology Centre is a hub of innovation where we deliver high quality data and technology services to clients across both the public and private sectors. You'll join a collaborative culture that values diverse thinking, continuous learning, and opportunities for career growth within a global network of experts. If you're looking for a dynamic role that offers hands on experience with modern data technologies and the chance to shape large scale data solutions, this position offers you the opportunity to develop and progress rapidly. Role Overview As a Data Engineer, you will design, build, and maintain scalable data solutions that enable analytics, AI, and operational insights. You'll work alongside client and internal teams to create robust data pipelines, ensure data reliability, and support cloud based architectures that power intelligent decision making. Key Responsibilities Data Pipeline Development Build, optimize, and maintain scalable data pipelines using Java (primary), plus exposure to Python, Flink, Kafka, or Spark. Develop and support real time streaming pipelines and event driven integrations. Integrate data from multiple sources (streaming, batch, APIs) using AWS managed services (e.g., Kinesis, MSK, Lambda, Glue). Data Architecture & Standards Contribute to data modelling, data architecture best practices, and modern patterns (e.g., medallion architecture). Ensure data quality, lineage, governance, and security controls are applied consistently. DevOps & Deployment Deploy and maintain data applications using CI/CD tooling (Azure DevOps, GitHub Actions, Jenkins). Use Infrastructure as Code (e.g., Terraform, CloudFormation) to manage cloud environments. Work with container technologies such as Docker and Kubernetes based workloads. Collaboration Work closely with analytics, ML/AI, and product teams to deliver clean, well structured datasets. Participate in code reviews and internal knowledge sharing sessions. Provide guidance to junior engineers where needed. Qualification Core Data Engineering Strong programming proficiency in Java (preferred) or Python. Hands-on experience with at least one of: Kafka, Flink, Spark (Flink/Kafka preferred for streaming). Solid understanding of stream processing concepts (e.g., event time, state, backpressure). Understanding of software engineering best practices: testing, design patterns, CI/CD, Git. Experience building ETL/ELT or streaming data pipelines. Exposure to microservices and distributed system concepts. Experience working with cloud platforms, ideally AWS, but Azure/GCP also acceptable. Understanding of distributed compute, large-scale data systems, and performance considerations. DevOps & Engineering Practices Experience with CI/CD tools (Azure DevOps, GitHub Actions, Jenkins etc.). Infrastructure as Code (Terraform preferred). Experience with containerisation (Docker) and orchestration platforms (Kubernetes/EKS). Certifications & Tools Exposure to enterprise data platforms (Databricks, Snowflake, BigQuery, or similar). Cloud certifications (AWS, Azure, GCP) are beneficial but not required. Other Requirements Minimum 3 years' experience working on data engineering or large-scale data solutions. Comfortable working in Agile delivery teams. Strong communication skills and ability to collaborate with technical and non technical stakeholders. Desirable Experience in client-facing or consulting environments. Professional cloud or data engineering certifications. Experience mentoring or supporting junior engineers. Background in designing or operating real time, low-latency systems. Locations Newcastle Additional Information Equal Employment Opportunity Statement All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law. Job candidates will not be obligated to disclose sealed or expunged records of conviction or arrest as part of the hiring process. Accenture is committed to providing veteran employment opportunities to our service men and women. Please read Accenture's Recruiting and Hiring Statement for more information on how we process your data during the Recruiting and Hiring process. About Accenture We work with one shared purpose: to deliver on the promise of technology and human ingenuity. Every day, more than 775,000 of us help our stakeholders continuously reinvent. Together, we drive positive change and deliver value to our clients, partners, shareholders, communities, and each other. We believe that delivering value requires innovation, and innovation thrives in an inclusive and diverse environment. We actively foster a workplace free from bias, where everyone feels a sense of belonging and is respected and empowered to do their best work. At Accenture, we see well-being holistically, supporting our people's physical, mental, and financial health. We also provide opportunities to keep skills relevant through certifications, learning, and diverse work experiences. We're proud to be consistently recognized as one of the World's Best Workplaces . Join Accenture to work at the heart of change. Visit us at .

Role: Data Engineer Location: Newcastle Upon Tyne Salary: TBC - Depending on experience Levels: Senior Analyst, Specialist Hybrid Working: 3 days per week in our Newcastle, Cobalt business park office Please Note: Any offer of employment is subject to satisfactory BPSS and SC security clearance which requires 5 years continuous UK address history (typically including no periods of 30 consecutive days or more spent outside of the UK) and declaration of being a British or EU passport holder or hold Indefinite Leave to remain within the UK at the point of application. Note: The above information relates to a specific client requirement About the Team Our Advanced Technology Centre is a hub of innovation where we deliver high quality data and technology services to clients across both the public and private sectors. If you're looking for a dynamic role that offers hands on experience with modern data technologies and the chance to shape large scale data solutions, this position offers you the opportunity to develop and progress rapidly. Role Overview As a Data Engineer, you will design, build, and maintain scalable data solutions that enable analytics, AI, and operational insights. You'll work alongside client and internal teams to create robust data pipelines, ensure data reliability, and support cloud based architectures that power intelligent decision making. Key Responsibilities Data Pipeline Development Build, optimize, and maintain scalable data pipelines using Java (primary), plus exposure to Python, Flink, Kafka, or Spark. Develop and support real time streaming pipelines and event driven integrations. Integrate data from multiple sources (streaming, batch, APIs) using AWS managed services (e.g., Kinesis, MSK, Lambda, Glue). Data Architecture & Standards Contribute to data modelling, data architecture best practices, and modern patterns (e.g., medallion architecture). Ensure data quality, lineage, governance, and security controls are applied consistently. DevOps & Deployment Deploy and maintain data applications using CI/CD tooling (Azure DevOps, GitHub Actions, Jenkins). Use Infrastructure as Code (Terraform, CloudFormation) to manage cloud environments. Work with container technologies such as Docker and Kubernetes based workloads. Collaboration Work closely with analytics, ML/AI, and product teams to deliver clean, well structured datasets. Participate in code reviews and internal knowledge sharing sessions. Provide guidance to junior engineers where needed. Qualification Core Data Engineering Strong programming proficiency in Java (preferred) or Python. Hands on experience with at least one of: Kafka, Flink, Spark (Flink/Kafka preferred for streaming). Solid understanding of stream processing concepts (e.g., event time, state, backpressure). Understanding of software engineering best practices: testing, design patterns, CI/CD, Git. Experience building ETL/ELT or streaming data pipelines. Exposure to microservices and distributed system concepts. Experience working with cloud platforms, ideally AWS, but Azure/GCP also acceptable. Understanding of distributed compute, large scale data systems, and performance considerations. DevOps & Engineering Practices Experience with CI/CD tools (Azure DevOps, GitHub Actions, Jenkins etc.). Infrastructure as Code (Terraform preferred). Experience with containerisation (Docker) and orchestration platforms (Kubernetes/EKS). Certifications & Tools Exposure to enterprise data platforms (Databricks, Snowflake, BigQuery, or similar). Cloud certifications (AWS, Azure, GCP) are beneficial but not required. Other Requirements Minimum 3 years' experience working on data engineering or large scale data solutions. Comfortable working in Agile delivery teams. Strong communication skills and ability to collaborate with technical and non technical stakeholders. Desirable Experience in client facing or consulting environments. Professional cloud or data engineering certifications. Experience mentoring or supporting junior engineers. Background in designing or operating real time, low latency systems.

Discover your future at Citi Working at Citi 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 Citi, 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 Citi, our Tech team doesn't just support finance - we are helping to redefine it. Every day, $5 trillion crosses through our network. We do business in 180+ countries operating at a scale few can match. From deploying advanced AI to helping shape global markets, we build systems that matter. Look to join a team where your work helps influence economies, your ideas can drive innovation and outcomes, and your growth is backed by mentorship, continuous learning and flexibility with potential hybrid work opportunities. Help solve real world challenges that touch millions and get the opportunity to build the future of finance with Citi Tech. The Lead Java Developer is a senior level position responsible for establishing and implementing new or revised application systems and programs in coordination with the Technology team. The overall objective of this role is to lead applications systems analysis and programming activities. Responsibilities Lead delivery of Real Time and On Demand Risk enhancements for the Credit Business by partnering directly with London based trading, MQA, Market Risk, and technology teams. Own the full development lifecycle: architecture, design, implementation, automated testing strategies, release execution, and ongoing production support. Drive alignment of RT/OD workflows with EOD Risk strategy, ensuring functional parity, reconciliation, and controlled cutover. Lead adoption and build out of RT/OD capabilities on strategic risk platform, including integration of new analytics, workflows, and risk datasets. Deliver significant performance improvements through optimized risk calculation strategies. Guide the migration of compute workloads to AWS, implementing best practices for scalability, throughput, resiliency, and cost efficiency. Collaborate actively with NAM and APAC teams in a follow the sun model to improve delivery velocity, reduce operational risk, and ensure rapid triage of production incidents. Provide user facing updates, demos, documentation, and education to promote adoption and ensure successful rollout of new capabilities. Lead root cause analysis on production issues, drive long term stability improvements, and strengthen monitoring and observability across the platform. Recommended Experience Strong experience in Core Java, J2EE, Spring Framework Exposure to Python scripting and data analysis Experience in fast moving Capital Markets Front Office technology environment with experience in Fixed Income products Working knowledge of Front Office Risk calculations, especially for Credit products Experience in building highly scalable and distributed applications using Microservices, APIs, and Container technologies such as Docker, Kubernetes, OpenShift, etc. Strong expertise in messaging technologies such as Kafka, JMS, gRPC etc. Proficient in latency measurement and performance optimization of Java based platforms with focus on JVM tuning Experience with observability stacks like ELK, Prometheus, Grafana, Kiali, Jaeger etc. Sound knowledge for persistence technologies such as relational databases, NoSQL databases, off heap storages and distributed caches Hands on knowledge of Linux / Unix Experience working with senior Quants and Technology Managers Good verbal and written communication Education Bachelor's degree/University degree or equivalent experience Master's degree preferred This job description provides a high level review of the types of work performed. Other job related duties may be assigned as required. What we'll provide you By joining Citi, you will not only be part of a business casual workplace with a hybrid working model (up to 2 days working at home per week), but also receive a competitive base salary (which is annually reviewed), and enjoy a whole host of additional benefits such as: 27 days annual leave (plus bank holidays) A discretionary annual performance related bonus Private Medical Care & Life Insurance Employee Assistance Program Pension Plan Paid Parental Leave Special discounts for employees, family, and friends Access to an array of learning and development resources Visit our Global Benefits page to learn more. Alongside these benefits Citi is committed to ensuring our workplace is where everyone feels comfortable coming to work as their whole self, every day. We want the best talent around the world to be energized to join us, motivated to stay and empowered to thrive. 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.

Lead Java DeveloperApplyremote type: Hybridlocations: London United Kingdomtime type: Full timeposted on: Posted 30+ Days Agojob requisition id: Discover your future at Citi Working at Citi 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 Citi, 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 Citi, our Tech team doesn't just support finance - we are helping to redefine it. Every day, $5 trillion crosses through our network. We do business in 180+ countries operating at a scale few can match. From deploying advanced AI to helping shape global markets, we build systems that matter. Look to join a team where your work helps influence economies, your ideas can drive innovation and outcomes, and your growth is backed by mentorship, continuous learning and flexibility with potential hybrid work opportunities. Help solve real-world challenges that touch millions and get the opportunity to build the future of finance with Citi Tech.The Lead Java Developer is a senior level position responsible for establishing and implementing new or revised application systems and programs in coordination with the Technology team. The overall objective of this role is to lead applications systems analysis and programming activities. Responsibilities: Lead delivery of Real Time and On Demand Risk enhancements for the Credit Business by partnering directly with London based trading, MQA, Market Risk, and technology teams. Own the full development lifecycle: architecture, design, implementation, automated testing strategies, release execution, and ongoing production support. Drive alignment of RT/OD workflows with EOD Risk strategy, ensuring functional parity, reconciliation, and controlled cutover. Lead adoption and build out of RT/OD capabilities on strategic risk platform, including integration of new analytics, workflows, and risk datasets. Deliver significant performance improvements through optimized risk calculation strategies. Guide the migration of compute workloads to AWS, implementing best practices for scalability, throughput, resiliency, and cost efficiency. Collaborate actively with NAM and APAC teams in a follow the sun model to improve delivery velocity, reduce operational risk, and ensure rapid triage of production incidents. Provide user-facing updates, demos, documentation, and education to promote adoption and ensure successful rollout of new capabilities. Lead root cause analysis on production issues, drive long term stability improvements, and strengthen monitoring and observability across the platform. Recommended Experience: Strong experience in Core Java, J2EE, Spring Framework Exposure to Python scripting and data analysis Experience in fast moving Capital Markets Front Office technology environment with experience in Fixed Income products Working knowledge of Front Office Risk calculations, especially for Credit products Experience in building highly scalable and distributed applications using Microservices, APIs, and Container technologies such as Docker, Kubernetes, OpenShift, etc. Strong expertise in messaging technologies such as Kafka, JMS, gRPC etc Proficient in latency measurement and performance optimization of Java based platforms with focus on JVM tuning Experience with observability stacks like ELK, Prometheus, Grafana, Kiali, Jaeger etc. Sound knowledge for persistence technologies such as relational databases, NoSQL databases, off heap storages and distributed caches Hands-on knowledge of Linux / Unix Experience working with senior Quants and Technology Managers Good verbal and written communication 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. What we'll provide you By joining Citi, you will not only be part of a business casual workplace with a hybrid working model (up to 2 days working at home per week), but also receive a competitive base salary (which is annually reviewed), and enjoy a whole host of additional benefits such as: 27 days annual leave (plus bank holidays) A discretional annual performance related bonus Private Medical Care & Life Insurance Employee Assistance Program Pension Plan Paid Parental Leave Special discounts for employees, family, and friends Access to an array of learning and development resourcesVisit our Global Benefits page to learn more.Alongside these benefits Citi is committed to ensuring our workplace is where everyone feels comfortable coming to work as their whole self, every day. We want the best talent around the world to be energized to join us, motivated to stay and empowered to thrive. 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.

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.

Role: Data Engineer Location: Newcastle Upon Tyne Salary: TBC - Depending on experience Levels: Senior Analyst, Specialist Hybrid Working: 3 days per week in our Newcastle, Cobalt business park office Please Note: Any offer of employment is subject to satisfactory BPSS and SC security clearance which requires 5 years continuous UK address history (typically including no periods of 30 consecutive days or more spent outside of the UK) and declaration of being a British or EU passport holder or hold Indefinite Leave to remain within the UK at the point of application. Note: The above information relates to a specific client requirement About the Team Our Advanced Technology Centre is a hub of innovation where we deliver high quality data and technology services to clients across both the public and private sectors. If you're looking for a dynamic role that offers hands on experience with modern data technologies and the chance to shape large scale data solutions, this position offers you the opportunity to develop and progress rapidly. Role Overview As a Data Engineer, you will design, build, and maintain scalable data solutions that enable analytics, AI, and operational insights. You'll work alongside client and internal teams to create robust data pipelines, ensure data reliability, and support cloud based architectures that power intelligent decision making. Key Responsibilities Data Pipeline Development Build, optimize, and maintain scalable data pipelines using Java (primary), plus exposure to Python, Flink, Kafka, or Spark. Develop and support real time streaming pipelines and event driven integrations. Integrate data from multiple sources (streaming, batch, APIs) using AWS managed services (e.g., Kinesis, MSK, Lambda, Glue). Data Architecture & Standards Contribute to data modelling, data architecture best practices, and modern patterns (e.g., medallion architecture). Ensure data quality, lineage, governance, and security controls are applied consistently. DevOps & Deployment Deploy and maintain data applications using CI/CD tooling (Azure DevOps, GitHub Actions, Jenkins). Use Infrastructure as Code (Terraform, CloudFormation) to manage cloud environments. Work with container technologies such as Docker and Kubernetes based workloads. Collaboration Work closely with analytics, ML/AI, and product teams to deliver clean, well structured datasets. Participate in code reviews and internal knowledge sharing sessions. Provide guidance to junior engineers where needed. Qualification Core Data Engineering Strong programming proficiency in Java (preferred) or Python. Hands on experience with at least one of: Kafka, Flink, Spark (Flink/Kafka preferred for streaming). Solid understanding of stream processing concepts (e.g., event time, state, backpressure). Understanding of software engineering best practices: testing, design patterns, CI/CD, Git. Experience building ETL/ELT or streaming data pipelines. Exposure to microservices and distributed system concepts. Experience working with cloud platforms, ideally AWS, but Azure/GCP also acceptable. Understanding of distributed compute, large scale data systems, and performance considerations. DevOps & Engineering Practices Experience with CI/CD tools (Azure DevOps, GitHub Actions, Jenkins etc.). Infrastructure as Code (Terraform preferred). Experience with containerisation (Docker) and orchestration platforms (Kubernetes/EKS). Certifications & Tools Exposure to enterprise data platforms (Databricks, Snowflake, BigQuery, or similar). Cloud certifications (AWS, Azure, GCP) are beneficial but not required. Other Requirements Minimum 3 years' experience working on data engineering or large scale data solutions. Comfortable working in Agile delivery teams. Strong communication skills and ability to collaborate with technical and non technical stakeholders. Desirable Experience in client facing or consulting environments. Professional cloud or data engineering certifications. Experience mentoring or supporting junior engineers. Background in designing or operating real time, low latency systems.

Camunda Architect / Lead Architect (Camunda 8 Preferred) Location: London, UK Work Model: Hybrid Employment Type: Full-time / Fixed Term Contract Seniority: Senior / Lead Role Overview We are seeking an experienced Camunda Architect to lead the design, architecture, and implementation of enterprise-grade workflow and process orchestration solutions. This role is responsible for defining architecture standards, guiding engineering teams, and ensuring scalable, secure, resilient, and maintainable process automation solutions using Camunda, with a strong preference for Camunda 8. The successful candidate will act as the technical authority for workflow orchestration and will work closely with stakeholders, solution architects, developers, and DevOps teams to deliver high-impact automation solutions aligned to business and engineering objectives. Candidates with strong Camunda 7 experience may also be considered, provided they can clearly demonstrate an understanding of: the differences between Camunda 7 and Camunda 8 the trade-offs between the two platforms when each is most appropriate readiness to work in a Camunda 8-led environment Key Responsibilities Architecture & Solution Design Define and own the end-to-end architecture for Camunda-based workflow and process orchestration solutions Lead the design of scalable, resilient, and cloud-native workflow architectures using Camunda / Zeebe Establish architecture standards and best practices for: BPMN DMN workflow orchestration process governance versioning and lifecycle management Translate complex business processes into robust and maintainable technical solutions Platform, Integration & Engineering Architect integrations with microservices, APIs, and event/messaging platforms Design for scalability, fault tolerance, performance, and operational resilience Guide deployment strategy across Camunda SaaS and self-managed models Collaborate with engineering and DevOps teams on: CI/CD pipelines containerised deployments Kubernetes-based environments observability and platform monitoring Technical Leadership Provide technical leadership and architectural guidance across engineering teams and delivery squads Mentor engineers and support the uplift of workflow orchestration capability across the organisation Evaluate tools, patterns, and frameworks to improve process automation capability and architectural maturity Required Skills & Experience Essential Strong experience designing and implementing solutions using Camunda, ideally Camunda 8 / Zeebe Camunda 8 Certification strongly preferred Deep understanding of: BPMN 2.0 DMN workflow orchestration patterns Strong software architecture and system design experience Strong background in: microservices architecture event-driven systems distributed systems Strong backend engineering experience using Java / Spring Boot or equivalent Experience working with: REST APIs Kafka / RabbitMQ / messaging systems Docker Kubernetes cloud-native deployments Strong understanding of security, scalability, resilience, and reliability principles Strong communication and stakeholder management skills Ability to balance technical architecture with practical business and delivery outcomes Preferred / Desirable Experience with both Camunda 7 and Camunda 8 Experience with Camunda SaaS and self-managed deployments at scale Exposure to cloud platforms such as: AWS Azure GCP Experience with observability tooling such as: Prometheus Grafana OpenTelemetry Experience with: enterprise integration patterns API management workflow/task UI customisation Experience in regulated industries such as: Banking Insurance Healthcare Ideal Profile This role is best suited to someone currently operating as a: Camunda Architect Workflow Architect BPM Architect Process Orchestration Architect Lead Solution Architect (Workflow / Automation)

Camunda Architect / Lead Architect (Camunda 8 Preferred) Location: London, UK Work Model: Hybrid Employment Type: Full-time / Fixed Term Contract Seniority: Senior / Lead Role Overview We are seeking an experienced Camunda Architect to lead the design, architecture, and implementation of enterprise-grade workflow and process orchestration solutions. This role is responsible for defining architecture standards, guiding engineering teams, and ensuring scalable, secure, resilient, and maintainable process automation solutions using Camunda, with a strong preference for Camunda 8. The successful candidate will act as the technical authority for workflow orchestration and will work closely with stakeholders, solution architects, developers, and DevOps teams to deliver high-impact automation solutions aligned to business and engineering objectives. Candidates with strong Camunda 7 experience may also be considered, provided they can clearly demonstrate an understanding of: the differences between Camunda 7 and Camunda 8 the trade-offs between the two platforms when each is most appropriate readiness to work in a Camunda 8-led environment Key Responsibilities Architecture & Solution Design Define and own the end-to-end architecture for Camunda-based workflow and process orchestration solutions Lead the design of scalable, resilient, and cloud-native workflow architectures using Camunda / Zeebe Establish architecture standards and best practices for: BPMN DMN workflow orchestration process governance versioning and lifecycle management Translate complex business processes into robust and maintainable technical solutions Platform, Integration & Engineering Architect integrations with microservices, APIs, and event/messaging platforms Design for scalability, fault tolerance, performance, and operational resilience Guide deployment strategy across Camunda SaaS and self-managed models Collaborate with engineering and DevOps teams on: CI/CD pipelines containerised deployments Kubernetes-based environments observability and platform monitoring Technical Leadership Provide technical leadership and architectural guidance across engineering teams and delivery squads Mentor engineers and support the uplift of workflow orchestration capability across the organisation Evaluate tools, patterns, and frameworks to improve process automation capability and architectural maturity Required Skills & Experience Essential Strong experience designing and implementing solutions using Camunda, ideally Camunda 8 / Zeebe Camunda 8 Certification strongly preferred Deep understanding of: BPMN 2.0 DMN workflow orchestration patterns Strong software architecture and system design experience Strong background in: microservices architecture event-driven systems distributed systems Strong backend engineering experience using Java / Spring Boot or equivalent Experience working with: REST APIs Kafka / RabbitMQ / messaging systems Docker Kubernetes cloud-native deployments Strong understanding of security, scalability, resilience, and reliability principles Strong communication and stakeholder management skills Ability to balance technical architecture with practical business and delivery outcomes Preferred / Desirable Experience with both Camunda 7 and Camunda 8 Experience with Camunda SaaS and self-managed deployments at scale Exposure to cloud platforms such as: AWS Azure GCP Experience with observability tooling such as: Prometheus Grafana OpenTelemetry Experience with: enterprise integration patterns API management workflow/task UI customisation Experience in regulated industries such as: Banking Insurance Healthcare Ideal Profile This role is best suited to someone currently operating as a: Camunda Architect Workflow Architect BPM Architect Process Orchestration Architect Lead Solution Architect (Workflow / Automation)

Discover your future at Citi Working at Citi 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 Citi, 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 Citi, our Tech team doesn't just support finance - we are helping to redefine it. Every day, $5 trillion crosses through our network. We do business in 180+ countries operating at a scale few can match. From deploying advanced AI to helping shape global markets, we build systems that matter. Look to join a team where your work helps influence economies, your ideas can drive innovation and outcomes, and your growth is backed by mentorship, continuous learning and flexibility with potential hybrid work opportunities. Help solve real world challenges that touch millions and get the opportunity to build the future of finance with Citi Tech. The Global Fixed Income Trade Processing (FiTP) Team is seeking a Software Engineer (Java) with a proven track record of design and developing large, complex and distributed systems. This role is within the FiTP team in Belfast. The successful individual will ideally have a strong knowledge of Fixed Income products and experience in building software systems to handle the capture and processing of high volume of such trades. In this fast paced environment you must be able to prioritize tasks, work within deadlines, taking a pragmatic and thoughtful approach, paying close attention to details. You will need to employ strong communication skills, necessary to effectively produce client solutions. Senior Developer Characteristics Proven background in developing large distributed systems to address complex business problems. Ability to perform thorough requirement analysis and create comprehensive design for business features. Keen to produce well crafted software living up to highest quality standards. Enthusiastic in learning and adopting industry leading technologies into work. Ability to work independently with ownership to estimation and timeline. Self motivated and with determination to achieve goals. Good team working skills and ability to work in a virtual team environment. Ability to think critically, identify improvement opportunities within application and team, come up with solutions and drive the execution. Well organized and able to prioritize multiple tasks to achieve maximum output. Responsibilities Conduct tasks related to feasibility studies, time and cost estimates, IT planning, risk technology, applications development, model development, and establish and implement new or revised applications systems and programs to meet specific business needs or user areas. Monitor and control all phases of development process and analysis, design, construction, testing, and implementation as well as provide user and operational support on applications to business users. Utilize in depth specialty knowledge of applications development to analyze complex problems/issues, provide evaluation of business process, system process, and industry standards, and make evaluative judgement. Recommend and develop security measures in post implementation analysis of business usage to ensure successful system design and functionality. Consult with users/clients and other technology groups on issues, recommend advanced programming solutions, and install and assist customer exposure systems. Ensure essential procedures are followed and help define operating standards and processes. Serve as advisor or coach to new or lower level analysts. Has the ability to operate with a limited level of direct supervision. Can exercise independence of judgement and autonomy. Acts as SME to senior stakeholders and/or other team members. Appropriately assess risk when business decisions are made, demonstrating particular consideration for the firm's reputation and safeguarding Citigroup, its clients and assets, by driving compliance with applicable laws, rules and regulations, adhering to Policy, applying sound ethical judgment regarding personal behavior, conduct and business practices, and escalating, managing and reporting control issues with transparency. Skills & Experience Solid knowledge of Java (Java 11+ preferred) and object oriented design principles. Experience with the Spring Framework, including Spring Boot and Spring MVC. Proficiency in data access technologies like JPA/Hibernate or Spring Data. Experience in developing and deploying applications within a microservices architecture. Proficiency with relational (e.g., PostgreSQL, Oracle). Familiarity with message brokers such as Kafka or RabbitMQ. Experience in developing RESTful APIs. Familiarity with AI powered tools for coding, debugging, and optimization (e.g., GitHub Copilot, Amazon CodeWhisperer). Experience with advanced AI software engineering agents (e.g., Devin) is a plus. Familiarity with continuous integration and continuous delivery (CI/CD) concepts and tools (e.g., Jenkins, GitLab CI). Familiarity with containerization technologies like Docker and orchestration platforms like Kubernetes or OpenShift. General Skills Experience contributing to successful software projects. Demonstrates ownership and sound judgment in technical tasks. Clear written and verbal communication skills. Education Bachelor's degree/University degree or equivalent experience. This job description provides a high level review of the types of work performed. Other job related duties may be assigned as required. What we'll provide you By joining Citi, you will not only be part of a business casual workplace with a hybrid working model (up to 2 days working at home per week), but also receive a competitive base salary (which is annually reviewed), and enjoy a whole host of additional benefits such as: 27 days annual leave (plus bank holidays) A discretionary annual performance related bonus Private Medical Care & Life Insurance Employee Assistance Program Pension Plan Paid Parental Leave Special discounts for employees, family, and friends Access to an array of learning and development resources Visit our Global Benefits page to learn more. Alongside these benefits Citi is committed to ensuring our workplace is where everyone feels comfortable coming to work as their whole self, every day. We want the best talent around the world to be energized to join us, motivated to stay and empowered to thrive. 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 EEO Policy Statement and the Know Your Rights poster.

As a Data Engineer, you will be critical to the successful delivery of the programme, collaborating within matrix organisation, with multi-disciplinary teams within Engineering. We are looking for individuals who want to serve. You'll have a mission focus, and the enthusiasm and drive to deliver. You must be eligible and willing to obtain SC clearance and will be based at Warminster working in a hybrid style. You'll work in a matrix organisation and report operationally through OMNIA Training and functionally to the Data Lead. Ultimately, you'll work for the British Army, championing innovation, and helping shape the future of military collective training. Key Responsibilities Collaborate with engineering, simulation, customer, third party and training teams to ensure seamless data management and integration across military training environments. Ensuring the security and compliance of data environments through the implementation of appropriate security controls and governance frameworks. Author, review and contribute to technical documentation. Coordinate with cross-functional engineering teams-including QA, development, operations, and business SMEs. Assist in the design and implementation of scalable, high-performance data platforms and pipelines. Define and enforce data engineering standards, best practices, and governance frameworks including data lifecycle design, implementation and management. Implement the design and optimisation of data storage, processing, and retrieval strategies. Collaborate with cross-functional teams (data scientists, analysts, software engineers) to align data solutions with business needs. Drive adoption of modern data technologies (e.g., cloud-native platforms, streaming, orchestration tools). Contribute to data quality, security, compliance, and lineage practices across the organisation. Provide technical input and guidance to data engineering team members. Evaluate, select, and integrate new tools, frameworks, and platforms for the data ecosystem. Act as a subject matter expert in data strategy, influencing design decisions. Any other duties required to meet the needs of the programme. Who we are looking for The OMNIA Data Engineer will provide hands on technical oversight and management across the Army Collective Training Service (ACTS) data solutions. These will be prominently MODCloud hosted utilising Cloud Services from AWS, Azure, OCP where appropriate. Reporting to the Data Architect, you will play a key role in ensuring the effective design, assurance, transformation, and delivery of data across ACTS services and capabilities. This includes supporting the integration and operational use of data from legacy systems through API-driven solutions. This role requires a systems thinking mindset, strong stakeholder engagement skills, and the ability to work across engineering teams in a complex and evolving environment. Given the programme's focus on modelling and simulation, familiarity with relevant standards and technologies is highly desirable. Essential Skills and Experience Hands on experience with cloud platforms (AWS, Azure, GCP, OCI) and cloud native data services. Extensive experience designing and building large scale data pipelines and platforms. Strong expertise in SQL, data modelling, and database optimisation (relational, vector and NoSQL). Proficiency in distributed data processing frameworks (e.g., Spark, Flink, Hadoop). Deep knowledge of cloud data platforms (AWS, Azure, or GCP) and associated services. Strong programming skills in Python, Java, or Scala for data engineering. Hands on experience with data orchestration and workflow management tools (e.g., Airflow, Dagster, Prefect). Proven track record with data governance, quality, lineage, and security practices. Experience with real time/streaming data technologies, data ingestion/ETL (e.g., Apache Kafka, Apache NiFi, Kinesis, Pub/Sub). Strong proficiency in relational and non relational databases (e.g., PostgreSQL, MongoDB, Cassandra). Deep knowledge of data transformation and ETL pipelines and APIs. Security cleared or ability to obtain (SC or above). Desirable Skills and Experience Degree in Data Engineering or equivalent professional accreditation such as CEng. Experience with graph databases and advanced query languages (e.g., Neo4j, Gremlin). Knowledge of machine learning data pipelines and MLOps practices. Familiarity with data virtualisation and data mesh concepts. Hands on experience with containerisation and orchestration (Docker, Kubernetes, Red Hat OpenShift and Ceph). Exposure to infrastructure as code tools (Terraform, CloudFormation). Experience with BI/visualisation tools (e.g., Tableau, Power BI, Looker, Elastic Stack). Knowledge of compliance frameworks (GDPR, HIPAA, CCPA) and their impact on data systems. Strong background in performance tuning for high throughput, low latency data systems. Microsoft Certified: Azure Data Engineer Associate, AWS Certified Data Engineer, IBM Data Engineering Professional Certificate or similar.

We are seeking a highly skilled and motivated Senior Java Engineer to join our innovative development team. You will be instrumental in designing, developing, and maintaining high-performance, scalable applications and services. This role requires deep expertise in modern Java ecosystems, microservice architectures, and distributed systems design patterns. Requirements 7+ years of professional software development experience, primarily in Java/JEE. Expert proficiency with the Spring Framework, including Spring Boot, Spring Cloud, Spring Security, and Spring Data. Proven experience in designing and building microservices and highly distributed systems. Deep understanding of architectural and scaling patterns: Kafka and scaling, message brokers, guaranteeing message order, and idempotency. Saga Pattern: practical application of distributed transactions for eventual consistency across microservices. CQRS: understanding of Command Query Responsibility Segregation and managing eventual consistency. Orchestration vs Choreography: ability to choose and implement appropriate service coordination strategies. Relational databases (e.g., PostgreSQL, MySQL) and NoSQL databases (e.g., MongoDB, Cassandra). Strong experience designing, documenting, and implementing APIs (RESTful services). Hands-on experience with cloud computing platforms (AWS, Azure, or GCP). Proficiency with CI/CD tools, specifically Jenkins, for automation of build, test, and deployment processes. Familiarity with containerization technologies (Docker, Kubernetes). Experience with other SDLC tools (e.g., Git, Jira, Confluence). Excellent communication and problem-solving skills. Ability to work independently and as part of a high-performing team. Demonstrated experience in driving projects from concept to production. Job responsibilities Lead the design, development, and deployment of mission-critical applications using Java, Spring Boot, and JEE technologies. Implement and manage microservices, ensuring high availability, performance, and scalability by leveraging core microservices patterns (e.g., Service Discovery, Circuit Breaker, API Gateway, and CQRS). Design and build robust, secure, and well-documented APIs (REST/gRPC) and manage inter-service communication using synchronous and asynchronous (event-driven) messaging patterns. Collaborate with cross-functional teams (Product, DevOps, QA) to define, design, and ship new features. Drive the continuous integration and continuous deployment (CI/CD) pipeline using tools like Jenkins. Architect and implement solutions on cloud platforms (AWS, Azure, or GCP). Mentor junior engineers and promote best practices in coding, testing, and system design. Participate in code reviews to ensure code quality, maintainability, and adherence to established standards. Troubleshoot and resolve complex production issues across various system components. Excellent understanding of containerization (Docker, Kubernetes) to support distributed microservices architectures. What we offer Why work at GlobalLogic Our goal is to build an inclusive positive culture where everyone can feel comfortable being themselves, empowering our people to create their own high standards and therefore more value. We work together to promote fairness while recognising, valuing and embracing differences - providing a transparent support structure and generous training budget to help our people develop skills to progress their career. Our region also supports a hybrid model which can flex across a wide spectrum of working options determined by our business, customer and individual needs. You'll benefit from a comprehensive health and wellness plan, private healthcare (clinical and mental wellbeing), and discounted gym memberships. We offer a fantastic benefits package including a competitive pension scheme and recognition schemes through bonus/reward initiatives. Colleagues are entitled to an annual volunteering day - so you can take time to support a cause close to your heart. We also love to stay social at our trips to the zoo, quiz nights, sports events, theatre trips and much more. We are an equal opportunities employer. It is our policy to promote an environment free from discrimination, harassment and victimisation. About GlobalLogic GlobalLogic, a Hitachi Group Company, is a trusted digital engineering partner to the world's largest and most forward-thinking companies. Since 2000, we've been at the forefront of the digital revolution - helping create some of the most innovative and widely used digital products and experiences. Today we continue to collaborate with clients in transforming businesses and redefining industries through intelligent products, platforms, and services.

Senior Java Engineer (Kafka, Kubernetes, SpringBoot) - Banking - London/Hybrid Daily rate: €600 - €700 (inside IR35) Duration: 12 months Start: ASAP My client is looking for a Senior Java Engineer to join on a contract basis. They need someone with strong core Java expertise as the role primarily involves server side deployment. 8 days on site per month. Responsibilities & Duties Work as part of an Agile development team to deliver the migration of the legacy application to a new event based and service oriented architecture solution, collaborating with the Solution Architect, Technical Lead, Application architects and other stakeholders. Lead delivery of a coherent end to end IT solution that meets both functional and non functional requirements and complies with Enterprise engineering and architecture standards. Ensure end to end consistency of solution delivery across platforms and teams, e.g. by organising walkthroughs of the solution with delivery teams. Ensure the solution meets guidelines and standards for design and development. Undertake hands on development and coach staff in the new technologies used; support the development of junior colleagues. Technical Skills Strong systems development experience at all stages of systems development covering design, development, testing, live implementation and post implementation support. Strong hands on Object Oriented Design skills. Strong core Java programming skills. Experience developing services/micro services in Java. Experience developing containerised services using Docker and Kubernetes. Hands on SpringBoot skills. Experience developing and deploying on Unix or Linux. Hands on experience of using the Kafka ecosystem. Experience of profiling and performance tuning. Experience of Behaviour Driven and Test Driven development principles and skills. Experience of Public Cloud development. Soft Skills Ability to motivate those you mentor, coach & lead. Stand out colleague and role model, willing to participate in peer reviews and be reviewed by peers. Reliable, self motivated and able to work without close management and supervision. Inspiring communication and presentation skills to present proposals orally and in writing. Demonstrable ability to complete work within agreed timescales and identify problems and provide the most suitable solution(s). Desirable Skills Working in an Agile development team. Designing and implementing platform independent, database independent event driven applications. Database design skills in technologies such as Oracle, Splunk. DevOps principles, processes and tooling. IBM MQ Messaging Standards, e.g. ISO15022, ISO20022 and JSON. Working in Financial Market Infrastructure and/or Regulated environments. Rates depend on experience and client requirements.

Salt Digital Recruitment is seeking a Senior Java Engineer for a contract role based in London/Hybrid. You will work as part of an Agile team to migrate a legacy application to a new event-based architecture, handling server-side deployment effectively. The ideal candidate has strong core Java expertise and experience with SpringBoot, Docker, and Kubernetes. This position requires strong communication skills and the ability to motivate and mentor junior staff. The daily rate is €600 - €700, with a duration of 12 months.

Software Engineer Cirata Symphony Engineering Team 2+ years experience Full-time Hybrid (3 days office based) Seniority: Engineer Languages: Java or Go Experience: 2+ years About the Role Cirata Symphony is an intelligent data orchestration platform that moves petabytes of data across on premises, cloud, and multi cloud environments - continuously, securely, and without disruption. We work with regulated enterprises in financial services, telecoms, and automotive who cannot afford downtime or data loss. As an Engineer on the Symphony team, you will contribute to the core services that power real time data movement, replication, and orchestration. You will work alongside experienced engineers building reliable, high throughput systems that customers trust with their most critical data. We are an AI forward team. We actively embrace AI assisted development - from coding assistants and AI powered code review to MCP connected tooling that integrates directly into customer workflows. We don't block these tools; we build with them. If you're curious about how AI can make you a more effective engineer, you'll fit right in. What You'll Work On Backend services in Java and Go that orchestrate live data flows across HDFS, S3, ADLS, GCS, Apache Iceberg, Databricks, and Snowflake Replication and synchronisation pipelines that handle petabyte scale volumes with low latency Governance and audit subsystems ensuring compliance grade security, lineage tracking, and access controls Internal tooling and automation that improves reliability, observability, and developer experience Unit, integration, and performance tests to maintain confidence in a zero downtime product MCP/AI workflows that unlock customer data Requirements 2+ years of professional experience writing production Java, Go, or both Solid understanding of concurrent programming and OOP principles Experience designing or consuming REST APIs and understanding HTTP semantics Comfortable working with Git, code reviews, and CI/CD workflows Strong communication skills Experience working in Linux environments Comfortable using AI coding assistants (GitHub Copilot, Claude, Cursor, or similar) as part of your day to day workflow Nice to Have Experience with Apache Hadoop, HDFS, or similar large scale data platforms Familiarity with at least one cloud storage platform (AWS S3, Azure ADLS, or Google Cloud Storage) Familiarity with Apache Iceberg, Delta Lake, or open table formats Exposure to Apache Kafka or other message streaming systems Knowledge of Kubernetes, Docker, or container orchestration Experience building or integrating MCP (Model Context Protocol) servers or AI tool use pipelines What We Offer The chance to work on genuine enterprise scale systems Mentorship from experienced engineers Flexible hybrid working with a collaborative, low ego engineering culture Access to the latest AI developer tooling - we invest in tools that make engineers more effective Competitive salary and benefits package