{"id":3855646,"url":"https://alion.io/job/j-p-morgan-workplace-solutions-senior-java-software-engineer-iii","title":"Senior Java Software Engineer III","company":{"id":1848842,"name":"J.P. Morgan Workplace Solutions","domain":"jpmorganworkplacesolutions.com","url":"https://alion.io/company/jpmorganworkplacesolutions","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Oracle","truth_index":{"grade":"A","score":99,"open_postings":295,"ghost_share":0.044,"stale_share":0.003,"repost_share":0.241,"time_to_fill_p50_days":10,"computed_at":"2026-11-07T05:47:08Z"}},"role":"Backend","role_family":"Backend","seniority":"senior","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Glasgow, United Kingdom"],"countries":["GB"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":8,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agile","optional":false},{"name":"Apache Kafka","optional":false},{"name":"AWS","optional":false},{"name":"Cassandra","optional":false},{"name":"CI/CD","optional":false},{"name":"Java","optional":false},{"name":"React.js","optional":false},{"name":"Spring Boot","optional":false},{"name":"JavaScript","optional":true}],"status":"live","first_seen_at":"2026-11-04T13:56:16Z","employer_posted_date":"2026-11-04","last_verified_at":"2026-11-08T04:08:18Z","board_verified":true,"closed_at":null,"days_open":3,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":3},"description":"Join a market-leading Margin & Collateral Services team within the CIB (Commercial & Investment Bank) and build modern, cloud-ready platforms that power critical post-trade and collateral workflows. We’re looking for a high-impact, deeply hands-on, and delivery-focused Java engineer with 8+ years of experience who thrives in complex domains, loves turning ambiguity into elegant solutions, and enjoys partnering with stakeholders to drive meaningful business outcomes.\nYou’ll work in an Agile environment, using modern engineering practices and AI-enabled developer tools to accelerate delivery and improve quality, while applying cost-effective & responsible AI practices throughout.\nJob responsibilities\nDesign, build, and own backend services for complex, high-throughput systems.\nPartner with product, operations, and technology stakeholders to clarify requirements, shape solutions, and influence decisions through strong communication.\nEngineer scalable, resilient Spring Boot microservices with a focus on performance, stability, observability, and operability.\nLead architecture and engineering best practices: clean code, automated testing, code reviews, CI/CD, and continuous improvement.\nApply AI-enabled developer tools responsibly to enhance engineering productivity and quality (e.g., accelerating coding, testing, documentation, and analysis workflows).\nLeverages enterprise-authorized AI coding assist tools within the work environment to improve code quality, delivery speed, and productivity across complex deliverables (e.g., code generation/refactoring, unit test creation, documentation), while validating outputs through peer review, automated testing, and secure coding standards; contributes learnings and reusable patterns to improve broader team effectiveness.\n\nApplies knowledge of tools within the Software Development Life Cycle toolchain, including enterprise-authorized AI-assisted development and automation capabilities, to improve the value realized by automation.\n\nRequired qualifications, capabilities, and skills\nFormal training or certification on software engineering concepts and advanced applied experience. \nStrong Java expertise through Java 21, including modern language features and best practices, building and designing complex applications. \nExtensive experience building Spring Boot microservices and designing for scalability, resilience, and maintainability.\nExperience working in modern distributed systems environments, with exposure to technologies such as Apache Kafka and Cassandra (NoSQL); plus working knowledge of React JS.\n Hands-on experience with cloud platforms (e.g., AWS, Cloud Foundry) and cloud-native engineering practices.\nStrong problem-solving skills with ability to translate ambiguous business requirements into high-quality technical solutions.\nExcellent communication and stakeholder management skills, including influencing across teams to drive optimal outcomes.\nPassion for applying AI to software engineering workflows, with awareness of responsible usage and risk considerations.\nHands-on experience using enterprise-authorized AI-assisted software development tools within the work environment (e.g., for coding, test creation, troubleshooting, or documentation) with demonstrated ability to critically evaluate, validate, and refine AI-generated outputs for correctness, performance, and security.\n\nUnderstanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations; 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