{"id":935475,"url":"https://alion.io/job/jpmorganchase-lead-software-engineer-java-go-chief-technology-office","title":"Lead Software Engineer - Java & Go - Chief Technology Office","company":{"id":257,"name":"JPMorganChase","domain":"jpmorganchase.com","url":"https://alion.io/company/jpmorganchase","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Oracle","truth_index":{"grade":"A","score":95,"open_postings":723,"ghost_share":0.01,"stale_share":0.342,"repost_share":0.087,"time_to_fill_p50_days":8,"computed_at":"2026-10-20T05:45:00Z"}},"role":"Backend","role_family":"Backend","seniority":"head","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":{"min_usd":99000,"max_usd":233000,"period":"year","method":"global_role_cell_scaled_by_country","sample_n":133},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agile","optional":false},{"name":"Java","optional":false},{"name":"Machine Learning","optional":false},{"name":"Spring Boot","optional":false},{"name":"Spring MVC","optional":false},{"name":"CI/CD","optional":true},{"name":"Docker","optional":true},{"name":"Kubernetes","optional":true},{"name":"Python","optional":true}],"status":"live","first_seen_at":"2026-09-15T00:00:00Z","employer_posted_date":"2026-09-15","last_verified_at":"2026-10-20T16:38:42Z","board_verified":true,"closed_at":null,"days_open":35,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":35},"description":"We have an opportunity to impact your career and provide an adventure where you can push the limits of what's possible. Join a team where your contributions shape the technology that powers one of the world's most trusted financial institutions. Here, you'll collaborate with talented engineers, drive meaningful innovation, and grow your career in an environment that values curiosity, inclusion, and technical excellence.\nAs a Lead Software Engineer at JPMorganChase within the Chief Technology Office, you are an integral part of an agile team that works to enhance, build, and deliver trusted market-leading technology products in a secure, stable, and scalable way. As a core technical contributor, you are responsible for conducting critical technology solutions across multiple technical areas within various business functions in support of the firm's business objectives.\nJob responsibilities\nExecute creative software solutions, design, development, and technical troubleshooting with the ability to think beyond routine or conventional approaches to build solutions or break down technical problems\nDevelop secure, high-quality production code, and review and debug code written by others across a primarily Go-based codebase, with a team culture that supports learning and growth across languages\nIdentify opportunities to eliminate or automate remediation of recurring issues to improve overall operational stability of software applications and systems\nLead evaluation sessions with external vendors, startups, and internal teams to drive outcomes-oriented probing of architectural designs, technical credentials, and applicability for use within existing systems and information architecture\nLead communities of practice across Software Engineering to drive awareness and adoption of new and leading-edge technologies\nDrives team adoption of enterprise-authorized AI-assisted engineering practices within the work environment to improve code quality, delivery speed, and operational outcomes (e.g., AI-assisted code review/refactoring, test strategy acceleration, incident/root-cause analysis support), while establishing consistent validation standards (secure coding, peer review, automated testing) and promoting reuse of effective patterns across the team\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\nFoster a team culture of diversity, opportunity, inclusion, and respect\nRequired qualifications, capabilities, and skills\nFormal training or certification on software engineering concepts and advanced applied experience\nHands-on practical experience delivering system design, application development, testing, and operational stability\nDemonstrated proficiency in software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.)\nIn-depth knowledge of the financial services industry and its technology systems\nPractical cloud-native experience\nExperience with Java, Spring Boot, Spring MVC, and Spring Data in a production environment\nDemonstrated ability to design and deliver microservices with high reliability, clear APIs, and strong test coverage\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\nUnderstanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations; ability to guide peers on safe and effective usage within team practices\nPreferred qualifications, capabilities, and skills\nStrong hands-on experience with Go, building and maintaining production-ready services and tooling\nExperience with Starlark for build and automation workflows, including writing and maintaining Starlark scripts and rules\nWorking knowledge of Java and Groovy for integrations and supporting components in mixed-language environments\nComfortable with scripting (Shell/Python as needed), debugging, and collaborating across code reviews, CI/CD, and release workflows\nProficiency in API design principles including REST best practices, versioning, and backward compatibility\nExperience with relational and/or NoSQL databases, including indexing, transactions, and 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