{"id":1753312,"url":"https://alion.io/job/jpmorganchase-lead-software-engineer-127","title":"Lead Software Engineer","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":88,"open_postings":1137,"ghost_share":0.021,"stale_share":0.607,"repost_share":0.05,"time_to_fill_p50_days":14,"computed_at":"2026-11-09T06:03:00Z"}},"role":"Backend","role_family":"Backend","seniority":"lead","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["San Francisco, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":242000,"max_usd":485000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":1231},"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agile","optional":false},{"name":"Apache Kafka","optional":false},{"name":"CI/CD","optional":false},{"name":"Java","optional":false},{"name":"LLM Guardrails","optional":false},{"name":"Model Context Protocol","optional":false},{"name":"Python","optional":false},{"name":"Scrum","optional":false},{"name":"SQL","optional":false},{"name":"AI Agents","optional":true},{"name":"AWS","optional":true},{"name":"Least Privilege","optional":true},{"name":"LLM Evaluation","optional":true},{"name":"RAG","optional":true},{"name":"ServiceNow","optional":true}],"status":"live","first_seen_at":"2026-08-04T15:19:47Z","employer_posted_date":"2026-08-04","last_verified_at":"2026-11-09T22:19:33Z","board_verified":true,"closed_at":null,"days_open":97,"trust":{"level":"stale","repost_count":0,"flags":["stale"],"days_open":96},"description":"We have an opportunity to impact your career and provide an adventure where you can push the limits of what's possible.\nAs a Lead Software Engineer at JPMorganChase within the Infrastructure Platforms Digital Workflows Product Line, you will lead delivery of high-quality technical solutions, drive roadmaps and agile execution, mentor engineers, and implement AI-enabled engineering capabilities (including tool functions/skills and MCP servers/agents) within governance, security, and risk controls.\nJob responsibilities\nLead end-to-end design, implementation, and operation of complex platform features and integrations.\nCreate technical roadmaps and milestones; drive predictable delivery and continuous team process improvement.\nDevelop assistant skills/tool functions with clear interfaces, schemas, validation, error handling, and observability.\nStand up and operate MCP (Model Context Protocol) servers/integrations and agent patterns to accelerate delivery.\nEstablish evaluation checks, guardrails, and monitoring so AI behavior is accurate, safe, and verifiable.\nDrive data readiness and integration practices (modeling, pipelines alignment, quality controls) underpinning AI outcomes.\nUphold SDLC rigor: secure coding, code reviews, automated testing, CI/CD, and production readiness.\nMentor junior engineers (technical and soft skills), delegate effectively, and unblock delivery through technical leadership.\nPartner with product and analyst stakeholders on estimates, delivery plans, dependencies, and outcomes.\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.\n\nRequired qualifications, capabilities, and skills\nFormal training or certification on software engineering concepts and 5+ years applied experience \nStrong proficiency in Java and strong working experience with Python.\nStrong architecture and design skills across systems with sound engineering judgment.\nStrong engineering fundamentals (OOD, design patterns, SOLID) and a quality-first mindset (testing/TDD).\nStrong integration and data fundamentals (SQL/PL-SQL; event messaging such as MQ/Kafka).\nExperience operating production services with CI/CD, observability, and reliability best practices.\nDemonstrated experience leading effective use of approved AI-assisted software development tools (e.g., for coding, code review, test acceleration, troubleshooting) with the ability to set team expectations for validating AI outputs for correctness, performance, and security.\nStrong understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations; experience coaching engineers on safe, compliant adoption within delivery practice.\nAbility to create roadmaps/milestones, manage dependencies, and execute effectively in agile/scrum environments.\nTrack record of mentoring engineers, leading reviews, and raising engineering standards across a team.\nStrong communication and collaboration skills across distributed, cross-functional stakeholders.\nPreferred qualifications, capabilities, and skills\nServiceNow experience (including familiarity with the ServiceNow data model).\n\nExperience using AI-assisted development tools responsibly with strong engineering judgment and secure coding practices.\n\nExperience with MCP operations patterns (authN/Z, logging/traceability, rate limiting, versioning, safe rollout).\n\nExperience designing AI agents with grounding/RAG patterns, deterministic fallbacks, prompt/version management, and eval harnesses.\n\nUnderstanding of data privacy/security considerations for agent workflows (data minimization, secrets management, least privilege, auditability).\n\nExperience in AWS or other public cloud platforms.\n\nFEDERAL DEPOSIT INSURANCE ACT\nThis position is subject to Section 19 of the Federal Deposit Insurance Act. 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