{"id":1268016,"url":"https://alion.io/job/jpmorganchase-sr-lead-software-engineer-javapython","title":"Sr Lead Software Engineer Java/Python","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":100,"open_postings":321,"ghost_share":0.003,"stale_share":0.009,"repost_share":0.159,"time_to_fill_p50_days":4,"computed_at":"2026-09-26T05:45:00Z"}},"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":["Wilmington, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":151000,"max_usd":295000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":680},"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Amazon ECS","optional":false},{"name":"Amazon EKS","optional":false},{"name":"AWS","optional":false},{"name":"AWS Lambda","optional":false},{"name":"AWS Step Functions","optional":false},{"name":"Databricks","optional":false},{"name":"ETL/ELT","optional":false},{"name":"Human-in-the-Loop","optional":false},{"name":"Java","optional":false},{"name":"LLM","optional":false},{"name":"Python","optional":false},{"name":"Spark","optional":false},{"name":"Kubernetes","optional":true}],"status":"live","first_seen_at":"2026-09-25T20:10:09Z","employer_posted_date":"2026-09-25","last_verified_at":"2026-09-27T03:36:57Z","board_verified":true,"closed_at":null,"days_open":1,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":1},"description":"When you mentor and advise multiple technical teams and move financial technologies forward, it’s a big challenge with big impact. You were made for this.\nAs a Senior Manager of Software Engineering at JPMorganChase within Finance Technology (RAPIDS), you serve in a leadership role by providing technical coaching and advisory for multiple technical teams, as well as anticipate the needs and potential dependencies of other functions within the firm. As an expert in your field, your insights influence budget and technical considerations to advance operational efficiencies and functionalities.\nJob responsibilities\nProvide overall direction, oversight, and coaching for a team of entry-level to mid-level software engineers that work on basic to moderately complex tasks\nAccountable for decisions that influence teams’ resources, budget, tactical operations, and the execution and implementation of processes and procedures\nSets and scales operating practices for enterprise-authorized AI-assisted engineering and SDLC/TLM automation across multiple teams to improve delivery speed, quality, and operational outcomes; establishes measurable expectations (e.g., throughput, defect reduction, reliability) and ensures consistent validation, security, resiliency, and reuse of proven patterns.\nApplies knowledge of tools within the Software Development Life Cycle toolchain, including enterprise-authorized AI-assisted development and automation capabilities, to drive efficiency and support capacity unlock initiatives across teams, prioritizing reuse of existing firm technology assets.\nEnsures successful collaboration across teams and stakeholders\nIdentifies and mitigates issues to execute a book of work while escalating issues as necessary\nProvides input to leadership regarding budget, approach, and technical considerations to improve operational efficiencies and functionality for the team\nLead the end-to-end design and development of software solutions, from requirements to production deployment and support\nServe as a technical owner for key components/services, driving architecture, code quality, performance, resilience, and security\nBuild and maintain backend services using Java/Python (including Spring) and modern API patterns\nDeliver full stack capabilities, including front-end development using React, and integration with backend APIs\nDesign and implement data pipelines and processing solutions leveraging Databricks (Spark-based patterns) and cloud data services\nBuild cloud-native solutions on AWS, leveraging services such as EMR, Glue, ECS/EKS, RDS, Lambda, and Step Functions\nDesign, integrate, and operationalize AI/ML and LLM-powered features (e.g., retrieval workflows, copilots/assistants, automation) with appropriate engineering rigor (testing, monitoring, governance alignment)\nRequired qualifications, capabilities, and skills\nFormal training or certification on software engineering concepts and 5+ years applied experience . In addition, 2 + years of experience leading technologists to manage and solve complex technical items within your domain of expertise\nExperience leading teams of technologists\nAbility to guide and coach teams on approach to achieve goals aligned against a set of strategic initiatives\nExperience leading multi-team adoption of enterprise-authorized AI-assisted development and delivery tools, including defining governance/ways of working (human-in-the-loop validation, quality gates), measuring outcomes, and ensuring secure handling of sensitive inputs/outputs.\nStrong understanding of responsible AI use in engineering workflows, including data sensitivity considerations, resiliency/security implications, and control expectations; ability to coach managers/leads and influence leaders on safe scaling patterns.\nExperience with hiring, developing, and recognizing talent\nStrong hands-on coding experience with Java and/or Python, including Spring for backend service development\nFull Stack development experience, including React and modern web development practices\nPractical cloud-native engineering experience, including deployment and operations on AWS\nExperience in AWS (EMR, GLUE, ECS/EKS, RDS, Lambda and Step Functions)\nExperience with data engineering/ETL and distributed processing; Databricks experience (e.g., Spark, jobs/workflows, Delta patterns)\nIn-depth knowledge of the services industry and their IT systems\nPreferred qualifications, capabilities, and skills\nExperience working in a large Banking or Financial Services Technology environment","description_format":"text","description_chars":4531,"description_truncated":false,"requirements":{"experience_years_min":5,"management_years_min":2,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Commercial & Retail Banks","Wealth Management & Financial Advisors","Asset Management & Funds","Investment Banking & M&A Advisory"],"lifecycle":[{"event":"open","at":"2026-09-25T22:48:56Z"}],"liveness":{"score":90,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.903,"p_room":1,"age_days":0,"expected_fill_days":4,"reasons":["conf:0","velocity","win:early","comp:brand"],"computed_at":"2026-09-26T05:45:00Z"},"pay":null,"html_url":"https://alion.io/job/jpmorganchase-sr-lead-software-engineer-javapython","json_url":"https://alion.io/job/jpmorganchase-sr-lead-software-engineer-javapython.json","meta":{"generated_at":"2026-09-27T04:57:33Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","usage":{"tier":"crawler","counted_by":"address","units_charged":1,"used_today":4350,"day_limit":5000,"remaining_today":650,"minute_limit":60,"resets_at":"2026-09-28T00:00:00Z"}}}