{"id":3397758,"url":"https://alion.io/job/jpmorganchase-senior-lead-software-engineer-python-3","title":"Senior Lead Software Engineer - 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":90,"open_postings":1160,"ghost_share":0.011,"stale_share":0.553,"repost_share":0.058,"time_to_fill_p50_days":12,"computed_at":"2026-10-31T05:58:55Z"}},"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":["Glasgow, United Kingdom"],"countries":["GB"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":124000,"max_usd":249000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":54},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Linux","optional":false},{"name":"Python","optional":false},{"name":"SQL","optional":false},{"name":"AWS","optional":true},{"name":"Red Hat","optional":true}],"status":"live","first_seen_at":"2026-10-27T15:25:44Z","employer_posted_date":"2026-10-27","last_verified_at":"2026-10-31T13:38:56Z","board_verified":true,"closed_at":null,"days_open":3,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":3},"description":"We're looking for a hands-on Python Developers ready to take their career to new heights. Join the ranks of top talent at one of the world's most influential companies.\nAs a Senior Lead Software Engineer at JPMorgan Chase within the Athena Rates platform team, You’ll build Python tooling, improve platform capabilities, and partner closely with developers, quantitative teams, and production stakeholders. The work is varied and high-impact: cloud migrations, operating system and library upgrades, security-driven remediation, capacity planning, hygiene, database management and rapid production problem-solving. You’ll often deliver changes end to end, and sometimes coordinate with service owners to get outcomes landed. We use AI tooling daily to accelerate analysis and implementation, and progressing toward more agentic ways of working.\nJob responsibilities\nBuild and maintain Python tooling, services, and automation that support Athena Rates platform delivery and operations\nProvide platform guidance to developers and quantitative teams, including how to use infrastructure safely and effectively\nDesign and evolve APIs and interfaces that support application integrations\nDeliver capacity planning and performance analysis, translating findings into concrete engineering improvements\nExecute modernization work across Linux and cloud infrastructure, including migrations and replacement of end-of-life components\nPlan and deliver operating system, middleware, and library upgrades with strong change discipline and stakeholder alignment\nRemediate certificate, credential, and access issues through secure, repeatable processes and automation\nImprove platform hygiene and controls (for example, environment segregation and prevention of unsafe cross-environment usage)\nSupport production incidents at third-line level, providing rapid mitigation and leading long-term remediation\nLeverages enterprise-authorized AI coding assist tools within the work environment to improve code quality, delivery speed, and productivity (e.g., code generation/refactoring, unit test creation, documentation), while validating outputs through peer review, automated testing, and secure coding standards\nCoordinate across multiple teams and component owners to land outcomes when dependencies sit outside your direct control\nContribute to cost awareness by helping manage infrastructure usage, budget considerations, and efficiency opportunities\nRequired qualifications, capabilities and skills\nAdvanced Python software engineering experience delivering production-grade tooling and services\nStrong Linux systems knowledge, including troubleshooting performance, processes, services, and networking fundamentals\nExperience delivering controlled change in production environments (migrations, upgrades, platform hygiene, automation)\nExperience diagnosing complex production issues end to end, including stabilization and root-cause remediation\nExperience partnering with developers and production stakeholders to deliver enablement tooling and clear operating guidance\nExperience designing or supporting APIs and integrations used by downstream engineering or quantitative teams\nUnderstanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations\nHands-on experience using enterprise-authorized AI-assisted software development tools within the work environment (e.g., for coding, testing,\nWorking knowledge of SQL and familiarity with integrating across multiple data technologies (SQL and in-memory patterns)\nStrong ownership and problem-solving skills, with the ability to take ambiguous goals and drive them to completion\nClear written and verbal communication skills across technical and non-technical stakeholders\nPreferred qualifications, capabilities and skills\nExperience modernizing legacy integration mechanisms (for example, file transfer stacks and messaging components)\nFamiliarity with large-scale Red Hat Enterprise Linux estate upgrades and rollout strategies\nExperience building database hygiene tooling and operational guardrails integrated into application workflows\nExperience implementing secure credential management patterns (for example, vault migrations, key rotation automation)\nExperience upgrading batch scheduling or compute grid platforms and related tooling\nPractical experience with cloud infrastructure (for example, AWS) and operating hybrid estates\nDemonstrated use of AI tooling in daily engineering work to improve speed and quality\nExperience leading multi-workstream modernization portfolios driven by cyber 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