{"id":2295210,"url":"https://alion.io/job/jpmorganchase-lead-software-engineer-aws-sre","title":"Lead Software Engineer - AWS SRE","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":1024,"ghost_share":0.012,"stale_share":0.615,"repost_share":0.047,"time_to_fill_p50_days":15,"computed_at":"2026-11-10T06:52:35Z"}},"role":"DevOps","role_family":"DevOps","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":["Hyderabad, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AWS","optional":false},{"name":"SLI/SLO/SLA","optional":false}],"status":"closed","first_seen_at":"2026-10-11T15:58:52Z","employer_posted_date":"2026-10-11","last_verified_at":"2026-10-28T13:05:57Z","board_verified":false,"closed_at":"2026-10-28T13:05:57Z","days_open":16,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":16},"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 Senior Software Engineer at JPMorgan Chase within the Consumer and community banking technology team, 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\nDive into Live Site Management and cloud production management practices, including production readiness, change governance, incident response, problem management, and operational risk reduction.\nDefine and improve SRE practices, including service-level indicators, service-level objectives, error budgets, capacity planning, and reliability engineering.\nAdvance observability across applications and infrastructure through effective logging, metrics, distributed tracing, dashboards, alerting, and automated anomaly detection.\nDrive major incident response, root-cause analysis, corrective actions, and the systematic elimination of recurring production issues.\nEstablish production health, availability, performance, and resiliency measures that provide actionable insight to engineering and business leadership.\nPromote team adoption of enterprise-authorized AI-assisted engineering practices within the work environment to improve code quality, delivery speed, and operational outcomes, while establishing consistent validation standards and promoting reuse of effective patterns across the team.\nApply knowledge of tools within the Software Development Life Cycle toolchain, including enterprise-authorized AI-assisted development and automation capabilities, to improve the value realized through automation.\nShape the end-to-end AWS cloud architecture strategy across all product components.\nStrengthen cloud cost strategy and optimization across the product.\nRequired Qualifications, Capabilities, and Skills\nFormal training or certification on software engineering concepts and 5+ years applied experience\nDeep, broad AWS expertise across compute, data, networking, security, and observability, with proven production architecture experience.\nSystems thinking, including the ability to reason about trade-offs, failure modes, and dependencies across an entire product.\nStrategic command of cost, scalability, automation, reliability, and AI integration as connected levers.\nHands-on depth to validate and prototype ideas, not just advise.\nProven experience managing cloud-hosted production services and leading Live Site Management practices in complex, business-critical environments.\nStrong SRE and observability expertise, including SLI/SLO definition, error budgets, telemetry, distributed tracing, alert design, capacity management, and performance engineering.\nDemonstrated ability to lead high-severity incident response, perform root-cause analysis, and drive durable remediation across multiple engineering teams.\nExperience establishing production readiness standards, operational controls, runbooks, dashboards, and measurable service health objectives.\nDemonstrated experience leading effective use of approved AI-assisted software development tools, 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, secure handling of inputs and outputs, and adherence to resiliency and security expectations; 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