{"id":3961587,"url":"https://alion.io/job/jpmorganchase-software-engineer-ii-srejava-engineer","title":"Software Engineer II - SRE/Java 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":"DevOps","role_family":"DevOps","seniority":"middle","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Bengaluru, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":3,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Bitbucket","optional":false},{"name":"CI/CD","optional":false},{"name":"Docker","optional":false},{"name":"Dynatrace","optional":false},{"name":"GitLab","optional":false},{"name":"Grafana","optional":false},{"name":"Incident Management","optional":false},{"name":"Java","optional":false},{"name":"Jenkins","optional":false},{"name":"Prometheus","optional":false},{"name":"Spinnaker","optional":false},{"name":"Splunk","optional":false},{"name":"Spring Boot","optional":false},{"name":"Terraform","optional":false},{"name":"Progressive Delivery","optional":true},{"name":"SLI/SLO/SLA","optional":true}],"status":"live","first_seen_at":"2026-11-09T10:45:07Z","employer_posted_date":"2026-11-09","last_verified_at":"2026-11-09T12:03:31Z","board_verified":true,"closed_at":null,"days_open":0,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":0},"description":"You’re ready to gain the skills and experience needed to grow within your role and advance your career - and we have the perfect software engineering opportunity for you.\nAs a Software Engineer II at JPMorganChase within the Commercial & Investment Bank- Payments Technology team, you are part of an agile team that works to enhance, design, and deliver the software components of the firm’s state-of-the-art technology products in a secure, stable, and scalable way. As an emerging member of a software engineering team, you execute software solutions through the design, development, and technical troubleshooting of multiple components within a technical product, application, or system, while gaining the skills and experience needed to grow within your role.\nJob responsibilities\nExecutes standard software solution, design, development, and technical troubleshooting\nWrites secure and high-quality code using the syntax of at least one programming language with limited guidance\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.\nDesigns, develops, codes, and troubleshoots with consideration of upstream and downstream systems and technical implications\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\nApplies technical troubleshooting to breakdown solutions and solve technical problems of basic complexity\nGathers, analyzes, and draws conclusions from large, diverse data sets to identify problems and contribute to decision-making in service of secure, stable application development\nLearns and applies system processes, methodologies, and skills for the development of secure, stable code and systems\nRequired qualifications, capabilities, and skills\nFormal training or certification on software engineering concepts and 3+ years applied experience.\n\nSRE mindset and working knowledge of reliability principles, including availability, scalability, incident management, and iterative improvement\n\nProficiency in at least one programming language such as Java/Spring Boot\n\nExperience maintaining a Cloud-base infrastructure\n\nFamiliar with observability such as white and black box monitoring, service level objective alerting, and telemetry collection/visualization using tools such as Grafana, Dynatrace, Prometheus, Phoenix, Splunk, OpenTelemtry and others\n\nFamiliarity with containers and orchestration technologies such as Docker or Amazon Elastic Container Service\n\nEmerging knowledge of software, applications and technical processes within a given technical discipline (e.g., Cloud, artificial intelligence, etc.)\n\nEmerging knowledge of continuous integration and continuous delivery tools (e.g., Jenkins, Jules, Spinnaker, BitBucket, GitLab, Terraform, etc.)\n\nExperience in developing, debugging, and maintaining code in a large corporate environment with one or more modern programming languages and database querying languages\nHands-on experience using enterprise-authorized AI-assisted software development tools within the work environment (e.g., for coding, testing, troubleshooting, or documentation) with demonstrated ability to critically evaluate and validate AI-generated outputs.\nUnderstanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations.\n\nPreferred qualifications, capabilities, and skills\nExperience designing reliability improvements using error budgets, capacity planning, and resilience patterns (e.g., rate limiting, backpressure, graceful degradation)\n\nExperience improving release safety with progressive delivery practices (e.g., canary deployments, feature flags, automated rollbacks)\n\nExperience implementing automated quality gates (unit, integration, performance, and security testing) within delivery pipelines\n\nExposure to incident management practices, post-incident reviews, and implementing measurable remediation actions to prevent recurrence\n\nFamiliarity with infrastructure-as-code and standardized 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