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Software Engineer III - Platform Enginner
JPMorgan Chase
Bengaluru, IND
Full-time
Mid · 3+ years experience
Onsite
Discovered 1 weeks ago
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- Executes software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or breakdown technical problems
- Creates secure and high-quality production code and maintains algorithms that run synchronously with appropriate systems
- Leverages enterprise-authorized AI coding assist tools within the work environment to improve code quality, delivery speed, and productivity across complex deliverables (e.g., code generation/refactoring, unit test creation, documentation), while validating outputs through peer review, automated testing, and secure coding standards; contributes learnings and reusable patterns to improve broader team effectiveness.
- Applies 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.
- Produces architecture and design artifacts for complex applications while being accountable for ensuring design constraints are met by software code development
- Gathers, analyzes, synthesizes, and develops visualizations and reporting from large, diverse data sets in service of continuous improvement of software applications and systems
- Proactively identifies hidden problems and patterns in data and uses these insights to drive improvements to coding hygiene and system architecture
- Formal training or certification on software engineering concepts and 3+ years applied experience
- Hands-on practical experience in system design, application development, testing, and operational stability
- Experience in developing, debugging, and maintaining code in a large corporate environment with one or more modern programming languages and database querying languages
- Hands on experience in Java/Python, Automation, AWS/Azure/Google cloud and monitoring tools like Dynatrace, Splunk, Prometheus/Grafana
- CI/CD & progressive delivery. End-to-end pipeline ownership — blue, green and cell-based rollouts, GitOps, artifact build, and orchestration (e.g., Spinnaker, Jenkins) — with strong safe-rollout and rollback judgment
- Production operational stability, SRE mindset. Incident response, root-cause analysis, resiliency, observability-driven debugging, reducing toil, and hardening production
- Hands-on experience using enterprise-authorized AI-assisted software development tools within the work environment (e.g., for coding, test creation, troubleshooting, or documentation) with demonstrated ability to critically evaluate, validate, and refine AI-generated outputs for correctness, performance, and security.
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