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.

Job responsibilities

- Executes standard software solution, design, development, and technical troubleshooting
- Writes secure and high-quality code using the syntax of at least one programming language with limited guidance
- Leverages enterprise-authorized AI coding assist tools within the work workplace 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.
- Designs, develops, codes, and troubleshoots with consideration of upstream and downstream systems and technical implications
- 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
- Applies technical troubleshooting to breakdown solutions and solve technical problems of basic complexity
- Gathers, analyzes, and draws conclusions from large, diverse data sets to identify problems and contribute to decision-making in service of secure, stable application development
- Learns and applies system processes, methodologies, and skills for the development of secure, stable code and systems

Required qualifications, capabilities, and skills

- Formal training or certification on software engineering concepts and 4+ years applied experience




- Foundational SRE/ops knowledge:Understanding of Linux fundamentals, networking basics (DNS, HTTP/S, TCP/IP), and how distributed systems fail (timeouts, retries, dependency issues).
- Programming/scripting ability:Ability to write and maintain automation in at least one language (e.g., Python, Java, Go, or Bash) plus comfort with Git and basic CI/CD concepts.
- Monitoring & troubleshooting skills:Hands-on experience with logs/metrics/traces, building dashboards/alerts, and using a structured approach (hypothesis-driven debugging, runbooks) to triage production issues.
- Cloud/container familiarity:Exposure to cloud platforms and modern runtime environments (containers, Kubernetes) and understanding of deployments, configuration, and secrets management .
- Baseline knowledge of software, applications and technical processes within a given technical discipline (e.g., cloud, artificial intelligence, Android, etc.)
- Proficiency in developmental toolsets
- Basic knowledge of industry-wide technology trends and best practices
- Working knowledge of using enterprise-authorized AI capabilities within the work environment to support software engineering workflows with strong validation habits and awareness of data sensitivity
- Ability to review and validate AI-assisted code and technical recommendations before use, escalating when uncertain and following security and data handling requirements

Preferred qualifications, capabilities, and skills

- Exposure to cloud technologies
- Experience with cloud platforms (e.g., AWS/Azure/Google Cloud) is a plus

📌 Software Engineer II-Java, Kubernetes (Bengaluru)
🏢 JP Morgan Chase
📍 Bengaluru