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Principal Software Engineer - Python/Java, AWS, Microservices

JPMorgan Chase
Bengaluru, IND
Full-time
Senior · 15+ years experience
Onsite
Discovered 6 days ago
awsdockerhadoopjavakubernetespython

Full Job Posting

Job responsibilities

  • Leads the end-to-end design, development, and deployment of the Interest Rate Risk platform, ensuring scalability, reliability, and security
  • Architects cloud-native solutions using AWS services and modern DevOps practices
  • Develops robust, high-performance applications, focusing on data processing, analytics, and integration with enterprise systems
  • Collaborates with cross-functional teams, including Risk, Finance, Data Engineering, and Infrastructure, to gather requirements and deliver solutions
  • Creates durable, reusable software frameworks that are leveraged across teams and functions
  • Establishes and enforce engineering best practices for code quality, testing, CI/CD, and documentation
  • Mentors and guide engineering teams, fostering a culture of technical excellence and continuous improvement
  • Ensures compliance with regulatory requirements and internal risk management policies
  • Influences leaders and senior stakeholders across business, product, and technology teams
  • Architects and governs agentic AI-enabled engineering workflows (using enterprise-authorised tools within the work environment) to improve delivery speed, code quality, and operational outcomes at scale (e.g., AI-driven PR review assistance, test generation/maintenance, release readiness checks, incident triage and root-cause acceleration), while defining guardrails for validation, security, resiliency, and reuse across teams
  • Applies knowledge of tools within the Software Development Life Cycle toolchain, including enterprise-authorised AI-assisted development and automation capabilities, to improve the value realised by automation at scale

Required qualifications, capabilities, and skills

  • 10+ years relevant experience while having an overall of min 15+ years of technology experience
  • Prior experience delivering large-scale, mission-critical platforms with deep expertise in AWS cloud services and architecture
  • Advanced proficiency in Python or Java, including experience with data processing frameworks and libraries
  • Experience with microservices, API design, data pipelines and distributed systems
  • Familiarity with DevOps tools and practices (e.g., Docker, Kubernetes, Terraform, CI/CD pipelines)
  • Excellent problem-solving, analytical, and communication skills
  • Demonstrated ability to lead and mentor engineering teams
  • Experienced and comfortable with data and analytics
  • Demonstrated experience designing and leading adoption of agentic AI-enabled development practices (using enterprise-authorised tools within the work environment) across teams, including setting standards for human-in-the-loop validation, auditability/traceability of changes, and secure handling of sensitive data
  • Strong understanding of responsible AI use and control expectations in engineering workflows, including security/resiliency implications, data sensitivity, and risk-based governance; ability to influence senior technical leaders on safe scaling pattern

Preferred qualifications, capabilities, and skills

  • Strong understanding of risk management concepts, preferably within the financial services industry.
  • Experience in Orchestration
  • Experience with big data technologies (e.g., Spark, Hadoop) and data visualisation tools.

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