Develop and maintain AWS infrastructure, automation tools, CI/CD pipelines, containerized applications, and Terraform-managed environments. Administer Linux systems, databases, monitoring platforms, and production infrastructure while troubleshooting configuration and deployment issues. Support development teams, optimize cloud costs, maintain asset inventories, and collaborate with architects. The role also requires responsible use of enterprise AI-assisted development tools, strong diagnostics, communication, and attention to security, resiliency, and operational stability.
We have an exciting and rewarding opportunity for you to take your software engineering career to the next level.
As a Software Engineer III at JPMorganChase within the Asset and Wealth Management Technology and 55ip team, you serve as a seasoned member of an agile team to design and deliver trusted market-leading technology products in a secure, stable, and scalable way. You are responsible for carrying out critical technology solutions across multiple technical areas within various business functions in support of the firm’s business objectives.
Job Responsibilities
- Develop automation tools / code scripts to stand-up and monitor infrastructure components and security configurations
- Implement CI and CD pipelines, thereby automating & improving stability of the release process, troubleshoot infrastructure and configuration issues across all environments.
- Provide technical support during software development. Assist development team in debugging environment specific issues
- Maintain & monitor asset inventory across all environments, Develop and maintain containerized applications using Docker
- Provision and manage infrastructure using advanced Terraform techniques, administer and optimize Linux-based environments. Ensure all-time “ON” state of production, CERT and testing environments
- Work with databases including PostgreSQL and MongoDB, and write scripts in Python and Bash for automation and operational tasks
- Assist in cost rationalization exercises, liaise with architects to gather and understand technical requirements
- Utilize development tools such as Git/BitBucket, Jira, ServiceNow, and pre-commit hooks for efficient workflow management, configure and implement AWS RDS and Aurora services using Terraform
- Monitor and troubleshoot systems using Splunk queries and monitoring tools such as Datadog, Dynatrace, or Grafana
- 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.
Required qualifications, capabilities, and skills
- Formal training or certification on software engineering concepts and 3+ years applied experience .
- Expertise in administration of AWS Services like EC2, ECS, ELB, S3, Lambda, Postgres RDS/Aurora, ElastiCache, CodeDeploy, and CloudWatch.
- Experience with CI/CD best practices and implementations, with tools such as Jules, Jenkins and Spinnaker.
- Strong background in AWS services, infrastructure provisioning, and automation, with a passion for delivering high-quality solutions in a collaborative environment.
- Efficient in communicating effectively with team members and stakeholders, demonstrating strong analytical and problem-solving skills.
- 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.
- Understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations; ability to guide peers on safe and effective usage within team practices.
- Ability to maintain a high level of attention to detail, accountability, and pride in delivering quality work.
- Strong communication & interpersonal skills and ability to explain protocol and processes to the team.
- Excellent diagnostic abilities, proactively identifying potential issues before they escalate.
Preferred qualifications, capabilities, and skills
Experience working with messaging and caching frameworks such as Kafka, RabbitMQ, and Redis
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What you need to know about the Pune Tech Scene
Once a far-out concept, AI is now a tangible force reshaping industries and economies worldwide. While its adoption will automate some roles, AI has created more jobs than it has displaced, with an expected 97 million new roles to be created in the coming years. This is especially true in cities like Pune, which is emerging as a hub for companies eager to leverage this technology to develop solutions that simplify and improve lives in sectors such as education, healthcare, finance, e-commerce and more.
