JPMorgan Chase—Software Engineer III - DevOps

Job description

Description: 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