This Software Engineer III role at JPMorganChase, within the Asset and Wealth Management Technology and 55ip team, involves designing and delivering market-leading technology products securely and scalably. The role focuses on critical technology solutions across various business functions, serving as a seasoned member of an agile team.
Responsibilities
Develop automation tools and code scripts to set up and monitor infrastructure components and security configurations
Implement CI and CD pipelines, automating and improving the stability of the release process, and troubleshoot infrastructure and configuration issues across all environments
Provide technical support during software development and assist the development team in debugging environment-specific issues
Maintain and 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, ensuring an "ON" state for production, CERT, and testing environments at all times
Work with databases including PostgreSQL and MongoDB, and write scripts in Python and Bash for automation and operational tasks
Assist in cost rationalization exercises and 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
Leverage 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
Contribute learnings and reusable patterns to improve broader team effectiveness
Apply 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
Requirements
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
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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 and interpersonal skills and ability to explain protocol and processes to the team
Excellent diagnostic abilities, proactively identifying potential issues before they escalate
Nice to have:
Experience working with messaging and caching frameworks such as Kafka, RabbitMQ, and Redis
About the Company
JPMorganChase is a firm that offers exciting and rewarding opportunities for software engineering careers.
