Software Engineer III,Python/AWS, AWS,CI/CD, Kubernetes

About the role

**JOB 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 Consumer and Community Banking, 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**

* Certifications: AWS Associate Architect/Developer; Certified Kubernetes Application Developer (CKAD). * Design and develop efficient, unit\-tested code aligned to business requirements. * Ensure reliability, scalability, and performance for AI\-assisted applications and platform operations. * Design and implement AI\-driven AIOps solutions (intelligent alerting, noise reduction, auto\-correlation). * 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 * Build and maintain observability (monitoring, alerting, telemetry) for AI platforms and applications. * Build and support automation for anomaly detection, alerting, and self\-healing workflows. * Drive delivery and operational excellence by defining/executing the AI\-assisted SRE roadmap, mentoring engineers, managing dependencies, and partnering with global stakeholders while meeting SLAs, compliance, and business requirements.

**Required qualifications, capabilities, and skills**

* Software engineering foundation: Formal training/certification with 5\+ years applied experience; strong Agile delivery and ability to multitask/operate independently. * Java expertise: Core/EE with Spring Boot, Spring MVC, Spring Cloud (build and support microservices/distributed systems). * SRE/DevOps/Platform Engineering: Demonstrated hands\-on experience improving reliability, operations, and platform capabilities. * AWS cloud proficiency: Strong hands\-on across ECS, Lambda, API Gateway, Bedrock, CloudWatch, RDS, EKS and broader AWS infrastructure solutions. * 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 * LLM integrations: Hands\-on experience with AWS and LLM APIs. * Observability: Expertise with OpenTelemetry, Grafana, Prometheus, ELK, CloudWatch. * Delivery engineering: CI/CD tooling (GitHub Actions, Jenkins, Spinnaker; Git/Bitbucket, Maven, Sonar) plus scripting (Bash/PowerShell) and testing frameworks (JUnit, Selenium, Cucumber, Mockito). * Preferred qualifications, capabilities, and skills * Familiarity with modern front\-end technologies * Exposure to cloud technologies

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