DevOps AWS Software Engineer III

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 will help build, operate, and scale AWS-based production environments (with a focus on EKS/ECS), support secure edge delivery via Akamai, and enable the deployment and ongoing operation of AI enabled services/workflows. You will be a key contributor to reliability, observability, automation, and operational excellence.
Job Responsibilities
Executes software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or breakdown technical problems
Manage, scale, and troubleshoot AWS infrastructure, focusing on containerized workloads running on EKS and ECS. Provision and maintain infrastructure using Terraform to ensure repeatable, standards-based deployments across environments. Support and improve CI/CD pipelines for application and AI-enabled feature releases (deployment automation, rollback support, and environment promotion). Collaborate with engineering teams to implement operational best practices (health checks, readiness, scaling, and resiliency patterns).
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.
Administer and optimize Akamai CDN configurations for performance, caching, and edge troubleshooting. Implement and maintain Akamai Client Side Protection (CSP) configurations and support web security controls to reduce client-side threats (e.g., XSS/data exfiltration). Support certificate lifecycle activities (CSR generation, SAN/hostname validation, chain deployment, renewal coordination) and schedule changes to minimize downtime. Follow secure operational practices around secrets handling, access controls, and vulnerability remediation coordination
Build and maintain dashboards and alerts using tools such as Splunk and metrics-based monitoring to improve early detection and reduce false positives. Participate in incident response: triage, escalation, mitigation, stakeholder updates, and post-incident follow-ups. Contribute to root cause analysis (RCA) and implement preventative fixes to reduce recurrence. Create and maintain operational documentation (runbooks, SOPs, on-call playbooks).
Support change management: peer reviews, risk awareness, pre/post checks, and safe execution during maintenance windows. Working knowledge of incident and change management practices (ITSM mindset, clear comms, disciplined execution).
Required qualifications, capabilities, and skills
Formal training or certification on software engineering concepts and 3+ years applied experience.
Hands-on experience with AWS and container platforms (EKS and/or ECS).
Experience using Terraform (or comparable IaC) for provisioning and managing infrastructure.
Strong troubleshooting skills across Linux, networking fundamentals, and application/runtime behaviors.
Working knowledge of incident and change management practices (ITSM mindset, clear comms, disciplined execution).
Scripting/automation experience (e.g., Bash, Python, Perl) and CI/CD tooling exposure.
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.
Solid understanding of agile methodologies such as CI/CD, Application Resiliency, and Security
Preferred qualifications, capabilities, and skills
Hands-on practical experience delivering system design, application development, testing, and operational stability
Experience with Splunk (search, dashboards, alert tuning, log onboarding).
Hands-on experience with Akamai (CDN configs, caching strategy, edge troubleshooting) and CSP implementation.
Proficiency in automation and continuous delivery methods
Familiarity with operating AI-enabled services or pipelines, including basic concepts around model/service rollouts and monitoring.
AWS certification(s) (Cloud Practitioner or higher).