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Cloud Software Engineer III

Job in Plano, Collin County, Texas, 75086, USA
Listing for: JPMorgan Chase & Co.
Full Time position
Listed on 2026-09-21
Job specializations:
  • Software Development
    AWS, Cloud Engineer - Software, DevOps
Salary/Wage Range or Industry Benchmark: 120000 - 180000 USD Yearly USD 120000.00 180000.00 YEAR
Job Description & How to Apply Below

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 JPMorgan

Chase within the Chief Technology Office (cto)
Enterprise Observability Platforms 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
  • Executes software solutions across design, development, and technical troubleshooting, thinking beyond routine or conventional approaches to build cloud and platform solutions and break down complex technical problems (including AWS infrastructure, Kubernetes, and hybrid integration).
  • Creates secure and high-quality production code and maintains algorithms/services that run synchronously with appropriate systems, including containerized runtimes on AWS.
  • Architects, builds, and maintains production infrastructure in AWS using Terraform, including secure-by-design provisioning, change management, and lifecycle operations for core services.
  • Manages, optimizes, and scales containerized environments leveraging AWS EKS/Kubernetes (and related orchestration, networking, load balancing, IAM/security, autoscaling, and production troubleshooting).
  • Develops backend automation tools, lightweight microservices, and internal APIs to streamline platform operations and infrastructure lifecycle management across cloud and hybrid environments.
  • Enhances observability, resilience, and throughput for high-volume enterprise telemetry/observability data pipelines running in the cloud; proactively identifies hidden problems and patterns in data to improve coding hygiene and system architecture.
  • Produces architecture and design artifacts for complex applications, ensuring design constraints are met by software code development; gathers, analyzes, synthesizes, and develops visualizations/reporting from large, diverse data sets in service of continuous improvement.
Required qualifications, capabilities, and skills
  • Formal training or certification on software engineering concepts and 3+ years applied experience.
  • Hands-on practical experience in system design, application development, testing, and operational stability, including production support for cloud-hosted services.
  • Experience in developing, debugging, and maintaining code in a large corporate environment with one or more modern programming languages and database querying languages, with emphasis on platform/infrastructure automation.
  • AWS architecture & core services — hands‑on experience building in AWS with services like VPC, EKS, IAM, S3, Lambda, Cloud Watch, KMS, ALB/NLB, Auto Scaling.
  • Hands‑on experience deploying and operating containerized workloads on AWS ECS and/or EKS, including service orchestration, networking/load balancing, IAM/security, autoscaling, and troubleshooting in production.
  • AWS networking — VPC design (subnets, route tables, NAT/IGW), security groups/NACLs, Private Link/VPC endpoints, hybrid connectivity concepts (VPN/Direct Connect), DNS (Route 53).
  • Terraform — authoring reusable modules, work spaces, remote state/backends, state management, imports, lifecycle/meta‑arguments, dependency design, and troubleshooting plans/applies for AWS resources.
  • Hands‑on experience using enterprise‑authorized AI‑assisted software development tools within the work environment (e.g., for coding, test creation, troubleshooting, or documentation), validating and refining outputs for correctness, performance, and security.
  • Understanding of responsible AI use in engineering workflows,…
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