Cloud Software Engineer III

JPMorgan Chase & Co.; Plano (TX); On-site; USD 120,000 - 180,000; Full time

Job summary

JPMorgan Chase & Co. is seeking a Software Engineer III to join the CTO Enterprise Observability Platforms team in Plano, TX.

You will design and deliver secure, scalable technology products and own critical cloud and platform services across multiple business functions. You will contribute to AWS-based infrastructure, container orchestration, and automation tools, while ensuring production stability and high observability for large telemetry pipelines.

Qualifications

• Formal training or certification in software engineering concepts and 3+ years applied experience.
• Hands-on system design, development, testing, and production stability including cloud-hosted services.
• Experience in large corporate environments with modern programming languages and database querying languages, with emphasis on platform/infrastructure automation.
• AWS architecture & core services — hands-on experience with VPC, EKS, IAM, S3, Lambda, CloudWatch, KMS, ALB/NLB, Auto Scaling.
• Experience deploying containerized workloads on AWS ECS and/or EKS, including service orchestration, networking/load balancing, IAM/security, autoscaling, production troubleshooting.
• AWS networking — VPC design, security groups/NACLs, PrivateLink/VPC endpoints, DNS, hybrid connectivity concepts.
• Terraform — modules, workspaces, remote state, state management, lifecycle, dependencies, troubleshooting.
• Experience using AI-assisted tools for coding, testing, troubleshooting, or documentation and ensuring secure use.
• Understanding of responsible AI use and secure handling of data in engineering workflows.
• Familiarity with CI/CD, application resiliency, security, and hybrid transport across environments.

Responsibilities

• Executes software solutions across design, development, and troubleshooting, including cloud and platform solutions in AWS and hybrid environments.
• Produces secure, high-quality production code and maintains containerized runtimes on AWS.
• Architects, builds, and maintains production infrastructure in AWS using Terraform with secure provisioning and lifecycle management.
• Manages and scales containerized environments leveraging AWS EKS/Kubernetes, including autoscaling and production troubleshooting.
• Develops backend automation tools, microservices, and internal APIs to streamline platform operations and infrastructure lifecycle.
• Enhances observability and throughput for high-volume telemetry data pipelines in the cloud and across environments.
• Produces architecture and design artifacts and develops visualizations/reporting from large data sets for continuous improvement.

Skills

Agile methodologies

Tools

AWS

Kubernetes

EKS

ECS

Terraform

CI/CD tooling

VPC design

Route 53

Kafka/MSK

Schema Registry

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 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, CloudWatch, 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, PrivateLink/VPC endpoints, hybrid connectivity concepts (VPN/Direct Connect), DNS (Route 53).
• Terraform — authoring reusable modules, workspaces, 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, 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.
• Overall knowledge of the Software Development Life Cycle toolchain, including enterprise‑authorized AI‑assisted development and automation capabilities, to improve the value realized by automation.
• Solid understanding of agile methodologies such as CI/CD, application resiliency, and security; partners effectively with on‑premises platform engineers to ensure seamless hybrid transport and integration across environments.

Preferred qualifications, capabilities, and skills

• Familiarity with messaging systems like Confluent Kafka and AWS MSK and related components such as Kafka Streams, Connect, and Schema Registry. Confluent Kafka and AWS MSK and related components such as Kafka Streams, Connect, and Schema Registry.
• Familiarity with building/operating streaming and telemetry pipeline systems (e.g., Kafka/MSK‑based) to support high‑throughput observability data ingestion, processing, and delivery.