Cloud Software Engineer III

Fairygodboss; Plano (TX); On-site; USD 120,000 - 180,000; Full time

Job summary

JPMorganChase is seeking a Software Engineer III in Plano, TX to join the Chief Technology Office's Enterprise Observability Platforms team. You will design and deliver trusted, scalable technology products in a secure cloud environment, and support production systems across AWS, Kubernetes, and hybrid architectures.

You will architect, build, and maintain production infrastructure with Terraform and containerized services, drive observability improvements, and contribute to security-focused

Qualifications

• 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.

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.

Skills

AWS

Kubernetes

Terraform

CI/CD

Security best practices

Agile methodologies

Production support

Tools

Confluent Kafka

AWS MSK

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.

ABOUT US

JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world's most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.

We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on‑site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process.

We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.

JPMorgan Chase & Co. is an Equal Opportunity Employer, including Disability/Veterans

ABOUT THE TEAM

Our professionals in our Corporate Functions cover a diverse range of areas from finance and risk to human resources and marketing. Our corporate teams are an essential part of our company, ensuring that we're setting our businesses, clients, customers and employees up for success.