JP Morgan Chase

Runs a consumer bank and an investment bank

Cloud Software Engineer 3

Cloud EngineeringConfirmed live in the last 24 hours

Full-timePlano, TX, USANo salary listedIn-person

About the Job

Requirements

Formal training or certification in software engineering concepts and at least 3 years of applied experience.
Practical experience in system design, application development, testing, operational stability, and production support for cloud-hosted services.
Experience developing, debugging, and maintaining code in a large corporate environment using one or more modern programming languages and database querying languages, with emphasis on platform and infrastructure automation.
Hands-on experience building in AWS with core services such as VPC, EKS, IAM, S3, Lambda, CloudWatch, KMS, ALB/NLB, and Auto Scaling.
Hands-on experience deploying and operating containerized workloads on AWS ECS and/or EKS, including service orchestration, networking and load balancing, IAM and security, autoscaling, and production troubleshooting.
Knowledge of AWS networking, including VPC design with subnets, route tables, and NAT/IGW; security groups and NACLs; PrivateLink and VPC endpoints; hybrid connectivity concepts such as VPN and Direct Connect; and DNS with Route 53.
Experience authoring reusable Terraform modules and using workspaces, remote state and backends, state management, imports, lifecycle and meta-arguments, dependency design, and troubleshooting plans and applies for AWS resources.
Hands-on experience using enterprise-authorized AI-assisted software development tools for coding, test creation, troubleshooting, or documentation, and validating and refining outputs for correctness, performance, and security.
Understanding of responsible AI use in engineering workflows, including data sensitivity, secure handling of inputs and outputs, and adherence to resiliency and security expectations; ability to guide peers on safe and effective use within team practices.
Knowledge of the Software Development Life Cycle toolchain, including enterprise-authorized AI-assisted development and automation capabilities.
Understanding of agile methodologies such as CI/CD, application resiliency, and security, and ability to partner with on-premises platform engineers on hybrid transport and integration across environments.

Responsibilities

Execute software solutions across design, development, and technical troubleshooting, using approaches beyond routine solutions to build cloud and platform solutions and address complex technical problems, including AWS infrastructure, Kubernetes, and hybrid integration.
Create secure, high-quality production code and maintain algorithms and services that run synchronously with appropriate systems, including containerized runtimes on AWS.
Architect, build, and maintain production infrastructure in AWS using Terraform, including secure-by-design provisioning, change management, and lifecycle operations for core services.
Manage, optimize, and scale containerized environments using AWS EKS/Kubernetes and related orchestration, networking, load balancing, IAM and security, autoscaling, and production troubleshooting.
Develop backend automation tools, lightweight microservices, and internal APIs to streamline platform operations and infrastructure lifecycle management across cloud and hybrid environments.
Enhance observability, resilience, and throughput for high-volume enterprise telemetry and observability data pipelines running in the cloud; identify hidden problems and patterns in data to improve coding hygiene and system architecture.
Produce architecture and design artifacts for complex applications, ensuring design constraints are met through software code development; gather, analyze, synthesize, and develop visualizations and reporting from large, diverse data sets for continuous improvement.

Desired Qualifications

Familiarity with messaging systems such as Confluent Kafka and AWS MSK, including Kafka Streams, Connect, and Schema Registry.
Familiarity with building and operating streaming and telemetry pipeline systems, such as Kafka/MSK-based systems, for high-throughput observability data ingestion, processing, and delivery.

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 the Company

JP Morgan Chase

Runs a consumer bank and an investment bank

JPMorgan Chase runs the largest bank in the United States, which serves households and small businesses as Chase and large companies, governments, and investors as J.P. Morgan. During the 2008 financial crisis it bought the failing investment bank Bear Stearns and lender Washington Mutual, and in 2023 it took over First Republic Bank after regulators seized it. Chase takes deposits and earns interest on credit cards, mortgages, and car loans, while the investment side earns fees for advising on mergers, raising money for companies, trading stocks and bonds, and managing wealth. Formed in a 2000 merger, JPMorgan Chase traces its roots to 1799 and is based in New York City.

Company size: 10,001+
Company stage: IPO
Headquarters: New York City, New York
Founded: 1799

Recently Posted Jobs

Explore more opportunities at JP Morgan Chase

See more jobs