Kubernetes

JPMorgan Chase & Co.•Chicago, IL

3h•$99,750 - $125,000

About The Position

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 Global Banking Technology, 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.

Requirements

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
Experience in developing, debugging, and maintaining code in a large corporate environment with one or more modern programming languages and database querying languages
Proficiency in Java for backend development with demonstrated experience building and maintaining scalable, production-grade applications
Hands-on experience with React for building dynamic, responsive, and user-facing front-end applications
Demonstrated experience with Oracle database development including data modeling, query optimization, and stored procedure development
Hands-on experience with Kafka for building event-driven, real-time data streaming solutions in a production environment
Experience deploying and managing containerized workloads using Kubernetes in a production or enterprise environment
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
Overall knowledge of the Software Development Life Cycle
Solid understanding of agile methodologies such as CI/CD, Application Resiliency, and Security

Nice To Haves

Experience applying structured critical thinking and advanced problem-solving methodologies to diagnose and resolve complex, ambiguous technical challenges in a large enterprise environment
Familiarity with cloud-based platforms and services, particularly AWS (e.g., S3, Lambda, EC2, or equivalent), to complement containerized and on-premise architectures
Exposure to infrastructure-as-code tools such as Terraform or Helm for managing Kubernetes deployments and cloud infrastructure
Experience working within financial services or highly regulated enterprise environments with a strong understanding of data security and compliance requirements
Knowledge of distributed systems design patterns, microservices architecture, and API development best practices

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
Creates secure and high-quality production code and maintains algorithms that run synchronously with appropriate systems, leveraging Java for backend development and React for modern, responsive front-end experiences
Design and implement event-driven architectures and real-time data streaming solutions using Kafka to support high-throughput, low-latency financial data processing at enterprise scale
Build, deploy, and manage containerized applications using Kubernetes, ensuring platform reliability, scalability, and operational stability across production environments
Develop and optimize data models, queries, and stored procedures using Oracle to support complex financial data requirements and reporting needs
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.
Produces architecture and design artifacts for complex applications while being accountable for ensuring design constraints are met by software code development
Gathers, analyzes, synthesizes, and develops visualizations and reporting from large, diverse data sets in service of continuous improvement of software applications and systems
Proactively identifies hidden problems and patterns in data and uses these insights to drive improvements to coding hygiene and system architecture