About the role
from listingDesign and deliver market-leading technology products in a secure and scalable way as a seasoned member of an agile team
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 Commercial & Investment Bank, 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
Deliver end-to-end software solutions (design, development, troubleshooting) with strong problem decomposition and innovative thinking beyond routine approaches.
Build and maintain secure, high-quality production code, including synchronous integrations and algorithm maintenance.
Produce architecture/design artifacts for complex applications and ensure implementation adheres to design constraints.
Analyze large, diverse datasets to create insights, visualizations, and reporting that drive continuous improvement.
Proactively identify hidden issues/patterns and use them to improve coding hygiene, reliability, and system architecture.
Champion site reliability culture: define, educate, and operationalize SLOs/SLIs/error budgets with product, engineering, and stakeholders; monitor and review regularly.
Drive delivery excellence through self-learning, issue/blocker resolution, and robust change & release management practices.
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.
Lead cross-team operational responsibilities including hosting platform/infrastructure planning, data center migrations, partner engagements, audits/application hygiene, and contribute to engineering communities, knowledge sharing, and inclusive, resilient team culture.
Required qualifications, capabilities, and skills
Formal training or certification on software engineering concepts and 3+ years applied experience
Hands-on experience across system design, application development, testing, and production/operational stability.
Strong coding skills in one or more modern programming languages.
Proven ability to develop, debug, and maintain enterprise-scale code, including database querying. Solid understanding of the Software Development Life Cycle (SDLC) and end-to-end delivery.
Practical experience with Agile ways of working, including CI/CD, application resiliency, and security practices. Exposure to modern technical domains such as cloud, AI/ML, and/or mobile, and their supporting technical processes.
Excellent communication and stakeholder management, adapting messages for senior business and junior technologists.
Pragmatic mindset to drive technical re-engineering/modernization while continuing business delivery.
Deep expertise in SRE best practices: reliability, scalability, performance, security, enterprise architecture, and toil reduction; able to promote SRE culture within the team.
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.
Strong operational tooling knowledge: file transfers, SSL/certificates, load balancers, job scheduling, monitoring, backup/capacity, plus containers/orchestration (Docker/ECS/Kubernetes), CI/CD tools (Jenkins/GitLab/Terraform), and network troubleshooting; experience with enterprise-authorized AI-assisted dev tools and responsible AI use (validation, security, data sensitivity).