DevOps Software Engineer III - CI/CD Release Automation

JPMorgan Chase & Co.; Tampa (FL); On-site; USD 120,000 - 170,000; Full time

Job summary

JPMorgan Chase & Co. is seeking a Software Engineer III to join the Corporate Investment Bank Payments Technology team in Tampa. This role contributes to designing and delivering trusted, scalable technology products with a focus on secure SDLC and CI/CD automation.

You will work within an agile environment to build and maintain production-grade code, pipelines, and deployment processes, collaborating across cybersecurity and engineering teams to embed controls and ensure reliability.

Qualifications

• Formal training or certification on Software Engineering concepts and 5+ years applied experience.
• Hands-on experience using enterprise AI-assisted software development tools with ability to evaluate outputs for correctness, performance, and security.
• Understanding of responsible AI use in engineering workflows, data sensitivity, and security expectations.
• Proficient in coding in one or more languages; strong Groovy and shell scripting for automation.
• Strong experience building and maintaining Jenkins CI solutions.
• Experience with continuous delivery tooling, including Spinnaker for pipelines.
• Hands-on AWS experience and cloud security fundamentals.
• Experience in developing, debugging, and maintaining code in a large corporate environment.
• Knowledge of SDLC and agile methodologies.
• Understanding of cloud technologies in enterprise environments.

Responsibilities

• Executes software solutions, design, development and troubleshooting with emphasis on CI/CD and release automation for Payments platforms.
• Creates secure and high-quality production code and Jenkins pipelines and shell scripts for build/test/deploy automation.
• Produces architecture and design artifacts for complex applications and ensures design constraints are met in code, pipelines, and deployments.
• Gathers and analyzes data to improve software via CI/CD telemetry and continuous improvement.
• Identifies hidden problems in data to drive improvements to coding hygiene, reliability, and reusable automation.
• Contributes to engineering communities exploring DevOps, cloud-native delivery, and secure SDLC practices.
• Leverages enterprise AI coding assist tools to improve code quality and delivery speed, validated by testing and peer review.
• Uses SDLC tools to improve automation value and efficiency.
• Supports end-to-end stability for delivery tooling including Jenkins and Spinnaker operations.
• Partners with cybersecurity teams to embed controls into pipelines for regulated workloads.

Skills

Groovy

Shell scripting

Jenkins CI

Spinnaker

AWS

CI/CD

DevOps

Secure SDLC

Education

Software Engineering certification

Tools

Terraform

CloudFormation

Ansible

Docker

Kubernetes

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 Corporate Investment Bank Payments 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.

Job responsibilities

• Executes software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems, with a focus on CI/CD and release automation for Payments platforms
• Creates secure and high-quality production code and maintains algorithms that run synchronously with appropriate systems, including Jenkins pipelines (Groovy/Jenkinsfiles/shared libraries) and shell scripting used for build/test/deploy automation
• Produces architecture and design artifacts for complex applications while being accountable for ensuring design constraints are met by software code development, including pipeline patterns, deployment strategies, and environment promotion approaches
• Gathers, analyzes, synthesizes, and develops visualizations and reporting from large, diverse data sets in service of continuous improvement of software applications and systems, including CI/CD telemetry (build times, failure rates, deployment success, rollback frequency)
• Proactively identifies hidden problems and patterns in data and uses these insights to drive improvements to coding hygiene and system architecture, including reducing pipeline flakiness, improving reliability, and standardizing reusable automation
• Contributes to software engineering communities of practice and events that explore new and emerging technologies, including modern DevOps, cloud-native delivery, and secure SDLC 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
• Supports end-to-end operational stability for delivery tooling, including Jenkins and Spinnaker administration/operations activities (as applicable), incident triage, root‑cause analysis, and continuous improvement
• Partners with cybersecurity and engineering teams to embed controls into pipelines (e.g., secrets handling, least‑privilege access, approvals, and auditability) for regulated Payments workloads

Required qualifications, capabilities, and skills

• Formal training or certification on Software Engineering concepts and 5+ years applied experience
• 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
• Proficient in coding in one or more languages; strong hands‑on capability with Groovy and shell scripting (Bash) for automation
• Strong experience building and maintaining Jenkins CI solutions (Jenkinsfiles, shared libraries, credentials usage, agent execution patterns)
• Experience with continuous delivery tooling, including Spinnaker (pipeline configuration, deployments, environment promotion, and rollback patterns)
• Hands‑on experience with AWS services and cloud security fundamentals (e.g., IAM, networking concepts, monitoring/logging, encryption/secrets patterns)
• Experience in developing, debugging, and maintaining code in a large corporate environment with one or more modern programming languages and database querying languages
• Overall knowledge of the Software Development Life Cycle
• Solid understanding of agile methodologies such as CI/CD, Application Resiliency, and Security
• Demonstrated knowledge of software applications and technical processes within a technical discipline (e.g., cloud)

Preferred qualifications, capabilities, and skills

• Exposure to cloud technologies (deep experience with AWS in multi‑account and/or regulated environments is a plus)
• Experience with infrastructure‑as‑code and configuration automation (e.g., Terraform/CloudFormation/Ansible)
• Experience with containers and orchestration (e.g., Docker, Kubernetes/EKS) and progressive delivery practices (e.g., blue/green, canary)
• Experience integrating security and quality gates into CI/CD (SAST/SCA, artifact signing, SBOM, policy checks)