DevOps - Software Engineer III

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.
• Creates secure and high-quality production code and maintains algorithms that run synchronously with appropriate systems.
• Leverages enterprise-authorized AI coding assist tools within the work environment to improve code quality, delivery speed, and productivity across complex deliverables such as code generation, refactoring, unit test creation, and 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.
• Develops automation, scripts, and operational tooling using Java, Python, and UNIX/Bash to streamline build, deploy, support, and maintenance activities.
• Administers and troubleshoots Tomcat/Apache stacks, related middleware and infrastructure dependencies, and certificate lifecycle activities.
• Operates and improves monitoring, alerting, observability, and logging using Geneos, Dynatrace, Splunk, or equivalent platforms.
• Supports workload scheduling and batch operations using Auto Sys or similar scheduling platforms.

• Formal training or certification on software engineering concepts and 4+ years of 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.
• 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.
• Proficiency with Kubernetes, cloud platforms, Java and/or Python, and UNIX/Bash scripting.
• Experience with CI/CD tooling, preferably Jules – Enterprise CI/CD, and source control platforms such as Bitbucket or Git Hub.
• Experience using IDEs and development tools such as IntelliJ and VS Code.
• Working knowledge of Tomcat/Apache, certificate management, job scheduling with Auto Sys, and observability/logging platforms such as Geneos, Dynatrace, and Splunk.
• Demonstrated ability to improve operational stability through automation, documentation, monitoring improvements, preventative remediation, communication, escalation, and problem‑management skills.

• Experience supporting Pega Infinity applications.
• Experience supporting banking, payments, and/or payment investigations applications and workflows.
• Familiarity with enterprise change management, production support controls, and operational risk practices.
• Experience working in high‑availability, high‑volume, regulated technology environments.

Competitive total rewards package, including base salary determined by role, experience, skill set and location. Eligible roles may receive commission‑based pay and/or discretionary incentive compensation paid in cash and/or forfeitable equity. Additional benefits include comprehensive health care coverage, on‑site health and wellness centers, retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more.

JPMorgan Chase & Co. is an Equal Opportunity Employer, including Disability/Veterans. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs.