Lead Software Engineer - SRE Cloud Engineer

JPMorgan Chase & Co. • Columbus, OH

1d • $156,750 - $215,000

About The Position

As a Lead Software Engineer on JPMorgan Chase’s Corporate Technology Finance and Risk Warehouse SRE Team, you will solve complex business problems through software engineering and cloud infrastructure. You will configure, maintain, monitor, and optimize applications and their associated infrastructure, independently decomposing and iteratively improving existing solutions. The role supports reliability and operational outcomes, including production monitoring and incident response, and promotes SRE practices and enterprise-authorized AI-assisted engineering with appropriate validation and responsible-use standards.

Requirements

• Formal training or certification in software engineering concepts, with at least 5 years of applied experience.
• Strong analysis, research, investigation, and evaluation skills, with a structured approach to problem solving.
• Proficiency in at least one programming language such as Python, Java/Spring Boot, Scala, or .NET.
• Hands-on infrastructure-as-code experience using tools such as Terraform and AWS CDK.
• Experience developing and running data pipelines using PySpark, with good debugging skills.
• Experience managing and developing or deploying applications on private or public cloud.
• Working knowledge of Kubernetes, Docker, and other container technologies.
• Experience with monitoring and observability tools, including Dynatrace, OpenTelemetry (OTEL), Prometheus, Datadog, and Grafana, particularly dashboard development.
• Knowledge of Git, Bitbucket, Jenkins, SONAR, SPLUNK, Maven, AIM, and continuous delivery tools.
• Demonstrated experience using and leading effective use of enterprise-authorized AI-assisted software development tools for coding, code review, test acceleration, or troubleshooting in SRE workflows, with strong validation habits and the ability to set team expectations for validating correctness, performance, and security.
• Strong understanding of responsible AI use in engineering workflows, including data sensitivity, secure handling of inputs and outputs, and adherence to resiliency and security expectations; experience coaching engineers on safe, compliant adoption within delivery practices.

Nice To Haves

• Production working knowledge of Databricks and Apache Airflow on AWS.
• AWS, Databricks, or Terraform certification.
• Working knowledge of Control-M/Autosys and the Airflow scheduling package.
• UNIX file management and administration, and good shell scripting experience.
• Oracle (v9i/10/11/19c) running on Exadata, ANSI SQL, and PL/SQL stored procedure support or development.

Responsibilities

• Guide and assist others in developing appropriately scoped designs and gaining peer consensus where appropriate.
• Collaborate with software engineers and teams to design and implement deployment approaches using automated CI/CD pipelines.
• Collaborate with software engineers and teams to design, develop, test, and implement application availability, reliability, and scalability solutions.
• Implement infrastructure, configuration, and network as code for assigned applications and platforms.
• Work with technical experts, stakeholders, and team members to resolve complex problems.
• Use service level indicators and objectives to identify and resolve issues proactively before customer impact.
• Support adoption of site reliability engineering best practices within the team.
• Monitor and respond to production alerts, providing L1 and L2 support to minimize customer impact.
• Provide weekend and on-call production support as part of the team rotation.
• Drive adoption of enterprise-authorized AI-assisted engineering practices to improve code quality, delivery speed, and operational outcomes, while establishing consistent validation standards and promoting effective patterns.
• Use software development lifecycle toolchain capabilities, including authorized AI-assisted development and automation tools, to improve the value realized through automation.

Benefits

• Competitive total rewards package, with base salary determined by role, experience, skill set, and location.
• Eligible roles may receive commission-based pay and/or discretionary incentive compensation in the form of cash and/or forfeitable equity.
• Comprehensive health care coverage.
• On-site health and wellness centers.
• Retirement savings plan.
• Backup childcare.
• Tuition reimbursement.
• Mental health support.
• Financial coaching.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed