SRE Software Engineer III

JPMorgan Chase & Co. • Jersey City, NJ

1d • $137,750 - $185,000

About The Position

As an SRE Software Engineer III at JPMorganChase within Corporate Technology, you will build and operate resilient software solutions that improve availability, scalability, and customer experience. You will collaborate across engineering and stakeholder groups to design automated delivery approaches, apply site reliability principles, and resolve complex issues before they affect users. The role includes developing software and delivery pipelines, strengthening observability and operational practices, and using enterprise-authorized AI-assisted development tools responsibly. JPMorganChase is a financial institution serving consumers, businesses, and institutional and government clients. The company describes its corporate functions as supporting areas including finance, risk, human resources, and marketing.

Requirements

• Formal training or certification in software engineering concepts and at least 3 years of applied experience.
• Proficiency in site reliability culture and principles, including applying reliability practices within an application or platform.
• Proficiency in at least one programming language, such as Python, Java/Spring Boot, or .NET.
• Experience building observability solutions, including telemetry collection and service-level-objective-based alerting, using tools such as Grafana, Dynatrace, Prometheus, Datadog, or Splunk.
• Experience with continuous integration and continuous delivery tools such as Jenkins, GitLab, or Terraform.
• Familiarity with containers and orchestration technologies such as Docker, Kubernetes, or Amazon Elastic Container Service.
• Working knowledge of diagnosing and troubleshooting common networking concepts and issues in distributed systems.
• Ability to proactively remove blockers, learn new technologies, and apply new approaches to improve delivery outcomes.
• Working knowledge of enterprise-authorized AI-assisted software development tools for coding, testing, troubleshooting, or documentation, and ability to critically evaluate, validate, and refine generated outputs for correctness, performance, and security.
• Understanding of responsible AI use in engineering workflows, including data sensitivity, secure handling of inputs and outputs, and adherence to resiliency and security expectations; ability to guide peers on safe and effective use.

Nice To Haves

• Experience designing reliability improvements using error budgets, capacity planning, and resilience patterns such as rate limiting, backpressure, and graceful degradation.
• Experience improving release safety with progressive delivery practices such as canary deployments, feature flags, and automated rollbacks.
• Experience implementing automated quality gates for unit, integration, performance, and security testing within delivery pipelines.
• Exposure to incident management, post-incident reviews, and implementing measurable remediation actions to prevent recurrence.
• Familiarity with infrastructure as code and standardized environment provisioning to improve consistency and auditability.

Responsibilities

• Design and implement automated continuous integration and continuous delivery pipelines to improve release quality, speed, and repeatability.
• Develop, test, and deliver software solutions that strengthen application and service availability, reliability, scalability, and operational readiness.
• Partner with engineers, technical experts, and stakeholders to troubleshoot complex multi-system problems, restore service, and prevent recurrence.
• Define and use service level indicators and service level objectives to identify risk, prioritize reliability improvements, and reduce customer impact.
• Improve telemetry, dashboards, and alerting to shorten time to detect and recover from issues.
• Improve operational excellence through runbooks, automation, and continuous improvement that reduce toil and production risk.
• Use enterprise-authorized AI coding assistance to improve code quality, delivery speed, and productivity; validate outputs through peer review, automated testing, and secure coding standards, and share reusable practices.
• Apply software development life cycle tools, including authorized AI-assisted development and automation capabilities, to improve automation outcomes.

Benefits

• 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 in 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: Mid Level
• Education Level: No Education Listed