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SRE Software Engineer III

JPMorgan Chase
Jersey City, USA
Full-time
Mid · 3+ years experience
Onsite
Discovered 2 weeks ago
datadogdockerdynatracegrafanajavajenkins

Full Job Posting

Job 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 availability, reliability, scalability, and operational readiness of applications and services
  • Partner with engineers, technical experts, and key stakeholders to troubleshoot and resolve complex, multi-system problems to restore service and prevent recurrence
  • Define and use service level indicators and service level objectives to proactively identify risk, prioritize reliability improvements, and reduce customer impact
  • Advance observability practices by improving telemetry, dashboards, and alerting to shorten time-to-detect and time-to-recover
  • Improve operational excellence through runbooks, automation, and continuous improvement actions that reduce toil and production risk
  • 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.

Required Qualifications, Capabilities, and Skills

  • Formal training or certification on software engineering concepts and 3+ years 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 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.

Preferred Qualifications, Capabilities, and Skills

  • Experience designing reliability improvements using error budgets, capacity planning, and resilience patterns (e.g., rate limiting, backpressure, graceful degradation)
  • Experience improving release safety with progressive delivery practices (e.g., canary deployments, feature flags, automated rollbacks)
  • Experience implementing automated quality gates (unit, integration, performance, and security testing) within delivery pipelines
  • Exposure to incident management practices, 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

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