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Lead Site Reliability Engineer

JPMorgan Chase
Houston, USA
Full-time
Lead · 5+ years experience
Onsite
Discovered 6 days ago
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Full Job Posting

Job responsibilities

  • Consistently models and champions site reliability culture and practices, documents and shares knowledge within your organization via internal forums and communities of practice
  • Leads initiatives to improve the reliability and stability of your team’s applications and platforms using data-driven analytics to improve service levels, proactively identifying and solving technology-related bottlenecks in areas of expertise
  • Drives collaboration with your team to identify comprehensive service level indicators and the stakeholder partners to establish reasonable service level objectives and error budgets with your customers
  • Uses enterprise-authorized AI capabilities within the work environment to accelerate major-incident triage, troubleshooting, and post-incident analysis, validating outputs and handling operational data according to sensitivity and security requirements.
  • Serves as the main point of contact during major incidents for your application and has the skills to identify and solve the issue quickly to avoid financial loss to the business
  • Offers a high level of technical expertise within one or more technical domains and provides advice and mentorship to other engineers
  • Leads reuse-first adoption of AI-assisted reliability workflows across SDLC/toolchain practices (e.g., CI/CD quality checks, test/validation automation, and operational readiness), ensuring traceability/auditability, resiliency, and security controls.

Required qualifications, capabilities, and skills

  • A. Formal training or certification on site reliability engineering concepts and 5+ years applied experience ( NAMR/APAC – India/ LATAM/ Hong Kong) B. Formal training or certification on site reliability engineering concepts and advanced applied experience (EMEA/LATAM-Brazil) C. Singapore follow local country guidance
  • Demonstrated proficiency in reliability, scalability, performance, security, enterprise system architecture, toil reduction, and other site reliability best practices
  • Fluent in at least one programming language such as: Python, Java/Spring Boot,.Net
  • Demonstrated experience using enterprise-authorized AI capabilities within the work environment to improve SRE workflows (e.g., incident investigation support and knowledge capture) with strong validation habits and awareness of data sensitivity.
  • Ability to evaluate AI-assisted operational recommendations for correctness and risk, define appropriate guardrails for team usage, and ensure outcomes align to resiliency and security expectations.
  • Proficient knowledge and experience in observability such as white and black box monitoring, service level objective alerting, and telemetry collection
  • Proficient with continuous integration and continuous delivery practices and tooling
  • Proficient with container and container orchestration
  • Experience with troubleshooting common networking technologies and issues
  • Advanced knowledge of software applications and technical processes with emerging depth in one or more technical disciplines, and actively self-educates to evaluate and recommend suitable new technologies
  • A. Formal training or certification on site reliability engineering concepts and 5+ years applied experience ( NAMR/APAC – India/ LATAM/ Hong Kong)
  • B. Formal training or certification on site reliability engineering concepts and advanced applied experience (EMEA/LATAM-Brazil)
  • C. Singapore follow local country guidance

Preferred qualifications, capabilities, and skills

  • Current AWS credential (e.g., Cloud Practitioner, Solutions Architect, SysOps Administrator, or Developer) demonstrating working knowledge of core AWS services, cloud architecture patterns, security and identity fundamentals (IAM), networking basics (VPC), monitoring/logging, and cost-awareness best practices.
  • Recognized automation/DevOps credential (e.g., Kubernetes/containers, CI/CD, Infrastructure as Code, or site reliability)
  • Hands-on experience with AWS and/or other cloud platforms, plus containerization and orchestration technologies (e.g., Docker, Kubernetes, ECS).

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