Manager, Servicenow Sre Engineer

Manager, ServiceNow SRE Engineer responsible for platform operations, stability, resilience, and automated optimizations. Hands-on contributor focused on system integrity, problem-solving through automation, and driving operational excellence. Emphasizes modern SRE practices, customer-centric engineering, and cross-functional collaboration.

What you'd actually do

  1. Owns and drives cost-effective solutions for platform operations, focusing on stability, resilience, and automated optimizations to reduce maintenance costs and meet business KPIs.
  2. Champions modern SRE practices, ensuring alignment with business goals and operational standards. Responsible for requirement analysis, automation, integration, monitoring, and ongoing support.
  3. Hands-on contributor who maintains system integrity, solves complex problems through automation and predictive analytics, engineers modern solutions, and drives operational excellence.
  4. Develop lean engineering solutions through rapid, inexpensive experimentation to solve customer needs. Engage with customers and product teams to deliver the right solution for the product in the right way at the right time, quickly responds to incidents, and engages with stakeholders to deliver timely operational fixes.
  5. Exhibit a mindset that favors action and evidence over extensive planning. Utilize a leaning-forward approach to navigate complexity and uncertainty, delivering lean, supportable, and maintainable solutions.

Skills

Required

  • ServiceNow
  • SRE
  • Software Engineering
  • Observability
  • Automation
  • SLAs
  • Agile
  • DevSecOps
  • CI/CD
  • Blue-Green deployments
  • Canary deployments
  • A/B testing
  • Root-cause analysis
  • Communication skills

Nice to have

  • predictive analytics

What the JD emphasized

  • high-quality, modern observability practices
  • SLAs
  • modern SRE practices
  • automation
  • predictive analytics
  • modern software engineering practices
  • SRE
  • Agile
  • DevSecOps
  • CI/CD
  • Observability
  • deployment techniques like Blue-Green, Canary
  • A/B testing
  • optimizing automation
  • root-cause analysis
  • technical concepts clearly and compellingly
  • evidence, evaluations, and research