Lead Site Reliability Engineer, fully remote

About the Role : As a Lead Site Reliability Engineer, you will own the reliability and availability of our production systems. You will champion SRE principles across engineering teams — defining SLOs, managing error budgets, and leading a culture of blameless incident response. This is a hands-on leadership role where you will partner closely with product and engineering teams to balance the pace of innovation with the stability our customers depend on.

Title: Site Reliability Engineer

Shift- General/UK Shift

India, Remote Any location near CNX offices

Use error budget policies to drive data-informed conversations between engineering and product on release velocity vs. Conduct capacity planning and proactive risk assessments to prevent incidents before they occur.

• Incident Management
• · Lead incident response as incident commander — coordinating teams, driving resolution, and maintaining clear stakeholder communication during outages.
• · Develop and continuously improve runbooks, escalation paths, and on-call practices to reduce MTTD and MTTR.
• Observability & Monitoring
• · Design and maintain observability strategies using modern tooling (Prometheus, Grafana, OpenTelemetry, ELK) to ensure full visibility into system health.
• · Identify and measure toil across the engineering organization and lead initiatives to eliminate it through automation.
• · Collaborate with platform and infrastructure teams on cloud-native patterns for fault tolerance, auto-scaling, and disaster recovery.
• Provide SRE input into CI/CD pipelines and deployment strategies (e.g., canary releases, blue/green deployments) to minimize production risk.
• Act as an SRE advocate across engineering — embedding reliability thinking into the software development lifecycle.
• AI Expectations
• As with all engineers at our organization, this role requires an AI-native mindset. Embed AI tools and practices into how we build and run our platform — deploying AI-powered capabilities and shipping real AI features into production.
• · Support engagement and solutioning for AI-powered offerings, translating technical capabilities into tangible business value.
• · Collaborate with cross-functional partners — including Product, Data, Security, and Legal — to ensure AI is delivered safely, effectively, and in compliance with relevant standards.
• 7+ years of experience in SRE, platform engineering, or a related discipline.
• Proven experience defining and managing SLOs, SLIs, and error budgets in a production environment.
• Strong incident management experience, including leading postmortems and driving reliability improvements.
• Hands-on experience with observability tooling (Prometheus, Grafana, OpenTelemetry, or similar).
• Solid understanding of cloud platforms (AWS, Azure, or GCP) and containerized environments (Kubernetes).
• Proficiency in at least one scripting or programming language (Python, Go, or Bash).
• Experience with chaos engineering tools (e.g., Experience with GitOps workflows and CI/CD pipelines.
• Bilingual proficiency (English & Spanish).
• Complete all assigned, mandatory training within the timeframe provided.