About the role
Dhyati is hiring an SRE Lead to run a 24/7 L1/L2 production support and stabilization team, based in India, for one of our SaaS clients. You will own uptime and incident response for the client's web applications and backend services, and lead the team from reactive ticket handling to proactive, SRE-style alerting, automation and problem elimination. This is a hands-on leadership role. You will manage shift engineers, act as the escalation point for L2, and be the day-to-day technical voice to the client's engineering and customer teams.

Location:
India (office or hybrid)
· Reports to: Delivery Head, Dhyati
· Team: L1 and L2 engineers across rotating shifts

Key responsibilities
Lead the 24/7 team
• Build, hire, onboard and mentor a follow-the-sun or rotating-shift team of L1 and L2 engineers; set explicit roles, runbooks and escalation paths.
• Design shift rosters and on-call rotations that keep full coverage without burning people out.
• Run performance reviews, skills development and succession for team members. Own incident management
• Act as incident commander for Sev1 and Sev2 events: coordinate triage, communication, mitigation and recovery.
• Run blameless post-incident reviews and drive corrective actions to closure.
• Keep status updates to the client timely, accurate and free of jargon. Drive reliability engineering
• Define SLIs, SLOs and error budgets with the client for key web and API services.
• Tune monitoring and alerting: cut noise, add symptom-based alerts, and move the team from reacting to tickets to catching issues before customers do.
• Analyze recurring incidents,



find root causes in application and backend code, infrastructure and configuration, and work with client engineers on permanent fixes. Automate and improve
• Turn repeated manual work into scripts, runbooks, auto-remediation and self-service tooling.
• Maintain a living knowledge base: runbooks, architecture notes, known-error records and on-call guides.
• Support safe releases: deployment checks, rollback plans and post-deploy monitoring. Manage the client relationship
• Be the technical escalation contact for the client's engineering leads and customer success teams.
• Report weekly and monthly on availability, incident trends, MTTA and MTTR, ticket volumes and improvement work.
• Flag risks early and recommend capacity, tooling or process changes. Required qualifications
• 8+ years in software engineering, SRE, DevOps or production support, including 3+ years leading a team or shift operation.
• Strong background in web applications and backend services: you can read application code, trace a failing request through APIs, services, queues and databases, and find the cause.
• Hands-on experience running production systems on AWS, GCP or Azure, including containers and Kubernetes.




• Proven incident command experience on Sev1 and Sev2 events, with clear client-facing communication.
• Working knowledge of observability: metrics, logs and traces, dashboards, and alert design (for example Datadog, Grafana, Prometheus, New Relic, ELK or Splunk).
• Solid understanding of SLIs, SLOs, error budgets, root cause analysis and blameless postmortems.
• Scripting or programming skill (Python, Go, Bash or similar) to automate operations work.
• Experience with CI/CD pipelines, infrastructure as code (Terraform or similar), and safe release practices.
• Comfort with SQL and NoSQL databases and message systems such as Kafka, SQS or RabbitMQ at an operational level.
• Lead a team that is building a proactive SRE practice, not a ticket queue.
• Excellent written and spoken English; able to work with US-based stakeholders and cover overlap hours as needed. Preferred qualifications
• Experience in a SaaS or data-platform environment serving many customer accounts.
• Background building or transitioning a support team into a proactive SRE function.
• Familiarity with ITSM tools (Jira Service Management, ServiceNow, PagerDuty, Opsgenie) and ticket SLA management.
• Cloud or SRE certifications (AWS, GCP, Azure, CKA) or ITIL.
• Experience with chaos testing, load testing or capacity planning.
• Exposure to AI-assisted triage and runbook automation. Typical stack: AWS or GCP, Kubernetes, Terraform, Datadog or Grafana, PagerDuty, Jira, GitHub Actions, Node.js, Go or Java services, Postgres, Redis, Kafka.

📌 SRE Lead (India)
🏢 Dhyati
📍 India