DevOps Engineer, Engineering Team Manager, Vice President

Overview

Lead the Service Management Operations Group's global production operations, owning reliability outcomes, AI-enabled signal-driven operations and self-healing systems for business-critical workloads across a 24x7x365 follow-the-sun model.

What you'll do

• Deliver measurable improvements in availability, latency, recovery time, and incident recurrence for critical workloads.
• Establish and mature SRE practices: SLIs/SLOs, error budgets, and reliability governance.
• Replace alert volume with AI-correlated signals that prioritize true business impact and early risk indicators.
• Implement and improve detection, correlation, and routing workflows integrated into operational processes and tooling.
• Design, implement, and govern automated remediation for known failure patterns, with safe guardrails and audit trails.
• Maintain structured human oversight for novel scenarios and ensure continuous learning feeds back into automation.
• Partner with Engineering, Architecture and Product to build operability, observability and resilience-by-design into services.
• Drive root-cause elimination and reduce recurrence through systemic fixes, not repetitive recovery.
• Own change-aware operations, using AI risk signals to anticipate failures from historical data, dependency graphs, and weak points.
• Support production readiness: capacity planning, disaster recovery exercises, and disciplined change governance.
• Ensure AI-driven systems are observable, explainable, and auditable, meeting operational and regulatory expectations.
• Develop and lead a high-performing global team, fostering strong ownership, technical depth, and a culture of accountability and continuous improvement.

What you'll need

• Bachelor's degree in computer science or engineering (or equivalent practical experience).
• 10+ years across Service Management, DevOps, SRE, Product Engineering, and/or large-scale production operations.
• Strong hands-on experience with observability, monitoring and telemetry platforms, focused on actionable insights and reliability outcomes.
• Proven experience transitioning environments from reactive support to proactive, signal-driven or AI-assisted operations.
• Experience designing, tuning or governing automation and AIOps workflows, enabling automated remediation while retaining structured human oversight for exceptions.
• Experience implementing change-aware operations, drift detection and correction, and data-driven reliability governance to reduce incident recurrence.
• AI-assisted capacity forecasting and proactive scaling for performance predictability and cost efficiency.
• End-to-end operational fluency: telemetry, ITSM integration and automated execution.
• Experience sponsoring or governing AI-assisted or autonomous operational platforms.

Details

• Location: Mumbai, India.
• Work mode: hybrid, with at least 4 days per week in the office and flexibility to work from home 1 day a week; some business groups may require more office time.
• Team operates 24x7x365 across 4 global regions.