SDM SRE Staff Engineer

Overview

Define, implement and govern the enterprise-wide Site Reliability Engineering strategy, architecture, standards and operating model, embedding reliability, observability and operational excellence across the software delivery lifecycle and production ecosystem.

What you'll do

• Define and implement the enterprise-wide SRE strategy, framework, governance model and operating model.
• Establish SRE standards, policies and best practices, including SLIs, SLOs, SLAs, error budgets, reliability KPIs and service health scorecards.
• Design and govern the end-to-end observability architecture, including logs, metrics, traces, dashboards, alerting and event correlation.
• Define and enforce Non-Functional Requirements such as availability, scalability, performance, resiliency, recoverability and reliability.
• Lead production readiness reviews, resiliency assessments and reliability architecture reviews for business-critical systems.
• Architect and promote automation, self-healing, auto-remediation and runbook engineering to reduce manual effort.
• Conduct SRE maturity assessments and define roadmaps to improve reliability practices across applications and platforms.
• Drive shift-left reliability adoption by embedding SRE best practices into the SDLC, testing, CI/CD pipelines and release processes.
• Partner with engineering and support teams to improve incident management, problem management, root cause analysis, postmortems and continuous service improvement.
• Evaluate, standardize and govern enterprise monitoring, APM, observability and AIOps tools and platforms.
• Establish standards for alert quality, event correlation, noise reduction and actionable monitoring.
• Collaborate with cloud and platform teams to ensure reliable architecture and operational support in Azure cloud environments.
• Drive capacity planning, performance engineering, scalability planning and reliability trend analysis to proactively mitigate production risks.
• Provide technical leadership, architecture guidance and advisory support to product, engineering, operations and leadership teams.
• Mentor teams on SRE principles, operational excellence and reliability-first engineering practices.

What you'll need

• 10+ years of experience in SRE, DevOps, Production Engineering, IT Operations Engineering or related roles, with strong architecture experience.
• Strong hands-on experience with observability and APM tools such as Splunk, AppDynamics, Dynatrace, Datadog, New Relic, Azure Monitor, or similar platforms.
• Strong hands-on experience in SRE operational processes, including application support, incident management, problem management, change management, release/deployment management, and documentation and knowledge management.
• Strong experience defining and managing SLIs, SLOs, SLAs, error budgets, operational KPIs and service health metrics.
• Hands-on experience performing failure mode analysis, resiliency design, risk analysis and non-functional requirement analysis to ensure robust and reliable system architecture.
• Hands-on experience implementing SRE best practices throughout the SDLC lifecycle, including production readiness, release quality controls and post-incident improvement practices.
• Hands-on experience with automation using DevOps and configuration management tools.
• Strong hands-on experience designing, implementing and supporting solutions in Azure Cloud.
• Coding/scripting experience in one or more languages such as Python, Java, PowerShell, Go or Shell scripting.
• Strong understanding of distributed systems, microservices, APIs, cloud-native architectures and reliability engineering principles.
• Experience with high availability, failover design, disaster recovery, backup/recovery and business continuity planning.
• Strong understanding of performance engineering, scalability and capacity planning.
• Experience working in the Retail domain.

Nice to have

• Experience with containerization and orchestration platforms such as Docker, Kubernetes or OpenShift.
• Experience with CI/CD pipelines, Infrastructure as Code (IaC), GitOps and modern DevOps practices.
• Familiarity with AIOps, Gen AI and Agentic AI tools for intelligent operations, automation and incident support.
• Experience with chaos engineering and resiliency validation practices.
• Knowledge of Agile / SAFe methodologies, DevSecOps and security best practices.
• Relevant certifications such as Azure Solutions Architect / Azure Administrator, SRE / DevOps certifications, ITIL, and Kubernetes certifications (CKA/CKAD).

Details

• Location: APAC Home Office, Hyderabad, India (Salarpuria Sattva Knowledge City, Inorbit Road).