Site Reliability Engineer M Level

Job Description: Site Reliability Engineer (SRE)

Job Type: Full-Time – External Hire
Location: Any location in India
Experience: 9 –12 years
Role Level: Engineer / Senior SRE consultant

Designation: M

Role Summary

We are looking for an experienced Site Reliability Engineer (SRE) with strong knowledge of SRE practices monitoring & observability AIOps FinOps and application maintenance operations. The ideal candidate will evaluate existing observability ecosystems perform SRE maturity assessments data-driven recommendations based on SRE maturity assessments and support the implementation of SRE and AIOps practices across the organization.
This role requires both analytical and hands-on engineering capabilities with the ability to work across DevOps Cloud Architecture and Support Teams and enhance system reliability.

Key Responsibilities

1. Monitoring & Observability

• Evaluate existing monitoring and observability tools (e.g. Dynatrace New Relic Datadog Splunk Grafana Prometheus AppDynamics OpenTelemetry ELK/EFK etc.).
• Identify gaps in visibility alerting instrumentation log analytics and distributed tracing.
• Define standards for SLO-driven monitoring alert thresholds dashboards and root-cause visibility.
• Recommend tool improvements integrations or consolidations to improve reliability efficiency.

2. AIOps Implementation & Adoption

• Evaluate readiness and maturity for AIOps adoption.
• Work with operational and support teams to leverage:
  • Event correlation & noise reduction
  • Automated anomaly detection
  • Predictive analytics for incidents
  • AI-driven RCA insights
• Integrate AIOps tools with observability and ITSM systems.
• Build automation pipelines for:
  • Self-healing actions
  • Auto-remediation
  • Intelligent alert routing
• Provide guidance on selecting or optimizing AIOps platforms (e.g. Moogsoft BigPanda Dynatrace Davis AI Datadog AIOps).

3. FinOps for Reliability & Cost Optimization

• Collaborate with Cloud & Finance teams to:
  • Analyze cloud usage patterns (compute storage networking).
  • Identify reliability-cost trade-offs (e.g. scaling vs overprovisioning).
  • Recommend cost-efficient architectures without compromising availability.
• Implement FinOps practices such as:
  • Rightsizing resources
  • Reserved instances vs ondemand usage
  • Eliminating idle workloads
  • Monitoring cost anomalies
• Create cost dashboards integrating cloud billing with CI/CD and observability tools.
• Partner with teams to ensure services meet both reliability and cost efficiency targets.

2. SRE Maturity Assessments

• Conduct SRE capability and maturity assessments across application teams and operations.
• Analyze system reliability metrics (SLOs SLIs error budgets) and organizational processes.
• Provide actionable insights and roadmaps to improve SRE maturity including people/process/technology perspectives.
• Track maturity evolution and support continuous improvement.

3. Incident Problem & Change Reliability

• Work closely with application support/maintenance teams to:
  • Improve incident reduction and Mean Time To Recovery (MTTR).
  • Build automation to eliminate repetitive manual tasks (toil).
  • Strengthen problem management through deep analytics.
• Implement patterns for resilience engineering failure mode analysis and chaos testing (optional based on org).

4. SRE Implementation & Coaching

• Support the rollout of SRE frameworks operating models and best practices.
• Coach application teams on SRE concepts such as:
  • Service Level Objectives (SLOs)
  • Error Budgets
  • Toil Elimination
  • Release Reliability & Deployment Best Practices
  • Observability-Driven Operations
• Collaborate across DevOps QA Architecture and Operations to embed SRE into SDLC and support models.

5. Automation & Tooling

• Develop automation scripts or small utilities using:
  • Python Shell PowerShell Go or similar.
• Support CI/CD pipeline integration with monitoring and reliability gates.
• Implement auto-remediation or self-healing scripts where applicable.

6. Application Maintenance Support

• Provide expert support for production systems with background in L2/L3 maintenance.
• Analyze logs metrics traces and exceptions to troubleshoot issues effectively.
• Review release changes for reliability risks and recommend improvements.

Required Skills & Experience

Technical Skills

• Strong expertise in at least 2–3 monitoring/APM tools. (any combination):
  • Datadog Dynatrace New Relic Splunk Prometheus Grafana ELK AppDynamics etc.
• Experience with AIOps platforms (Moogsoft BigPanda Dynatrace Davis AI Datadog AIOps).
• Working knowledge of FinOps including cloud cost analysis and optimization.
• Strong knowledge of:
  • Cloud platforms (AWS Azure or GCP)
  • Linux/Unix fundamentals
  • Microservices & API ecosystems
  • Containerization (Docker Kubernetes)
  • Automation scripting (Python / Shell / Go)
  • CI/CD tooling (Jenkins Azure DevOps GitLab CI etc.)
• Good understanding of:
  • Networking concepts
  • Distributed systems
  • Application performance management (APM)
  • Logging & tracing frameworks (OpenTelemetry preferred)

SRE Principles

• Practical experience with:
  • SLOs / SLIs / Error Budgets
  • Incident & problem management
  • Toil identification and elimination
  • Reliability automation
  • Release quality gates

Domain Experience

• Strong experience in Application Maintenance / Production Support environments (mandatory).
• Exposure to Agile/DevOps delivery models.
• Familiar with ITIL concepts (preferable).

Soft Skills

• Strong analytical and problem-solving skills.
• Excellent communication and ability to collaborate with cross-functional teams.
• Ability to work in a fast-paced environment with minimal supervision.
• Proactive with a mindset for continuous improvement and reliability culture.

Preferred Qualifications

• Certifications (optional):
  • Google SRE Foundations / Professional Cloud DevOps Engineer
  • AWS/Azure/GCP Cloud Certifications
  • ITIL Foundation
• FinOps Certified Practitioner (preferred).
• Experience with automation tools or platforms.
• Experience conducting maturity assessments or framework implementations.