Role & responsibilities

Greetings from Pwc!

Role- Site Reliability Engineering ( Mandatory skills AWS, AI & SLI OR SLO)

Location- Hyderabad & Bangalore

Experience Required -6-8years

If interested Share cv on [email protected] or WhatsApp on (phone hidden) with below details

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Job Summary

A senior, customer-facing SRE who owns the reliability of a client's production systems end to end. Embedded as the main technical point of contact, you will design reliable infrastructure, lead incidents, apply AI-assisted operations, and mentor the team.

Key Responsibilities

- Own the reliability of production systems for one or more enterprise customers on AWS.
- Define and manage SLIs, SLOs, and error budgets, and ensure monitoring provides meaningful insight.
- Lead the response to reliable (P0/P1) incidents and run blameless post-mortems that lead to fixes.
- Lead within the on-call rotation.
- Operate and optimise Kubernetes clusters and AWS services as workloads grow.
- Introduce AI SRE tooling and AIOps where it speeds up triage and resolution, with appropriate guardrails.
- Advise customers on improving their reliability practices, and mentor associate engineers.
- Share field learnings with product and engineering teams.

Required Qualifications

- Substantial SRE experience with real ownership of production reliability on AWS.
- Experience running Kubernetes and AWS services at scale.
- A track record of defining and managing SLIs, SLOs, and error budgets.
- Strong observability practice.




- Proven incident leadership and post-mortem facilitation.
- Strong automation skills (Python, Go, or Bash).
- Hands-on understanding of AI-assisted operations, including introducing AI SRE tooling with sensible guardrails.
- AWS certification at Associate level as a minimum.

Preferred Qualifications

- Owning CI/CD pipelines and release automation.
- Writing and maintaining Terraform modules.
- GitOps workflows and Helm.
- Designing telemetry collection across services.
- Incident-management tooling such as PagerDuty.
- Hands-on experience integrating AIOps or AI SRE tooling into production operations.
- Familiarity with observability or evaluation of AI systems (e.g., Langfuse).
- Experience delivering AI-based work or AI/ML-driven initiatives in production.
- AWS Certified Solutions Architect Professional and/or AWS Certified DevOps Engineer – Professional.

Technical Skills & Tools

- Cloud (AWS): EC2, EKS, ECS, Lambda, S3, RDS, VPC, IAM, CloudWatch, ELB/ALB, Route 53
- Containers & orchestration: Docker, Kubernetes (EKS), Helm
- Observability & monitoring: Prometheus, Grafana, Datadog, OpenTelemetry, Loki, Tempo/Jaeger (tracing), ELK/Elastic
- Reliability practices: SLIs/SLOs, error budgets, incident command, capacity planning, failure-mode analysis
- Incident & on-call: PagerDuty, Opsgenie, blameless post-mortems
- Automation & scripting: Python, Go, Bash, Git
- AI-assisted operations: AI SRE tooling, AIOps, anomaly detection, automated RCA
- DevOps (good to have): CI/CD (GitHub Actions, GitLab CI), Terraform modules, GitOps (ArgoCD), Helm

📌 Site Reliability Engineer (Hyderabad)
🏢 PwC
📍 Hyderabad