Site Reliability Engineer_AWS Certified only 6years +

PwC; Hyderabad, Bengaluru; Sur place; INR 1 800 000 - 3 500 000; Plein temps

Résumé du poste

PwC is hiring a senior Site Reliability Engineer to own the reliability of client production systems on AWS, with a focus on AI-assisted operations for faster and safer triage.

You will design scalable infrastructure, define SLIs/SLOs, lead critical incidents, mentor associates, and collaborate with product and engineering teams across Hyderabad and Bengaluru to improve overall service resilience.

Qualifications

• Substantial SRE experience with ownership of production reliability on AWS.
• Experience running Kubernetes and AWS services at scale.
• Proven SLIs/SLOs and error budgets management.
• Strong observability practice.
• Automation skills in Python, Go, or Bash; AI-assisted operations.
• AWS Associate certification minimum.

Responsabilités

• Own the reliability of production systems on AWS for one or more enterprise customers.
• Define and manage SLIs, SLOs, and error budgets, and ensure monitoring provides meaningful insight.
• Lead the response to serious (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.

Connaissances

SRE on AWS

Incident leadership

Automation scripting

Observability

AI in SRE

AWS Associate cert

Outils

AWS services

Kubernetes (EKS)

Docker

Helm

Prometheus

Grafana

OpenTelemetry

GitOps (ArgoCD)

PagerDuty

Description du poste

Role & responsibilities

Greetings from Pwc!

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

Location- Hyderabad & Bangalore

Experience Required -6years -8years

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 serious (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