Software Engineer

PwC; Hyderabad, Bengaluru; Hybrid; INR 2,800,000 - 5,200,000; Full time

Job summary

PwC in Hyderabad and Bangalore is seeking a senior Site Reliability Engineer to own the reliability of client production systems end to end, acting as the primary technical contact on AWS with on-call responsibility and incident leadership.

You will apply AI-assisted operations, define SLIs/SLOs, mentor associates, and help scale Kubernetes and cloud services while delivering blameless post-mortems and field learnings to customers.

Qualifications

• Own production reliability for AWS-based deployments.
• Define SLIs, SLOs and error budgets with monitoring.
• Lead major incidents and post-mortems to drive fixes.
• Hands-on automation using Python/Go/Bash.
• AWS Associate level certification required.

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.

Skills

SRE Ownership

Incident leadership

Automation skills

Observability

AI SRE tooling

AWS experience

Tools

Docker

Kubernetes (EKS)

Helm

Prometheus

Grafana

Datadog

OpenTelemetry

Jaeger

ELK

PagerDuty

Opsgenie

Terraform

GitHub Actions

GitLab CI

ArgoCD

Job description

Role-

Site Reliability Engineering ( Mandatory skills AWS, AI & SLI OR SLO)Certification mandatory

Location- Hyderabad & Bangalore

Experience Required -6-8years

Aws or Azure or Devop's Certification mandatory

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

Soft Skills & Competencies

• Confident, customer-facing communication.
• Calm, decisive incident leadership.
• Mentors and raises standards across the team.
• Sound technical judgement.

Experience Required

6–9 years.

Reporting & Team

Embedded with an enterprise customer as their primary technical point of contact, within our Forward Deployed Engineering practice; works alongside client engineers and mentors associate engineers.