Forward Deployment Engineer (SRE)

PwC; Hyderabad, Bengaluru; Hybrid; INR 900,000 - 1,400,000; Full time

Job summary

PwC in India is seeking an Associate Forward Deployment Engineer (SRE) to join the Frontline Reliability team. You will be embedded with enterprise clients, stabilising production systems on AWS, and responding to incidents with AI-assisted tooling to keep services healthy day to day.

You will own monitoring, SLIs/SLOs, and runbooks while participating in on-call rotations. Strong scripting and cloud experience are essential for proactive incident resolution.

Qualifications

• Hands-on experience keeping production systems reliable on AWS in an SRE or similar role.
• Experience running Kubernetes and containers in production.
• Working knowledge of core AWS services and cloud-native operations.
• Experience owning monitoring and observability, with SLIs/SLOs and error budgets.
• Experience managing production incidents end-to-end, including on-call.
• Automation scripting with Python or Bash.

Responsibilities

• Keep production systems reliable for enterprise customers on AWS and respond quickly when issues arise.
• Own monitoring and alerting, work to SLIs, SLOs, and error budgets.
• Handle production incidents (P0–P3) within SLA and participate in on-call rotation.
• Troubleshoot live issues from networking to container problems under pressure.
• Operate and maintain Kubernetes clusters, containers, and core AWS services.
• Use AI SRE assistants and AIOps tooling to detect and resolve incidents faster.
• Automate repetitive operational tasks to reduce manual effort.
• Maintain runbooks and post-incident notes; collaborate with client engineers via Teams/Slack/email.

Skills

AWS SRE experience

Kubernetes in production

Cloud services knowledge

Monitoring & observability

Incident management/on-call

Automation scripting (Python/Bash)

AI-assisted operations familiarity

AI/LLM tooling awareness

Tools

Terraform

ArgoCD

Helm

PagerDuty

Job description

Associate Forward Deployment Engineer (SRE)

Site Reliability Engineering | Forward Deployed Engineering

Location:

Bangalore / Hyderabad

Experience Required

3–5 years.

Job Summary

A hands‑on, reliability‑first engineer embedded within an enterprise client's team. You will help run and stabilise their production systems on AWS, respond to incidents, and use AI‑assisted tooling to keep everything healthy day to day.

Key Responsibilities

• Keep production systems reliable for enterprise customers on AWS, and respond quickly when something isn't behaving.
• Own monitoring and alerting, and work to the SLIs, SLOs, and error budgets agreed with customers.
• Handle production incidents (P0–P3) within SLA and take part in the on‑call rotation.
• Troubleshoot live issues under pressure, from networking and authentication to container problems.
• Operate and maintain Kubernetes clusters, containers, and core AWS services.
• Use AI SRE assistants and AIOps tooling to detect and resolve incidents faster.
• Automate repetitive operational tasks to reduce manual effort.
• Maintain runbooks and post‑incident notes, and collaborate with client engineers over Teams, Slack, and email.

Required Qualifications

• Proven experience keeping production systems reliable on AWS in an SRE or similar role.
• Hands‑on experience running Kubernetes and containers in production.
• Working knowledge of core AWS services and cloud‑native operations.
• Experience owning monitoring and observability, and working to SLIs, SLOs, and error budgets.
• Experience managing production incidents end to end, including on‑call.
• Scripting ability for automation (Python and/or Bash).
• A genuine understanding of how AI‑assisted tools support operations, and comfort using them in incident triage and resolution.
• AWS Certified Solutions Architect – Associate (or actively working towards it).

Preferred Qualifications

• Building CI/CD pipelines.
• Infrastructure as Code with Terraform (or equivalent).
• GitOps workflows and Helm.
• Incident‑management tooling such as PagerDuty.
• Previous customer‑facing experience.
• Hands‑on experience with AIOps or AI‑driven monitoring and incident tooling.
• Exposure to AI/ML or LLM‑based tooling applied to operations.
• Hands‑on experience with AI‑based work or projects (AI/ML or LLM‑powered tools).
• AWS Certified Solutions Architect – Professional 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)
• Observability & monitoring: Prometheus, Grafana, CloudWatch, Loki, OpenTelemetry, ELK/Elastic
• Reliability practices: SLIs/SLOs, error budgets, incident management, performance tuning
• Incident & on‑call: PagerDuty, Opsgenie, runbooks, post‑mortems
• Automation & scripting: Python, Bash, Git
• AI‑assisted operations: AI SRE assistants, AIOps, anomaly detection, alert correlation
• DevOps (good to have): CI/CD (GitHub Actions, GitLab CI, Jenkins), Terraform, Ansible, GitOps (ArgoCD), Helm