Site Reliability Engineer (SRE) – GCP Platform

ITC Infotech; Bengaluru; On-site; INR 900,000 - 1,300,000; Full time

Job summary

ITC Infotech is seeking a Site Reliability Engineer (SRE) for the GCP Platform in Bangalore. The role requires 8+ years of hands-on experience and a strong focus on reliability, on-call rotations, and incident management.

You will design, implement and operate cloud infrastructure on GCP with Kubernetes, Terraform, and observability tooling. You will collaborate with cross-functional teams to improve system resilience and drive automation across CI/CD pipelines, monitoring, and incident response

Qualifications

• Experience in designing and operating large-scale cloud platforms.
• Strong background in SRE practices, incident response and on-call.
• Hands-on with IaC, CI/CD, and observability tools.

Responsibilities

• Own end-to-end production reliability with a focus on availability, performance and cost.
• Lead incident response, post-incident reviews and runbook improvements.
• Design and operate infrastructure on GCP, including GKE, IAM and networking.
• Implement and manage observability, monitoring and alerting.
• Collaborate with engineering teams to improve system resilience.

Skills

GCP

Kubernetes

Python

CI/CD

Linux

Education

Bachelor's degree in CS/Eng

Tools

Terraform

GKE

Dynatrace/Grafana

Job description

Role - Site Reliability Engineer (SRE) – GCP Platform

Location - Bangalore (O Shaughnessy Road)

Work type - Work from Office

Experience - 8+ Years

Key Responsibilities

Reliability & Operations

• Own end-to-end production systems reliability, availability, scalability, cost and performance.
• Drive measurable improvements in MTTR, MTTA, and incident response practices using automation and runbook additions and process enhancements.
• Participate in 24x7 on-call rotations and handle high-severity incidents and document the learnings on ongoing basis.
• Establish and manage SLI, SLO, SLA, Error Budgets, and operational metrics for mission critical services and partner with engineering teams with full accountability for upholding the SLOs.
• Partner with the various engineering, operations and cloud management teams to deliver highly reliable service in a timely manner.
• Design, deploy, and manage infrastructure on Google Cloud Platform (GCP).
• Work extensively on:
• Compute, networking, IAM, Load Balancers, TLS Certs
• BigQuery, Pub/Sub, cloud logging enhancement, metrics and logs analysis
• Implement and manage infrastructure using Terraform (Infrastructure as Code).
• Deploy and manage containerized workloads using Kubernetes (GKE).
• Troubleshoot issues related to:
• Pods, nodes, networking, storage, services on an ongoing basis
• Manage deployments using Helm, YAML, and rollout strategies (Canary/Blue-Green).

Automation & CI/CD

• Build and maintain CI/CD pipelines using:
• Jenkins (pipeline-based, Groovy / Shell / Python scripting)
• Strong experience in using GitHub as a PowerUser
• Develop automation using Python and Shell scripting.
• Reduce operational toil through automation initiatives.

Observability & Monitoring

• Implement and manage monitoring systems using:
• Dynatrace, Grafana, logs and metrics explorer
• Work with logs, metrics, and traces for deep observability to identify trends and arrest problems proactively.
• Define alerting strategies based on system behaviour and SLOs and create runbooks.
• Work alongside operations teams to identify, fix the production incidents and own the problem resolution.
• Work with engineering teams to isolate infra and application issues and set up right tooling for debugging production incidents.

System & Application Troubleshooting

• Distributed systems
• Microservices-based architectures on containerised workloads
• Java and Golang applications
• Application issues
• Infrastructure issues
• Network-related problems

Plan and execute continuous improvement

• Identify and eliminate repetitive manual tasks.
• Drive reliability engineering practices and culture. (DRY – Don’t Repeat Yourself)
• Collaborate with development teams to improve system design and resilience.

Technical Skills

• Strong expertise in Google Cloud Platform (GCP):
• GKE, VPC, IAM, Load Balancing, LB, Certs, KMS, logs and metrics exploration
• BigQuery, Pub/Sub
• Good understanding of cloud architecture and landing zones

Infrastructure as Code

• Strong hands-on experience with Terraform
• Ability to write and debug Terraform code from scratch

Containers & Orchestration

• Deep expertise in:
• Docker
• Strong troubleshooting experience in Kubernetes environments

CI/CD & Automation

• Hands-on experience with:
• Jenkins (pipeline-based CI/CD)
• GitHub
• Python (preferred)
• Shell scripting
• Experience with automation frameworks and tooling

Observability

• Experience with:
• Dynatrace / Grafana
• Log, metrics, and trace-based monitoring
• Working knowledge of:
• Java and/or Golang applications
• Strong debugging skills across application and infrastructure layers
• Deep understanding of TCP/IP networking
• Ability to debug network issues in distributed systems

Reliability Engineering Skills

• Solid understanding of:
• SLI, SLO, SLA, Error Budgets
• Demonstrable and Proven Experience improving:
• MTTR, MTTA
• Experience handling incident management lifecycle

Soft Skills

• Strong analytical and troubleshooting mindset
• Excellent communication and stakeholder management
• Ability to work in high-pressure production environments
• Ownership-driven and proactive approach

Preferred candidates with:

• Exposure to banking/financial domain (optional but valuable)
• Understanding of security and compliance practices
• Experience with deployment strategies:
• Canary, Blue-Green
• Hands‑on production troubleshooting expert
• Good at automation + reducing toil
• Deep understanding of SRE principles
• Comfortable in 24x7 production environments