Site Reliability Engineer

Recrew AI; Bengaluru Urban; On-site; INR 1,800,000 - 3,000,000; Full time

Job summary

Recrew AI in Bengaluru is seeking a Site Reliability Engineer to own the end-to-end platform and infrastructure powering its data-driven marketing research systems at scale.

You will collaborate with engineering teams to build reliable, secure, and cost‑efficient systems on GCP, driving automation, observability, and developer productivity across the organization.

Qualifications

• 4+ years building and operating production systems at scale.
• Hands-on with GCP services (Compute Engine, GKE, Cloud SQL, Cloud Storage, Pub/Sub).
• Proficiency in Terraform for provisioning and automation.
• Experience running containerised workloads with Docker and Kubernetes (GKE) in production.
• Experience building CI/CD pipelines (GitHub Actions or equivalent).
• Hands-on experience with observability tools — Datadog and/or OpenTelemetry.

Responsibilities

• Own and manage end-to-end cloud infrastructure on GCP (Compute Engine, GKE, Cloud SQL, Pub/Sub, Cloud Storage).
• Design, build, and maintain CI/CD pipelines using GitHub Actions to enable faster deployments.
• Implement and manage Infrastructure as Code using Terraform for provisioning and automation.
• Build and enhance the observability stack (Datadog, OpenTelemetry) covering logging, metrics, traces.
• Lead incident management, root cause analysis, and post-mortem processes for production systems.
• Define and maintain SLIs, SLOs, and error budgets to drive reliability decisions.
• Automate operational processes, reduce toil, and support service onboarding to modern platform architecture.

Skills

GCP

Terraform

Docker

Kubernetes

CI/CD

Datadog

OpenTelemetry

Go

Bash

SRE practices

Tools

GitHub Actions

Compute Engine

GKE

Cloud SQL

Pub/Sub

Cloud Storage

Job description

Type: Full-time

Industry: Market Research / Data & Analytics / Marketing Technology

About Company

The company is a global leader in data-driven marketing research. It serves over 4,000 brands across Asia-Pacific with actionable consumer insights.

With 25+ years of expertise and 130 million+ consumer panelists worldwide, it combines survey data, digital behavior, and purchase insights. The company is in an active growth-through-acquisition phase, backed by ~$848M in funding.

Its engineering teams build cloud-native platforms that power research at massive scale.

Position Overview

As a Site Reliability Engineer, you will own the end-to-end platform and infrastructure that powers the company's research systems at scale. You'll work closely with engineering teams to build reliable, secure, and cost-efficient systems on GCP — driving automation, observability, and developer productivity across the organisation.

Role & Responsibilities

• Own and manage end-to-end cloud infrastructure on GCP, including Compute Engine, GKE, Cloud SQL, Pub/Sub, and Cloud Storage
• Design, build, and maintain CI/CD pipelines using GitHub Actions to enable faster and safer deployments
• Implement and manage Infrastructure as Code using Terraform for all infrastructure provisioning and automation
• Build and enhance the observability stack (Datadog, OpenTelemetry) covering logging, metrics, and distributed tracing
• Lead incident management, root cause analysis, and post-mortem processes for production systems
• Define and maintain SLIs, SLOs, and error budgets to drive reliability decisions across services
• Automate operational processes, reduce toil, and support service onboarding to modern platform architecture

Must Have Criteria

• 4+ years of experience building and operating production systems at scale
• Hands-on experience with GCP services (Compute Engine, GKE, Cloud SQL, Cloud Storage, Pub/Sub)
• Proficiency in Terraform for infrastructure provisioning and management in production environments
• Experience running containerised workloads with Docker and Kubernetes (GKE) in production
• Experience building and maintaining CI/CD pipelines (GitHub Actions or equivalent)
• Hands-on experience with observability tools — specifically Datadog and/or OpenTelemetry (metrics, logs, traces)
• Programming experience in Go and scripting experience in Bash for automation and tooling

Nice to Have

• Hands-on experience with SRE practices: SLO-driven operations, error budgets, and reliability reviews
• Experience building internal developer platforms or platform engineering initiatives
• Business-level Japanese proficiency (JLPT N3 or equivalent) for collaboration with Japan-based teams
• Experience applying AI/ML tools to enhance SRE automation or incident response
• Open-source contributions or experience mentoring engineers on SRE/DevOps practices

What We Offer

• Opportunity to own and shape the entire platform infrastructure for a globally scaled research platform
• Work with a modern, cloud-native stack (GCP, Terraform, Datadog, Go) in an agile engineering culture
• Exposure to large-scale consumer data systems serving 4,000+ enterprise clients across Asia-Pacific
• Collaborative, transparent work culture with strong ownership and continuous learning
• Growth opportunities within a company in an active merger and acquisition phase