Associate Technical lead, DevOps

Integrate Inc.

India

On-site

INR 1,500,000 - 2,300,000

Full time

14 days+
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Job summary

Integrate is hiring a DevOps Engineer to own the IaC, deployment pipelines, access models, and cloud spend across CaliberMind on Google Cloud (GKE, BigQuery, Dataproc). You will automate and harden production systems, build secure pipelines, and promote reliable rollouts.

You'll collaborate with the engineering and platform teams, extend local development environments, manage IAM and SSO, and contribute to SOC 2 compliance while documenting runbooks and operational processes.

Qualifications

  • 5+ years of DevOps or SRE, managing production systems.
  • Hands-on Terraform in team settings with plan/apply workflows.
  • Kubernetes and Helm in production environments.
  • Google Cloud or AWS/Azure with cloud-native tooling.

Responsibilities

  • Manage infrastructure as code for a Google Cloud estate with automated checks.
  • Migrate pipelines to GitHub Actions and implement tests, linting, scanning.
  • Establish immutable artifact promotion and reliable rollback.
  • Manage production access models, IAM, service accounts, and SSO.
  • Coordinate multi-language dependency updates and database migrations.
  • Partner on cloud cost management and capacity planning.
  • Extend local development environments with production parity.
  • Improve observability, on-call readiness, and SOC 2 support.
  • Document infrastructure, runbooks, and operational processes.
  • Other duties as assigned.

Skills

Terraform
Kubernetes
GitHub Actions
Docker
Linux Shell
Python
Bash
TypeScript
Google Cloud
BigQuery
CI/CD
Secrets Management
SSO/OIDC
Data Platform

Education

Bachelor's degree in CS/Engineering

Tools

Terrakube
Terraform Cloud/Enterprise
Spacelift
Docker Compose

Job description

Integrate is a B2B demand orchestration platform that helps enterprise marketing teams capture, validate, and activate leads across every channel — turning fragmented demand generation into a unified, measurable pipeline.

About the Role

As a DevOps Engineer, you will manage the operational foundation of CaliberMind, Integrate's B2B marketing analytics and revenue-attribution platform: the infrastructure as code, the deployment pipelines, the production access model, the local development experience, and the cloud spend. CaliberMind runs on Google Cloud — GKE, BigQuery, and Dataproc — across roughly 50 services, and your job is to make operating it repeatable. You will report to the Head of Dev & SecOps and work alongside both the CaliberMind engineering team and Integrate's platform group, partnering with IT on authentication and access for corporate systems.

Key Responsibilities
  • Manage infrastructure as code for a Google Cloud estate — plan-on-pull-request, policy checks, consistent provider versions, and reconciled state — moving applies out of local environments and into automation.
  • Migrate deployment pipelines from Google Cloud Build to GitHub Actions, and build the quality and security gates that make a green build meaningful: automated tests, linting, dependency scanning, and container image scanning.
  • Establish immutable artifact promotion, deployment approvals, and reliable rollback across environments.
  • Manage the access model for production systems, including cloud IAM and service accounts, Kubernetes RBAC, database and warehouse access, and the platform's roles, entitlements, and single sign-on; coordinate with IT on authentication for corporate systems.
  • Establish a dependency and platform upgrade cadence across a multi-language estate (Node/TypeScript, Python, and Scala/Spark), including automated dependency updates and managed database migrations.
  • Partner with engineering and finance on cloud cost management, including committed-use discounts, data warehouse capacity planning, and project sprawl.
  • Extend the Docker Compose local development environment so that it includes its own databases, seed data, and production-parity dependencies, enabling engineers to be productive on their first day.
  • Improve observability and monitoring, contribute to on-call practice as the team grows, and support the SOC 2 program from the engineering side.
  • Document infrastructure, runbooks, and operational processes so that operational knowledge is shared across the team.
  • Other duties as assigned.
Qualifications
  • 5+ years of experience in DevOps, platform engineering, or site reliability engineering, directly managing production systems
  • Hands-on experience with Terraform in a team setting, including modules, remote state, and disciplined plan and apply workflows managed through an automation platform (Terrakube, Terraform Cloud/Enterprise, Spacelift, or similar)
  • Working knowledge of Kubernetes and Helm, including deploying, debugging, and upgrading production workloads
  • Experience with a major cloud provider; Google Cloud preferred, though strong AWS or Azure experience is transferable
  • Demonstrated experience authoring CI/CD pipelines; GitHub Actions preferred, with Cloud Build, GitLab CI, CircleCI, or Jenkins also applicable
  • Proficiency with Docker and Docker Compose, including multi-service local development environments
  • Comfort working in a Linux shell and in at least one scripting language, such as Python, Bash, or TypeScript
  • Experience with AI-assisted development, including working with coding agents and integrating AI code review or agent-driven automation into CI pipelines, preferred
  • Familiarity with secrets management such as Secret Manager, Vault, SOPS, or KMS-encrypted configuration, preferred
  • Experience with identity platforms such as Auth0, SAML SSO, or OAuth 2.0/OIDC, preferred
  • Exposure to BigQuery, Dataproc, or other data platform infrastructure, preferred
  • Experience with cloud cost optimization, including committed-use discounts, reservations, and rightsizing, preferred
  • Familiarity with SOC 2 or a compliance program such as Vanta or Drata, preferred
  • Strong written communication and a habit of documenting what you build
  • Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent practical experience .
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