About the role
You will manage the operational foundation of the platform, including infrastructure as code, deployment pipelines, and production access models. Additionally, you will partner with engineering and finance teams to optimize cloud costs and improve observability and monitoring.
What they look for
Requirements
Candidates must have 5+ years of experience in DevOps, platform engineering, or site reliability engineering with hands-on experience in Terraform and Kubernetes. Proficiency in a major cloud provider, CI/CD pipeline authoring, and scripting languages like Python or TypeScript is required.
Full description
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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