出海雷达

高级技术负责人(DevOps)

Associate Technical lead, DevOps

开发工程限定地区(需当地身份)
公司Integrate
薪资未公开
工作地点India
地域资格限定地区(需当地身份)
时区要求日间重叠约 6 小时,基本正常作息
用工类型Full Time
发布时间10 天前
数据来源Himalayas
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注意地域限制:该职位明确限定在 India 招聘。如果你是位于中国大陆的求职者,通常需要当地工作身份才能投递,或需与雇主确认是否接受独立合同(Contractor)形式合作。

About Integrate

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.

Originally posted on Himalayas

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