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Senior DevOps Engineer (GCP)

Role overview

Qualifications

  • 5+ years of experience in a DevOps Engineering role with significant hands-on GCP experience
  • Strong commercial experience building and operating data infrastructure on GCP
  • Hands-on experience with BigQuery, Dataflow, Pub/Sub, and Cloud SQL
  • Advanced experience with Terraform, including infrastructure for GCP data services, networking, and deployments

Responsibilities

  • Build and maintain highly available and cost-efficient cloud data infrastructure on Google Cloud Platform (GCP) and Kubernetes
  • Develop and maintain Terraform configurations for GCP data services, networking, and deployments
  • Establish monitoring and observability across data pipelines and infrastructure
  • Implement cloud security best practices, including vulnerability scanning and threat modeling

Key facts

Hard skills

Other skills

  • Problem Solving
  • Communication
  • Collaboration

About the company

Helpware logo

Helpware

Outsourcing & Offshoring

Helpware is built to help the world’s most innovative brands scale faster, smarter, and more sustainably. We combine the precision of AI-enabled BPM with the dedication of world-class teams to deliver measurable results across customer experience, technology, and growth marketing. Our approach is simple: the right people, the right process, powered by the right technology, working seamlessly to transform your business.

Company details

IndustryOutsourcing & Offshoring
Company size1001-5000

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Job description

We are looking for a talented Senior DevOps Engineer to join our partner’s team and support the development and operation of a modern GCP-based data platform. You’ll work closely with DevOps, application, and data engineering teams to build scalable, secure, highly available, and cost-efficient infrastructure.

Position Details

  • Start: ASAP
  • Duration: Long-term
  • Location: Remote
  • Workload: Full-time
  • English: B2+ / Upper-Intermediate or higher

Key Responsibilities

  • Build and maintain highly available and cost-efficient cloud data infrastructure on Google Cloud Platform (GCP) and Kubernetes.
  • Work extensively with BigQuery, Dataflow, Pub/Sub, and Cloud SQL.
  • Develop and maintain Terraform configurations for GCP data services, networking, and deployments.
  • Manage networking and deployment configurations for GCP data platform components.
  • Design and maintain advanced CI/CD pipelines for data services, focusing on quality, security, and efficiency.
  • Establish monitoring and observability across data pipelines and infrastructure.
  • Troubleshoot complex data infrastructure and production issues and proactively identify potential risks.
  • Implement cloud security best practices, including vulnerability scanning and threat modeling.
  • Collaborate with application and data engineering teams to establish and improve operational standards.
  • Support ongoing GCP migration initiatives by designing scalable, secure, and cost-effective infrastructure.

Requirements

  • 5+ years of experience in a DevOps Engineering role with significant hands-on GCP experience.
  • Strong commercial experience building and operating data infrastructure on GCP.
  • Hands-on experience with BigQuery, Dataflow, Pub/Sub, and Cloud SQL.
  • Advanced experience with Terraform, including infrastructure for GCP data services, networking, and deployments.
  • Strong understanding of GCP networking, including VPCs, subnets, firewall rules, and private connectivity.
  • Proven experience designing and implementing large-scale GCP solutions.
  • Strong problem-solving skills and the ability to design robust and reliable technical solutions.
  • Excellent communication and collaboration skills.
  • English: B2+ / Upper-Intermediate or higher.

Technical Skills

  • Cloud: GCP, BigQuery, Dataflow, Pub/Sub, Cloud SQL, Cloud Storage
  • IaC: Terraform, preferably with experience developing reusable modules
  • Kubernetes: Kubernetes / GKE, Docker
  • CI/CD: Experience designing and maintaining CI/CD pipelines
  • Networking: GCP VPC, subnets, firewall rules, private service connectivity, hybrid cloud
  • Scripting: Python, Bash
  • Programming: Java, Go, Node.js, or similar
  • Configuration Management: Ansible, Chef, Puppet, or similar
  • Data & Orchestration: Composer/Airflow, Dataproc, dbt — nice to have
  • Security: IAM, CMEK, VPC Service Controls, vulnerability scanning, threat modeling
  • Observability: Monitoring and logging solutions for cloud infrastructure and data pipelines

Nice to Have

  • GCP certifications such as Professional Cloud Architect, Professional Cloud DevOps Engineer, or Professional Data Engineer.
  • Experience with GCP migration projects.
  • Experience working with modern data platforms and data engineering teams.
  • Knowledge of dbt, Apache Airflow / Cloud Composer, or Dataproc.
  • Experience with hybrid or multi-cloud environments.
  • Understanding of cloud security and compliance standards such as SOC 2, ISO 27001, or PCI DSS.

What We Offer

  • Opportunity to work with our international partner on a modern GCP data platform.
  • Work with large-scale cloud infrastructure and modern data technologies.
  • Collaboration with experienced DevOps, application, and data engineering teams.
  • Professional growth and knowledge-sharing opportunities.
  • International and collaborative working environment.

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MR

Marcus Rivera

Chief Revenue Officer

m.rivera@company.com
linkedin.com/in/marcusrivera
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