Senior DevOps Engineer, GCP

Job not on LinkedIn

🔥 15 hours ago

🌐 Argentina, Brazil, +1 more countries – Remote

🇦🇷 Argentina – Remote 🇧🇷 Brazil – Remote 🇲🇽 Mexico – Remote

⏰ Full Time

🟠 Senior

⛑ DevOps & Site Reliability Engineer (SRE)

👻 Ghost score 10%

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Helpware

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 2015

📦 Logistics

📣 Marketing

💼 Consulting

💰 Seed Round on 2016-01

Logistics • Marketing • Consulting

Helpware is a digitally enabled People as a Services Outsourcer dedicated to enhancing customer experiences for high-growth, market-disrupting, and technology companies. They specialize in providing a wide array of services such as digital customer experience, content control and verification, AI-driven customer service, back-office support, and data labeling. Helpware also assists in areas like digital marketing support, cybersecurity, and software development. Operating globally, they offer culturally aligned and scalable team solutions across multiple countries. Helpware aims to drive brand loyalty and efficiency for its clients by providing human task services integrated with technology solutions.

📋 Description

• Build and maintain highly available and cost-efficient cloud data infrastructure on Google Cloud Platform 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 ability to design robust and reliable technical solutions • Excellent communication and collaboration skills • English: B2+ / Upper-Intermediate or higher • Experience with GCP, BigQuery, Dataflow, Pub/Sub, Cloud SQL, and Cloud Storage • Experience with Terraform and preferably developing reusable modules • Kubernetes/GKE and Docker experience • Experience designing and maintaining CI/CD pipelines • Experience with GCP VPC, subnets, firewall rules, private service connectivity, and hybrid cloud • Python and Bash scripting • Java, Go, Node.js, or similar programming experience • Configuration management experience with Ansible, Chef, Puppet, or similar • Nice-to-have: GCP certifications such as Professional Cloud Architect, Professional Cloud DevOps Engineer, or Professional Data Engineer • Nice-to-have: Experience with GCP migration projects • Nice-to-have: Experience working with modern data platforms and data engineering teams • Nice-to-have: Knowledge of dbt, Apache Airflow/Cloud Composer, or Dataproc • Nice-to-have: Experience with hybrid or multi-cloud environments • Nice-to-have: Understanding of cloud security and compliance standards such as SOC 2, ISO 27001, or PCI DSS

🏖️ Benefits

• 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