Google Cloud DevOps Engineer – Temporary Contract

🔥 0 minutes ago

🇨🇴 Colombia – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

⛑ DevOps & Site Reliability Engineer (SRE)

👻 Ghost score 10%

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Applaudo

WebsiteLinkedInAll Job Openings

501 - 1000 employees

Founded 2013

💼 Consulting

📣 Marketing

📦 Logistics

Consulting • Marketing • Logistics

Applaudo is a nearshore software development company that helps businesses accelerate their digital transformation. With over a decade of experience, Applaudo partners with some of the world’s most admired brands to streamline IT solutions, optimize delivery costs, and modernize their digital infrastructure. The company offers a range of services including innovation and experience design, development and maintenance, quality assurance, cloud solutions, artificial intelligence, and cybersecurity. Applaudo is known for its expertise in data solutions and app modernization, and has a strong presence in industries like sports, media and entertainment, retail, consumer packaged goods, and financial services. Headquartered in Austin, TX with offices in San Salvador, Applaudo blends top-tier software development talent with cutting-edge technology to drive business growth for its clients.

📋 Description

• Build and configure Kubernetes workloads, including GKE clusters and/or Helm chart deployments • Configure Google Cloud project environments using an existing Terraform baseline and custom modules • Implement and maintain CI/CD pipelines and environment promotion workflows on Cloud Build • Deploy and maintain Cloud Composer environments for data engineering orchestration • Support Cloud Run deployments • Configure and maintain Google Cloud-native monitoring, alerting, and logging • Produce, maintain, and support deployment packages through system acceptance • Maintain disciplined Git practices across infrastructure and deployment work • Troubleshoot infrastructure, deployment, and CI/CD pipeline issues • Collaborate with platform and engineering teams to align infrastructure with architecture and delivery standards • Operate within defined Dev/QA environment access boundaries • Contribute to technical documentation, code reviews, and ticket-based delivery processes

🎯 Requirements

• Bachelor’s Degree in Computer Science, Software Engineering, Computer Engineering, or a related field is desired, or equivalent professional experience • 5+ years of professional experience with Terraform on Google Cloud Platform • Experience building and maintaining infrastructure from existing in-house Terraform modules and developing new modules from scratch • Hands-on experience with Kubernetes, including GKE cluster setup/management and Helm chart packaging and deployment • Hands-on experience with Cloud Run, microservice architecture, and containerized workflows • Experience deploying and maintaining Google Cloud Managed Service for Apache Airflow (Cloud Composer) • Experience implementing CI/CD pipelines and environment promotion workflows using Cloud Build and Artifact Registry • Experience with Google Cloud-native monitoring, alerting, and logging using Cloud Monitoring and Cloud Logging • Strong Git fundamentals, including branching strategies, pull requests, and structured commit practices • Experience guiding development teams on branching and merge requirements • Experience with documented designs, code reviews, and ticket-based delivery • Experience in security-conscious, regulated, or government environments, or comparable compliance-driven delivery processes • Experience using AI-assisted development tools such as Claude Code or similar • Excellent communication skills in English • Conversational English proficiency • At least 4 hours of daily overlap with U.S. Eastern business hours • Ability to work within defined Dev/QA access boundaries and applicable security and operational requirements

🏖️ Benefits

• Remote work option • Full-time temporary contract employment • Opportunity to work on large-scale, public-sector operational platforms • Collaboration with platform, engineering, design, cloud, data, and artificial intelligence teams • Investment in modern ways of working and AI-native transformation • Learning and ownership opportunities • High-performance culture centered on Empowering Excellence, Collaborative Teamwork, Unsolicited Respect, Consistent Transparency, and Efficient Communication