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Capgemini logo
Capgemini

Get the Future You Want

DevOps Engineer

DevOps EngineerDevOps EngineerFull TimeRemoteMid LevelTeam 10,001+Since 1967H1B SponsorCompany SiteLinkedIn

Location

Mexico

Posted

46 days ago

Salary

0

Seniority

Mid Level

No structured requirement data.

Job Description

DevOps Engineer

Capgemini

Role Description We are looking for an experienced DevOps Engineer to support and enable Data Engineering teams by automating infrastructure, CI/CD processes, monitoring, and reliability practices across modern data platforms. The ideal candidate brings experience in cloud-based DevOps environments and has a strong understanding of scalable, secure, and cost-efficient infrastructure for analytics and data workloads. Location: Any state of Mexico Qualifications - 5+ YOE in DevOps, Cloud Engineering, or Platform Engineering roles. - Strong hands-on experience with Infrastructure as Code (Terraform preferred). - Experience designing and maintaining CI/CD pipelines (GitHub Actions, Azure DevOps, or similar). - Solid understanding of Linux systems, shell scripting, and automation. - Experience working with containers (Docker) and basic Kubernetes operations. - Knowledge of cloud networking concepts (VPC/VNETs, subnets, routing, load balancing). - Strong understanding of IAM, secrets management, and security best practices. - Experience implementing observability solutions (monitoring, logging, alerting). - Ability to troubleshoot complex system issues in distributed environments. - Strong collaboration and communication skills, with a mindset focused on reliability and automation. Requirements - Experience supporting data platforms and analytics workloads. - Familiarity with Snowflake, BigQuery, or similar data warehouses. - Experience with Prometheus and Grafana for monitoring and observability. - Knowledge of Vault, KMS, or other secrets and encryption solutions. - Scripting and automation skills using Python and/or Bash. - Exposure to SRE methodologies and incident management processes. - Cloud platform experience (AWS, Azure, or GCP). Key Responsibilities - Design, build, and maintain Infrastructure as Code (IaC) for data platforms using Terraform, CloudFormation, or Bicep. - Implement and manage CI/CD pipelines for data ingestion, transformation, and analytics workloads. - Automate deployment processes for cloud infrastructure, containers, and supporting services. - Set up and maintain monitoring, logging, and alerting for data jobs, services, and platform components. - Ensure high availability, reliability, and performance of data pipelines and underlying infrastructure. - Manage IAM roles, secrets, networking, and security baselines following DevSecOps best practices. - Collaborate with Data Engineers, Analytics Engineers, and Platform teams to standardize and optimize environments. - Drive cost optimization initiatives by analyzing resource usage and applying FinOps best practices. - Participate in incident response, root cause analysis, and continuous improvement activities. - Contribute to SRE practices, including SLIs, SLOs, error budgets, and operational documentation. - Continuously evaluate new tools and technologies to improve platform stability, security, and developer experience. Benefits - Excellent compensation and benefits. - Career path, trainings and real growth opportunities. - Engaging and challenging projects. - Excellent work environment and culture. - Open and Effective management. - Highly professional and collaborative teams.

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