DevOps Engineer
Pavago
| Company | Pavago |
| Category | Engineering |
| Location | Portugal |
| Remote | Remote |
| Employment | Not stated |
| Level | Not stated |
| Salary | Not stated by the employer |
| Posted | 31 May 2026 |
| Last verified | 5 Aug 2026 |
| Source | Employer ATS (workable) |
Description
Job Title: DevOps Engineer Position Type: Full-Time, Remote Working Hours: U.S. Client Business Hours (with flexibility for deployments, incident response, and on-call rotations) About the Role Our client is seeking a highly skilled DevOps Engineer to build, maintain, and optimize cloud infrastructure, deployment pipelines, and system reliability across production environments. This role requires deep expertise in cloud platforms, automation, CI/CD, container orchestration, monitoring, and infrastructure security. The DevOps Engineer will play a critical role in ensuring systems remain scalable, secure, resilient, and highly available while enabling development teams to ship code efficiently and safely. The ideal candidate is proactive, automation-driven, calm under pressure, and passionate about improving infrastructure reliability and operational efficiency. Responsibilities Cloud Infrastructure Management • Provision, configure, and maintain infrastructure on AWS, GCP, or Azure cloud platforms • Implement Infrastructure-as-Code (IaC) using Terraform, Pulumi, or CloudFormation • Configure networking, compute, storage, IAM, and cloud security policies • Optimize infrastructure performance, scalability, and cost efficiency CI/CD & Deployment Automation • Build and maintain CI/CD pipelines using GitHub Actions, Jenkins, GitLab CI, or CircleCI • Automate build, testing, deployment, and rollback workflows across environments • Ensure zero-downtime deployments and reliable release processes • Improve deployment speed, consistency, and operational reliability Containerization & Kubernetes • Manage Docker containers and Kubernetes clusters for microservices deployment • Monitor cluster health, resource allocation, and workload performance • Optimize orchestration strategies for scalability and reliability • Troubleshoot container and deployment-related issues across environments Monitoring, Logging & Incident Response • Implement observability and monitoring solutions using Prometheus, Grafana, Datadog, or New Relic • Configure centralized logging and alerting pipelines using ELK Stack, Splunk, or similar tools • Participate in incident response and on-call rotations • Perform root cause analysis (RCA) and implement preventive solutions post-incident Security & Compliance • Apply infrastructure security best practices including IAM, encryption, secrets management, and least-privilege access • Support compliance requirements such as SOC 2, HIPAA, PCI-DSS, or GDPR where applicable • Conduct vulnerability scans, patch management, and security hardening activities • Ensure infrastructure remains secure, compliant, and audit-ready Collaboration & Process Improvement • Partner closely with development teams to improve deployment workflows and automation • Support developers with infrastructure troubleshooting and environment management • Identify opportunities to improve reliability, scalability, and operational efficiency • Maintain clear documentation for infrastructure, deployment pipelines, and operational procedures What Makes You a Perfect Fit • Strong problem solver who thrives at the intersection of development and operations • Calm, analytical, and methodical during incidents and high-pressure situations • Passionate about automation, infrastructure scalability, and reliability engineering • Strong communicator who collaborates effectively across technical teams • Proactive mindset focused on preventing issues before they impact production Required Experience & Skills • 3+ years of experience in DevOps, Site Reliability Engineering (SRE), or Infrastructure Engineering • Proficiency with at least one major cloud provider (AWS, GCP, or Azure) • Strong experience building and managing CI/CD pipelines • Hands-on experience with Docker and Kubernetes • Infrastructur