Lead DevOps Engineer

Descrição do trabalho

Lead DevOps Engineer

Permanent

Location: Portugal - Remote

Salary: 75,000 - 80,000 Euros (+ benefits)

Skills: AWS, Terraform, CI/CD, Production SaaS experience

We are looking to recruit a Lead DevOps Engineer for a leading software company. This is a hands-on technical leadership role, ideal for someone who enjoys owning AWS infrastructure strategy while remaining close to engineering delivery.

You’ll play a key role in shaping platform standards, improving reliability, embedding security best practice, and driving automation across the organisation.

This is a fully remote role based in Portugal.

The Role

• Platform Architecture & Cloud Engineering
• Own AWS multi-account infrastructure architecture (secure-by-design)
• Define infrastructure standards across networking, IAM, logging and disaster recovery
• Lead Infrastructure-as-Code strategy (Terraform preferred)
• Ensure scalability, resilience and high availability across production environments

• CI/CD & Release Automation
• Design and optimise CI/CD pipelines
• Improve deployment reliability and reduce rollback frequency
• Standardise release processes across engineering teams
• Implement progressive delivery practices

• Reliability & Observability
• Define and track SLIs/SLOs
• Enhance monitoring, alerting and incident response processes
• Lead post-incident reviews and root cause analysis
• Drive reduction of operational toil

• Security & Compliance
• Embed DevSecOps controls into pipelines
• Implement least-privilege IAM models
• Support ISO 27001 and compliance evidence automation

• FinOps & Cost Optimisation
• Partner on cloud cost optimisation strategy
• Improve tagging standards and cost allocation models
• Implement rightsizing and automation policies

• About You
• 5+ years’ experience in DevOps / Cloud Engineering
• Strong AWS expertise (VPC, IAM, EC2, RDS, EKS, Lambda)
• Proven Infrastructure-as-Code experience (Terraform preferred)
• CI/CD tooling experience (GitHub Actions, GitLab CI, Jenkins)
• Experience operating production SaaS environments
• Strong observability tooling knowledge (Datadog, Prometheus, ELK etc.)
• Incident management and root cause analysis experience
• Experience in regulated or security-conscious environments is highly desirable