DevOps Engineer

This is a fully remote position, open to applicants in United Kingdom.

📋 Description

• Design and oversee CI/CD and deployment pipelines for applications based on AWS and Kubernetes.

• Provide guidance and support to product teams by clarifying deployment needs.

• Work alongside product teams to establish best practices in cloud and container technologies.

• Manage IT infrastructure within cloud computing environments.

• Automate processes for code changes, builds, testing, and analysis using CI tools.

• Monitor application performance following release.

• Create and enhance monitoring systems for automated alerts.

• Design and manage DevOps infrastructure, pipelines, and procedures.

• Integrate DevSecOps security measures throughout the delivery lifecycle, including automated SAST, DAST, dependency, secrets, and container image scanning.

• Implement least-privilege IAM, network segmentation, encryption, and secrets management.

• Strengthen Kubernetes clusters and cloud environments using policy-as-code, admission controls, runtime protection, and compliance with CIS/NIST benchmarks.

• Assist with vulnerability management, incident response, audit readiness, and compliance initiatives.

• Utilize AI-assisted tools for pipeline development, infrastructure code, troubleshooting, and incident analysis.

• Employ AI/ML-driven monitoring features such as anomaly detection, alert noise reduction, and automated root-cause analysis.

• Develop and maintain deployment pipelines and infrastructure for AI/ML and LLM workloads, including model serving and GPU-enabled clusters.

• Establish responsible AI guidelines addressing data privacy, access controls, and review of AI-generated code and configurations.

⛳️ Requirements

• 8+ years of experience managing high-traffic applications and intricate technical infrastructure.

• Demonstrated expertise in supporting cloud environments.

• Practical experience in applying AWS Well-Architected principles.

• Familiarity with Kubernetes clusters and customer cloud environments.

• Experience with AWS services such as ECS, EKS, ALB, EC2, S3, RDS, CloudFront, and Route53.

• Proficiency in using infrastructure-as-code tools like Terraform, CloudFormation, or Pulumi.

• Experience with CI/CD tools including Octopus Deploy, GitHub Actions, Jenkins, TeamCity, or CodePipeline.

• Familiarity with APM and logging tools such as Datadog, Grafana, Prometheus, Loki, ELK, or App Insights.

• Understanding of cloud networking concepts.

• Knowledge of software development lifecycle processes and version control systems.

• Familiarity with DevSecOps practices, AWS security services, container and supply chain security, and security scanning tools.

• Understanding of Kubernetes security and secrets management.

• Hands-on experience with AI coding and operations assistants like GitHub Copilot, Claude, or Amazon Q.

• Comprehension of deploying and operating AI/ML workloads and monitoring their performance and costs.

• Awareness of AI-specific risks such as prompt injection, data leakage, and insecure AI-generated code.

🏝️ Benefits

• Dynamic, remote-friendly work environment.

• Collaborative global team.

• Equal opportunity employer.

• Welcoming and supportive workplace.