DevOps Engineer

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

📋 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 specifications.

• Work together with product teams on best practices for cloud and container utilization.

• Manage IT infrastructure within cloud computing settings.

• Automate code modifications, builds, testing, and analysis through CI tools.

• Monitor performance following releases.

• Create and enhance monitoring systems for automated alerts.

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

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

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

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

• Assist with vulnerability management, incident response, audit preparedness, and compliance initiatives such as SOC 2 and ISO 27001.

• Utilize AI-assisted tools for pipeline creation, infrastructure coding, troubleshooting, and incident analysis.

• Employ AI/ML capabilities for monitoring, including anomaly detection, alert noise reduction, and automated root-cause analysis.

• Construct and manage deployment pipelines and infrastructure for AI/ML and LLM-based workloads, incorporating model serving, GPU-enabled clusters, and cost management.

• Set up guidelines for responsible AI utilization in engineering workflows.

⛳️ Requirements

• Over 8 years of experience in maintaining high-traffic applications and intricate technical infrastructures.

• Established background in supporting cloud environments.

• Practical experience translating AWS Well-Architected principles into actionable steps.

• Familiarity with Kubernetes clusters and customer cloud environments.

• Proficiency with AWS services, including ECS, EKS, ALB, EC2, S3, RDS, CloudFront, and Route53.

• Experience with infrastructure-as-code tools such as Terraform, CloudFormation, or Pulumi.

• Knowledge of CI/CD tools like Octopus Deploy, GitHub Actions, Jenkins, TeamCity, or CodePipeline.

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

• Understanding of networking principles in cloud environments.

• Familiarity with software development lifecycle processes and version control.

• Knowledge of DevSecOps practices, AWS security services, container and supply chain security, and security scanning tools.

• Awareness of Kubernetes security and secrets management.

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

• Understanding of deploying and managing 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.

• Proficiency in scripting languages such as Python or Bash is advantageous.

• Experience in Linux administration and networking is a plus.

• Familiarity with microservice and serverless architectures is beneficial.

• Experience with GitOps tooling is a plus.

• Relevant certifications may offer an advantage.

• Experience with databases is advantageous.

🏝️ Benefits

• Dynamic and remote-friendly work environment.

• Collaborative team with a global presence.

• Equal opportunity workplace.

• Supportive and welcoming work culture.