Mid-Level Systems Engineer - Ireland location

We’re looking for a Mid-Level DevOps / Systems Engineer who is excited about both traditional infrastructure and emerging AI/ML platforms. You will report to our Engineering Manager and help build and operate the reliable, scalable AWS foundation that powers our core platform and our growing AI features (using Amazon Bedrock, Anthropic Claude, and similar tools). This is a hands-on role with room to grow: you’ll own meaningful projects, collaborate closely with backend and data teams, and help shape how we productionize AI workloads., * Provision, and maintain scalable infrastructure on AWS using Terraform.

• Deploy and manage containerized applications with Docker, Kubernetes, and AWS Fargate.
• Write automation scripts and tools in Python and Bash.
• Build and optimize CI/CD pipelines for both backend services and AI components using GitHub Actions.
• Integrate and operate AI/ML services:
• Amazon Bedrock (model invocation, agents, knowledge bases, guardrails).
• Anthropic Claude models via Bedrock or direct API.
• Monitor performance, cost, and reliability of both traditional and AI workloads (CloudWatch, Prometheus, custom dashboards).
• Ensure security, compliance, and responsible AI practices (data privacy, model safety, cost controls).
• Troubleshoot production issues and contribute to on-call rotation.
• Collaborate on infrastructure improvements that support AI-driven features (e.g., real-time shift recommendations, chat assistants, predictive no-show detection).

Do you have experience in Virtual Private Clouds?, * 3-5 years of hands-on DevOps / Systems Engineering experience.

• Solid experience with AWS core services (EC2, Fargate, VPC, IAM, S3, RDS, CloudWatch).
• Working knowledge of Terraform (or similar IaC).
• Proficiency with Docker and container orchestration (Kubernetes or ECS).
• Comfortable scripting in Python and Bash.
• Understanding of AI/ML operational concerns: latency, cost optimisation, model versioning, prompt engineering basics, and guardrails.
• Good grasp of networking, security, and observability best practices.
• Strong problem-solving skills and eagerness to learn.

Nice-to-Have

• Experience with CI/CD tools (GitHub Actions, CodePipeline, ArgoCD).
• Exposure to real-time or high-volume SaaS systems.
• Basic knowledge of data pipelines or event-driven architecture (EventBridge, SQS, Kafka).
• Practical experience integrating Amazon Bedrock and/or Anthropic Claude

Beeline pioneered the world’s first extended workforce platform to solve the complexities of managing the modern workforce. With a data set encompassing more than 30 million workers and over $700 billion in talent spend spanning more than 20 years, its intelligence-driven platform transforms how businesses engage, manage, and optimize external talent across more than 120 countries. Enterprises benefit from our unmatched experience and innovation, deeply seasoned experts, and industry-leading partner network to connect them to the remarkable talent within the global extended workforce. To learn more, visit beeline.com., The Company: If you love more of a less-formal work environment, a competitive compensation and benefits offering - and have a winning attitude, Beeline is for you! Beeline’s Extended Workforce Platform connects all users - clients and their service providers who create the demand for work, suppliers who curate and employ talent, and the talent who produce outcomes through one cloud-based platform. As the world’s first Extended Workforce Platform, we have the deepest, most seasoned team of experts in the industry and are known for the great care we take with our clients, partners, and employees alike.

Our Vision is: Every person, given the right opportunity, is capable of greatness. Every business, given the right talent, is capable of superior outcomes.

Our Mission is: Our trusted platform connects businesses to the remarkable talent within the global extended workforce.