Systems Engineer

JoinedUp by Beeline is a modern SaaS platform for high-volume shift-based workforce management. We connect staffing suppliers, venues, and frontline workers with real-time booking, compliance, scheduling, and analytics. As part of the global Beeline ecosystem, we are expanding our AI capabilities to deliver smarter matching, predictive staffing, automated communications, and intelligent recommendations.

Purpose of the Position:

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 productionise AI workloads.

Responsibilities:

• Provision, and maintain scalable infrastructure on AWS using Terraform.
• Deploy and manage containerised applications with Docker, Kubernetes, and AWS Fargate.
• Write automation scripts and tools in Python and Bash.
• Build and optimise 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).

Requirements (Skills and experience)

Essential Requirements (Mid-Level)

• 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

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.

To learn more about Beeline, our solutions, our culture, and available positions visit:

https://www.beeline.com/careers/ Please also visit https://www.joinedup.com to find out more about the JoinedUp approach. This is the division of Beeline this role is relevant to

This list of "Requirements and Responsibilities" is not intended to be limiting. The Company reserves the right to revise this job description based on the actual job requirements as varied from time to time.

Equal Opportunity Employer Minorities/Women/Veterans/Disabled

All emails from Beeline will be sent from an email address ending at “beeline.com". Should you have any doubts about the authenticity of an email, or other communication that is represented as coming from Beeline, please send an email to [email protected], before taking any action in relation to the correspondence, and certainly before providing any further contact information to that individual whatsoever