Platform DevOps Engineer

Guidant Global
United States
5 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Working hours
Regular working hours

Tech stack

Artificial Intelligence DevOps Monitoring of Systems Machine Learning Kubernetes Infrastructure Automation Frameworks Machine Learning Operations Terraform

Job description

You’ll work on real, live systems where delivery quality, operational reliability, and adaptability matter more than theoretical knowledge. Collaboration across engineering, platform and architecture teams is expected, with a strong emphasis on ownership and pragmatism.

What You’ll Be Doing

  • Design, deploy and operate platforms and services on Kubernetes-based environments

  • Manage deployments using Helm, with supporting infrastructure defined through tools such as Terraform

  • Own systems and applications through their full lifecycle, from deployment to live operation and support

  • Ensure systems are supportable, secure, monitored and reliable in production

  • Configure and operate machine learning workloads in production, focusing on running models rather than training

  • Monitor system performance, identify issues and troubleshoot problems in live environments

  • Work closely with engineers, architects and stakeholders to deliver integrated platform solutions

  • Contribute to improving DevOps, platform and operational practices across teams

Requirements

Strong experience as a DevOps Engineer, Platform Engineer or similar senior hands-on role

  • Proven experience deploying and operating systems on Kubernetes platforms

  • Strong hands-on experience with Helm for managing application deployments

  • Experience managing systems through their full operational lifecycle

  • Solid understanding of monitoring, supportability and reliability concerns in production

  • Experience using infrastructure-as-code tools such as Terraform

  • Confidence taking responsibility for live systems and outcomes

MLOps experience is highly attractive, particularly operating AI or machine learning models in production. The focus is on operating models, not training them.

About the company

As an organisation and as a team, Guidant Global are committed to fostering an equitable, diverse and inclusive workplace, where every employee and contractor feels valued and empowered throughout their time with us.

We actively seek to recruit talent from all backgrounds, and to draw on a rich blend of experiences, perspectives and creativity. We believe that when people are respected and included, they are motivated to bring their best and whole selves to work, leading to innovative solutions and exceptional outcomes for all parties.

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