Senior DevOps Engineer (MLOps Focus)
Flatgigs · Remote · Location not stated
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First recorded by Psst: 2 November 2026. Sign in with Google to continue to the employer. A free account is enough.
The 20-second read
- Experience
- 4+ years required
- Where you can live
- Location not stated
- Skills and tools
- gcp, azure, kubernetes, terraform, ci/cd, machine learning
- Job type
- Full-time
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Job details
- Where you can work
- Location not stated
- Employment type
- Full-time
- Advertised pay
- Not stated by the employer
- Experience
- 4+ years required
- Employer publication date
- 14 April 2026
- First recorded by Psst
- 2 November 2026
- Last checked at the source
- 2 November 2026
About the job
At AHOY, we reimagine and redefine movement. We’re building a next-generation technology ecosystem across mobility, logistics, and infrastructure, enabling innovators to create, scale, and operate smarter systems.
We’re looking for a hands-on Senior DevOps Engineer to help us build, scale, and secure our multi-cloud infrastructure.
This role sits at the intersection of DevOps, AI infrastructure, and cloud security, where you’ll take ownership of systems powering advanced machine learning workloads. As part of a fast-moving engineering team, you’ll also play a key role in supporting internal IT operations, ensuring reliability across both platform and people.
What You’ll Work on
- Design and maintain secure, scalable cloud infrastructure across Azure and GCP
- Build and optimise CI/CD pipelines and deployment workflows
- Implement and manage Infrastructure as Code (IaC) (Terraform or similar)
- Deploy and operate machine learning pipelines in production environments
- Manage and scale multi-cluster GPU environments for AI workloads
- Set up monitoring, logging, and alerting systems to ensure reliability
- Apply cloud security best practices across infrastructure and access layers
- Troubleshoot and resolve system, deployment, and performance issues
- Provide hands-on IT support (user access, devices, internal systems) to ensure smooth day-to-day operations
- Collaborate with engineering teams to improve scalability, performance, and automation
Requirements
- 4+ years of experience in DevOps / SRE / Infrastructure Engineering
- Strong experience with Azure and Google Cloud Platform (GCP)
- Hands-on experience building and managing CI/CD pipelines
- Solid expertise in Infrastructure as Code (Terraform, Pulumi, etc.)
- Experience managing Kubernetes environments and GPU workloads
- Proven experience deploying machine learning models or MLOps pipelines
- Strong understanding of cloud security, networking, and system reliability
- Comfortable handling IT support responsibilities alongside core DevOps work
- Strong problem-solving mindset with the ability to work independently
Apply on Flatgigs's siteMore remote DevOps and site reliability engineer jobs →
- Open 7 months
- No pay listed
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