Newcode. ai
Technology
SeniorDevOpsEngineer
Neural analysis suggests this role is
optimal for Senior candidates.
“Senior DevOps Engineer at Newcode. ai. Skills: DevOps, Cloud Infrastructure, Kubernetes, AI Production. Build cloud environments. Run cloud environments”
Industry & Context.
Reason about data flow
What They're Looking For.
Must Have
7+ years production infrastructure, Automate by default, Think about failure, Take security seriously, Use AI coding tools, Fine in a startup, Terraform: 5+ years, Kubernetes (AKS): 5+ years, Azure: 3+ years, Helm: 3+ years, CI/CD: 2+ years, Microservices track record, Multi-tenant architecture track record
Nice to Have
Python for tooling, PostgreSQL administration, Bash scripting, Work with AI agents, GPU workloads experience, Model-inference workloads experience, Observability tooling experience, Security background
What You'll Do.
Build cloud environments
Run cloud environments
Build CI/CD pipelines
Keep tenant isolation tight
Manage infrastructure for model serving
Work with engineers shipping features
Keep path to production smooth
How You'll Work.
Team & Collaboration
Work with engineers
Full Job Description
### About Newcode We build AI tools for firms in legal and professional services: software people use for real work, not demos. We started a few months ago and already have paying clients who rely on what we ship. The team is small and moving fast. ### The role You'll own the infrastructure our AI products run on. That means the cloud environments, the deployment pipelines, and the Kubernetes setup that keeps everything serving reliably under load. A lot of the interesting work is specific to running AI in production: serving models cost-effectively, scaling for uneven demand, and keeping confidential client data properly isolated in a multi-tenant setup. You're joining early enough to shape how we do this rather than inherit someone else's decisions. You'll set the practices, make the architecture calls, and live with them. **Requirements** ### Stack Azure, Kubernetes (AKS), Terraform, Helm, GitHub Actions. Microservices, multi-tenant architecture, infrastructure-as-code throughout. ### What the job involves * Building and running our cloud environments and CI/CD pipelines so deployments are fast, repeatable, and boring. * Owning reliability: monitoring, alerting, and the kind of automation that means nobody gets paged for the same thing twice. * Keeping security and tenant isolation tight, since clients trust us with confidential material. * Managing the infrastructure behind model serving and AI workloads, including cost and scaling under uneven demand. * Working with the engineers shipping features so the path to production stays smooth as the team grows. ### Who you are * At least seven years running production infrastructure for web applications. * You automate by default and treat manual, one-off fixes as a smell. * You think about failure, blast radius, and recovery, not just the deploy that goes well. * You take security and multi-tenant isolation seriously and can reason about where data is allowed to flow. * You use AI coding tools (Claude Code, Cursor, C
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