Build what matters

We're looking for a senior DevOps or Platform Engineer to design, build, and operate cloud infrastructure for our clients. You'll work across AWS, GCP, and Azure — designing CI/CD pipelines, Kubernetes clusters, and GitOps workflows that run reliably in production.

What you'll do:

• –Design and implement Kubernetes-native platforms across multiple cloud providers
• –Build GitOps workflows using ArgoCD, Crossplane, and Terraform
• –Set up observability, alerting, and incident response tooling
• –Implement security controls and help clients meet compliance requirements

What we're looking for:

• –4+ years in DevOps, platform engineering, or SRE roles
• –Strong Kubernetes experience — administration, networking, security
• –Proficiency with Terraform and infrastructure-as-code practices
• –Experience with at least two of AWS, GCP, Azure in production

We're looking for a Data Scientist or ML Engineer with production experience to build and deploy AI and ML systems for our clients. You'll work on LLM pipelines, RAG systems, predictive models, and NLP applications — from design through to deployment and monitoring.

What you'll do:

• –Design and build LLM-based pipelines, RAG systems, and AI agents
• –Train, evaluate, and deploy ML models to production
• –Build data pipelines that feed model training and inference
• –Set up observability and evaluation frameworks for AI systems

What we're looking for:

• –3+ years in data science, ML engineering, or applied AI roles
• –Strong Python skills; familiarity with LangChain, LlamaIndex, or similar
• –Experience deploying models to production (APIs, containers, cloud)
• –Comfort working with real data and undefined problem spaces