numi
Senior Platform Engineer
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Senior Platform Engineer
Numi are partnering with an innovative, high-growth AI and data intelligence platform to hire a Senior Platform Engineer who thrives on cross-functional problem-solving. This isn't a siloed DevOps or pure backend role; it’s designed for a versatile engineer who enjoys bridging the gap between customer-facing feature development, cloud infrastructure, and delivery pipelines.
You’ll join a nimble, high-impact engineering team tightly integrated with Product. One week you might be tuning an application service or data ingestion pipeline; the next, you could be diagnosing an EKS cluster, driving GitOps automation, or strengthening system observability.
Why Join?
High Ownership
True autonomy to evaluate, prototype, build, and embed internal tools and platform improvements for the team.
Product-Minded Culture
Work closely with product partners to shape features from concept to production.
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Agile Scale-Up Vibe
A tight-knit, collaborative team that values fast prototyping, pragmatic execution, and technical curiosity.
What You’ll Bring (Essential)
Broad Engineering Scope
- Deep expertise in at least one modern language/platform, with the ability to quickly get productive across others.
Full-Stack Understanding
- Solid grasp of how frontend and backend architectures interconnect.
Language Flexibility
- Practical experience across TypeScript (main language), Python, and .NET (willingness to jump into each as the problem demands).
Cloud & Containers
- Hands-on experience with AWS and Kubernetes (EKS preferred, including container troubleshooting, networking, permissions, and production diagnostics). GCP or Azure experience is also welcome.
Infrastructure as Code & Delivery
- Proficiency with Terraform (or similar), GitOps, and ArgoCD.
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Production Reliability
- Strong foundation in CI/CD, observability, secrets management, and safe production deployment practices.
AI-Assisted Workflows
- Confident, responsible use of modern coding agents or LLMs, backed by strong testing and verification habits.
Nice to Have
- Experience building or integrating AI/LLM-powered features, RAG architectures, agentic workflows, or evaluation tooling.
- Exposure to modern frontend frameworks (Angular, React, or Vue).
- Knowledge of event messaging, vector search, or high-volume data pipelines (RabbitMQ, Celery, embeddings, vector databases).
- Track record of improving cloud cost visibility, security posture, and DR/multi-environment consistency.
- Prior experience in a high-growth SaaS or data-product environment where engineers own services end-to-end.
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