DevOps Engineer - Up to $300k + Equity

A fast-growing AI infrastructure startup serving the financial services sector is hiring DevOps Engineers to help build the backbone of an enterprise-grade platform handling highly sensitive data at scale.

This is an opportunity to join an early-stage business with strong backing, elite founders, and genuine product-market demand. The company has recently launched from stealth and is scaling quickly.

The Role

You’ll be responsible for building secure, scalable infrastructure powering an AI-driven data platform used by sophisticated financial institutions.

The environment combines high-performance engineering with real-world complexity: large-scale data ingestion, private cloud deployments, strict governance requirements, low-latency systems, and infrastructure supporting modern LLM workloads.

This is a high-impact role where strong engineers can move quickly, own meaningful systems, and help shape the company’s technical foundation.

What You’ll Be Doing

Designing and building scalable infrastructure for AI-powered data products
Supporting ingestion pipelines across structured and unstructured data sources
Building secure private-cloud deployments with tenant isolation
Implementing governance, permissions, auditability, and access controls
Developing monitoring, alerting, and observability systems
Partnering with AI / Research teams to optimise infrastructure for model training and inference
Building internal platforms for agents, orchestration, and deployment workflows
Owning CI/CD and infrastructure-as-code across multi-cloud environments
Helping scale systems that process sensitive enterprise financial data in real time

What They’re Looking For

3–10 years in infrastructure, platform, SRE, DevOps, or backend systems engineering
Strong cloud experience across AWS / GCP / Azure
Hands-on expertise with Kubernetes / containers
Experience building production-grade data pipelines / ETL systems
Strong understanding of observability tooling (Datadog or similar)
Security-minded engineer with experience in regulated or high-trust environments
Comfortable working in startup pace with high ownership

Nice to Have

Experience with AI infrastructure (SageMaker, Bedrock, GPU workloads, inference platforms)
Experience in fintech / banking / enterprise data environments
Multi-cloud architecture experience
Exposure to agentic systems / LLM infrastructure
Strong CS fundamentals or pedigree engineering background

Package

Up to $300k base
Meaningful equity upside
Multiple hires planned
Fast interview process
Flexible working hours with strong in-office culture

Why Join?

This is a chance to join early and help define the infrastructure layer of a company solving a real problem in one of the largest industries in the world.

If you enjoy hard engineering problems, care about quality, and want to build modern AI systems in a serious environment — this is worth a look.

Atarus

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DevOps / Infra Engineer - Up to $300K

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