DevOps / Infra Engineer - Up to $300K

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.