Staff / Principal Software Engineer – Cloud Platform & SaaS

What you'll do

• Design and scale multi-tenant Kubernetes operators, controllers, and orchestration for customer database clusters.
• Develop backend systems and lead cloud networking across AWS, Azure, and GCP; contribute to AI compute, vector indexing, and ingestion infrastructure.
• Handle Tier-3 production escalations, strengthen security and compliance controls, and mentor engineers through technical reviews and architectural guidance.

What they ask for

• 8–12+ years of professional software engineering experience designing, deploying, and operating distributed enterprise SaaS platforms at scale.
• Expert proficiency in Go and Python, with Kubernetes internals and custom controller development experience.
• Deep operational knowledge of cloud networking constructs and demonstrated ability to debug complex production issues across network, memory, and distributed systems.
• Practical familiarity with compute, caching, and storage for real-time AI/ML pipelines, RAG, and vector embeddings.

Nice to have

• Experience building managed DBaaS or data-intensive streaming infrastructure; CNCF or cloud-native open-source contributions.
• Familiarity with Terraform, Pulumi, or Crossplane.

Pay

$140,000 - $215,000 USD per year (total salary range; Boston, Chicago, New York, Austin, Phoenix, Las Vegas, Seattle, Washington, or Dallas)

Tools

Kubernetes, Go, Python, AWS, Azure, GCP, Envoy, Cilium

AI focus

Collaborate on scalable compute, vector indexing pipelines, and ingestion infrastructure for real-time GenAI and vector workloads; requires familiarity with AI/ML pipelines, RAG, and vector embeddings.