SingleStore connects to Apache Spark, HDFS, Amazon S3, Tableau, Azure, and many other providers so you can get real-time insights from your data. Read more! Backed by Accel, Insight and Y Combinator.
About the role
We are looking for a high-impact Staff or Principal Software Engineer to drive the architecture, reliability, and scaling of our managed cloud offering, SingleStore Helios . In this role, you will lead the evolution of our multi-cloud SaaS control and data planes, manage high-density Kubernetes deployments across major hyperscalers, and partner directly with our AI Platform initiatives. Found on 1752vc Careers, the job board for startup and VC roles.
What they're looking for
- 8–12+ years of professional software engineering experience designing, deploying, and operating distributed enterprise SaaS platforms at scale
- Deep Kubernetes Expertise: Hands-on mastery of Kubernetes internals, CRDs, custom controller development (client-go/controller-runtime), scheduling dynamics, and container networking/runtime internals
- Strong OO / Systems Proficiency: Expert proficiency in Go and Python with an emphasis on concurrent programming, low-latency I/O, and distributed state management
- Cloud Provider Networking: Deep operational literacy in cloud networking constructs (e.g., Transit Gateways, DirectConnect/ExpressRoute, Private Service Connect, CIDR subnetting, MTLS, and load balancing)
- AI Platform Awareness: Practical familiarity with the compute, caching, and storage dynamics needed for real-time AI/ML pipelines, retrieval-augmented generation (RAG), and vector embeddings
- Diagnostic Acumen: Proven ability to debug complex, non-deterministic bugs in production across network layers, memory allocations, and distributed consensus
More about this role
We are looking for a high-impact Staff or Principal Software Engineer to drive the architecture, reliability, and scaling of our managed cloud offering, SingleStore Helios . In this role, you will lead the evolution of our multi-cloud SaaS control and data planes, manage high-density Kubernetes deployments across major hyperscalers, and partner directly with our AI Platform initiatives.
As a senior technical leader, you will balance greenfield architecture with hands-on systems programming and operational resilience. You will also allocate approximately 10–20% of your bandwidth toward high-priority Tier-3 operational escalations, identifying root causes in production distributed systems to inform durable platform architecture.
- Architect Distributed SaaS Infrastructure: Design, implement, and scale multi-tenant Kubernetes operators, custom controllers, and orchestration workflows managing thousands of customer database clusters globally.
- Write Resilient Systems Code: Develop performant, fault-tolerant backend services and control planes using modern Go language & Python.
- Lead Cloud Networking Design: Own cross-cloud networking topology, ingress/egress controls, multi-region...
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