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.
What You’ll Do
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 routing, VPC peering/PrivateLink topologies, DNS architectures, and service mesh performance (Envoy, Cilium, or Istio) across AWS, Azure, and GCP.
Support AI Platform Capabilities: Collaborate across business units to build scalable compute, vector indexing pipelines, and ingestion infrastructure supporting real-time GenAI and vector workloads on Helios.
Production Operations & Tier-3 Escalations: Dedicate 10–20% of your bandwidth to diagnosing complex production issues, acting as the final escalation point for deep infrastructure failures, performance bottlenecks, and kernel/networking anomalies.
Security & Compliance by Design: Build infrastructure that upholds our strict enterprise compliance posture, maintaining automated controls for SOC 2 Type II, ISO 27001 , HIPAA, and PCI-DSS environments.
Technical Force Multiplier: Author clear RFCs/architectural design records (ADRs), mentor senior engineers, lead cross-functional reviews, and partner with Product and SRE teams to align roadmap priorities.
What We’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.
Communication & Collaboration: Outstanding written and oral communication skills, with a track record of driving cross-team alignment and influencing executive-level technical strategy.
Preferred Qualifications
Prior experience building managed database-as-a-service (DBaaS) or data-intensive streaming infrastructure.
Active open-source contributions within the CNCF or cloud-native container ecosystem.
Familiarity with Infrastructure-as-Code tooling (Terraform, Pulumi, Crossplane).
SingleStore delivers our cloud-native database with the speed and scale to power the world’s data-intensive applications. With a distributed SQL database that introduces simplicity to your data…