Staff / Principal Software Engineer – Cloud Platform & SaaS

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.

Note: Final leveling (Staff vs. Principal) will be calibrated during the interview loop based on demonstrated depth of organizational influence, architectural scope, and system design experience.

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…