> Markdown version of [/jobs/ext/4317998-staff-principal-software-engineer-cloud-platform-saas](https://www.wearedevelopers.com/jobs/ext/4317998-staff-principal-software-engineer-cloud-platform-saas). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Staff / Principal Software Engineer - Cloud Platform & SaaS - **Company:** Singlestore Incorporated - **Location:** Seattle, WA, United States - **Experience:** Expert - **Salary:** $140,000.0 - $215,000.0 - **Contract:** Permanent contract - **Skills:** Amazon Web Services, Microsoft Azure, Software as a Service, Cloud Computing, Cloud Engineering, Databases, Concurrent Computing, Software Debugging, Distributed Systems, Domain Name System (DNS), Fault Tolerance, Python (Programming Language), Network Layer, PCI Data Security Standards, Software Engineering, System Programming, Pulumi, Google Cloud, Load Balancing, Cloud Platform System, Helios, Istio, Vector Embeddings, Caching, Generative AI, Amazon Virtual Private Cloud (VPC), Backend, AI Platforms, Kubernetes, Low Latency, Machine Learning Operations, Terraform, Golang - **Published:** October 26, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=2ea3451062face31 ## About the Role * 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., * 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). ## Description 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.