--- title: 'Staff / Principal Software Engineer – Cloud Platform & SaaS at SingleStore' canonical: 'https://feeny.ai/job/staff-principal-software-engineer-cloud-platform-saas-singlestore-united-states-qyfnhskpwca0' type: 'job' last_seen: '2026-11-01' --- # Staff / Principal Software Engineer – Cloud Platform & SaaS at SingleStore - **Company:** SingleStore - **Location:** United States - **Posted:** 2026-10-27 - **Last confirmed live:** 2026-11-01 - **Apply:** https://job-boards.greenhouse.io/singlestore/jobs/8318150 ## Job description 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 architecture by unifying transactions and analytics, SingleStore empowers digital leaders to deliver exceptional, real-time data experiences to their customers. SingleStore is venture-backed and headquartered in San Francisco with offices in Sunnyvale, Raleigh, Seattle, Boston, London, Lisbon, Bangalore, Dublin and Kyiv. Consistent with our commitment to diversity & inclusion, we value individuals with the ability to work on diverse teams and with a diverse range of people. To all recruitment agencies: SingleStore does not accept agency resumes. Please do not forward resumes to SingleStore employees. SingleStore is not responsible for any fees related to unsolicited resumes and will not pay fees to any third-party agency or company that does not have a signed agreement with the Company. SingleStore values individuals for their unique skills and experiences, and we’re proud to offer roles in a variety of locations across the United States. Salary is based on permissible, non-discriminatory factors such as skills, experience, and geographic location, and is just one part of our total compensation and benefits package. Certain roles are also eligible for additional rewards, including merit increases and annual bonuses. For candidates residing in California, please see our[California Recruitment Privacy Notice](https://www.singlestore.com/singlestore-california-recruitment-privacy-notice/). For candidates residing in the EEA, UK, and Switzerland, please see our[EEA, UK, and Swiss Recruitment Privacy Notice.](https://www.singlestore.com/recruitment-privacy/) SingleStore’s total salary range for this role, if based in Boston, Chicago, New York, Austin, Phoenix, Las Vegas, Seattle, Washington, or Dallas is: $140,000 - $215,000 USD per year Req ID: ENG00570 ## About SingleStore ## Company Overview - **One-liner**: SingleStore provides a distributed, real-time SQL database platform designed for low-latency analytics, transactions, and AI workloads. - **Entity Type**: Private (Series E; $964.2M total funding) - **Headquarters**: San Francisco, California, United States - **Founded**: 2011 - **Founders**: Eric Frenkiel, Nikita Shamgunov, Adam Prout ## Core Business - **Primary industry**: Database / Data Infrastructure / Real-Time Analytics - **Target customers**: B2B – enterprises and mid-market companies needing high-performance SQL for transactional and analytical workloads; also developers building data-intensive applications. - **Mission or purpose**: To be the one platform for all data, enabling enterprises to engage with insight in every moment and adapt to change as it happens. ## Products & Services - **SingleStore (Database Engine)**: A distributed, relational SQL database that handles transactions, analytics, and search in a single system. Supports JSON, geospatial, time-series, and vector data. - **SingleStore Helios**: The fully managed cloud service (DBaaS) that autonomously manages thousands of high-performance databases. - **Aura Analyst**: An AI-powered data analyst that converts natural language into accurate SQL queries and delivers insights. - **AI & ML Functions**: Built-in SQL functions for LLMs, embedding models, and machine learning (e.g., anomaly detection, classification, sentiment analysis). ## Market Standing - **Valuation**: Not publicly disclosed (last known valuation from Series E in 2020; total funding $964.2M) - **Key Metric**: Annual Revenue ~$100M (per LinkedIn), Total Funding $964.2M - **Notable Investors/Partners**: Vector Capital Management (parent company), with prior rounds including investors such as GV, Accel, and others. Key partners include major cloud providers (AWS, Azure, GCP) and technology ecosystem players. - **Growth Signals**: 388 employees; operates in 18 countries; strong hiring in engineering (multiple open roles for senior software engineers, AI platforms, SRE). Recent product launches include Aura Analyst and AI/ML functions. LinkedIn follower growth of +14.4% year-over-year. ## Competitive Advantages - **Unified engine**: Combines transactions, analytics, and search in one system – eliminating complex pipelines and reducing data movement. - **Ultra-low latency**: Designed for petabyte-scale data with consistent sub-millisecond query performance, even under high concurrency. - **SQL-native AI**: Allows users to run LLMs, embedding models, and ML models directly in SQL, lowering the barrier for AI adoption. - **Flexible deployment**: On-premises, any cloud, Kubernetes, or fully managed (Helios). ## Strategic Focus - **AI integration**: Embedding AI capabilities directly into the database (Aura Analyst, AI Functions, ML Functions) to make data more actionable. - **Cloud growth**: Expanding Helios managed service and multi-cloud support (including Apache Iceberg integration). - **Enterprise scale**: Targeting high-concurrency, mission-critical workloads in industries like finance, e-commerce, and SaaS. ## Why Work Here - **Culture**: Values include “Customers First,” “Performance Driven,” “Innovation Forward,” and “Open & Honest Communication.” - **Remote/Hybrid**: Flexible work policy – “Contribute from Anywhere”; remote-friendly with offices in San Francisco, Portland, Seattle, Boston, London, Lisbon, and Kyiv. - **Benefits**: Comprehensive health/dental/vision, equity grants, flexible time off, parental leave, $500 home office stipend, fitness subsidy, Modern Health app subscription, charitable donation matching with paid volunteer time off, 401k, cell/internet stipend. - **Engineering culture**: Strong emphasis on systems-level programming (C++, distributed systems), AI platform development, and SRE. Teams are structured around Engine, Platform, Infrastructure, and Web. ## Sources 1. [singlestore.com](https://www.singlestore.com/) 2. [singlestore.com/careers](https://www.singlestore.com/careers/) 3. 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