{"schemaVersion":"jobsearcher.job.v1","id":"f92b79b0b4b2c94fb19a7235","url":"https://jobsearcher.com/jobs/f92b79b0b4b2c94fb19a7235","canonicalUrl":"https://jobsearcher.com/jobs/f92b79b0b4b2c94fb19a7235","title":"Senior Engineer - Cloud Platform","description":"About the Role\r\nWe are looking for a Senior Engineer to join our Cloud Platform team and take ownership of the architecture and evolution of our multi-tenant SaaS platform. You will work at the intersection of backend engineering and cloud infrastructure, designing and building the systems that power our control plane and data plane at scale.\r\nThis is a high-impact, high-ownership role. You will be a technical anchor for the team, driving architecture decisions, mentoring engineers, and partnering with product and infrastructure leaders to shape the future of our cloud platform.\r\nWhat You Will Do\r\nArchitecture & Design\r\nOwn end-to-end architecture for the cloud platform, spanning control plane and data plane\r\nDesign multi-tenant systems with strong isolation, security, and resource governance\r\nDefine platform abstractions that work across hybrid environments AWS, GCP, Azure, and on-premises\r\nDrive architectural reviews, RFCs, and ensure decisions are well-reasoned, documented, and scalable\r\nControl Plane\r\nArchitect and build systems for tenant provisioning, lifecycle management, and configuration\r\nDesign cluster orchestration and management systems that operate reliably at scale\r\nBuild APIs and automation that enable self-service for operators and tenants\r\nEnsure control plane is highly available, auditable, and observable\r\nData Plane\r\nDesign data path components for high-throughput, low-latency workloads\r\nBuild and enforce isolation boundaries between tenants at the data layer\r\nOptimise for performance, reliability, and cost efficiency at scale\r\nEngineering Excellence\r\nSet technical direction and coding standards for the platform team\r\nIdentify and address systemic risks — reliability, scalability, security, and operability\r\nPartner with SRE and DevOps on observability, incident response, and capacity planning\r\nMust Have\r\nSaaS Platform & Multi-Tenancy\r\nHands-on experience building or operating multi-tenant SaaS platforms at scale silo/pool/bridge models, noisy neighbour mitigation, tenant resource quotas, and lifecycle automation (onboarding, provisioning, off-boarding)\r\nKnowledge of data isolation strategies schema-per-tenant, database-per-tenant, row-level security, and per-tenant encryption at rest\r\nControl Plane & Data Plane\r\nProven experience with control plane / data plane separation and cluster management — Kubernetes operators, CRDs, admission web-hooks, RBAC, and namespace isolation\r\nUnderstanding of configuration management at scale — GitOps workflows, feature flags, and dynamic config propagation across distributed environments\r\nCloud & Hybrid Infrastructure\r\nDeep expertise in any one of AWS, GCP, or Azure VPC, IAM, managed Kubernetes (EKS/GKE/AKS), IaC (Terraform/Pulumi), and cost optimisation across hybrid environments\r\nFamiliarity with service mesh technologies — Istio, Linkerd, or Envoy — for traffic management, mTLS, and microservices observability\r\nDistributed Systems & Security\r\nStrong grasp of distributed systems fundamentals HA patterns, fault tolerance, observability (OpenTelemetry, Prometheus, Grafana), and resilience testing\r\nUnderstanding of zero-trust security, secrets management (Vault, AWS Secrets Manager)\r\nAI-Augmented Engineering\r\nActively uses AI coding assistants — Claude, Cursor, Copilot — for infrastructure tasks, runbook generation, incident analysis, and ADR drafting\r\nAble to craft effective prompts for complex engineering problems and critically evaluate AI output; evaluates and drives AI tool adoption across the platform team\r\nGood to Have\r\nExposure to FinOps practices\r\nHands-on experience building and maintaining observability platforms — centralised logging pipelines, metrics dashboards (Grafana, Datadog, or equivalent), distributed tracing infrastructure, and alert management systems that give engineering teams real-time visibility into platform health\r\nContributions to open-source infrastructure or platform projects\r\nCompensation & Benefits\r\nIn California, the estimated annual salary range for this role is $175K – $220K per year.\r\nActual compensation may vary and will be determined based on permissible, non-discriminatory factors such as skills, qualifications, experience, and location of the selected candidate.\r\nAdditional benefits for this role may include: equity, company bonus or sales commissions/bonuses; 401(k) plan; medical, dental, and vision benefits.","company":"Thoughtspot","rawCompany":"thoughtspot","city":"Mountain View","state":"CA","isRemote":false,"isActive":false,"createdAt":"2026-05-10T01:30:49.549Z","occupations":[{"code":"15-1299.08","title":"Computer Systems Engineers/Architects","slug":"computer-systems-engineers-architects"},{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"},{"code":"15-1211.00","title":"Computer Systems Analysts","slug":"computer-systems-analysts"}],"industries":[{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"},{"code":"513210","title":"Software Publishers","slug":"software-publishers"},{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Senior Engineer - Cloud Platform","description":"About the Role\r\nWe are looking for a Senior Engineer to join our Cloud Platform team and take ownership of the architecture and evolution of our multi-tenant SaaS platform. You will work at the intersection of backend engineering and cloud infrastructure, designing and building the systems that power our control plane and data plane at scale.\r\nThis is a high-impact, high-ownership role. You will be a technical anchor for the team, driving architecture decisions, mentoring engineers, and partnering with product and infrastructure leaders to shape the future of our cloud platform.\r\nWhat You Will Do\r\nArchitecture & Design\r\nOwn end-to-end architecture for the cloud platform, spanning control plane and data plane\r\nDesign multi-tenant systems with strong isolation, security, and resource governance\r\nDefine platform abstractions that work across hybrid environments AWS, GCP, Azure, and on-premises\r\nDrive architectural reviews, RFCs, and ensure decisions are well-reasoned, documented, and scalable\r\nControl Plane\r\nArchitect and build systems for tenant provisioning, lifecycle management, and configuration\r\nDesign cluster orchestration and management systems that operate reliably at scale\r\nBuild APIs and automation that enable self-service for operators and tenants\r\nEnsure control plane is highly available, auditable, and observable\r\nData Plane\r\nDesign data path components for high-throughput, low-latency workloads\r\nBuild and enforce isolation boundaries between tenants at the data layer\r\nOptimise for performance, reliability, and cost efficiency at scale\r\nEngineering Excellence\r\nSet technical direction and coding standards for the platform team\r\nIdentify and address systemic risks — reliability, scalability, security, and operability\r\nPartner with SRE and DevOps on observability, incident response, and capacity planning\r\nMust Have\r\nSaaS Platform & Multi-Tenancy\r\nHands-on experience building or operating multi-tenant SaaS platforms at scale silo/pool/bridge models, noisy neighbour mitigation, tenant resource quotas, and lifecycle automation (onboarding, provisioning, off-boarding)\r\nKnowledge of data isolation strategies schema-per-tenant, database-per-tenant, row-level security, and per-tenant encryption at rest\r\nControl Plane & Data Plane\r\nProven experience with control plane / data plane separation and cluster management — Kubernetes operators, CRDs, admission web-hooks, RBAC, and namespace isolation\r\nUnderstanding of configuration management at scale — GitOps workflows, feature flags, and dynamic config propagation across distributed environments\r\nCloud & Hybrid Infrastructure\r\nDeep expertise in any one of AWS, GCP, or Azure VPC, IAM, managed Kubernetes (EKS/GKE/AKS), IaC (Terraform/Pulumi), and cost optimisation across hybrid environments\r\nFamiliarity with service mesh technologies — Istio, Linkerd, or Envoy — for traffic management, mTLS, and microservices observability\r\nDistributed Systems & Security\r\nStrong grasp of distributed systems fundamentals HA patterns, fault tolerance, observability (OpenTelemetry, Prometheus, Grafana), and resilience testing\r\nUnderstanding of zero-trust security, secrets management (Vault, AWS Secrets Manager)\r\nAI-Augmented Engineering\r\nActively uses AI coding assistants — Claude, Cursor, Copilot — for infrastructure tasks, runbook generation, incident analysis, and ADR drafting\r\nAble to craft effective prompts for complex engineering problems and critically evaluate AI output; evaluates and drives AI tool adoption across the platform team\r\nGood to Have\r\nExposure to FinOps practices\r\nHands-on experience building and maintaining observability platforms — centralised logging pipelines, metrics dashboards (Grafana, Datadog, or equivalent), distributed tracing infrastructure, and alert management systems that give engineering teams real-time visibility into platform health\r\nContributions to open-source infrastructure or platform projects\r\nCompensation & Benefits\r\nIn California, the estimated annual salary range for this role is $175K – $220K per year.\r\nActual compensation may vary and will be determined based on permissible, non-discriminatory factors such as skills, qualifications, experience, and location of the selected candidate.\r\nAdditional benefits for this role may include: equity, company bonus or sales commissions/bonuses; 401(k) plan; medical, dental, and vision benefits.","datePosted":"2026-05-10T01:30:49.549Z","dateModified":"2026-05-10T01:30:49.549Z","hiringOrganization":{"@type":"Organization","name":"Thoughtspot","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Mountain View","addressRegion":"CA","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"f92b79b0b4b2c94fb19a7235"},"url":"https://jobsearcher.com/jobs/f92b79b0b4b2c94fb19a7235"}}