About Us SingleStore engineers build the real-time data platform that enables some of the world’s most demanding applications. Our cloud-native database architecture enables high-performance transactional and analytical workloads at scale. Position Overview We are seeking a highly skilled DevOps/Cloud Platforms Engineer to join our engineering organization and help drive the next generation of our infrastructure and platform capabilities. In this role, you will be responsible for designing, operating, and optimizing cloud environments, maintaining cloud infrastructure, and creating internal developer platforms that support fast, reliable and secure software delivery. You will work closely with engineering, QA, data, and product teams to ensure our systems are scalable, resilient, and easy to use. The ideal candidate brings a strong blend of cloud infrastructure expertise, DevOps mindset, and hands-on development skills. You will automate wherever possible, use Infrastructure as Code to maintain consistency, and leverage modern DevOps tooling, including AI-assisted automation to enhance operational efficiency and developer productivity. This is an operations role for someone who thrives in solving complex technical problems, improving processes, and building platforms that accelerate engineering velocity. Primary Roles and Responsibilities - Automate infrastructure provisioning, configuration management, monitoring, and operational workflows using IaC and scripting languages. - Own the deployment, maintenance, and lifecycle management of systems supporting engineering (Kubernetes clusters, container registries, artifact systems, and internal developer platforms) leveraging deep expertise in Kubernetes, container runtimes, and the broader cloud-native ecosystem (Helm, Kustomize, operators). - Troubleshoot complex infrastructure and application issues, driving root-cause analysis and developing long-term remediation solutions - Design, build, and maintain cloud infrastructure across major cloud providers (AWS, GCP, Azure), and develop/support deployments of applications, services, and monitoring with a strong focus on scalability, reliability, and cost optimization. - Develop, enhance, and maintain CI/CD pipelines using modern DevOps tooling (GitHub Actions, ArgoCD, Terraform, etc.). - Develop internal tooling and automation using Terraform, Python, Go, or similar languages to streamline operational tasks and improve developer productivity. - Implement and manage security best practices across cloud environments, including identity management, secrets handling, audit logging, and network controls. - Leverage AI/ML tools to automate repetitive DevOps tasks, operational workflows. Required Skills and Experience - 4-8+ years of experience in DevOps, Cloud Engineering, Systems Administration, or similar infrastructure-focused roles. - Familiar with GIT and comfortable with at least one systems programming language (Golang) and one scripting language (Python, Bash). - Proficiency with Infrastructure as Code (Terraform, Pulumi, or CloudFormation) and configuration management (Ansible, Chef, or SaltStack). - Working knowledge of at least one of observability stacks (Prometheus, Grafana, ELK/OpenSearch, Datadog, etc.) and operational troubleshooting. - Strong hands-on experience with Kubernetes management in production environments - Experience designing, developing, and/or troubleshooting distributed systems. - Comfort with shells on *nix family systems. - B.S. degree or equivalent experience in Engineering, Computer Science or a related field. Preferred Qualifications: - Certifications from cloud service providers (e.g., AWS DevOps, GCP DevOps Engineer). - Strong software development skills, with experience building production-grade services, automation, APIs, and infrastructure tooling. - Proficiency in Go, Python, or other modern programming languages. - Strong cloud networking fundamentals, including VPC/VNet, subnets, NAT Gateways, Transit Gateways, routing, DNS, load balancing, and private connectivity. - Hands-on experience with VPN and secure networking technologies such as Tailscale, Headscale, WireGuard, or similar solutions. - Strong Kubernetes experience, including cluster architecture, networking, service discovery, ingress, observability, and troubleshooting. - Understanding of distributed systems concepts and experience working with highly available, scalable, and fault-tolerant systems. - Natural curiosity and a strong drive to learn new and adjacent technologies. - Experience applying AI/ML tools (e.g., GitHub Copilot, cloud AI services, LLM-based automation, anomaly detection tools) to streamline DevOps and infrastructure workflows is a strong plus. - Experience with LangChain, AI agents, and MCP (Model Context Protocol), including building and integrating agent-based solutions. - Hands-on experience implementing AI-enhanced threat detection and security systems. 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 . For candidates residing in the EEA, UK, and Switzerland, please see our EEA, UK, and Swiss Recruitment Privacy Notice. ENG000518 #li-remote #remote-li