Cloud Platform Engineer

About this job

SingleStore is hiring a Cloud Platform Engineer in India to join their engineering team. SingleStore builds a cloud-native, real-time data platform with distributed SQL architecture that supports demanding analytical and transactional applications globally. In this operations and infrastructure role, you will help drive the next generation of cloud capabilities. Your work involves designing, operating, and optimizing cloud environments, maintaining infrastructure, and building internal developer platforms for secure, reliable software delivery. A typical day includes automating infrastructure provisioning, managing Kubernetes clusters and CI/CD pipelines, troubleshooting complex system issues, and collaborating closely with product, QA, and data teams to enhance scalability and developer productivity using modern tooling and automation.

Responsibilities

• Automate infrastructure provisioning, configuration management, and workflows using IaC and scripting.
• Manage Kubernetes clusters, container registries, and internal developer platforms.
• Troubleshoot complex infrastructure issues and drive long-term root-cause remediation.
• Build and maintain cloud infrastructure across AWS, GCP, and Azure with a focus on scalability and cost.
• Develop and enhance CI/CD pipelines using tools like GitHub Actions, ArgoCD, and Terraform.
• Implement security best practices including identity management, secrets handling, and network controls.
• Leverage AI/ML tools to automate repetitive DevOps operational tasks.

Requirements

• 4-8+ years of experience in DevOps, Cloud Engineering, or Systems Administration.
• Familiarity with GIT, Golang, and scripting languages like Python or Bash.
• Proficiency with Infrastructure as Code such as Terraform, Pulumi, or CloudFormation.
• Working knowledge of observability stacks like Prometheus, Grafana, Datadog, or ELK.
• Strong hands-on experience managing production Kubernetes environments.
• Experience designing, developing, or troubleshooting distributed systems.
• B.S. degree or equivalent experience in Computer Science, Engineering, or a related field.

Good to have

• Certifications from cloud service providers like AWS or GCP DevOps.
• Strong cloud networking fundamentals covering VPC, DNS, load balancing, and routing.
• Experience with secure networking technologies like WireGuard or Tailscale.
• Experience using AI/ML tools like GitHub Copilot or LLM-based automation for workflows.
• Experience with LangChain, AI agents, and agent-based solutions.

Who should apply

This role suits experienced professionals with a strong background in DevOps and cloud infrastructure who enjoy solving complex technical problems and building internal platforms. Candidates should have hands-on expertise with Kubernetes, Infrastructure as Code, and distributed systems. It is ideal for engineers who thrive in operational environments, value automation, and want to help scale real-time data platforms. Freshers are not eligible as 4 to 8+ years of relevant experience is required.

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