Senior Software Engineer, Cloud Platform

What you'll do

• Design platform capabilities for workload scheduling, resource management, scaling, tenant isolation, and cost-efficient execution.
• Automate and improve distributed database provisioning, upgrades, recovery, and workload migration.
• Improve platform reliability, scalability, performance, and operations, using AI across engineering workflows.

What they ask for

• 3+ years building production systems such as SaaS platforms, data platforms, AI applications, microservices, or cloud infrastructure.
• Bachelor's degree in Computer Science, Software Engineering, or a related field, or equivalent practical experience.
• Hands-on experience with Kubernetes, Docker, and at least one major cloud platform such as AWS, GCP, or Azure.
• Familiarity with infrastructure automation and cloud operations tooling.

Nice to have

• Experience building cloud-native platform systems, including scheduling, orchestration, deployment, upgrades, or resource management.
• Understanding of distributed databases or database engine internals.

Pay

USD 175,000–225,000 per year (base salary)

Tools

Kubernetes, Docker, AWS, GCP, Azure, Terraform, Helm, Argo CD

AI focus

Use AI across platform engineering, including deployment validation, diagnosis, incident analysis, capacity planning, documentation, code generation, and operational tooling; interest in AI-assisted development and engineering productivity is valued.