Cloud Database Infrastructure Engineer

Accountabilities
The Cloud Database Infrastructure Engineer will be responsible for designing, developing, and maintaining the infrastructure required to support a modern cloud-native database platform. The role focuses on building reliable distributed systems, improving scalability, and enabling seamless cloud operations. Design and develop a cutting-edge cloud-native database platform built on top of public cloud infrastructure. Build and maintain infrastructure components that enable a scalable, highly available, and fault-tolerant database environment. Develop and improve Kubernetes-based infrastructure solutions, including internal operators for efficient cloud resource management. Enhance metrics pipelines and create systems that generate better insights, statistics, and recommendations. Collaborate closely with database engineers and data platform teams to support infrastructure requirements and improve internal systems. Architect and implement distributed infrastructure solutions focused on performance, reliability, and scalability. Participate in production support activities, including debugging, troubleshooting, and improving systems through operational learnings. Contribute to continuous improvements across cloud infrastructure, deployment processes, and engineering practices. Requirements: The ideal candidate is an experienced software engineer with a strong background in distributed systems, cloud infrastructure, and scalable software development. They should be comfortable solving complex engineering problems and collaborating across technical teams. 5+ years of professional software development experience building and operating scalable, fault-tolerant, distributed systems. Strong programming experience with languages such as Go, C++, or Java. Proven experience designing, developing, and maintaining production-grade infrastructure systems. Experience working with public cloud platforms such as AWS, GCP, or Azure and infrastructure-as-a-service solutions. Strong understanding of distributed systems and large-scale data infrastructure. Experience with data storage, ingestion, and transformation technologies such as Spark, Kafka, or similar tools. Ability to troubleshoot production issues, participate in on-call rotations, and solve complex technical challenges. Passion for solving large-scale data problems and improving system performance. Experience with database internals, performance tuning, or systems-level optimization is a plus. Excellent communication skills and the ability to collaborate effectively within and across engineering teams. Benefits: Competitive salary range: United States: $133,450 - $197,200 USD annually. Premium markets, including areas such as the San Francisco Bay Area and New York City Metro Area: $157,000 - $232,000 USD annually. Equity opportunities through company stock options. Flexible and remote-friendly work environment with a globally distributed team. Employer contributions toward healthcare coverage. Flexible time off policies. $500 home office setup support for remote employees. Opportunities to connect with colleagues through global team gatherings and company events. The opportunity to work on impactful cloud infrastructure projects at significant scale. High ownership, technical autonomy, and the ability to influence engineering direction.

How Jobgether works:
We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.
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