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Salary
$46k – $100k per year (Estimated)
Location
In office (Bengaluru)
Seniority
Staff
Overview
Company
Impact
Profile match
Run AI products in production with a unified stack for agents, inference, and cloud—built for control, performance, and economics at scale.

Responsibilities:

  • Developing external customer-facing managed database products (MySQL, PostgreSQL, caching, Kafka, OpenSearch, and MongoDB).
  • Acting as a subject matter expert on MySQL, providing guidance on performance optimisations and administrative issues.
  • Design scalable and resilient backend services for database lifecycle management.
  • Own end-to-end technical solutions from design to production.
  • Provide technical leadership across multiple projects and teams.
  • Mentor and guide mid-level and junior engineers.
  • Influence best practices in system design, reliability, and operational excellence.
  • Improve system scalability, performance, availability, and cost efficiency.
  • Developing and maintaining distributed systems in a Kubernetes environment that is globally distributed.
  • Authoring and giving feedback on technical designs.
  • Developing APIs with Go.
  • Mentoring other engineers on best practices and performing code reviews.
  • Providing the last line of support for DBaaS products.
  • Collaborating with agile, self-managed teams of peers across other products.
  • This includes engineers, product managers, designers, and more.
  • Leveraging technologies such as Temporal, gRPC, REST, Kubernetes, Docker, Kafka, Grafana and more. Integrating with many components across the DigitalOcean stack.
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