Customer Success Engineer - Database @DigitalOcean
Customer Service
Salary usd 75,200 - 94..
Remote Location
πŸ‡ΊπŸ‡Έ USA Only
Job Type full-time
Posted 2d ago

[Hiring] Customer Success Engineer - Database @DigitalOcean

2d ago - DigitalOcean is hiring a remote Customer Success Engineer - Database. πŸ’Έ Salary: usd 75,200 - 94,000 per year πŸ“Location: USA

Role Description

We are looking for a Customer Success Engineer - Database who is passionate about cloud infrastructure, database technologies, and delivering exceptional customer experiences, while providing high-touch, white-glove support to strategic accounts.

As a Customer Success Engineer at DigitalOcean, you will join a dynamic team dedicated to supporting and empowering customers to successfully run their workloads on our platform. You will work closely with customers to troubleshoot issues, optimize database performance, and guide them in adopting best practices across managed databases and cloud infrastructure.

In this role, you will build strong technical depth across database systems and DigitalOcean products while developing your ability to handle increasingly complex customer scenarios. You will collaborate cross-functionally with Product and Engineering to ensure seamless customer outcomes. This role reports to the Manager, Customer Success Engineer.

What You'll Do

  • Deliver hands-on technical support for database and cloud infrastructure issues across technologies such as MySQL, PostgreSQL, Valkey (Redis), MongoDB, and Clickhouse, with exposure to cloud-native and Kubernetes environments.
  • Diagnose and resolve production issues impacting database performance, availability, replication, backups, and connectivity.
  • Guide customers in designing scalable, reliable, and high-performing database architectures on DigitalOcean.
  • Collaborate with senior engineers and stakeholders to support onboarding, migrations, customer success, and the resolution of complex escalations.
  • Analyze customer architectures to identify improvement opportunities and recommend best practices.
  • Participate in incident response and on-call rotations to support critical customer issues.
  • Contribute to team growth through case reviews and knowledge sharing, while developing and maintaining technical documentation and playbooks to drive continuous improvement.
  • Advocate for customer feedback to influence product improvements and platform enhancements.
  • Identify opportunities to leverage automation and AI tools to streamline support workflows, reduce manual effort, and improve response quality.
  • Use monitoring and observability tools to diagnose performance bottlenecks and system behavior.

Key Metrics

  • Customer Satisfaction (CSAT)
  • Time to Resolution / SLA adherence
  • Escalation quality and resolution effectiveness
  • Documentation and knowledge base contributions
  • Customer adoption of best practices

Qualifications

  • 2–5 years of experience in technical support, DevOps, cloud engineering, or similar roles.
  • Hands-on experience with some of the major database systems (e.g., PostgreSQL, MySQL, Redis, MongoDB, Clickhouse), with some familiarity across Kafka and others.
  • Strong foundational knowledge of Linux, networking, and cloud infrastructure concepts.
  • Understanding of database fundamentals including backups, replication, indexing, and performance tuning.
  • Strong troubleshooting skills across application, database, and infrastructure layers.
  • Customer-first mindset with a passion for solving technical problems and delivering great support experiences.
  • Effective communication skills with the ability to explain technical concepts clearly.
  • Ability to work both independently and collaboratively in a fast-paced environment.

Preferred Qualification

  • Proven experience contributing to open-source projects, particularly in the database ecosystem (e.g., MySQL, PostgreSQL, Redis, MongoDB) or related technologies like Kafka, OpenSearch, or database migration tools.
  • Exposure to cloud platforms (e.g., AWS, Azure, Google Cloud) and experience with multi-cloud or hybrid cloud environments.
  • Basic experience with distributed systems or containerized environments (e.g., Kubernetes).
  • Hands-on experience with Infrastructure-as-Code tools such as Terraform, Helm, or Ansible.
  • Contributions to open-source projects, technical blogs, or documentation related to databases or cloud-native technologies.
  • At least one of the Database Certifications, such as Oracle Certified Professional or Database Administrator.
  • Exposure to one or more programming languages (PHP, Python, NodeJS) or a strong interest in developing coding skills.

Compensation Range

  • $75,200 - $94,000
  • Shift hours - 1pm - 9pm PST
  • *This is a remote role

Benefits

  • Competitive array of benefits to support employee well-being.
  • Reimbursement for relevant conferences, training, and education.
  • Access to LinkedIn Learning's 10,000+ courses to support continued growth and development.
  • Flexible time off policy.

Company Description

DigitalOcean is an equal-opportunity employer. We do not discriminate on the basis of race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service.

You may apply to a maximum of 3 positions within any 180-day period. This policy promotes better role-candidate matching and encourages thoughtful applications where your qualifications align most strongly.

Before You Apply
️
πŸ‡ΊπŸ‡Έ Be aware of the location restriction for this remote position: USA Only
β€Ό Beware of scams! When applying for jobs, you should NEVER have to pay anything. Learn more.
Customer Success Engineer - Database @DigitalOcean
Customer Service
Salary usd 75,200 - 94..
Remote Location
πŸ‡ΊπŸ‡Έ USA Only
Job Type full-time
Posted 2d ago
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πŸ‡ΊπŸ‡Έ Be aware of the location restriction for this remote position: USA Only
β€Ό Beware of scams! When applying for jobs, you should NEVER have to pay anything. Learn more.
Apply for this position
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Applied βœ“
Sent Follow-Up βœ“
Interview Scheduled βœ“
Interview Completed βœ“
Offer Accepted βœ“
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