Customer Success Engineer, Database; 2nd Shift

Dive in and do the best work of your career rney alongside a strong community of top talent who are relentless in their drive to build the simplest scalable cloud. If you have a growth mindset, naturally like to think big and bold, and are energized by the fast‑paced environment of a true industry disruptor, you’ll find your place here. We value winning together—while learning, having fun, and making a profound difference for the dreamers and builders in the world.

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 Digital Ocean, 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 Digital Ocean 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.

• Deliver hands‑on technical support for database and cloud infrastructure issues across technologies such as MySQL, Postgre
  
  SQL, Valkey (Redis), Mongo
  
  DB and Click House, 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 Digital Ocean
• Collaborate with senior engineers and stakeholders to support onboarding, migrations, customer success, and the resolution of complex escalations, contributing to root‑cause analysis and resolution
• 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 behaviour

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

• 2–5 years of experience in technical support, Dev Ops, cloud engineering, or similar roles
• Hands‑on experience with some of the major database systems (e.g., Postgre
  
  SQL, MySQL, Redis, Mongo
  
  DB, Click House), 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

• Proven experience contributing to open‑source projects, particularly in the database ecosystem (e.g., MySQL, Postgre
  
  SQL, Redis, Mongo
  
  DB) or related technologies such as Kafka, Open Search, or database migration tools
• Exposure to cloud platforms (e.g., AWS, Azure, Google Cloud) and experience with multi‑cloud or hybrid cloud…