Customer Success Engineer - Database (2nd Shift)
DigitalOceanDenver$75k – $94kPosted 3 April 2026
Tech Stack
Job Description
Dive in and do the best work of your career at DigitalOcean. Journey 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 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.
on 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 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
What You'll Add to DigitalOcean
Required Experience skills
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 contribut ... (truncated, view full listing at source)
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