As a Customer Success Engineer, you will provide technical support for database and cloud infrastructure, diagnose issues, optimize performance, and guide customers in best practices. You'll collaborate with cross-functional teams, handle escalations, and contribute to documentation and automation efforts.
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.
- 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, 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
- 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 to 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 Databases Administrator
- Exposure to one or more programming languages (PHP, Python, NodeJS) or a strong interest in developing coding skills.
- $75,200 - $94,000 / Shift hours - 1pm - 9pm PST
*This is a remote role
JR: 2026-7646
#LI-Remote
Why You’ll Like Working for DigitalOcean
- We innovate with purpose. You’ll be a part of a cutting-edge technology company with an upward trajectory, who are proud to simplify cloud and AI so builders can spend more time creating software that changes the world. As a member of the team, you will be a Shark who thinks big, bold, and scrappy, like an owner with a bias for action and a powerful sense of responsibility for customers, products, employees, and decisions.
- We prioritize career development. At DO, you’ll do the best work of your career. You will work with some of the smartest and most interesting people in the industry. We are a high-performance organization that will always challenge you to think big. Our organizational development team will provide you with resources to ensure you keep growing. We provide employees with reimbursement for relevant conferences, training, and education. All employees have access to LinkedIn Learning's 10,000+ courses to support their continued growth and development.
- We care about your well-being. Regardless of your location, we will provide you with a competitive array of benefits to support you from our Employee Assistance Program to Local Employee Meetups to flexible time off policy, to name a few. While the philosophy around our benefits is the same worldwide, specific benefits may vary based on local regulations and preferences.
- We reward our employees. The salary range for this position is based on market data, relevant years of experience, and skills. You may qualify for a bonus in addition to base salary; bonus amounts are determined based on company and individual performance. We also provide equity compensation to eligible employees, including equity grants upon hire and the option to participate in our Employee Stock Purchase Program.
- 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.
Application Limit: 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.
Top Skills
Ansible
AWS
Azure
Clickhouse
GCP
Helm
Kafka
MongoDB
MySQL
Node.js
PHP
Postgres
Python
Redis
Terraform
DigitalOcean Santa Clara, California, USA Office
3979 Freedom Cir, Suite 540, Santa Clara, CA, United States, 95054
Similar Jobs at DigitalOcean
Artificial Intelligence • Cloud • Software • Infrastructure as a Service (IaaS)
The Strategic Technical Account Manager (TAM) owns technical relationships with high-value customers, providing strategic guidance on cloud architecture, particularly for AI/ML workloads, and driving customer success through deep engagements with stakeholders.
Top Skills:
AnsibleAWSAzureCi/CdCudaDockerGCPGitopsGoHugging FaceKubernetesLinuxMiopenNvidia TritonOnnxPythonPyTorchRocmTensorFlowTensorrtTerraform
Artificial Intelligence • Cloud • Software • Infrastructure as a Service (IaaS)
The Principal Software Engineer will lead the technical direction for Platform-as-a-Service at DigitalOcean by designing scalable systems, mentoring engineers, and collaborating across teams to enhance developer experience and platform performance.
Top Skills:
C++GoJavaPython
Artificial Intelligence • Cloud • Software • Infrastructure as a Service (IaaS)
The Staff Product Security Engineer will assess security risks of products, guide secure architecture, and promote a security culture within the teams, focusing on collaboration and empowerment of engineers.
Top Skills:
DockerGithub ActionsGoGrpcHashicorp VaultJavaScriptKubernetesPrometheusPython
What you need to know about the San Francisco Tech Scene
San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.
Key Facts About San Francisco Tech
- Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Google, Apple, Salesforce, Meta
- Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
- Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
- Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine
