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Sr.Cloud Support Engineer-Database
Share this job
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.
Position Overview
We are looking for a Cloud Support 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 Cloud Support Engineer (IC2) 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, Cloud Support 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 (IC3/IC4) and stakeholders to support onboarding, migrations, customer success, and the resolution of complex escalations.
- 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
- 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 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.
This is a hybrid role based out of Hyderabad, India.
#LI-Hybrid
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.
Ready to apply?
Apply to DigitalOcean
Sr. Cloud Support Engineer-Database
Share this job
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.
Position Overview
We are looking for a Cloud Support 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 Cloud Support Engineer (IC2) 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, Cloud Support 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 (IC3/IC4) and stakeholders to support onboarding, migrations, customer success, and the resolution of complex escalations.
- 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
- 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 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.
This is a hybrid role based out of Bengaluru, India.
#LI-Hybrid
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.
Ready to apply?
Apply to DigitalOcean
Customer Success Engineer II - Database
Share this job
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 II - 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 II 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 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 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.
JR: [2026-7645]
*This job is located in Hyderabad, India
#LI-Hybrid
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.
Ready to apply?
Apply to DigitalOcean
Senior Customer Success Engineer I - Kubernetes
Share this job
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 Senior Customer Success Engineer I – Kubernetes who is passionate about cloud infrastructure, container orchestration, and delivering exceptional customer experiences, while providing high-touch, white-glove support to strategic accounts.
As a Senior Customer Success Engineer I at DigitalOcean, you will play a critical role in supporting and empowering customers to successfully run production workloads on Kubernetes. You will work closely with customers to troubleshoot complex issues, optimize cluster performance, and guide them in adopting best practices across Kubernetes and cloud-native architectures.
In this role, you will bring deep technical expertise in Kubernetes and act as an escalation point for complex, business-critical customer scenarios. You will collaborate cross-functionally with Product and Engineering to drive customer outcomes, influence platform improvements, and mentor junior engineers. This role reports to the Manager, Customer Success Engineer.
What You'll Do
- Deliver advanced technical support for Kubernetes and cloud infrastructure, including cluster provisioning, container products, networking, scaling, workload orchestration, and container registry.
- Troubleshoot complex production issues affecting cluster performance, pod scheduling, ingress, storage, and security
- Guide strategic customers through onboarding, migrations, and adoption of Kubernetes, helping them design scalable, resilient, and secure architectures while ensuring smooth production readiness and resolving complex escalations.
- Serve as the escalation point for high-impact and business-critical Kubernetes issues, driving resolution through coordination with Engineering, and Product teams
- Guide customers in designing scalable, resilient, and secure Kubernetes architectures on DigitalOcean
- Mentor IC1/IC2 engineers and drive team growth by contributing to documentation, playbooks, and leverage automation tools to optimize workflows and knowledge sharing
- Partner cross-functionally with leadership, Product, and Engineering to shape support strategy, feature needs, and best practices for Managed Kubernetes.
- Use observability and monitoring tools to diagnose system behavior and performance bottlenecks
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
- 4–7+ years of experience in technical support, SRE, DevOps, or cloud engineering roles
- Certified Kubernetes Administrator (CKA) with hands-on expertise in managing and troubleshooting production clusters.
- Strong hands-on experience with Kubernetes (cluster management, deployments, troubleshooting) in production environments
- Deep understanding of Kubernetes components (API server, etcd, scheduler, controller manager, kubelet.)
- Solid foundation in Linux systems, cloud infrastructure, and distributed systems
- Strong knowledge of networking concepts including Kubernetes networking, ingress controllers, load balancing, and storage solutions (persistent volumes, CSI drivers)
- Expertise in troubleshooting across application, container, and infrastructure layers
- Customer-first mindset with the ability to manage high-pressure, business-critical situations and delivering great support experiences
- Strong communication skills with the ability to explain complex technical concepts clearly
- Ability to work independently, take ownership, and collaborate across teams in a fast-paced environment
Preferred Qualification:
- Experience with managed Kubernetes platforms (DOKS, EKS, GKE, AKS) and multi-cloud or hybrid environments
- Hands-on experience with Infrastructure-as-Code tools such as Terraform, Helm, or Ansible.
- Experience with CI/CD pipelines and GitOps workflows (ArgoCD, Flux)
- Exposure to observability and monitoring tools (Prometheus, Grafana, Loki, OpenTelemetry)
- Knowledge of Kubernetes security best practices (RBAC, network policies, secrets management)
- Contributions to open-source projects, blogs, or documentation in Kubernetes/cloud-native ecosystems
- At least one of the Advanced Kubernetes certifications (CKAD, CKS)
Bonus: Experience with one or more programming/scripting languages (Go, Python, Bash)
JR: [2026-7644]
#LI-Hybrid
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.
Ready to apply?
Apply to DigitalOcean
Manager, Customer Success Engineering
Share this job
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 Manager, Customer Success Engineering (AI & Cloud Support) who is passionate about delivering exceptional support experiences and building high-performing teams.
As a Manager, CSE (AI & Cloud Support) at DigitalOcean, you will operate as a Support Manager leading a team of Customer Success Engineers (CSEs) supporting strategic customers across cloud infrastructure and emerging AI/ML workloads. Reporting to the Senior Manager of Customer Success Engineering, you will own day-to-day support operations, team performance, and customer experience outcomes.
This role is focused on driving operational excellence while building strong technical depth within the team across AI, GPUs, Kubernetes, Databases and core cloud offerings. You will play a key role in ensuring consistent support coverage, developing SMEs, and partnering cross-functionally with Product and Engineering to improve both customer experience and product quality.
The ideal candidate brings a deep understanding of cloud and AI/ML ecosystems, including machine learning operations (MLOps), and enterprise support, combined with a passion for innovation and automation, and a proven ability to lead teams in delivering “white-glove” experiences for strategic customers.
What You’ll Do:
Team Leadership & Development
- Lead, hire, train, mentor and develop a high-performing team of Customer Success Engineers (CSEs), driving accountability, performance, and career growth
- Establish performance metrics (KPIs/SLAs) and conduct regular 1:1s, performance reviews, and career development planning.
- Own end-to-end support operations, including queue management, escalations, and shift planning to ensure consistent 24x7 coverage.
- Drive improvements in key support metrics such as CSAT, response times, resolution times, and overall support quality.
- Build and strengthen technical expertise within the team across core areas such as Kubernetes (DOKS), Databases, Compute, and AI/ML workloads.
Strategic Customer Support
- Act as the ultimate point of technical escalation for our largest, most strategic enterprise customers across Cloud and AI/ML workloads, stepping in to manage critical incidents and high-severity (Sev1/Sev2) issues.
- Design and implement customized support plans, SLAs, and escalation pathways tailored to the needs of strategic accounts.
- Partner closely with Technical Account Managers (TAMs), Growth Account Managers (GAM) to conduct Executive Business Reviews (EBRs) and ensure customers are maximizing the value of our Cloud and AI/ML products.
- Proactively identify risks and opportunities within strategic accounts to improve customer experience, adoption, and retention.
Technical & Cross-Functional Operations
- Serve as the Voice of the Customer (VoC) to Product and Engineering teams, synthesizing support data to advocate for bug fixes, feature requests, and UX improvements.
- Own and continuously improve escalation protocols between AI/ML Support and CloudOps, Infrastructure Engineering, and Product — including Jira escalation routing, Sev1 bridge management, and post-incident documentation.
- Own the development and maintenance of SOPs, escalation runbooks, HVC support playbooks, and knowledge base content — treating documentation infrastructure as a core operational lever for team scalability.
- Contribute to the vision for AI and automation within support—building intelligent tooling and driving the team toward an automation-first model to improve efficiency, scalability, and customer experience.
- Foster a culture of continuous learning, ensuring the team stays ahead of evolving cloud technologies, AI/ML frameworks, and industry trends.
Key Metrics:
- Customer Satisfaction (CSAT) for strategic accounts
- Time to Response and Resolution (TTR) for strategic customers
- Tier 1 resolution rate vs. escalation rate
- Time-to-escalation and engineering handoff SLA adherence
- SLA adherence and escalation response times
- Support productivity and quality (QA scores)
- Post-incident documentation completion rate
What You’ll Add to DigitalOcean:
- Experience: 5+ years of experience in Technical Support, Customer Success, or Technical Account Management within B2B SaaS, Cloud, or AI/ML environments ideally including experience supporting AI-native, high-growth companies with 24x7 production dependencies on GPU infrastructure.
- Leadership: 2+ years of people management experience leading technical, customer-facing teams, preferably in a high-growth, post-acquisition, or rapidly scaling environment.
- Technical Domain Expertise: Solid understanding of AI/ML concepts, including Generative AI, Large Language Models (LLMs), natural language processing (NLP), and MLOps. Deep familiarity with GPU infrastructure (NVIDIA H100/H200, bare metal GPU provisioning) and AI inference workloads is strongly preferred.
- Coding/Integration: Proficiency in reading and debugging code (Python preferred) and troubleshooting RESTful APIs and cloud architecture.
- Communication: Excellent verbal and written communication skills, with the ability to translate complex technical or AI concepts for diverse audiences OR to both highly technical engineers and non-technical business executives.
- Problem-Solving: Proven ability to remain calm under pressure and de-escalate high-stakes situations with enterprise clients.
Preferred Qualifications:
- Hands-on experience with ML frameworks (e.g., TensorFlow, PyTorch, Scikit-learn) and AI toolchains (e.g., LangChain, Hugging Face).
- Experience with major cloud platforms (AWS, Google Cloud, Azure) and their native AI/ML services.
- Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, or a related technical field.
- ITIL or equivalent service management certification
Compensation Range:
- $125,000 - $153,000
*This is a remote role
JR: 2026-7692
#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.
Ready to apply?
Apply to DigitalOcean
Manager, Customer Success Engineering
Share this job
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 Manager, Customer Success Engineering (AI & Cloud Support) who is passionate about delivering exceptional support experiences and building high-performing teams.
As a Manager, CSE (AI & Cloud Support) at DigitalOcean, you will operate as a Support Manager leading a team of Customer Success Engineers (CSEs) supporting strategic customers across cloud infrastructure and emerging AI/ML workloads. Reporting to the Senior Manager of Customer Success Engineering, you will own day-to-day support operations, team performance, and customer experience outcomes.
This role is focused on driving operational excellence while building strong technical depth within the team across AI, GPUs, Kubernetes, Databases and core cloud offerings. You will play a key role in ensuring consistent support coverage, developing SMEs, and partnering cross-functionally with Product and Engineering to improve both customer experience and product quality.
The ideal candidate brings a deep understanding of cloud and AI/ML ecosystems, including machine learning operations (MLOps), and enterprise support, combined with a passion for innovation and automation, and a proven ability to lead teams in delivering “white-glove” experiences for strategic customers.
What You’ll Do:
Team Leadership & Development
- Lead, hire, train, mentor and develop a high-performing team of Customer Success Engineers (CSEs), driving accountability, performance, and career growth
- Establish performance metrics (KPIs/SLAs) and conduct regular 1:1s, performance reviews, and career development planning.
- Own end-to-end support operations, including queue management, escalations, and shift planning to ensure consistent 24x7 coverage.
- Drive improvements in key support metrics such as CSAT, response times, resolution times, and overall support quality.
- Build and strengthen technical expertise within the team across core areas such as Kubernetes (DOKS), Databases, Compute, and AI/ML workloads.
Strategic Customer Support
- Act as the ultimate point of technical escalation for our largest, most strategic enterprise customers across Cloud and AI/ML workloads, stepping in to manage critical incidents and high-severity (Sev1/Sev2) issues.
- Design and implement customized support plans, SLAs, and escalation pathways tailored to the needs of strategic accounts.
- Partner closely with Technical Account Managers (TAMs), Growth Account Managers (GAM) to conduct Executive Business Reviews (EBRs) and ensure customers are maximizing the value of our Cloud and AI/ML products.
- Proactively identify risks and opportunities within strategic accounts to improve customer experience, adoption, and retention.
Technical & Cross-Functional Operations
- Serve as the Voice of the Customer (VoC) to Product and Engineering teams, synthesizing support data to advocate for bug fixes, feature requests, and UX improvements.
- Own and continuously improve escalation protocols between AI/ML Support and CloudOps, Infrastructure Engineering, and Product — including Jira escalation routing, Sev1 bridge management, and post-incident documentation.
- Own the development and maintenance of SOPs, escalation runbooks, HVC support playbooks, and knowledge base content — treating documentation infrastructure as a core operational lever for team scalability.
- Contribute to the vision for AI and automation within support—building intelligent tooling and driving the team toward an automation-first model to improve efficiency, scalability, and customer experience.
- Foster a culture of continuous learning, ensuring the team stays ahead of evolving cloud technologies, AI/ML frameworks, and industry trends.
Key Metrics:
- Customer Satisfaction (CSAT) for strategic accounts
- Time to Response and Resolution (TTR) for strategic customers
- Tier 1 resolution rate vs. escalation rate
- Time-to-escalation and engineering handoff SLA adherence
- SLA adherence and escalation response times
- Support productivity and quality (QA scores)
- Post-incident documentation completion rate
What You’ll Add to DigitalOcean:
- Experience: 5+ years of experience in Technical Support, Customer Success, or Technical Account Management within B2B SaaS, Cloud, or AI/ML environments ideally including experience supporting AI-native, high-growth companies with 24x7 production dependencies on GPU infrastructure.
- Leadership: 2+ years of people management experience leading technical, customer-facing teams, preferably in a high-growth, post-acquisition, or rapidly scaling environment.
- Technical Domain Expertise: Solid understanding of AI/ML concepts, including Generative AI, Large Language Models (LLMs), natural language processing (NLP), and MLOps. Deep familiarity with GPU infrastructure (NVIDIA H100/H200, bare metal GPU provisioning) and AI inference workloads is strongly preferred.
- Coding/Integration: Proficiency in reading and debugging code (Python preferred) and troubleshooting RESTful APIs and cloud architecture.
- Communication: Excellent verbal and written communication skills, with the ability to translate complex technical or AI concepts for diverse audiences OR to both highly technical engineers and non-technical business executives.
- Problem-Solving: Proven ability to remain calm under pressure and de-escalate high-stakes situations with enterprise clients.
Preferred Qualifications:
- Hands-on experience with ML frameworks (e.g., TensorFlow, PyTorch, Scikit-learn) and AI toolchains (e.g., LangChain, Hugging Face).
- Experience with major cloud platforms (AWS, Google Cloud, Azure) and their native AI/ML services.
- Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, or a related technical field.
- ITIL or equivalent service management certification
Compensation Range:
- $125,000 - $153,000
*This is a remote role
JR: 2026-7692
#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.
Ready to apply?
Apply to DigitalOcean
Manager, Customer Success Engineering
Share this job
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 Manager, Customer Success Engineering (AI & Cloud Support) who is passionate about delivering exceptional support experiences and building high-performing teams.
As a Manager, CSE (AI & Cloud Support) at DigitalOcean, you will operate as a Support Manager leading a team of Customer Success Engineers (CSEs) supporting strategic customers across cloud infrastructure and emerging AI/ML workloads. Reporting to the Senior Manager of Customer Success Engineering, you will own day-to-day support operations, team performance, and customer experience outcomes.
This role is focused on driving operational excellence while building strong technical depth within the team across AI, GPUs, Kubernetes, Databases and core cloud offerings. You will play a key role in ensuring consistent support coverage, developing SMEs, and partnering cross-functionally with Product and Engineering to improve both customer experience and product quality.
The ideal candidate brings a deep understanding of cloud and AI/ML ecosystems, including machine learning operations (MLOps), and enterprise support, combined with a passion for innovation and automation, and a proven ability to lead teams in delivering “white-glove” experiences for strategic customers.
What You’ll Do:
Team Leadership & Development
- Lead, hire, train, mentor and develop a high-performing team of Customer Success Engineers (CSEs), driving accountability, performance, and career growth
- Establish performance metrics (KPIs/SLAs) and conduct regular 1:1s, performance reviews, and career development planning.
- Own end-to-end support operations, including queue management, escalations, and shift planning to ensure consistent 24x7 coverage.
- Drive improvements in key support metrics such as CSAT, response times, resolution times, and overall support quality.
- Build and strengthen technical expertise within the team across core areas such as Kubernetes (DOKS), Databases, Compute, and AI/ML workloads.
Strategic Customer Support
- Act as the ultimate point of technical escalation for our largest, most strategic enterprise customers across Cloud and AI/ML workloads, stepping in to manage critical incidents and high-severity (Sev1/Sev2) issues.
- Design and implement customized support plans, SLAs, and escalation pathways tailored to the needs of strategic accounts.
- Partner closely with Technical Account Managers (TAMs), Growth Account Managers (GAM) to conduct Executive Business Reviews (EBRs) and ensure customers are maximizing the value of our Cloud and AI/ML products.
- Proactively identify risks and opportunities within strategic accounts to improve customer experience, adoption, and retention.
Technical & Cross-Functional Operations
- Serve as the Voice of the Customer (VoC) to Product and Engineering teams, synthesizing support data to advocate for bug fixes, feature requests, and UX improvements.
- Own and continuously improve escalation protocols between AI/ML Support and CloudOps, Infrastructure Engineering, and Product — including Jira escalation routing, Sev1 bridge management, and post-incident documentation.
- Own the development and maintenance of SOPs, escalation runbooks, HVC support playbooks, and knowledge base content — treating documentation infrastructure as a core operational lever for team scalability.
- Contribute to the vision for AI and automation within support—building intelligent tooling and driving the team toward an automation-first model to improve efficiency, scalability, and customer experience.
- Foster a culture of continuous learning, ensuring the team stays ahead of evolving cloud technologies, AI/ML frameworks, and industry trends.
Key Metrics:
- Customer Satisfaction (CSAT) for strategic accounts
- Time to Response and Resolution (TTR) for strategic customers
- Tier 1 resolution rate vs. escalation rate
- Time-to-escalation and engineering handoff SLA adherence
- SLA adherence and escalation response times
- Support productivity and quality (QA scores)
- Post-incident documentation completion rate
What You’ll Add to DigitalOcean:
- Experience: 5+ years of experience in Technical Support, Customer Success, or Technical Account Management within B2B SaaS, Cloud, or AI/ML environments ideally including experience supporting AI-native, high-growth companies with 24x7 production dependencies on GPU infrastructure.
- Leadership: 2+ years of people management experience leading technical, customer-facing teams, preferably in a high-growth, post-acquisition, or rapidly scaling environment.
- Technical Domain Expertise: Solid understanding of AI/ML concepts, including Generative AI, Large Language Models (LLMs), natural language processing (NLP), and MLOps. Deep familiarity with GPU infrastructure (NVIDIA H100/H200, bare metal GPU provisioning) and AI inference workloads is strongly preferred.
- Coding/Integration: Proficiency in reading and debugging code (Python preferred) and troubleshooting RESTful APIs and cloud architecture.
- Communication: Excellent verbal and written communication skills, with the ability to translate complex technical or AI concepts for diverse audiences OR to both highly technical engineers and non-technical business executives.
- Problem-Solving: Proven ability to remain calm under pressure and de-escalate high-stakes situations with enterprise clients.
Preferred Qualifications:
- Hands-on experience with ML frameworks (e.g., TensorFlow, PyTorch, Scikit-learn) and AI toolchains (e.g., LangChain, Hugging Face).
- Experience with major cloud platforms (AWS, Google Cloud, Azure) and their native AI/ML services.
- Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, or a related technical field.
- ITIL or equivalent service management certification
Compensation Range:
- $125,000 - $153,000
*This is a remote role
JR: 2026-7692
#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.
Ready to apply?
Apply to DigitalOcean
Manager, Customer Success Engineering
Share this job
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 Manager, Customer Success Engineering (AI & Cloud Support) who is passionate about delivering exceptional support experiences and building high-performing teams.
As a Manager, CSE (AI & Cloud Support) at DigitalOcean, you will operate as a Support Manager leading a team of Customer Success Engineers (CSEs) supporting strategic customers across cloud infrastructure and emerging AI/ML workloads. Reporting to the Senior Manager of Customer Success Engineering, you will own day-to-day support operations, team performance, and customer experience outcomes.
This role is focused on driving operational excellence while building strong technical depth within the team across AI, GPUs, Kubernetes, Databases and core cloud offerings. You will play a key role in ensuring consistent support coverage, developing SMEs, and partnering cross-functionally with Product and Engineering to improve both customer experience and product quality.
The ideal candidate brings a deep understanding of cloud and AI/ML ecosystems, including machine learning operations (MLOps), and enterprise support, combined with a passion for innovation and automation, and a proven ability to lead teams in delivering “white-glove” experiences for strategic customers.
What You’ll Do:
Team Leadership & Development
- Lead, hire, train, mentor and develop a high-performing team of Customer Success Engineers (CSEs), driving accountability, performance, and career growth
- Establish performance metrics (KPIs/SLAs) and conduct regular 1:1s, performance reviews, and career development planning.
- Own end-to-end support operations, including queue management, escalations, and shift planning to ensure consistent 24x7 coverage.
- Drive improvements in key support metrics such as CSAT, response times, resolution times, and overall support quality.
- Build and strengthen technical expertise within the team across core areas such as Kubernetes (DOKS), Databases, Compute, and AI/ML workloads.
Strategic Customer Support
- Act as the ultimate point of technical escalation for our largest, most strategic enterprise customers across Cloud and AI/ML workloads, stepping in to manage critical incidents and high-severity (Sev1/Sev2) issues.
- Design and implement customized support plans, SLAs, and escalation pathways tailored to the needs of strategic accounts.
- Partner closely with Technical Account Managers (TAMs), Growth Account Managers (GAM) to conduct Executive Business Reviews (EBRs) and ensure customers are maximizing the value of our Cloud and AI/ML products.
- Proactively identify risks and opportunities within strategic accounts to improve customer experience, adoption, and retention.
Technical & Cross-Functional Operations
- Serve as the Voice of the Customer (VoC) to Product and Engineering teams, synthesizing support data to advocate for bug fixes, feature requests, and UX improvements.
- Own and continuously improve escalation protocols between AI/ML Support and CloudOps, Infrastructure Engineering, and Product — including Jira escalation routing, Sev1 bridge management, and post-incident documentation.
- Own the development and maintenance of SOPs, escalation runbooks, HVC support playbooks, and knowledge base content — treating documentation infrastructure as a core operational lever for team scalability.
- Contribute to the vision for AI and automation within support—building intelligent tooling and driving the team toward an automation-first model to improve efficiency, scalability, and customer experience.
- Foster a culture of continuous learning, ensuring the team stays ahead of evolving cloud technologies, AI/ML frameworks, and industry trends.
Key Metrics:
- Customer Satisfaction (CSAT) for strategic accounts
- Time to Response and Resolution (TTR) for strategic customers
- Tier 1 resolution rate vs. escalation rate
- Time-to-escalation and engineering handoff SLA adherence
- SLA adherence and escalation response times
- Support productivity and quality (QA scores)
- Post-incident documentation completion rate
What You’ll Add to DigitalOcean:
- Experience: 5+ years of experience in Technical Support, Customer Success, or Technical Account Management within B2B SaaS, Cloud, or AI/ML environments ideally including experience supporting AI-native, high-growth companies with 24x7 production dependencies on GPU infrastructure.
- Leadership: 2+ years of people management experience leading technical, customer-facing teams, preferably in a high-growth, post-acquisition, or rapidly scaling environment.
- Technical Domain Expertise: Solid understanding of AI/ML concepts, including Generative AI, Large Language Models (LLMs), natural language processing (NLP), and MLOps. Deep familiarity with GPU infrastructure (NVIDIA H100/H200, bare metal GPU provisioning) and AI inference workloads is strongly preferred.
- Coding/Integration: Proficiency in reading and debugging code (Python preferred) and troubleshooting RESTful APIs and cloud architecture.
- Communication: Excellent verbal and written communication skills, with the ability to translate complex technical or AI concepts for diverse audiences OR to both highly technical engineers and non-technical business executives.
- Problem-Solving: Proven ability to remain calm under pressure and de-escalate high-stakes situations with enterprise clients.
Preferred Qualifications:
- Hands-on experience with ML frameworks (e.g., TensorFlow, PyTorch, Scikit-learn) and AI toolchains (e.g., LangChain, Hugging Face).
- Experience with major cloud platforms (AWS, Google Cloud, Azure) and their native AI/ML services.
- Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, or a related technical field.
- ITIL or equivalent service management certification
Compensation Range:
- $125,000 - $153,000
*This is a remote role
JR: 2026-7692
#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.
Ready to apply?
Apply to DigitalOcean
Manager, Customer Success Engineering
Share this job
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 Manager, Customer Success Engineering (AI & Cloud Support) who is passionate about delivering exceptional support experiences and building high-performing teams.
As a Manager, CSE (AI & Cloud Support) at DigitalOcean, you will operate as a Support Manager leading a team of Customer Success Engineers (CSEs) supporting strategic customers across cloud infrastructure and emerging AI/ML workloads. Reporting to the Senior Manager of Customer Success Engineering, you will own day-to-day support operations, team performance, and customer experience outcomes.
This role is focused on driving operational excellence while building strong technical depth within the team across AI, GPUs, Kubernetes, Databases and core cloud offerings. You will play a key role in ensuring consistent support coverage, developing SMEs, and partnering cross-functionally with Product and Engineering to improve both customer experience and product quality.
The ideal candidate brings a deep understanding of cloud and AI/ML ecosystems, including machine learning operations (MLOps), and enterprise support, combined with a passion for innovation and automation, and a proven ability to lead teams in delivering “white-glove” experiences for strategic customers.
What You’ll Do:
Team Leadership & Development
- Lead, hire, train, mentor and develop a high-performing team of Customer Success Engineers (CSEs), driving accountability, performance, and career growth
- Establish performance metrics (KPIs/SLAs) and conduct regular 1:1s, performance reviews, and career development planning.
- Own end-to-end support operations, including queue management, escalations, and shift planning to ensure consistent 24x7 coverage.
- Drive improvements in key support metrics such as CSAT, response times, resolution times, and overall support quality.
- Build and strengthen technical expertise within the team across core areas such as Kubernetes (DOKS), Databases, Compute, and AI/ML workloads.
Strategic Customer Support
- Act as the ultimate point of technical escalation for our largest, most strategic enterprise customers across Cloud and AI/ML workloads, stepping in to manage critical incidents and high-severity (Sev1/Sev2) issues.
- Design and implement customized support plans, SLAs, and escalation pathways tailored to the needs of strategic accounts.
- Partner closely with Technical Account Managers (TAMs), Growth Account Managers (GAM) to conduct Executive Business Reviews (EBRs) and ensure customers are maximizing the value of our Cloud and AI/ML products.
- Proactively identify risks and opportunities within strategic accounts to improve customer experience, adoption, and retention.
Technical & Cross-Functional Operations
- Serve as the Voice of the Customer (VoC) to Product and Engineering teams, synthesizing support data to advocate for bug fixes, feature requests, and UX improvements.
- Own and continuously improve escalation protocols between AI/ML Support and CloudOps, Infrastructure Engineering, and Product — including Jira escalation routing, Sev1 bridge management, and post-incident documentation.
- Own the development and maintenance of SOPs, escalation runbooks, HVC support playbooks, and knowledge base content — treating documentation infrastructure as a core operational lever for team scalability.
- Contribute to the vision for AI and automation within support—building intelligent tooling and driving the team toward an automation-first model to improve efficiency, scalability, and customer experience.
- Foster a culture of continuous learning, ensuring the team stays ahead of evolving cloud technologies, AI/ML frameworks, and industry trends.
Key Metrics:
- Customer Satisfaction (CSAT) for strategic accounts
- Time to Response and Resolution (TTR) for strategic customers
- Tier 1 resolution rate vs. escalation rate
- Time-to-escalation and engineering handoff SLA adherence
- SLA adherence and escalation response times
- Support productivity and quality (QA scores)
- Post-incident documentation completion rate
What You’ll Add to DigitalOcean:
- Experience: 5+ years of experience in Technical Support, Customer Success, or Technical Account Management within B2B SaaS, Cloud, or AI/ML environments ideally including experience supporting AI-native, high-growth companies with 24x7 production dependencies on GPU infrastructure.
- Leadership: 2+ years of people management experience leading technical, customer-facing teams, preferably in a high-growth, post-acquisition, or rapidly scaling environment.
- Technical Domain Expertise: Solid understanding of AI/ML concepts, including Generative AI, Large Language Models (LLMs), natural language processing (NLP), and MLOps. Deep familiarity with GPU infrastructure (NVIDIA H100/H200, bare metal GPU provisioning) and AI inference workloads is strongly preferred.
- Coding/Integration: Proficiency in reading and debugging code (Python preferred) and troubleshooting RESTful APIs and cloud architecture.
- Communication: Excellent verbal and written communication skills, with the ability to translate complex technical or AI concepts for diverse audiences OR to both highly technical engineers and non-technical business executives.
- Problem-Solving: Proven ability to remain calm under pressure and de-escalate high-stakes situations with enterprise clients.
Preferred Qualifications:
- Hands-on experience with ML frameworks (e.g., TensorFlow, PyTorch, Scikit-learn) and AI toolchains (e.g., LangChain, Hugging Face).
- Experience with major cloud platforms (AWS, Google Cloud, Azure) and their native AI/ML services.
- Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, or a related technical field.
- ITIL or equivalent service management certification
Compensation Range:
- $125,000 - $153,000
*This is a remote role
JR: 2026-7692
#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.
Ready to apply?
Apply to DigitalOcean
Associate Customer Advocate
Share this job
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.
Position Overview:
We are looking for an Associate Customer Advocate who is passionate about driving significant change to the customer experience through personal interactions and product feedback. Someone who has a desire to listen to customers' challenges and provide long-term solutions that enable the full power of our platform.
As an Associate Customer Advocate at DigitalOcean, you will join a dynamic team dedicated to revolutionizing cloud computing and AI. Your role is to engage with our customers to provide effective solutions to solve customer issues that relate to their account, billing, and platform experience. You’ll educate customers about our platform’s capabilities and features, spearheading their engagement, and offering an exceptional experience throughout their journey from on-boarding to scaling. We expect that you’ll have a desire to connect with our customers and exhibit exceptional problem-solving skills. Our Customer Advocate personify DigitalOcean’s empathy for customers, passion for enhancing their experience and relentless pursuit of simplicity at scale. This requires creative problem-solving and curiosity to tackle customer issues related to user experience and billing with knowledge of cloud services. Some, but not all candidates will have experience in technical areas such as Linux, programming, or web development. All candidates will be assessed against their ability to learn quickly and be a self-starter.
What You’ll Do:
- Respond to customer tickets with thoughtful, personalized communication
- Educate customers on platform capabilities and best practices
- Identify recurring challenges and drive solutions that benefit multiple customers
- Create and update knowledge base articles to improve self-service resources
- Collaborate with your team while independently owning customer challenges
- Triage, escalate, and follow up on incidents or customer-impacting events
- Quickly adapt to product, process, and policy changes
- Share best practices and contribute to continuous team improvement
Key Metrics:
- Customer Experience
- Ticket productivity
- Quality Adherence
- Maintaining Service levels (Timely responses)
What You’ll Add to DigitalOcean:
- A customer-first mindset with the ability to empathize and build trust through clear, thoughtful communication
- Curiosity and eagerness to learn cloud technologies, with the drive to become a product expert over time
- Strong problem-solving skills with the creativity to find both immediate and long-term solutions for customers
- Adaptability to thrive in a fast-paced, ever-evolving environment with frequent product and process updates
- A collaborative spirit that uplifts your team while independently owning and resolving customer challenges
- Commitment to continuous improvement by contributing ideas, sharing feedback, and refining support practices
- Passion for simplifying complex topics, making the cloud more accessible for builders of all levels
*This job is located in Hyderabad, India
#LI-Hybrid
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.
Ready to apply?
Apply to DigitalOcean
Customer Success Engineer, Database (2nd Shift)
Share this job
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 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.
Compensation Range:
- $75,200 - $94,000 / Shift hours - 2pm - 10pm MST
*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.
Ready to apply?
Apply to DigitalOcean
Customer Success Engineer, Database (2nd Shift)
Share this job
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 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.
Compensation Range:
- $75,200 - $94,000 / Shift hours - 4pm - 12am EST
*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.
Ready to apply?
Apply to DigitalOcean
Customer Success Engineer, Database (2nd Shift)
Share this job
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 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.
Compensation Range:
- $75,200 - $94,000 / Shift hours - 3pm - 11pm CST
*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.
Ready to apply?
Apply to DigitalOcean
Customer Success Engineer, Database (2nd Shift)
Share this job
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 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.
Compensation Range:
- $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.
Ready to apply?
Apply to DigitalOcean
Customer Success Engineer, Database (2nd Shift)
Share this job
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 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.
Compensation Range:
- $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.
Ready to apply?
Apply to DigitalOcean