DigitalOcean

Network Engineer

• Define and execute the next-generation compute roadmap
• Drive the long-term architectural strategy
• Lead a multi-layered engineering organization
• Partner with Product and Marketing leadership
• Optimize global hypervisor and hardware efficiency
• Champion organizational agility and growth mindset
• Establish deep technical partnerships with silicon and hardware vendors

VP – Compute & Network Engineering

Technical Customer Success

• Lead, hire, train, mentor, and develop a high-performing team
• Establish performance metrics and conduct regular 1:1s, performance reviews, and career development planning
• Own end-to-end support operations, including queue management
• Drive improvements in key support metrics such as CSAT and response times
• Act as the ultimate point of technical escalation for enterprise customers

Manager, Customer Success Engineering

Vice President

• Architecture and delivery of a unified platform spanning: Ingestion (connectors, CDC, streaming), Storage (object, OLAP, vector, graph), Processing (ELT pipelines, real-time and batch), Query & analytics (SQL, hybrid search, RAG), Governance (catalog, lineage, versioning, access control)
• Deliver GA-grade services with strong SLAs, cost efficiency, and simplicity
• Drive roadmap aligned to Digital Native Enterprise (DNE) customers
• Build and scale a high-performing global organization (US and India)
• Partner deeply with Product, GTM, and Platform Engineering
• Establish clear metrics: adoption, retention, ARPU, performance, reliability

Vice President, Data Cloud

Solutions Engineer

• Lead hands-on Kubernetes migration projects, ensuring seamless transitions of workloads to Kubernetes environments.
• Analyze customers’ existing infrastructure and applications to design robust migration strategies.
• Implement Kubernetes architectures, taking ownership of the technical execution throughout the migration lifecycle.
• Troubleshoot and resolve complex migration challenges, ensuring minimal downtime and optimal performance.
• Deep expertise in Kubernetes, container orchestration, and the cloud-native ecosystem.
• Software engineering experience 7 years+
• Design, plan, and review Kubernetes migration and modernization strategies tailored to specific use cases.
• Build detailed infrastructure diagrams and explain architectural decisions clearly to technical and non-technical audiences.
• Partner with Technical Customer Success Managers and Account Managers to identify customer needs, define success plans, and ensure smooth migrations.
• Conduct hands-on technical workshops, proof of concepts, and demonstrations showcasing Kubernetes migration processes and cloud-native solutions.
• Offer tailored onboarding and migration assistance to guide customers through technical blockers and adoption challenges.
• Act as a trusted advisor, helping customers navigate technical complexities and adopt Kubernetes best practices.
• Collaborate with engineering and support teams to resolve technical escalations during migrations.
• Advocate for customer feedback to inform the development of new Kubernetes-related features and platform enhancements.

Senior Solutions Architect II, Kubernetes

• Serve as a technical partner to the success and sales teams.
• Perform architecture reviews, proof of concepts, demos, and uncover customer technical needs.
• Develop deep expertise in the DigitalOcean product portfolio, the evolving cloud landscape, and AI/ML platforms.
• Advocate for customers by providing feedback to product teams and driving new feature development.
• Offer personalized onboarding assistance and guide customers through their cloud journey.
• Design and review architecture tailored to specific business use cases.
• Identify opportunities for cost reduction and performance improvement.
• Conduct technical consultation sessions, workshops, and training for customers.
• Partner with Growth Account Managers and Customer Success Managers to create success plans.

Senior Solutions Architect II – AI/ML

• Lead hands-on Kubernetes migration projects, ensuring seamless transitions of workloads to Kubernetes environments.
• Analyze customers’ existing infrastructure and applications to design robust migration strategies.
• Implement Kubernetes architectures, taking ownership of the technical execution throughout the migration lifecycle.
• Troubleshoot and resolve complex migration challenges, ensuring minimal downtime and optimal performance.
• Deep expertise in Kubernetes, container orchestration, and the cloud-native ecosystem.
• Software engineering experience 7 years+.
• Design, plan, and review Kubernetes migration and modernization strategies tailored to specific use cases.
• Build detailed infrastructure diagrams and explain architectural decisions clearly to technical and non-technical audiences.
• Partner with Technical Customer Success Managers and Account Managers to identify customer needs, define success plans, and ensure smooth migrations.
• Conduct hands-on technical workshops, proof of concepts, and demonstrations showcasing Kubernetes migration processes and cloud-native solutions.
• Offer tailored onboarding and migration assistance to guide customers through technical blockers and adoption challenges.
• Act as a trusted advisor, helping customers navigate technical complexities and adopt Kubernetes best practices.
• Collaborate with engineering and support teams to resolve technical escalations during migrations.
• Advocate for customer feedback to inform the development of new Kubernetes-related features and platform enhancements.

Senior Solutions Architect, Kubernetes

Business Operations

• Partnering with the COO to drive performance and efficiency across the organization
• Partnering with the COO to execute key initiatives and special projects
• Influencing and collaborating with business leaders to implement initiatives that will require cross functional coordination and staying in tune with the commercial demands of the business
• Overseeing, motivating and guiding departmental program managers across operational departments to ensure coordinated efforts and optimal results
• Partnering with the business intelligence team to manage and coordinate data-based programs to support the business
• Lead system integrations to ensure that the business is effectively taking advantage of external vs internal technical resources and solutions in order to drive maximum efficiency, performance and scale
• Boost efficiency and reduce risks and associated costs by defining and extending repeatable and scalable program management processes/frameworks for the Operations teams
• Develop and manage dependencies across a portfolio of initiatives
• Establish a best practice approach to change management
• Manage, communicate and negotiate changes in program strategies, expectations and deliverables with key stakeholders
• Leverage data analysis to gather and integrate requirements in order to successfully complete programs on time and to specification.
• Management of the risk associated with systems and change management
• Vendor Procurement and Management in relation to key initiatives and programs across the business

Business Operations Director

Security Engineer

• Threat model application designs and solutions and provide security risk assessments.
• Collaborate with product managers, designers, and engineers to threat model and architect secure and resilient systems.
• Design and build internal tooling for engineering teams.
• Write robust, resilient, and maintainable software primarily in Go and Python.
• Champion an internal security culture, mentor teams in security best practices, and oversee vulnerability management program.

Staff Product Security Engineer

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

Customer Success Engineer – Database, 2nd Shift

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

Customer Success Engineer – Database

Artificial Intelligence

• Partner deeply with strategic ANEs to manage complex migrations
• Operationalize field learning by building migration planners, GPU optimization agents
• Create pre-built GenAI agents and solution templates
• Act as the frontline technical voice for CPTO
• Lead the early testing and integration of emerging AI frameworks
• Co-develop delivery frameworks with Strategic and Technical partners
• Produce field-tested demo kits and deployment guides

Senior Forward Deployed Engineer – AI/ML

Client Partner

• Architect strategic alliances with key hardware partners
• Navigate complex organizational structures within partner companies
• Translate high-level cloud infrastructure trends into actionable partnership strategies
• Lead cross-functional workstreams between internal product teams and external partners
• Drive the execution of partnership milestones
• Collaborate with senior leadership on industry trends
• Mentor peers and internal teams on partnership best practices

Strategic Partner Development Manager

Full-stack Engineer

• Act as a technical leader on the team, driving the end-to-end design, development, and delivery of critical data plane components
• Architect and refine system design proposals for our high-scale AI inference cloud ecosystem
• Implement and optimize distributed inference hosting using tensor/data parallelism and smart routing
• Work cross-functionally with Product Managers and other teams to align technical roadmaps
• Coach and mentor junior engineers
• Maintain and operate critical services, utilizing observability tools and defining SLOs

Senior Engineer 2 – Inference Data Plane

• Lead technical strategy for benchmarking and performance optimizations
• Engineer solutions for complex performance issues
• Proactively implement cutting-edge optimization techniques
• Act as subject matter expert on GPU families and software stacks
• Lead by example through high-quality code and design reviews
• Partner with Product Management and TPMs for product features
• Maintain presence in the GPU optimization communities

Senior Engineer 2 – Inference Optimizations

• Lead the technical strategy for benchmarking and performance optimizations
• Engineer solutions for complex performance issues
• Implement cutting-edge optimization techniques
• Act as the subject matter expert on modern GPU families
• Lead by example through high-quality code and design reviews
• Partner with Product Management and TPMs to translate theoretical limits into shippable product features
• Maintain a strong presence in the GPU infrastructure and optimization communities