We are looking for a Staff Forward Deployed Engineer who is passionate about solving complex cloud infrastructure challenges in the fast-growing AI/ML space. This is a high-impact position designed to be the "technical tip of the spear" for our most strategic AI-Native (ANE) customers.

As an FDE, you will sit at the intersection of Product Engineering and Customer Implementation. You will be embedded directly with our most strategic customers to drive transformational AI adoption. You will collaborate closely with customer teams to ship advanced AI applications that solve real world business problems.

You will build the tools, migration scripts, and AI starter kits that don't just solve one customer's problem, but scale the entire DigitalOcean AI Cloud ecosystem. Your mission is to accelerate "time-to-inference" in production at scale and serve as a critical feedback loop, ensuring our product roadmap is informed by the world's most demanding AI workloads.

What You’ll do:

• Embedded Customer Engineering: Partner deeply with strategic ANEs to manage complex migrations, build production-ready PoCs, and execute hands-on application builds on our GPU infrastructure.
• Build Scalable Assets & Tooling: Operationalize field learning by building migration planners, reusable systems, benchmarking frameworks, model optimization agents, and deployment automation scripts (e.g., Terraform/Pulumi) that standardize how AI workloads are deployed and tuned across DigitalOcean.
• Develop AI "Starter Kits": Create pre-built GenAI agents, solution templates, and notebooks (e.g., LangGraph, CrewAI) tailored to popular and advanced business needs.
• Drive the Product Roadmap: Act as the frontline technical voice for CPTO, surfacing architectural gaps and edge cases to inform core product development. Transition field-built tools into native product features.
• New Tech Validation: Lead the early testing and integration of emerging AI frameworks to ensure a first-class developer experience on DigitalOcean.
• Partner & GTM Enablement: Co-develop delivery frameworks with Strategic and Technical partners to enable repeatable, high-quality deployments at scale.
• Market Leadership: Produce field-tested demo kits and deployment guides that support new product releases with practical, validated assets.

Key Metrics

• Customer Adoption: Number of high-impact production workloads landed; reduction in average "time-to-production"; and Pilot-to-Production conversion rates.
• Asset & Tooling Delivery: Number of reusable tools (agents, scripts, playbooks) delivered per quarter and their subsequent adoption rate by the crossfunctional teams and customers.
• Field Enablement & Scale: Measured by the successful handoff and execution of FDE-defined deployment patterns to technical partners and the internal adoption rate of FDE playbooks across all customer-facing technical teams.
• Product Influence: Number of roadmap features or architectural changes directly attributed to FDE feedback and validated customer hypotheses.

What You’ll Add to DigitalOcean:

• AI/ML Architecture & Domain Expertise: Significant experience in the AI/ML lifecycle, specifically hosting large language or multimodal models using inference engines like vLLM, SGLang, or Modular. You have a deep understanding of common LLM architectures and optimization techniques (e.g., continuous batching, quantization).
• Distributed Systems & Infrastructure Mastery: Act as the subject matter expert on modern GPU families (NVIDIA/AMD) and their software stacks (CUDA, ROCm, TensorRT, OpenAI Triton). Expert proficiency in Kubernetes (K8s) and the design of distributed systems, including microservices, messaging systems, databases, and Infrastructure as Code. You can seamlessly integrate AI workloads with core cloud services (Networking, VPC, Storage, Compute).
• High-Performance Inference & Hardware Optimization: Hands-on experience with distributed inference serving frameworks (e.g., llm-d, NVIDIA Dynamo, or Ray Serve). You understand GPU-level optimization and have experience with interconnect technologies like NVlink, XGMI, or RoCE to maximize hardware efficiency.
• Software Engineering Foundation: Strong production coding skills in Python or Go with the ability to build high-quality tools, automation, and internal assets.
• Data-Driven Performance Insight: Proven ability to benchmark AI infrastructure and perform GPU utilization tuning to optimize customer ROI and workload performance.
• Consultative Execution: Proven ability to establish instant technical credibility with CTOs and Lead Architects while managing high-stakes technical migrations.

Preferred

• Experience with emerging AI orchestration frameworks like LangGraph, CrewAI, or LlamaIndex.
• A background in technical consulting or "Forward Deployed" roles at high-growth AI or infrastructure companies.
• Experience building and scaling "Center of Excellence" models or partner delivery frameworks.
• Active contributor to open-source AI projects or technical communities.

Compensation Range: 

• $195,000 - $239,000

*This is a hybrid role

JR: 2026-7748

#LI-Hybrid

We are looking for a Staff Forward Deployed Engineer who is passionate about solving complex cloud infrastructure challenges in the fast-growing AI/ML space. This is a high-impact position designed to be the "technical tip of the spear" for our most strategic AI-Native (ANE) customers.

As an FDE, you will sit at the intersection of Product Engineering and Customer Implementation. You will be embedded directly with our most strategic customers to drive transformational AI adoption. You will collaborate closely with customer teams to ship advanced AI applications that solve real world business problems.

You will build the tools, migration scripts, and AI starter kits that don't just solve one customer's problem, but scale the entire DigitalOcean AI Cloud ecosystem. Your mission is to accelerate "time-to-inference" in production at scale and serve as a critical feedback loop, ensuring our product roadmap is informed by the world's most demanding AI workloads.

What you’ll do:

• Embedded Customer Engineering: Partner deeply with strategic ANEs to manage complex migrations, build production-ready PoCs, and execute hands-on application builds on our GPU infrastructure.
• Build Scalable Assets & Tooling: Operationalize field learning by building migration planners, reusable systems, benchmarking frameworks, model optimization agents, and deployment automation scripts (e.g., Terraform/Pulumi) that standardize how AI workloads are deployed and tuned across DigitalOcean.
• Develop AI "Starter Kits": Create pre-built GenAI agents, solution templates, and notebooks (e.g., LangGraph, CrewAI) tailored to popular and advanced business needs.
• Drive the Product Roadmap: Act as the frontline technical voice for CPTO, surfacing architectural gaps and edge cases to inform core product development. Transition field-built tools into native product features.
• New Tech Validation: Lead the early testing and integration of emerging AI frameworks to ensure a first-class developer experience on DigitalOcean.
• Partner & GTM Enablement: Co-develop delivery frameworks with Strategic and Technical partners to enable repeatable, high-quality deployments at scale.
• Market Leadership: Produce field-tested demo kits and deployment guides that support new product releases with practical, validated assets.

Key Metrics

• Customer Adoption: Number of high-impact production workloads landed; reduction in average "time-to-production"; and Pilot-to-Production conversion rates.
• Asset & Tooling Delivery: Number of reusable tools (agents, scripts, playbooks) delivered per quarter and their subsequent adoption rate by the crossfunctional teams and customers.
• Field Enablement & Scale: Measured by the successful handoff and execution of FDE-defined deployment patterns to technical partners and the internal adoption rate of FDE playbooks across all customer-facing technical teams.
• Product Influence: Number of roadmap features or architectural changes directly attributed to FDE feedback and validated customer hypotheses.

What You’ll Add to DigitalOcean:

• AI/ML Architecture & Domain Expertise: Significant experience in the AI/ML lifecycle, specifically hosting large language or multimodal models using inference engines like vLLM, SGLang, or Modular. You have a deep understanding of common LLM architectures and optimization techniques (e.g., continuous batching, quantization).
• Distributed Systems & Infrastructure Mastery: Act as the subject matter expert on modern GPU families (NVIDIA/AMD) and their software stacks (CUDA, ROCm, TensorRT, OpenAI Triton). Expert proficiency in Kubernetes (K8s) and the design of distributed systems, including microservices, messaging systems, databases, and Infrastructure as Code. You can seamlessly integrate AI workloads with core cloud services (Networking, VPC, Storage, Compute).
• High-Performance Inference & Hardware Optimization: Hands-on experience with distributed inference serving frameworks (e.g., llm-d, NVIDIA Dynamo, or Ray Serve). You understand GPU-level optimization and have experience with interconnect technologies like NVlink, XGMI, or RoCE to maximize hardware efficiency.
• Software Engineering Foundation: Strong production coding skills in Python or Go with the ability to build high-quality tools, automation, and internal assets.
• Data-Driven Performance Insight: Proven ability to benchmark AI infrastructure and perform GPU utilization tuning to optimize customer ROI and workload performance.
• Consultative Execution: Proven ability to establish instant technical credibility with CTOs and Lead Architects while managing high-stakes technical migrations.

Preferred

• Experience with emerging AI orchestration frameworks like LangGraph, CrewAI, or LlamaIndex.
• A background in technical consulting or "Forward Deployed" roles at high-growth AI or infrastructure companies.
• Experience building and scaling "Center of Excellence" models or partner delivery frameworks.
• Active contributor to open-source AI projects or technical communities.

Compensation Range: 

• $195,000 - $239,000

*This is a remote role

JR: 2026-7748

#LI-Remote

We want people who are passionate about building features that you and your peers will love.

At DigitalOcean, Data Center Engineers play a massive role in the success of our business. Our amazing Data Center team is responsible for maintaining and growing the physical infrastructure of the DigitalOcean cloud, past, present and future. They own everything related to the physical servers and networking gear that enables our company, and our customers to scale.

Day to day duties may include everything from replacing a faulty drive in one of our servers, to flying overseas to set up a brand new Data Center from scratch. In exchange for your expertise and enthusiastic interest in DigitalOcean, we can offer you a role on a fast growing, and collaborative team where you'll be given regular opportunities to hone your skills and learn new ones. This position requires you to be onsite at our data center.

This is an onsite position that requires you to support ATL region and the surrounding areas Mon - Fri third shift/overnight.

What You'll Be Doing:

• Deploying and maintaining Data Center infrastructure
• Racking, stacking and wiring servers, power distribution units, and switches
• Installing servers, switches, routers, and storage hardware
• Submitting RMA to equipment manufacturers and shipping and receiving gear to and from remote locations and vendors
• Submitting and tracking remote work requests and managing server and component inventory
• Diagnosing and repairing hardware and performing upgrades, integrations, rebuilds and other projects as needed
• Debugging network, hardware, and Linux OS related issues
• Inventory and asset management

What You'll Add to DigitalOcean:

• Experience in deploying, maintaining, and working in a data center environment.
• Strong troubleshooting skills in networking, hardware, GPU and Linux operating systems, with experience diagnosing and repairing hardware, executing upgrades, and performing hardware installations.
• Proficient in Linux OS, including working with terminal sessions and command-line interfaces.
• Excellent verbal and written communication skills, with a collaborative mindset and a positive, can-do attitude.
• Strong problem-solving abilities, with a keen aptitude for deep technical dives to quickly and efficiently resolve issues.
• Experience submitting and tracking remote work requests, as well as managing server and component inventory.
• Willingness to participate in an on-call rotation.
• Valid driver’s license and comfort with driving.
• Ability to travel domestically and internationally (10%–15% travel).
• Capability to remain on your feet throughout the workday.
• Ability to lift objects up to 50 lbs.

Compensation Range: 

• $66,000 - $83,000

*This is a remote role

JR: 2026-7743

#LI-Remote

We are seeking a skilled Software Engineer with expertise in GPU Infrastructure, Ubuntu operating systems, and automation to design, build, maintain, and optimize machine images across a variety of cloud platforms. In this role, you will play a key part in delivering standardized, secure, and high-performant images, including those deployed on GPU Bare Metal and GPU droplet (VM) images 

You will focus on automating the image creation lifecycle, ensuring image integrity, and optimizing for performance and security. The ideal candidate brings deep experience in GPU infrastructure, automation, and test systems, along with a strong passion for building secure, scalable, and efficient machine images that power modern cloud-native applications and services.

What You’ll Do:

• Work with key stakeholders in packaging and continuously testing our GPU images across multiple platform services.  This includes coordination with hardware engineering teams on packaging firmware versions and maintaining an active compatibility matrix of GPU drivers across Nvidia and AMD GPU platforms (H100/H200/MI300x/MI325x).
• Automation and Scripting: Develop and maintain tooling and scripts (e.g., using HashiCorp Packer, Ansible, Terraform, Python, Shell scripting) to automate the creation, testing, and deployment of machine images.
• Security and Compliance: Ensure machine images adhere to security best practices, including hardening, patch management, and compliance with organizational and industry standards (e.g., CIS benchmarks, GDPR, HIPAA).
• Optimization: Optimize machine images for performance, size, and boot time to enhance scalability and reduce operational costs.
• CI/CD Integration: Integrate machine image creation into CI/CD pipelines using tools like Jenkins, GitHub Actions, or GitLab CI for automated builds and deployments.
• Versioning and Documentation: Maintain version control for machine images and document configurations, processes, and best practices.
• Monitoring and Troubleshooting: Implement monitoring for image performance and troubleshoot issues related to image deployment and runtime in cloud environments.
• Stay Updated: Keep abreast of advancements in cloud technologies, containerization, and image management tools to propose and implement improvements.

What You'll Add to DigitalOcean:

• Strong experience with building Linux operating system images.
• Solid understanding of GPU related infrastructure including NCCL, RCCL testing frameworks particularly in a fabric connected environment.
  Hands-on experience building and managing machine images using tools like Packer, cloud-init, Ansible, Python, and shell scripting.
• Familiarity with CI/CD tools (e.g., GitHub Actions, Jenkins, GitLab CI) for automating image pipelines.
• Strong understanding of security practices in image building (e.g., CVE scanning, secrets management, system hardening).
• Experience in regulated environments (HIPAA, FedRAMP, SOC2, etc.)
• Knowledge of Immutable Infrastructure and Golden Image pipelines.
• Experience with configuration management tools like Chef or Puppet.

This is a hybrid role based in either Hyderabad or Bangalore(India), depending on the candidate's preference.

#LI-Hybrid 

We are looking for a Senior Manager who is passionate about building and modernizing Network Infrastructure.

As a Senior Manager at DigitalOcean, you will join a dynamic team dedicated to revolutionizing cloud computing. Reporting to the Director of Network Infrastructure Engineering, this role will lead and scale the Datacenter Networking team, responsible for building, modernizing, and operating DigitalOcean’s datacenter network infrastructure.

What You’ll Do:

• Talent development and performance management; coaching, and developing a culture of inclusivity and collaboration 
• Work with other technologies to architect next generation network
• Partner with senior technical and business leadership to co-develop multi-year roadmaps for the technology areas across the organization 
• Proactively identify and solve challenges that negatively impact team velocity and successful delivery
• Work with the team to streamline and modernize tools used for network equipment lifecycle management

What You’ll Add to DigitalOcean:

• People First Leader - serve the team by continuously assessing their strength and passions helping them to grow and develop. Provide them with the opportunities and visibility to be their best and help them achieve their goals
• Visionary - experience communicating effectively with peers and leaders, create allies and productive relationships, nurture collaboration and knowledge transfer, communicate with transparency, communicate clear organizational goals
• Technologist - a proven background in some or all of: GPU networking, IEB implementation and design, DC networking, NOC, Life-cycle management of infrastructure
• At least 10 years of progressive experience in network architecture, design and operation at global scale (10+ DC locations)
• Experience working with deployment software like Salt, Ansible, puppet, chef.
• 5+ years’ experience of people, talent and performance management; passion to mentor, motivate, and coach team member

Compensation Range: 

• $184,800 - $231,000

*This is a remote role

JR: 2026-7702

#LI-Remote

We are looking for a Senior Manager who is passionate about building and modernizing Network Infrastructure.

As a Senior Manager at DigitalOcean, you will join a dynamic team dedicated to revolutionizing cloud computing. Reporting to the Director of Network Infrastructure Engineering, this role will lead and scale the Datacenter Networking team, responsible for building, modernizing, and operating DigitalOcean’s datacenter network infrastructure.

What You’ll Do:

• Talent development and performance management; coaching, and developing a culture of inclusivity and collaboration 
• Work with other technologies to architect next generation network
• Partner with senior technical and business leadership to co-develop multi-year roadmaps for the technology areas across the organization 
• Proactively identify and solve challenges that negatively impact team velocity and successful delivery
• Work with the team to streamline and modernize tools used for network equipment lifecycle management

What You’ll Add to DigitalOcean:

• People First Leader - serve the team by continuously assessing their strength and passions helping them to grow and develop. Provide them with the opportunities and visibility to be their best and help them achieve their goals
• Visionary - experience communicating effectively with peers and leaders, create allies and productive relationships, nurture collaboration and knowledge transfer, communicate with transparency, communicate clear organizational goals
• Technologist - a proven background in some or all of: GPU networking, IEB implementation and design, DC networking, NOC, Life-cycle management of infrastructure
• At least 10 years of progressive experience in network architecture, design and operation at global scale (10+ DC locations)
• Experience working with deployment software like Salt, Ansible, puppet, chef.
• 5+ years’ experience of people, talent and performance management; passion to mentor, motivate, and coach team member

Compensation Range: 

• $184,800 - $231,000

*This is a remote role

JR: 2026-7702

#LI-Remote

We are looking for a Senior Manager who is passionate about building and modernizing Network Infrastructure.

As a Senior Manager at DigitalOcean, you will join a dynamic team dedicated to revolutionizing cloud computing. Reporting to the Director of Network Infrastructure Engineering, this role will lead and scale the Datacenter Networking team, responsible for building, modernizing, and operating DigitalOcean’s datacenter network infrastructure.

What You’ll Do:

• Talent development and performance management; coaching, and developing a culture of inclusivity and collaboration 
• Work with other technologies to architect next generation network
• Partner with senior technical and business leadership to co-develop multi-year roadmaps for the technology areas across the organization 
• Proactively identify and solve challenges that negatively impact team velocity and successful delivery
• Work with the team to streamline and modernize tools used for network equipment lifecycle management

What You’ll Add to DigitalOcean:

• People First Leader - serve the team by continuously assessing their strength and passions helping them to grow and develop. Provide them with the opportunities and visibility to be their best and help them achieve their goals
• Visionary - experience communicating effectively with peers and leaders, create allies and productive relationships, nurture collaboration and knowledge transfer, communicate with transparency, communicate clear organizational goals
• Technologist - a proven background in some or all of: GPU networking, IEB implementation and design, DC networking, NOC, Life-cycle management of infrastructure
• At least 10 years of progressive experience in network architecture, design and operation at global scale (10+ DC locations)
• Experience working with deployment software like Salt, Ansible, puppet, chef.
• 5+ years’ experience of people, talent and performance management; passion to mentor, motivate, and coach team member

Compensation Range: 

• $184,800 - $231,000

*This is a remote role

JR: 2026-7702

#LI-Remote

We are looking for a Senior Manager who is passionate about building and modernizing Network Infrastructure.

As a Senior Manager at DigitalOcean, you will join a dynamic team dedicated to revolutionizing cloud computing. Reporting to the Director of Network Infrastructure Engineering, this role will lead and scale the Datacenter Networking team, responsible for building, modernizing, and operating DigitalOcean’s datacenter network infrastructure.

What You’ll Do:

• Talent development and performance management; coaching, and developing a culture of inclusivity and collaboration 
• Work with other technologies to architect next generation network
• Partner with senior technical and business leadership to co-develop multi-year roadmaps for the technology areas across the organization 
• Proactively identify and solve challenges that negatively impact team velocity and successful delivery
• Work with the team to streamline and modernize tools used for network equipment lifecycle management

What You’ll Add to DigitalOcean:

• People First Leader - serve the team by continuously assessing their strength and passions helping them to grow and develop. Provide them with the opportunities and visibility to be their best and help them achieve their goals
• Visionary - experience communicating effectively with peers and leaders, create allies and productive relationships, nurture collaboration and knowledge transfer, communicate with transparency, communicate clear organizational goals
• Technologist - a proven background in some or all of: GPU networking, IEB implementation and design, DC networking, NOC, Life-cycle management of infrastructure
• At least 10 years of progressive experience in network architecture, design and operation at global scale (10+ DC locations)
• Experience working with deployment software like Salt, Ansible, puppet, chef.
• 5+ years’ experience of people, talent and performance management; passion to mentor, motivate, and coach team member

Compensation Range: 

• $184,800 - $231,000

*This is a hybrid role

JR: 2026-7702

#LI-Hybrid

We are looking for a Senior Manager who is passionate about building and modernizing Network Infrastructure.

As a Senior Manager at DigitalOcean, you will join a dynamic team dedicated to revolutionizing cloud computing. Reporting to the Director of Network Infrastructure Engineering, this role will lead and scale the Datacenter Networking team, responsible for building, modernizing, and operating DigitalOcean’s datacenter network infrastructure.

What You’ll Do:

• Talent development and performance management; coaching, and developing a culture of inclusivity and collaboration 
• Work with other technologies to architect next generation network
• Partner with senior technical and business leadership to co-develop multi-year roadmaps for the technology areas across the organization 
• Proactively identify and solve challenges that negatively impact team velocity and successful delivery
• Work with the team to streamline and modernize tools used for network equipment lifecycle management

What You’ll Add to DigitalOcean:

• People First Leader - serve the team by continuously assessing their strength and passions helping them to grow and develop. Provide them with the opportunities and visibility to be their best and help them achieve their goals
• Visionary - experience communicating effectively with peers and leaders, create allies and productive relationships, nurture collaboration and knowledge transfer, communicate with transparency, communicate clear organizational goals
• Technologist - a proven background in some or all of: GPU networking, IEB implementation and design, DC networking, NOC, Life-cycle management of infrastructure
• At least 10 years of progressive experience in network architecture, design and operation at global scale (10+ DC locations)
• Experience working with deployment software like Salt, Ansible, puppet, chef.
• 5+ years’ experience of people, talent and performance management; passion to mentor, motivate, and coach team member

Compensation Range: 

• $184,800 - $231,000

*This is a remote role

JR: 2026-7702

#LI-Remote

We are looking for a Staff Product Manager to own the strategic vision, development, and execution of DigitalOcean’s GPU product offerings. This high-impact role positions you at the intersection of advanced technology and market-leading innovation, driving products that influence the future direction of our AI and computational science platform.

As a Staff Product Manager, you will serve as product leader owning the foundation that powers accelerated computing. You will define how we strategically define upcoming GPU products, and develop how to acquire, allocate, and deploy GPU resources at scale, ensuring our product aligns with broader business objectives and customer demand for AI/ML and HPC workloads.

In this role, you will be a hands-on strategist, bridging customer needs, market realities, and complex technical execution to ensure efficient, effective value delivery.

What You’ll Do

• Own and drive the product strategy and roadmap for DigitalOcean’s GPUs including defining capacity, provisioning, and deployment workflow, aligning closely with overall cloud infrastructure objectives.
• Conduct comprehensive market analysis on GPU compute trends, competitive offerings, pricing, and emerging technologies to inform product direction and positioning.
• Collaborate directly with Engineering and Infrastructure teams to conceptualize, develop, and deliver cutting-edge GPU solutions optimized for AI, ML, and HPC workloads.
• Serve as the primary advocate for customer deployment requirements, actively collecting and prioritizing feedback to continually refine the capacity consumption experience and platform offerings.
• Partner effectively with Hardware Engineering, Capacity Planning, Solutions Architecture, and Go-to-Market teams to ensure successful, scalable GPU resource launches and full lifecycle management.
• Utilize data-driven approaches to evaluate product success, track key metrics around utilization and deployment velocity, and guide strategic product enhancements.

What You’ll Add to DigitalOcean

• 7+ years of product management experience, specializing in cloud compute infrastructure, accelerated computing, or high-performance networking.
• Deep technical knowledge of GPU architectures (AMD, NVIDIA) and their specific applications in AI, ML, and High-Performance Computing (HPC) environments.
• Proven track record of successfully managing complex infrastructure products from initial concept through large-scale deployment and optimization.
• A strong sense of ownership and a drive to figure out and resolve any issues preventing you and your team from delivering value to your customers
• Exceptional analytical and problem-solving skills, with a demonstrated ability to make and communicate strategic, data-driven decisions, especially related to capacity and scaling.
• Strong leadership and cross-functional communication skills, capable of driving consensus and inspiring collaboration across technical and business teams.
• Customer-focused mindset, with direct experience gathering insights and translating them into valuable product improvements.
• Experience with the Atlassian suite (Jira and Confluence) for managing the flow of value in both Agile and hybrid environments.
• A Bachelor’s or Master’s degree in Computer Science, Engineering, or a related technical field, or equivalent practical work experience

Compensation Range: 

• $186,000 - $233,000

*This is a remote role

#LI-Remote

We are looking for a Staff Product Manager to own the strategic vision, development, and execution of DigitalOcean’s GPU product offerings. This high-impact role positions you at the intersection of advanced technology and market-leading innovation, driving products that influence the future direction of our AI and computational science platform.

As a Staff Product Manager, you will serve as product leader owning the foundation that powers accelerated computing. You will define how we strategically define upcoming GPU products, and develop how to acquire, allocate, and deploy GPU resources at scale, ensuring our product aligns with broader business objectives and customer demand for AI/ML and HPC workloads.

In this role, you will be a hands-on strategist, bridging customer needs, market realities, and complex technical execution to ensure efficient, effective value delivery.

What You’ll Do

• Own and drive the product strategy and roadmap for DigitalOcean’s GPUs including defining capacity, provisioning, and deployment workflow, aligning closely with overall cloud infrastructure objectives.
• Conduct comprehensive market analysis on GPU compute trends, competitive offerings, pricing, and emerging technologies to inform product direction and positioning.
• Collaborate directly with Engineering and Infrastructure teams to conceptualize, develop, and deliver cutting-edge GPU solutions optimized for AI, ML, and HPC workloads.
• Serve as the primary advocate for customer deployment requirements, actively collecting and prioritizing feedback to continually refine the capacity consumption experience and platform offerings.
• Partner effectively with Hardware Engineering, Capacity Planning, Solutions Architecture, and Go-to-Market teams to ensure successful, scalable GPU resource launches and full lifecycle management.
• Utilize data-driven approaches to evaluate product success, track key metrics around utilization and deployment velocity, and guide strategic product enhancements.

What You’ll Add to DigitalOcean

• 7+ years of product management experience, specializing in cloud compute infrastructure, accelerated computing, or high-performance networking.
• Deep technical knowledge of GPU architectures (AMD, NVIDIA) and their specific applications in AI, ML, and High-Performance Computing (HPC) environments.
• Proven track record of successfully managing complex infrastructure products from initial concept through large-scale deployment and optimization.
• A strong sense of ownership and a drive to figure out and resolve any issues preventing you and your team from delivering value to your customers
• Exceptional analytical and problem-solving skills, with a demonstrated ability to make and communicate strategic, data-driven decisions, especially related to capacity and scaling.
• Strong leadership and cross-functional communication skills, capable of driving consensus and inspiring collaboration across technical and business teams.
• Customer-focused mindset, with direct experience gathering insights and translating them into valuable product improvements.
• Experience with the Atlassian suite (Jira and Confluence) for managing the flow of value in both Agile and hybrid environments.
• A Bachelor’s or Master’s degree in Computer Science, Engineering, or a related technical field, or equivalent practical work experience

Compensation Range: 

• $186,000 - $233,000

*This is a remote role

#LI-Remote

We are looking for a Staff Product Manager to own the strategic vision, development, and execution of DigitalOcean’s GPU product offerings. This high-impact role positions you at the intersection of advanced technology and market-leading innovation, driving products that influence the future direction of our AI and computational science platform.

As a Staff Product Manager, you will serve as product leader owning the foundation that powers accelerated computing. You will define how we strategically define upcoming GPU products, and develop how to acquire, allocate, and deploy GPU resources at scale, ensuring our product aligns with broader business objectives and customer demand for AI/ML and HPC workloads.

In this role, you will be a hands-on strategist, bridging customer needs, market realities, and complex technical execution to ensure efficient, effective value delivery.

What You’ll Do

• Own and drive the product strategy and roadmap for DigitalOcean’s GPUs including defining capacity, provisioning, and deployment workflow, aligning closely with overall cloud infrastructure objectives.
• Conduct comprehensive market analysis on GPU compute trends, competitive offerings, pricing, and emerging technologies to inform product direction and positioning.
• Collaborate directly with Engineering and Infrastructure teams to conceptualize, develop, and deliver cutting-edge GPU solutions optimized for AI, ML, and HPC workloads.
• Serve as the primary advocate for customer deployment requirements, actively collecting and prioritizing feedback to continually refine the capacity consumption experience and platform offerings.
• Partner effectively with Hardware Engineering, Capacity Planning, Solutions Architecture, and Go-to-Market teams to ensure successful, scalable GPU resource launches and full lifecycle management.
• Utilize data-driven approaches to evaluate product success, track key metrics around utilization and deployment velocity, and guide strategic product enhancements.

What You’ll Add to DigitalOcean

• 7+ years of product management experience, specializing in cloud compute infrastructure, accelerated computing, or high-performance networking.
• Deep technical knowledge of GPU architectures (AMD, NVIDIA) and their specific applications in AI, ML, and High-Performance Computing (HPC) environments.
• Proven track record of successfully managing complex infrastructure products from initial concept through large-scale deployment and optimization.
• A strong sense of ownership and a drive to figure out and resolve any issues preventing you and your team from delivering value to your customers
• Exceptional analytical and problem-solving skills, with a demonstrated ability to make and communicate strategic, data-driven decisions, especially related to capacity and scaling.
• Strong leadership and cross-functional communication skills, capable of driving consensus and inspiring collaboration across technical and business teams.
• Customer-focused mindset, with direct experience gathering insights and translating them into valuable product improvements.
• Experience with the Atlassian suite (Jira and Confluence) for managing the flow of value in both Agile and hybrid environments.
• A Bachelor’s or Master’s degree in Computer Science, Engineering, or a related technical field, or equivalent practical work experience

Compensation Range: 

• $186,000 - $233,000

*This is a remote role

#LI-Remote

We are looking for a Staff Product Manager to own the strategic vision, development, and execution of DigitalOcean’s GPU product offerings. This high-impact role positions you at the intersection of advanced technology and market-leading innovation, driving products that influence the future direction of our AI and computational science platform.

As a Staff Product Manager, you will serve as product leader owning the foundation that powers accelerated computing. You will define how we strategically define upcoming GPU products, and develop how to acquire, allocate, and deploy GPU resources at scale, ensuring our product aligns with broader business objectives and customer demand for AI/ML and HPC workloads.

In this role, you will be a hands-on strategist, bridging customer needs, market realities, and complex technical execution to ensure efficient, effective value delivery.

What You’ll Do

• Own and drive the product strategy and roadmap for DigitalOcean’s GPUs including defining capacity, provisioning, and deployment workflow, aligning closely with overall cloud infrastructure objectives.
• Conduct comprehensive market analysis on GPU compute trends, competitive offerings, pricing, and emerging technologies to inform product direction and positioning.
• Collaborate directly with Engineering and Infrastructure teams to conceptualize, develop, and deliver cutting-edge GPU solutions optimized for AI, ML, and HPC workloads.
• Serve as the primary advocate for customer deployment requirements, actively collecting and prioritizing feedback to continually refine the capacity consumption experience and platform offerings.
• Partner effectively with Hardware Engineering, Capacity Planning, Solutions Architecture, and Go-to-Market teams to ensure successful, scalable GPU resource launches and full lifecycle management.
• Utilize data-driven approaches to evaluate product success, track key metrics around utilization and deployment velocity, and guide strategic product enhancements.

What You’ll Add to DigitalOcean

• 7+ years of product management experience, specializing in cloud compute infrastructure, accelerated computing, or high-performance networking.
• Deep technical knowledge of GPU architectures (AMD, NVIDIA) and their specific applications in AI, ML, and High-Performance Computing (HPC) environments.
• Proven track record of successfully managing complex infrastructure products from initial concept through large-scale deployment and optimization.
• A strong sense of ownership and a drive to figure out and resolve any issues preventing you and your team from delivering value to your customers
• Exceptional analytical and problem-solving skills, with a demonstrated ability to make and communicate strategic, data-driven decisions, especially related to capacity and scaling.
• Strong leadership and cross-functional communication skills, capable of driving consensus and inspiring collaboration across technical and business teams.
• Customer-focused mindset, with direct experience gathering insights and translating them into valuable product improvements.
• Experience with the Atlassian suite (Jira and Confluence) for managing the flow of value in both Agile and hybrid environments.
• A Bachelor’s or Master’s degree in Computer Science, Engineering, or a related technical field, or equivalent practical work experience

Compensation Range: 

• $186,000 - $233,000

*This is a hybrid role

JR: 2025-7388

#LI-Hybrid

We are looking for a Staff Product Manager to own the strategic vision, development, and execution of DigitalOcean’s GPU product offerings. This high-impact role positions you at the intersection of advanced technology and market-leading innovation, driving products that influence the future direction of our AI and computational science platform.

As a Staff Product Manager, you will serve as product leader owning the foundation that powers accelerated computing. You will define how we strategically define upcoming GPU products, and develop how to acquire, allocate, and deploy GPU resources at scale, ensuring our product aligns with broader business objectives and customer demand for AI/ML and HPC workloads.

In this role, you will be a hands-on strategist, bridging customer needs, market realities, and complex technical execution to ensure efficient, effective value delivery.

What You’ll Do

• Own and drive the product strategy and roadmap for DigitalOcean’s GPUs including defining capacity, provisioning, and deployment workflow, aligning closely with overall cloud infrastructure objectives.
• Conduct comprehensive market analysis on GPU compute trends, competitive offerings, pricing, and emerging technologies to inform product direction and positioning.
• Collaborate directly with Engineering and Infrastructure teams to conceptualize, develop, and deliver cutting-edge GPU solutions optimized for AI, ML, and HPC workloads.
• Serve as the primary advocate for customer deployment requirements, actively collecting and prioritizing feedback to continually refine the capacity consumption experience and platform offerings.
• Partner effectively with Hardware Engineering, Capacity Planning, Solutions Architecture, and Go-to-Market teams to ensure successful, scalable GPU resource launches and full lifecycle management.
• Utilize data-driven approaches to evaluate product success, track key metrics around utilization and deployment velocity, and guide strategic product enhancements.

What You’ll Add to DigitalOcean

• 7+ years of product management experience, specializing in cloud compute infrastructure, accelerated computing, or high-performance networking.
• Deep technical knowledge of GPU architectures (AMD, NVIDIA) and their specific applications in AI, ML, and High-Performance Computing (HPC) environments.
• Proven track record of successfully managing complex infrastructure products from initial concept through large-scale deployment and optimization.
• A strong sense of ownership and a drive to figure out and resolve any issues preventing you and your team from delivering value to your customers
• Exceptional analytical and problem-solving skills, with a demonstrated ability to make and communicate strategic, data-driven decisions, especially related to capacity and scaling.
• Strong leadership and cross-functional communication skills, capable of driving consensus and inspiring collaboration across technical and business teams.
• Customer-focused mindset, with direct experience gathering insights and translating them into valuable product improvements.
• Experience with the Atlassian suite (Jira and Confluence) for managing the flow of value in both Agile and hybrid environments.
• A Bachelor’s or Master’s degree in Computer Science, Engineering, or a related technical field, or equivalent practical work experience

Compensation Range: 

• $186,000 - $233,000

*This is a remote role

#LI-Remote

At DigitalOcean, Data Center Engineers play a critical role in building and operating the physical infrastructure that powers our cloud platform. Our team is responsible for deploying, maintaining, and scaling the servers and networking equipment that enable millions of developers to run their applications.

From replacing a faulty drive to helping deploy infrastructure in a brand-new data center, our engineers work across the full lifecycle of hardware operations. You’ll join a collaborative, fast-growing team with opportunities to work on large-scale deployments, new data center expansions, and next-generation infrastructure.

This is a remote position.

What You'll Be Doing

• Deploying, maintaining, and scaling DigitalOcean’s data center infrastructure
• Racking, stacking, and cabling servers, power distribution units (PDUs), and network switches
• Installing and commissioning servers, networking equipment, storage systems, and GPU infrastructure
• Designing and executing large-scale infrastructure deployments including rack buildouts and cluster expansions
• Supporting new data center builds and expansions through rack layout planning and infrastructure readiness validation
• Deploying and troubleshooting high-density compute platforms including GPU and liquid-cooled infrastructure
• Diagnosing and repairing hardware issues across servers, networking equipment, and storage systems
• Debugging hardware, network, and Linux OS related issues
• Submitting RMAs and managing hardware lifecycle replacements with equipment vendors
• Managing shipping, receiving, and inventory tracking of data center hardware and components
• Maintaining deployment documentation, runbooks, and operational procedures
• Partnering with internal engineering teams to support hardware rollouts and infrastructure upgrades
• Supporting operational readiness for new data center deployments
• Participating in an on-call rotation to support infrastructure availability
• Mentoring junior engineers and contributing to team development
  
  

What You'll Add to DigitalOcean

• 6-8+ years of experience deploying, operating, or supporting infrastructure within large-scale data center or cloud environments.
• Strong understanding of data center infrastructure including compute, networking, and storage systems
• Proficient understanding of data center power and cooling architecture
• Experience deploying and troubleshooting GPU hardware and high-density compute infrastructure
• Experience working with or supporting liquid-cooled infrastructure
• Strong Linux knowledge and command line experience; familiarity with bash scripting
• Strong troubleshooting skills across hardware, networking, and operating systems
• Understanding of data center cabling standards and deployment best practices
• Experience supporting large-scale infrastructure deployments or data center expansions
• Ability to analyze infrastructure incidents and drive operational improvements
• Strong problem-solving skills and the ability to perform deep technical investigations
• Experience maintaining deployment documentation and operational procedures
• Ability to collaborate with cross-functional engineering teams
• Willingness to participate in an on-call rotation
• Valid driver’s license and ability to travel domestically and internationally (20–25%)
• Ability to lift objects up to 50 lbs and be on your feet for extended periods
• Ability to mentor and train junior engineers

Compensation Range: 

• $128,000 - $161,000

*This is a remote role

JR: 2026-7651

#LI-Remote

At DigitalOcean, Data Center Engineers play a critical role in building and operating the physical infrastructure that powers our cloud platform. Our team is responsible for deploying, maintaining, and scaling the servers and networking equipment that enable millions of developers to run their applications.

From replacing a faulty drive to helping deploy infrastructure in a brand-new data center, our engineers work across the full lifecycle of hardware operations. You’ll join a collaborative, fast-growing team with opportunities to work on large-scale deployments, new data center expansions, and next-generation infrastructure.

This is a remote position.

What You'll Be Doing

• Deploying, maintaining, and scaling DigitalOcean’s data center infrastructure
• Racking, stacking, and cabling servers, power distribution units (PDUs), and network switches
• Installing and commissioning servers, networking equipment, storage systems, and GPU infrastructure
• Designing and executing large-scale infrastructure deployments including rack buildouts and cluster expansions
• Supporting new data center builds and expansions through rack layout planning and infrastructure readiness validation
• Deploying and troubleshooting high-density compute platforms including GPU and liquid-cooled infrastructure
• Diagnosing and repairing hardware issues across servers, networking equipment, and storage systems
• Debugging hardware, network, and Linux OS related issues
• Submitting RMAs and managing hardware lifecycle replacements with equipment vendors
• Managing shipping, receiving, and inventory tracking of data center hardware and components
• Maintaining deployment documentation, runbooks, and operational procedures
• Partnering with internal engineering teams to support hardware rollouts and infrastructure upgrades
• Supporting operational readiness for new data center deployments
• Participating in an on-call rotation to support infrastructure availability
• Mentoring junior engineers and contributing to team development
  
  

What You'll Add to DigitalOcean

• 6-8+ years of experience deploying, operating, or supporting infrastructure within large-scale data center or cloud environments.
• Strong understanding of data center infrastructure including compute, networking, and storage systems
• Proficient understanding of data center power and cooling architecture
• Experience deploying and troubleshooting GPU hardware and high-density compute infrastructure
• Experience working with or supporting liquid-cooled infrastructure
• Strong Linux knowledge and command line experience; familiarity with bash scripting
• Strong troubleshooting skills across hardware, networking, and operating systems
• Understanding of data center cabling standards and deployment best practices
• Experience supporting large-scale infrastructure deployments or data center expansions
• Ability to analyze infrastructure incidents and drive operational improvements
• Strong problem-solving skills and the ability to perform deep technical investigations
• Experience maintaining deployment documentation and operational procedures
• Ability to collaborate with cross-functional engineering teams
• Willingness to participate in an on-call rotation
• Valid driver’s license and ability to travel domestically and internationally (20–25%)
• Ability to lift objects up to 50 lbs and be on your feet for extended periods
• Ability to mentor and train junior engineers

Compensation Range: 

• $128,000 - $161,000

*This is a remote role

JR: 2026-7651

#LI-Remote

At DigitalOcean, Data Center Engineers play a critical role in building and operating the physical infrastructure that powers our cloud platform. Our team is responsible for deploying, maintaining, and scaling the servers and networking equipment that enable millions of developers to run their applications.

From replacing a faulty drive to helping deploy infrastructure in a brand-new data center, our engineers work across the full lifecycle of hardware operations. You’ll join a collaborative, fast-growing team with opportunities to work on large-scale deployments, new data center expansions, and next-generation infrastructure.

This is a remote position.

What You'll Be Doing

• Deploying, maintaining, and scaling DigitalOcean’s data center infrastructure
• Racking, stacking, and cabling servers, power distribution units (PDUs), and network switches
• Installing and commissioning servers, networking equipment, storage systems, and GPU infrastructure
• Designing and executing large-scale infrastructure deployments including rack buildouts and cluster expansions
• Supporting new data center builds and expansions through rack layout planning and infrastructure readiness validation
• Deploying and troubleshooting high-density compute platforms including GPU and liquid-cooled infrastructure
• Diagnosing and repairing hardware issues across servers, networking equipment, and storage systems
• Debugging hardware, network, and Linux OS related issues
• Submitting RMAs and managing hardware lifecycle replacements with equipment vendors
• Managing shipping, receiving, and inventory tracking of data center hardware and components
• Maintaining deployment documentation, runbooks, and operational procedures
• Partnering with internal engineering teams to support hardware rollouts and infrastructure upgrades
• Supporting operational readiness for new data center deployments
• Participating in an on-call rotation to support infrastructure availability
• Mentoring junior engineers and contributing to team development
  
  

What You'll Add to DigitalOcean

• 6-8+ years of experience deploying, operating, or supporting infrastructure within large-scale data center or cloud environments.
• Strong understanding of data center infrastructure including compute, networking, and storage systems
• Proficient understanding of data center power and cooling architecture
• Experience deploying and troubleshooting GPU hardware and high-density compute infrastructure
• Experience working with or supporting liquid-cooled infrastructure
• Strong Linux knowledge and command line experience; familiarity with bash scripting
• Strong troubleshooting skills across hardware, networking, and operating systems
• Understanding of data center cabling standards and deployment best practices
• Experience supporting large-scale infrastructure deployments or data center expansions
• Ability to analyze infrastructure incidents and drive operational improvements
• Strong problem-solving skills and the ability to perform deep technical investigations
• Experience maintaining deployment documentation and operational procedures
• Ability to collaborate with cross-functional engineering teams
• Willingness to participate in an on-call rotation
• Valid driver’s license and ability to travel domestically and internationally (20–25%)
• Ability to lift objects up to 50 lbs and be on your feet for extended periods
• Ability to mentor and train junior engineers

Compensation Range: 

• $128,000 - $161,000

*This is a hybrid role

JR: 2026-7651

#LI-Hybrid

At DigitalOcean, Data Center Engineers play a critical role in building and operating the physical infrastructure that powers our cloud platform. Our team is responsible for deploying, maintaining, and scaling the servers and networking equipment that enable millions of developers to run their applications.

From replacing a faulty drive to helping deploy infrastructure in a brand-new data center, our engineers work across the full lifecycle of hardware operations. You’ll join a collaborative, fast-growing team with opportunities to work on large-scale deployments, new data center expansions, and next-generation infrastructure.

This is a remote position.

What You'll Be Doing

• Deploying, maintaining, and scaling DigitalOcean’s data center infrastructure
• Racking, stacking, and cabling servers, power distribution units (PDUs), and network switches
• Installing and commissioning servers, networking equipment, storage systems, and GPU infrastructure
• Designing and executing large-scale infrastructure deployments including rack buildouts and cluster expansions
• Supporting new data center builds and expansions through rack layout planning and infrastructure readiness validation
• Deploying and troubleshooting high-density compute platforms including GPU and liquid-cooled infrastructure
• Diagnosing and repairing hardware issues across servers, networking equipment, and storage systems
• Debugging hardware, network, and Linux OS related issues
• Submitting RMAs and managing hardware lifecycle replacements with equipment vendors
• Managing shipping, receiving, and inventory tracking of data center hardware and components
• Maintaining deployment documentation, runbooks, and operational procedures
• Partnering with internal engineering teams to support hardware rollouts and infrastructure upgrades
• Supporting operational readiness for new data center deployments
• Participating in an on-call rotation to support infrastructure availability
• Mentoring junior engineers and contributing to team development
  
  

What You'll Add to DigitalOcean

• 6-8+ years of experience deploying, operating, or supporting infrastructure within large-scale data center or cloud environments.
• Strong understanding of data center infrastructure including compute, networking, and storage systems
• Proficient understanding of data center power and cooling architecture
• Experience deploying and troubleshooting GPU hardware and high-density compute infrastructure
• Experience working with or supporting liquid-cooled infrastructure
• Strong Linux knowledge and command line experience; familiarity with bash scripting
• Strong troubleshooting skills across hardware, networking, and operating systems
• Understanding of data center cabling standards and deployment best practices
• Experience supporting large-scale infrastructure deployments or data center expansions
• Ability to analyze infrastructure incidents and drive operational improvements
• Strong problem-solving skills and the ability to perform deep technical investigations
• Experience maintaining deployment documentation and operational procedures
• Ability to collaborate with cross-functional engineering teams
• Willingness to participate in an on-call rotation
• Valid driver’s license and ability to travel domestically and internationally (20–25%)
• Ability to lift objects up to 50 lbs and be on your feet for extended periods
• Ability to mentor and train junior engineers

Compensation Range: 

• $128,000 - $161,000

*This is a remote role

JR: 2026-7651

#LI-Remote

At DigitalOcean, Data Center Engineers play a critical role in building and operating the physical infrastructure that powers our cloud platform. Our team is responsible for deploying, maintaining, and scaling the servers and networking equipment that enable millions of developers to run their applications.

From replacing a faulty drive to helping deploy infrastructure in a brand-new data center, our engineers work across the full lifecycle of hardware operations. You’ll join a collaborative, fast-growing team with opportunities to work on large-scale deployments, new data center expansions, and next-generation infrastructure.

This is a remote position.

What You'll Be Doing

• Deploying, maintaining, and scaling DigitalOcean’s data center infrastructure
• Racking, stacking, and cabling servers, power distribution units (PDUs), and network switches
• Installing and commissioning servers, networking equipment, storage systems, and GPU infrastructure
• Designing and executing large-scale infrastructure deployments including rack buildouts and cluster expansions
• Supporting new data center builds and expansions through rack layout planning and infrastructure readiness validation
• Deploying and troubleshooting high-density compute platforms including GPU and liquid-cooled infrastructure
• Diagnosing and repairing hardware issues across servers, networking equipment, and storage systems
• Debugging hardware, network, and Linux OS related issues
• Submitting RMAs and managing hardware lifecycle replacements with equipment vendors
• Managing shipping, receiving, and inventory tracking of data center hardware and components
• Maintaining deployment documentation, runbooks, and operational procedures
• Partnering with internal engineering teams to support hardware rollouts and infrastructure upgrades
• Supporting operational readiness for new data center deployments
• Participating in an on-call rotation to support infrastructure availability
• Mentoring junior engineers and contributing to team development
  
  

What You'll Add to DigitalOcean

• 6-8+ years of experience deploying, operating, or supporting infrastructure within large-scale data center or cloud environments.
• Strong understanding of data center infrastructure including compute, networking, and storage systems
• Proficient understanding of data center power and cooling architecture
• Experience deploying and troubleshooting GPU hardware and high-density compute infrastructure
• Experience working with or supporting liquid-cooled infrastructure
• Strong Linux knowledge and command line experience; familiarity with bash scripting
• Strong troubleshooting skills across hardware, networking, and operating systems
• Understanding of data center cabling standards and deployment best practices
• Experience supporting large-scale infrastructure deployments or data center expansions
• Ability to analyze infrastructure incidents and drive operational improvements
• Strong problem-solving skills and the ability to perform deep technical investigations
• Experience maintaining deployment documentation and operational procedures
• Ability to collaborate with cross-functional engineering teams
• Willingness to participate in an on-call rotation
• Valid driver’s license and ability to travel domestically and internationally (20–25%)
• Ability to lift objects up to 50 lbs and be on your feet for extended periods
• Ability to mentor and train junior engineers

Compensation Range: 

• $128,000 - $161,000

*This is a remote role

JR: 2026-7651

#LI-Remote

DigitalOcean is seeking a shift manager for our 24x7 operations team. Reporting into the Senior Manager, Cloud Operations, this manager will be working with one shift of our existing 24x7 CloudOps team to monitor our cloud services, respond to problems, escalate to engineering where appropriate, and work to build and evangelize reliable processes and procedures that improve service quality and reliability.

What You’ll Do:

• Managing all staff from a specific shift, including shift schedules, day to day logistics as well as career growth and development planning conversations, periodic reviews, goal setting and performance management
• Owning the organizational structure shift internally to guarantee 24x7 coverage
• Establish relationships with key staff outside of CloudOps to identify and remedy friction areas
• Understand common workflows, identify and eliminate inefficiencies, work to identify needs
• Creation and maintenance of documentation, both technical and managerial

What You’ll Add to DigitalOcean:

• Experience running a global 24/7 team with shift constraints
• Understanding of Internet protocols, web standards, web and API service architectures
• Familiar with Linux, Networking, and Internet operation technicals
• Experience with monitoring systems at scale, methods, and tooling
• Operational mindset: RACI, ITIL, and process thinking
• Experience with Jira, Google docs, and other cloud tools
• A sense of ownership with ability to function independently on tasks and lead larger efforts once up to speed

*This job is located in Hyderabad, India

#LI-Hybrid

We want people who are passionate about building features that you and your peers will love.

At DigitalOcean, Data Center Technicians play a massive role in the success of our business. Our amazing Data Center team is responsible for maintaining and growing the physical infrastructure of the DigitalOcean cloud, past, present, and future. They own everything related to the physical servers and networking gear that enables our company and our customers to scale.

Day-to-day duties may include everything from replacing a faulty drive in one of our servers to flying overseas to set up a brand-new Data Center from scratch. In exchange for your expertise and enthusiastic interest in DigitalOcean, we can offer you a role on a fast-growing, and collaborative team where you'll be given regular opportunities to hone your skills and learn new ones.

This position is for the Memphis area and requires you to be onsite.

What You'll Be Working On:

• Supporting data center engineers with on-site physical deployments
• Racking, stacking, and cabling servers, power distribution units, and switches under the guidance of data center engineers 
• Replacement of server components such as CPU, RAM, drives and boards
• Submitting RMA to equipment manufacturers, shipping and receiving gear to and from remote locations and vendors.
• Work through assigned tickets and work requests effectively, performs basic diagnosis and repairs to hardware in line with internal SLAs
• Assists data center engineers in debugging network, hardware, and Linux OS-related issues
• Assists with asset management, tracks and monitors data center hardware and component inventory

What We’ll Expect From You:

• Hands-on experience with servers, hardware, and networking is preferred but not essential
• Passionate about data center hardware and infrastructure
• Interest in networking, hardware, and Linux OS
• Excellent verbal and written communication skills, collaborative nature, and a friendly can-do attitude
• Can perform a basic level of troubleshooting preferred but not essential
• A strong desire and aptitude for solving problems 
• A valid driver’s license (must be comfortable with driving)
• Willing to receive guidance from senior engineers and technicians
• Ability to logically analyze and solve problems
• Ability to travel domestically and internationally (10% - 15% travel)
• Willingness to participate in an on-call rotation
• Ability to be on your feet all-day
• Ability to lift objects up to 50 lbs
• Ability to be on-call outside of business hours for escalations as needed

Compensation Range: 

• $66,000 - $83,000

*This is a remote role

JR: 2026-7564

#LI-Remote

DigitalOcean is expanding its AI Infrastructure layer to support the next generation of AI-driven applications.

We are seeking a Senior Engineer 2 to play a key role in our AI Infrastructure Control Plane team. This team's mission is to orchestrate and operate compute fleet, storage and networking for running AI workloads - inference, training, fine-tuning - at scale. In this high-impact role, you will be a primary technical architect and leader, responsible for building the foundational control plane services that power our large Gen AI model hosting infrastructure.

This is a hands-on role, requiring you to be able to develop high quality software while availing of all the productivity boosts granted by the latest AI coding agents. You will bridge the gap between high-scale distributed systems and specialized AI inference orchestration to ensure our global platform remains simple, reliable, and accessible for developers building the next generation of AI applications.

What You’ll Do:

• Architectural Leadership: Drive the design and development of distributed services within our AI Infrastructure ecosystem, including complex orchestration for LLM inference and hosting services. Your focus will be the control plane orchestration of compute, networking, and storage for AI workloads.
• System Design: Create, refine, and assess system design proposals for our high-scale, multi-tenant inference cloud ecosystem, ensuring they meet rigorous standards for availability and resiliency.
• Operational Excellence: Lead the operational strategy for critical services, defining SLOs and leveraging advanced observability to maintain platform health in a high-scale environment.
• Cross-Functional Collaboration: Partner deeply with Product Management, TPMs, and Engineering Management peers to align technical roadmaps with business priorities.
• Strategic Growth: Work on new architecture initiatives that enable fleet optimization and help evolve DigitalOcean into a market leader for AI-native networking and infrastructure.

What You’ll Bring to DigitalOcean:

• Distributed Systems Mastery: Deep experience with distributed and cloud services, including messaging systems, databases, and infrastructure as code, observability, and security.
• Cloud Infrastructure Expertise: Advanced knowledge of cloud networking (VPCs, Load Balancers), containerization (Kubernetes), and cloud storage (block, object, NFS). Deep networking software experience (VLAN, RDMA, Ethernet, L3-L7 network protocols, etc) would be a plus.
• AI/ML Domain Knowledge: Proven experience building AI/ML products, specifically focusing on Gen AI platforms, LLM hosting, and inference workflows.
• Operational Track Record: Significant experience running customer-facing, high-availability services across multiple regions.
• Open Source Engagement: Experience integrating and building with open-source software and a bias for technical ownership.
• Software Engineering: Expert proficiency in GoLang or Python and familiarity with gRPC for service-to-service communication.

Compensation Range: 

• $139,200.00 - $174,000.00

*This is a remote role

JR: 2026-7623

#LI-Remote

DigitalOcean is expanding its AI Infrastructure layer to support the next generation of AI-driven applications.

We are seeking a Senior Engineer 2 to play a key role in our AI Infrastructure Control Plane team. This team's mission is to orchestrate and operate compute fleet, storage and networking for running AI workloads - inference, training, fine-tuning - at scale. In this high-impact role, you will be a primary technical architect and leader, responsible for building the foundational control plane services that power our large Gen AI model hosting infrastructure.

This is a hands-on role, requiring you to be able to develop high quality software while availing of all the productivity boosts granted by the latest AI coding agents. You will bridge the gap between high-scale distributed systems and specialized AI inference orchestration to ensure our global platform remains simple, reliable, and accessible for developers building the next generation of AI applications.

What You’ll Do:

• Architectural Leadership: Drive the design and development of distributed services within our AI Infrastructure ecosystem, including complex orchestration for LLM inference and hosting services. Your focus will be the control plane orchestration of compute, networking, and storage for AI workloads.
• System Design: Create, refine, and assess system design proposals for our high-scale, multi-tenant inference cloud ecosystem, ensuring they meet rigorous standards for availability and resiliency.
• Operational Excellence: Lead the operational strategy for critical services, defining SLOs and leveraging advanced observability to maintain platform health in a high-scale environment.
• Cross-Functional Collaboration: Partner deeply with Product Management, TPMs, and Engineering Management peers to align technical roadmaps with business priorities.
• Strategic Growth: Work on new architecture initiatives that enable fleet optimization and help evolve DigitalOcean into a market leader for AI-native networking and infrastructure.

What You’ll Bring to DigitalOcean:

• Distributed Systems Mastery: Deep experience with distributed and cloud services, including messaging systems, databases, and infrastructure as code, observability, and security.
• Cloud Infrastructure Expertise: Advanced knowledge of cloud networking (VPCs, Load Balancers), containerization (Kubernetes), and cloud storage (block, object, NFS). Deep networking software experience (VLAN, RDMA, Ethernet, L3-L7 network protocols, etc) would be a plus.
• AI/ML Domain Knowledge: Proven experience building AI/ML products, specifically focusing on Gen AI platforms, LLM hosting, and inference workflows.
• Operational Track Record: Significant experience running customer-facing, high-availability services across multiple regions.
• Open Source Engagement: Experience integrating and building with open-source software and a bias for technical ownership.
• Software Engineering: Expert proficiency in GoLang or Python and familiarity with gRPC for service-to-service communication.

Compensation Range: 

• $139,200.00 - $174,000.00

*This is a remote role

JR: 2026-7623

#LI-Remote

At DigitalOcean, Data Center Engineers play a massive role in the success of our business. Our amazing Data Center team is responsible for maintaining and growing the physical infrastructure of the DigitalOcean cloud, past, present and future. They own everything related to the physical servers and networking gear that enables our company, and our customers to scale.
Day to day duties may include everything from replacing a faulty drive in one of our servers, to flying overseas to set up a brand new Data Center from scratch. In exchange for your expertise and enthusiastic interest in DigitalOcean, we can offer you a role on a fast growing, and collaborative team where you'll be given regular opportunities to hone your skills and learn new ones. This position requires you to be onsite at our data center.
This is an onsite position

What You’ll Do:

• Deploying and maintaining Data Center infrastructure
• Racking, stacking and wiring servers, power distribution units, and switches
• Installing servers, switches, routers, and storage hardware
• Submitting RMA to equipment manufacturers and shipping and receiving gear to and from remote locations and vendors
• Submitting and tracking remote work requests and managing server and component inventory
• Diagnosing and repairing hardware and performing upgrades, integrations, rebuilds and other projects as needed
• Debugging network, hardware, and Linux OS related issues
• Inventory and asset management

What You'll Add to DigitalOcean:

• Experience in deploying, maintaining, and working in a data center environment.
• Strong troubleshooting skills in networking, hardware, and Linux operating systems, with experience diagnosing and repairing hardware, executing upgrades, and performing hardware installations.
• Proficient in Linux OS, including working with terminal sessions and command-line interfaces.
• Excellent verbal and written communication skills, with a collaborative mindset and a positive, can-do attitude.
• Strong problem-solving abilities, with a keen aptitude for deep technical dives to quickly and efficiently resolve issues.
• Experience submitting and tracking remote work requests, as well as managing server and component inventory.
• Willingness to participate in an on-call rotation.
• Valid driver’s license and comfort with driving.
• Ability to travel domestically and internationally (10%–15% travel).
• Capability to remain on your feet throughout the workday.
• Ability to lift objects up to 50 lbs.

*This job is located in Germany

#LI-Onsite

DigitalOcean is expanding its AI Infrastructure layer to support the next generation of AI-driven applications.

We are seeking a Senior Engineer 2 to play a key role in our AI Infrastructure Control Plane team. This team's mission is to orchestrate and operate compute fleet, storage and networking for running AI workloads - inference, training, fine-tuning - at scale. In this high-impact role, you will be a primary technical architect and leader, responsible for building the foundational control plane services that power our large Gen AI model hosting infrastructure.

This is a hands-on role, requiring you to be able to develop high quality software while availing of all the productivity boosts granted by the latest AI coding agents. You will bridge the gap between high-scale distributed systems and specialized AI inference orchestration to ensure our global platform remains simple, reliable, and accessible for developers building the next generation of AI applications.

What You’ll Do:

• Architectural Leadership: Drive the design and development of distributed services within our AI Infrastructure ecosystem, including complex orchestration for LLM inference and hosting services. Your focus will be the control plane orchestration of compute, networking, and storage for AI workloads.
• System Design: Create, refine, and assess system design proposals for our high-scale, multi-tenant inference cloud ecosystem, ensuring they meet rigorous standards for availability and resiliency.
• Operational Excellence: Lead the operational strategy for critical services, defining SLOs and leveraging advanced observability to maintain platform health in a high-scale environment.
• Cross-Functional Collaboration: Partner deeply with Product Management, TPMs, and Engineering Management peers to align technical roadmaps with business priorities.
• Strategic Growth: Work on new architecture initiatives that enable fleet optimization and help evolve DigitalOcean into a market leader for AI-native networking and infrastructure.

What You’ll Bring to DigitalOcean:

• Distributed Systems Mastery: Deep experience with distributed and cloud services, including messaging systems, databases, and infrastructure as code, observability, and security.
• Cloud Infrastructure Expertise: Advanced knowledge of cloud networking (VPCs, Load Balancers), containerization (Kubernetes), and cloud storage (block, object, NFS). Deep networking software experience (VLAN, RDMA, Ethernet, L3-L7 network protocols, etc) would be a plus.
• AI/ML Domain Knowledge: Proven experience building AI/ML products, specifically focusing on Gen AI platforms, LLM hosting, and inference workflows.
• Operational Track Record: Significant experience running customer-facing, high-availability services across multiple regions.
• Open Source Engagement: Experience integrating and building with open-source software and a bias for technical ownership.
• Software Engineering: Expert proficiency in GoLang or Python and familiarity with gRPC for service-to-service communication.

Compensation Range: 

• $139,200.00 - $174,000.00

*This is a remote role

JR: 2026-7623

#LI-Remote

DigitalOcean is expanding its AI Infrastructure layer to support the next generation of AI-driven applications.

We are seeking a Senior Engineer 2 to play a key role in our AI Infrastructure Control Plane team. This team's mission is to orchestrate and operate compute fleet, storage and networking for running AI workloads - inference, training, fine-tuning - at scale. In this high-impact role, you will be a primary technical architect and leader, responsible for building the foundational control plane services that power our large Gen AI model hosting infrastructure.

This is a hands-on role, requiring you to be able to develop high quality software while availing of all the productivity boosts granted by the latest AI coding agents. You will bridge the gap between high-scale distributed systems and specialized AI inference orchestration to ensure our global platform remains simple, reliable, and accessible for developers building the next generation of AI applications.

What You’ll Do:

• Architectural Leadership: Drive the design and development of distributed services within our AI Infrastructure ecosystem, including complex orchestration for LLM inference and hosting services. Your focus will be the control plane orchestration of compute, networking, and storage for AI workloads.
• System Design: Create, refine, and assess system design proposals for our high-scale, multi-tenant inference cloud ecosystem, ensuring they meet rigorous standards for availability and resiliency.
• Operational Excellence: Lead the operational strategy for critical services, defining SLOs and leveraging advanced observability to maintain platform health in a high-scale environment.
• Cross-Functional Collaboration: Partner deeply with Product Management, TPMs, and Engineering Management peers to align technical roadmaps with business priorities.
• Strategic Growth: Work on new architecture initiatives that enable fleet optimization and help evolve DigitalOcean into a market leader for AI-native networking and infrastructure.

What You’ll Bring to DigitalOcean:

• Distributed Systems Mastery: Deep experience with distributed and cloud services, including messaging systems, databases, and infrastructure as code, observability, and security.
• Cloud Infrastructure Expertise: Advanced knowledge of cloud networking (VPCs, Load Balancers), containerization (Kubernetes), and cloud storage (block, object, NFS). Deep networking software experience (VLAN, RDMA, Ethernet, L3-L7 network protocols, etc) would be a plus.
• AI/ML Domain Knowledge: Proven experience building AI/ML products, specifically focusing on Gen AI platforms, LLM hosting, and inference workflows.
• Operational Track Record: Significant experience running customer-facing, high-availability services across multiple regions.
• Open Source Engagement: Experience integrating and building with open-source software and a bias for technical ownership.
• Software Engineering: Expert proficiency in GoLang or Python and familiarity with gRPC for service-to-service communication.

Compensation Range: 

• $139,200.00 - $174,000.00

*This is a remote role

JR: 2026-7623

#LI-Remote

DigitalOcean is expanding its AI Infrastructure layer to support the next generation of AI-driven applications.

We are seeking a Senior Engineer 2 to play a key role in our AI Infrastructure Control Plane team. This team's mission is to orchestrate and operate compute fleet, storage and networking for running AI workloads - inference, training, fine-tuning - at scale. In this high-impact role, you will be a primary technical architect and leader, responsible for building the foundational control plane services that power our large Gen AI model hosting infrastructure.

This is a hands-on role, requiring you to be able to develop high quality software while availing of all the productivity boosts granted by the latest AI coding agents. You will bridge the gap between high-scale distributed systems and specialized AI inference orchestration to ensure our global platform remains simple, reliable, and accessible for developers building the next generation of AI applications.

What You’ll Do:

• Architectural Leadership: Drive the design and development of distributed services within our AI Infrastructure ecosystem, including complex orchestration for LLM inference and hosting services. Your focus will be the control plane orchestration of compute, networking, and storage for AI workloads.
• System Design: Create, refine, and assess system design proposals for our high-scale, multi-tenant inference cloud ecosystem, ensuring they meet rigorous standards for availability and resiliency.
• Operational Excellence: Lead the operational strategy for critical services, defining SLOs and leveraging advanced observability to maintain platform health in a high-scale environment.
• Cross-Functional Collaboration: Partner deeply with Product Management, TPMs, and Engineering Management peers to align technical roadmaps with business priorities.
• Strategic Growth: Work on new architecture initiatives that enable fleet optimization and help evolve DigitalOcean into a market leader for AI-native networking and infrastructure.

What You’ll Bring to DigitalOcean:

• Distributed Systems Mastery: Deep experience with distributed and cloud services, including messaging systems, databases, and infrastructure as code, observability, and security.
• Cloud Infrastructure Expertise: Advanced knowledge of cloud networking (VPCs, Load Balancers), containerization (Kubernetes), and cloud storage (block, object, NFS). Deep networking software experience (VLAN, RDMA, Ethernet, L3-L7 network protocols, etc) would be a plus.
• AI/ML Domain Knowledge: Proven experience building AI/ML products, specifically focusing on Gen AI platforms, LLM hosting, and inference workflows.
• Operational Track Record: Significant experience running customer-facing, high-availability services across multiple regions.
• Open Source Engagement: Experience integrating and building with open-source software and a bias for technical ownership.
• Software Engineering: Expert proficiency in GoLang or Python and familiarity with gRPC for service-to-service communication.

Compensation Range: 

• $139,200.00 - $174,000.00

*This is a hybrid role

JR: 2026-7623

#LI-Hybrid

DigitalOcean is seeking a Senior Engineer 2 to play a key technical role in our GPU Kernel and Performance team. DigitalOcean aims to be the Inference Cloud of choice for digitally native companies and you will help ensure we can offer the industry-leading performance for our inference services. You will be responsible for the architectural decisions that maximize throughput and minimize latency for the world’s most advanced large models. As an IC leader, you will act as a force multiplier for the engineering organization, solving the most complex bottlenecks in memory bandwidth and compute utilization while guiding the technical roadmap for our high-performance inference fleet.

What You’ll Do:

• Kernel Engineering: Design and implement high-performance GPU kernels using Triton and CUDA C++.
• Precision Optimization: Develop and deploy state-of-the-art quantization techniques (FP8, INT8, and experimental FP4) to double throughput without losing accuracy.
• Memory Magic: Optimize memory access patterns (SRAM vs. HBM3e) to eliminate bottlenecks in long-context attention mechanisms.
• Research to Production: Implement the latest architectural breakthroughs like FlashAttention-4 and TileLang directly into our production stack.

What You’ll Bring:

• Low-Level Mastery: Deep understanding of GPU architectures (SMs, Warp scheduling, Tensor Cores).
• The Toolkit: Expert-level Triton or CUDA. If you’ve contributed to the Triton compiler or wrote custom CUDA kernels for a major LLM, we want you.
• Math Foundation: Strong grasp of linear algebra and how it maps to parallel hardware.
• Performance Obsession: A track record of optimizing kernels to achieve >80% of theoretical hardware peak performance.

Compensation Range: 

• $167,200.00 to $209,000

*This is a remote role

JR:  2026-7593

#LI-Remote

DigitalOcean is expanding its AI Infrastructure layer to support the next generation of AI-driven applications. We are seeking a Senior Engineer 2 to join our AI Inference Engine Systems team. In this role, you will be a key technical leader responsible for designing, developing, and delivering high-scale, resilient data plane services that power our "Inference as a Service" offering. You will work at the intersection of distributed systems and specialized AI hardware to ensure our customers can deploy and scale their models with industry-leading performance and reliability. This is a hands-on role, requiring you to be able to develop high quality software while availing of all the productivity boosts granted by the latest AI coding agents. 

What You’ll Do:

• Technical Leadership: Act as a technical leader on the team, driving the end-to-end design, development, and delivery of critical data plane components hosting large generative AI models.
• System Design: Architect and refine system design proposals for our high-scale, multi-tenant AI inference cloud ecosystem, ensuring they meet rigorous availability and resiliency standards.
• Performance Optimization: Implement and optimize distributed inference hosting using techniques like tensor/data parallelism, KV cache optimizations, and smart routing.
• Collaboration: Work cross-functionally with Product Managers, customer-facing teams, and other engineering teams to align technical roadmaps with customer needs.
• Mentorship: Coach and mentor junior engineers, fostering a culture of technical excellence and continuous improvement.
• Operational Excellence: Maintain and operate critical, high-scale services, utilizing observability tools and defining SLOs to ensure superior platform health.

What You’ll Bring to DigitalOcean:

• Distributed Systems Expertise: Strong experience with microservices, messaging systems, databases, and infrastructure as code.
• AI/ML Domain Knowledge: Hands-on experience hosting large language or multimodal models using inference engines like vLLM, SGLang, or Modular.
• Inference Frameworks: Familiarity with distributed inference serving frameworks such as llm-d, NVIDIA Dynamo, or Ray Serve.
• Hardware & Interconnects: Understanding of GPU-level optimization and experience with interconnect technologies like NVlink, XGMI, or RoCE.
• Architecture Proficiency: Knowledge of common LLM architectures and optimization techniques (e.g., continuous batching, quantization).
• Software Engineering: Expert-level proficiency in GoLang or Python and familiarity with gRPC.
• Cloud Operations: Proven experience shipping customer-facing software products and running critical services in a high-scale environment similar to DigitalOcean.
• Open Source Mindset: Experience integrating and building with open-source software.

Compensation Range: 

• $167,200.00 - $209,000

*This is a remote role

JR: 2026-7591

#LI-Remote

DigitalOcean is expanding its AI Infrastructure layer to support the next generation of AI-driven applications. We are seeking a Senior Engineer 2 to join our AI Inference Engine Systems team. In this role, you will be a key technical leader responsible for designing, developing, and delivering high-scale, resilient data plane services that power our "Inference as a Service" offering. You will work at the intersection of distributed systems and specialized AI hardware to ensure our customers can deploy and scale their models with industry-leading performance and reliability. This is a hands-on role, requiring you to be able to develop high quality software while availing of all the productivity boosts granted by the latest AI coding agents. 

What You’ll Do:

• Technical Leadership: Act as a technical leader on the team, driving the end-to-end design, development, and delivery of critical data plane components hosting large generative AI models.
• System Design: Architect and refine system design proposals for our high-scale, multi-tenant AI inference cloud ecosystem, ensuring they meet rigorous availability and resiliency standards.
• Performance Optimization: Implement and optimize distributed inference hosting using techniques like tensor/data parallelism, KV cache optimizations, and smart routing.
• Collaboration: Work cross-functionally with Product Managers, customer-facing teams, and other engineering teams to align technical roadmaps with customer needs.
• Mentorship: Coach and mentor junior engineers, fostering a culture of technical excellence and continuous improvement.
• Operational Excellence: Maintain and operate critical, high-scale services, utilizing observability tools and defining SLOs to ensure superior platform health.

What You’ll Bring to DigitalOcean:

• Distributed Systems Expertise: Strong experience with microservices, messaging systems, databases, and infrastructure as code.
• AI/ML Domain Knowledge: Hands-on experience hosting large language or multimodal models using inference engines like vLLM, SGLang, or Modular.
• Inference Frameworks: Familiarity with distributed inference serving frameworks such as llm-d, NVIDIA Dynamo, or Ray Serve.
• Hardware & Interconnects: Understanding of GPU-level optimization and experience with interconnect technologies like NVlink, XGMI, or RoCE.
• Architecture Proficiency: Knowledge of common LLM architectures and optimization techniques (e.g., continuous batching, quantization).
• Software Engineering: Expert-level proficiency in GoLang or Python and familiarity with gRPC.
• Cloud Operations: Proven experience shipping customer-facing software products and running critical services in a high-scale environment similar to DigitalOcean.
• Open Source Mindset: Experience integrating and building with open-source software.

Compensation Range: 

• $167,200.00 - $209,000

*This is a remote role

JR: 2026-7591

#LI-Remote

DigitalOcean is expanding its AI Infrastructure layer to support the next generation of AI-driven applications. We are seeking a Senior Engineer 2 to join our AI Inference Engine Systems team. In this role, you will be a key technical leader responsible for designing, developing, and delivering high-scale, resilient data plane services that power our "Inference as a Service" offering. You will work at the intersection of distributed systems and specialized AI hardware to ensure our customers can deploy and scale their models with industry-leading performance and reliability. This is a hands-on role, requiring you to be able to develop high quality software while availing of all the productivity boosts granted by the latest AI coding agents. 

What You’ll Do:

• Technical Leadership: Act as a technical leader on the team, driving the end-to-end design, development, and delivery of critical data plane components hosting large generative AI models.
• System Design: Architect and refine system design proposals for our high-scale, multi-tenant AI inference cloud ecosystem, ensuring they meet rigorous availability and resiliency standards.
• Performance Optimization: Implement and optimize distributed inference hosting using techniques like tensor/data parallelism, KV cache optimizations, and smart routing.
• Collaboration: Work cross-functionally with Product Managers, customer-facing teams, and other engineering teams to align technical roadmaps with customer needs.
• Mentorship: Coach and mentor junior engineers, fostering a culture of technical excellence and continuous improvement.
• Operational Excellence: Maintain and operate critical, high-scale services, utilizing observability tools and defining SLOs to ensure superior platform health.

What You’ll Bring to DigitalOcean:

• Distributed Systems Expertise: Strong experience with microservices, messaging systems, databases, and infrastructure as code.
• AI/ML Domain Knowledge: Hands-on experience hosting large language or multimodal models using inference engines like vLLM, SGLang, or Modular.
• Inference Frameworks: Familiarity with distributed inference serving frameworks such as llm-d, NVIDIA Dynamo, or Ray Serve.
• Hardware & Interconnects: Understanding of GPU-level optimization and experience with interconnect technologies like NVlink, XGMI, or RoCE.
• Architecture Proficiency: Knowledge of common LLM architectures and optimization techniques (e.g., continuous batching, quantization).
• Software Engineering: Expert-level proficiency in GoLang or Python and familiarity with gRPC.
• Cloud Operations: Proven experience shipping customer-facing software products and running critical services in a high-scale environment similar to DigitalOcean.
• Open Source Mindset: Experience integrating and building with open-source software.

Compensation Range: 

• $167,200.00 - $209,000

*This is a remote role

JR: 2026-7591

#LI-Remote

DigitalOcean is expanding its AI Infrastructure layer to support the next generation of AI-driven applications. We are seeking a Senior Engineer II to join our AI Inference Engine Systems team. In this role, you will be a key technical leader responsible for designing, developing, and delivering high-scale, resilient data plane services that power our "Inference as a Service" offering. You will work at the intersection of distributed systems and specialized AI hardware to ensure our customers can deploy and scale their models with industry-leading performance and reliability. This is a hands-on role, requiring you to be able to develop high quality software while availing of all the productivity boosts granted by the latest AI coding agents. 

What You’ll Do:

• Technical Leadership: Act as a technical leader on the team, driving the end-to-end design, development, and delivery of critical data plane components hosting large generative AI models.
• System Design: Architect and refine system design proposals for our high-scale, multi-tenant AI inference cloud ecosystem, ensuring they meet rigorous availability and resiliency standards.
• Performance Optimization: Implement and optimize distributed inference hosting using techniques like tensor/data parallelism, KV cache optimizations, and smart routing.
• Collaboration: Work cross-functionally with Product Managers, customer-facing teams, and other engineering teams to align technical roadmaps with customer needs.
• Mentorship: Coach and mentor junior engineers, fostering a culture of technical excellence and continuous improvement.
• Operational Excellence: Maintain and operate critical, high-scale services, utilizing observability tools and defining SLOs to ensure superior platform health.

What You’ll Bring to DigitalOcean:

• Distributed Systems Expertise: Strong experience with microservices, messaging systems, databases, and infrastructure as code.
• AI/ML Domain Knowledge: Hands-on experience hosting large language or multimodal models using inference engines like vLLM, SGLang, or Modular.
• Inference Frameworks: Familiarity with distributed inference serving frameworks such as llm-d, NVIDIA Dynamo, or Ray Serve.
• Hardware & Interconnects: Understanding of GPU-level optimization and experience with interconnect technologies like NVlink, XGMI, or RoCE.
• Architecture Proficiency: Knowledge of common LLM architectures and optimization techniques (e.g., continuous batching, quantization).
• Software Engineering: Expert-level proficiency in GoLang or Python and familiarity with gRPC.
• Cloud Operations: Proven experience shipping customer-facing software products and running critical services in a high-scale environment similar to DigitalOcean.
• Open Source Mindset: Experience integrating and building with open-source software.

Compensation Range: 

• $167,200.00 - $209,000

*This is a remote role

JR: 2026-7591

#LI-Remote

DigitalOcean is seeking a Senior Engineer 2 to play a key technical role in our GPU Kernel and Performance team. DigitalOcean aims to be the Inference Cloud of choice for digitally native companies and you will help ensure we can offer the industry-leading performance for our inference services. You will be responsible for the architectural decisions that maximize throughput and minimize latency for the world’s most advanced large models. As an IC leader, you will act as a force multiplier for the engineering organization, solving the most complex bottlenecks in memory bandwidth and compute utilization while guiding the technical roadmap for our high-performance inference fleet.

What You’ll Do:

• Kernel Engineering: Design and implement high-performance GPU kernels using Triton and CUDA C++.
• Precision Optimization: Develop and deploy state-of-the-art quantization techniques (FP8, INT8, and experimental FP4) to double throughput without losing accuracy.
• Memory Magic: Optimize memory access patterns (SRAM vs. HBM3e) to eliminate bottlenecks in long-context attention mechanisms.
• Research to Production: Implement the latest architectural breakthroughs like FlashAttention-4 and TileLang directly into our production stack.

What You’ll Bring:

• Low-Level Mastery: Deep understanding of GPU architectures (SMs, Warp scheduling, Tensor Cores).
• The Toolkit: Expert-level Triton or CUDA. If you’ve contributed to the Triton compiler or wrote custom CUDA kernels for a major LLM, we want you.
• Math Foundation: Strong grasp of linear algebra and how it maps to parallel hardware.
• Performance Obsession: A track record of optimizing kernels to achieve >80% of theoretical hardware peak performance.

Compensation Range: 

• $167,200.00 to $209,000

*This is a hybrid role

JR: 2026-7593

#LI-Hybrid

DigitalOcean is seeking a Senior Engineer 2 to play a key technical role in our GPU Kernel and Performance team. DigitalOcean aims to be the Inference Cloud of choice for digitally native companies and you will help ensure we can offer the industry-leading performance for our inference services. You will be responsible for the architectural decisions that maximize throughput and minimize latency for the world’s most advanced large models. As an IC leader, you will act as a force multiplier for the engineering organization, solving the most complex bottlenecks in memory bandwidth and compute utilization while guiding the technical roadmap for our high-performance inference fleet.

What You’ll Do:

• Kernel Engineering: Design and implement high-performance GPU kernels using Triton and CUDA C++.
• Precision Optimization: Develop and deploy state-of-the-art quantization techniques (FP8, INT8, and experimental FP4) to double throughput without losing accuracy.
• Memory Magic: Optimize memory access patterns (SRAM vs. HBM3e) to eliminate bottlenecks in long-context attention mechanisms.
• Research to Production: Implement the latest architectural breakthroughs like FlashAttention-4 and TileLang directly into our production stack.

What You’ll Bring:

• Low-Level Mastery: Deep understanding of GPU architectures (SMs, Warp scheduling, Tensor Cores).
• The Toolkit: Expert-level Triton or CUDA. If you’ve contributed to the Triton compiler or wrote custom CUDA kernels for a major LLM, we want you.
• Math Foundation: Strong grasp of linear algebra and how it maps to parallel hardware.
• Performance Obsession: A track record of optimizing kernels to achieve >80% of theoretical hardware peak performance.

Compensation Range: 

• $167,200.00 to $209,000

*This is a remote role

JR:  2026-7593

#LI-Remote

DigitalOcean is seeking a Senior Engineer 2 to play a key technical role in our GPU Kernel and Performance team. DigitalOcean aims to be the Inference Cloud of choice for digitally native companies and you will help ensure we can offer the industry-leading performance for our inference services. You will be responsible for the architectural decisions that maximize throughput and minimize latency for the world’s most advanced large models. As an IC leader, you will act as a force multiplier for the engineering organization, solving the most complex bottlenecks in memory bandwidth and compute utilization while guiding the technical roadmap for our high-performance inference fleet.

What You’ll Do:

• Kernel Engineering: Design and implement high-performance GPU kernels using Triton and CUDA C++.
• Precision Optimization: Develop and deploy state-of-the-art quantization techniques (FP8, INT8, and experimental FP4) to double throughput without losing accuracy.
• Memory Magic: Optimize memory access patterns (SRAM vs. HBM3e) to eliminate bottlenecks in long-context attention mechanisms.
• Research to Production: Implement the latest architectural breakthroughs like FlashAttention-4 and TileLang directly into our production stack.

What You’ll Bring:

• Low-Level Mastery: Deep understanding of GPU architectures (SMs, Warp scheduling, Tensor Cores).
• The Toolkit: Expert-level Triton or CUDA. If you’ve contributed to the Triton compiler or wrote custom CUDA kernels for a major LLM, we want you.
• Math Foundation: Strong grasp of linear algebra and how it maps to parallel hardware.
• Performance Obsession: A track record of optimizing kernels to achieve >80% of theoretical hardware peak performance.

Compensation Range: 

• $167,200.00 to $209,000

*This is a remote role

JR:  2026-7593

#LI-Remote

DigitalOcean is seeking a Senior Engineer 2 to play a key technical role in our GPU Kernel and Performance team. DigitalOcean aims to be the Inference Cloud of choice for digitally native companies and you will help ensure we can offer the industry-leading performance for our inference services. You will be responsible for the architectural decisions that maximize throughput and minimize latency for the world’s most advanced large models. As an IC leader, you will act as a force multiplier for the engineering organization, solving the most complex bottlenecks in memory bandwidth and compute utilization while guiding the technical roadmap for our high-performance inference fleet.

What You’ll Do:

• Kernel Engineering: Design and implement high-performance GPU kernels using Triton and CUDA C++.
• Precision Optimization: Develop and deploy state-of-the-art quantization techniques (FP8, INT8, and experimental FP4) to double throughput without losing accuracy.
• Memory Magic: Optimize memory access patterns (SRAM vs. HBM3e) to eliminate bottlenecks in long-context attention mechanisms.
• Research to Production: Implement the latest architectural breakthroughs like FlashAttention-4 and TileLang directly into our production stack.

What You’ll Bring:

• Low-Level Mastery: Deep understanding of GPU architectures (SMs, Warp scheduling, Tensor Cores).
• The Toolkit: Expert-level Triton or CUDA. If you’ve contributed to the Triton compiler or wrote custom CUDA kernels for a major LLM, we want you.
• Math Foundation: Strong grasp of linear algebra and how it maps to parallel hardware.
• Performance Obsession: A track record of optimizing kernels to achieve >80% of theoretical hardware peak performance.

Compensation Range: 

• $167,200.00 to $209,000

*This is a remote role

JR:  2026-7593

#LI-Remote

DigitalOcean is expanding its AI Infrastructure layer to support the next generation of AI-driven applications. We are seeking a Senior Engineer 2 to join our AI Inference Engine Systems team. In this role, you will be a key technical leader responsible for designing, developing, and delivering high-scale, resilient data plane services that power our "Inference as a Service" offering. You will work at the intersection of distributed systems and specialized AI hardware to ensure our customers can deploy and scale their models with industry-leading performance and reliability. This is a hands-on role, requiring you to be able to develop high quality software while availing of all the productivity boosts granted by the latest AI coding agents. 

What You’ll Do:

• Technical Leadership: Act as a technical leader on the team, driving the end-to-end design, development, and delivery of critical data plane components hosting large generative AI models.
• System Design: Architect and refine system design proposals for our high-scale, multi-tenant AI inference cloud ecosystem, ensuring they meet rigorous availability and resiliency standards.
• Performance Optimization: Implement and optimize distributed inference hosting using techniques like tensor/data parallelism, KV cache optimizations, and smart routing.
• Collaboration: Work cross-functionally with Product Managers, customer-facing teams, and other engineering teams to align technical roadmaps with customer needs.
• Mentorship: Coach and mentor junior engineers, fostering a culture of technical excellence and continuous improvement.
• Operational Excellence: Maintain and operate critical, high-scale services, utilizing observability tools and defining SLOs to ensure superior platform health.

What You’ll Bring to DigitalOcean:

• Distributed Systems Expertise: Strong experience with microservices, messaging systems, databases, and infrastructure as code.
• AI/ML Domain Knowledge: Hands-on experience hosting large language or multimodal models using inference engines like vLLM, SGLang, or Modular.
• Inference Frameworks: Familiarity with distributed inference serving frameworks such as llm-d, NVIDIA Dynamo, or Ray Serve.
• Hardware & Interconnects: Understanding of GPU-level optimization and experience with interconnect technologies like NVlink, XGMI, or RoCE.
• Architecture Proficiency: Knowledge of common LLM architectures and optimization techniques (e.g., continuous batching, quantization).
• Software Engineering: Expert-level proficiency in GoLang or Python and familiarity with gRPC.
• Cloud Operations: Proven experience shipping customer-facing software products and running critical services in a high-scale environment similar to DigitalOcean.
• Open Source Mindset: Experience integrating and building with open-source software.

Compensation Range: 

• $167,200.00 - $209,000

*This is a hybrid role

JR: 2026-7591

#LI-Hybrid

We want people who are passionate about building features that you and your peers will love.

At DigitalOcean, Data Center Engineers play a massive role in the success of our business. Our amazing Data Center team is responsible for maintaining and growing the physical infrastructure of the DigitalOcean cloud, past, present and future. They own everything related to the physical servers and networking gear that enables our company, and our customers to scale.

Day to day duties may include everything from replacing a faulty drive in one of our servers, to flying overseas to set up a brand new Data Center from scratch. In exchange for your expertise and enthusiastic interest in DigitalOcean, we can offer you a role on a fast growing, and collaborative team where you'll be given regular opportunities to hone your skills and learn new ones. This position requires you to be onsite at our data center.

This position is for the KC area and requires you to be onsite.

What You'll Be Doing:

• Deploying and maintaining Data Center infrastructure
• Racking, stacking and wiring servers, power distribution units, and switches
• Installing servers, switches, routers, and storage hardware
• Submitting RMA to equipment manufacturers and shipping and receiving gear to and from remote locations and vendors
• Submitting and tracking remote work requests and managing server and component inventory
• Diagnosing and repairing hardware and performing upgrades, integrations, rebuilds and other projects as needed
• Debugging network, hardware, and Linux OS related issues
• Inventory and asset management

What You'll Add to DigitalOcean:

• Proficient understanding in data center power and cooling design and architecture to help ensure new data center spaces, cages and suites are designed as per operational standards.
• Experience deploying and troubleshooting GPU Hardware
• Strong understanding of operating systems (OS) such as Linux; proficient with bash scripting.
• Strong understanding of infrastructure hardware deployment and troubleshooting skills in networking, hardware, and Linux OS related issues
• Strong understanding in data center cabling plans and best practices
• Able to evaluate and discuss data center events and/or incidents, leveraging data to drive improvements. While taking action and ensuring timely resolution and closure
• A strong desire and aptitude for solving problems and performing deep technical dives to resolve issues quickly and efficiently
• Ability to update, review and approve operational documentation and procedures
• Experience developing and standardizing operational framework that drive improvement
• Can assist with budgetary and planning requirements for future projects and initiatives
• Ability to create and define key performance metrics to help drive efficiency
• Ability to operate and navigate effectively through ambiguity 
• Willingness to participate in an on-call rotation
• A valid driver’s license (must be comfortable with driving)
• Ability to travel domestically and internationally (10% - 15% travel)
• Ability to be on your feet all day
• Ability to lift objects up to 50 lbs
• Ability to train and develop other junior engineers

Compensation Range: 

• $92,000 - $116,000

*This is an onsite role

#LI-Onsite

We want people who are passionate about building features that you and your peers will love.

At DigitalOcean, Data Center Engineers play a massive role in the success of our business. Our amazing Data Center team is responsible for maintaining and growing the physical infrastructure of the DigitalOcean cloud, past, present and future. They own everything related to the physical servers and networking gear that enables our company, and our customers to scale.

Day to day duties may include everything from replacing a faulty drive in one of our servers, to flying overseas to set up a brand new Data Center from scratch. In exchange for your expertise and enthusiastic interest in DigitalOcean, we can offer you a role on a fast growing, and collaborative team where you'll be given regular opportunities to hone your skills and learn new ones. This position requires you to be onsite at our data center.

This is an onsite position

What You’ll Do:

• Deploying and maintaining Data Center infrastructure
• Racking, stacking and wiring servers, power distribution units, and switches
• Installing servers, switches, routers, and storage hardware
• Submitting RMA to equipment manufacturers and shipping and receiving gear to and from remote locations and vendors
• Submitting and tracking remote work requests and managing server and component inventory
• Diagnosing and repairing hardware and performing upgrades, integrations, rebuilds and other projects as needed
• Debugging network, hardware, and Linux OS related issues
• Inventory and asset management

What You'll Add to DigitalOcean:

• Experience in deploying, maintaining, and working in a data center environment.
• Strong troubleshooting skills in networking, hardware, and Linux operating systems, with experience diagnosing and repairing hardware, executing upgrades, and performing hardware installations.
• Proficient in Linux OS, including working with terminal sessions and command-line interfaces.
• Excellent verbal and written communication skills, with a collaborative mindset and a positive, can-do attitude.
• Strong problem-solving abilities, with a keen aptitude for deep technical dives to quickly and efficiently resolve issues.
• Experience submitting and tracking remote work requests, as well as managing server and component inventory.
• Willingness to participate in an on-call rotation.
• Valid driver’s license and comfort with driving.
• Ability to travel domestically and internationally (10%–15% travel).
• Capability to remain on your feet throughout the workday.
• Ability to lift objects up to 50 lbs.

This is an Onsite role

#LI-Onsite