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Senior Solutions Architect II, AI/ML
Dive in and do the best work of your career at DigitalOcean. Journey alongside a strong community of top talent who are relentless in their drive to build the simplest scalable cloud. If you have a growth mindset, naturally like to think big and bold, and are energized by the fast-paced environment of a true industry disruptor, you’ll find your place here. We value winning together—while learning, having fun, and making a profound difference for the dreamers and builders in the world.
We want people who are passionate about solving complex cloud infrastructure challenges for our customers.
We are looking for a Solutions Architect with expertise in cloud infrastructure to support the success and retention of DigitalOcean's high-value customers. Reporting to the Manager of Solutions Architecture, you will work directly with Customer Success, Sales, and Support functions to retain and grow DigitalOcean’s largest and fastest growing customers. You will be the technical subject matter expert on DigitalOcean’s portfolio, advising on best practices and guiding customers to the optimal solution to meet their business objectives. You will work closely with other functions within DigitalOcean such as Product, Engineering, and Operations to ensure the needs and insights from the local markets are funneled appropriately back into DigitalOcean's products and services.
This is an amazing growth opportunity for a highly motivated individual to establish and expand our presence within the region. Technical depth, excellent communication skills, and a self-starter mentality are needed.
What You Will Be Doing:
As a Senior Solutions Architect II, you will serve as a technical partner to the success and sales teams. You will perform architecture reviews, proof of concepts, demos, uncover customer technical needs, and demonstrate DigitalOcean's value proposition. Working with AEs, GAM and TAM counterparts, you'll help retain large customers and expand their workloads on DigitalOcean.
- Develop deep expertise in the DigitalOcean product portfolio, the evolving cloud landscape, and AI/ML platforms.
- Advocate for customers by providing feedback to product teams, overcoming adoption blockers, and driving new feature development.
- Offer personalized onboarding assistance and guide customers through their cloud journey, resolving technical blockers.
- Design and review architecture tailored to specific business use cases, ensuring optimal solutions for customers.
- Implement and oversee infrastructure management best practices to secure and optimize cloud resources.
- Identify opportunities for cost reduction and performance improvement, helping customers make data-driven cloud optimization decisions.
- Conduct technical consultation sessions, workshops, and training for customers to empower them in managing cloud infrastructure.
- Partner with Growth Account Managers and Customer Success Managers to create success plans that ensure customer retention, expansion, and satisfaction.
- Provide regular presentations articulating product benefits, functionality, and technical solutions.
- Demonstrate strong expertise in AI/ML frameworks like TensorFlow and PyTorch and usage of platforms like Hugging Face, with experience deploying and fine-tuning LLMs and GenAI models.
- Optimize GPU workloads using CUDA or TensorRT and build scalable AI applications like chatbots, inference services or recommendation systems using Kubernetes and NFS.
- Design AI solutions tailored to business needs, manage data pipelines, and integrate databases.
- Liaise with Engineering and Support teams to resolve escalations and growth obstacles in a timely fashion.
- Identify and drive process improvement opportunities and promote technical best practices across the organization.
- Contribute to internal and external documentation, such as "The Navigator’s Guide to DO."
- Build tools to enhance the experience of Premium Support customers and improve platform usability.
- Demonstrate proficiency in DevOps tools like Docker, Terraform, and CI/CD pipelines.
- Leverage expertise in Kubernetes, Managed DBaaS, and the DigitalOcean GenAI Platform.
- Work both independently and collaboratively with a global team of Solutions Architects, Customer Success Managers, and Account Managers.
What We'll Expect From You:
- Proven professional experience with cloud infrastructure, AI/ML platforms, or equivalent education.
- Expertise in AI/ML frameworks (e.g., TensorFlow, PyTorch) and familiarity with platforms like Hugging Face.
- Experience deploying and fine-tuning LLMs (e.g., DeepSeek, Llama, Claude, GPT-4) and GenAI models.
- Deep knowledge of Linux, distributed systems, Kubernetes, NFS, Object Storage, and GPU optimization techniques (e.g., CUDA, TensorRT).
- Hands-on experience leveraging vllm and various quantization methods (e.g., INT4, INT8, and FP8) for efficient model deployment.
- Programming/development experience, particularly in building AI-powered applications (e.g., recommendation systems, chatbots).
- Experience working in a post-sales or technical consultant role with a focus on AI/ML and cloud solutions.
- Knowledge of provisioning, deployment strategies, and tools like Terraform, Kubernetes, and Docker.
- Passionate about customer experience and leveraging AI/ML to solve complex business problems.
- Track record of developing successful technical solutions, including AI/ML use cases, to address customer challenges.
- Ability to balance the demands of multiple stakeholders, define priorities, and set appropriate expectations.
- Strong understanding of AI/ML data pipelines, cloud-native databases, and integration strategies.
- Passionate about technology, open source projects, and applying cutting-edge AI/ML innovations.
- Strong communication skills, with the ability to explain technical AI/ML concepts in clear and concise terms.
- Quickly learn DigitalOcean systems and adapt to rapid changes in cloud and AI/ML trends.
- Fluency in English.
- Highly motivated with a self-starter mentality, ready to tackle AI/ML challenges head-on.
Extra Credit:
- Cloud certifications are highly desirable (AWS/GCP/Oracle/Azure)
- NVIDIA Certifications around GPU and AI/ML
- Networking: Cisco/Juniper Certifications
- Programming/Scripting: Ruby, Python, Go, Bash
- Source Code: Git
- Automation: Terraform, Ansible, Chef, Puppet, Saltstack
- Virtualization: KVM, Xen
- Databases: MongoDB, MySQL, Redis, PostgreSQL
- Open Source: CoreOS, Docker, Kubernetes (CKA/CKE), Vagrant
- DigitalOcean: API, libraries, services
- Linux: RHCSA/RHCE
Compensation Range:
- Base: $150,000 - $182,000 / Target OTE: $200,000 - 240,000
*This is a remote role
JR: 2026-7695
#LI-Remote
Why You’ll Like Working for DigitalOcean
- We innovate with purpose. You’ll be a part of a cutting-edge technology company with an upward trajectory, who are proud to simplify cloud and AI so builders can spend more time creating software that changes the world. As a member of the team, you will be a Shark who thinks big, bold, and scrappy, like an owner with a bias for action and a powerful sense of responsibility for customers, products, employees, and decisions.
- We prioritize career development. At DO, you’ll do the best work of your career. You will work with some of the smartest and most interesting people in the industry. We are a high-performance organization that will always challenge you to think big. Our organizational development team will provide you with resources to ensure you keep growing. We provide employees with reimbursement for relevant conferences, training, and education. All employees have access to LinkedIn Learning's 10,000+ courses to support their continued growth and development.
- We care about your well-being. Regardless of your location, we will provide you with a competitive array of benefits to support you from our Employee Assistance Program to Local Employee Meetups to flexible time off policy, to name a few. While the philosophy around our benefits is the same worldwide, specific benefits may vary based on local regulations and preferences.
- We reward our employees. The salary range for this position is based on market data, relevant years of experience, and skills. You may qualify for a bonus in addition to base salary; bonus amounts are determined based on company and individual performance. We also provide equity compensation to eligible employees, including equity grants upon hire and the option to participate in our Employee Stock Purchase Program.
- DigitalOcean is an equal-opportunity employer. We do not discriminate on the basis of race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service.
Application Limit: You may apply to a maximum of 3 positions within any 180-day period. This policy promotes better role-candidate matching and encourages thoughtful applications where your qualifications align most strongly.
Ready to apply?
Apply to DigitalOcean
Senior Solutions Architect II, AI/ML
Dive in and do the best work of your career at DigitalOcean. Journey alongside a strong community of top talent who are relentless in their drive to build the simplest scalable cloud. If you have a growth mindset, naturally like to think big and bold, and are energized by the fast-paced environment of a true industry disruptor, you’ll find your place here. We value winning together—while learning, having fun, and making a profound difference for the dreamers and builders in the world.
We want people who are passionate about solving complex cloud infrastructure challenges for our customers.
We are looking for a Solutions Architect with expertise in cloud infrastructure to support the success and retention of DigitalOcean's high-value customers. Reporting to the Manager of Solutions Architecture, you will work directly with Customer Success, Sales, and Support functions to retain and grow DigitalOcean’s largest and fastest growing customers. You will be the technical subject matter expert on DigitalOcean’s portfolio, advising on best practices and guiding customers to the optimal solution to meet their business objectives. You will work closely with other functions within DigitalOcean such as Product, Engineering, and Operations to ensure the needs and insights from the local markets are funneled appropriately back into DigitalOcean's products and services.
This is an amazing growth opportunity for a highly motivated individual to establish and expand our presence within the region. Technical depth, excellent communication skills, and a self-starter mentality are needed.
What You Will Be Doing:
As a Senior Solutions Architect II, you will serve as a technical partner to the success and sales teams. You will perform architecture reviews, proof of concepts, demos, uncover customer technical needs, and demonstrate DigitalOcean's value proposition. Working with AEs, GAM and TAM counterparts, you'll help retain large customers and expand their workloads on DigitalOcean.
- Develop deep expertise in the DigitalOcean product portfolio, the evolving cloud landscape, and AI/ML platforms.
- Advocate for customers by providing feedback to product teams, overcoming adoption blockers, and driving new feature development.
- Offer personalized onboarding assistance and guide customers through their cloud journey, resolving technical blockers.
- Design and review architecture tailored to specific business use cases, ensuring optimal solutions for customers.
- Implement and oversee infrastructure management best practices to secure and optimize cloud resources.
- Identify opportunities for cost reduction and performance improvement, helping customers make data-driven cloud optimization decisions.
- Conduct technical consultation sessions, workshops, and training for customers to empower them in managing cloud infrastructure.
- Partner with Growth Account Managers and Customer Success Managers to create success plans that ensure customer retention, expansion, and satisfaction.
- Provide regular presentations articulating product benefits, functionality, and technical solutions.
- Demonstrate strong expertise in AI/ML frameworks like TensorFlow and PyTorch and usage of platforms like Hugging Face, with experience deploying and fine-tuning LLMs and GenAI models.
- Optimize GPU workloads using CUDA or TensorRT and build scalable AI applications like chatbots, inference services or recommendation systems using Kubernetes and NFS.
- Design AI solutions tailored to business needs, manage data pipelines, and integrate databases.
- Liaise with Engineering and Support teams to resolve escalations and growth obstacles in a timely fashion.
- Identify and drive process improvement opportunities and promote technical best practices across the organization.
- Contribute to internal and external documentation, such as "The Navigator’s Guide to DO."
- Build tools to enhance the experience of Premium Support customers and improve platform usability.
- Demonstrate proficiency in DevOps tools like Docker, Terraform, and CI/CD pipelines.
- Leverage expertise in Kubernetes, Managed DBaaS, and the DigitalOcean GenAI Platform.
- Work both independently and collaboratively with a global team of Solutions Architects, Customer Success Managers, and Account Managers.
What We'll Expect From You:
- Proven professional experience with cloud infrastructure, AI/ML platforms, or equivalent education.
- Expertise in AI/ML frameworks (e.g., TensorFlow, PyTorch) and familiarity with platforms like Hugging Face.
- Experience deploying and fine-tuning LLMs (e.g., DeepSeek, Llama, Claude, GPT-4) and GenAI models.
- Deep knowledge of Linux, distributed systems, Kubernetes, NFS, Object Storage, and GPU optimization techniques (e.g., CUDA, TensorRT).
- Hands-on experience leveraging vllm and various quantization methods (e.g., INT4, INT8, and FP8) for efficient model deployment.
- Programming/development experience, particularly in building AI-powered applications (e.g., recommendation systems, chatbots).
- Experience working in a post-sales or technical consultant role with a focus on AI/ML and cloud solutions.
- Knowledge of provisioning, deployment strategies, and tools like Terraform, Kubernetes, and Docker.
- Passionate about customer experience and leveraging AI/ML to solve complex business problems.
- Track record of developing successful technical solutions, including AI/ML use cases, to address customer challenges.
- Ability to balance the demands of multiple stakeholders, define priorities, and set appropriate expectations.
- Strong understanding of AI/ML data pipelines, cloud-native databases, and integration strategies.
- Passionate about technology, open source projects, and applying cutting-edge AI/ML innovations.
- Strong communication skills, with the ability to explain technical AI/ML concepts in clear and concise terms.
- Quickly learn DigitalOcean systems and adapt to rapid changes in cloud and AI/ML trends.
- Fluency in English.
- Highly motivated with a self-starter mentality, ready to tackle AI/ML challenges head-on.
Extra Credit:
- Cloud certifications are highly desirable (AWS/GCP/Oracle/Azure)
- NVIDIA Certifications around GPU and AI/ML
- Networking: Cisco/Juniper Certifications
- Programming/Scripting: Ruby, Python, Go, Bash
- Source Code: Git
- Automation: Terraform, Ansible, Chef, Puppet, Saltstack
- Virtualization: KVM, Xen
- Databases: MongoDB, MySQL, Redis, PostgreSQL
- Open Source: CoreOS, Docker, Kubernetes (CKA/CKE), Vagrant
- DigitalOcean: API, libraries, services
- Linux: RHCSA/RHCE
Compensation Range:
- Base: $150,000 - $182,000 / Target OTE: $200,000 - 240,000
*This is a remote role
JR: 2026-7695
#LI-Remote
Why You’ll Like Working for DigitalOcean
- We innovate with purpose. You’ll be a part of a cutting-edge technology company with an upward trajectory, who are proud to simplify cloud and AI so builders can spend more time creating software that changes the world. As a member of the team, you will be a Shark who thinks big, bold, and scrappy, like an owner with a bias for action and a powerful sense of responsibility for customers, products, employees, and decisions.
- We prioritize career development. At DO, you’ll do the best work of your career. You will work with some of the smartest and most interesting people in the industry. We are a high-performance organization that will always challenge you to think big. Our organizational development team will provide you with resources to ensure you keep growing. We provide employees with reimbursement for relevant conferences, training, and education. All employees have access to LinkedIn Learning's 10,000+ courses to support their continued growth and development.
- We care about your well-being. Regardless of your location, we will provide you with a competitive array of benefits to support you from our Employee Assistance Program to Local Employee Meetups to flexible time off policy, to name a few. While the philosophy around our benefits is the same worldwide, specific benefits may vary based on local regulations and preferences.
- We reward our employees. The salary range for this position is based on market data, relevant years of experience, and skills. You may qualify for a bonus in addition to base salary; bonus amounts are determined based on company and individual performance. We also provide equity compensation to eligible employees, including equity grants upon hire and the option to participate in our Employee Stock Purchase Program.
- DigitalOcean is an equal-opportunity employer. We do not discriminate on the basis of race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service.
Application Limit: You may apply to a maximum of 3 positions within any 180-day period. This policy promotes better role-candidate matching and encourages thoughtful applications where your qualifications align most strongly.
Ready to apply?
Apply to DigitalOcean
Senior Solutions Architect II, AI/ML
Dive in and do the best work of your career at DigitalOcean. Journey alongside a strong community of top talent who are relentless in their drive to build the simplest scalable cloud. If you have a growth mindset, naturally like to think big and bold, and are energized by the fast-paced environment of a true industry disruptor, you’ll find your place here. We value winning together—while learning, having fun, and making a profound difference for the dreamers and builders in the world.
We want people who are passionate about solving complex cloud infrastructure challenges for our customers.
We are looking for a Solutions Architect with expertise in cloud infrastructure to support the success and retention of DigitalOcean's high-value customers. Reporting to the Manager of Solutions Architecture, you will work directly with Customer Success, Sales, and Support functions to retain and grow DigitalOcean’s largest and fastest growing customers. You will be the technical subject matter expert on DigitalOcean’s portfolio, advising on best practices and guiding customers to the optimal solution to meet their business objectives. You will work closely with other functions within DigitalOcean such as Product, Engineering, and Operations to ensure the needs and insights from the local markets are funneled appropriately back into DigitalOcean's products and services.
This is an amazing growth opportunity for a highly motivated individual to establish and expand our presence within the region. Technical depth, excellent communication skills, and a self-starter mentality are needed.
What You Will Be Doing:
As a Senior Solutions Architect II, you will serve as a technical partner to the success and sales teams. You will perform architecture reviews, proof of concepts, demos, uncover customer technical needs, and demonstrate DigitalOcean's value proposition. Working with AEs, GAM and TAM counterparts, you'll help retain large customers and expand their workloads on DigitalOcean.
- Develop deep expertise in the DigitalOcean product portfolio, the evolving cloud landscape, and AI/ML platforms.
- Advocate for customers by providing feedback to product teams, overcoming adoption blockers, and driving new feature development.
- Offer personalized onboarding assistance and guide customers through their cloud journey, resolving technical blockers.
- Design and review architecture tailored to specific business use cases, ensuring optimal solutions for customers.
- Implement and oversee infrastructure management best practices to secure and optimize cloud resources.
- Identify opportunities for cost reduction and performance improvement, helping customers make data-driven cloud optimization decisions.
- Conduct technical consultation sessions, workshops, and training for customers to empower them in managing cloud infrastructure.
- Partner with Growth Account Managers and Customer Success Managers to create success plans that ensure customer retention, expansion, and satisfaction.
- Provide regular presentations articulating product benefits, functionality, and technical solutions.
- Demonstrate strong expertise in AI/ML frameworks like TensorFlow and PyTorch and usage of platforms like Hugging Face, with experience deploying and fine-tuning LLMs and GenAI models.
- Optimize GPU workloads using CUDA or TensorRT and build scalable AI applications like chatbots, inference services or recommendation systems using Kubernetes and NFS.
- Design AI solutions tailored to business needs, manage data pipelines, and integrate databases.
- Liaise with Engineering and Support teams to resolve escalations and growth obstacles in a timely fashion.
- Identify and drive process improvement opportunities and promote technical best practices across the organization.
- Contribute to internal and external documentation, such as "The Navigator’s Guide to DO."
- Build tools to enhance the experience of Premium Support customers and improve platform usability.
- Demonstrate proficiency in DevOps tools like Docker, Terraform, and CI/CD pipelines.
- Leverage expertise in Kubernetes, Managed DBaaS, and the DigitalOcean GenAI Platform.
- Work both independently and collaboratively with a global team of Solutions Architects, Customer Success Managers, and Account Managers.
What We'll Expect From You:
- Proven professional experience with cloud infrastructure, AI/ML platforms, or equivalent education.
- Expertise in AI/ML frameworks (e.g., TensorFlow, PyTorch) and familiarity with platforms like Hugging Face.
- Experience deploying and fine-tuning LLMs (e.g., DeepSeek, Llama, Claude, GPT-4) and GenAI models.
- Deep knowledge of Linux, distributed systems, Kubernetes, NFS, Object Storage, and GPU optimization techniques (e.g., CUDA, TensorRT).
- Hands-on experience leveraging vllm and various quantization methods (e.g., INT4, INT8, and FP8) for efficient model deployment.
- Programming/development experience, particularly in building AI-powered applications (e.g., recommendation systems, chatbots).
- Experience working in a post-sales or technical consultant role with a focus on AI/ML and cloud solutions.
- Knowledge of provisioning, deployment strategies, and tools like Terraform, Kubernetes, and Docker.
- Passionate about customer experience and leveraging AI/ML to solve complex business problems.
- Track record of developing successful technical solutions, including AI/ML use cases, to address customer challenges.
- Ability to balance the demands of multiple stakeholders, define priorities, and set appropriate expectations.
- Strong understanding of AI/ML data pipelines, cloud-native databases, and integration strategies.
- Passionate about technology, open source projects, and applying cutting-edge AI/ML innovations.
- Strong communication skills, with the ability to explain technical AI/ML concepts in clear and concise terms.
- Quickly learn DigitalOcean systems and adapt to rapid changes in cloud and AI/ML trends.
- Fluency in English.
- Highly motivated with a self-starter mentality, ready to tackle AI/ML challenges head-on.
Extra Credit:
- Cloud certifications are highly desirable (AWS/GCP/Oracle/Azure)
- NVIDIA Certifications around GPU and AI/ML
- Networking: Cisco/Juniper Certifications
- Programming/Scripting: Ruby, Python, Go, Bash
- Source Code: Git
- Automation: Terraform, Ansible, Chef, Puppet, Saltstack
- Virtualization: KVM, Xen
- Databases: MongoDB, MySQL, Redis, PostgreSQL
- Open Source: CoreOS, Docker, Kubernetes (CKA/CKE), Vagrant
- DigitalOcean: API, libraries, services
- Linux: RHCSA/RHCE
Compensation Range:
- Base: $150,000 - $182,000 / Target OTE: $200,000 - 240,000
*This is a remote role
JR: 2026-7695
#LI-Remote
Why You’ll Like Working for DigitalOcean
- We innovate with purpose. You’ll be a part of a cutting-edge technology company with an upward trajectory, who are proud to simplify cloud and AI so builders can spend more time creating software that changes the world. As a member of the team, you will be a Shark who thinks big, bold, and scrappy, like an owner with a bias for action and a powerful sense of responsibility for customers, products, employees, and decisions.
- We prioritize career development. At DO, you’ll do the best work of your career. You will work with some of the smartest and most interesting people in the industry. We are a high-performance organization that will always challenge you to think big. Our organizational development team will provide you with resources to ensure you keep growing. We provide employees with reimbursement for relevant conferences, training, and education. All employees have access to LinkedIn Learning's 10,000+ courses to support their continued growth and development.
- We care about your well-being. Regardless of your location, we will provide you with a competitive array of benefits to support you from our Employee Assistance Program to Local Employee Meetups to flexible time off policy, to name a few. While the philosophy around our benefits is the same worldwide, specific benefits may vary based on local regulations and preferences.
- We reward our employees. The salary range for this position is based on market data, relevant years of experience, and skills. You may qualify for a bonus in addition to base salary; bonus amounts are determined based on company and individual performance. We also provide equity compensation to eligible employees, including equity grants upon hire and the option to participate in our Employee Stock Purchase Program.
- DigitalOcean is an equal-opportunity employer. We do not discriminate on the basis of race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service.
Application Limit: You may apply to a maximum of 3 positions within any 180-day period. This policy promotes better role-candidate matching and encourages thoughtful applications where your qualifications align most strongly.
Ready to apply?
Apply to DigitalOcean
Senior Solutions Architect II, AI/ML
Dive in and do the best work of your career at DigitalOcean. Journey alongside a strong community of top talent who are relentless in their drive to build the simplest scalable cloud. If you have a growth mindset, naturally like to think big and bold, and are energized by the fast-paced environment of a true industry disruptor, you’ll find your place here. We value winning together—while learning, having fun, and making a profound difference for the dreamers and builders in the world.
We want people who are passionate about solving complex cloud infrastructure challenges for our customers.
We are looking for a Solutions Architect with expertise in cloud infrastructure to support the success and retention of DigitalOcean's high-value customers. Reporting to the Manager of Solutions Architecture, you will work directly with Customer Success, Sales, and Support functions to retain and grow DigitalOcean’s largest and fastest growing customers. You will be the technical subject matter expert on DigitalOcean’s portfolio, advising on best practices and guiding customers to the optimal solution to meet their business objectives. You will work closely with other functions within DigitalOcean such as Product, Engineering, and Operations to ensure the needs and insights from the local markets are funneled appropriately back into DigitalOcean's products and services.
This is an amazing growth opportunity for a highly motivated individual to establish and expand our presence within the region. Technical depth, excellent communication skills, and a self-starter mentality are needed.
What You Will Be Doing:
As a Senior Solutions Architect II, you will serve as a technical partner to the success and sales teams. You will perform architecture reviews, proof of concepts, demos, uncover customer technical needs, and demonstrate DigitalOcean's value proposition. Working with AEs, GAM and TAM counterparts, you'll help retain large customers and expand their workloads on DigitalOcean.
- Develop deep expertise in the DigitalOcean product portfolio, the evolving cloud landscape, and AI/ML platforms.
- Advocate for customers by providing feedback to product teams, overcoming adoption blockers, and driving new feature development.
- Offer personalized onboarding assistance and guide customers through their cloud journey, resolving technical blockers.
- Design and review architecture tailored to specific business use cases, ensuring optimal solutions for customers.
- Implement and oversee infrastructure management best practices to secure and optimize cloud resources.
- Identify opportunities for cost reduction and performance improvement, helping customers make data-driven cloud optimization decisions.
- Conduct technical consultation sessions, workshops, and training for customers to empower them in managing cloud infrastructure.
- Partner with Growth Account Managers and Customer Success Managers to create success plans that ensure customer retention, expansion, and satisfaction.
- Provide regular presentations articulating product benefits, functionality, and technical solutions.
- Demonstrate strong expertise in AI/ML frameworks like TensorFlow and PyTorch and usage of platforms like Hugging Face, with experience deploying and fine-tuning LLMs and GenAI models.
- Optimize GPU workloads using CUDA or TensorRT and build scalable AI applications like chatbots, inference services or recommendation systems using Kubernetes and NFS.
- Design AI solutions tailored to business needs, manage data pipelines, and integrate databases.
- Liaise with Engineering and Support teams to resolve escalations and growth obstacles in a timely fashion.
- Identify and drive process improvement opportunities and promote technical best practices across the organization.
- Contribute to internal and external documentation, such as "The Navigator’s Guide to DO."
- Build tools to enhance the experience of Premium Support customers and improve platform usability.
- Demonstrate proficiency in DevOps tools like Docker, Terraform, and CI/CD pipelines.
- Leverage expertise in Kubernetes, Managed DBaaS, and the DigitalOcean GenAI Platform.
- Work both independently and collaboratively with a global team of Solutions Architects, Customer Success Managers, and Account Managers.
What We'll Expect From You:
- Proven professional experience with cloud infrastructure, AI/ML platforms, or equivalent education.
- Expertise in AI/ML frameworks (e.g., TensorFlow, PyTorch) and familiarity with platforms like Hugging Face.
- Experience deploying and fine-tuning LLMs (e.g., DeepSeek, Llama, Claude, GPT-4) and GenAI models.
- Deep knowledge of Linux, distributed systems, Kubernetes, NFS, Object Storage, and GPU optimization techniques (e.g., CUDA, TensorRT).
- Hands-on experience leveraging vllm and various quantization methods (e.g., INT4, INT8, and FP8) for efficient model deployment.
- Programming/development experience, particularly in building AI-powered applications (e.g., recommendation systems, chatbots).
- Experience working in a post-sales or technical consultant role with a focus on AI/ML and cloud solutions.
- Knowledge of provisioning, deployment strategies, and tools like Terraform, Kubernetes, and Docker.
- Passionate about customer experience and leveraging AI/ML to solve complex business problems.
- Track record of developing successful technical solutions, including AI/ML use cases, to address customer challenges.
- Ability to balance the demands of multiple stakeholders, define priorities, and set appropriate expectations.
- Strong understanding of AI/ML data pipelines, cloud-native databases, and integration strategies.
- Passionate about technology, open source projects, and applying cutting-edge AI/ML innovations.
- Strong communication skills, with the ability to explain technical AI/ML concepts in clear and concise terms.
- Quickly learn DigitalOcean systems and adapt to rapid changes in cloud and AI/ML trends.
- Fluency in English.
- Highly motivated with a self-starter mentality, ready to tackle AI/ML challenges head-on.
Extra Credit:
- Cloud certifications are highly desirable (AWS/GCP/Oracle/Azure)
- NVIDIA Certifications around GPU and AI/ML
- Networking: Cisco/Juniper Certifications
- Programming/Scripting: Ruby, Python, Go, Bash
- Source Code: Git
- Automation: Terraform, Ansible, Chef, Puppet, Saltstack
- Virtualization: KVM, Xen
- Databases: MongoDB, MySQL, Redis, PostgreSQL
- Open Source: CoreOS, Docker, Kubernetes (CKA/CKE), Vagrant
- DigitalOcean: API, libraries, services
- Linux: RHCSA/RHCE
Compensation Range:
- Base: $150,000 - $182,000 / Target OTE: $200,000 - 240,000
*This is a remote role
JR: 2026-7695
#LI-Remote
Why You’ll Like Working for DigitalOcean
- We innovate with purpose. You’ll be a part of a cutting-edge technology company with an upward trajectory, who are proud to simplify cloud and AI so builders can spend more time creating software that changes the world. As a member of the team, you will be a Shark who thinks big, bold, and scrappy, like an owner with a bias for action and a powerful sense of responsibility for customers, products, employees, and decisions.
- We prioritize career development. At DO, you’ll do the best work of your career. You will work with some of the smartest and most interesting people in the industry. We are a high-performance organization that will always challenge you to think big. Our organizational development team will provide you with resources to ensure you keep growing. We provide employees with reimbursement for relevant conferences, training, and education. All employees have access to LinkedIn Learning's 10,000+ courses to support their continued growth and development.
- We care about your well-being. Regardless of your location, we will provide you with a competitive array of benefits to support you from our Employee Assistance Program to Local Employee Meetups to flexible time off policy, to name a few. While the philosophy around our benefits is the same worldwide, specific benefits may vary based on local regulations and preferences.
- We reward our employees. The salary range for this position is based on market data, relevant years of experience, and skills. You may qualify for a bonus in addition to base salary; bonus amounts are determined based on company and individual performance. We also provide equity compensation to eligible employees, including equity grants upon hire and the option to participate in our Employee Stock Purchase Program.
- DigitalOcean is an equal-opportunity employer. We do not discriminate on the basis of race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service.
Application Limit: You may apply to a maximum of 3 positions within any 180-day period. This policy promotes better role-candidate matching and encourages thoughtful applications where your qualifications align most strongly.
Ready to apply?
Apply to DigitalOcean
Senior Solutions Architect II, AI/ML
Dive in and do the best work of your career at DigitalOcean. Journey alongside a strong community of top talent who are relentless in their drive to build the simplest scalable cloud. If you have a growth mindset, naturally like to think big and bold, and are energized by the fast-paced environment of a true industry disruptor, you’ll find your place here. We value winning together—while learning, having fun, and making a profound difference for the dreamers and builders in the world.
We want people who are passionate about solving complex cloud infrastructure challenges for our customers.
We are looking for a Solutions Architect with expertise in cloud infrastructure to support the success and retention of DigitalOcean's high-value customers. Reporting to the Manager of Solutions Architecture, you will work directly with Customer Success, Sales, and Support functions to retain and grow DigitalOcean’s largest and fastest growing customers. You will be the technical subject matter expert on DigitalOcean’s portfolio, advising on best practices and guiding customers to the optimal solution to meet their business objectives. You will work closely with other functions within DigitalOcean such as Product, Engineering, and Operations to ensure the needs and insights from the local markets are funneled appropriately back into DigitalOcean's products and services.
This is an amazing growth opportunity for a highly motivated individual to establish and expand our presence within the region. Technical depth, excellent communication skills, and a self-starter mentality are needed.
What You Will Be Doing:
As a Senior Solutions Architect II, you will serve as a technical partner to the success and sales teams. You will perform architecture reviews, proof of concepts, demos, uncover customer technical needs, and demonstrate DigitalOcean's value proposition. Working with AEs, GAM and TAM counterparts, you'll help retain large customers and expand their workloads on DigitalOcean.
- Develop deep expertise in the DigitalOcean product portfolio, the evolving cloud landscape, and AI/ML platforms.
- Advocate for customers by providing feedback to product teams, overcoming adoption blockers, and driving new feature development.
- Offer personalized onboarding assistance and guide customers through their cloud journey, resolving technical blockers.
- Design and review architecture tailored to specific business use cases, ensuring optimal solutions for customers.
- Implement and oversee infrastructure management best practices to secure and optimize cloud resources.
- Identify opportunities for cost reduction and performance improvement, helping customers make data-driven cloud optimization decisions.
- Conduct technical consultation sessions, workshops, and training for customers to empower them in managing cloud infrastructure.
- Partner with Growth Account Managers and Customer Success Managers to create success plans that ensure customer retention, expansion, and satisfaction.
- Provide regular presentations articulating product benefits, functionality, and technical solutions.
- Demonstrate strong expertise in AI/ML frameworks like TensorFlow and PyTorch and usage of platforms like Hugging Face, with experience deploying and fine-tuning LLMs and GenAI models.
- Optimize GPU workloads using CUDA or TensorRT and build scalable AI applications like chatbots, inference services or recommendation systems using Kubernetes and NFS.
- Design AI solutions tailored to business needs, manage data pipelines, and integrate databases.
- Liaise with Engineering and Support teams to resolve escalations and growth obstacles in a timely fashion.
- Identify and drive process improvement opportunities and promote technical best practices across the organization.
- Contribute to internal and external documentation, such as "The Navigator’s Guide to DO."
- Build tools to enhance the experience of Premium Support customers and improve platform usability.
- Demonstrate proficiency in DevOps tools like Docker, Terraform, and CI/CD pipelines.
- Leverage expertise in Kubernetes, Managed DBaaS, and the DigitalOcean GenAI Platform.
- Work both independently and collaboratively with a global team of Solutions Architects, Customer Success Managers, and Account Managers.
What We'll Expect From You:
- Proven professional experience with cloud infrastructure, AI/ML platforms, or equivalent education.
- Expertise in AI/ML frameworks (e.g., TensorFlow, PyTorch) and familiarity with platforms like Hugging Face.
- Experience deploying and fine-tuning LLMs (e.g., DeepSeek, Llama, Claude, GPT-4) and GenAI models.
- Deep knowledge of Linux, distributed systems, Kubernetes, NFS, Object Storage, and GPU optimization techniques (e.g., CUDA, TensorRT).
- Hands-on experience leveraging vllm and various quantization methods (e.g., INT4, INT8, and FP8) for efficient model deployment.
- Programming/development experience, particularly in building AI-powered applications (e.g., recommendation systems, chatbots).
- Experience working in a post-sales or technical consultant role with a focus on AI/ML and cloud solutions.
- Knowledge of provisioning, deployment strategies, and tools like Terraform, Kubernetes, and Docker.
- Passionate about customer experience and leveraging AI/ML to solve complex business problems.
- Track record of developing successful technical solutions, including AI/ML use cases, to address customer challenges.
- Ability to balance the demands of multiple stakeholders, define priorities, and set appropriate expectations.
- Strong understanding of AI/ML data pipelines, cloud-native databases, and integration strategies.
- Passionate about technology, open source projects, and applying cutting-edge AI/ML innovations.
- Strong communication skills, with the ability to explain technical AI/ML concepts in clear and concise terms.
- Quickly learn DigitalOcean systems and adapt to rapid changes in cloud and AI/ML trends.
- Fluency in English.
- Highly motivated with a self-starter mentality, ready to tackle AI/ML challenges head-on.
Extra Credit:
- Cloud certifications are highly desirable (AWS/GCP/Oracle/Azure)
- NVIDIA Certifications around GPU and AI/ML
- Networking: Cisco/Juniper Certifications
- Programming/Scripting: Ruby, Python, Go, Bash
- Source Code: Git
- Automation: Terraform, Ansible, Chef, Puppet, Saltstack
- Virtualization: KVM, Xen
- Databases: MongoDB, MySQL, Redis, PostgreSQL
- Open Source: CoreOS, Docker, Kubernetes (CKA/CKE), Vagrant
- DigitalOcean: API, libraries, services
- Linux: RHCSA/RHCE
Compensation Range:
- Base: $150,000 - $182,000 / Target OTE: $200,000 - 240,000
*This is a remote role
JR: 2026-7695
#LI-Remote
Why You’ll Like Working for DigitalOcean
- We innovate with purpose. You’ll be a part of a cutting-edge technology company with an upward trajectory, who are proud to simplify cloud and AI so builders can spend more time creating software that changes the world. As a member of the team, you will be a Shark who thinks big, bold, and scrappy, like an owner with a bias for action and a powerful sense of responsibility for customers, products, employees, and decisions.
- We prioritize career development. At DO, you’ll do the best work of your career. You will work with some of the smartest and most interesting people in the industry. We are a high-performance organization that will always challenge you to think big. Our organizational development team will provide you with resources to ensure you keep growing. We provide employees with reimbursement for relevant conferences, training, and education. All employees have access to LinkedIn Learning's 10,000+ courses to support their continued growth and development.
- We care about your well-being. Regardless of your location, we will provide you with a competitive array of benefits to support you from our Employee Assistance Program to Local Employee Meetups to flexible time off policy, to name a few. While the philosophy around our benefits is the same worldwide, specific benefits may vary based on local regulations and preferences.
- We reward our employees. The salary range for this position is based on market data, relevant years of experience, and skills. You may qualify for a bonus in addition to base salary; bonus amounts are determined based on company and individual performance. We also provide equity compensation to eligible employees, including equity grants upon hire and the option to participate in our Employee Stock Purchase Program.
- DigitalOcean is an equal-opportunity employer. We do not discriminate on the basis of race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service.
Application Limit: You may apply to a maximum of 3 positions within any 180-day period. This policy promotes better role-candidate matching and encourages thoughtful applications where your qualifications align most strongly.
Ready to apply?
Apply to DigitalOcean
Senior Solutions Architect II, Kubernetes
Dive in and do the best work of your career at DigitalOcean. Journey alongside a strong community of top talent who are relentless in their drive to build the simplest scalable cloud. If you have a growth mindset, naturally like to think big and bold, and are energized by the fast-paced environment of a true industry disruptor, you’ll find your place here. We value winning together—while learning, having fun, and making a profound difference for the dreamers and builders in the world.
We want people who are passionate about solving complex cloud infrastructure challenges for our customers.
We are seeking a Solutions Architect II with deep expertise in Kubernetes migrations and cloud infrastructure to drive the success and retention of DigitalOcean’s high-value customers while also acquiring and onboarding net new customers. Reporting to the Manager of Solutions Architecture, you will play a critical role in leading customers through Kubernetes migrations and cloud-native transformations, helping them achieve their business objectives while expanding their use of DigitalOcean’s platform.
In this role, you will partner with Customer Success, Support, and Sales teams to deliver technical excellence that supports the retention and expansion of our largest and fastest-growing customers, as well as onboarding new businesses seeking modern, scalable solutions. As the technical subject matter expert, you will design, implement, and optimize cloud architectures, guide customers on best practices, and deliver solutions tailored to their needs.
Additionally, you will collaborate across functions—Product, Engineering, and Operations—to ensure customer feedback informs the continuous improvement of DigitalOcean’s products and services. Your insights and leadership will be instrumental in building trust with both existing customers and new prospects, showcasing DigitalOcean as their go-to partner for Kubernetes and cloud infrastructure needs.
This role offers an exciting opportunity to combine your technical depth, communication skills, and entrepreneurial mindset to make a significant impact on DigitalOcean’s growth and success.
What You Will Be Doing:
As a Staff Solutions Architect specializing in Kubernetes, you will be a hands-on technical leader responsible for guiding customers through complex Kubernetes migration projects. Leveraging deep expertise in migrations and the Kubernetes ecosystem, you will play a pivotal role in designing, implementing, and optimizing cloud-native solutions for customers. Collaborating closely with customer success teams, engineering, and other stakeholders, your efforts will directly contribute to workload expansion, customer retention, and the adoption of modern cloud practices.
- Lead hands-on Kubernetes migration projects, ensuring seamless transitions of workloads to Kubernetes environments.
- Analyze customers’ existing infrastructure and applications to design robust migration strategies.
- Implement Kubernetes architectures, taking ownership of the technical execution throughout the migration lifecycle.
- Troubleshoot and resolve complex migration challenges, ensuring minimal downtime and optimal performance.
- Deep expertise in Kubernetes, container orchestration, and the cloud-native ecosystem.
- Software engineering experience 7 years+
- Design, plan, and review Kubernetes migration and modernization strategies tailored to specific use cases.
- Build detailed infrastructure diagrams and explain architectural decisions clearly to technical and non-technical audiences.
- Partner with Technical Customer Success Managers and Account Managers to identify customer needs, define success plans, and ensure smooth migrations.
- Conduct hands-on technical workshops, proof of concepts, and demonstrations showcasing Kubernetes migration processes and cloud-native solutions.
- Offer tailored onboarding and migration assistance to guide customers through technical blockers and adoption challenges.
- Act as a trusted advisor, helping customers navigate technical complexities and adopt Kubernetes best practices.
- Collaborate with engineering and support teams to resolve technical escalations during migrations.
- Advocate for customer feedback to inform the development of new Kubernetes-related features and platform enhancements.
What We'll Expect From You:
- Extensive professional experience in cloud infrastructure, Kubernetes, and migration projects, or equivalent education.
- Deep understanding of Kubernetes architecture, container orchestration, and related cloud-native technologies.
- Strong foundational knowledge of Linux, distributed systems, and their application in cloud environments.
- Proven programming and scripting experience to support automation and migration processes.
- Prior experience in a pre-sales, technical consulting, or customer-facing role, with a focus on solving complex technical challenges.
- Passionate about delivering exceptional customer experiences and fostering customer success.
- Demonstrated track record of developing effective technical solutions to address customer business challenges.
- Excellent verbal and written communication skills, with the ability to explain technical concepts clearly to diverse audiences.
- Highly motivated, with a proactive mindset and the ability to work independently and collaboratively.
- Relevant certifications such as Certified Kubernetes Administrator (CKA), Certified Kubernetes Application Developer (CKAD), or Certified Kubernetes Security Specialist (CKS).
- Proficiency in IaC tools like Terraform, Helm, or Ansible, and experience automating complex deployments.
Extra Credit:
- Demonstrated experience contributing to open-source projects, particularly within the Kubernetes ecosystem or related cloud-native technologies.
- Advanced knowledge of cloud providers and tools (e.g., AWS, Azure, Google Cloud Platform) and experience with multi-cloud or hybrid cloud environments.
- Active participation in Kubernetes or cloud-native communities, including meetups, conferences, or forums.
- Experience creating tools, plugins, or frameworks that enhance Kubernetes migrations or operational efficiency.
- Published articles, blogs, or documentation on Kubernetes best practices, migration strategies, or cloud-native solutions.
Compensation Range:
- Base: $150,000 - $182,000 / Target OTE: $200,000 - 240,000
*This is a remote role
JR: 2026-7693
#LI-Remote
Why You’ll Like Working for DigitalOcean
- We innovate with purpose. You’ll be a part of a cutting-edge technology company with an upward trajectory, who are proud to simplify cloud and AI so builders can spend more time creating software that changes the world. As a member of the team, you will be a Shark who thinks big, bold, and scrappy, like an owner with a bias for action and a powerful sense of responsibility for customers, products, employees, and decisions.
- We prioritize career development. At DO, you’ll do the best work of your career. You will work with some of the smartest and most interesting people in the industry. We are a high-performance organization that will always challenge you to think big. Our organizational development team will provide you with resources to ensure you keep growing. We provide employees with reimbursement for relevant conferences, training, and education. All employees have access to LinkedIn Learning's 10,000+ courses to support their continued growth and development.
- We care about your well-being. Regardless of your location, we will provide you with a competitive array of benefits to support you from our Employee Assistance Program to Local Employee Meetups to flexible time off policy, to name a few. While the philosophy around our benefits is the same worldwide, specific benefits may vary based on local regulations and preferences.
- We reward our employees. The salary range for this position is based on market data, relevant years of experience, and skills. You may qualify for a bonus in addition to base salary; bonus amounts are determined based on company and individual performance. We also provide equity compensation to eligible employees, including equity grants upon hire and the option to participate in our Employee Stock Purchase Program.
- DigitalOcean is an equal-opportunity employer. We do not discriminate on the basis of race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service.
Application Limit: You may apply to a maximum of 3 positions within any 180-day period. This policy promotes better role-candidate matching and encourages thoughtful applications where your qualifications align most strongly.
Ready to apply?
Apply to DigitalOcean
Senior Solutions Architect II, Kubernetes
Dive in and do the best work of your career at DigitalOcean. Journey alongside a strong community of top talent who are relentless in their drive to build the simplest scalable cloud. If you have a growth mindset, naturally like to think big and bold, and are energized by the fast-paced environment of a true industry disruptor, you’ll find your place here. We value winning together—while learning, having fun, and making a profound difference for the dreamers and builders in the world.
We want people who are passionate about solving complex cloud infrastructure challenges for our customers.
We are seeking a Solutions Architect II with deep expertise in Kubernetes migrations and cloud infrastructure to drive the success and retention of DigitalOcean’s high-value customers while also acquiring and onboarding net new customers. Reporting to the Manager of Solutions Architecture, you will play a critical role in leading customers through Kubernetes migrations and cloud-native transformations, helping them achieve their business objectives while expanding their use of DigitalOcean’s platform.
In this role, you will partner with Customer Success, Support, and Sales teams to deliver technical excellence that supports the retention and expansion of our largest and fastest-growing customers, as well as onboarding new businesses seeking modern, scalable solutions. As the technical subject matter expert, you will design, implement, and optimize cloud architectures, guide customers on best practices, and deliver solutions tailored to their needs.
Additionally, you will collaborate across functions—Product, Engineering, and Operations—to ensure customer feedback informs the continuous improvement of DigitalOcean’s products and services. Your insights and leadership will be instrumental in building trust with both existing customers and new prospects, showcasing DigitalOcean as their go-to partner for Kubernetes and cloud infrastructure needs.
This role offers an exciting opportunity to combine your technical depth, communication skills, and entrepreneurial mindset to make a significant impact on DigitalOcean’s growth and success.
What You Will Be Doing:
As a Staff Solutions Architect specializing in Kubernetes, you will be a hands-on technical leader responsible for guiding customers through complex Kubernetes migration projects. Leveraging deep expertise in migrations and the Kubernetes ecosystem, you will play a pivotal role in designing, implementing, and optimizing cloud-native solutions for customers. Collaborating closely with customer success teams, engineering, and other stakeholders, your efforts will directly contribute to workload expansion, customer retention, and the adoption of modern cloud practices.
- Lead hands-on Kubernetes migration projects, ensuring seamless transitions of workloads to Kubernetes environments.
- Analyze customers’ existing infrastructure and applications to design robust migration strategies.
- Implement Kubernetes architectures, taking ownership of the technical execution throughout the migration lifecycle.
- Troubleshoot and resolve complex migration challenges, ensuring minimal downtime and optimal performance.
- Deep expertise in Kubernetes, container orchestration, and the cloud-native ecosystem.
- Software engineering experience 7 years+
- Design, plan, and review Kubernetes migration and modernization strategies tailored to specific use cases.
- Build detailed infrastructure diagrams and explain architectural decisions clearly to technical and non-technical audiences.
- Partner with Technical Customer Success Managers and Account Managers to identify customer needs, define success plans, and ensure smooth migrations.
- Conduct hands-on technical workshops, proof of concepts, and demonstrations showcasing Kubernetes migration processes and cloud-native solutions.
- Offer tailored onboarding and migration assistance to guide customers through technical blockers and adoption challenges.
- Act as a trusted advisor, helping customers navigate technical complexities and adopt Kubernetes best practices.
- Collaborate with engineering and support teams to resolve technical escalations during migrations.
- Advocate for customer feedback to inform the development of new Kubernetes-related features and platform enhancements.
What We'll Expect From You:
- Extensive professional experience in cloud infrastructure, Kubernetes, and migration projects, or equivalent education.
- Deep understanding of Kubernetes architecture, container orchestration, and related cloud-native technologies.
- Strong foundational knowledge of Linux, distributed systems, and their application in cloud environments.
- Proven programming and scripting experience to support automation and migration processes.
- Prior experience in a pre-sales, technical consulting, or customer-facing role, with a focus on solving complex technical challenges.
- Passionate about delivering exceptional customer experiences and fostering customer success.
- Demonstrated track record of developing effective technical solutions to address customer business challenges.
- Excellent verbal and written communication skills, with the ability to explain technical concepts clearly to diverse audiences.
- Highly motivated, with a proactive mindset and the ability to work independently and collaboratively.
- Relevant certifications such as Certified Kubernetes Administrator (CKA), Certified Kubernetes Application Developer (CKAD), or Certified Kubernetes Security Specialist (CKS).
- Proficiency in IaC tools like Terraform, Helm, or Ansible, and experience automating complex deployments.
Extra Credit:
- Demonstrated experience contributing to open-source projects, particularly within the Kubernetes ecosystem or related cloud-native technologies.
- Advanced knowledge of cloud providers and tools (e.g., AWS, Azure, Google Cloud Platform) and experience with multi-cloud or hybrid cloud environments.
- Active participation in Kubernetes or cloud-native communities, including meetups, conferences, or forums.
- Experience creating tools, plugins, or frameworks that enhance Kubernetes migrations or operational efficiency.
- Published articles, blogs, or documentation on Kubernetes best practices, migration strategies, or cloud-native solutions.
Compensation Range:
- Base: $150,000 - $182,000 / Target OTE: $200,000 - 240,000
*This is a remote role
JR: 2026-7693
#LI-Remote
Why You’ll Like Working for DigitalOcean
- We innovate with purpose. You’ll be a part of a cutting-edge technology company with an upward trajectory, who are proud to simplify cloud and AI so builders can spend more time creating software that changes the world. As a member of the team, you will be a Shark who thinks big, bold, and scrappy, like an owner with a bias for action and a powerful sense of responsibility for customers, products, employees, and decisions.
- We prioritize career development. At DO, you’ll do the best work of your career. You will work with some of the smartest and most interesting people in the industry. We are a high-performance organization that will always challenge you to think big. Our organizational development team will provide you with resources to ensure you keep growing. We provide employees with reimbursement for relevant conferences, training, and education. All employees have access to LinkedIn Learning's 10,000+ courses to support their continued growth and development.
- We care about your well-being. Regardless of your location, we will provide you with a competitive array of benefits to support you from our Employee Assistance Program to Local Employee Meetups to flexible time off policy, to name a few. While the philosophy around our benefits is the same worldwide, specific benefits may vary based on local regulations and preferences.
- We reward our employees. The salary range for this position is based on market data, relevant years of experience, and skills. You may qualify for a bonus in addition to base salary; bonus amounts are determined based on company and individual performance. We also provide equity compensation to eligible employees, including equity grants upon hire and the option to participate in our Employee Stock Purchase Program.
- DigitalOcean is an equal-opportunity employer. We do not discriminate on the basis of race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service.
Application Limit: You may apply to a maximum of 3 positions within any 180-day period. This policy promotes better role-candidate matching and encourages thoughtful applications where your qualifications align most strongly.
Ready to apply?
Apply to DigitalOcean
Senior Solutions Architect II, Kubernetes
Dive in and do the best work of your career at DigitalOcean. Journey alongside a strong community of top talent who are relentless in their drive to build the simplest scalable cloud. If you have a growth mindset, naturally like to think big and bold, and are energized by the fast-paced environment of a true industry disruptor, you’ll find your place here. We value winning together—while learning, having fun, and making a profound difference for the dreamers and builders in the world.
We want people who are passionate about solving complex cloud infrastructure challenges for our customers.
We are seeking a Solutions Architect II with deep expertise in Kubernetes migrations and cloud infrastructure to drive the success and retention of DigitalOcean’s high-value customers while also acquiring and onboarding net new customers. Reporting to the Manager of Solutions Architecture, you will play a critical role in leading customers through Kubernetes migrations and cloud-native transformations, helping them achieve their business objectives while expanding their use of DigitalOcean’s platform.
In this role, you will partner with Customer Success, Support, and Sales teams to deliver technical excellence that supports the retention and expansion of our largest and fastest-growing customers, as well as onboarding new businesses seeking modern, scalable solutions. As the technical subject matter expert, you will design, implement, and optimize cloud architectures, guide customers on best practices, and deliver solutions tailored to their needs.
Additionally, you will collaborate across functions—Product, Engineering, and Operations—to ensure customer feedback informs the continuous improvement of DigitalOcean’s products and services. Your insights and leadership will be instrumental in building trust with both existing customers and new prospects, showcasing DigitalOcean as their go-to partner for Kubernetes and cloud infrastructure needs.
This role offers an exciting opportunity to combine your technical depth, communication skills, and entrepreneurial mindset to make a significant impact on DigitalOcean’s growth and success.
What You Will Be Doing:
As a Staff Solutions Architect specializing in Kubernetes, you will be a hands-on technical leader responsible for guiding customers through complex Kubernetes migration projects. Leveraging deep expertise in migrations and the Kubernetes ecosystem, you will play a pivotal role in designing, implementing, and optimizing cloud-native solutions for customers. Collaborating closely with customer success teams, engineering, and other stakeholders, your efforts will directly contribute to workload expansion, customer retention, and the adoption of modern cloud practices.
- Lead hands-on Kubernetes migration projects, ensuring seamless transitions of workloads to Kubernetes environments.
- Analyze customers’ existing infrastructure and applications to design robust migration strategies.
- Implement Kubernetes architectures, taking ownership of the technical execution throughout the migration lifecycle.
- Troubleshoot and resolve complex migration challenges, ensuring minimal downtime and optimal performance.
- Deep expertise in Kubernetes, container orchestration, and the cloud-native ecosystem.
- Software engineering experience 7 years+
- Design, plan, and review Kubernetes migration and modernization strategies tailored to specific use cases.
- Build detailed infrastructure diagrams and explain architectural decisions clearly to technical and non-technical audiences.
- Partner with Technical Customer Success Managers and Account Managers to identify customer needs, define success plans, and ensure smooth migrations.
- Conduct hands-on technical workshops, proof of concepts, and demonstrations showcasing Kubernetes migration processes and cloud-native solutions.
- Offer tailored onboarding and migration assistance to guide customers through technical blockers and adoption challenges.
- Act as a trusted advisor, helping customers navigate technical complexities and adopt Kubernetes best practices.
- Collaborate with engineering and support teams to resolve technical escalations during migrations.
- Advocate for customer feedback to inform the development of new Kubernetes-related features and platform enhancements.
What We'll Expect From You:
- Extensive professional experience in cloud infrastructure, Kubernetes, and migration projects, or equivalent education.
- Deep understanding of Kubernetes architecture, container orchestration, and related cloud-native technologies.
- Strong foundational knowledge of Linux, distributed systems, and their application in cloud environments.
- Proven programming and scripting experience to support automation and migration processes.
- Prior experience in a pre-sales, technical consulting, or customer-facing role, with a focus on solving complex technical challenges.
- Passionate about delivering exceptional customer experiences and fostering customer success.
- Demonstrated track record of developing effective technical solutions to address customer business challenges.
- Excellent verbal and written communication skills, with the ability to explain technical concepts clearly to diverse audiences.
- Highly motivated, with a proactive mindset and the ability to work independently and collaboratively.
- Relevant certifications such as Certified Kubernetes Administrator (CKA), Certified Kubernetes Application Developer (CKAD), or Certified Kubernetes Security Specialist (CKS).
- Proficiency in IaC tools like Terraform, Helm, or Ansible, and experience automating complex deployments.
Extra Credit:
- Demonstrated experience contributing to open-source projects, particularly within the Kubernetes ecosystem or related cloud-native technologies.
- Advanced knowledge of cloud providers and tools (e.g., AWS, Azure, Google Cloud Platform) and experience with multi-cloud or hybrid cloud environments.
- Active participation in Kubernetes or cloud-native communities, including meetups, conferences, or forums.
- Experience creating tools, plugins, or frameworks that enhance Kubernetes migrations or operational efficiency.
- Published articles, blogs, or documentation on Kubernetes best practices, migration strategies, or cloud-native solutions.
Compensation Range:
- Base: $150,000 - $182,000 / Target OTE: $200,000 - 240,000
*This is a remote role
JR: 2026-7693
#LI-Remote
Why You’ll Like Working for DigitalOcean
- We innovate with purpose. You’ll be a part of a cutting-edge technology company with an upward trajectory, who are proud to simplify cloud and AI so builders can spend more time creating software that changes the world. As a member of the team, you will be a Shark who thinks big, bold, and scrappy, like an owner with a bias for action and a powerful sense of responsibility for customers, products, employees, and decisions.
- We prioritize career development. At DO, you’ll do the best work of your career. You will work with some of the smartest and most interesting people in the industry. We are a high-performance organization that will always challenge you to think big. Our organizational development team will provide you with resources to ensure you keep growing. We provide employees with reimbursement for relevant conferences, training, and education. All employees have access to LinkedIn Learning's 10,000+ courses to support their continued growth and development.
- We care about your well-being. Regardless of your location, we will provide you with a competitive array of benefits to support you from our Employee Assistance Program to Local Employee Meetups to flexible time off policy, to name a few. While the philosophy around our benefits is the same worldwide, specific benefits may vary based on local regulations and preferences.
- We reward our employees. The salary range for this position is based on market data, relevant years of experience, and skills. You may qualify for a bonus in addition to base salary; bonus amounts are determined based on company and individual performance. We also provide equity compensation to eligible employees, including equity grants upon hire and the option to participate in our Employee Stock Purchase Program.
- DigitalOcean is an equal-opportunity employer. We do not discriminate on the basis of race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service.
Application Limit: You may apply to a maximum of 3 positions within any 180-day period. This policy promotes better role-candidate matching and encourages thoughtful applications where your qualifications align most strongly.
Ready to apply?
Apply to DigitalOcean
Senior Solutions Architect II, Kubernetes
Dive in and do the best work of your career at DigitalOcean. Journey alongside a strong community of top talent who are relentless in their drive to build the simplest scalable cloud. If you have a growth mindset, naturally like to think big and bold, and are energized by the fast-paced environment of a true industry disruptor, you’ll find your place here. We value winning together—while learning, having fun, and making a profound difference for the dreamers and builders in the world.
We want people who are passionate about solving complex cloud infrastructure challenges for our customers.
We are seeking a Solutions Architect II with deep expertise in Kubernetes migrations and cloud infrastructure to drive the success and retention of DigitalOcean’s high-value customers while also acquiring and onboarding net new customers. Reporting to the Manager of Solutions Architecture, you will play a critical role in leading customers through Kubernetes migrations and cloud-native transformations, helping them achieve their business objectives while expanding their use of DigitalOcean’s platform.
In this role, you will partner with Customer Success, Support, and Sales teams to deliver technical excellence that supports the retention and expansion of our largest and fastest-growing customers, as well as onboarding new businesses seeking modern, scalable solutions. As the technical subject matter expert, you will design, implement, and optimize cloud architectures, guide customers on best practices, and deliver solutions tailored to their needs.
Additionally, you will collaborate across functions—Product, Engineering, and Operations—to ensure customer feedback informs the continuous improvement of DigitalOcean’s products and services. Your insights and leadership will be instrumental in building trust with both existing customers and new prospects, showcasing DigitalOcean as their go-to partner for Kubernetes and cloud infrastructure needs.
This role offers an exciting opportunity to combine your technical depth, communication skills, and entrepreneurial mindset to make a significant impact on DigitalOcean’s growth and success.
What You Will Be Doing:
As a Staff Solutions Architect specializing in Kubernetes, you will be a hands-on technical leader responsible for guiding customers through complex Kubernetes migration projects. Leveraging deep expertise in migrations and the Kubernetes ecosystem, you will play a pivotal role in designing, implementing, and optimizing cloud-native solutions for customers. Collaborating closely with customer success teams, engineering, and other stakeholders, your efforts will directly contribute to workload expansion, customer retention, and the adoption of modern cloud practices.
- Lead hands-on Kubernetes migration projects, ensuring seamless transitions of workloads to Kubernetes environments.
- Analyze customers’ existing infrastructure and applications to design robust migration strategies.
- Implement Kubernetes architectures, taking ownership of the technical execution throughout the migration lifecycle.
- Troubleshoot and resolve complex migration challenges, ensuring minimal downtime and optimal performance.
- Deep expertise in Kubernetes, container orchestration, and the cloud-native ecosystem.
- Software engineering experience 7 years+
- Design, plan, and review Kubernetes migration and modernization strategies tailored to specific use cases.
- Build detailed infrastructure diagrams and explain architectural decisions clearly to technical and non-technical audiences.
- Partner with Technical Customer Success Managers and Account Managers to identify customer needs, define success plans, and ensure smooth migrations.
- Conduct hands-on technical workshops, proof of concepts, and demonstrations showcasing Kubernetes migration processes and cloud-native solutions.
- Offer tailored onboarding and migration assistance to guide customers through technical blockers and adoption challenges.
- Act as a trusted advisor, helping customers navigate technical complexities and adopt Kubernetes best practices.
- Collaborate with engineering and support teams to resolve technical escalations during migrations.
- Advocate for customer feedback to inform the development of new Kubernetes-related features and platform enhancements.
What We'll Expect From You:
- Extensive professional experience in cloud infrastructure, Kubernetes, and migration projects, or equivalent education.
- Deep understanding of Kubernetes architecture, container orchestration, and related cloud-native technologies.
- Strong foundational knowledge of Linux, distributed systems, and their application in cloud environments.
- Proven programming and scripting experience to support automation and migration processes.
- Prior experience in a pre-sales, technical consulting, or customer-facing role, with a focus on solving complex technical challenges.
- Passionate about delivering exceptional customer experiences and fostering customer success.
- Demonstrated track record of developing effective technical solutions to address customer business challenges.
- Excellent verbal and written communication skills, with the ability to explain technical concepts clearly to diverse audiences.
- Highly motivated, with a proactive mindset and the ability to work independently and collaboratively.
- Relevant certifications such as Certified Kubernetes Administrator (CKA), Certified Kubernetes Application Developer (CKAD), or Certified Kubernetes Security Specialist (CKS).
- Proficiency in IaC tools like Terraform, Helm, or Ansible, and experience automating complex deployments.
Extra Credit:
- Demonstrated experience contributing to open-source projects, particularly within the Kubernetes ecosystem or related cloud-native technologies.
- Advanced knowledge of cloud providers and tools (e.g., AWS, Azure, Google Cloud Platform) and experience with multi-cloud or hybrid cloud environments.
- Active participation in Kubernetes or cloud-native communities, including meetups, conferences, or forums.
- Experience creating tools, plugins, or frameworks that enhance Kubernetes migrations or operational efficiency.
- Published articles, blogs, or documentation on Kubernetes best practices, migration strategies, or cloud-native solutions.
Compensation Range:
- Base: $150,000 - $182,000 / Target OTE: $200,000 - 240,000
*This is a remote role
JR: 2026-7693
#LI-Remote
Why You’ll Like Working for DigitalOcean
- We innovate with purpose. You’ll be a part of a cutting-edge technology company with an upward trajectory, who are proud to simplify cloud and AI so builders can spend more time creating software that changes the world. As a member of the team, you will be a Shark who thinks big, bold, and scrappy, like an owner with a bias for action and a powerful sense of responsibility for customers, products, employees, and decisions.
- We prioritize career development. At DO, you’ll do the best work of your career. You will work with some of the smartest and most interesting people in the industry. We are a high-performance organization that will always challenge you to think big. Our organizational development team will provide you with resources to ensure you keep growing. We provide employees with reimbursement for relevant conferences, training, and education. All employees have access to LinkedIn Learning's 10,000+ courses to support their continued growth and development.
- We care about your well-being. Regardless of your location, we will provide you with a competitive array of benefits to support you from our Employee Assistance Program to Local Employee Meetups to flexible time off policy, to name a few. While the philosophy around our benefits is the same worldwide, specific benefits may vary based on local regulations and preferences.
- We reward our employees. The salary range for this position is based on market data, relevant years of experience, and skills. You may qualify for a bonus in addition to base salary; bonus amounts are determined based on company and individual performance. We also provide equity compensation to eligible employees, including equity grants upon hire and the option to participate in our Employee Stock Purchase Program.
- DigitalOcean is an equal-opportunity employer. We do not discriminate on the basis of race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service.
Application Limit: You may apply to a maximum of 3 positions within any 180-day period. This policy promotes better role-candidate matching and encourages thoughtful applications where your qualifications align most strongly.
Ready to apply?
Apply to DigitalOcean
Senior Solutions Architect II, Kubernetes
Dive in and do the best work of your career at DigitalOcean. Journey alongside a strong community of top talent who are relentless in their drive to build the simplest scalable cloud. If you have a growth mindset, naturally like to think big and bold, and are energized by the fast-paced environment of a true industry disruptor, you’ll find your place here. We value winning together—while learning, having fun, and making a profound difference for the dreamers and builders in the world.
We want people who are passionate about solving complex cloud infrastructure challenges for our customers.
We are seeking a Solutions Architect II with deep expertise in Kubernetes migrations and cloud infrastructure to drive the success and retention of DigitalOcean’s high-value customers while also acquiring and onboarding net new customers. Reporting to the Manager of Solutions Architecture, you will play a critical role in leading customers through Kubernetes migrations and cloud-native transformations, helping them achieve their business objectives while expanding their use of DigitalOcean’s platform.
In this role, you will partner with Customer Success, Support, and Sales teams to deliver technical excellence that supports the retention and expansion of our largest and fastest-growing customers, as well as onboarding new businesses seeking modern, scalable solutions. As the technical subject matter expert, you will design, implement, and optimize cloud architectures, guide customers on best practices, and deliver solutions tailored to their needs.
Additionally, you will collaborate across functions—Product, Engineering, and Operations—to ensure customer feedback informs the continuous improvement of DigitalOcean’s products and services. Your insights and leadership will be instrumental in building trust with both existing customers and new prospects, showcasing DigitalOcean as their go-to partner for Kubernetes and cloud infrastructure needs.
This role offers an exciting opportunity to combine your technical depth, communication skills, and entrepreneurial mindset to make a significant impact on DigitalOcean’s growth and success.
What You Will Be Doing:
As a Staff Solutions Architect specializing in Kubernetes, you will be a hands-on technical leader responsible for guiding customers through complex Kubernetes migration projects. Leveraging deep expertise in migrations and the Kubernetes ecosystem, you will play a pivotal role in designing, implementing, and optimizing cloud-native solutions for customers. Collaborating closely with customer success teams, engineering, and other stakeholders, your efforts will directly contribute to workload expansion, customer retention, and the adoption of modern cloud practices.
- Lead hands-on Kubernetes migration projects, ensuring seamless transitions of workloads to Kubernetes environments.
- Analyze customers’ existing infrastructure and applications to design robust migration strategies.
- Implement Kubernetes architectures, taking ownership of the technical execution throughout the migration lifecycle.
- Troubleshoot and resolve complex migration challenges, ensuring minimal downtime and optimal performance.
- Deep expertise in Kubernetes, container orchestration, and the cloud-native ecosystem.
- Software engineering experience 7 years+
- Design, plan, and review Kubernetes migration and modernization strategies tailored to specific use cases.
- Build detailed infrastructure diagrams and explain architectural decisions clearly to technical and non-technical audiences.
- Partner with Technical Customer Success Managers and Account Managers to identify customer needs, define success plans, and ensure smooth migrations.
- Conduct hands-on technical workshops, proof of concepts, and demonstrations showcasing Kubernetes migration processes and cloud-native solutions.
- Offer tailored onboarding and migration assistance to guide customers through technical blockers and adoption challenges.
- Act as a trusted advisor, helping customers navigate technical complexities and adopt Kubernetes best practices.
- Collaborate with engineering and support teams to resolve technical escalations during migrations.
- Advocate for customer feedback to inform the development of new Kubernetes-related features and platform enhancements.
What We'll Expect From You:
- Extensive professional experience in cloud infrastructure, Kubernetes, and migration projects, or equivalent education.
- Deep understanding of Kubernetes architecture, container orchestration, and related cloud-native technologies.
- Strong foundational knowledge of Linux, distributed systems, and their application in cloud environments.
- Proven programming and scripting experience to support automation and migration processes.
- Prior experience in a pre-sales, technical consulting, or customer-facing role, with a focus on solving complex technical challenges.
- Passionate about delivering exceptional customer experiences and fostering customer success.
- Demonstrated track record of developing effective technical solutions to address customer business challenges.
- Excellent verbal and written communication skills, with the ability to explain technical concepts clearly to diverse audiences.
- Highly motivated, with a proactive mindset and the ability to work independently and collaboratively.
- Relevant certifications such as Certified Kubernetes Administrator (CKA), Certified Kubernetes Application Developer (CKAD), or Certified Kubernetes Security Specialist (CKS).
- Proficiency in IaC tools like Terraform, Helm, or Ansible, and experience automating complex deployments.
Extra Credit:
- Demonstrated experience contributing to open-source projects, particularly within the Kubernetes ecosystem or related cloud-native technologies.
- Advanced knowledge of cloud providers and tools (e.g., AWS, Azure, Google Cloud Platform) and experience with multi-cloud or hybrid cloud environments.
- Active participation in Kubernetes or cloud-native communities, including meetups, conferences, or forums.
- Experience creating tools, plugins, or frameworks that enhance Kubernetes migrations or operational efficiency.
- Published articles, blogs, or documentation on Kubernetes best practices, migration strategies, or cloud-native solutions.
Compensation Range:
- Base: $150,000 - $182,000 / Target OTE: $200,000 - 240,000
*This is a remote role
JR: 2026-7693
#LI-Remote
Why You’ll Like Working for DigitalOcean
- We innovate with purpose. You’ll be a part of a cutting-edge technology company with an upward trajectory, who are proud to simplify cloud and AI so builders can spend more time creating software that changes the world. As a member of the team, you will be a Shark who thinks big, bold, and scrappy, like an owner with a bias for action and a powerful sense of responsibility for customers, products, employees, and decisions.
- We prioritize career development. At DO, you’ll do the best work of your career. You will work with some of the smartest and most interesting people in the industry. We are a high-performance organization that will always challenge you to think big. Our organizational development team will provide you with resources to ensure you keep growing. We provide employees with reimbursement for relevant conferences, training, and education. All employees have access to LinkedIn Learning's 10,000+ courses to support their continued growth and development.
- We care about your well-being. Regardless of your location, we will provide you with a competitive array of benefits to support you from our Employee Assistance Program to Local Employee Meetups to flexible time off policy, to name a few. While the philosophy around our benefits is the same worldwide, specific benefits may vary based on local regulations and preferences.
- We reward our employees. The salary range for this position is based on market data, relevant years of experience, and skills. You may qualify for a bonus in addition to base salary; bonus amounts are determined based on company and individual performance. We also provide equity compensation to eligible employees, including equity grants upon hire and the option to participate in our Employee Stock Purchase Program.
- DigitalOcean is an equal-opportunity employer. We do not discriminate on the basis of race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service.
Application Limit: You may apply to a maximum of 3 positions within any 180-day period. This policy promotes better role-candidate matching and encourages thoughtful applications where your qualifications align most strongly.
Ready to apply?
Apply to DigitalOcean
Senior Forward Deployed Engineer (AI/ML)
Dive in and do the best work of your career at DigitalOcean. Journey alongside a strong community of top talent who are relentless in their drive to build the simplest scalable cloud. If you have a growth mindset, naturally like to think big and bold, and are energized by the fast-paced environment of a true industry disruptor, you’ll find your place here. We value winning together—while learning, having fun, and making a profound difference for the dreamers and builders in the world.
We are looking for a Senior Forward Deployed Engineer (FDE) 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" 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, GPU optimization agents, and deployment automation scripts (e.g., Terraform/Pulumi) to reduce friction for the broader field organization.
- 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:
- $140,000 - $174,000
*This is a remote role
#LI-Remote
Why You’ll Like Working for DigitalOcean
- We innovate with purpose. You’ll be a part of a cutting-edge technology company with an upward trajectory, who are proud to simplify cloud and AI so builders can spend more time creating software that changes the world. As a member of the team, you will be a Shark who thinks big, bold, and scrappy, like an owner with a bias for action and a powerful sense of responsibility for customers, products, employees, and decisions.
- We prioritize career development. At DO, you’ll do the best work of your career. You will work with some of the smartest and most interesting people in the industry. We are a high-performance organization that will always challenge you to think big. Our organizational development team will provide you with resources to ensure you keep growing. We provide employees with reimbursement for relevant conferences, training, and education. All employees have access to LinkedIn Learning's 10,000+ courses to support their continued growth and development.
- We care about your well-being. Regardless of your location, we will provide you with a competitive array of benefits to support you from our Employee Assistance Program to Local Employee Meetups to flexible time off policy, to name a few. While the philosophy around our benefits is the same worldwide, specific benefits may vary based on local regulations and preferences.
- We reward our employees. The salary range for this position is based on market data, relevant years of experience, and skills. You may qualify for a bonus in addition to base salary; bonus amounts are determined based on company and individual performance. We also provide equity compensation to eligible employees, including equity grants upon hire and the option to participate in our Employee Stock Purchase Program.
- DigitalOcean is an equal-opportunity employer. We do not discriminate on the basis of race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service.
Application Limit: You may apply to a maximum of 3 positions within any 180-day period. This policy promotes better role-candidate matching and encourages thoughtful applications where your qualifications align most strongly.
Ready to apply?
Apply to DigitalOcean
Senior Forward Deployed Engineer (AI/ML)
Dive in and do the best work of your career at DigitalOcean. Journey alongside a strong community of top talent who are relentless in their drive to build the simplest scalable cloud. If you have a growth mindset, naturally like to think big and bold, and are energized by the fast-paced environment of a true industry disruptor, you’ll find your place here. We value winning together—while learning, having fun, and making a profound difference for the dreamers and builders in the world.
We are looking for a Senior Forward Deployed Engineer (FDE) 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" 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, GPU optimization agents, and deployment automation scripts (e.g., Terraform/Pulumi) to reduce friction for the broader field organization.
- 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:
- $140,000 - $174,000
*This is a hybrid role
JR: 2025-7267
#LI-Hybrid
Why You’ll Like Working for DigitalOcean
- We innovate with purpose. You’ll be a part of a cutting-edge technology company with an upward trajectory, who are proud to simplify cloud and AI so builders can spend more time creating software that changes the world. As a member of the team, you will be a Shark who thinks big, bold, and scrappy, like an owner with a bias for action and a powerful sense of responsibility for customers, products, employees, and decisions.
- We prioritize career development. At DO, you’ll do the best work of your career. You will work with some of the smartest and most interesting people in the industry. We are a high-performance organization that will always challenge you to think big. Our organizational development team will provide you with resources to ensure you keep growing. We provide employees with reimbursement for relevant conferences, training, and education. All employees have access to LinkedIn Learning's 10,000+ courses to support their continued growth and development.
- We care about your well-being. Regardless of your location, we will provide you with a competitive array of benefits to support you from our Employee Assistance Program to Local Employee Meetups to flexible time off policy, to name a few. While the philosophy around our benefits is the same worldwide, specific benefits may vary based on local regulations and preferences.
- We reward our employees. The salary range for this position is based on market data, relevant years of experience, and skills. You may qualify for a bonus in addition to base salary; bonus amounts are determined based on company and individual performance. We also provide equity compensation to eligible employees, including equity grants upon hire and the option to participate in our Employee Stock Purchase Program.
- DigitalOcean is an equal-opportunity employer. We do not discriminate on the basis of race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service.
Application Limit: You may apply to a maximum of 3 positions within any 180-day period. This policy promotes better role-candidate matching and encourages thoughtful applications where your qualifications align most strongly.
Ready to apply?
Apply to DigitalOcean