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 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.
- 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
- Base: $150,000 - $182,000 / Target OTE: $200,000 - 240,000
*This is a remote role
JR: 2026-7693
#LI-Remote
- 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.
Skills Required
- 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
- 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
- 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
DigitalOcean Compensation & Benefits Highlights
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Healthcare Strength — Health coverage includes medical, dental, vision, and mental-health support plus employer-paid life/AD&D/disability, with multiple plan options and above-average employer contributions. Offerings are described as market-leading and in some cases fully paid to keep premiums low.
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Equity Value & Accessibility — Equity awards (new-hire and performance RSUs) are paired with an Employee Stock Purchase Plan offered at a discount. This ownership component augments cash compensation and broadens participation in company growth.
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Parental & Family Support — Paid parental leave is provided for a defined period and includes a structured, part-time transition-back program. The approach emphasizes a smoother return-to-work experience for new parents.
DigitalOcean Insights
What We Do
DigitalOcean is the Inference Cloud — a full-stack, production-ready cloud platform built to run AI applications with predictable performance, sustainable economics, and radically simpler operations at scale. We are built for teams turning AI into real products — not just training models. Our advantage is not fewer features, but fewer failure modes when operating AI at scale — combining minimal operational overhead, predictable cost efficiency, and a full-stack cloud that works as a system. Hyperscalers are broad by design. Neoclouds are infrastructure-first. DigitalOcean is inference-first — with a real cloud underneath. It combines inference-optimized compute, managed inference software, and integrated cloud capabilities that reduce operational burden for teams running real workloads. Inference is the foundation—not the boundary. Everything else builds on top of it.
Why Work With Us
At DO, we do career-defining work. We innovate with AI and build cutting-edge tech. Our rewards to match that intensity - to motivate you, recognize your impact, and give you what you need to thrive. If you have a growth mindset, like to think big and bold, and are energized by the fast-paced environment, you'll find your place here.
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DigitalOcean Offices
Remote Workspace
Employees work remotely.
We commit to both remote work and in-person collaboration. These ways of working are dependent on specific roles and are mutually agreed upon by employees. In the US, we are mainly remote. In our APAC locations, we have a hybrid in-office approach.
