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 & retention of DigitalOcean's high-value customers. Reporting to the Manager of Solutions Architecture, you will work directly with Customer Success, Sales, & Support functions to retain & grow DigitalOceans largest & fastest growing customers. You will be the technical subject matter expert on DigitalOceans portfolio, advising on best practices & guiding customers to the optimal solution to meet their business objectives. You will work closely with other functions within DigitalOcean such as Product, Engineering, & Operations to ensure the needs & insights from the local markets are funneled appropriately back into DigitalOcean's products & services.
This is an amazing growth opportunity for a highly motivated individual to establish & expand our presence within the region. Technical depth, excellent communication skills, & a self-starter mentality are needed.
What You Will Be Doing:
As a Senior Solutions Architect, you will serve as a technical partner to the success & sales teams. You will perform architecture reviews, proof of concepts, demos, uncover customer technical needs, & demonstrate DigitalOcean's value proposition. Working with your GAM & TAM counterparts, you'll help retain large customers & expand their workloads on DigitalOcean.
- Develop deep expertise in the DigitalOcean product portfolio, the evolving cloud landscape, & AI/ML platforms.
- Advocate for customers by providing feedback to product teams, overcoming adoption blockers, & driving new feature development.
- Offer personalized onboarding assistance & guide customers through their cloud journey, resolving technical blockers.
- Design & review architecture tailored to specific business use cases, ensuring optimal solutions for customers.
- Implement & oversee infrastructure management best practices to secure & optimize cloud resources.
- Identify opportunities for cost reduction & performance improvement, helping customers make data-driven cloud optimization decisions.
- Conduct technical consultation sessions, workshops, & training for customers to empower them in managing cloud infrastructure.
- Partner with Growth Account Managers & Customer Success Managers to create success plans that ensure customer retention, expansion, & satisfaction.
- Provide regular presentations articulating product benefits, functionality, & technical solutions.
- Demonstrate strong expertise in AI/ML frameworks like TensorFlow, PyTorch, & Hugging Face, with experience deploying & fine-tuning LLMs & GenAI models.
- Optimize GPU workloads using CUDA, TensorRT, or Kubernetes, & build scalable AI applications like chatbots or recommendation systems.
- Design AI solutions tailored to business needs, manage data pipelines, & integrate databases.
- Liaise with Engineering & Support teams to resolve escalations & growth obstacles in a timely fashion.
- Identify & drive process improvement opportunities & promote technical best practices across the organization.
- Contribute to internal & external documentation, such as "The Navigators Guide to DO."
- Build tools to enhance the experience of Premium Support customers & improve platform usability.
- Demonstrate proficiency in DevOps tools like Docker, Terraform, & CI/CD pipelines.
- Leverage expertise in Kubernetes, Managed DBaaS, & the DigitalOcean GenAI Platform.
- Work both independently & collaboratively with a global team of Solutions Architects, Customer Success Managers, & 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, or Hugging Face) & experience deploying & fine-tuning LLMs & GenAI models.
- Deep knowledge of Linux, distributed systems, & GPU optimization techniques (e.g., CUDA, TensorRT, or Kubernetes).
- 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 & cloud solutions.
- Knowledge of provisioning, deployment strategies, & tools like Terraform, Kubernetes, & Docker.
- Passionate about customer experience & 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, & set appropriate expectations.
- Strong understanding of AI/ML data pipelines, cloud-native databases, & integration strategies.
- Passionate about technology, open source projects, & applying cutting-edge AI/ML innovations.
- Strong communication skills, with the ability to explain technical AI/ML concepts in clear & concise terms.
- Quickly learn DigitalOcean systems & adapt to rapid changes in cloud & 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 & 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
Why Youll Like Working for DigitalOcean
- We innovate with purpose. Youll be a part of a cutting-edge technology company with an upward trajectory, who are proud to simplify cloud & 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, & scrappy, like an owner with a bias for action & a powerful sense of responsibility for customers, products, employees, & decisions.
- We prioritize career development. At DO, youll do the best work of your career. You will work with some of the smartest & 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, & education. All employees have access to LinkedIn Learning's 10,000+ courses to support their continued growth & 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 & preferences.
- We reward our employees. The salary range for this position is $119,900 - $179,850 based on market data, relevant years of experience, & skills. You may qualify for a bonus in addition to base salary; bonus amounts are determined based on company & individual performance. We also provide equity compensation to eligible employees, including equity grants upon hire & the option to participate in our Employee Stock Purchase Program.
- We value diversity & inclusion. We are an equal-opportunity employer, & recognize that diversity of thought & background builds stronger teams & products to serve our customers. We approach diversity & inclusion seriously & thoughtfully. 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.
*This a remote role from any location in the US
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