DigitalOcean Logo

DigitalOcean

Senior Full-Stack Engineer II - AI/ML

Posted 24 Days Ago
Be an Early Applicant
In-Office
Denver, CO
184K-231K Annually
Senior level
In-Office
Denver, CO
184K-231K Annually
Senior level
The Senior Full-Stack Engineer will lead technical areas, develop AI application services, maintain APIs, collaborate on design, and ship product features.
The summary above was generated by AI

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. 

Senior Full-Stack Engineer II - AI/MLDo the best work of your career at DigitalOcean. Join a high‐caliber community building the simplest, most scalable cloud on the market. If you think big, move fast, and thrive in a bold, high‐growth environment, you’ll fit right in. We win together—learning, having fun, and delivering real impact for the dreamers and builders we serve.We’re hiring a Senior Full-Stack Engineer to build end‐to‐end features that make accelerated compute simple and accessible for everyone.The AI Application Platform team builds AI and agentic applications across modalities—LLMs, images, audio, and video—on top of DigitalOcean’s high‐performance inference engine. Our mission is to keep the latest state‐of‐the‐art models available at peak performance. We’re moving fast to build the next generation of AI applications and platform workflows at DigitalOcean.

What You’ll Be Doing:
  • Own a technical area by providing technical leadership for a teamDrive large cross-functional projects independently to completion
  • Work primarily in Python, and Go to build and scale AI application services such as ADK, agentic tools
  • Maintain and develop APIs, MCPs and SDKs
  • Collaborate on design and UXBuild and scale products to achieve operational excellenceIndependently ship product features from planning to launch to maintenance with high autonomy
  • Partner with SRE/DevOps on reliability, observability, incident response, and deployment workflows
  • Collaborate with other engineers to find elegant architectures and solutions
What You’ll Add to DigitalOcean:
  • Own a technical area by providing technical leadership for a team
  • Experience with ML platforms, AI techniques (e.g., LLMs, multimodal, large vision models) or with genAI-related concepts (e.g., evaluations, tracing, insights, language modeling, computer vision)
  • Able to make effective trade-offs in regards to both engineering and product requirements, while balancing short term and long term needs
  • 8+ years relevant industry experience in a fast-paced, high growth tech environment building and scaling production-grade systems
  • Demonstrated design and UX sensibilities, especially for technical teamsKnowledge of API standards including REST, Python, or GoDesign of cloud ready systems and architectures.
Compensation Range: 
  • $184,000 - $231,000

*This is a remote role

JR: 2026-7617

#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.

Top Skills

Ai Techniques
APIs
Go
Llms
Mcps
Ml Platforms
Python
Sdks

DigitalOcean Santa Clara, California, USA Office

3979 Freedom Cir, Suite 540, Santa Clara, CA, United States, 95054

Similar Jobs at DigitalOcean

Yesterday
In-Office
166K-208K Annually
Senior level
166K-208K Annually
Senior level
Artificial Intelligence • Cloud • Software • Infrastructure as a Service (IaaS)
As a Staff Security Software Engineer, you will design and deploy security services, prevent abuse, collaborate across teams, and drive security improvements.
Top Skills: AirflowBigQueryDbtDockerElasticsearchGithub ActionsGoGrpcJavaScriptKubernetesLookerPrometheusPythonRedshiftSnowflakeSQL
Yesterday
In-Office
168K-210K Annually
Senior level
168K-210K Annually
Senior level
Artificial Intelligence • Cloud • Software • Infrastructure as a Service (IaaS)
The role involves developing distributed scheduling and optimization services, enhancing system performance through automation, and ensuring reliability of cloud products.
Top Skills: BashGoKubernetesKvmLibvirtLinuxMySQLPython
Yesterday
In-Office
167K-209K Annually
Senior level
167K-209K Annually
Senior level
Artificial Intelligence • Cloud • Software • Infrastructure as a Service (IaaS)
The Senior Software Engineer will lead technical projects, build AI/ML features, improve APIs, and collaborate on design, ensuring efficient operational practices.
Top Skills: AIAPIsGoMlPythonSdks

What you need to know about the San Francisco Tech Scene

San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.

Key Facts About San Francisco Tech

  • Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Google, Apple, Salesforce, Meta
  • Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
  • Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
  • Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account