Full-Stack Engineer

The Senior Full-Stack Engineer will lead technical areas, develop AI application services, maintain APIs, collaborate on design, and ship product features., 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, Ai Techniques APIs Go Llms Mcps Ml Platforms Python Sdks HQ, Lead vision, strategy, and execution for DigitalOcean Kubernetes (DOKS). Build roadmaps focused on scalability, performance, security, and developer experience. Engage customers, create product features, evangelize the product, coordinate cross-functional teams, support launches, develop business cases, and drive data-driven improvements. Top Skills: Ai InfrastructureBilling MetersDevOpsDigitalocean Kubernetes (Doks)DockerFinancial ModelingGpu InfrastructureKubernetesMicroservicesP&L Analysis, DigitalOcean, The Senior Engineer 2 will optimize AI inference performance, solve complex computational issues, mentor team members, and collaborate with product management. Responsibilities include performance architecture, deep-dive optimization, and community leadership., The Senior Engineer 2 will lead the design and development of high-scale data plane services for AI inference, optimizing performance and mentoring junior engineers while ensuring system reliability and operational excellence. Top Skills: AIDatabasesDistributed SystemsGoGrpcInference EnginesInfrastructure As CodeLlm ArchitecturesMessaging SystemsMicroservicesMlNvlinkPythonRoceXgmi

What you need to know about the Colorado Tech Scene

With a business-friendly climate and research universities like CU Boulder and Colorado State, Colorado has made a name for itself as a startup ecosystem. The state boasts a skilled workforce and high quality of life thanks to its affordable housing, vibrant cultural scene and unparalleled opportunities for outdoor recreation. Colorado is also home to the National Renewable Energy Laboratory, helping cement its status as a hub for renewable energy innovation.

Key Facts About Colorado Tech

• Number of Tech Workers: 260,000; 8.5% of overall workforce (2024 CompTIA survey)
• Major Tech Employers: Lockheed Martin, Century Link, Comcast, BAE Systems, Level 3
• Key Industries: Software, artificial intelligence, aerospace, e-commerce, fintech, healthtech
• Funding Landscape: $4.9 billion in VC funding in 2024 (Pitchbook)
• Notable Investors: Access Venture Partners, Ridgeline Ventures, Techstars, Blackhorn Ventures
• Research Centers and Universities: Colorado School of Mines, University of Colorado Boulder, University of Denver, Colorado State University, Mesa Laboratory, Space Science Institute, National Center for Atmospheric Research, National Renewable Energy Laboratory, Gottlieb Institute

• 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., * 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.

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.