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.

• Develop, enhance, and maintain the StarRocks database system, ensuring it meets rigorous performance and reliability standards. • Implement advanced software features and technology enhancements to keep StarRocks at the forefront as a SQL engine for composable lakehouses. • Deliver robust, scalable code that meets the demanding technical requirements of major enterprise clients. • Analyze and address challenges related to fault tolerance, high availability, performance, and scalability. • Collaborate with external contributors from the open-source community to integrate improvements and ensure that our technology remains cutting-edge and comprehensive.

• Drive collaboration with multiple vendors to establish comprehensive estimates, delivery plans, and timelines for projects or programs within an application family. • Ensure the technological integrity and quality of vendor solutions, providing accountability across concurrent projects or programs. • Lead the delivery and technical guidance across an application family, ensuring alignment with strategic initiatives. • Serve as a technical leader for large or complex projects, including: Strategizing to optimize and modernize technology, focusing on technical debt reduction where applicable. • Leading knowledge-sharing efforts to strengthen internal and vendor partner expertise. • Acting as a subject matter expert on intricate components of the application environment. • Partner with architects to influence strategic decisions on the use, retirement, or addition of technology within the enterprise architecture. • Provide high-level technical expertise to projects involving multiple complex technology components. • Establish and promote the best practices, reusable components, and guidelines to optimize technology usage. • Lead incident response and problem resolution for critical production issues, ensuring thorough root cause analysis and long-term solutions. • Take on special projects or initiatives as assigned, often with organization-wide visibility and impact.

• Own prompt engineering and Claude API management, including versioning, testing, and optimization of agentic workflows used across the business. • Build, manage, and continuously improve n8n-based automation workflows that connect GTM systems, trigger alerts, sync data, and eliminate manual handoffs across the revenue organization. • Build and maintain REST API integrations and webhook-based automations that connect to Omilia’s tech stack. • Define and enforce data schema standards across the GTM stack, ensuring consistency, accuracy, and auditability across all systems. • Evaluate emerging AI tools and APIs; recommend and implement where they can deliver outsized ROI versus custom builds. • Continuously monitor and evaluate the latest developments in AI, LLMs, agentic frameworks, and automation tooling — translating emerging capabilities into concrete opportunities for Omilia's GTM and RevOps functions. • Serve as Omilia's internal AI radar: proactively surface new models, tools, and workflows that could accelerate seller productivity, improve data quality, or reduce operational overhead. • Run structured experiments and rapid prototypes to test new AI capabilities, document findings, and present business cases to leadership for adoption or scale. • Maintain a working knowledge of the competitive AI landscape, including key vendors, open-source frameworks, and industry benchmarks relevant to our GTM stack. • Propose, test, refine and scale new use cases for AI in marketing programs and operations. • Build, assist, and help maintain Claude-powered content workflows for campaigns, outbound sequences, sales one-pagers, and competitive battlecards. • Build AI-powered tools that dramatically increase seller productivity, including auto-research briefs, AI-drafted proposals, and intelligent follow-up cadence automation. • Develop a custom AI call intelligence layer to replace Gong.io, including call transcription, summary generation, coaching insights, and CRM sync. • Partner with Sales Enablement to automate and enhance onboarding resources, training content, and knowledge management systems. • Act as a strategic collaborator across Marketing, Sales, Revenue Operations, Finance, and Customer Success — identifying friction points, designing AI-powered solutions, and driving adoption across teams. • Work alongside Sales leadership to understand rep workflows, surface productivity bottlenecks, and deploy tools that reduce administrative burden and increase time spent selling. • Collaborate with Revenue Operations to ensure all automation, reporting, and AI tooling aligns with the company's data standards, forecasting models, and revenue targets. • Facilitate regular cross-functional syncs and demos to share progress, gather feedback, and maintain alignment on the AI roadmap across all stakeholder teams.