--- title: 'Senior Software Engineer II, Agentic AI at DigitalOcean' canonical: 'https://feeny.ai/job/senior-software-engineer-ii-agentic-ai-digitalocean-seattle-zeafnxnnkdkn' type: 'job' last_seen: '2026-10-27' --- # Senior Software Engineer II, Agentic AI at DigitalOcean - **Company:** DigitalOcean - **Location:** Seattle, WA - **Posted:** 2026-10-21 - **Last confirmed live:** 2026-10-27 - **Apply:** https://www.digitalocean.com/careers/position/apply/?gh_jid=7987690 ## Job description 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. DigitalOcean is building the infrastructure that enables developers to build, run, and scale AI-powered applications and autonomous coding agents. As a Senior Software Engineer on the MARS (Managed Agent Runtime Services) team, you will help build a production-grade platform for running coding agents and agentic workflows securely, reliably, and at scale. You will design and implement core components of our managed agent runtime, including agent framework integrations, execution environments, control-plane APIs, event-driven infrastructure, and developer-facing APIs and tools. You will work across distributed systems, cloud infrastructure, and emerging agentic AI technologies to make it easy for developers to build sophisticated agents without having to manage the underlying infrastructure. We are looking for a strong engineer who combines deep software engineering fundamentals with pragmatic architectural judgment, end-to-end ownership, and a passion for simplifying complex technology for developers. ## What You’ll Do - Build the managed agent platform: Design, implement, and operate core services for provisioning, executing, managing, and monitoring AI coding agents and agentic workloads. - Develop agent framework integrations: Build and maintain integrations with frameworks and runtimes such as OpenAI Codex, Claude Code, CrewAI, and LangGraph, as appropriate to the product roadmap. - Design distributed systems: Develop scalable, fault-tolerant services and APIs for agent sessions, lifecycle management, execution orchestration, and asynchronous event processing. - Build secure execution environments: Collaborate on sandbox and microVM-based execution, isolation, resource limits, secrets management, network controls, and secure interactions between agents and external services. - Enable developer workflows: Build APIs, CLI integrations, SDK-compatible interfaces, and reusable examples that help developers integrate agents, tools, triggers, and external systems into their applications. - Improve observability and reliability: Instrument services and agent executions with logs, metrics, traces, and actionable events. Drive improvements in debugging, incident response, performance, and service-level objectives. - Own features end to end: Translate product requirements into technical designs, implementation plans, tests, production rollouts, and operational support. - Drive technical excellence: Lead design discussions, conduct thoughtful code reviews, improve engineering practices, and proactively address technical debt and operational risks. - Collaborate across teams: Partner with product management, infrastructure, security, inference, and developer experience teams to deliver cohesive customer experiences. - Explore emerging agent capabilities: Evaluate and prototype agent orchestration, multi-agent workflows, tool execution, human-in-the-loop controls, and usage policies, turning promising ideas into production-ready capabilities. ## What You’ll Bring to DigitalOcean - Distributed Systems Mastery: 8+ years of professional software engineering experience working on microservices, messaging systems, databases, and infrastructure as code, with a heavy emphasis on building large-scale SaaS or PaaS products using Go or similar backend languages. - AI/ML Domain Knowledge: Hands-on experience integrating with LLMs or multimodal models, creating, managing & operating Agentic workloads for high scale customers - managing complex multi-day agent session lifecycles, pause/resume transitions, fan-out live agent token streams from agents directly to developer CLI and Web UI clients using Kafka, SSE, sub-second responsiveness for inline Human-in-the-Loop (HITL) approvals and state transitions are constructs you have already built or have a working knowledge of. - API & Proxy Expertise: Proven experience building high-throughput REST/gRPC APIs, custom reverse proxies, or network routers handling concurrent connection scaling. - Orchestration & State Management: Practical experience with cluster schedulers (Kubernetes, Nomad), service meshes, or distributed key-value stores (Redis, Consul, Etcd) for real-time state tracking. - Data Layer Architecture: Strong experience modeling application state in relational dbs like PostgreSQL or MySQL and designing high-volume telemetry ingestion pipelines using data stores like Snowflake, ClickHouse etc. - Product-First Mindset: Experience building products designed for other developers (APIs, SDKs, Cloud Consoles) with a deep empathy for developer workflows and latency constraints. - Cloud Operations: Proven experience shipping customer-facing software products and running critical services in a high-scale environment similar to DigitalOcean. - Preferred Attributes: Familiarity with the unique orchestration challenges of Agentic AI, LLM frameworks (LangGraph, OpenAI Agents SDK, CrewAI), Model Context Protocol (MCP), or Human-in-the-Loop (HITL) primitives. Compensation Range: - $167,000 - $209,000 *This is a hybrid role JR: 2026-7985 #LI-Hybrid ## Why You’ll Like Working for DigitalOcean - We innovate with purpose. You’ll be a part of a cutting-edge technology company with a high-growth trajectory, who are proud to simplify cloud and AI so builders can spend more time creating software that changes the world. As part of our team, you’ll embody our "Shark" mindset: bold, ambitious, and scrappy. You'll lead with a bias for action and take true ownership of our products, customer success, and team culture. - We prioritize career development. At DigitalOcean, you’ll do the best work of your career. You will join a community of exceptional talent, collaborating closely with some of the brightest and most interesting people in the industry. We are a high-performance and fast-paced organization that will always challenge you to think big. Our talent development team prioritizes your professional development and provides resources to support your growth. We provide employees with reimbursement for relevant conferences, training, and education, subject to company policy. - We care about your well-being. We take a comprehensive approach to our total rewards packages because we know different things drive different people. Our benefits are designed to support you and may include flexible time off, local team meetups, and mental health and well being support. Our benefits philosophy is consistent globally, but specific benefits and eligibility vary by location to reflect local needs and regulations. - We reward our employees. The salary range for this position is based on market data, relevant years of experience, and skills. Eligible employees may also receive equity compensation, which may include a new hire equity grant and, in participating countries, the opportunity to participate in our Employee Stock Purchase Program. Equity awards are subject to approval and the terms of the applicable plan. - Non-sales roles: In addition to base salary, this role is eligible to participate in DigitalOcean’s annual bonus plan and may be eligible for a new hire equity grant, subject to plan terms and local eligibility. Bonus amounts depend on company and individual performance. - Sales roles (sales compensation eligible): In addition to base salary, this role may be eligible to earn incentive compensation under the applicable sales compensation plan and may be eligible for a new hire equity grant, subject to plan terms and local eligibility. - DigitalOcean is an equal-opportunity employer. We do not discriminate on the basis of race, sex, disability, protected veteran status, or any other characteristic protected by applicable law. 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. ## About DigitalOcean ## Company Overview - **One-liner**: DigitalOcean provides a simple, scalable cloud platform for developers, startups, and SMBs, and is now building an AI-native cloud with inference and managed agent services. - **Entity Type**: Public (NYSE: DOCN) - **Headquarters**: New York, NY, USA - **Founded**: 2012 - **Founders**: Ben Uretsky, Moisey Uretsky, Jeff Carr, Alec Hartman, Mitch Wainer ## Core Business - **Primary industry**: Cloud computing, AI infrastructure - **Target customers**: Developers (B2B), startups, and small-to-medium businesses (Digital Native Enterprises) - **Mission**: “Simplify cloud and AI so builders can spend more time creating software that changes the world.” [digitalocean.com/about](https://www.digitalocean.com/about) ## Products & Services - **Droplet**: Simple, scalable virtual machines for any workload. - **Managed Kubernetes**: Container orchestration with easy management. - **App Platform**: Fully managed platform for building, deploying, and scaling apps. - **Inference Engine**: AI inference service offering over 70 models (open-weight and frontier), with serverless, dedicated, or batch inference and an Inference Router for cost optimization. [digitalocean.com](https://www.digitalocean.com/) - **Managed Agents**: Production-ready AI agents that run on the same integrated stack as inference and infrastructure, avoiding cross-vendor hops and egress fees. - **Core Infrastructure**: 20 data centers across 11 regions, air- and liquid-cooled GPU clusters (NVIDIA H100/H200/Blackwell, AMD Instinct MI300X/MI325X/MI350X) with 400G RoCE fabric. ## Market Standing - **Valuation/Market Cap**: Not publicly available in provided sources (public company; check NYSE: DOCN) - **Key Metric**: Over 640,000 customers globally; more than 1,500 employees (as of early 2026). [digitalocean.com/blog/why-2026-is-the-year-to-join-digitalocean](https://www.digitalocean.com/blog/why-2026-is-the-year-to-join-digitalocean) - **Notable Investors/Partners**: As a public company, its shareholders include institutional investors. No specific partners listed in recent company materials. - **Growth Signals**: Rapid headcount growth (1,500+ employees), strong customer base expansion (640k+), and a strategic pivot to an “agentic cloud” with new AI products in public preview. ## Competitive Advantages - **Simplicity**: Known for developer-friendly interfaces and documentation that reduce complexity compared to larger cloud providers. - **Integrated AI Stack**: Covers five layers (infrastructure, inference, agents, etc.) in one platform, eliminating cross-vendor integration costs and egress fees. - **Cost-Effectiveness**: Transparent pricing and competitive latency (e.g., 3.9× higher output speed vs. AWS Bedrock, independently benchmarked on DeepSeek V3.2). [digitalocean.com](https://www.digitalocean.com/) - **Community**: Strong open-source and developer community contributions. ## Strategic Focus - Building the “comprehensive agentic cloud” – a fully integrated stack for AI-powered applications. - Expanding inference and managed agent capabilities to attract digital native enterprises. - Investing in GPU infrastructure (NVIDIA and AMD) and global data center expansion. ## Why Work Here - **Work Model**: Offers fully remote, hybrid (three days in office), and in-office options depending on role and location. Offices in the US (Austin, Boston, Denver, SF Bay Area, Seattle), India (Hyderabad), and Pakistan (Karachi). [digitalocean.com/careers](https://www.digitalocean.com/careers) - **Culture**: Values are Fast, Simple, Bold, Proud, Love, Community, and Growth. Emphasis on ownership, bias for action, and thinking big. - **Compensation**: Competitive base salaries at market midpoint, annual bonus targets, performance equity grants, and an Employee Stock Purchase Plan (ESPP). - **Benefits**: Generous wellness benefits, flexible PTO, above-average parental leave, health insurance (medical, dental, vision, mental health), 401(k) with safe harbor match, life insurance, and income protection. - **Professional Development**: Unlimited access to LinkedIn Learning, education reimbursement for courses/certifications, book program, conference attendance, and internal learning opportunities. - **Interview Process**: Human resume review (no bots), recruiter video call, hiring manager interview, then team interviews. Accommodations available. [digitalocean.com/careers](https://www.digitalocean.com/careers) - **Perks**: Monthly internet/phone stipend, wellness stipend, home office setup allowance, milestone and anniversary gift programs, employee giving match via Groundswell. ## Sources 1. [DigitalOcean Careers Page](https://www.digitalocean.com/careers) 2. [DigitalOcean About Page](https://www.digitalocean.com/about) 3. [DigitalOcean Product (AI-Native Cloud)](https://www.digitalocean.com/) 4. [Why 2026 is the Year to Join DigitalOcean](https://www.digitalocean.com/blog/why-2026-is-the-year-to-join-digitalocean) 5. 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