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.
The Copilots Engineering team is responsible for developing and maintaining Machine Learning and AI solutions leveraging our Gradient Platform. This team is responsible for innovating in this new area to bring new AI based solutions to cloud infrastructure operations. Continuing with our mission of DO simplicity our customers look to DO for innovation to improve infrastructure engineering, workload performance, and system reliability while lowering costs. Thus, building automations through DO’s Gradient Platform is imperative to keep our customers focused on developing their business.
We are seeking highly motivated and skilled engineers in US locations: Austin, Boston, Denver, San Francisco Bay Area, and Seattle. You will play a critical role to ensure product experiences at all stages of the developers' journeys enable a DO-simple method to scale their business. You will join a team providing smooth operation of the AI solutions, providing technical support, managing operations, and driving efficiency through automation. This is an exciting opportunity to be a part of building a new team, developing in the new fast paced AI market, and making a significant impact on our company's growth.
What You’ll Be Doing:- Develop gRPC APIs written in Go Lang to deliver solutions to target customer’s Jobs To Be Done (JTBD).
- Collaborate with the team to define OKRs, driven by our product strategy, and develop roadmap items to successfully deliver on Key Results.
- Contribute to authoring of technical documents to deliver on feature development.
- Developing and improving AI Agent performance, correctness, and knowledge bases.
- Maintain and contribute to operational excellence and the stability of the platform.
- Contribute to quality assurance tooling and synthetic testing to proactively identify and address potential customer impacting issues.
- Collaborate with product teams on existing and new product launches to enable seamless integrations of services.
- Contribute to the documentation of processes, and customer instructions.
- Strong technical aptitude and problem-solving skills.
- Proficiency in Go to develop gRPC and REST APIs.
- Hands-on knowledge of microservices and distributed systems, including technologies like Docker, Kubernetes, Kafka, MySQL, and Redis.
- Experience utilizing Large Language Models (LLMs) to develop agentic solutions.
- Strong interest in direct collaboration with customers to define their key Jobs To Be Done, and translate into features.
- Excellent communication and collaboration skills in written and spoken forms.
- Author technical documents in architecture and task definition.
- Ability to work independently and manage multiple priorities in a fast-paced environment.
- A proactive and detail-oriented approach.
- $136,992 - $171,240
*This is a remote role
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- 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.
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DigitalOcean Santa Clara, California, USA Office
3979 Freedom Cir, Suite 540, Santa Clara, CA, United States, 95054
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