About Resolve AI
Resolve is building AI that operates as a Production Engineer. It investigates and resolves incidents, and handles operational tasks enhancing system reliability, and making on-call stress-free.
Our founders (Spiros Xanthos and Mayank Agarwal ) are the core creators of OpenTelemetry and led Splunk Observability. They have 2 successful exits to Splunk and VMware.
We raised a $35M Seed round in September of 2024 from Greylock, Unusual Ventures and a group of AI and tech pioneers, including: Paul Daugherty (CTO at Accenture), Jeff Dean (Chief Scientist, Google DeepMind), Thomas Dohmke (CEO, GitHub), Matt Garman (CEO, AWS), Reid Hoffman (Founder, LinkedIn) and Fei Fei Li (Professor, Stanford).
Let’s make machines be on-call for humans, not the other way around.
Systems Engineer
Responsibilities
- Lead or own the design of large subsystems and drive the implementations.
- Follow the best software development practices, and hold the high engineering bar for the team by regularly leading design, code review and test plan reviews.
- Incorporate excellence in reliability, scalability, and performance in the design of distributed systems.
- Participate in on-call rotations, post-incident reviews, and other operational duties to ensure service delivery quality.
- Participate in customer and design partner discussions, develop a deep understanding of customer problems and incorporate those in system design.
Qualifications
- Backend Systems Expertise: Strong skills in building and deploying robust backend and storage services, emphasizing scalability and high performance in high-concurrency environments.
- Cloud & Kubernetes Knowledge: Experienced with cloud platforms (especially AWS) and Kubernetes, with a strong understanding of databases and messaging systems for secure, scalable cloud-native applications.
- Product and Customer Focus: Strong ability and desire to lead the creation and implementation of customer-facing features from start to finish, prioritizing users and owning customer success.
- AI and LLM experience and curiosity: Eager to deepen expertise in AI, with a keen interest and some experience in developing applications powered by Large Language Models (LLM).
- Experience: 4+ years of relevant industry experience with a bachelor’s degree; or 2+ years and a master’s degree.
We are an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, gender, gender identity, sexual orientation, protected veteran status, disability, age, and other characteristics protected by law.
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