Senior Software Engineer – Agents

🕒 August 21

🇺🇸 United States – Remote

💵 $180k - $220k / year

⏰ Full Time

🟠 Senior

🧑‍💻 Full-stack Engineer

👻 Ghost score 8%

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Logo of Nebulock

Nebulock

11 - 50 employees

📋 Compliance

📣 Marketing

💰 $6M Seed on 2025-08

Compliance • Marketing

Nebulock is presented primarily through a website that implements a cookie-consent notice and extensive front-end styling (CSS) including Webflow-specific resets and utilities. The visible site content focuses on storing cookies to collect analytics and remembering visitor cookie-preference choices, indicating the company operates a web presence that manages visitor tracking, analytics/metrics, and cookie consent behavior. From the provided material it appears Nebulock’s public-facing functionality is centered on web cookie/consent handling and site analytics rather than any specific product details or other verticals.

📋 Description

• Work on the agent infrastructure and platforms upon which Nebulock's agents are built • Build and maintain the agents that power Nebulock's agentic threat hunting platform • Co-own the TRACE Graph and other knowledge stores • Ensure agents continuously adapt to feedback and learn • Collaborate closely with detection engineers and threat hunters to encode domain expertise into agents • Continuously iterate, evaluate, and collaborate cross-functionally to ensure agents behave like expert detection engineers and threat hunters • Design, build, and maintain scalable data structures optimized for agents, including the TRACE graph, embeddings, and semantic search • Ensure agents behave safely and as expected • Build and maintain automated evaluations and benchmarks to enable rapid iteration without regressions • Provide feedback and guidance to other engineers working on agents • Work on additional backend systems as needed

🎯 Requirements

• 4+ years software engineering experience • 1+ years building customer-facing agentic systems in production • Strong backend software engineering fundamentals • Proficiency in Python, Java, Go, Rust, or similar • Strong understanding of agentic architectures and their tradeoffs • Experience designing, building, and evaluating production RAG systems • Strong experience with agent evals and agent observability • Experience with either AWS or GCP • Ability to adapt, iterate, and ship quickly • Hunger for growth and the desire to work in a low-ego environment • Able to stay up to date with the newest advancements in the LLM and agent space while maintaining a relentless focus on delivering customer value • Cybersecurity experience • Startup experience • Experience with graph databases • Experience evaluating the performances of different LLMs

🏖️ Benefits

• Health, dental, and vision coverage • Unlimited PTO • Remote working flexibility • Life Insurance • 401k • Equity

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