{"id":2406197,"url":"https://alion.io/job/cyberhaven-staff-software-engineer-cloud-api","title":"Staff Software Engineer (Cloud API)","company":{"id":177788,"name":"Cyberhaven","domain":"cyberhaven.com","url":"https://alion.io/company/cyberhaven","size_band":"11-50","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Ashby","truth_index":{"grade":"B","score":75,"open_postings":3,"ghost_share":0,"stale_share":1,"repost_share":0,"time_to_fill_p50_days":34,"computed_at":"2026-10-13T05:45:00Z"}},"role":"Backend","role_family":"Backend","seniority":"staff","employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["San Francisco, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":220000,"max":260000,"currency":"USD","period":"year","gross":null,"usd_annual":260000},"salary_estimate":null,"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"Amazon Neptune","optional":false},{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"BigQuery","optional":false},{"name":"Docker","optional":false},{"name":"Function Calling","optional":false},{"name":"GCP","optional":false},{"name":"Google BigQuery","optional":false},{"name":"Google Bigtable","optional":false},{"name":"Google Cloud Spanner","optional":false},{"name":"Java","optional":false},{"name":"Kubernetes","optional":false},{"name":"Model Context Protocol","optional":false},{"name":"Neo4j","optional":false},{"name":"Python","optional":false},{"name":"Redis","optional":false},{"name":"Rust","optional":false},{"name":"Tool Use","optional":false},{"name":"Crowdstrike","optional":true}],"status":"live","first_seen_at":"2026-10-12T22:08:21Z","employer_posted_date":"2026-10-12","last_verified_at":"2026-10-13T06:57:13Z","board_verified":true,"closed_at":null,"days_open":0,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":0},"description":"About the Role\nWe’re looking for an experienced software engineer to help drive and evolve our data and AI security product. Our technology is new and rapidly evolving: you’ll be an early contributor with a substantial impact on the architecture and be solving multiple exciting technical challenges!\nWhat You'll Do\nYou'll design and implement highly scalable and fault-tolerant solutions to protect enterprise data across public clouds (e.g., AWS, GCP, Azure), SaaS applications, and AI agents.\n\nYou'll build security capabilities that provide visibility into and control over how AI agents discover, access, process, and share sensitive enterprise data.\n\nYou'll solve real-world scaling problems that require thorough performance analysis and troubleshooting skills.\n\nYou'll work with a modern and constantly evolving microservices-based software stack that includes Go, Kubernetes, Bigtable, BigQuery, Spanner, Redis, Docker, and more.\n\nYou'll write robust, secure-by-design software that must withstand real-world attacks while processing untrusted data and communicating with hundreds of thousands of endpoints over the internet.\n\nWho You Are\nProven Expertise: You have 5-8 yrs of industry experience in building high-scale security products. Experience in data security is highly preferred.\n\nAI Agents and Agentic Security: You have experience building AI agents, agentic applications, or security solutions for AI agents. Familiarity with agent frameworks, tool calling, MCP, and securing agent access to enterprise data is highly preferred.\n\nCloud and SaaS Development: You have extensive experience developing distributed application software for public clouds (AWS, GCP, Azure) or SaaS applications.\n\nData Integration at Scale: You are skilled in integrating and ingesting large-scale data from third-party SaaS, PaaS, or IaaS APIs.\n\nProgramming Skills: You have extensive experience developing enterprise-scale applications, preferably in Go. Alternatively, you are proficient in Python, Java, or Rust.\n\nDatabase Proficiency: Familiarity with GCP Bigtable, BigQuery, or graph databases such as Neo4j or AWS Neptune is a plus.\n\nPerformance Optimization: You have expertise in profiling and optimizing distributed code that interacts with large databases and streaming platforms.\n\nAPI and Microservices Development: You are experienced in designing and implementing RESTful APIs, with hands-on knowledge of microservices and Kubernetes.\n\nCommunication Skills: You have excellent verbal and written communication skills in English and are comfortable collaborating frequently with distributed teams across Europe, India, and the US.\n\nJoining Cyberhaven means joining the team building Data Security for the Agentic Enterprise. Traditional tools fall short. Cyberhaven traces the full lifecycle of your data, adapting protection to changing context, so protection moves with the way people actually work, not against it. AI Changed Work. We Protect It.\nBacked by $250M from leading investors like Khosla and Redpoint, our team includes leaders who built industry-defining technologies at CrowdStrike, Palo Alto Networks, Meta, Google, and more. This role lets you shape the future of data security, working alongside people driven to protect workflows, not just data, for customers who cannot afford to slow down to stay safe.\nAI Tools Disclosure: As part of Cyberhaven's hiring process, we use recruiting tools that include AI-powered features to help with tasks like scheduling, note-taking, workflow automation, and other recruiting activities (\"AI Tools\"). The AI Tools may process information you provide during the application and interview process. When AI-assisted interview note taking is used, candidates are notified in advance and have the option to opt out of the AI-assisted interview note taking.\nCyberhaven is committed to creating a diverse environment and is an equal opportunity employer. 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