{"id":1219497,"url":"https://alion.io/job/resolve-ai-software-engineer-infrastructure-security","title":"Software Engineer, Infrastructure Security","company":{"id":17440,"name":"Resolve AI","domain":"resolve.ai","url":"https://alion.io/company/resolve-ai","size_band":"51-200","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Ashby","truth_index":{"grade":"C","score":60,"open_postings":15,"ghost_share":0.667,"stale_share":0,"repost_share":0,"time_to_fill_p50_days":null,"computed_at":"2026-10-07T05:47:15Z"}},"role":"Backend","role_family":"Backend","seniority":null,"employment_type":"full_time","work_mode":"on_site","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":null,"salary_estimate":{"min_usd":143000,"max_usd":299000,"period":"year","method":"role_country_seniority_unknown","sample_n":7105},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"CI/CD","optional":false},{"name":"GCP","optional":false},{"name":"GitHub","optional":false},{"name":"IAM","optional":false},{"name":"LLM Guardrails","optional":false},{"name":"OpenTelemetry","optional":false},{"name":"Python","optional":false},{"name":"Splunk","optional":false},{"name":"Threat Modeling","optional":false},{"name":"VMWare","optional":false},{"name":"Agentic Workflows","optional":true}],"status":"live","first_seen_at":"2026-02-28T05:50:56Z","employer_posted_date":"2026-02-28","last_verified_at":"2026-10-08T01:38:08Z","board_verified":true,"closed_at":null,"days_open":221,"trust":{"level":"ghost","repost_count":0,"flags":["stale","company_stale"],"days_open":220},"description":"About Resolve AI\nSoftware maintenance and production troubleshooting have become a massive tax of engineering velocity. Resolve AI is solving this by building a transformative, truly autonomous AI Production Engineer that investigates and fixes complex system issues end-to-end.\n\nOur founders (Spiros Xanthos and Mayank Agarwal) are the core creators of OpenTelemetry and led Splunk Observability. They have had 2 successful exits to Splunk and VMware.\n\nWe’ve raised over $190M from top-tier investors including Lightspeed, Greylock, DST, Unusual Ventures, and individual backers such as Jeff Dean (Chief Scientist, Google DeepMind), Thomas Dohmke (CEO, GitHub), Matt Garman (CEO, AWS), Reid Hoffman (Founder, LinkedIn), and Fei-Fei Li (Professor, Stanford).\n\nWhat You’ll Do\nOwn security across the Resolve AI platform, spanning application security, cloud infrastructure, internal services, integrations, and agent execution.\n\nDesign security mechanisms that work with autonomous systems, enabling agents to take action safely, audibly, and within well-defined boundaries.\n\nPartner closely with engineers across platform, infra, and product to shape secure system designs early, not retroactively.\n\nBuild security directly into how we ship software: automation in CI/CD, guardrails in infrastructure, and defaults that scale as the company grows.\n\nEvaluate and improve how we handle identity, permissions, and access across customers, tools, and environments.\n\nStay ahead of emerging risks related to AI-driven systems and propose concrete, engineering-led mitigations.\n\nHelp Resolve AI meet the expectations of enterprise customers by clearly articulating our security posture and participating in technical security conversations when needed.\n\nSet the foundation for how security is practiced at Resolve: pragmatic, high-signal, and aligned with how real systems operate.\n\nWhat We’re Looking For\nA Bachelor's degree in Computer Science or a closely related technical field is required for this position.\n\nExperience securing modern production systems, including web applications, cloud infrastructure, and internal services.\n\nA strong engineering background, with hands-on experience writing production code and building automation (Python required; other languages welcome).\n\nComfort working across cloud environments (AWS, GCP, or Azure), including IAM, networking, and infrastructure-as-code.\n\nPractical experience with threat modeling, vulnerability management, and incident response and good instincts for what actually matters in production.\n\nThe ability to operate in ambiguity, make tradeoffs, and move quickly without losing rigor.\n\nClear communication skills and the judgment to explain risk in a way that builds trust with engineers, leadership, and customers.\n\nCuriosity and a customer-oriented mindset: you want to understand how Resolve is used in the real world and secure it accordingly.\n\nNice to Have\nExperience securing AI or ML-driven systems, including familiarity with risks unique to LLMs or agentic workflows.\n\nBackground building or integrating security tooling, especially where automation or scale was a core challenge.\n\nExposure to regulated environments or enterprise security reviews.\n\nExperience designing systems with privacy-first principles such as data minimization, isolation, and anonymization.\n\nWe are an equal opportunity employer. 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