{"id":3841614,"url":"https://alion.io/job/coderabbit-ai-operations-engineer-americas","title":"AI Operations Engineer, Americas","company":{"id":35010,"name":"CodeRabbit","domain":"coderabbit.ai","url":"https://alion.io/company/coderabbit-ai","size_band":"501-1000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Ashby","truth_index":{"grade":"A","score":93,"open_postings":29,"ghost_share":0,"stale_share":0.069,"repost_share":0,"time_to_fill_p50_days":98,"computed_at":"2026-11-07T05:47:08Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"middle","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Boston, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":140000,"max":180000,"currency":"USD","period":"year","gross":null,"usd_annual":180000},"salary_estimate":null,"experience_years_min":3,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"JavaScript","optional":false},{"name":"LLM","optional":false},{"name":"Python","optional":false},{"name":"CI/CD","optional":true},{"name":"Cursor","optional":true},{"name":"Git","optional":true},{"name":"GitHub","optional":true}],"status":"live","first_seen_at":"2026-11-05T20:25:30Z","employer_posted_date":"2026-11-05","last_verified_at":"2026-11-07T05:54:20Z","board_verified":true,"closed_at":null,"days_open":1,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":1},"description":"About CodeRabbit\nCodeRabbit is the governance and control layer for agentic software development, helping engineering teams trust the code they ship. AI can generate code faster than people can review and understand it. Teams still need to know whether each change solves the right problem, fits their architecture, and is safe to ship.\nWe provide independent validation grounded in codebase context and team standards, giving people the evidence they need to judge what should ship. Across Review, Triage, Explain, and Secure, our platform challenges changes before merge, prioritizes pull requests by value, impact, and risk, explains what changed and why it matters, and monitors the codebase for security vulnerabilities after merge.\nCodeRabbit serves nearly 20,000 customers and supports approximately 300,000 open-source repositories, performing over 2 million code reviews each week. Our $143M Series C, raised at a $1.5B valuation, supports further product development and international expansion.\nLocations: San Fransisco, CA or Boston, MA (Boston preferred)- Hybrid\nRole Overview\nAt CodeRabbit, we seek an exceptional Support Operations Engineer who identifies operational gaps, designs solutions autonomously, and executes end-to-end. You will own the full lifecycle, from spotting inefficiencies in how support operates, to architecting the fix, to building and deploying the solution yourself. You'll be hands-on with code, automation, integrations, and data systems. You'll think strategically about frameworks and processes, then immediately build what's needed without waiting for someone else. You work across Product, Engineering, Services, and Support to understand pain points, but you drive the technical solutions yourself. 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needed, build them, integrate them, optimize them\n\nEvaluate, architect, and implement the support tooling stack-independently making decisions and building integrations that scale operations\n\nOwn technical initiatives end-to-end: identify the problem, prototype the solution, validate it works, deploy it, optimize it-all autonomously\n\nAutonomously build systems that improve support quality: quality automation, specialization tooling, knowledge distribution, training frameworks\n\nIdentify and execute supportability improvements autonomously; partner with Engineering and Product to shape AI-driven support\n\nDrive strategic projects to identify, implement, and scale tools and automation that improve support efficiency, leverage LLM/AI capabilities, and enhance customer experience\n\nQualifications\nGreat candidates often have these qualifications:\nAt least 3 years of hands-on experience building support operations systems, automation, or technical solutions autonomously in a SaaS environment\n\nProven track record of identifying operational problems and autonomously building and deploying solutions that measurably improved support metrics\n\nStrong technical foundation with proficiency in Python, JavaScript, or similar languages; able to independently build automation, data systems, dashboards, and ship solutions\n\nCustomer Obsession: a passion to deliver a high-quality customer experience\n\nSystems thinking: ability to see operational gaps, architect fixes autonomously, and execute end-to-end without waiting for someone else to build\n\n“Nice to Have”\nGreat candidates may also have one or more of these qualifications:\nProficiency in at least one programming or scripting language\n\nExperience with code review processes and tools\n\nFamiliarity with observability, RCA, and debugging practices and tools\n\nStrong understanding of modern software development practices, version control systems, and the software development ecosystem, e.g. Git, GitHub, CI/CD, 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