{"id":700118,"url":"https://alion.io/job/take2-senior-software-engineer","title":"Senior Software Engineer","company":{"id":684972,"name":"Take2 AI","domain":"take2.ai","url":"https://alion.io/company/take2-3","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":null,"computed_at":"2026-10-30T05:48:23Z"}},"role":"Backend","role_family":"Backend","seniority":"senior","employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["New York, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":140000,"max":200000,"currency":"USD","period":"year","gross":null,"usd_annual":200000},"salary_estimate":null,"experience_years_min":6,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"Amazon EC2","optional":false},{"name":"Amazon ECS","optional":false},{"name":"Amazon EKS","optional":false},{"name":"AWS","optional":false},{"name":"Docker","optional":false},{"name":"JavaScript","optional":false},{"name":"Kubernetes","optional":false},{"name":"Machine Learning","optional":false},{"name":"MySQL","optional":false},{"name":"Node JS","optional":false},{"name":"PostgreSQL","optional":false},{"name":"Python","optional":false},{"name":"React.js","optional":false}],"status":"live","first_seen_at":"2025-08-12T22:25:28Z","employer_posted_date":"2025-08-12","last_verified_at":"2026-10-30T06:22:53Z","board_verified":true,"closed_at":null,"days_open":443,"trust":{"level":"stale","repost_count":0,"flags":["stale"],"days_open":442},"description":"About Take2 AI\nTake2 is an AI agents platform purpose-built for healthcare recruiting. Take2’s agent network automates the end-to-end recruiting process, from sourcing and screening to credential verification, scheduling, and onboarding.\nWe work with enterprise healthcare customers, including some of the largest health systems in the USA.\nAbout The Role\nTake2 AI is hiring a hands-on Senior Software Engineer to lead and scale the infrastructure powering our AI-driven products.\nOur systems already support thousands of candidate interactions each month-now we’re building for millions. You’ll evolve the architecture to meet new demands, guide technical direction, and mentor engineers while delivering high-impact solutions.\nThis role is ideal for someone who thrives in both high-scale environments and fast-moving startups, playing a key leadership role from design through production with significant ownership over technical execution and direction.\nIn Terms of Experience\nRequired:\n6+ years software engineering experience (with high exposure to full stack)\n\nBachelor’s in Computer Science or Computer Engineering\n\nHas held titles such as Senior SWE, Staff/Principal Engineer, Software Engineering Lead, or Technical Lead\n\n2+ years at a Series D+ company\n\n2+ years at a fast-paced and high-growth early-stage startup (Series A or lower)\n\nDemonstrated hands-on technical leadership-ownership of a domain, architecture decisions, delegation/mentoring\n\nExperience building, operating, and scaling high-throughput, high-availability distributed systems, including observability/monitoring and reliability for mission-critical systems\n\nCapable of contributing across the stack-backend, infrastructure, and web/frontend-jumping in where needed to deliver end-to-end solutions.\n\nComfortable navigating and working within infrastructure environments, including Kubernetes (EKS), ECS, EC2, and Docker-able to deploy, troubleshoot, and optimize services in production.\n\nSkilled with JavaScript, Node.js, Python, React, AWS, EKS, ECS, Kubernetes, Docker, MySQL/Postgres\n\nPreferred:\nBuilt, deployed and scaled end-to-end AI applications (LLMs, speech/voice, recommendation engines, etc.) in consumer-facing products\n\nExperience with LLMs, Voice, Streaming, Low Latency, or Machine Learning Pipelines\n\nWhat You’ll Do\nEvolve and scale the backend architecture powering our AI-driven products\n\nLead technical execution: set architectural direction, mentor engineers, delegate effectively, and remain hands-on\n\nBuild and deliver end-to-end AI applications in close collaboration with product and founding teams\n\nEnsure the reliability, scalability, and observability of production systems\n\nStrengthen and evolve our engineering standards and technical culture as a key early leader on the team\n\nLocation & Flexibility\nWe’re NYC-based and work hybrid (in-office Mon-Thu). We value in-person collaboration but also trust people to manage their time responsibly.\nCompensation & Growth\nCompetitive salary + meaningful equity. 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