{"id":2776661,"url":"https://alion.io/job/interactly-ai-infrastructure-engineer-l3","title":"Infrastructure Engineer L3","company":{"id":4444097,"name":"interactly.ai","domain":"interactly.ai","url":"https://alion.io/company/interactly-ai","size_band":"11-50","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":null,"truth_index":null},"role":"DevOps","role_family":"DevOps","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":["Hyderabad, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":11500,"max_usd":30000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":23},"experience_years_min":4,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"Amazon EKS","optional":false},{"name":"AWS","optional":false},{"name":"GCP","optional":false},{"name":"GitOps","optional":false},{"name":"Google GKE","optional":false},{"name":"HIPAA","optional":false},{"name":"Incident Management","optional":false},{"name":"Kubernetes","optional":false},{"name":"LLM","optional":false},{"name":"Multimodal AI","optional":false},{"name":"Python","optional":false},{"name":"SBOM","optional":false},{"name":"SOC 2","optional":false},{"name":"Terraform","optional":false},{"name":"Claude Code","optional":true},{"name":"Copilot","optional":true},{"name":"Cursor","optional":true},{"name":"Zero Trust","optional":true}],"status":"live","first_seen_at":"2026-09-30T06:20:34Z","employer_posted_date":null,"last_verified_at":"2026-09-30T06:20:34Z","board_verified":false,"closed_at":null,"days_open":17,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":17},"description":"About Interactly.ai\nInteractly.ai is transforming healthcare operations with AI-powered automation across scheduling, lab follow-ups, eligibility checks, prior authorization, and insurance verification. Our multimodal AI agents work across voice, email, chat, fax, and EHR integrations improving patient access, reducing staff burden, and accelerating care delivery.\nWe serve 2,000+ physicians and healthcare providers, delivering measurable outcomes, 20–30% fewer no-shows and thousands of staff hours saved. Now, we're scaling our AI platform and we want you to help lead that charge.\n\nRole Overview \nOwn infrastructure architecture, scalability, and reliability. Set technical direction, define SRE practice, and mentor engineers. Build and operate AI-scale infrastructure powering real-time healthcare workflows. \n\nKey Responsibilities \nArchitecture & Platform\nDesign scalable, secure, cost-efficient AWS/GCP architectures for AI and healthcare workloads \nLead IaC standards and reusable modules org-wide; own GitOps practices \nArchitect optimized Kubernetes (EKS/GKE) for HA, scale, and GPU workload orchestration \nReliability Engineering\nDefine and drive reliability targets (SLOs/SLIs); establish SRE practice \nLead incident management, RCA, and blameless post-mortems for critical systems \nPartner on infrastructure hardening and compliance (SOC 2, HIPAA) \nAI-First Engineering\nLead AI/ML inference and GPU infrastructure scaling in production \nEvaluate and introduce AI tooling, platforms, and automation best practices \nContribute to LLM deployment pipelines and AI systems reliability \nLeadership & SDLC\nMentor L1/L2 engineers; influence cross-team infrastructure decisions \nDrive DevSecOps maturity across 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