Interactly.ai Hyderabad, Telangana, India

Infrastructure Engineer – L3

Interactly.ai Hyderabad, Telangana, India

10 hours ago 115 applicants

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A bout Interactly.ai Interactly.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. We 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.

Role Overview Own 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.

Key Responsibilities Architecture & Platform

- Design scalable, secure, cost-efficient AWS/GCP architectures for AI and healthcare workloads
- Lead IaC standards and reusable modules org-wide; own GitOps practices
- Architect optimized Kubernetes (EKS/GKE) for HA, scale, and GPU workload orchestration

Reliability Engineering

- Define and drive reliability targets (SLOs/SLIs); establish SRE practice
- Lead incident management, RCA, and blameless post-mortems for critical systems
- Partner on infrastructure hardening and compliance (SOC 2, HIPAA)

AI-First Engineering

- Lead AI/ML inference and GPU infrastructure scaling in production
- Evaluate and introduce AI tooling, platforms, and automation best practices
- Contribute to LLM deployment pipelines and AI systems reliability

Leadership & SDLC

- Mentor L1/L2 engineers; influence cross-team infrastructure decisions
- Drive DevSecOps maturity across the SDLC (policy-as-code, SBOM, supply-chain security)
- Evaluate and introduce new tooling and platforms

Requirements

- 4–7 years infrastructure/platform/DevOps/SRE
- Deep expertise in AWS & GCP large-scale production systems
- Advanced Kubernetes (cluster design, multi-tenant ops, resource quotas)
- AI/ML inference or GPU infrastructure scaling (production track record)
- Strong Terraform / equiv. and GitOps practices
- Python, Go, or Bash scripting and automation
- Track record in scale, reliability, and cost efficiency
- Lead incident response and on-call practices

Nice-to-Have

- LLM Gateway architecture and optimization
- Zero-trust networking and advanced security/compliance (SOC 2, HIPAA)
- DevSecOps maturity: SBOM, supply-chain security, policy-as-code
- Open-source contributions or platform-team leadership

Why Join Interactly.ai?

- Build infrastructure and products powering real-world healthcare AI
- Work with AI-native engineering teams using cutting-edge tools (Claude Code, Cursor, Copilot)
- Mission-driven impact — improve patient outcomes and save thousands of staff hours
- High ownership, rapid learning, and significant career upside
- Global collaboration across India and the US
- Seed-stage growth — scale from Seed to Series A alongside the team

Interview Process Recruiter Screen → Functional / Technical Round → System Design / Product Deep Dive → Founder Interview

- Seniority level Mid-Senior level
- Employment type Full-time
- Job function Information Technology, Engineering, and Health Care Provider
- Industries Software Development and Artificial Intelligence

Referrals increase your chances of interviewing at Interactly.ai by 2x

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Interactly.ai Hyderabad, Telangana, India

Key Responsibilities Architecture & Platform

- Design scalable, secure, cost-efficient AWS/GCP architectures for AI and healthcare workloads
- Lead IaC standards and reusable modules org-wide; own GitOps practices
- Architect optimized Kubernetes (EKS/GKE) for HA, scale, and GPU workload orchestration

Reliability Engineering

- Define and drive reliability targets (SLOs/SLIs); establish SRE practice
- Lead incident management, RCA, and blameless post-mortems for critical systems
- Partner on infrastructure hardening and compliance (SOC 2, HIPAA)

AI-First Engineering

- Lead AI/ML inference and GPU infrastructure scaling in production
- Evaluate and introduce AI tooling, platforms, and automation best practices
- Contribute to LLM deployment pipelines and AI systems reliability

Leadership & SDLC

- Mentor L1/L2 engineers; influence cross-team infrastructure decisions
- Drive DevSecOps maturity across the SDLC (policy-as-code, SBOM, supply-chain security)
- Evaluate and introduce new tooling and platforms

Requirements

- 4–7 years infrastructure/platform/DevOps/SRE
- Deep expertise in AWS & GCP large-scale production systems
- Advanced Kubernetes (cluster design, multi-tenant ops, resource quotas)
- AI/ML inference or GPU infrastructure scaling (production track record)
- Strong Terraform / equiv. and GitOps practices
- Python, Go, or Bash scripting and automation
- Track record in scale, reliability, and cost efficiency
- Lead incident response and on-call practices

Nice-to-Have

- LLM Gateway architecture and optimization
- Zero-trust networking and advanced security/compliance (SOC 2, HIPAA)
- DevSecOps maturity: SBOM, supply-chain security, policy-as-code
- Open-source contributions or platform-team leadership

Why Join Interactly.ai?

- Build infrastructure and products powering real-world healthcare AI
- Work with AI-native engineering teams using cutting-edge tools (Claude Code, Cursor, Copilot)
- Mission-driven impact — improve patient outcomes and save thousands of staff hours
- High ownership, rapid learning, and significant career upside
- Global collaboration across India and the US
- Seed-stage growth — scale from Seed to Series A alongside the team

Interview Process Recruiter Screen → Functional / Technical Round → System Design / Product Deep Dive → Founder Interview

- Seniority level Mid-Senior level
- Employment type Full time
- Job function Information Technology, Engineering, and Health Care Provider
- Industries Software Development and Artificial Intelligence

Key Responsibilities Architecture & Platform

- Design scalable, secure, cost-efficient AWS/GCP architectures for AI and healthcare workloads
- Lead IaC standards and reusable modules org-wide; own GitOps practices
- Architect optimized Kubernetes (EKS/GKE) for HA, scale, and GPU workload orchestration

Reliability Engineering

- Define and drive reliability targets (SLOs/SLIs); establish SRE practice
- Lead incident management, RCA, and blameless post-mortems for critical systems
- Partner on infrastructure hardening and compliance (SOC 2, HIPAA)

AI-First Engineering

- Lead AI/ML inference and GPU infrastructure scaling in production
- Evaluate and introduce AI tooling, platforms, and automation best practices
- Contribute to LLM deployment pipelines and AI systems reliability

Leadership & SDLC

- Mentor L1/L2 engineers; influence cross-team infrastructure decisions
- Drive DevSecOps maturity across the SDLC (policy-as-code, SBOM, supply-chain security)
- Evaluate and introduce new tooling and platforms

Requirements

- 4–7 years infrastructure/platform/DevOps/SRE
- Deep expertise in AWS & GCP large-scale production systems
- Advanced Kubernetes (cluster design, multi-tenant ops, resource quotas)
- AI/ML inference or GPU infrastructure scaling (production track record)
- Strong Terraform / equiv. and GitOps practices
- Python, Go, or Bash scripting and automation
- Track record in scale, reliability, and cost efficiency
- Lead incident response and on-call practices

Nice-to-Have

- LLM Gateway architecture and optimization
- Zero-trust networking and advanced security/compliance (SOC 2, HIPAA)
- DevSecOps maturity: SBOM, supply-chain security, policy-as-code
- Open-source contributions or platform-team leadership

Why Join Interactly.ai?

- Build infrastructure and products powering real-world healthcare AI
- Work with AI-native engineering teams using cutting-edge tools (Claude Code, Cursor, Copilot)
- Mission-driven impact — improve patient outcomes and save thousands of staff hours
- High ownership, rapid learning, and significant career upside
- Global collaboration across India and the US
- Seed-stage growth — scale from Seed to Series A alongside the team

Interview Process Recruiter Screen → Functional / Technical Round → System Design / Product Deep Dive → Founder Interview

- Seniority level Mid-Senior level
- Employment type Full-time
- Job function Information Technology, Engineering, and Health Care Provider
- Industries Software Development and Artificial Intelligence

Key Responsibilities Architecture & Platform

- Design scalable, secure, cost-efficient AWS/GCP architectures for AI and healthcare workloads
- Lead IaC standards and reusable modules org-wide; own GitOps practices
- Architect optimized Kubernetes (EKS/GKE) for HA, scale, and GPU workload orchestration

Reliability Engineering

- Define and drive reliability targets (SLOs/SLIs); establish SRE practice
- Lead incident management, RCA, and blameless post-mortems for critical systems
- Partner on infrastructure hardening and compliance (SOC 2, HIPAA)

AI-First Engineering

- Lead AI/ML inference and GPU infrastructure scaling in production
- Evaluate and introduce AI tooling, platforms, and automation best practices
- Contribute to LLM deployment pipelines and AI systems reliability

Leadership & SDLC

- Mentor L1/L2 engineers; influence cross-team infrastructure decisions
- Drive DevSecOps maturity across the SDLC (policy-as-code, SBOM, supply-chain security)
- Evaluate and introduce new tooling and platforms

Requirements

- 4–7 years infrastructure/platform/DevOps/SRE
- Deep expertise in AWS & GCP large-scale production systems
- Advanced Kubernetes (cluster design, multi-tenant ops, resource quotas)
- AI/ML inference or GPU infrastructure scaling (production track record)
- Strong Terraform / equiv. and GitOps practices
- Python, Go, or Bash scripting and automation
- Track record in scale, reliability, and cost efficiency
- Lead incident response and on-call practices

Nice-to-Have

- LLM Gateway architecture and optimization
- Zero-trust networking and advanced security/compliance (SOC 2, HIPAA)




- DevSecOps maturity: SBOM, supply-chain security, policy-as-code
- Open-source contributions or platform-team leadership

Why Join Interactly.ai?

- Build infrastructure and products powering real-world healthcare AI
- Work with AI-native engineering teams using cutting-edge tools (Claude Code, Cursor, Copilot)
- Mission-driven impact — improve patient outcomes and save thousands of staff hours
- High ownership, rapid learning, and significant career upside
- Global collaboration across India and the US
- Seed-stage growth — scale from Seed to Series A alongside the team

Interview Process Recruiter Screen → Functional / Technical Round → System Design / Product Deep Dive → Founder Interview Referrals increase your chances of interviewing at Interactly.ai by 2x

See who you know

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