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Infrastructure Engineer – L2

  • Source: LinkedIn
  • Interactly.ai
  • Hybrid
  • Hyderabad
  • Full-Time
  • Mid level

Job Description

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

Build and operate cloud infrastructure powering Interactly’s real-time AI agents, healthcare workflows, voice systems, and enterprise integrations. Ideal for engineers who leverage AI tools daily and believe in AI-assisted software and infrastructure development.

Key Responsibilities

Infrastructure & Reliability

  • Manage AWS/GCP production environments; own reliability, uptime, and disaster recovery
  • Support Kubernetes (EKS/GKE) workloads and build scalable, highly available infrastructure
  • Define SLIs, SLOs, and operational metrics

DevOps & Platform Engineering

  • Build and optimize CI/CD pipelines (GitHub Actions, GitLab CI, Jenkins)
  • Automate deployments and infrastructure provisioning via Terraform/CloudFormation
  • Improve developer productivity and release velocity across the SDLC

Observability & Operations

  • Implement monitoring, logging, and alerting (Prometheus, Grafana, CloudWatch, ELK)
  • Participate in incident response, root-cause analysis, and blameless post-mortems

AI-First Engineering

  • Leverage Claude Code, Cursor, Copilot and similar AI tools in daily operations
  • Support AI/ML inference and LLM workload deployment pipelines
  • Contribute to AI infrastructure automation and self-healing systems

Requirements

  • 3–5 years in DevOps, SRE, or Infrastructure Engineering
  • Hands-on with AWS & GCP (EC2/GCE, S3/GCS, VPC, IAM, EKS/GKE)
  • Docker & Kubernetes in production
  • AI/ML inference or GPU infrastructure scaling
  • IaC tools: Terraform / CloudFormation
  • CI/CD: GitHub Actions, GitLab CI, or Jenkins
  • Python or Bash scripting; Linux & networking fundamentals
  • Strong ownership mindset and AI-first working style

Nice-to-Have

  • LLM Gateway deployment & management
  • Service mesh, secrets management, policy-as-code (ArgoCD, Flux)
  • SDLC/GitOps maturity (sealed-secrets, SBOM, supply-chain security)
  • Healthcare technology or startup experience

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

Skills

  • interactly
  • amazon-web-services
  • google-cloud-platform
  • Kubernetes
  • Github
  • github-actions
  • gitlab
  • gitlab-ci
  • Jenkins
  • Terraform
  • Prometheus
  • Grafana
  • amazon-cloudwatch
  • elk
  • claude-code
  • Cursor
  • amazon-ec2
  • amazon-s3
  • amazon-vpc
  • google-vpc
  • aws-iam
  • amazon-eks
  • Docker
  • Python
  • argo-cd
  • seed
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