Company: Recruiting Bond

Website: Visit Website

Business Type: Startup

Company Type: Product

Business Model: B2B

Funding Stage: Seed

Industry: Healthcare

Salary Range: ₹ 20-35 Lacs PA

Build and operate cloud infrastructure powering our Clients 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 this chance?

- 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

📌 Senior Infrastructure Engineer (Hyderabad)
🏢 ICE
📍 Hyderabad