Senior Infrastructure Engineer

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

Job Description 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 opportunity?

• 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