Software Engineer - Infrastructure (AI)

Location: Bangalore, India

Company

hirify.global builds autonomous coding agents that generate, test, and deploy production applications from plain-language intent. Its systems operate at global scale and support millions of applications.

What you will do

• Maintain distributed microservices infrastructure running across Kubernetes and GCP/AWS.
• Manage Kubernetes workloads with ArgoCD, including deployments, monitoring, troubleshooting, resource trees, and rollouts.
• Operate CDN and edge infrastructure with Cloudflare for performance, caching, and traffic management.
• Own observability with Grafana, Loki, Prometheus, and New Relic; improve monitoring, alerting, and distributed tracing.
• Participate in PagerDuty on-call rotations, respond to incidents, and perform root cause analysis.
• Support AI agent infrastructure, including scheduling, environment provisioning, deployments, trajectory tracking, and cost attribution; build internal tools and Kubernetes operators.

Requirements

• 3+ years of software or platform engineering experience with production systems.
• Production programming experience in Go or Python and hands-on experience building and deploying services on Kubernetes.
• Experience with GitOps tooling such as ArgoCD or Flux.
• Strong networking and DNS fundamentals, including TCP/IP, HTTP, load balancing, DNS resolution, TLS, and connectivity debugging.
• Solid Linux/OS fundamentals and experience debugging with tools such as strace, tcpdump, and netstat.
• Experience with relational and NoSQL databases, caching, message queues, streaming systems, cloud infrastructure, and at least one observability stack.

Nice to have

• Experience building Kubernetes operators with kubebuilder, operator-sdk, or controller-runtime.
• Experience tuning Kubernetes core components such as the API server, kubelet, or scheduler.
• Familiarity with AI/LLM infrastructure, including token management, cost tracking, and agent orchestration.
• Experience with CI/CD, infrastructure as code, large-scale distributed systems, or platform-as-a-service.
• Startup experience and comfort working in fast-paced, ambiguous environments.

Culture & Benefits

• Daily lunch and dinner provided.
• Family insurance coverage of 3 lakhs.
• Unlimited paid time off.
• Flexible working hours.
• Collaborative work with product and backend teams in a distributed, fast-moving environment.