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Job Type   /   Job Level
Full-time   /   Senior Executive
Job Location
New York, NY
Salary Range
USD 11,000 - USD 16,000 (Monthly)
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About The Role

The role focuses on building, scaling, and maintaining the infrastructure that powers a high-throughput, low-latency cloud platform. You will design self-healing systems, optimize continuous deployment pipelines, and ensure maximum uptime and performance across multi-region Kubernetes clusters.

Working closely with software engineering teams, the role acts as a bridge between application code and underlying infrastructure. The focus is on automating everything, eliminating manual toil, and treating infrastructure strictly as code to support rapid, reliable software delivery.

Key Responsibilities

  • Design, provision, and manage multi-region cloud infrastructure on AWS using Terraform for declarative Infrastructure as Code (IaC)
  • Maintain and optimize production Kubernetes clusters (EKS), focusing on network policies, autoscaling behaviors, and resource efficiency
  • Build and maintain robust CI/CD pipelines using GitHub Actions or GitLab CI to automate testing, security scanning, and containerized deployments
  • Implement comprehensive monitoring, logging, and distributed tracing systems using Prometheus, Grafana, and the ELK stack to establish clear SLOs/SLIs
  • Participate in a shared blameless on-call rotation, leading incident response, conducting root-cause analysis (RCA), and implementing preventative automation
  • Collaborate with security teams to enforce IAM least-privilege policies, secret management using HashiCorp Vault, and vulnerability scanning in build pipelines

What We Are Looking For

  • 3–6 years of experience in a DevOps, SRE, or Infrastructure Engineering role supporting production environments at scale
  • Strong proficiency with Infrastructure as Code, specifically writing modular, reusable Terraform
  • Production-level experience orchestrating containerized workloads with Kubernetes, including Helm chart management
  • Solid scripting and automation skills in Python, Go, or Bash, with a strong emphasis on writing clean, version-controlled code
  • Deep understanding of Linux systems administration, TCP/IP networking, DNS, and load balancing topologies
  • Bonus: Experience with service meshes (Istio/Linkerd), GitOps deployment patterns (ArgoCD), or managing high-volume PostgreSQL/Kafka deployments
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