Bachelor's degree or higher in Computer Science, Software Engineering, Information Technology, or a related field.
2+ years of hands-on experience in cloud infrastructure, Kubernetes operations, platform engineering, or related areas.
Strong knowledge of AWS services (EKS, IAM, VPC, EC2, S3) and networking/security capabilities.
Hands-on experience managing Kubernetes in production environments.
Familiarity with Kubernetes ecosystem tools like CRDs, Helm, Cluster API.
Experience with GitOps tools such as FluxCD or ArgoCD.
Solid Linux administration skills, including systemd and networking.
Responsibilities
Design and build robust cloud-native infrastructure for large-scale workloads.
Optimize multi-account AWS environments with Infrastructure as Code tools like Terraform.
Manage Kubernetes clusters, handling upgrades and autoscaling.
Build components for the Kubernetes ecosystem, including CRDs and Helm.
Implement GitOps-based deployment workflows with FluxCD or ArgoCD.
Enhance Istio service mesh capabilities for improved traffic management and security.
Establish reliability practices such as monitoring and incident response.
Benefits
Free snacks and drinks
Fully paid medical, dental, and vision insurance (partial coverage for dependents)
Contributions to 401k funds
Bi-annual reviews and annual pay increases
Health and wellness benefits, including a free gym membership
Quarterly team-building events
Full Job Description
KEY RESPONSIBILITIES
Design, build, and maintain reliable, scalable, and secure cloud-native infrastructure platforms supporting large-scale production workloads.
Operate and optimize multi-account AWS environments, ensuring infrastructure is secure, repeatable, and auditable through Infrastructure as Code tools such as Terraform.
Manage production Kubernetes clusters, including provisioning, upgrades, autoscaling, networking, observability, capacity planning, and day-to-day operations.
Build and operate Kubernetes ecosystem components such as CRDs, Helm, HPA, Cluster Autoscaler, CoreDNS, and Cluster API.
Operate and improve GitOps-based deployment workflows using tools such as FluxCD or ArgoCD.
Manage and enhance Istio service mesh capabilities, including traffic routing, service discovery, resilience, security, and service-to-service communication.
Define and improve reliability practices, including SLOs, Error Budgets, monitoring, alerting, incident response, and post-mortems.
Participate in a scheduled on-call rotation to support production cloud infrastructure and Kubernetes platforms.
Troubleshoot complex production issues across cloud infrastructure, Kubernetes, Linux systems, networking, and distributed services.
Drive automation for infrastructure provisioning, configuration management, CI/CD pipelines, observability, and operational workflows using Terraform, Go, Python, or similar technologies.
Collaborate with application engineering, architecture, security, and platform teams to improve infrastructure reliability, scalability, and operational efficiency.
Requirements
REQUIRED QUALIFICATIONS
Bachelor's degree or above in Computer Science, Software Engineering, Information Technology, or a related field.
2+ years of hands-on experience in cloud infrastructure, Kubernetes operations, platform engineering, SRE, or related areas.
Strong knowledge of AWS services, including EKS, IAM, VPC, EC2, S3, and related networking and security capabilities.
Hands-on experience operating Kubernetes in production environments, including cluster architecture, workload orchestration, networking, autoscaling, and troubleshooting.
Familiarity with Kubernetes ecosystem tools such as CRDs, Helm, Cluster API, HPA, Cluster Autoscaler, and CoreDNS.
Experience with GitOps tools such as FluxCD or ArgoCD.
Solid Linux administration and troubleshooting skills, including systemd, networking, and performance analysis.
Experience with CI/CD pipelines and infrastructure automation using Terraform, Go, Python, or similar tools.
Good understanding of reliability engineering practices, including SLOs, incident response, monitoring, alerting, and post-mortems.
Strong problem-solving skills and ability to diagnose and resolve complex infrastructure issues in distributed systems.
Good communication skills and ability to collaborate effectively with cross-functional engineering teams.
Willingness to participate in a scheduled on-call rotation.
PREFERRED QUALIFICATIONS
Experience with NVIDIA device plugins, GPU scheduling, or GPU workload operations in Kubernetes environments.
Experience with additional public cloud platforms such as Azure or Alibaba Cloud.
Kubernetes certifications such as CKA, CKAD, or CKS are a plus.
Benefits
Salary range: TBD
Free snacks and drinks
Fully paid medical, dental, and vision insurance (partial coverage for dependents)
Contributions to 401k funds
Bi-annual reviews, and annual pay increases
Health and wellness benefits, including free gym membership
