We are looking for a DevOps DevOps Engineer to take ownership of our Cloud Infrastructure and Platform Engineering strategy, enabling high-scale, cutting-edge GenAI products running across 40+ Kubernetes clusters on GCP and AWS.
This role is a hands-on engineering , requiring deep expertise in cloud-native technologies, Kubernetes at scale, and modern DevOps principles. You will work closely with engineering teams to design and implement scalable infrastructure solutions, optimize developer workflows, and ensure reliability and efficiency across our platform.
Role and Responsibilities:
Cloud & Kubernetes Expertise: Design and implement highly scalable multi-cluster Kubernetes environments across GCP & AWS.
Developer Experience & Enablement: Lead the development of self-service tools and automation that improve efficiency for R&D teams.
Incident & Reliability Engineering: Work with engineering teams to optimize cost, performance, and reliability of production infrastructure through monitoring, capacity planning, and scaling strategies.
Security & Governance: Contribute to best practices for RBAC, IAM, cloud security, and compliance while ensuring infrastructure reliability.
Automation & Infrastructure as Code: Drive adoption of GitOps workflows and Infrastructure as Code (Terraform, Helm, Crossplane) to enhance automation and consistency.
Mentorship & Team Growth: Provide technical mentorship within the platform engineering team and contribute to knowledge-sharing across R&D.
Cross-Team Collaboration: Work closely with engineering teams to align cloud infrastructure goals with business needs and reliability requirements.
Technology Assessment: Assess and advocate for new technologies that improve reliability, efficiency, and scalability within the platform.
This role is a hands-on engineering , requiring deep expertise in cloud-native technologies, Kubernetes at scale, and modern DevOps principles. You will work closely with engineering teams to design and implement scalable infrastructure solutions, optimize developer workflows, and ensure reliability and efficiency across our platform.
Role and Responsibilities:
Cloud & Kubernetes Expertise: Design and implement highly scalable multi-cluster Kubernetes environments across GCP & AWS.
Developer Experience & Enablement: Lead the development of self-service tools and automation that improve efficiency for R&D teams.
Incident & Reliability Engineering: Work with engineering teams to optimize cost, performance, and reliability of production infrastructure through monitoring, capacity planning, and scaling strategies.
Security & Governance: Contribute to best practices for RBAC, IAM, cloud security, and compliance while ensuring infrastructure reliability.
Automation & Infrastructure as Code: Drive adoption of GitOps workflows and Infrastructure as Code (Terraform, Helm, Crossplane) to enhance automation and consistency.
Mentorship & Team Growth: Provide technical mentorship within the platform engineering team and contribute to knowledge-sharing across R&D.
Cross-Team Collaboration: Work closely with engineering teams to align cloud infrastructure goals with business needs and reliability requirements.
Technology Assessment: Assess and advocate for new technologies that improve reliability, efficiency, and scalability within the platform.
Requirements:
Technical Expertise:
5+ years of DevOps, or SRE experience
3+ years working with public cloud platforms (AWS, GCP) at scale
Deep Kubernetes expertise, including managing large-scale, multi-cluster enterprise-grade Kubernetes environments
Experience designing and managing Custom Resource Definitions (CRDs) and custom controllers
Strong background in Infrastructure as Code (Terraform, Helm) and GitOps principles (ArgoCD, Crossplane, FluxCD, etc.)
Hands-on experience in observability & monitoring (Prometheus, Grafana, Datadog, OpenTelemetry, etc.)
Proficiency in scripting & automation (Python, Go, Bash) for infrastructure automation
Expertise in cloud networking (VPC, load balancers, service meshes) and security best practices (RBAC, IAM, security groups, network policies, etc.)
Experience with CI/CD pipelines, optimizing for performance, security, and developer velocity
Nice-to-Have:
Experience with self-hosted on-prem deployments and managed private VPC deployments (Bring Your Own Cloud models)
Advanced expertise in Helm and Crossplane for Kubernetes resource management.
Other cloud provider experience
Experience in GenAI or large-scale SaaS platforms
Familiarity with SQL/NoSQL databases and distributed systems
DevSecOps experience, with a strong understanding of security automation and compliance frameworks.
Technical Expertise:
5+ years of DevOps, or SRE experience
3+ years working with public cloud platforms (AWS, GCP) at scale
Deep Kubernetes expertise, including managing large-scale, multi-cluster enterprise-grade Kubernetes environments
Experience designing and managing Custom Resource Definitions (CRDs) and custom controllers
Strong background in Infrastructure as Code (Terraform, Helm) and GitOps principles (ArgoCD, Crossplane, FluxCD, etc.)
Hands-on experience in observability & monitoring (Prometheus, Grafana, Datadog, OpenTelemetry, etc.)
Proficiency in scripting & automation (Python, Go, Bash) for infrastructure automation
Expertise in cloud networking (VPC, load balancers, service meshes) and security best practices (RBAC, IAM, security groups, network policies, etc.)
Experience with CI/CD pipelines, optimizing for performance, security, and developer velocity
Nice-to-Have:
Experience with self-hosted on-prem deployments and managed private VPC deployments (Bring Your Own Cloud models)
Advanced expertise in Helm and Crossplane for Kubernetes resource management.
Other cloud provider experience
Experience in GenAI or large-scale SaaS platforms
Familiarity with SQL/NoSQL databases and distributed systems
DevSecOps experience, with a strong understanding of security automation and compliance frameworks.
This position is open to all candidates.
