Mid-level Platform Engineer
Indexed description
If you enjoy working with new technologies, enterprise-leading equipment, and seek to design, deploy, and maintain development pipelines, we would like to speak to you. This position will play a key critical role in building, maintaining, and optimizing the underlying infrastructure to support Artificial Intelligence (AI) workloads.
Responsibilities
- Cluster Management: Extensive experience designing, deploying, securing, maintaining, and upgrading highly available, scalable Kubernetes clusters (e.g., EKS, AKS, GKE, OpenShift, or self-managed). This includes understanding control plane components, worker nodes, and their interactions.
- Containerization & Orchestration: Proficient with Docker and containerization best practices, along with advanced knowledge of Kubernetes primitives like Pods, Deployments, StatefulSets, Services, Ingress, ConfigMaps, Secrets, Persistent Volumes, and Namespaces.
- Networking: Strong understanding of Kubernetes networking concepts (CNI plugins like Calico or Cilium), network policies, service meshes (e.g., Istio, Linkerd), and DNS within and outside the cluster.
- Security: Expertise in securing Kubernetes environments, including RBAC, Pod Security Policies/Admission Controllers, vulnerability scanning, secret management (e.g., Vault, AWS Secrets Manager), and network security.
- Performance & Optimization: Ability to diagnose and resolve complex performance issues within Kubernetes, optimize resource utilization, and implement best practices for cluster tuning.
- Troubleshooting: Advanced troubleshooting skills for identifying and resolving issues across the entire Kubernetes stack, from infrastructure to application-level problems.
- CI/CD Tooling: Hands-on experience with popular CI/CD platforms like Jenkins, GitLab CI/CD, GitHub Actions, Tekton, Argo Workflows, or similar.
- Pipeline Design & Implementation: Ability to design, implement, and maintain robust, automated CI/CD pipelines for deploying containerized applications to Kubernetes, adhering to best practices like GitOps.
- Infrastructure as Code (IaC): Proficiency with IaC tools such as Terraform, Pulumi, or CloudFormation for provisioning and managing infrastructure declaratively. Experience with Helm charts and Kustomize for Kubernetes application packaging and deployment.
- Automation Scripting: Strong scripting skills in languages like Python, Go, Bash, or similar, for automating tasks, creating custom tooling, and integrating various systems.
- GitOps Methodologies: Practical experience with GitOps workflows and tools like Argo CD for automated deployments and continuous delivery.
- Monitoring & Alerting: Experience implementing and maintaining comprehensive monitoring, logging, and alerting solutions for Kubernetes clusters and applications (e.g., Prometheus, Grafana, ELK stack/OpenSearch, Datadog, Splunk).
- Logging & Tracing: Familiarity with centralized logging solutions and distributed tracing for effective debugging and performance analysis.
- DevOps & SRE Principles: Deep understanding of DevOps culture, Site Reliability Engineering (SRE) principles, and "you build it, you run it" philosophy.
- Version Control: Expert in Git and collaborative development workflows.
- Testing: Understanding of various testing methodologies (unit, integration, end-to-end) within the context of platform and pipeline development.
- Linux/Unix: Strong background in Linux system administration, including networking, file systems, process management, and troubleshooting.
- Networking Concepts: Solid understanding of core networking protocols (TCP/IP, DNS, HTTP, Load Balancing).
- Have current IAM Level II to satisfy DOD 8570 IAT requirement
- Active TS/SCI clearance with Counterintelligence polygraph
- Compensation is unique to each candidate and relative to the skills and experience they bring to the position. The salary range for this position is typically between $180,000-$200,000. This does not guarantee a specific salary as compensation is based upon multiple factors such as education, experience, certifications, and other requirements, and may fall outside of the above-stated range.
At Quantum Sky, we believe that success starts with our people. We foster a collaborative, innovative, and mission-driven environment where every team member plays a critical role in shaping the future of technology. Are you ready to join #TeamQuantumSky?
Quantum Sky Engineering LLC is an Equal Opportunity Employer; all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, [sexual orientation, gender identity,] national origin, disability, status as a protected veteran, or any characteristic protected by applicable law.
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