Pitisci & Associates
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DEVOPS ENGINEER

W2 CONTRACT

 

Our client is seeking a DevOps Engineer to join their team on a W2 Contract.

 

Required Skills & Experience:

·        6+ years in DevOps, Site Reliability, or Cloud Infrastructure Engineering roles.

·        Expertise in software development design patterns.

·        Familiarity with Generative AI and common application integration pattern (RAG, tool calling, agentic workflows)

·        Strong experience leading developers across multiple application workstreams in the application delivery lifecycle.

·        Expertise in Kubernetes administration (CKA, CKAD, or CKS certifications preferred).

·        Deep understanding of Linux system administration, troubleshooting, and hardening.

·        Solid knowledge of Docker and container orchestration.

·        Experience with Azure Cloud Services (AKS, Networking, Identity, Monitoring).

·        Strong understanding of networking fundamentals (TCP/IP, DNS, load balancing, firewalls, VPNs).

·        Proficiency in Bash scripting, Python, and JavaScript (React, Node.js).

·        Hands-on experience building and maintaining CI/CD pipelines (GitHub Actions preferred, Azure DevOps or Jenkins acceptable).

·        Strong troubleshooting skills across infrastructure, networking, and application layers.

·        Deep understanding of source code management with Git.

·        Familiarity with observability tools (Datadog, Prometheus, Grafana).

 

Preferred Qualifications

·        Kubernetes certifications (CKA, CKAD).

·        Familiarity with Infrastructure as Code (IaC) tools (Terraform, Bicep, Pulumi).

·        Experience supporting microservices architectures and service meshes (Istio, Linkerd).

·        Security knowledge (secrets management, network policies, RBAC, least privilege principles).

·        Experience in cloud-native SaaS environments.

·        Strong collaboration and mentoring skills within DevOps and development teams.

·        Experience collaborating on performance and load testing to identify application bottlenecks.

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