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Jobs(38,923)/DevOps Engineer Role(214)/IT Labs (6) - Deployment Engineer
IT Labs

IT Labs - Deployment Engineer

Los Angeles, California, USA2mo ago
In OfficeNACloud ComputingDevOps EngineerB2BKubernetesAWSAzureCoaching

Requirements

• Proven experience deploying and managing Kubernetes clusters (AWS, Azure, on-premise). • Deep expertise with Azure and Infrastructure-as-Code tools such as Crossplane, Terraform, and Helm. • Strong understanding of networking, security, and observability in containerized environments. • Proven success in client-facing roles with excellent communication and stakeholder management skills. • Ability to explain complex technical concepts to both technical and non-technical audiences. • Strong problem-solving skills and a customer-first mindset. • Self-motivated, organized, and effective at managing multiple priorities. • Bonus: Experience in customer success, solutions engineering, or regulated/high-security environments. • Working conditions: • Long-term 12-month contract with possibility for extension and long-term collaboration • Full-time arrangement (40h per week), • Choose your contract: Contract or B2B, • A background check will be executed if approved to be hired. • We are a company that seeks the best for both our employees and clients, reaching beyond expectations in turning dreams into reality. Our way of working is rooted in our core values (Integrity, Excellence, Proactivity, Innovation, and People), with an expectation that our future colleagues will make these their second nature in their everyday work and life. We don’t ask for perfection, but we do appreciate people motivated to better themselves in every conceivable aspect.

Responsibilities

• Partner directly with clients to assess infrastructure requirements, security constraints, and deployment preferences. • Design and implement deployment strategies for Kubernetes clusters across AWS, Azure, and on-premise environments. • Serve as the primary technical point of contact throughout the deployment lifecycle. • Troubleshoot complex deployment issues, distinguishing between infrastructure and application-level concerns. • Act as a system validator to ensure our solutions function seamlessly within client environments. • Gather client feedback to inform internal development priorities. • Continuously apply and improve deployment best practices and coach peers in their adoption. • If you're excited about working in a fast-paced, AI-focused environment where your contributions directly impact the future of engineering, we’d love to hear from you!

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