Deployment Engineer

IT Labs, LLC; Singapore; On-site; SGD 60,000 - 90,000; Full time

Benefits offered by this job

Paid time off (PTO)

Long-term collaboration possibilities

Job summary

A technology consulting firm in Singapore is seeking a skilled Deployment Engineer to support cutting-edge AI-driven engineering solutions. You will be responsible for deploying and managing infrastructure solutions, primarily utilizing Kubernetes across various environments. The ideal candidate will have experience with Infrastructure-as-Code tools and strong client-facing skills. This full-time position offers a long-term contract with benefits, including PTO, and the possibility for extension.

Qualifications

• Proven experience deploying and managing Kubernetes clusters (AWS, Azure, on-premise).
• Deep expertise with Infrastructure-as-Code tools such as Crossplane, Terraform, and Helm.
• Strong understanding of networking, security, and observability in containerized environments.

Responsibilities

• Partner with clients to assess infrastructure requirements and deployment preferences.
• Design and implement deployment strategies for Kubernetes clusters.
• Troubleshoot complex deployment issues.

Skills

Deployment and management of Kubernetes clusters

Azure expertise

Infrastructure-as-Code (Terraform, Helm, Crossplane)

Strong communication

Problem-solving skills

Job description

At IT Labs, we’re looking for a hands‑on Deployment Engineer to join our team supporting a cutting‑edge deeptech client that’s revolutionizing engineering through AI. This company is building an AI‑powered simulation software stack that enables faster, smarter innovation across industries like Aerospace, Automotive, Energy, and Semiconductors.

In this role, you’ll be a key bridge between our engineering teams and the client, owning the end‑to‑end deployment of infrastructure solutions. You’ll collaborate closely with stakeholders to understand complex requirements and constraints, ensuring smooth adoption of scalable, secure, and observable systems that support advanced AI‑driven workflows.

This is a deeply technical role that blends infrastructure expertise with strong communication and relationship‑building skills. You’ll act as a trusted advisor, guiding clients through complex deployments while collaborating internally to ensure our solutions meet real‑world challenges.

What You’ll Do

• 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!

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.
• PTO provided.
• A background check will be executed if approved to be hired.