We're looking for a Civil 3D-proficient design engineer to support bid and project development for ground-mounted and rooftop solar PV projects. You'll work under the guidance of the Project Development Manager, helping turn site investigation (SI) reports and topographic surveys from clients into workable site development packages — grading and earthworks plans, drainage and retention pond designs, and piling method recommendations — that feed directly into technical bids and detailed design.
Kubernetes at scale. Operate and evolve large EKS clusters running CI workloads, ephemeral build and agent environments, and internal tools, including autoscaling, node lifecycle, networking, multi-tenancy, and cost.
AWS and Infrastructure as Code. Design and run production systems on AWS. Advanced Terraform, including reusable modules across large multi-account estates.
CI/CD ownership. Architect and maintain GitLab CI and self-hosted runners for fast, reliable, and secure delivery.
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You will be responsible for the complete technical deliverables in line with the project schedule complying with company quality standards and process. .
You will drive completion of all engineering activities on the project, collaborating with other teams i.e. Project Management, Supply Chain, HSE etc.
You will lead the technical discussions with customer and suppliers.
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Lead end-to-end project delivery, from technical discovery and solution scoping through on-premise deployment and final handover.
Work hands-on with CCTV / video surveillance environments — IP cameras, NVRs, video management systems (VMS), and live video feeds — to plan and execute AI Vision deployments across client sites.
Plan and oversee on-premise server and software deployment: hardware sizing, Linux environments, containers (Docker), networking, and security considerations, in partnership with our engineers.
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Build and lead the project delivery function: hire, mentor, and manage project managers; set delivery standards, playbooks, and KPIs.
Own portfolio-level delivery — timelines, budgets, quality — across all concurrent AI Vision, system integration, and enterprise deployment projects.
Personally lead the largest, most complex programs: CCTV / video surveillance rollouts, multi-site on-premise server and software deployments, and agentic AI initiatives (multi-agent orchestration systems, natural-language query layers over real-time vision event data, LLM tool-use and automation).
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