Senior Data & Cloud Engineer

Senior Data & Cloud Engineer About us: Indurex is an AI-native, engineering-first company focused on keeping complex cyber-physical systems resilient, safe, and secure. Our platform unifies safety, process, and cybersecurity data to deliver context-aware, AI-scored incidents and actionable recommendations - complementing existing SCADA/DCS, historians, and security tools. With headquarters in Amsterdam, Indurex partners with regional and global energy, manufacturing, utilities, data center, and pipeline operators to safeguard the systems that power and connect our world. We’re looking for a Senior Data & Cloud Engineer who can build and scale a cloud native data and AI platform. This role combines cloud engineering, data engineering, and DevOps. You’ll design infrastructure that supports real time analytics, industrial data processing, and AI/ML workloads across both cloud (AWS) and on prem environments. Your responsibilities will include: Cloud & On-premise Infrastructure Build and operate AWS and on prem infrastructure Use Terraform/CloudFormation for IaC Manage core AWS services (EC2, S3, Lambda, EKS, RDS) Work with AI/ML teams to optimize performance, cost, and reliability Both company infrastructure and deployment at customer location are your focus DevOps / Platform Engineering Build CI/CD pipelines (GitHub Actions, GitLab, Jenkins) Automate deployments, scaling, and monitoring (Kubernetes) Ensure high availability and system reliability Implement observability (logging, metrics, tracing) Data Engineering Build streaming and batch pipelines Work with industrial data sources (SCADA, historians, telemetry) Support real time analytics and ML pipelines Handle Kafka, ETL, data lakes/warehouses Security Implement secure cloud and on-prem architectures Manage IAM, secrets, encryption, network security Support ISO 27001 / SOC2 Embed DevSecOps practices Collaboration Work with software, AI/ML, security, and OT/ICS engineers Contribute to architecture decisions Mentor junior engineers Minimum of 5+ years of proven experience in a similar role Strong engineering mindset (build, automate, scale) Comfortable in fast-moving startup environment Ability to translate complex systems into scalable architecture and also on-premise Hands-on, pragmatic, and outcome-driven Must-have skills: Strong cloud experience (AWS) Infrastructure-as-Code; Terraform or CloudFormation CI/CD pipelines (GitHub Actions, GitLab, Jenkins) Containerization; Docker + Kubernetes Programming; Python or Go Building scalable data platforms; Kafka / streaming data Experience with both cloud + on‑prem infrastructure Strong DevOps mindset (automation, reliability, observability) Nice‑to‑Haves: Industrial/OT/ICS experience (SCADA, OPC, Modbus, PI Historian) Experience with AI/ML pipelines Cloud security expertise Experience in regulated environments