Senior Data & Cloud Engineer
- Hybrid
- Amsterdam, Netherlands
Job description
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
Job requirements
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
or
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