Senior Data & Cloud Engineer

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.

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