DevOps Engineer – Data Infrastructure Cloud Infrastructure & Data Engineer

Join Our Team at Lean Solutions Group (LSG)!

Lean Solutions Group (LSG) is a next-generation solutions provider combining AI-driven automation, industry expertise, and tech-powered talent. Built in the demanding Supply Chain sector, our model now supports 600+ clients across multiple industries, powered by 10,000+ employees in five countries. We help businesses achieve immediate efficiency, long-term resilience, and scalable growth by integrating intelligent technology, optimized processes, and high-performance teams.

At LSG, we believe in your talent and your potential. Join a multicultural, people-first environment where you can grow, sharpen your skills, and unlock new career opportunities. Here, every day brings fresh challenges, collaboration, and purpose.

Our Mission: Transform business challenges into lasting success through purpose-built teams, technology, and expertise.

Our Vision: A world where people, empowered by technology, turn any challenge into a catalyst for growth.

Job Title Options

• Primary Title: Cloud Data Platform Engineer (Databricks / IaC)
• Alternative Titles: Senior DevOps Engineer – Data Infrastructure | Cloud Infrastructure & Data Platform Engineer

Job Description

Role Overview

We are seeking a Cloud Data Platform Engineer to own and scale our cloud infrastructure, with a core focus on supporting modern, data-intensive workloads. In this role, you won't just manage servers—you will build self-healing, code-driven cloud environments and optimize production data platforms like Databricks. You will collaborate directly with Data Engineering and DevOps teams to deliver frictionless CI/CD pipelines, robust Kubernetes deployments, and automated FinOps practices.

What You'll Do

• IaC & Automation: Design, provision, and maintain production-grade cloud environments using Infrastructure as Code (Terraform, Pulumi, or CloudFormation).
• Data Platform Operations: Architect, scale, and optimize high-throughput data platforms, specifically administering and tuning Databricks workspaces, clusters, and security policies.
• CI/CD & Containers: Build automated deployment workflows (GitHub Actions, GitLab CI) and manage container orchestration ecosystems using Docker and Kubernetes.
• Modern Cloud Ops: Implement proactive monitoring, distributed tracing, alerting, and automated self-healing mechanisms to maintain high availability.
• Cost & Security Governance: Drive continuous FinOps optimization to reduce cloud spend while enforcing zero-trust security and compliance standards across all environments.
• Incidence & Reliability: Troubleshoot complex performance bottlenecks across the stack and participate in platform reliability operations.

What We’re Looking For

• Experience: 4+ years of hands-on experience in Cloud Platform Engineering, DevOps, or SRE roles.
• Cloud Infrastructure: Deep expertise in AWS, GCP, or Azure alongside production-level Terraform, Pulumi, or CloudFormation experience.
• Data Platform Focus: Hands-on experience administering and provisioning Databricks environments for enterprise data teams.
• Containers & Orchestration: Strong knowledge of Docker and Kubernetes (EKS, GKE, or AKS) configuration and deployment.
• CI/CD: Proven track record creating automated delivery pipelines via GitHub Actions, GitLab CI, or Jenkins.
• Communication: Fluent written and spoken English.

Bonus Points (Nice-to-Haves)

• Databricks Certified Platform Architect/Engineer, or AWS/GCP Professional Architect certifications.
• Direct experience implementing FinOps automated cost-saving strategies (e.g., spot instances, auto-scaling policy optimization).
• Experience configuring data security controls (Unity Catalog, IAM role delegation, network isolation).