DevOps Engineer – Data Infrastructure Cloud Infrastructure & Data Engineer

Lean Solutions Group; Philippines; On-site; PHP 1,200,000 - 1,800,000; Full time

Job summary

Lean Solutions Group (LSG) is seeking a Cloud Data Platform Engineer to own and scale our cloud infrastructure, focusing on data-intensive workloads and Databricks administration. You will collaborate with Data Engineering and DevOps to deliver scalable CI/CD pipelines, robust Kubernetes deployments, and self-healing cloud environments.

The ideal candidate has 4+ years in Cloud Platform Engineering or SRE roles, deep experience with AWS/GCP/Azure and IaC tools, and strong English communication

Qualifications

• 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.

Responsibilities

• 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, administering 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.

Skills

4+ years in Cloud Platform Engineering

AWS/GCP/Azure

Databricks administration

Docker & Kubernetes

GitHub Actions / GitLab CI / Jenkins

English communication

Tools

Terraform

Pulumi

CloudFormation

Databricks

Docker

Kubernetes

GitHub Actions

GitLab CI

Job description

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).