Senior DevOps Engineer - ONLY W2

Overview

Remote
$55 - $62
Contract - Independent
Contract - W2
Contract - 12 Month(s)

Skills

DevOps
AZURE
IaaS
Kubernetes
Terraform
Python

Job Details

Senior DevOps Engineer ( GitHub Actions, Azure IaaS, Kubernetes & Terraform)

Remote

6 Months

Experience: 8+ Years

<>Note: This role works only on W2. C2C profiles will NOT be considered for this role.</>

Job Description

We are looking for a hands-on Senior DevOps Engineer with strong expertise in building and managing scalable, secure, and automated cloud-based data platforms. The ideal candidate should have a solid background in data engineering coupled with deep experience in DevOps and infrastructure automation.

Required Skills & Experience:

  • Strong hands-on experience with GitHub Actions, Azure IaaS, Kubernetes, and Terraform (must-have).
  • Expertise in data pipeline development using tools such as PySpark, Databricks, or Azure Data Factory.
  • Proficiency in SQL and one programming language (Python preferred).
  • Understanding of data lake, data warehouse, and streaming architectures.
  • Exposure to monitoring, logging, and cost optimization in Azure environments.
  • Strong problem-solving ability and an automation-first approach to data engineering.

Job Responsibilities

Key Responsibilities:

  • Design, build, and automate data pipelines and orchestration workflows using GitHub Actions for CI/CD of data jobs and infrastructure components.
  • Architect and manage Azure IaaS resources supporting data workloads (VMs, Storage, Networking, Security, Monitoring).
  • Deploy and operate Kubernetes clusters for hosting containerised data services and workloads (Spark, Airflow, Kafka, etc.).
  • Implement Infrastructure as Code (IaC) with Terraform for provisioning data environments and ensuring consistency across stages.
  • Collaborate with data scientists, analysts, and platform teams to optimize data flow, performance, and scalability.
  • Enforce governance, reliability, and automation best practices across the data ecosystem.
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