Lead DevOps Engineer

Engineo · IT Consulting & Digital Transformation · Enterprise Apps Implementation Partners · Python · Bash · 2 days ago
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Location
In office (Gurgaon)
Seniority
Staff · 8+ years exp

First seen by Alion on Oct 25, 2026.

Overview
Company
Impact
Profile match

Engineo

Engineo is an Indian technology implementation company that provides travel and expense management software implementation, ERP consulting and custom software services. It works with clients such as JCB, Duroflex and Muthoot Microfin, and runs software development, quality assurance and Oracle consulting teams. The company has offices in India, the United Arab Emirates, Bahrain and Canada. The company is headquartered in Gurgaon, Haryana, India.
engineo.solutions · HQ: Gurgaon, India · IT Consulting & Digital Transformation · Enterprise Apps Implementation Partners · 51-200 employees · Est. 2019
Tech stack of Engineo

Requirements:

  • Education: Bachelor's degree in computer science, information technology, or a related field.
  • Experience: 6-8 years of experience in Cloud Engineering, DevOps, Site Reliability Engineering, or a similar role.
  • Cloud Platform Expertise: Proven, hands-on experience managing and operating production workloads in multiple major cloud platforms (AWS, Azure, and GCP). Cloud certifications (AWS Solutions Architect/DevOps Engineer, Azure Administrator/DevOps Engineer, or GCP) are a plus.
  • Multi-Cloud Exposure: Demonstrated experience across multiple cloud platforms, including AWS, Azure, and GCP. Strong understanding of platform-specific services and best practices.
  • Infrastructure Management: Strong fundamentals in Linux/Unix operating systems and scripting languages (e. g., Bash, Python).
  • Networking and Storage: Solid understanding of core networking concepts (TCP/IP, DNS, HTTP, VPNs) and cloud storage solutions
  • DevOps Tools: Expertise with IaC tools (Terraform preferred) and configuration management tools (e. g., Ansible, Chef, Puppet).
  • CI/CD: Practical experience designing, building, and maintaining automated CI/CD pipelines.
  • Containerisation: Experience with container technologies like Docker and orchestration platforms like Kubernetes (EKS, AKS, and GKE).
  • Good to have experience in serverless architectures (AWS Lambda, Azure Functions, and Google Cloud Functions).
  • Security tools and practices in the cloud (e. g., WAF, identity and access management).

Skills

AWS, Azure, DevOps, GCP, SRE, Terraform, site reliability

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