ShepHertz - Lead DevOps Engineer - Cloud Infrastructure

Job Title : DevOps Lead.

Location : Gurgaon ( In office) Experience : 8+ years.

Type : Full-time Job Summary : We are seeking a highly experienced and strategic DevOps Lead to drive the development and execution of our DevOps roadmap and manage critical production environments.

The ideal candidate will have deep technical expertise in modern DevOps toolsets, cloud infrastructure (with a focus on Azure), containerization, microservices, and high-availability systems Responsibilities :

• Define and implement the overall DevOps strategy, including tooling, infrastructure automation, and deployment pipelines.
• Lead and mentor a DevOps team, ensuring best practices and continuous improvement.
• Architect and maintain CI / CD pipelines for scalable microservices-based applications.
• Design and manage multi-site, high-traffic, high-availability, and high-performance infrastructure.
• Own the production environment ensuring 24 / 7 uptime, reliability, scalability, and cost optimization.
• Perform capacity planning, monitoring, and performance tuning to handle concurrent users and peak loads efficiently.
• Implement infrastructure as code (IaC) and automate provisioning across cloud environments.
• Managing Applications developed in Node.js, Python, Machine Learning and AI.
• Experience with LLMs will be a big plus.
• Collaborate with software architects to ensure systems are designed for scalability and fault tolerance.
• Establish DevSecOps practices for integrating security and compliance into the delivery Skills and Experience :
• 8+ years of DevOps experience with a proven track record in strategy, execution, and leadership.
• Strong hands-on experience with CI / CD tools such as Jenkins, GitLab CI, Azure DevOps, CircleCI, or GitHub Actions.
• Proficiency in containerization and orchestration tools like Docker and Kubernetes.
• Deep understanding of Microservices architecture and deployment best practices.
• Expertise with major cloud providers, particularly :

o Microsoft Azure (strongly preferred)

o AWS

o GCP.

Prometheus, Grafana, ELK Stack (Elasticsearch, Logstash, Kibana), Datadog, New Relic, Azure Monitor, App Insights, Splunk, Loki.

a. SIEM tools : Azure Sentinel, Splunk, IBM QRadar.

b. Intrusion Detection & Prevention Systems (IDS / IPS) : Snort, Suricata, OSSEC, AWS GuardDuty, Azure Defender.

c. Vulnerability Scanning and Management : Nessus, Qualys, OpenVAS.

(ref : hirist.tech)