Chief DevOps Architect
1 week ago
We are seeking an experienced DevOps Specialist to join our team at IT Resource Hunter.
This is a unique opportunity for someone with expertise in building and managing complex systems, ensuring seamless deployment, maintenance, and upgradation of applications across multiple environments. If you have hands-on experience with full-stack DevOps activities, including code management, continuous integration, and continuous delivery, we'd love to meet you.
- Key Responsibilities:
- Design and implement scalable infrastructure on-premise or dedicated cloud environments using Linux-based technologies.
- Develop and maintain effective automation processes for development and release pipelines.
- Evaluate and recommend system improvements to ensure high security standards.
- Analyze and resolve technical issues efficiently.
- Collaborate with software developers and engineers to ensure smooth deployment processes.
- Contribute to project planning and decision-making as part of the project management team.
- Manage and automate deployment environments for new and existing systems.
- Promote a DevOps culture focused on quality delivery.
- Create comprehensive documentation, such as guidelines, best practices, how-to guides, FAQs, etc.
- Stay updated with emerging technologies and suggest enhancements to maximize deployment efficiency.
Requirements:
- A minimum of 8 years of experience in DevOps, DevSecOps, or Linux System Administration.
- You should be a seasoned Senior DevOps engineer with a focus on creating user-friendly systems.
- Experience working on projects involving collaboration with multiple teams is essential.
- Strong understanding of architectural approaches, testing, and performance optimization for production-level deployments.
- Passion for designing scalable and composable systems that last long-term.
Preferred Requirements:
- Hands-on experience with CI-CD tools like Jenkins, Ansible, or Puppet on premise or dedicated cloud infrastructure.
- Familiarity with setting up distributed clustered servers (e.g., .Net, Node.js, Elastic) and databases.
- Proficiency with Source Control Systems like Azure, GitHub, or Artifactory.
- Knowledge of Microservice Deployments using Docker or Kubernetes.
- Understanding of SaaS or Cloud-based Architectures.
- Experience with OS like Windows and Linux, and Databases like SQL Server, Postgres, MongoDB.
- Familiarity with Single Signon tools and Identity and Access Management for SaaS platforms.
Nice To Have Requirements:
- DBA experience with SQL Server, Postgres, or MongoDB.
- Knowledge of ML Ops.
- Hands-on experience with deploying and managing Machine Learning Applications.
Salary Range: ₹1,200,000 - ₹1,800,000 per annum, depending on experience and qualifications.
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