This position is posted by Jobgether on behalf of a partner company. We are currently looking for a DevOps Engineer in India.
This role is focused on building and maintaining reliable, scalable, and secure cloud infrastructure that powers fast and efficient software delivery. You will play a key part in designing and optimizing CI/CD pipelines that support continuous integration and deployment in a Microsoft Azure environment. Working at the intersection of development and operations, you will help automate infrastructure, improve system reliability, and enable smoother collaboration across engineering teams. The role requires a strong hands-on approach to cloud infrastructure, automation, and observability in production systems. You will also contribute to incident response, ensuring high availability and resilience for mission-critical applications. In addition, you will act as a technical mentor, helping elevate DevOps practices across the team. This is a high-impact role where engineering quality and delivery speed are both central priorities.
Accountabilities
- Design, implement, and maintain CI/CD pipelines using GitLab CI/CD and GitHub Actions to automate build, test, and deployment processes.
- Ensure reliable, secure, and scalable software delivery through version control, rollback strategies, and release automation.
- Build and manage Azure-based infrastructure using Infrastructure as Code tools such as Terraform and ARM templates.
- Maintain and optimize cloud resources including compute, networking, storage, and databases for performance, cost, and security.
- Implement end-to-end monitoring, logging, and alerting systems to ensure system health, uptime, and observability.
- Lead incident response activities, troubleshoot production issues, and drive long-term reliability improvements.
- Develop automation scripts using Bash, PowerShell, or Python to eliminate manual operational tasks.
- Integrate security and compliance best practices into CI/CD pipelines and cloud infrastructure management.
- Collaborate with development, QA, and operations teams to strengthen DevOps culture and improve delivery workflows.
- Mentor junior engineers and contribute to knowledge sharing, code reviews, and DevOps best practices adoption.
Requirements
- 5+ years of experience in DevOps or Site Reliability Engineering roles supporting production environments.
- Strong hands-on experience with CI/CD tools such as GitLab, GitHub Actions, Jenkins, or Azure DevOps.
- Deep expertise in Microsoft Azure cloud services including compute, storage, networking, and security components.
- Solid experience with Infrastructure as Code tools such as Terraform and Azure Resource Manager templates.
- Strong knowledge of containerization and orchestration technologies like Docker and Kubernetes.
- Proficiency in scripting languages such as Bash, PowerShell, or Python for automation and tooling.
- Experience with monitoring and observability tools such as Azure Monitor, Prometheus, Grafana, ELK, or Datadog.
- Good understanding of networking fundamentals (TCP/IP, DNS, VPN, firewalls) and cloud security practices.
- Strong communication and collaboration skills with the ability to work across technical and non-technical teams.
- Ability to perform under pressure, especially during production incidents, with strong troubleshooting skills.
- Leadership and mentoring mindset with a focus on continuous improvement and team development.
- Bachelor's degree in Computer Science, Engineering, or equivalent experience.
- Azure DevOps Engineer Expert or other cloud certifications are a plus.
Benefits
- Opportunity to shape DevOps practices and influence cloud infrastructure strategy.
- Strong focus on automation, modern tooling, and engineering excellence.
- Exposure to enterprise-scale Azure cloud environments and mission-critical systems.
- Career growth opportunities through mentoring, leadership, and technical ownership.
- Supportive engineering culture focused on collaboration and continuous improvement.
- Opportunity to work on high-impact systems improving delivery speed and reliability.
- Learning environment with exposure to modern DevOps tools and cloud technologies.
How Jobgether Works
We use an
AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.
We appreciate your interest and wish you the best!
Why Apply Through Jobgether
Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
