Azalio
Devops
Delhi·Full Time·On-site·4-6 years
AWSAzureGoogle Cloud PlatformDockerKubernetesJenkinsTerraformAnsiblePuppetChefLinuxBash scriptingPythonCI/CD pipelinesMonitoringLoggingGitInfrastructure as CodeNetworkingSecurityAgile methodologiesCloudFormationPrometheusGrafanaELK StackMicroservicesAutomationConfiguration Management
Role Overview
Devops
Location: Delhi, India
Employment Type: Full Time
Experience Level: 4-8 years
- We are seeking a skilled and motivated DevOps Engineer to join our dynamic team in Delhi. The ideal candidate will be responsible for designing, implementing, and maintaining scalable CI/CD pipelines, automating infrastructure, and managing containerized environments across multiple cloud platforms. This role requires strong expertise in cloud technologies, container orchestration, automation tools, and infrastructure as code, with a focus on delivering reliable, secure, and efficient software deployment processes.
- The DevOps Engineer will collaborate closely with development, QA, and operations teams to streamline software delivery, enhance system reliability, and support continuous improvement initiatives in a fast-paced Agile environment.
Required Qualifications and Experience
Soft Skills
- Excellent problem-solving and analytical abilities.
- Strong communication and interpersonal skills to collaborate effectively with cross-functional teams.
- Ability to work independently and manage multiple priorities in a fast-paced environment.
- Proactive attitude towards continuous learning and process improvement.
Adaptability and willingness to participate in
What You Will Do
- Design, develop, and maintain robust CI/CD pipelines to automate application build, test, and deployment processes.
- Manage and optimize container orchestration platforms such as Kubernetes and container runtimes like Docker.
- Implement and maintain infrastructure automation using tools like Terraform, Ansible, Puppet, and Chef.
- Administer and troubleshoot Linux environments, including scripting with Bash and Python to automate routine tasks.
- Configure and manage cloud infrastructure on AWS, Azure, and Google Cloud Platform using native services and CloudFormation.
- Monitor system health and application performance using tools such as Prometheus, Grafana, ELK Stack, and implement alerting and logging solutions.
- Manage source code repositories and branching strategies using Git, ensuring smooth collaboration and version control.
- Collaborate with cross-functional teams to define deployment strategies, rollback plans, and operational runbooks.
- Lead integration, testing, and release activities to ensure high-quality production deployments.
- Ensure security best practices are integrated into deployment pipelines and infrastructure configurations.
- Participate in incident response, root cause analysis, and continuous improvement of deployment and monitoring processes.
- Support configuration management and lifecycle management activities for infrastructure and applications.
- Document processes, standards, and procedures to maintain operational excellence and knowledge sharing.
- Work in an Agile environment, participating in sprint planning, retrospectives, and continuous delivery initiatives.
Skills and Experience
- Proficient with cloud platforms: AWS, Azure, Google Cloud Platform (GCP).
- Strong experience with containerization and orchestration: Docker, Kubernetes.
- Hands-on expertise in CI/CD tools: Jenkins, GitLab CI/CD, GitHub Actions.
- Infrastructure as Code (IaC) tools: Terraform, CloudFormation, Ansible, Puppet, Chef.
- Linux system administration and scripting skills using Bash and Python.
- Monitoring and logging tools: Prometheus, Grafana, ELK Stack (Elasticsearch, Logstash, Kibana).
- Version control and branching strategies using Git.
- Networking fundamentals including TCP/IP, DNS, HTTP/HTTPS, load balancing, routing, and security best practices.
- Experience with microservices architecture and automation of deployment workflows.
- Familiarity with Agile methodologies and collaborative development environments.
How We Work
Ownership-led delivery
We expect every team member to understand the problem, take responsibility and follow through.
Architecture-grounded engineering
Design is validated before implementation begins. Standards and governance are embedded throughout.
Evidence over assumption
Delivery is supported by documentation, runbooks, test results and acceptance evidence.
Continuous improvement
Lessons from every engagement are captured and reused across practices and programs.
Application Process
- 1Submit your application with CV and cover note below
- 2Our team will review your background and reach out within a reasonable timeframe
- 3Initial conversation to understand your experience and explore mutual fit
- 4Technical and role discussion with the practice team
- 5Offer and onboarding