DevOps Engineer - CI/CD Pipeline

Designation: Senior DevOps Engineer/ DevOps Engineer

JD: Key Responsibilities :

CI/CD Pipeline Development and Management :

• Design, build, and maintain CI/CD pipelines using Jenkins, GitLab CI, or similar tools.

• Automate deployment processes for microservices and containerized applications across multiple environments.

• Ensure high availability and rollback capabilities for production deployments.

Infrastructure as Code (IaC) :

• Develop and maintain infrastructure provisioning scripts using tools like Terraform or CloudFormation.

• Implement configuration management solutions with Ansible, Puppet, or Chef.

• Ensure infrastructure scalability, reliability, and security for on-prem and cloud environments.

Scripting and Automation :

• Write and optimize scripts using Python, Bash, or PowerShell for automating operational tasks.

• Build custom tools to streamline repetitive DevOps workflows.

• Implement monitoring and alerting automation to proactively address system issues.

Database Management :

• Collaborate with database administrators to manage and optimize SQL and NoSQL databases (e.g.,

PostgreSQL, MongoDB).

• Implement automated database backup, restoration, and performance monitoring solutions.

• Ensure secure handling of database credentials and access through tools like HashiCorp Vault.

Performance Monitoring and Optimization :

• Integrate monitoring tools like Prometheus, Grafana, or ELK stack for observability.

• Conduct root-cause analysis for incidents and implement fixes to avoid recurrence.

• Optimize application performance by fine-tuning DevOps processes and infrastructure.

Collaboration and Team Support :

• Partner with development, QA, and operations teams to align DevOps practices with business goals.

• Support developers by troubleshooting build and deployment issues.

• Share best practices and mentor junior team members in DevOps methodologies.

Technical Skills and Qualifications :

Education :

• Bachelor's degree in Computer Science, IT, or related field.

Core Skills :

• Messaging Queues : Proficiency with Kafka and other messaging queue systems for real-time data streaming.

• CI/CD Tools : Expertise in Jenkins, GitLab CI/CD, or similar tools for automation pipelines.

• Scripting : Strong proficiency in Python, Bash, or PowerShell scripting for automation.

• Cloud Platforms : Hands-on experience with AWS, Azure, or Google Cloud.

• Containerization : Proficiency with Docker and Kubernetes for managing containerized applications.

• IaC Tools : Expertise in Terraform, CloudFormation, or similar tools for infrastructure provisioning.

• Monitoring : Experience with Prometheus, Grafana, ELK stack, or equivalent monitoring solutions.

• Database Management : Familiarity with both SQL and NoSQL databases (e.g., PostgreSQL, MongoDB).

• Messaging Queues : Expertise in Kafka for high-throughput data pipelines.

• Knowledge of Helm charts for Kubernetes application deployments.

• Experience with MLOps pipelines for AI/ML workload integration.

• Familiarity with GitOps tools like ArgoCD or FluxCD for declarative infrastructure management.

• Proficiency in implementing service meshes like Istio for microservices.

Soft Skills :

• Strong analytical and troubleshooting skills.

• Excellent communication abilities to collaborate with cross-functional teams.

• Commitment to continuous learning and knowledge sharing.