DevOps Engineer
2 days ago
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.
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