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DevOps Engineer
2 weeks ago
Note: GCP Experience is Mandatory.
A bachelor's degree in computer science, software engineering, or a related discipline. An advanced degree (e.g., MS) is preferred but not required. Experience is the most relevant factor.
- Strong software engineering foundation with deep understanding of OOP/OOD, functional programming, data structures and algorithms, software design patterns, code instrumentations, etc.
- 5 + years proven experience with Python, Bash, PowerShell, JavaScript, C#, and Golang (preferred).
- 5 + years proven experience with CI/CD tools ( Azure DevOps and GitHub Enterprise ) and Git ( version control, branching, merging, handling pull requests) to automate build, test, and deployment processes
- 5+ years of hands-on experience in security tools automation SAST/DAST (SonarQube, Fortify, Mend) , monitoring/logging (Prometheus, Grafana, Dynatrace ), and other cloud-native tools on GCP.
- 5 + years of hands-on experience in using Infrastructure as Code ( IaC ) technologies like Terraform, Puppet, Azure Resource Manager (ARM), AWS CloudFormation, and Google Cloud Deployment Manager.
- 2+ years of hands-on experience with cloud-native services, including Data Lakes, CDN, API Gateways, Managed PaaS, and Security, on multiple cloud providers such as AWS, Azure, and GCP, is preferred.
- Strong understanding of methodologies like XP, Lean, and Sand AFe to deliver high-quality products rapidly.
- General understanding of cloud providers' security practices, database technologies, and maintenance ( e.g., RDS, DynamoDB, Redshift, Aurora, Azure SQL, Google Cloud SQL )
- General knowledge of networking, firewalls, and load balancers.
- A strong preference will be given to candidates with experience in AI/ML and GenAI.
- Excellent interpersonal and organizational skills, with the ability to handle diverse situations, complex projects, and changing priorities, behaving with passion, empathy, and care.
