DevOps Engineer II

Position Summary:

We are looking for an experienced DevOps Engineer to design, build and operate scalable, reliable, and secure CI/CD and cloud infrastructure platforms (GCP). The ideal candidate should be proficient in designing, maintaining and optimizing CI/CD pipelines, Terraform Automations, third party tool integrations, and orchestration framework

Primary Responsibilities:

CI/CD & Automation:

• Automate build, test, and deployment workflows.


• Implement code quality checks, security scans, and artifact management.


• Manage environmental promotion and rollback strategies.


• Integrate monitoring and observability for deployments.


• Ensure compliance and governance in pipeline operations.

Cloud and Infrastructure Management:

• Provision and manage infrastructure using Infrastructure as Code (IaC).


• Manage environments (dev, test, prod).


• Ensure scalability, availability, and resilience.

Containerization & Orchestration:

• Build and manage Docker images.


• Deploy and operate applications on Kubernetes.


• Support container security and best practices.

Reliability and Operations:

 Governance, Security & Compliance

Continuous Improvement

 Enablement & Collaboration

Qualifications

• 4+ years of DevOps or Platform Engineering in GCP/AWS environments.


• Minimum 2 years of experience working in GCP environments.


• Working with GCP services, such as - Dataproc, Dataflow, Dataplex, Cloud Storage, BigQuery, Cloud   Composer, Pub / Sub, Dataflow, Cloud functions.


• Knowledge of best practices in cloud security, Infrastructure as code (IaC), CI/CD pipelines, and engineering excellence.


• Proficiency with third party tool integrations like DBT and Airflow.


• Strong analytical and debugging skills for troubleshooting issues in distributed, high-volume environments.


• Python scripting and SQL for diagnostics, data movement, and automation.


• Familiarity with Confluent Kafka, API Management.


• Experience implementing observability, error budgets, SRE principles, and reliability metrics.