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Sr DevOps Engineer at RadiusAI, based out of Bengaluru, Karnataka, India - Onsite Role
Company Details:
RadiusAI, based in Tempe, Arizona, innovates retail through AI-driven solutions like Assisted Checkout and Real-time Inventory Management, maximizing ROI and enhancing customer experiences. Renowned for deploying scalable computer vision, it's recognized by NVIDIA, Lenovo, and Insight.
Job Roles & Responsibilities:
- Design and implement scalable cloud infrastructure using AWS, Azure, and GCP.
- Develop and maintain CI/CD pipelines with Terraform, Ansible, and Pulumi.
- Manage container orchestration with Kubernetes, AKS, and Rancher.
- Implement Apache Kafka solutions for real-time data processing.
- Develop automation scripts in Python for system integration.
- Optimize deployments for AI-driven retail analytics solutions.
- Collaborate with cross-functional teams to ensure seamless integration of cloud services.
- Monitor system performance and troubleshoot issues in real-time.
- Enforce security best practices across cloud platforms.
- Stay updated with the latest DevOps technologies and implement improvements.
Cultural Expectations:
- Collaborate effectively over time zones, embracing diversity and global teamwork.
- Passionate about AI-driven innovation and improving user experiences.
- Adapt rapidly to new challenges in a dynamic, fast-paced environment.
- Maintain transparency and open communication within multi-disciplinary teams.
Hiring Process:
R1: Profile Shortlisting
R2: Tech interview 1
R3: Tech interview 2
R4: Founder interview
Job ID: 141251457
Skills:
Unix, Prometheus, Bash, Grafana, Elk Stack, Jenkins, Git, Gcp, Linux, Docker, shell scripting, Terraform, Ansible, Azure, Kubernetes, Python, AWS, CI CD, GitLab CI, GitHub Actions
Skills:
python, Qgis, Postgis, PostgreSQL, Scripting, Sql, Fme, Etl, Trino SQL, Arcgis
Skills:
Cloudformation, ARM templates, Gcp, DevSecOps, Docker, Terraform, Azure, Kubernetes, AWS, Logging, Alerting, Observability, Monitoring
Skills:
Networking, Jenkins, Gcp, Docker, Linux, Ansible, Azure, Kubernetes, AWS, Docker Compose, Syft, CI CD pipelines, Grype, Backup and recovery workflows