Speedata is modernizing analytics infrastructure with the first purpose-built ASIC processor, the Analytics Processing Unit (APU), for analytics and AI data workloads.
Delivering up to 100x faster Apache Spark performance while cutting infrastructure TCO by 90%, the APU executes analytics operations directly in silicon with seamless integration and no code changes.
We're looking for the best DevOps Engineer to join us!
Requirements:
- 7+ years of experience as a DevOps Engineer.
- 4+ years of experience with Docker and Kubernetes.
- Deep understanding of software development - build and deployment workflows.
- Proven Scripting/Python programming skills.
- Experience building CI/CD pipelines.
- Excellent problem-solving, troubleshooting, and communication skills
Advantages
- Extensive hands-on experience with Linux systems.
- Experience with configuration management tools like Ansible.
- Knowledge of SQL and Databases.
Responsibilities:
- Collaborate closely with development teams to streamline processes.
- Design, build and operate Kubernetes infrastructure and orchestration in Production.
- Design, implement, and maintain automation workflows, scripts, and CI/CD pipelines.
- Ensure infrastructure and application reliability, observability, performance, and security.