DevOps Engineer

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.

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.

Qualifications

• 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.

We would love to hear from you if you are passionate about DevOps and have the required skills and experience.