Associate DevOps Engineer

Ontic•Austin, TX

4d•$100,000 - $115,000•Hybrid

About The Position

Ontic provides software that helps corporate and government security teams identify threats, assess risk, and respond faster to keep people and organizations safe. Its AI-powered Connected Intelligence Platform unifies security operations and data into a centralized system of record, enabling organizations to conduct risk assessments, protect against workplace violence, and manage threats and incidents more efficiently. Fortune 500 companies and federal agencies rely on Ontic to support security programs such as executive protection, threat intelligence, and corporate investigations. Learn more at ontic.ai or follow us on LinkedIn. As an Associate DevOps Engineer at Ontic, you will join our growing engineering team to help bridge the gap between development and operations. This is an entry-level role designed for a motivated graduate to learn the ropes of maintaining high-level security and reliability for our cloud-based services. You will support our team in cloud initiatives and ongoing service maintenance. As an integral part of our global team, you will collaborate closely with DevOps professionals in the U.S. and India, contributing to projects while building your technical expertise in a supportive, growth-oriented environment.

Requirements

Bachelor’s degree in Computer Science or related field (0-1 years of experience)
Foundational knowledge of Linux, Networking, scripting and OS concepts
Understanding of cloud platforms (AWS/GCP/AZURE)
Understanding of Python
Understanding of DevOps tools (Docker, Jenkins, Git, Docker/containers, Kubernetes) through internships or projects
Exposure to AI concepts/tools
Strong curiosity and eagerness to learn new technologies and domains
Receptive to feedback and coaching, with a growth-oriented attitude
Collaborative, detail-oriented, and dependable

Responsibilities

Collaborate with the global DevOps team to maintain and troubleshoot infrastructure across cloud environments (AWS/GCP).
Learn and implement automation scripts (Python/Bash) to improve operational efficiency.
Support CI/CD pipeline tasks, gaining hands-on experience with tools like Jenkins, Docker, and Kubernetes.
Monitor application and server health, learning to identify, analyze, and resolve system issues.
Explore the integration of AI tools and concepts into our DevOps workflows.
Maintain and update documentation for systems, processes, and infrastructure.