Software Engineer

Who We Are

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 to support security programs such as executive protection, threat intelligence, and corporate investigations. Learn more at or follow us on LinkedIn.

About the Role

We are looking for a passionate Software Engineer who enjoys solving complex engineering problems and building scalable backend systems. You will work on high-scale distributed applications, contribute across the product lifecycle, and collaborate with cross-functional teams to deliver impactful features. If you are curious, enjoy learning new technologies, and thrive in a fast-paced product environment, we'd love to hear from you.

What You'll Do

• Design, develop, and maintain scalable backend services using Java and Spring Boot.
• Build high-performance applications capable of processing large volumes of data.
• Design and optimize APIs, data models, and backend architecture.
• Work with Elasticsearch and MongoDB to build efficient search and data storage solutions.
• Collaborate with Product, Engineering, and QA teams throughout the product lifecycle.
• Troubleshoot production issues and continuously improve application performance and reliability.
• Participate in code reviews and contribute to engineering best practices.
• Take ownership of features from design through deployment and support.

What We're Looking For

• 2–5 years of professional experience in backend software development.
• Strong proficiency in Java and Spring Boot.
• Experience working with Elasticsearch and MongoDB.
• Experience building applications that handle high-scale or high-volume data.
• Strong algorithmic thinking and problem-solving skills.
• Ability to work independently and take ownership of deliverables.
• Passion for learning new technologies and adapting quickly.
• Experience managing features throughout the complete product lifecycle.

Nice to Have

• Experience with distributed systems and microservices architecture.
• Knowledge of cloud platforms (AWS, Azure, or GCP).
• Experience with messaging systems such as Kafka or RabbitMQ.
• Familiarity with containerization technologies like Docker and Kubernetes.
• Experience with CI/CD pipelines and DevOps practices.

What Makes You Successful

• Curious about how systems work and eager to share knowledge.
• Strong analytical and debugging skills.
• Self-driven with the ability to navigate ambiguity.
• Passionate about building scalable, high-quality software.
• Focused on delivering results in a fast-paced product environment

Ontic Benefits & Perks

• Competitive Salary
• Medical Benefits
• Internet Reimbursement
• Home Office Stipend
• Continued Education Stipend
• Festive & Achievement Celebrations
• Dynamic Office Environment

Don’t meet every single requirement? Studies have shown that women and people of color are less likely to apply to jobs unless they meet every single qualification. At we are dedicated to building a diverse, inclusive and authentic workplace, so if you’re excited about this role, we encourage you to apply anyways. You may be just the right candidate for this or other roles.

Ontic prioritizes the full inclusion of qualified individuals, providing necessary accommodations for those with disabilities to perform essential job functions. If you need assistance during the application or interview process or job tasks, please contact us at [email protected] or call (512) 572-7400

• 2–5 years of professional experience in backend software development.
• Strong proficiency in Java and Spring Boot.
• Experience working with Elasticsearch and MongoDB.
• Experience building applications that handle high-scale or high-volume data.
• Strong algorithmic thinking and problem-solving skills.
• Ability to work independently and take ownership of deliverables.
• Passion for learning new technologies and adapting quickly.
• Experience managing features throughout the complete product lifecycle.
• Experience with distributed systems and microservices architecture.
• Knowledge of cloud platforms (AWS, Azure, or GCP).
• Experience with messaging systems such as Kafka or RabbitMQ.
• Familiarity with containerization technologies like Docker and Kubernetes.
• Experience with CI/CD pipelines and DevOps practices.