Associate Software Engineer

This job is with Cornerstone OnDemand, an inclusive employer and a member of myGwork – the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly.

Associate Software Engineer

Hybrid - Dublin, CA or Santa Monica, CA

Cornerstone is looking for high-potential engineers who are excited to build modern enterprise SaaS solutions and leverage AI to accelerate development, improve quality, and deliver meaningful customer outcomes. You will work on high-scale systems used by enterprise customers globally, with a focus on performance, reliability, and continuous innovation.

Through our Rotational Development Program, you'll rotate across two teams, gain hands-on experience working on impactful projects, and build strong technical foundations while helping advance our platform and capabilities.

As an Associate Software Engineer, you will contribute to core product development while helping shape our next generation of AI-powered capabilities.

In this role, you will...

• Build and integrate AI-powered capabilities, including intelligent features, assistants, and modern integration patterns (e.g., MCP, agent-to-agent workflows).

• Design and develop core features that improve customer experience, scalability, and platform reliability.

• Leverage AI-assisted development tools such as Cursor, Claude Code, and Amazon Q Developer to improve productivity, code quality, and testing.

• Write high-quality, scalable, and secure code that meets performance, reliability, and security standards.

• Diagnose and resolve customer-reported issues, contributing to defect reduction and customer trust.

• Collaborate across engineering, product, and design to build APIs, user experiences, and data models.

• Participate in agile development as part of a Scrum team, delivering incremental value in a fast-paced environment.

• Collaborate with senior engineers to build and integrate AI-powered features using modern frameworks and APIs.

• Explore and evaluate new AI tools, libraries, and approaches that can enhance product capabilities.

• Grow your skills through mentorship, code reviews, and hands-on collaboration with experienced engineers.

• Ensure delivered solutions improve product quality, performance, and customer experience.

You've got what it takes if you...

• Have 0-2 years of software development experience.

• Have a Bachelor's or Master's degree in Computer Science or a related field (or equivalent experience).

• Have foundational knowledge of backend development using modern programming languages and frameworks.

• Are familiar with frontend development using JavaScript and modern frameworks (e.g., React, Angular, or similar).

• Understand relational databases (e.g., SQL Server) and have exposure to NoSQL (e.g., MongoDB, Cassandra).

• Have familiarity with cloud development on AWS, including services such as AWS Lambda, Amazon ECS, Amazon S3, and exposure to building AI-powered applications using services such as Amazon Bedrock.

• Have exposure to event-driven systems (e.g., Kafka) as a plus.

• Demonstrate strong fundamentals in object-oriented design, debugging, and problem-solving.

• Have interest in building AI-powered applications, assistants, or integrations.

• Have a basic understanding of AI/ML concepts (e.g., LLMs, generative AI, or recommendation systems) as a plus.

• Have exposure to Python or common AI/ML libraries as a plus, but not required.

• Are committed to code quality, testing, and continuous improvement.

• Communicate effectively and collaborate well in a distributed team environment.

• Are eager to learn and grow in a fast-paced, team-oriented environment.

An extra dose of awesome if...

• You view AI as a force multiplier for both product innovation and engineering productivity.

• You have interest or familiarity with emerging AI patterns such as MCP, agent-to-agent workflows, or agent development kits.

• You take ownership, move with urgency, and follow through on outcomes.

• You are curious, resourceful, and continuously learning, especially in emerging AI technologies.