Senior Software Engineer, AI

## About the Role As a Senior Software Engineer, AI at Synack, you'll play a pivotal role in designing and building cutting-edge, AI-centric systems tailored for the offensive security sector. This is a unique opportunity to drive product innovation at the intersection of AI and cybersecurity, leading by example and mentoring junior engineers. The role is part of a talented team that has made significant contributions to the security landscape, with a strong commitment to technical excellence and continuous improvement.

The day-to-day responsibilities will involve collaborating closely with cross-functional teams to integrate AI capabilities into broader systems and applications. Your expertise will be crucial in driving the development of agentic AI capabilities for identifying vulnerabilities, automating penetration testing processes, workflow optimization, and enhancing threat intelligence. Given the remote nature of the role, strong communication and collaboration skills are essential, along with the ability to thrive in a collaborative environment involving different stakeholders and subject matter experts.

Synack's Penetration Testing as a Service platform has already uncovered more than 71,000 exploitable vulnerabilities, protecting a growing list of Global 2000 customers and U.S. agencies in a FedRAMP Moderate Authorized environment. This role is an opportunity to be part of a mission that is making a significant impact on the security of the digital world.

## What You Will Do - Design, implement, and deliver scalable AI-centric software systems.

• Drive the development of agentic AI capabilities for identifying vulnerabilities, automating penetration testing processes, workflow optimization, and enhancing threat intelligence.
• Own and drive the end-to-end development of product features from ideation to production deployment and monitoring.
• Actively contribute to and drive the design and implementation of AI-enabled systems, promoting effective SDLC processes.
• Lead technical discussions, code reviews, and design sessions, sharing your expertise to uplift the team's capabilities.
• Provide mentorship and support to junior engineers, encouraging professional growth and development.
• Collaborate closely with cross-functional teams to integrate AI capabilities into broader systems and applications.
• Drive the development of AI technologies, such as LLMs, RAG, and MCP, applying your knowledge of token usage optimization and LLM cost optimization techniques.
• Ensure the implementation of strong design skills, with UML knowledge being a bonus, and exposure to Domain Driven Design desirable.
• Utilize your experience with asynchronous messaging technologies such as Google PubSub, Kafka, and your in-depth knowledge of NoSQL and RDBMS technologies.
• Contribute to the scaling of microservice-based applications, using Docker, Kubernetes, and Cloud Environments, with a preference for GCP.

## What We Are Looking For - 7+ years of experience in distributed systems and backend software engineering.

• Experience with AI technologies, e.g., LLMs, RAG, MCP, etc.
• Excellent grasp of token usage optimization and LLM cost optimization techniques.
• Expert knowledge of Golang (4+ years) and solid hands-on experience with Python.
• Strong experience and understanding of microservices, REST API design, gRPC, writing unit testing, BDD testing.
• Strong design skills required, with UML knowledge being a bonus; exposure to Domain Driven Design desirable.
• Experience with asynchronous messaging technologies such as Google PubSub, Kafka.
• In-depth knowledge of NoSQL and RDBMS technologies.
• Strong experience with Docker, Kubernetes, Cloud Environments (GCP preferred).
• Experience working on agile teams.
• Excellent communication and collaboration skills in all mediums.
• Experience working on and scaling a microservice-based application.
• A proven ability to thrive in a collaborative environment involving different stakeholders and subject matter experts.

## Nice to Have - Experience in a fast-paced startup environment.

• Experience in Cyber Security.
• Knowledge of Excel for data analysis and visualization.

## Benefits and Perks - Competitive salary ranging from

- Ensure your portfolio highlights your experience with AI technologies and your ability to drive product innovation.

• Demonstrate a deep understanding of cybersecurity principles and how AI can enhance security measures.
• Be prepared to discuss your approach to mentoring junior engineers and promoting a culture of technical excellence.
• Show examples of how you've optimized AI systems for performance and scalability in previous roles.
• Research Synack's current projects and be ready to discuss how your skills align with their mission and goals.
• Prepare to back your salary requirements with market data, considering factors like location and experience.
• Look for opportunities to ask insightful questions during the interview, such as the company's vision for AI integration in the future.