
201 - 500 employees
Synack is the premier security testing platform harnessing a vetted community of the world’s most talented security researchers to deliver continuous penetration testing and vulnerability management. We help our customers build and augment their security testing capabilities and capacity to deliver transformational results—better than traditional pentesting methods. We are committed to reducing cybersecurity risk for our customers by bridging the cybersecurity talent gap and giving organizations on-demand access to the most trusted network of researchers in a secure way, all on one platform.
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201 - 500 employees
Synack is the premier security testing platform harnessing a vetted community of the world’s most talented security researchers to deliver continuous penetration testing and vulnerability management. We help our customers build and augment their security testing capabilities and capacity to deliver transformational results—better than traditional pentesting methods. We are committed to reducing cybersecurity risk for our customers by bridging the cybersecurity talent gap and giving organizations on-demand access to the most trusted network of researchers in a secure way, all on one platform.
• 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.
• 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 – UML is 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.
• The compensation package for this position may also include equity, and benefits.
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