
201 - 500 employees
🔒 Cybersecurity
📋 Compliance
☁️ SaaS
Cybersecurity • Compliance • SaaS
Synack, Inc. 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. The company helps customers build and augment their security testing capabilities and capacity to deliver transformational results that surpass traditional pentesting methods. Synack is committed to reducing cybersecurity risk for its customers by bridging the cybersecurity talent gap and providing on-demand access to a trusted network of researchers in a secure environment, all on one platform.
🕒 June 17
Where this job comes from
Posted on Synack, Inc.'s careers page, not through a job board
First seen by Remote Rocketship June 17
Still open on Synack, Inc.'s site. Checked 11 hours ago.

201 - 500 employees
🔒 Cybersecurity
📋 Compliance
☁️ SaaS
Cybersecurity • Compliance • SaaS
Synack, Inc. 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. The company helps customers build and augment their security testing capabilities and capacity to deliver transformational results that surpass traditional pentesting methods. Synack is committed to reducing cybersecurity risk for its customers by bridging the cybersecurity talent gap and providing on-demand access to a trusted network of researchers in a secure environment, 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.
• For more details about our benefits, please see here. Then for the Employer code, enter: synack
Apply NowImprove your chances of getting an interview by checking your resume score before you apply.
🕒 June 12
AI Engineer responsible for designing AI solutions to enhance manufacturing workflows at Zeus Industrial Products. Collaborating with data scientists and stakeholders to operationalize AI integrations.
🕒 June 11
Forward Deployed AI Engineer bridging AI capabilities with client fraud solutions at Sardine. Architecting and deploying custom AI agents while ensuring high performance and reliability through client collaboration.
🕒 June 11
Lead AI Engineer architecting and building enterprise workflow automation platform at Very Big Things. Collaborate with CEO and leadership, deploy solutions enhanced with AI.
🕒 June 10
AI Product Engineer creating new products and features for G2’s AI initiatives. Collaborating with a global team on innovative solutions in software development for the B2B industry.
🕒 June 10
Lead AI/ML Software Engineer at Raft driving architectural decisions and major technical initiatives across the AI mission system. Responsible for hands-on code contributions and elevating engineering quality across the team.