Backend Team Lead
- Lead and grow a team of backend engineers, fostering a culture of ownership, innovation, and engineering excellence.
- Own the technical direction and architecture of the DLP product and its backend services.
- Design and build high scale distributed systems that ingest, process, and analyze large volumes of SaaS security events.
- Drive architectural decisions around event driven systems, data pipelines, and cloud native infrastructure.
- Collaborate closely with product managers, security researchers, and data teams to deliver impactful security capabilities.
- Mentor engineers through technical guidance, architecture discussions, and code reviews.
- Ensure high standards for performance, reliability, scalability, and observability.
- Build and optimize systems leveraging technologies such as Kafka, Kubernetes, and GCP services.
- Drive innovation by exploring and integrating AI-based capabilities for advanced data classification and security detection.
- Maintain operational ownership of production systems, including monitoring, troubleshooting, and continuous improvements.
- 5+ years of experience building backend systems and distributed architectures.
- 3+ years of experience in a technical leadership or team lead role, managing and mentoring engineers.
- Strong hands-on experience with Golang (or other backend languages with a willingness to work in Go)-an advantage
- Experience designing and operating large scale cloud native systems.
- Strong experience with Major cloud platforms – GCP is an advantage.
- Hands-on experience with Kubernetes and containerized microservices architectures.
- Experience building event driven systems and streaming pipelines using Kafka or similar technologies.
- Strong understanding of system design, scalability, performance optimization, and reliability engineering.
- Experience working with large scale data processing systems.
- Experience working with and early adapting to new AI tools.
- Background in cybersecurity, SaaS security, or data protection technologies - an advantage.
- Background in SaaS applciation API usage and throttling – an advantage
- Excellent leadership, communication, and problem solving skills.
- Ability to thrive in fast moving environments with high ownership and autonomy.
- Believe in learning new things every day.