We are looking for an experienced Backend Team Lead to join our Harmony SaaS Security group and lead the development of our Data Loss Prevention (DLP) platform.
Our team was born from a successful cybersecurity startup acquisition and operates with a startup mindset inside a global cybersecurity leader. We focus on building advanced security solutions that protect organizations from sensitive data exposure across modern SaaS environments.
As a Backend Team Lead, you will own the architecture and evolution of a large scale DLP platform responsible for detecting, analyzing, and protecting sensitive data across thousands of organizations and millions of SaaS events.
You will lead a team of highly skilled backend engineers, working with a modern cloud native stack including Go, GCP, Kubernetes, Kafka, and Postgres, and will design systems that process and analyze massive volumes of security data in real time.
This role combines technical leadership, system architecture, and hands-on development, with opportunities to shape the future of our platform, introduce AI-driven security capabilities, and drive engineering excellence across the team.
If you enjoy building large scale distributed systems, leading strong engineers, and solving complex security problems, we would love to meet you.
Key Responsibilities
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.
Our team was born from a successful cybersecurity startup acquisition and operates with a startup mindset inside a global cybersecurity leader. We focus on building advanced security solutions that protect organizations from sensitive data exposure across modern SaaS environments.
As a Backend Team Lead, you will own the architecture and evolution of a large scale DLP platform responsible for detecting, analyzing, and protecting sensitive data across thousands of organizations and millions of SaaS events.
You will lead a team of highly skilled backend engineers, working with a modern cloud native stack including Go, GCP, Kubernetes, Kafka, and Postgres, and will design systems that process and analyze massive volumes of security data in real time.
This role combines technical leadership, system architecture, and hands-on development, with opportunities to shape the future of our platform, introduce AI-driven security capabilities, and drive engineering excellence across the team.
If you enjoy building large scale distributed systems, leading strong engineers, and solving complex security problems, we would love to meet you.
Key Responsibilities
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.
Requirements:
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.
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.
This position is open to all candidates.
