We are seeking a Experienced Mid / Senior Backend Engineer to join our high-performing SaaS Security team.
Born from a successful cybersecurity startup acquisition, we operate as a dynamic team within a larger organization, driven by innovation and a passion for building cutting-edge security solutions.
We leverage a modern technology stack, including Go, GCP, Kubernetes, Postgres, Kafka, Temporal, and Prometheus, to deliver robust and scalable solutions that help organizations secure their SaaS ecosystems.
In this role, you will play a leadership position, driving the technical direction of our platform while mentoring developers, leading critical tasks, and fostering a collaborative and high-performing engineering culture.
If youre an experienced engineer who thrives in a leadership role and enjoys mentoring, problem-solving, and building highly scalable security solutions, wed love to hear from you!
Key Responsibilities
Lead the development of a new SaaS security platform to detect malicious activities.
Design and implement scalable, high-performance backend services.
Mentor and guide team members, fostering growth and technical excellence.
Integrate with major SaaS providers (Google Workspace, GitHub, Microsoft, Slack, etc.) via APIs, scraping, and other techniques.
Build and optimize a large-scale backend system that extracts, monitors, and alerts on security issues.
Drive architectural decisions and contribute to best practices in scalability, reliability, and observability.
Requirements: 5 years of experience as a Backend Software Engineer in large, distributed systems.
Strong expertise in Golang (or other high-level languages with a willingness to learn Go).
Proven experience leading projects, mentoring developers, and driving technical initiatives.
Strong problem-solving and analytical skills.
Experience working in dynamic, fast-paced environments.
Preferred Qualifications (Nice to Have)
Understanding of Cloud platforms (GCP preferred), Kubernetes, and Docker.
Hands-on experience with Postgres, Kafka, and Temporal.
Background in monitoring, observability, and Prometheus.
Familiarity with Microservices architecture and CI/CD best practices.
Experience integrating and working with SaaS APIs.
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