Were looking for an experienced Senior Backend Engineer to join our Harmony SaaS Security team a high-performing group born from a successful cybersecurity startup acquisition. We operate with startup agility and innovation, backed by the global strength of a world-class security leader.
High-Trust, High-Talent Team: Work with smart, humble engineers who value collaboration and excellence
Startup Energy, Global Impact: Innovate quickly within a global cybersecurity organization
Meaningful Ownership: Shape the architecture and technical direction of a platform redefining how enterprises secure SaaS and GenAI
AI-Accelerated Development: We embrace tools like Cursor, Claude, and ChatGPT - while maintaining strong coding standards
Our tech stack includes Go, Kubernetes, Kafka, GCP, Postgres, Redis, BigQuery, Terraform, Temporal, Prometheus, OpenTelemetry, and more - delivering scalable, reliable systems that protect modern SaaS and GenAI ecosystems.
Key Responsibilities
Lead the technical design and direction of core platform components.
Mentor and guide developers, promoting a culture of excellence and collaboration.
Drive critical architectural initiatives and ensure best practices across the stack.
Build and optimize scalable, secure backend systems supporting enterprise-scale SaaS security.
If you love leading from the front - solving complex problems, mentoring engineers, and building scalable security solutions - wed love to meet you.
Requirements: 8+ years building and operating large-scale backend systems and cloud computing.
Strong Experience with Go (or similar compiled languages).
Proven experience leading projects, mentoring developers, and driving technical initiatives.
Strong systems-thinking mindset: experienced in event-driven architectures, message queues, and workflow orchestration.
A builder at heart: focused on quality, scalability, and continuous improvement.
It would be great if you also have:
Background in cybersecurity or SaaS security.
Experience integrating with major SaaS provider APIs.
Familiarity with analytical extensions (e.g., TimescaleDB, ClickHouse) or AI-driven data pipelines.
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