As a Team Manager on the Orchestrator team, youll lead one of our most strategic engineering teams, responsible for the scan pipeline end to end, from trigger to published results. The orchestration layer this team owns sits on the critical path of the entire product, and every scan our runs goes through it.
The platform is large-scale, distributed and always on, running across all of our production sites worldwide, including regulated and customer-hosted environments. It is a demanding distributed-systems domain, where throughput, resilience and cloud efficiency are permanent engineering concerns rather than one-off projects.
Youll lead a team of talented senior engineers, providing both technical and people leadership while staying hands-on in design and implementation. Youll drive key architectural decisions, lead the platforms move to its next-generation architecture, and evolve it for higher scale, stronger resilience and deeper visibility into every job in flight.
Were looking for an experienced Team Leader who wants to make a foundational impact on the engine that powers our cloud security platform.
Our Stack: Python, AWS, Kafka, Redis, SQS, Postgres, Kubernetes. Our scanning surface extends across Azure, GCP, OCI and Alibaba Cloud and others.
What Youll Do:
Lead, mentor and develop a team of senior software engineers through one-on-ones, feedback and technical guidance.
Own and drive the delivery of high-impact projects end to end, from design through deployment and production monitoring.
Design and review architecture for large-scale distributed systems, with a focus on scalability, resilience and efficiency.
Drive the platforms scalability and cost efficiency as scan volumes grow.
Collaborate cross-functionally with Product, SRE and other R&D teams to define priorities, interfaces and success metrics.
Ensure the reliability, scalability and observability of core services, introducing SLOs and best practices for operations.
Uphold the teams engineering standards for code quality, safe rollout of changes and long-term maintainability.
Write and review clean, maintainable and tested code.
Bachelors degree in Computer Science, Engineering, or equivalent experience.
7+ years of professional software development experience, including at least 2 years in a team lead role.
Proven experience leading teams that build and operate large-scale, mission-critical distributed systems.
Strong hands-on Python, including async programming at scale – Must.
Strong understanding of distributed systems design, including concurrency, distributed state, idempotency, delivery semantics and performance optimization.
Solid grasp of resilience patterns such as retries, backpressure, rate limiting, timeouts, resumable workflows and failure recovery.
Hands-on experience with event streaming and queueing systems such as Kafka and SQS.
Hands-on experience with Redis and with relational databases such as Postgres – Advantage.
Deep understanding of cloud-native architectures and cloud provider APIs, AWS in particular, including compute, storage, IAM and related services.
Excellent communication and collaboration skills, with the ability to align engineers, product managers and stakeholders.
Experience mentoring engineers and guiding technical growth.
Comfortable balancing hands-on technical work with people and project leadership responsibilities.
