Principal Engineer - SaaS

Description About the client: Our client is a Bay Area flagship SaaS platform at the intersection of Robotics and Warehouse Automation - designing cutting edge technology solutions. What Makes This Role Compelling

• Deep algorithmic challenges with real-world operational impact.
• High-scale distributed systems deployed in mission-critical environments.
• Opportunity to influence platform architecture at a transformational stage.
• Patent-level innovation potential.
• Work at the intersection of SaaS, robotics, AI orchestration, and real-time systems.

If you are a builder who enjoys solving hard systems problems, optimizing for milliseconds, and architecting platforms that operate at global scale - this is a role worth exploring. Roles & Responsibilities

• Define and drive the overall architecture for scalable, secure, and high-performance distributed systems.
• Write and review code for critical modules and performance-sensitive components to set quality and architectural standards
• Collaborate with engineering leads and product managers to align technology strategy with

business goals.

• Evaluate and recommend tools, technologies, and processes to ensure the highest quality

product platform.

• Own and evolve the system design, ensuring modularity, multi-tenancy, and future extensibility.
• Establish and govern best practices around service design, API development, security,

observability, and performance.

• Review code, designs, and technical documentation, ensuring adherence to architecture and

design principles.

• Lead design discussions and mentor senior and mid-level engineers to improve design thinking and engineering quality.
• Partner with DevOps to optimize CI/CD, containerization, and infrastructure-as-code

Stay abreast of industry trends and emerging technologies, assessing their relevance and value. Skills

• Strong understanding of data structures and algorithms
• Good knowledge of low level and high level system designs and best practices
• Strong expertise in Java & Spring Boot, with a deep understanding of microservice architectures and design patterns. C++, Python and other language exp is desired.
• Good knowledge of databases (both SQL and NoSQL), including schema design, sharding, and performance tuning.
• Expertise in Kubernetes, Helm, and container orchestration for deploying and managing scalable applications.
• Advanced knowledge of Kafka for stream processing, event-driven architecture, and data integration.
• Proficiency in Redis for caching, session management, and pub-sub use cases.
• Solid understanding of API design (REST/gRPC), authentication (OAuth2/JWT), and security best practices.
• Strong grasp of system design fundamentals-scalability, reliability, consistency, and observability.
• Experience with monitoring and logging frameworks (e.g. Datadog, Prometheus, Grafana, ELK, or equivalent).
• Excellent problem-solving, communication, and cross-functional leadership skills.
• Prior experience in leading architecture for SaaS or high-scale multi-tenant platforms is highly desirable.

Experience

• 6-10+ years of relevant experience

Qualifications

• Engineering or science background is preferred.
• Bachelor's degree and above is preferred

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