Principal Software Architect

Role:

We are seeking an experienced Senior Software Architect to lead the design and development of a high-performance, scalable application for our next-generation network testing platform. The ideal candidate will combine deep technical expertise with strong architectural vision to ensure our platform meets the most demanding performance, reliability, and scalability requirements.

You will collaborate closely with product managers, engineering teams, and infrastructure specialists to design systems that can handle massive data throughput, low-latency operations, and evolving customer needs.

Responsibilities:

• Analyze requirements, design and develop high-quality products for a network test and measurement industry leader.
• Build scalable applications with high throughput and low latency, ensuring the system can handle and analyze massive amounts of network data for reporting and insights.
• Provide technical vision and direction to development teams, ensuring alignment with business goals and systems architecture.
• Provide hands-on technical guidance in complex problem-solving, proof-of-concepts (POCs), and critical system design.
• Lead technical design reviews, offering mentorship and constructive feedback to engineers and senior developers.
• Evaluate and adopt emerging technologies, frameworks, and tools that enhance system scalability, performance, and maintainability.
• Foster a culture of technical excellence, continuous learning, and engineering best practices across teams.

Required Background

• Education: Bachelors or masters in computer science or equivalent
• Experience: 15+ years of industry experience

Required Skills/Experience

• Strong proficiency in Python and Go for backend/service development.

• Hands-on experience with Docker and Kubernetes for containerization, orchestration, and deployment in cloud or on-prem environments.
• Excellent C++, with extensive OO design and implementation experience
• Understanding of AI/ML concepts, with practical experience applying ML techniques to large-scale data (preferred).
• Solid knowledge of distributed systems, scalability, and performance optimization (high throughput, low latency).
• Experience with REST APIs, microservices, and event-driven architectures.
• Familiarity with CI/CD pipelines, version control (Git), and DevOps practices.
• Strong problem-solving skills and ability to work with large, complex datasets.
• Excellent collaboration and communication skills in a team-oriented environment.
• Solid expertise in working with both SQL (e.g., PostgreSQL, MySQL) and NoSQL databases (e.g., MongoDB, Cassandra), including data modeling, query optimization, and performance tuning.
• Experience with message queues / streaming platforms (e.g., Kafka, RabbitMQ for building scalable, event-driven systems.
• Technical/Product expertise:
• Experience in Distributed systems design and implementation
• Experience in Building high throughput applications
• Experience in Building tools and applications to help debug customer issues.
• Experience in Building high throughput reporting system.