
Principal Software Systems Engineer
Posted Aug 4

Posted Aug 4
This is a fully remote position, open to applicants in India.
• Establish and propel a cutting-edge technical vision across various products and platforms.
• Create and introduce functionalities that encompass intelligent networking, distributed systems, real-time data processing, agentic AI, and machine learning.
• Oversee the entire software development lifecycle from architecture and design to implementation, testing, deployment, and operations.
• Facilitate technical discussions and strategy while engaging in design reviews, code reviews, and implementation processes.
• Design and construct high-performance production services, scalable data pipelines, distributed microservices, agentic solutions, and networking integrations.
• Guide and nurture engineers, set technical direction, and promote engineering excellence.
• Develop resilient, secure, observable, and scalable systems while enhancing architecture, engineering processes, performance, and operational readiness.
• A Bachelor’s degree in Computer Science, Engineering, Mathematics, or a similar technical field, or equivalent practical experience.
• Over 5 years of experience in the complete software development lifecycle.
• More than 5 years of programming experience.
• Proficient in at least one general-purpose programming language, ideally Python, Java, Go, or C++.
• At least 3 years of experience in leading the design and architecture of large-scale distributed systems.
• Familiarity with real-time microservices, stream processing, distributed data platforms, cloud infrastructure, AI or agentic systems, network telemetry, or large-scale analytics.
• Experience in designing high-volume, high-velocity data systems with strict scalability, availability, latency, and reliability requirements.
• Background in mentoring engineers, acting as a technical lead, or managing an engineering team.
• Capability to address complex, ambiguous technical challenges and convert them into production-ready solutions.
• Preferred experience with generative AI or agentic systems, networking, observability, telemetry, Kafka, Spark, Flink, PySpark, MapReduce, or similar technologies.
• An inclusive workplace dedicated to creating an environment where all employees can excel.
• Opportunity to collaborate with a leading global networking company.
• Engage in projects involving intelligent networking, agentic AI, cloud-native platforms, and real-time distributed systems.
• Work alongside highly skilled engineers.
• Chance to continuously explore emerging technologies and deploy state-of-the-art software, data, and AI solutions.
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