About the Role :

Over 50,000 customers globally trust our end-to-end, cloud-driven networking solutions. We are looking for an AI Staff Software Systems Engineer to help shape the future of intelligent networking, generative AI, and autonomous agentic systems. You will build highly scalable systems that process real-time network data, power intelligent experiences, and enable AI agents to reason, remember, plan, collaborate, use tools, and safely take action on behalf of users.

Job Responsibilities :

- Serve as a thought leader and forward thinker, helping define and drive an innovative technical vision across our products and platforms.

- Design and launch strategic capabilities spanning intelligent networking, distributed systems, real-time data processing, agentic AI, and machine learning.

- Lead the end-to-end software development lifecycle, including architecture, design, implementation, testing, deployment, and operations.

- Lead technical discussions and strategy while participating hands-on in design reviews, code reviews, and implementation.

- Design and build high-performance, production-ready services for next-generation real-time data and AI platforms, including scalable data pipelines, distributed microservices, agentic solutions, and integrations with networking systems.

- Mentor and develop engineers across the team, establish a clear technical direction, and foster a culture of innovation, collaboration, accountability, and engineering excellence.

- Uphold the highest standards of technical rigor and operational excellence.

- Build highly resilient, secure, observable, and scalable systems, and champion improvements to architecture, engineering processes, system performance, and operational readiness.

Basic Qualifications :

- Bachelors degree in Computer Science, Engineering, Mathematics, or a related technical discipline, or equivalent practical experience.

- 5+ years of experience across the complete software development lifecycle, including architecture, design, coding, code reviews, testing, build processes, deployment, and production operations.

- 5+ years of programming experience, with proficiency in at least one general-purpose programming language, preferably Python, Java, Go, or C++.

- 3+ years of experience leading the design and architecture of large-scale distributed systems, preferably on cloud platforms such as AWS, Azure, or Google Cloud.

- Experience in one or more of the following areas : real-time microservices, stream processing, distributed data platforms, cloud infrastructure, AI or agentic systems, network telemetry, or large-scale analytics.

- Experience designing systems that process high-volume, high-velocity data with stringent requirements for scalability, availability, latency, and operational reliability.

- Experience mentoring engineers, serving as a technical lead, or leading an engineering team.

- Demonstrated ability to tackle highly complex, ambiguous, or undefined technical problems and translate them into pragmatic, production-ready solutions.

Preferred Qualifications :

- BE/B.Tech/Masters or PhD in Computer Science, Computer Engineering, Electrical Engineering, Machine Learning, or a related discipline, or equivalent practical experience.

- Experience building highly scalable, event-driven microservices and processing large volumes of real-time operational or network data.

- Experience building generative AI or agentic systems, including tool use, planning, memory, retrieval, orchestration, evaluation, and production deployment.

- Experience developing networking, network management, observability, telemetry, cloud infrastructure, or distributed control-plane systems.

- Experience with distributed data and processing technologies such as Kafka, Spark, Flink, PySpark, MapReduce, or comparable technologies.

- Experience working with large-scale, real-world datasets and building reliable production systems that translate data into actionable insights or automated outcomes.

Company Culture :

Inclusion is one of our core values and in our DNA. We are committed to fostering an inclusive workplace that embraces our differences and creates an atmosphere where all our employees thrive. We encourage people from underrepresented groups to apply. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications or analyzing resumes. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans.