AI Staff SW Systems Engineer -AI Infra -Distributed Systems,Microservice, AI Infrastructure,Agentic

Overview

Lead the design and development of core platforms and services spanning intelligent networking, agentic AI, distributed data processing, and real-time analytics, as a thought leader and hands-on technical lead.

What you'll do

• Serve as a thought leader and help define and drive an innovative technical vision across 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 real-time data and AI platforms, including scalable data pipelines, distributed microservices, agentic solutions, and integrations with networking systems.
• Mentor and develop engineers, 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.

What you'll need

• Bachelor's degree in Computer Science, Engineering, Mathematics, or a related technical discipline, or equivalent practical experience.
• 7+ years of experience across the complete software development lifecycle, including architecture, design, coding, code reviews, testing, build processes, deployment, and production operations.
• 7+ 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.

Nice to have

• Master's 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.

Details

• Location: Bangalore or Chennai or Remote.