AI Staff SW Systems Engineer - AI Infra - Distributed Systems,Microservice, AI Infrastructure,Agentic systems
- Compensation
- Not disclosed
- Location
- Bangalore, India
- Work setup
- Not specified
- Seniority
- Staff
- Employment
- Not specified
- Experience
- 3+ years
- Category
- Software engineering
- Posted
Skills
Must have
- 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
- 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.
- Basic Requirements and Preferred Qualifications for the job.
- We encourage people from underrepresented groups to apply. Come Advance with us! In keeping with our values, no employee or applicant will face discrimination/harassment based on: race, color, ancestr
- We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team
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.
Full description
Over 50,000 customers globally trust our end-to-end, cloud-driven networking solutions. They rely on our top-rated services and support to accelerate their digital transformation efforts and deliver unprecedented progress. With double-digit growth year over year, no provider is better positioned to deliver scalable outcomes than Extreme.
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 because of their differences, not in spite of them.
Become part of Something big with Extreme! As a global networking leader, learn why there’s no better time to join the Extreme team.
Job Description
What you will do (Job Specific Details on the nature of the job and responsibilities).
Position : AI Staff SW Systems Engineer –Skills : AI, Distributed Systems,Microservice, AI Infrastructure,Agentic systemsLocation : Remote Software Engineering:
Are you energized by the opportunity to shape the future of intelligent networking, generative AI, and autonomous agentic systems? Do you want to help 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? Do you aspire to create global impact while tackling challenges at the intersection of networking, AI, distributed systems, cloud platforms, security, and real-time data processing?
Then come advance with us.
This is an incredible opportunity to work at the forefront of intelligent networking, agentic automation, cloud-native platforms, and real-time distributed systems. You will help lead the development of core platforms and services that process large volumes of network and operational data and power AI experiences across Extreme. These systems must be scalable, secure, reliable, observable, adaptable, and safe for enterprise use cases.
There has never been a better time to join Extreme. Following several acquisitions that have expanded our portfolio and go-to-market strategy, we are seeing tremendous opportunity and growth across regions. In addition to being recognized as a Technology Leader in the Gartner Magic Quadrant, we actively promote an internal culture that truly embraces diversity. Our motto at Extreme is “Advance with us,” and it applies to everyone we work with, both inside and outside the company.
Our group is responsible for developing core platforms and services spanning networking, agentic AI, distributed data processing, real-time analytics, and intelligent automation. These capabilities positively impact multiple existing Extreme flagship products as well as new company offerings. We are spearheading a fundamental shift in how businesses operate and manage their wired and wireless networks by building high-performance, real-time systems that can process massive volumes of network data, derive actionable insights, and enable intelligent agents to assist users or act on their behalf. As part of this group, you will continuously experiment with emerging technologies, create best-in-class networking experiences, and launch state-of-the-art software, data, and AI solutions.