Job Description
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We are seeking a seasoned engineering leader to drive innovation in distributed systems, large-scale data pipelines, and machine learning solutions.
The ideal candidate will provide technical vision, lead the software development lifecycle, architect high-performance scalable microservices, and mentor engineering talent.
In this role, you will champion engineering rigor, operational excellence, and process improvements to deliver resilient, scalable systems that power our cutting-edge products and services.
Responsibilities : ">
- Provide technical leadership and vision for distributed systems, large-scale data pipelines, and machine learning solutions
- Lead the full software development lifecycle, including design, architecture, testing, deployment, and operations
- Architect and deliver high-performance, scalable microservices and real-time inferencing systems using modern machine learning infrastructure
- Mentor and grow engineering talent, establish technical direction, and foster a culture of excellence and collaboration
- Champion engineering rigor, operational excellence, and process improvements to deliver resilient, scalable systems
Basic Qualifications :
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Degree in Computer Science, Mathematics, or a related discipline8+ years of experience across the full software development lifecycle, including design, coding, reviews, testing, deployment, and operations4+ years of experience managing engineering teams with a proven track record of delivery4+ years of experience building distributed big data solutions such as Spark, Kafka, Debezium, Hudi, Flink, or Glue4+ years of experience designing and architecting large-scale distributed systems on cloud platforms such as AWS, Azure, or GCPProven ability to optimize big data workflows and improve system performance at scaleProficiency with Docker, Kubernetes, and modern CI / CD practicesExperience serving as a mentor, tech lead, or people manager in engineering organizationsPreferred Qualifications :
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MS or PhD in Computer Science or a related fieldExperience with graph machine learning and graph technologies such as Graph Neural Networks (GNNs)Experience building generative AI solutions such as Reagent, AI Agents, or LLM fine-tuningAbout Us :
We value innovation and expect our employees to advance with us in shaping the future of network intelligence. Join us in driving a fundamental shift in how businesses manage networks by building intelligent, high-performance multi-agent systems that perceive, learn, and act in real-time.