Senior Software Engineer (Big Data)

Position- Staff Software Engineer – (Big Data, GenAI):

Are you energized by the idea of innovating with Generative AI? Do you want to create global impact while tackling challenges at the forefront of Artificial Intelligence? Do you dream of building ground-breaking products that define the future of AI-driven network management? Then come, advance with us at Veltris.

This is a greenfield opportunity to shape next-gen networking experiences at the cutting edge of Generative AI, Machine Learning, Big Data, and Cloud Computing. You’ll help define every aspect of the user journey, product vision, and technical roadmap—driving innovation from concept to delivery.

There has never been a better time to join Veltris. With multiple acquisitions expanding our portfolio and market strategy, we’re experiencing unprecedented growth worldwide. Recognized as a Technology Leader in the Gartner Magic Quadrant and a multi-year Best Employer award winner, Veltris is committed to a culture of diversity, inclusion, and equality, where every employee thrives because of their differences—not despite them.

Our AI Core group is pioneering platforms and solutions for Generative AI—from AI Agents, RAG, and Knowledge Bases to Data Mining, Anomaly Detection, and LLM fine-tuning. These innovations power flagship Veltris products while enabling entirely new offerings. Together, we’re driving a fundamental shift in how businesses manage networks—building intelligent, high-performance multi-agent systems that perceive, learn, and act in real time.

At Veltris, innovation isn’t just encouraged—it’s expected. Advance with us and help shape the future of network intelligence.

Job Responsibilities

· Lead the design and development of distributed systems, data pipelines, and ML infrastructure with a focus on scalability and reliability

· Own end-to-end delivery of key features and services across the full SDLC—design, implementation, testing, deployment, and operations

· Drive innovation in Big Data, Generative AI, and Graph ML by translating emerging technologies into production-ready systems

· Build and optimize scalable, real-time analytic systems powering AI Agents

· Mentor junior and mid-level engineers, provide technical guidance, and promote engineering best practices

· Collaborate across teams to ensure solutions are resilient, secure, and high-performing

Requirements

· Degree in Computer Science, Mathematics, or a related field

· 8+ years of experience across the full software development lifecycle (design, coding, reviews, testing, deployment, operations)

· 5+ years of experience with distributed Big Data systems (e.g., PySpark, Lakehouse, Kafka, Debezium, Hudi, Druid, Flink, Spark Streaming)

· Experience with sensitive or streaming data pipelines, including governance and compliance requirements

· Experience with Graph technologies (e.g., GNNs)

· Proven track record of delivering complex, high-impact software systems in production

· Experience deploying large-scale solutions on cloud platforms (AWS, Azure, GCP)

· Strong problem-solving skills and ability to excel in ambiguous environments

Preferred Qualifications

· MS in Computer Science, Machine Learning, or a related discipline

· Experience with Graph ML and Graph technologies (e.g., GNNs)

· Hands-on experience building Generative AI solutions (RAG, AI Agents, LLM fine-tuning) in production