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Job Description
Structured overview of role & requirementsAbout This Role
Architect and lead development of scalable Big Data pipelines and agentic AI systems with autonomous and multi-agent capabilities.
Drive the technical vision and enforce engineering best practices for data engineering, AI/agentic architectures, and security across the software lifecycle.
Own end-to-end delivery of complex initiatives ensuring reliability, scalability, performance, and compliance with enterprise security and regulatory standards.
Minimum Requirements
10+ years in software engineering with strong focus on Big Data pipelines and distributed systems.
2+ years hands-on experience with Generative AI and agentic/multi-agent architectures.
Expertise in Big Data technologies (e.g., Spark, Hadoop, Kafka) and programming in Scala, Python, or Java.
Deep knowledge of cloud platforms (Azure, AWS, or GCP) and demonstrated expertise in cloud and application security practices.
Ideal Candidate Profile
Proven technical leader experienced in architecting large-scale, secure, and high-performance data platforms and agentic AI solutions.
Experienced in mentoring engineers and making architecture decisions in complex, cross-functional environments.
Strong background in cloud-native infrastructure, enterprise architecture, and embedding security best practices throughout development.