Minimum Qualifications:
Bachelor’s degree in Computer Science/related field or equivalent practical experience.
Strong experience in software engineering, solution design, and delivering scalable, secure enterprise applications.
Solid understanding of core engineering fundamentals (system design, APIs, integrations, testing, CI/CD, and operations).
Knowledge of data architecture, data flows, and integration with analytical/operational data platforms.
Proven ability to lead technical decisions, collaborate cross-functionally, and communicate effectively with technical and non-technical stakeholders (including code reviews and mentoring).
Preferred qualifications:
Experience in tech leadership roles (Tech Lead/Solution Architect) within complex enterprise environments and microservices-based architectures.
Expertise in modern architectural patterns (DDD, event-driven systems) and building reusable, scalable platforms/services.Hands-on experience with enterprise data platforms, analytics solutions, and data product design.
Exposure to AI/ML and Generative AI (LLMs, RAG, prompt design) with understanding of responsible AI practices and governance.
Familiarity with DevSecOps, SRE, observability, Agile delivery, and ability to coach teams and drive strong engineering culture.