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Protocol Intelligence
Data-driven signals on your job's competitivenessTier-1 brand and metro location, but niche senior platform skills limit applicant pool to moderate competition.
Specialized data platform and agentic engineering skills are transferable, giving moderate background sensitivity.
Extensive mandatory platform, distributed systems, data and agentic engineering expertise makes shortlisting highly selective.
Job Description
Structured overview of role & requirementsAbout This Role
Own the architecture and design for key components of a large-scale data and AI platform, covering storage, pipelines, services, and agentic systems.
Build and deploy critical, complex platform components and reference implementations in production environments.
Set standards and engineering practices for agentic coding, tooling, and platform foundations including data contracts, lineage, and governance.
Minimum Requirements
Experience designing, delivering, and migrating large distributed data and AI systems with multi-team dependencies.
Strong command of distributed systems fundamentals and platform-level data engineering (e.g., Iceberg, Delta Lake, batch and streaming architectures).
Proficiency in software engineering practices including service API design, infrastructure as code, Kubernetes, and security best practices.
Work Experience Required: Not explicitly mentioned in the JD.
Ideal Candidate Profile
Senior engineer or architect with hands-on experience as lead, principal, or staff engineer on production data/AI platforms impacting multiple teams.
Proven ability to influence through high-quality designs, shipped code, and technical mentorship in platform engineering contexts.
Demonstrated public technical contributions via open source projects, technical writing, or conference presentations.