Lead Engineer - Data & AI
A.P. Moller - Maersk (company site, opens in a new tab)BengaluruOn-siteDirect career pageEst. 35–60 LPA
Posted on 24 Sept
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Job description
Structured overview of role & requirements
About 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.