TL;DR

Senior Engineering Manager (Data AI Platforms): Lead platform engineering for MIDAS, a multi-tenant, real-time data platform with an accent on data governance, AI/ML infrastructure, and scalable runtime architecture. Focus on designing contract-driven data pipelines, policy-as-code frameworks, and enabling data mesh for global logistics at scale.

Location: Hybrid in Bangalore, India

Company

%hirify_global% is the world’s largest integrated logistics company transforming global trade through data infrastructure and AI-driven platforms.

What you will do

Lead engineering and architecture of a federated, metadata-driven data platform supporting real-time and batch workloads.
Define and implement contract-driven data pipelines and policy-as-code frameworks for data governance.
Enable data mesh adoption across 300+ domain teams with governance and operational blueprints.
Build AI/ML infrastructure foundations including feature stores, model monitoring, and lineage tracking.
Collaborate with cross-functional teams and executive sponsors to shape engineering strategy and delivery.
Drive GenAI enablement with LLM-based copilots and real-time inference patterns.

Requirements

Location: Must be based in Bangalore, India or able to work hybrid there
12–15 years engineering experience with 5+ years leading platform or data infrastructure teams.
Proven experience delivering internal data platforms supporting batch and streaming data.
Strong knowledge of data governance, contract testing, and schema evolution workflows.
Familiarity with Apache Iceberg, Kafka, Airflow, OpenMetadata, MLflow, Feast, and related tools.
Experience building or scaling ML platform components is a major plus.

Culture & Benefits

Greenfield engineering with architectural freedom and autonomy.
Opportunity to shape AI-driven supply chain intelligence at global scale.
Executive-level influence and direct collaboration with VPs and CTO organization.
Impactful role contributing to decarbonization and optimization of global trade.
Inclusive and diverse workplace committed to equal opportunity and accommodations.