Empower. Automate. Elevate
Senior Engineering Manager, Data & Cloud Platform
Location
United States
Posted
3 days ago
Salary
$190K - $210K / year
Seniority
Senior
Job Description
Senior Engineering Manager, Data & Cloud Platform
Mitratech
• Own the cloud and data foundation for the AI organization — shared runtime infrastructure, CI/CD patterns, and platform services used by AI teams. • Design and build a unified data access layer for agents and AI features so they can interact with a coherent interface rather than bespoke storage and retrieval systems in each product. • Define where shared AI data should live — agent memory, context stores, and shared service datasets — while partnering with product teams that have compliance or customer-specific reasons to retain specialized storage patterns. • Build and operate data ingestion and transformation pipelines that support AI workloads and analytics, including ETL and lakehouse-style patterns where needed. • Shape the technical execution of the organization’s data strategy, especially around scale, operability, cost, and long-term maintainability. • Partner with the AI Quality & Governance team to support privacy-sensitive data handling, PII-aware workflows, and safe access patterns for observability, memory, and trace data. • Provide platform patterns, reference architectures, and reusable services that help product teams migrate toward shared foundations instead of building fragmented point solutions. • Hire, mentor, and grow the team over time — the function may later mature into separate data-platform and cloud-platform groups.
Job Requirements
- 8+ years of software engineering experience including meaningful experience leading engineers as a manager or technical lead.
- Strong experience with cloud infrastructure, distributed systems, developer platforms, or internal platform engineering.
- Hands-on experience building or operating shared data systems: ETL/ELT pipelines, internal data services, warehouse or lakehouse environments, or other multi-team data platforms.
- Experience designing platform APIs or integration layers that make complex infrastructure or fragmented systems easier for other teams to consume.
- Demonstrated exposure to production AI systems, especially where data architecture and infrastructure materially affect quality, reliability, latency, or cost.
- Comfort operating in ambiguous environments where the architecture is evolving and the right answer may be a combination of shared services, integration layers, and selective platform consolidation.
- A strong bias toward hands-on execution, systems thinking, and building scalable foundations that other teams can trust.
- Experience with agent memory, retrieval systems, semantic search, or data architectures optimized for LLM-powered applications.
Benefits
- Health, Dental & Vision Insurance *
- 401 (k) + Employer Match *
- Unlimited PTO + 11 Paid Holidays + 4 Annual Paid Global Wellness Days Off
- STD, LTD & Group Life Insurance
- Paid Parental Leave
- Pet Insurance
- FSA & HSA Options
- Employee Assistance Program
- Remote Work
- Career Advancement & Professional Development Opportunities
- Employee Recognition
- LinkedIn Learning Platform
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