Senior Engineering Manager, Data & Cloud Platform

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🔥 0 minutes ago

🇺🇸 United States – Remote

💵 $190k - $210k / year

⏰ Full Time

🟠 Senior

👮‍♀️ Software Engineering Manager

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Mitratech

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

📋 Compliance

☁️ SaaS

💰 Private Equity Round on 2017-04

AI • Compliance • SaaS

Mitratech is a leading provider of enterprise legal management, risk management, and human resources solutions. Their platform incorporates automation, analytics, and artificial intelligence technologies to enhance efficiency and compliance across organizations. Mitratech specializes in tools for legal departments, risk management, compliance tracking, and HR management, creating an interconnected environment that empowers professionals to work smarter and achieve better outcomes.

📋 Description

• 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.

🎯 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