Technical Lead, Data Modernization – AI Engineering

SYNCREON

Technical Lead for Data Modernization & AI Engineering at a recruitment agency. Designing data transfer methodologies and leveraging AI for enhanced data processing.

Posted 5/26/2026contractRemote • Texas • 🇺🇸 United StatesSeniorWebsite

Tech Stack

Tools & technologies

ApacheAWSCloudDistributed SystemsDockerJavaKafkaKubernetesMicroservicesNoSQLPythonSQL

About the role

Key responsibilities & impact

Design and implement contemporary data transfer methodologies that seamlessly loads data into a modern OLTP
Leverage AI for faster migration, efficient data reconciliation, and smooth user transition
Partner with internal collaborators and develop strong stakeholder relationships across architecture, security, networking, platform, and application teams

Requirements

What you’ll need

10 years of hands-on experience in application development.
8 + years of hand-on experience in languages and frameworks including Java or Python.
3+ years of backend service development, including RESTful API design and implementation.
Practical experience integrating AI/ML solutions into data pipelines, complex migrations, and system reconciliation.
Proven hands-on experience with Apache Kafka (installation, configuration, development).
Familiarity with cloud platforms (AWS mainly) and containerization (Docker, Kubernetes) is a plus.
Background in real-time analytics and event-driven architecture is preferred.
Experience with CI/CD platforms and related technologies.
Strong knowledge of data streaming concepts and distributed systems.
Hands-on experience with multiple technologies like APIs, Microservices, Event Streaming, Logging & Monitoring, Databases (SQL, NOSQL), Containers, Serverless Frameworks, DevOps, etc.
Bachelor’s degree in computer science or equivalent experience required; advanced studies/degree preferred.

Benefits

Comp & perks

🌐 Worldwide ❌ Jobs You've Hidden ⭐️ Saved Jobs ✅ Applied Jobs ✉️ Email Alerts 👤 Account SYNCREON Website LinkedIn All Job Openings 10,000+ employees 💰 Venture Round on 2019-10 syncreon delivers tailored, scalable and progressive solutions to customers in more than 100 global locations. The company has managed supply chain synergies for global automotive and technology premier brands for more than 60 years. We partner with customers to provide specialized logistics, operational excellence and value-added solutions in: warehouse management services, fulfilment, inbound to manufacturing, export packing, aftermarket services, reverse and repair, and transport management. syncreon specializes in helping customers create unique and inventive 3PL and 4PL operations that adapt as the industry and marketplace evolve. Our solutions are based on the lifecycle phases of planning, sourcing, making, delivering and returning products. As a global company, syncreon strategically locates its facilities in close proximity to our customers, in order to increase efficiencies and optimize supply chains through performance improvement. Technical Lead, Data Modernization – AI Engineering Job not on LinkedIn 🕒 2 days ago 🤠 Texas – Remote ⏳ Contract/Temporary 🟠 Senior 🤖 AI Engineer 🦅 H1B Visa Sponsor Apache AWS Cloud Distributed Systems Docker Java Kafka Kubernetes Microservices NoSQL Python SQL Apply Now Find Hiring Managers Customize resume + cover letter Report problem ☆ Save ☑️ Mark as applied ❌ Hide 📋 Description
Design and implement contemporary data transfer methodologies that seamlessly loads data into a modern OLTP
Leverage AI for faster migration, efficient data reconciliation, and smooth user transition
Partner with internal collaborators and develop strong stakeholder relationships across architecture, security, networking, platform, and application teams 🎯 Requirements
10 years of hands-on experience in application development.
8 + years of hand-on experience in languages and frameworks including Java or Python.
3+ years of backend service development, including RESTful API design and implementation.
Practical experience integrating AI/ML solutions into data pipelines, complex migrations, and system reconciliation.
Proven hands-on experience with Apache Kafka (installation, configuration, development).
Familiarity with cloud platforms (AWS mainly) and containerization (Docker, Kubernetes) is a plus.
Background in real-time analytics and event-driven architecture is preferred.
Experience with CI/CD platforms and related technologies.
Strong knowledge of data streaming concepts and distributed systems.
Hands-on experience with multiple technologies like APIs, Microservices, Event Streaming, Logging & Monitoring, Databases (SQL, NOSQL), Containers, Serverless Frameworks, DevOps, etc.
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Hard Skills & Tools

JavaPythonRESTful APIAI/ML solutionsApache KafkaAWSDockerKubernetesCI/CDdata streaming

Soft Skills

stakeholder relationshipscollaboration

Certifications

Bachelor’s degree in computer science