Tech Lead – Wealth Data Platform & API Integrations

NLB Services

Dallas (TX)

On-site

USD 100,000 - 130,000

Part time

14 days+

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Job summary

A leading technology consulting firm is looking for an experienced Tech Lead to drive Envestnet integrations and develop scalable applications. The ideal candidate will have strong expertise in Java and API development within Cloud environments. Responsibilities include leading a team, designing robust APIs, and ensuring seamless system integrations. The position is contract-based, and candidates must have experience with Google Cloud Platform and microservices architecture.

Qualifications

  • Mandatory experience in integrating Envestnet into banks or wealth firms.
  • Strong experience in Java development (Core Java, Spring, Spring Boot, Hibernate).
  • Hands-on experience in building and consuming RESTful APIs and SOAP web services.
  • Solid experience working with Google Cloud Platform (GCP).
  • Experience in designing and developing microservices using Spring Boot, Docker, and Kubernetes.

Responsibilities

  • Act as SME for Envestnet/Yodlee platforms.
  • Drive requirements and functional design for data aggregation solutions.
  • Support API integrations, UAT, and data validation.
  • Lead and mentor a team of developers, promoting best practices.
  • Integrate with various third-party systems ensuring seamless communication.

Skills

Envestnet Integration
Java
API Development & Integration
Cloud Platforms
Microservices Architecture
Version Control & CI/CD
Web Services
Database Skills
Unix/Linux

Tools

Google Cloud Platform
REST APIs
SOAP
Spring
Docker
Kubernetes
GitLab
SQL

Job description

A leading technology consulting firm is looking for an experienced Tech Lead to drive Envestnet integrations and develop scalable applications. The ideal candidate will have strong expertise in Java and API development within Cloud environments. Responsibilities include leading a team, designing robust APIs, and ensuring seamless system integrations. The position is contract-based, and candidates must have experience with Google Cloud Platform and microservices architecture.
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