Engineering Lead: AI-Driven Cloud & FinTech Risk

Jobtailor; Massachusetts; On-site; USD 140,000 - 200,000; Full time

Job summary

Jobtailor seeks a senior engineering leader to oversee a portfolio of cloud-based, AI-enabled projects in the United States. You will manage a team of developers across distributed microservices and full-stack systems, ensuring regulatory compliance and robust performance.

Ideal candidates bring 6+ years in software engineering, 4+ years of people management, and strong cloud experience (AWS, Azure, GCP). A Master’s degree is a plus, with familiarity in Agile practices and open source frameworks.

Qualifications

• Bachelor’s degree required.
• Minimum 6 years of software engineering experience.
• Minimum 1 year of cloud computing experience (AWS/Azure/GCP).
• Minimum 4 years of people management experience.
• Master’s degree preferred.
• 7+ years of people management preferred.
• 2+ years of Agile experience preferred.

Responsibilities

• Lead a portfolio of diverse technology projects and a team of developers.
• Create solutions meeting regulatory needs for the company.
• Stay current with technology trends and experiment with new technologies.
• Mentor members of the engineering community.
• Collaborate with digital product managers.
• Deliver cloud-based solutions supporting financial empowerment.
• Build and deploy AI-powered risk management solutions with the GRC team.

Skills

Cloud Computing

JavaScript

People Management

Agile Practices

AI-Powered Solutions

Education

Bachelor’s Degree

Master’s Degree

Tools

AWS

Microsoft Azure

Google Cloud

Interactive AI Tooling

Open Source Frameworks

Job description

Jobtailor seeks a senior engineering leader to oversee a portfolio of cloud-based, AI-enabled projects in the United States. You will manage a team of developers across distributed microservices and full-stack systems, ensuring regulatory compliance and robust performance.

Ideal candidates bring 6+ years in software engineering, 4+ years of people management, and strong cloud experience (AWS, Azure, GCP). A Master’s degree is a plus, with familiarity in Agile practices and open source frameworks.