Engineering Lead

Job Description

What will you contribute

As part of Finastra's AI COE, we are seeking Engineering Leads to oversee engineering pods to successfully embed AI capabilities into LoanIQ.

Responsibilities & Deliverables

Your deliverables as an Engineering Lead will include, but are not limited to, the following:

Lead and manage a cross-functional engineering team including front-end, back-end, AI engineers, and DevOps specialists

Partner closely with the LoanIQ Product Owner to translate product vision and requirements into technical solutions

Oversee the design, development, and deployment of AI-enabled features for LoanIQ products

Establish engineering standards, best practices, and quality benchmarks for the delivery pod

Ensure technical excellence across all aspects of development including code quality, testing, and documentation

Manage sprint execution, technical planning, and resource allocation across the engineering team

Drive architectural decisions and technical strategy for AI integrations into LoanIQ products

Foster collaboration and knowledge sharing across front-end, back-end, AI, and DevOps disciplines

Remove technical blockers and resolve dependencies that impact team productivity and delivery

Establish and maintain CI/CD pipelines, deployment processes, and DevOps practices

Monitor system performance, reliability, and scalability, implementing improvements as needed

Mentor and develop engineering talent, providing technical guidance and career development support

Ensure engineering solutions meet security, compliance, and governance requirements

Collaborate with architecture and infrastructure teams to leverage shared platforms and services

Drive continuous improvement in engineering processes, tools, and team capabilities

Manage technical debt and balance feature delivery with platform stability and maintainability

Required Skills & Experience :9+Years

Understanding of LoanIQ domains

Strong technical leadership experience managing cross-functional engineering teams

Proven track record of delivering complex software solutions

Deep understanding of full-stack development including front-end, back-end, and infrastructure

Experience with AI/ML engineering including model integration, deployment, and monitoring

Strong knowledge of DevOps practices, CI/CD pipelines, and cloud infrastructure

Expertise in modern software development methodologies including agile and lean practices

Demonstrated ability to partner effectively with product owners and translate requirements into technical solutions

Experience leading teams through the complete software development lifecycle

Strong technical skills with hands-on experience in software architecture and design

Excellent communication skills with ability to explain technical concepts to non-technical stakeholders

Track record of building high-performing, collaborative engineering teams

Experience with microservices architecture, APIs, and cloud-native development

Strong problem-solving abilities with focus on pragmatic, scalable solutions

Understanding of software quality practices including testing, code reviews, and technical documentation