Engineering Lead, LaserPro

Finastra TechnologyAtlanta, GA
Hybrid

About The Position

As part of Finastra’s AI COE, we are seeking Engineering Leads to oversee engineering pods to successfully embed AI capabilities into LaserPro. 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 LaserPro Product Owner to translate product vision and requirements into technical solutions Oversee the design, development, and deployment of AI-enabled features for LaserPro 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 LaserPro 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

Requirements

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

Responsibilities

  • Lead and manage a cross-functional engineering team including front-end, back-end, AI engineers, and DevOps specialists
  • Partner closely with the LaserPro Product Owner to translate product vision and requirements into technical solutions
  • Oversee the design, development, and deployment of AI-enabled features for LaserPro 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 LaserPro 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

Benefits

  • Unlimited vacation, subject to local regulations and business priorities
  • Hybrid working arrangements
  • Paid time off for voting
  • Bereavement leave
  • Sick leave
  • Confidential one‑to‑one support through our Employee Assistance Program
  • Medical insurance
  • Life insurance
  • Disability insurance
  • Retirement plans
  • Paid time off for volunteering
  • Donation‑matching opportunities
  • Access to online learning and accredited courses through our Skills & Career Navigator tool
  • Global recognition program, Finastra Celebrates
  • Employee surveys that help shape our culture and ways of working
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