Champion engineering best practices including code quality, automated testing, continuous integration/deployment, and comprehensive monitoring and documentation across all development teams
Engage in architecting scalable, secure, and high-performance systems capable of processing millions of transactions while maintaining sub-second response times
Drive adoption of modern development methodologies, cloud-native architectures, and microservices patterns
Lead development of AI-powered recommendation engines, personalization systems, and intelligent sales automation tools that drive customer engagement and revenue growth
Stay current with emerging AI technologies and evaluate their potential application to financial services and e-commerce domains
Build, lead, and mentor multiple engineering managers and teams (20-50 engineers) including full-stack developers and quality assurance specialists
Foster a culture of technical excellence, innovation, continuous learning, and collaborative problem-solving
Establish clear career progression paths, implement effective performance management, and create mentorship programs that develop next-generation technical leaders with teams and with peers
Ensure delivery of high-quality, scalable software products that meet aggressive timelines while maintaining rigorous quality standards
Partner with executive leadership, Product, Sales, Marketing, and Customer Care teams to drive strategy and align engineering efforts with business objectives and revenue goals
Translate complex digital and AI engineering concepts into clear business value propositions for non-technical stakeholders
Manage stakeholder expectations while advocating for technical investments and engineering resources necessary for long-term success
Present technical roadmaps, progress updates, and strategic recommendations to executive leadership and board members.

Requirements

Bachelor's or Master's degree in Computer Science, Engineering, Machine Learning, or related technical field, or comparable industry experience
10+ years of progressive software engineering experience with 5+ years in engineering leadership roles, managing multiple teams
Expertise in cloud platforms (AWS, Azure, GCP), containerization, microservices, API design, and DevOps practices
Experience building secure, compliant financial applications with knowledge of payment processing, fraud detection, and regulatory requirements
Proven track record of scaling engineering organizations and delivering complex products in fast-paced, ambiguous environments
Exceptional communication skills with the ability to influence cross-functional teams and present to executive audiences
Experience with agile methodologies, project management, and balancing technical debt with feature delivery
Strong analytical and problem-solving skills with a data-driven decision-making approach.
Experience with specific AI applications such as recommendation systems, natural language processing, computer vision, or reinforcement learning; alternatively, expertise in AI platforms (Gemini, Cresta, etc.) is a plus
Knowledge of banking, insurance, lending, or investment products and associated regulatory environments.

Benefits

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Applicant Tracking System Keywords

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Hard Skills & Tools

software engineeringcloud platformscontainerizationmicroservicesAPI designDevOps practicesautomated testingcontinuous integrationAI applicationspayment processing

Soft Skills

communication skillsleadershipmentoringcollaborative problem-solvinganalytical skillsproblem-solving skillsinfluencingperformance managementstrategic thinkingculture of innovation

Certifications

Bachelor's degree in Computer ScienceMaster's degree in Computer ScienceMachine Learning certification