Head of Technology

Key Responsibilities

• Ensure engineering team develops high-quality, high-performance, scalable applications using best practices and the latest generation of technologies 
• Work collaboratively with product, data, and technology stakeholders to refine roadmaps for technical solutions 
• Provide technical leadership to multiple teams throughout the project lifecycle 
• Mentor, grow, and work with a skilled team while shaping the future of our products and balancing headcount budget 
• Create and maintain a culture of continuous learning and improvement of both the engineering team and CFRA systems 
• Lead in planning, implementation, and optimization of CFRA’s AWS cloud infrastructure and other infrastructure related costs 
• Lead in building and maintaining of self-service Continuous Integration and Continuous Delivery (CI/CD) tooling to support configurations, deployment, monitoring, observability, and lifecycle management of a wide range of compute workloads and services 
• Work closely with solutions architects, application developers, and quality assurance testers to advocate a DevSecOps culture within the team 
• Plan and assist leadership in security and compliance audits 
• Ensure necessary system security by using best in class cloud security solutions 
• Lead automation initiatives across the team especially within the QA area 
• Stay current with new technology options and vendor products, evaluating which ones would be a good fit for the organization 

Skills, Knowledge and Expertise

• Bachelor's degree in Computer Science, Information Systems or Engineering 
• A minimum of 15+ years of full stack development experience on enterprise web applications 
• A minimum of 10 years of experience leading an engineering team 
• Comprehensive experience with AWS toolkit including a solid understanding of CI/CD, Amazon S3, EC2, IAM, Lambda, Batch, Glue, API Gateway, Aurora/RDS, FSx, Cloud Formation, Route 53, etc 
• Experience with tools such as Jenkins, Artifactory, Terraform, etc. to build automation, CI/CD, Self-Service pipelines 
• Proficient in SQL and developing solutions using relational databases such as MySQL. 
• Proficient with software development lifecycle (SDLC) methodologies like Agile 
• Excellent analytical and communication skills are essential, with strong verbal and writing proficiencies 
• Ability to train and mentor 
• Experience leveraging AI tools and platforms to enhance engineering team productivity, code quality, and business problem-solving, including: 
  • AI-powered code review and quality assurance tools (e.g., GitHub Copilot, CodeGuru, SonarQube AI features) 
  • Intelligent project management and resource allocation using AI-driven analytics and predictive modeling 
    • AI-assisted technical documentation generation and knowledge management systems 
  • Automated testing and deployment optimization using machine learning insights 
  • AI-driven talent development and skill gap analysis for team growth planning 

• Experience with large language models (LLMs) and generative AI technologies, including integration patterns, prompt engineering, and RAG (Retrieval-Augmented Generation) architectures 
• Hands-on experience with AI/ML platforms and services such as AWS SageMaker, Bedrock, or similar cloud-based AI services; program certifications preferred 
• Experience implementing AI-powered features in financial applications, such as automated research summarization, document analysis, or intelligent data extraction 
• Great organizational and time-management skills 
• Ability to take complex technical concepts and communicate to technical and non-technical audience  
• Ability to juggle multiple projects, tasks, and deadlines 
• Acute attention to detail