We provide technology that community financial institutions use to manage risk and drive growth. Our solutions automate key processes – from anti-money laundering to fraud detection to CECL readiness to lending workflows - empowering our customers by addressing their Enterprise Risk Management needs.
Abrigo is looking for a Senior Software Engineer who will be responsible for leading the design, development, and implementation of our Financial Crimes software solutions. We are looking for a hands-on individual contributor who embraces ownership and entrepreneurship while collaborating seamlessly across engineering, product and implementation teams.
Primary responsibilities include providing expertise and guidance on cloud-native architecture (AWS), SAAS/PAAS application development, and large-scale data platforms, while ensuring our delivery of high-quality, scalable, and secure solutions that meet our business needs. This position will be based out of our office in Raleigh, NC or Austin, TX or remote.

Solution Design and Development: Translate business requirements into technical designs, considering scalability, reliability, security, and cost-effectiveness in the AWS cloud.

• AI-First coding practice: Be conversant with modern AI-First development practices through extensive adoption of tools like CoPilot, Augment Code, Claude Code in all stages of design-develop-deploy.
• AI/ML Integration: Design, develop, and implement AI/ML models tailored to the specific needs of the web application, including recommendation systems, predictive analytics, natural language processing, data analytics, and more.
• AWS Services Expertise: Develop and deploy applications leveraging various AWS services including EC2, S3, RDS, Lambda, and more, as needed by the project.
• Code Quality and Best Practices: Write clean, efficient, and well-documented .NET code, adhering to coding standards and implementing robust testing strategies.
• Performance Optimization: Continuously monitor and optimize applications for speed, scalability, and performance within the AWS environment, leveraging tools and techniques like caching and load balancing.
• Security Focus: Implement best practices for security and data protection, ensuring secure coding and compliance with industry standards and regulations.
• Troubleshooting and Support: Diagnose and resolve complex software issues in production environments, exhibiting strong problem-solving and analytical skills

• Solution Design and Development: Translate business requirements into technical designs, considering scalability, reliability, security, and cost-effectiveness in the AWS cloud.

• AI-First coding practice: Be conversant with modern AI-First development practices through extensive adoption of tools like CoPilot, Augment Code, Claude Code in all stages of design-develop-deploy.

• AI/ML Integration: Design, develop, and implement AI/ML models tailored to the specific needs of the web application, including recommendation systems, predictive analytics, natural language processing, data analytics, and more.
• AWS Services Expertise: Develop and deploy applications leveraging various AWS services including EC2, S3, RDS, Lambda, and more, as needed by the project.
• Code Quality and Best Practices: Write clean, efficient, and well-documented .NET code, adhering to coding standards and implementing robust testing strategies.
• Performance Optimization: Continuously monitor and optimize applications for speed, scalability, and performance within the AWS environment, leveraging tools and techniques like caching and load balancing.
• Security Focus: Implement best practices for security and data protection, ensuring secure coding and compliance with industry standards and regulations.
• Troubleshooting and Support: Diagnose and resolve complex software issues in production environments, exhibiting strong problem-solving and analytical skills.