Senior Software Engineer with AI First

Description

• Evaluate and implement agentic AI tools that enhance developer workflows, including automated test generation, intelligent code review assistance, and deployment automation
• Architect and implement scalable, highly available systems using Amazon Web Services, Docker, and Terraform
• Design, develop, and ship product features end-to-end—spanning UI components, RESTful APIs, and cloud infrastructure—with increasing autonomy and technical ownership
• Apply advanced prompt engineering techniques to generate infrastructure-as-code templates and backend service scaffolding
• Participate in code reviews, architectural discussions, and sprint planning to drive technical excellence across the team
• Utilize AI-assisted debugging platforms to accelerate issue identification and resolution in production environments
• Establish and maintain software quality through robust CI/CD pipelines, comprehensive test automation, and code quality standards
• Investigate and resolve production issues, conducting thorough root cause analysis and implementing preventive solutions and performance optimizations
• Integrate GenAI tools like Anthropic Claude into your workflow for code generation, technical documentation, and automated testing
• Apply system design patterns including microservice architecture and serverless computing to build solutions that scale to millions of users

Requirements

• Bachelor's degree in Software Engineering (other Bachelor's degrees will not be considered)
• Experience building and maintaining CI/CD pipelines using tools like Jenkins, GitHub Actions, or GitLab CI
• Self-directed learning ability with capacity to independently research and master new technologies
• Frontend development experience with React or similar modern frameworks
• Experience with microservices architecture and distributed systems
• Strong sense of ownership and accountability for code quality and system reliability
• Experience scaling systems to handle significant user growth or traffic spikes
• 5-8 years of professional software development experience in a production environment
• Enthusiasm for staying current with emerging technologies, particularly AI-assisted development
• Experience with agentic AI systems for orchestrating complex workflows
• Strong proficiency in modern programming languages such as TypeScript, C#, Python, or JavaScript
• Track record of implementing AI-powered features or intelligent automation
• Demonstrated experience building and deploying web applications, with understanding of both frontend and backend development
• Backend API development using Node.js, C#/ASP.NET, or comparable frameworks
• Passion for developer experience and tools that enhance team productivity
• Solid grasp of software engineering fundamentals including data structures, algorithms, and design patterns
• Hands-on experience with cloud platforms, particularly AWS services (EC2, Lambda, S3, RDS, etc.)
• Practical knowledge of containerization (Docker) and infrastructure-as-code (Terraform)
• Active use of GenAI tools (ChatGPT, GitHub Copilot, Codeium, etc.) in your development workflow
• Collaborative mindset with excellent communication skills for technical discussions
• Proficiency with relational databases, especially PostgreSQL, including query optimization and schema design
• Understanding of security best practices and compliance requirements
• Track record of delivering pragmatic, maintainable solutions that balance technical elegance with business requirements

Benefits

Training + Development

Interview process

Visa Sponsorship

Security clearance