Software Engineer (Sr. Software Engineer, DOE)

About the role

As a Software Engineer at Foureyes, you'll build, enhance, and maintain the cloud-based applications that power our platform. You'll collaborate closely with engineering and product while contributing across multiple products and technology stacks. We embrace AI-assisted development to accelerate delivery, improve collaboration, and raise engineering quality.

Responsibilities

• Design, build, test, deploy, monitor, and support software across multiple products, moving comfortably between diverse technology stacks as business needs evolve.
• Participate throughout the software development lifecycle, including technical design, implementation, testing, code review, deployment, and production support.
• Partner with product managers and engineers to deliver new capabilities, resolve production issues, and continuously improve our systems.
• Write clean, maintainable code, automated tests, and technical documentation.
• Design and evolve RESTful APIs and event-driven services with a focus on scalability, security, reliability, and developer experience.
• Build resilient distributed systems that prioritize performance, fault tolerance, and maintainability.
• Thoroughly test your own code and review and test code written by fellow engineers to ensure end-to-end quality.

Qualifications

• Minimum 3-5 years of experience with one or more modern programming languages and frameworks such as Python, Java, React, or TypeScript.
• Experience building cloud-native applications on AWS using services such as Lambda, S3, RDS, or similar.
• Experience with SQL, relational databases, Git-based development workflows, and infrastructure as code using AWS CDK, Terraform, or similar tools.
• Experience monitoring and troubleshooting production systems using observability platforms such as Datadog, Amazon CloudWatch, or similar tools.
• Enthusiasm for AI-assisted software development and an interest in using tools such as Claude Code, Cursor, GitHub Copilot, or similar to improve engineering productivity.
• Familiarity with agentic AI frameworks such as LangGraph, CrewAI, AutoGen, or Amazon Bedrock Agents, is a plus.
• Strong problem-solving skills, attention to detail, and the ability to quickly learn new technologies while contributing across multiple products and codebases.