Senior Software Engineer (L4)

Exiger•McLean, VA

About The Position

Exiger is seeking Senior Software Engineers (L4) to build and scale backend services powering its 1ExigerAI platform. The role focuses on services that support capabilities such as real-time alerting, workflow automation, and supply chain investigation tools, helping customers uncover risks, streamline processes, and make decisions using AI-powered technology. This is a hands-on individual contributor position on a collaborative engineering team. The engineer partners with a technical lead, product manager, product designer, and other engineers to deliver reliable, scalable, high-performing software. The role includes ownership of projects, influence over technical decisions and architecture, and informal mentorship of other engineers. Exiger’s engineering organization uses AI-assisted tools such as Claude, Cursor, and GitHub Copilot and is evolving AI-enabled development workflows. The team works with Kanban, continuous delivery, and daily deployments. The position is remote or hybrid from McLean, Virginia; New York, New York; or Richmond, Virginia.

Requirements

Strong hands-on software engineering experience focused on backend development and production-grade applications.
Proficiency in Java and Spring Boot, or strong experience with comparable backend technologies and willingness to work in the core stack.
Experience designing, developing, and maintaining RESTful APIs, microservices, and distributed systems.
Solid understanding of databases, data modeling, and SQL.
Familiarity with cloud platforms such as AWS and containerized environments using Docker and Kubernetes.
Experience with CI/CD pipelines, automated testing, and modern software development practices.
Understanding of system design principles, application performance, scalability, and reliability.
Experience troubleshooting production issues and supporting applications in live environments.
Familiarity with messaging and asynchronous processing technologies such as Kafka, ActiveMQ, or Redis.
Experience using AI-assisted development tools, or a strong interest in incorporating AI into everyday engineering workflows.
Strong problem-solving skills, technical curiosity, and commitment to writing clean, maintainable code.
Ability to collaborate effectively with engineers and cross-functional stakeholders in a fast-moving environment.
Strong sense of ownership and accountability, with willingness to continuously learn and improve.

Responsibilities

Design, build, test, and maintain scalable backend services and APIs for the 1ExigerAI platform.
Develop and enhance product capabilities such as real-time alerting, workflow builders, and supply chain investigation tools.
Own features and projects from technical design through development, deployment, and production support.
Collaborate with engineering, product management, and design to translate business requirements into reliable technical solutions.
Build and maintain cloud-native applications using microservices, containerization, and modern infrastructure practices.
Contribute to system design discussions, architectural improvements, and technical decisions that improve scalability, performance, reliability, and maintainability.
Troubleshoot production issues, improve observability, and proactively strengthen system reliability.
Use AI-powered development tools such as Claude, Cursor, and GitHub Copilot throughout the software development lifecycle.
Help improve AI-enabled engineering workflows for development, testing, code reviews, deployment, and automation.
Participate in a collaborative engineering environment using Kanban, continuous delivery, and daily deployments.
Contribute to code reviews, share technical knowledge, and uphold engineering quality standards.
Guide the design and implementation of complex systems as a technical go-to person for a team or product area.
Design reusable components, services, and architectural patterns that improve engineering efficiency and scalability.
Navigate technical tradeoffs and influence architecture and engineering best practices.
Mentor engineers informally through technical guidance, code reviews, and collaborative problem-solving.
Take ownership of system quality, reliability, and long-term maintainability.