Senior Software Engineer
About this role
FORTNA partners with the world’s leading brands to transform omnichannel and parcel distribution operations. Known world-wide for enabling companies to keep pace with digital disruption and growth objectives, we design and deliver solutions, powered by intelligent software, to optimize fast, accurate and cost-effective order fulfillment and last mile delivery. Our people, innovative approach and proprietary algorithms and tools ensure optimal operations design and material and information flow. We deliver exceptional value every day to our customers with comprehensive services and products including network strategy, distribution center operational design and implementation, material handling automated equipment, robotics and a comprehensive suite of lifecycle services.
At FORTNA, we believe in fostering a workplace that isn't just a job but a movement – a collective effort to redefine success and transform challenges into opportunities. "Join the Movement" encapsulates our commitment to a workplace culture that thrives on collaboration, celebrates diversity, and empowers every individual to contribute to something greater than themselves. Our Team. Our Passion. Our Approach.
PRIMARY RESPONSIBILITIES INCLUDE
- Design, develop, test, and maintain high-quality distributed applications within the FORTNA Warehouse Execution System (WES) platform.
- Participate in the architecture, design, implementation, and delivery of scalable warehouse automation and execution solutions.
- Collaborate with Product, QA, Infrastructure, and Services teams to deliver reliable and maintainable software solutions.
- Provide remote support, troubleshooting, and root-cause analysis for both new WES solutions and legacy WCS systems.
- Contribute to system reliability, performance optimization, scalability, observability, and operational excellence.
- Develop and maintain RESTful APIs, event-driven integrations, microservices, and enterprise application components.
- Assist QA and Infrastructure teams in test automation, deployment validation, packaging, and release activities.
- Participate in code reviews and contribute to engineering best practices, coding standards, and technical documentation.
- Support project customization efforts and assist implementation teams during customer deployments.
- Travel occasionally to customer sites to support solution qualification, testing, and go-live activities when required.
- Continuously learn and adopt new technologies, tools, and engineering practices, including AI-assisted software development tools.
- Share technical knowledge with team members and actively contribute to continuous improvement initiatives.
REQUIRED QUALIFICATIONS
- Bachelor's degree in Computer Science, Software Engineering, or a related field.
- 5+ years of professional software development experience.
- Strong experience with Java (Java 17 or later preferred) and concurrent/distributed application development.
- Strong understanding of Object-Oriented Analysis and Design (OOAD), software design patterns, and clean coding principles.
- Experience developing enterprise applications using modern Java frameworks and technologies (e.g., Spring Boot, Quarkus, Play Framework, Micronaut, or similar), including RESTful APIs and distributed systems.
- Experience with relational databases such as PostgreSQL, Oracle, or MySQL.
- Experience with messaging technologies, event-driven architectures, or message brokers (Kafka, NATS, RabbitMQ, ActiveMQ, IBM MQ, etc.).
- Experience with Git and modern build tools such as Maven or Gradle.
- Experience working with Docker and containerized applications.
- Familiarity with Linux-based development and deployment environments.
- Strong troubleshooting, debugging, and problem-solving skills.
- Good written and verbal English communication skills.
- Ability to work effectively in Agile/Scrum development environments.
- Strong collaboration skills and the ability to work with both technical and non-technical stakeholders.
PREFERRED QUALIFICATIONS
- Experience with Kubernetes and container orchestration platforms.
- Experience with observability and monitoring tools such as Grafana, Prometheus, ELK, OpenSearch, Splunk, or Datadog.
- Experience with CI/CD pipelines and DevOps practices.
- Experience with warehouse automation, warehouse execution systems (WES), warehouse control systems (WCS), logistics, supply chain, or industrial automation domains.
- Experience working with AI coding assistants such as GitHub Copilot, Cursor, ChatGPT, Claude, or similar developer productivity tools.
- Experience participating in technical design discussions, mentoring junior engineers, and driving engineering improvements.
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