Staff Software Engineer (Fullstack)

At FourKites we have the opportunity to tackle complex challenges with real-world impacts. Whether it’s medical supplies from Cardinal Health or groceries for Walmart, the FourKites platform helps customers operate global supply chains that are efficient, agile and sustainable.

Join a team of curious problem solvers that celebrates differences, leads with empathy and values inclusivity. 

As a Staff Software Engineer – Fullstack (AI/ML), you will play a pivotal role in designing and developing scalable, intelligent, and user-centric applications that integrate AI/ML capabilities into real-world logistics solutions. You’ll work at the intersection of data science and product engineering, contributing to strategic technical decisions and mentoring teams to build robust, high-performing systems.   What You’ll Do

• Design, develop, and deploy end-to-end fullstack applications — frontend (React/Angular) and backend (Java, Python, Node.js).
• Lead technical architecture and system design for complex, AI/ML-enabled product features.
• Collaborate closely with Data Science teams to integrate ML models into production environments using scalable MLOps practices.
• Build high-availability microservices and data pipelines with clean, maintainable code.
• Partner with Product, UX, and Engineering leadership to align on technical feasibility, scalability, and product vision.
• Ensure quality, security, and performance through code reviews, testing strategies, and CI/CD automation.
• Mentor junior engineers and contribute to a strong engineering culture.
• Stay current with emerging trends in AI/ML, cloud infrastructure, and scalable system design.

What You’ll Bring

• Education: Bachelor’s or Master’s degree in Computer Science, Engineering, or a related technical field.
• Experience: 8 -12 yrs years of software development experience with a strong foundation in fullstack engineering and distributed systems.
• Proficient in backend technologies like Java, Python, Node.js, and frontend frameworks such as React or Angular.
• Proven experience working on AI/ML-driven products — understanding of model integration, versioning, inference performance, and lifecycle management.
• Experience building scalable solutions on cloud platforms (AWS, GCP, or Azure).
• Strong knowledge of RESTful APIs, microservices, and event-driven architectures (Kafka, etc.).
• Experience with DevOps practices, CI/CD, Docker, Kubernetes, and infrastructure automation.
• Ability to work in cross-functional, agile teams across global time zones.
• Strong communication, leadership, and decision-making skills.

Nice to Have

• Domain knowledge in logistics, supply chain, or transportation systems.
• Familiarity with MLOps tools like MLflow, SageMaker, TensorFlow Serving, or similar.
• Exposure to real-time data processing frameworks (e.g., Apache Spark, Flink).
• Contributions to open-source projects or technical blogs.

 

Who we are:

FourKites®, the leader in AI-driven supply chain transformation for global enterprises and pioneer of real-time visibility, turns supply chain data into automated action. FourKites’ Intelligent Control Tower™ breaks down enterprise silos by creating a real-time digital twin of orders, shipments, inventory and assets. This comprehensive view, combined with AI-powered digital workers, enables companies to prevent disruptions, automate routine tasks, and optimize performance across As the leader in AI-driven supply chain transformation, FourKites pioneered the Intelligent Control Tower™ powered by the world’s largest real-time visibility network. Our platform creates comprehensive digital twins of your supply chain with AI-powered digital workers to automate resolution, improve collaboration and drive outcomes across all stakeholders. Unlike traditional control towers, we enable true real-time execution and intelligent fulfillment, transforming both your supply and customer

Benefits 

• Medical benefits start on first day of employment
• 36 PTO days( Sick, Casual and Earned) , 5 recharge days, 2 volunteer days 
• Home Office setups and Technology reimbursement
• Lifestyle & Family benefits 
• Annual Swags/ Festive Swags
• Ongoing learning & development opportunities ( Professional development program, Toast Master club etc.)