Software Engineer

project44•Chicago, IL

4h•Onsite

About The Position

project44 is looking for a Software Engineer - Backend to join our engineering team. You will work in a fast-paced Agile environment designing, building, and implementing best-in-class integrations to accelerate how project44 connects to the world’s logistics networks.

Requirements

2-4 years of professional experience building large-scale, cloud-based systems
Strong programming and debugging skills with proficiency in Java
Experience in: Designing and building scalable Java-based microservices
Designing and consuming APIs and web services (REST, OpenAPI/Swagger)
Working with databases, including NoSQL and/or relational databases (e.g., MongoDB, DynamoDB, Postgres, or similar)
Working in an Agile software development environment
Using AI-assisted development tools for code generation, refactoring, and debugging (e.g., Cursor, Claude, GitHub Copilot, or similar)
Integrating AI-assisted workflows into daily development while maintaining high standards for code quality, security, and correctness
Strong communication skills, with the ability to clearly explain technical decisions through design docs, discussions, and reviews, and collaborate effectively with both technical and non-technical partners
A strong analytical approach to problem-solving, with comfort navigating ambiguity and making tradeoffs explicit
A sense of ownership, curiosity, and resilience - comfortable voicing ideas, incorporating feedback, and iterating toward better solutions
Candidates must be authorised to work in the US without current or future employer-sponsored visa support.
Our office is where ideas spark, connections thrive, and innovation comes alive. We are looking for candidates who are enthusiastic and committed to joining our team on-site, in our beautiful headquarters four days a week. Together, we’re building something extraordinary—learn, grow, and thrive in our fast-paced, transformative environment.

Nice To Haves

Building event-driven systems and stream-processing pipelines (Kafka, Kinesis, or similar)
Containerization and orchestration (Docker, Kubernetes)
Designing or working with agentic AI systems, including multi-step or autonomous LLM-powered workflows
Familiarity with agentic AI frameworks or patterns (e.g., task planning, tool invocation, stateful agents, workflow orchestration)
Building platform or framework-level solutions that enable AI-driven automation and decision-making

Responsibilities

Design, build, and operate backend systems that power decision intelligence capabilities, using AI and analytics to help customers make informed, timely, and confident supply chain decisions
Build services and workflows that reduce manual effort and enable action, empowering customers to collaborate more effectively with carriers and partners across the supply chain
Own and modernize core platform services, such as identity and access management (IAM) and search infrastructure, ensuring they remain secure, scalable, and extensible as new decision intelligence capabilities are introduced
Transform large-scale logistics data into actionable insights and outcomes, supporting use cases such as recommendations, decision support, and automated actions
Partner closely with product, data, and design to translate ambiguous customer problems into well-scoped, scalable technical solutions
Build and operate systems on Google Cloud Platform (GCP), leveraging managed services to deliver reliable and scalable backend solutions
Take shared ownership of development, testing, deployment, and operations for the systems owned by your team
Participate in a team on-call rotation, debugging and resolving issues across your team’s services
Improve observability, monitoring, and operational tooling to ensure system reliability and a strong on-call experience
Contribute to technical design discussions, code reviews, and documentation, helping set a high bar for quality and maintainability within the team