Senior Software Engineer

Description

Why project44?

At project44, we believe in better.

We challenge the status quo because we know a better supply chain isn’t just possible—it’s essential. Better for our customers. Better for their business. Better for the world. With our Decision Intelligence Platform, Movement , we’re redefining how global supply chains operate. By transforming fragmented logistics data into real-time, AI-powered insights, we empower companies to connect instantly, see clearly, act decisively, and automate intelligently. Our Supply Chain AI enhances visibility, drives smarter execution, and unlocks next-gen applications that keep businesses moving forward. Headquartered in Chicago, IL with a 2nd HQ in Bengaluru, India we are powered by a diverse global team that is tackling the toughest logistics challenges with innovation, urgency, and purpose. If you’re driven to solve meaningful problems, leverage AI to scale rapidly, drive impact daily, and be part of a high-performance team – we should talk.

project44 is looking for a Senior 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.

Key accountabilities: What you’ll work on

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

Mentor and support other engineers through code reviews, pairing, and technical guidance

Qualities

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

Requirements

• 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
• Desirable and helpful (but not necessary) are experience in:
• 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
• Work Authorization: Candidates must be authorised to work in the US without current or future employer-sponsored visa support.
• In-office Commitment: 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 Three days a week . Together, we’re building something extraordinary—learn, grow, and thrive in our fast-paced, transformative environment.