The Role

You will work in a fast-paced Agile environment designing, building, and operating backend systems that power decision intelligence capabilities for logistics service providers. You won't be a cog in a large engineering machine - you'll be close to the product, close to customers, and shipping things that matter.

What You'll Work On

• Design, build, and operate backend systems that power decision intelligence capabilities, using AI and analytics to help LSP customers make informed, timely, and confident supply chain decisions

• Build services and workflows that reduce manual effort and enable action - helping customers collaborate more effectively with carriers and partners

• Own and modernize core platform services such as identity and access management (IAM) and search infrastructure, keeping them secure, scalable, and extensible as new AI capabilities are introduced

• Transform large-scale logistics data into actionable insights - supporting 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 for reliable, scalable backend delivery

• Take shared ownership of development, testing, deployment, and operations for your team's systems

• Participate in on-call rotation, debugging and resolving issues across your team's services

• Improve observability, monitoring, and operational tooling to ensure system reliability

• Contribute to technical design discussions, code reviews, and documentation - setting a high bar for quality and maintainability

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

What We're Looking For

Qualifications

• 5+ years of professional experience building large-scale, cloud-based systems

• Strong programming and debugging skills with proficiency in Java

• Experience designing and building scalable Java-based microservices

• Experience designing and consuming APIs and web services (REST, OpenAPI/Swagger)

• Experience working with NoSQL and/or relational databases (MongoDB, DynamoDB, Postgres, or similar)

• Experience working in an Agile software development environment

• Comfortable using AI-assisted development tools (Cursor, Claude, GitHub Copilot, or similar) while maintaining high standards for code quality and correctness

Nice to Have

• Event-driven systems and stream-processing pipelines (Kafka, Kinesis, or similar)

• Containerization and orchestration (Docker, Kubernetes)

• Experience designing or working with agentic AI systems - multi-step or autonomous LLM-powered workflows

• Familiarity with agentic AI frameworks or patterns: task planning, tool invocation, stateful agents, workflow orchestration

• Building platform or framework-level solutions that enable AI-driven automation and decision-making

How You Work

• Clear communicator - you can explain technical decisions through design docs, discussions, and reviews, and work well with both technical and non-technical partners

• Analytical and comfortable with ambiguity - you make tradeoffs explicit and navigate uncertainty without waiting to be told what to do

• Strong sense of ownership - you voice ideas, take feedback, and iterate toward better solutions

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 3 days a week. Together, we're building something extraordinary-learn, grow, and thrive in our fast-paced, transformative environment.

We continually evaluate our pay ranges to reflect skills, experience, and market conditions. The base salary offered will be determined by assessing a candidate's experience and skills relative to the scope and responsibilities of the position, as well as the specific geographic location where the job will be performed. Base salary is one component of project44's total compensation package, which also includes stock options for all EOR and project44-employed team members, bonus or commission eligibility depending on role, and a benefits package tailored to your country of employment. Specific benefits package offerings vary by country and may include health, dental, and vision coverage, retirement plans, and paid time off, in line with local market standards and statutory programs. The base salary range for this position is USD130,000 - USD190,000