Senior Java Developer

Ready for a challenge?

Then Just Eat Takeaway.com might be the place for you. We're a leading global online food delivery platform, and our vision is to empower everyday convenience. Whether it's a Friday night feast, a post gym poke bowl, or grabbing some groceries, our tech platform connects tens of millions of customers with hundreds of thousands of restaurant, grocery and convenience partners across the globe.

About This Role

Join our Logistics Courier Pay Network team to help us lead, deliver, and care for our couriers and customers by building high-impact, real-time backend systems. As a Senior Backend Engineer within our Logistics domain, you will play a key role in designing and operating the services that power our courier network. You will own backend systems end-to-end, from data modelling to event flows, deployment, and production operations, and contribute to the architecture of an event driven platform.

Your mission is to deliver robust, performant, and observable backend services, working closely with engineers, product managers, and stakeholders to ship features that couriers and the wider logistics platform rely on every day.

You will champion modern backend practices, mentor peers, and help shape the future of backend engineering within the organization by combining deep backend expertise with a strong engineering mindset to deliver world-class distributed services at scale.

Location: Remote (Calgary, Toronto or Winnipeg)

Reporting to: Technology Manager

These are some of the key components to the position :

• Building and operating production backend services at scale, with strong proficiency in Java (Quarkus, Spring Boot) and RESTful API design (gRPC, GraphQL, or AsyncAPI a plus).
• Deep experience in event driven architectures (Kafka, SQS, SNS), pub/sub, async processing, idempotency, and Domain Driven Design (DDD, bounded contexts, sagas, eventual consistency, outbox pattern).
• Hands‑on expertise with relational (Aurora RDS, PostgreSQL, MySQL), NoSQL (MongoDB, DynamoDB), caching (Redis), data warehousing (BigQuery), schema design, query tuning, and migrations.
• Production deployment on AWS/Azure using Kubernetes (EKS), with strong mastery of CI/CD pipelines, Infrastructure-as-Code (Terraform/CloudFormation), GitOps, and performance/load testing (K6, Gatling, JMeter).
• Operational excellence using Datadog (or similar observability platforms) for metrics, logs, APM, and distributed tracing, working effectively in fast-paced, continuous delivery Agile environments.
• Active enthusiasm for AI-assisted development (Copilot, Cursor, Claude Code), making repos agent‑ready (AGENTS.md, CLAUDE.md), using AI agents for automated PRs/debugging, and applying prompt evaluation/governance.