Operate in an AI-first development model, using coding assistants, agentic workflows, and automation as the primary means of building, testing, and iterating on software solutions.
Continuously develop and refine your personal AI-driven development workflow to improve delivery speed and code quality.
Design, build, and maintain products and solutions using Java and/or Node.js, with a focus on reliability, readability, and testability.
Deliver features end-to-end, in collaboration with the other tech teams and peers.
Produce production-ready code independently on clear tasks, and with collaboration on more complex or ambiguous ones.
Contribute to technical discussions, to design reviews, and implement solutions in line with team architecture standards.
Proactively identify and address bugs, tech debt, and reliability risks.
Support and contribute to CI/CD pipelines, observability and deployment tooling.
Collaborate with and actively learn from more senior engineers; support junior team members when opportunities arise.
Share knowledge of AI tools and techniques with the wider team, helping build our collective AI capability.
Partner closely with product managers and stakeholders to translate requirements into clear, maintainable engineering solutions.

2–4 years of professional backend software engineering experience
Working proficiency in Java (Spring Boot) and/or Node.js for building backend services
Solid grasp of software design fundamentals: clean code, SOLID principles, RESTful API design, and basic distributed systems concepts
Experience with relational and/or NoSQL databases (e.g. PostgreSQL, MySQL, DynamoDB, Redis)
Comfortable working in cloud-native environments (AWS preferred); some exposure to containerization (Docker) and IaC (Terraform)
Familiarity with messaging platforms (e.g. Kafka, SQS/SNS) is a plus
Good testing practices: unit and integration testing; awareness of TDD/BDD approaches

Software Engineer – BackEnd

Key skills