Software Engineer working on AI technology that helps businesses make data-driven decisions. Collaborating with cross-functional teams to develop scalable, reliable software solutions.
Responsibilities
Contributing towards features, while guiding them from conception to production, ensuring they meet our high standards for quality, reliability, and performance
Writing clean, readable, and maintainable code that can be easily understood and extended by your teammates and your future self
Building robust observability into your solutions through comprehensive logging, tracing, and metrics that enable rapid issue diagnosis and root cause identification
Contributing to the breakdown of complex problems into manageable, deliverable tasks
Working with services that process millions of documents daily across hundreds of markets and languages
Designing and implementing APIs that are performant, secure, and developer-friendly
Optimising database queries and data models for systems handling large volumes of real-time data
Understanding distributed systems principles to build resilient, scalable solutions
Working closely with cross-functional teams, including product managers, designers, and other engineers, to deliver customer value
Maintaining a product engineering mindset and being comfortable discussing the tradeoffs between one approach and another while keeping our users front and centre
Participating actively in team ceremonies and contributing to our culture of continuous improvement
Pair programming with team members to share knowledge and deliver high-quality solutions
Clearly articulating technical concepts to both technical and non-technical stakeholders
Participating in product and engineering forums, committed to maintaining high standards and sharing knowledge across the wider Product & Technology (P&T) group
Requirements
Working with varied technologies and languages, such as Clojure, Python, Typescript
Experience with API design and integration, including RESTful services
Comfortable using different databases (relational and non-relational) and storage systems, such as ElasticSearch, PostgreSQL, S3, DynamoDB, Redis
Understanding of distributed systems concepts and microservices architecture
Experience with cloud platforms (AWS) and infrastructure-as-code
Experience with data pipeline orchestration and transformation tools (e.g., Airflow, Argo Workflows, dbt, AWS Batch, Athena, pandas) is a plus
Proficiency in debugging complex issues and performance optimisation
Security-aware development practices and understanding of common vulnerabilities
Willingness to work across the stack, comfortable with both backend services and frontend interfaces
Strong focus on observability and explainability over extensive unit testing
Experience implementing comprehensive monitoring, alerting, and logging strategies
Understanding of DevOps practices, including CI/CD pipelines and deployment strategies
Excellent documentation skills for both technical and user-facing content
Experience with version control (Git) and collaborative development workflows
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