Senior Full-Stack Developer at Bonapolia

We are looking for a motivated Senior JavaScript Developer with a deep understanding of the latest trends to join our international team. Whether you want to prove your skills or be part of something powerful, we’re glad our paths have crossed.

About the Customer

The company is one of the world’s leading business news organizations, recognized internationally for its authority, integrity, and accuracy. The customer has a record-paying readership of one million, three-quarters of which are digital subscriptions.

Project Tech Stack

• JavaScript, TypeScript, NodeJS, Python, React
• SQL
• AWS: ECS/EKS
• Streaming technologies like Kafka, Spark, or Flink
• Elastic Search
• GitHub, CircleCI
• Monitoring, Observability: Graphite, Grafana, Splunk

Requirements

• Background in writing production-ready software in JavaScript or another modern OOP language
• Expertise in containerization, scaling, and load balancing
• Experience in Machine learning algorithms or Data science models
• Practice in designing and developing RESTful APIs
• Highly proficient in the programming languages relevant to the Data and Content Analytics domain at the FT - Python and JavaScript
• Competency in developing end-to-end (Data/Dev/ML)Ops pipelines based on an in-depth understanding of cloud platforms, AI lifecycle, and business problems to ensure analytics solutions are delivered efficiently, predictably, and sustainably

English level

Intermediate+

Nice to Have

• Experience with streaming applications such as Kafka streams, Spark streaming
• Skills in modern database technologies (AWS/cloud-based/in-memory etc.), scripting languages, big data technologies
• Grounding in developing monitoring and maintenance systems for ML models, specifically those based on text data using NLP technologies
• Awareness of developing cutting-edge search capabilities using the latest technologies in semantic search
• Good understanding of the principles and trade-offs of a microservices architecture

Responsibilities

• Champion, instаll, and develop frameworks for software engineering best practices within NLP and Machine Learning for content use cases
• Support the Content Analytics team with building, documenting, and testing machine learning pipelines in line with the FT Data Science Team process and best practice
• Work collaboratively with Software engineers and Product managers to deploy and operate systems
• Design and implement low-maintenance, well-monitored, secure, and scalable solutions to content analytics problems
• Being able to establish and be a promoter of good coding and engineering practices for NLP and ML within Content Analytics
• Contribute to company-wide processes, frameworks, and guidelines
• Develop an in-depth understanding of FT’s underlying data and data flow data structures.
• Supporting engineering product support on new capabilities and enhancements, such as custom Search APIs