Senior Full-Stack Developer
Senior Full-Stack Developer
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Job Description
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 were glad our paths have crossed.
About the Customer
The company is one of the worlds leading business news organizations recognized internationally for its authority integrity and accuracy. The customer has a recordpaying readership of one million threequarters 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 productionready 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 endtoend (Data/Dev/ML)Ops pipelines based on an indepth 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/cloudbased/inmemory 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 cuttingedge search capabilities using the latest technologies in semantic search
- Good understanding of the principles and tradeoffs of a microservices architecture
Responsibilities
- Champion instll 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 lowmaintenance wellmonitored 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 companywide processes frameworks and guidelines
- Develop an indepth understanding of FTs underlying data and data flow data structures.
- Supporting engineering product support on new capabilities and enhancements such as custom Search APIs
Employment Type
Full Time
