Software Python Engineer

About the client:

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

Requirements:

• Background in writing production-ready software in Python;
• Expertise in containerization, scaling and load balancing;
• Experience productionizing 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 in-depth understanding of cloud platforms, AI lifecycle, and business problems to ensure analytics solutions are delivered efficiently, predictably, and sustainably.

Will be a plus:

• 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, install, 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 FT Data Science Team process and best practices;
• 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.