1 день назад
Senior Software Developer (Python) (AI)
Мэтч & Сопровод
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Описание вакансии
Текст:
TL;DR
Senior Software Developer (Python) (AI): Building scalable backend platforms, APIs, cloud-native services, and data products for analytics, automation, forecasting, optimisation, and AI-driven decision-making across fixed and mobile networks with an accent on Python engineering, cloud infrastructure, and distributed systems. Focus on designing microservices, deploying containerised applications, developing CI/CD pipelines, and integrating data science and MLOps workflows.
Location: Hybrid in London, with two days per week in the office at Brick Lane. Candidates must have the right to work in the UK; visa sponsorship is not available.
Company
is a media and entertainment company delivering television, streaming, broadband, mobile, sports, news, and digital products to millions of customers.
What you will do
- Design, develop, and maintain scalable software platforms, RESTful APIs, analytical applications, and microservices.
- Build cloud-native services supporting analytics, optimisation, forecasting, and AI workloads.
- Develop Python backend services using frameworks such as FastAPI, Flask, or Django.
- Design and deploy containerised applications with Docker and Kubernetes.
- Build CI/CD pipelines and support observability, monitoring, troubleshooting, incident resolution, security, reliability, and performance.
- Collaborate with data scientists, data engineers, network experts, and product stakeholders while contributing to architecture discussions and mentoring junior developers.
Requirements
- Strong commercial experience developing software applications with Python and modern Python frameworks.
- Strong knowledge of software engineering principles, testing, design patterns, maintainability, and code quality.
- Experience deploying applications on cloud platforms, preferably Google Cloud Platform, and hands-on experience with Docker and Kubernetes.
- Experience designing RESTful APIs, microservices, Git-based workflows, and CI/CD pipelines.
- Understanding of data engineering and analytical workflows, including ingestion, transformation, storage, and reporting.
- Strong problem-solving skills and the ability to work in agile, cross-functional teams.
Nice to have
- Experience supporting Data Science, Machine Learning, or AI workloads and using MLOps tools such as MLflow, Kubeflow, or Vertex AI.
- Knowledge of Apache Airflow and data processing technologies such as Pandas, Apache Beam, or Spark.
- Strong SQL skills and experience with BigQuery, PostgreSQL, or ClickHouse.
- Experience with observability tools, large-scale distributed systems, graph analytics, network modelling, optimisation algorithms, or telecommunications networks.
Culture & Benefits
- Hybrid working approach with flexibility over where and how work is performed.
- Free TV or NOW package, including Sports and Cinema.
- Pension package with up to 9% employer contribution.
- Private healthcare with mental health support, digital GP, and dental insurance.
- Discounts on products, Sharesave and Tech schemes, plus VIP rewards and experiences.
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