Python Contract Engineer

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Python Contract Engineer, offering a contract length of "unknown," with a pay rate of "unknown," and remote work location. Key skills include Python, NoSQL databases, cloud platforms, and agile practices. Experience in modern web applications is required.
🌎 - Country
United Kingdom
πŸ’± - Currency
Β£ GBP
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πŸ’° - Day rate
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πŸ—“οΈ - Date discovered
August 30, 2025
πŸ•’ - Project duration
Unknown
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🏝️ - Location type
Unknown
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πŸ“„ - Contract type
Unknown
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πŸ”’ - Security clearance
Unknown
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πŸ“ - Location detailed
London Area, United Kingdom
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🧠 - Skills detailed
#Programming #REST (Representational State Transfer) #Python #Observability #Scripting #NoSQL #TypeScript #Databases #Agile #Cloud #Django #MongoDB #AWS (Amazon Web Services) #Datadog #Automation #JavaScript #DynamoDB #Kubernetes #Monitoring #GCP (Google Cloud Platform) #AI (Artificial Intelligence) #DevOps
Role description
The Company: My client are a leading tech company at the forefront of AI innovation, building the foundational data infrastructure that powers the development of next-generation AI models. Their product is designed to revolutionize the way research is conducted, ensuring high-quality, diverse, and human-generated data is at the core of AI advancements. The Role: They are looking for a Senior Software Engineer with a "product builder" mindset to play a pivotal role in the development and guidance of our product. As a "t-shaped" engineer, you will bring broad practical knowledge across various areas of software development, complementing and supporting our growing team while potentially having a deeper specialization in front-end or back-end systems. This is an exciting opportunity to leverage your skills and experience to significantly influence the trajectory of our product. What You'll Bring: β€’ Deep understanding of modern web applications. β€’ Experience building applications with scripting languages and using NoSQL databases. β€’ Experience using Python, or a similar language. β€’ Knowledge of Event-Driven Architecture. β€’ Experience using major cloud providers (e.g., AWS, GCP). β€’ An understanding of the importance of driving quality into code through test automation. β€’ Experience supporting applications in production, with a demonstrable understanding of good observability practices within a full-stack environment (e.g., RUM, Tracing). β€’ Experience working in a collaborative environment with strong engineering practices. β€’ A focus on the product life cycle and customer value. β€’ An understanding of continuous, iterative improvement driven by data and a culture of feedback. β€’ A passion for software development with an appetite for learning and self-improvement. What You'll Be Doing: β€’ As a member of a cross-functional, stream-aligned team, you will work collaboratively with a small team of engineers, a tech lead, a product manager, and a designer. β€’ Using agile software development practices and a product mindset, you will work as a team to plan, build, and support software that our customers love. β€’ You will be highly self-motivated and energetic, and enjoy working in a fast-paced environment with a bias for action. β€’ Collaborate with teams outside of product engineering and work closely with customers to understand their needs. β€’ Be comfortable working across all the major cloud providers. β€’ With a "You Build It, You Run It" mindset, you will have intimate knowledge of our products from code commit through to production operation. β€’ Support production systems with monitoring tools and strive for stable system observability. β€’ Champion our engineering principles, foster a growth mindset, and help improve our engineering culture. β€’ Push the boundaries, question the status quo, and ensure that what we are building has high value and impact for our users. Key Technologies: β€’ Cloud Platforms: Major cloud providers. β€’ Programming Languages: Python, JavaScript, and TypeScript. β€’ Frameworks: Vue.js, Django Rest Framework, Container-based and Serverless architectures. β€’ Databases: MongoDB and DynamoDB. β€’ DevOps and Monitoring: CI/CD tools, container orchestration (Kubernetes), message queues, and monitoring platforms like DataDog.