Senior Backend Developer (Python)

Responsibilities

• Design, develop, and maintain scalable, high-performance back-end systems for our video betting platform.
• Architect and implement backend services using Python (FastAPI or Flask) and other relevant technologies.
• Design and optimise data models for both SQL (PostgreSQL) and NoSQL (MongoDB) databases.
• Implement and manage video streaming services using technologies like HLS or DASH.
• Develop and maintain APIs for internal services and external integrations with betting platforms.
• Set up and manage CI/CD pipelines for containerised applications in production environments.
• Develop and maintain workflows using Temporal/Kafka for managing complex, long-running processes and ensuring fault tolerance.
• Collaborate in the design and management of AWS cloud infrastructure, working with services such as EC2, S3, RDS (Aurora), CloudFront, and Elemental MediaConvert.
• Optimise content delivery network (CDN) configuration and performance, focusing on improving edge delivery efficiency for video content.
• Implement and fine-tune caching strategies at various levels (CDN, application, database) to enhance overall system performance and reduce latency.
• Collaborate with front-end developers to ensure seamless integration of back-end services.
• Optimise application performance and ensure high availability in a cloud-based environment.
• Implement security best practices and ensure data protection compliance.
• Mentor junior developers and contribute to the technical direction of the team.

Requirements

• 5+ years of experience in Backend Development, with a focus on data-intensive applications.
• Strong experience with Python and frameworks (Go or Node.js experience is also a heavy plus).
• Proficiency in designing and implementing micro/multi/service architectures.
• Extensive experience with AWS services, including EKS, S3, CloudFront, and RDS.
• Hands-on experience with video streaming technologies (e.g., HLS, DASH).
• Strong knowledge of both SQL (preferably PostgreSQL) and NoSQL (e.g., MongoDB) databases.
• Experience with containerisation technologies (Docker) and orchestration platforms (Kubernetes).
• Familiarity with message brokers and distributed systems (e.g., Kafka).
• Experience setting up and managing CI/CD pipelines (e.g., GitLab CI, GitHub Actions).
• Strong understanding of RESTful API design principles and experience with gRPC.

Preferred qualifications

• Experience with Apache Kafka for building real-time data pipelines and streaming applications.
• Hands-on experience with Temporal or similar workflow engines for orchestrating distributed workflows.
• Experience in fintech, banking, betting, or trading software development.
• Familiarity with real-time bidding systems or high-frequency trading platforms.
• Knowledge of WebRTC or other real-time communication protocols.
• Familiarity with infrastructure as code tools (e.g., Terraform).
• Familiarity with serverless architectures and FaaS (Function as a Service).
• Security and compliance in finance-related applications.