We are looking for a skilled and motivated Senior Python Backend Engineer to join our Surveillance Engineering team. The ideal candidate will have a deep understanding of software development and technical expertise. This is a hands-on role for someone who wants both depth and ownership: youll design and build complex components, drive architecture and technology-selection decisions, and stay close to the product in production. The position requires strong collaboration and communication skills as you will be working alongside engineers, data scientists, and domain experts.
About the Surveillance Group: The Surveillance group at our company builds and operates advanced AI solutions. Our team is composed of engineers, data scientists and subject matter experts who work together to deliver a high-quality, production-ready Surveillance product. We push the boundaries of what is possible and measure ourselves by the impact we deliver to our clients.
Lets get down to business:
What Youll Do:
Design, build and maintain the software infrastructure and solutions that make up our Surveillance pipeline, combining classic machine learning models and GenAI models with complex business logic and analytical components.
Own significant architecture decisions and evaluate and select the technologies we build on.
Solve complex engineering problems end to end, from investigation and design through implementation and rollout.
Collaborate with engineers, data scientists and subject matter experts to deliver high-quality, production-ready that are fully integrated and scalable.
Support the product in production: investigate issues, improve observability, and make the system easier to run.
Build and operate services in containerized environments (Docker, Kubernetes) on AWS.
Hold a high engineering bar: meaningful unit tests, solid CI/CD following best practices.
Keep current with developments in software engineering and production ML infrastructure.
Requirements: Experience and Skills:
5+ years of professional Python development experience - MUST
Proven experience designing software architecture for production systems - MUST
Strong analytical and problem-solving skills, including the ability to reason about and improve existing systems.
Strong background in Linux and containerized environments (Docker, Kubernetes) - MUST
Hands-on experience with AWS.
Experience with distributed data and messaging technologies such as Elasticsearch/OpenSearch, Kafka, RabbitMQ, and Redis
Experience with unit testing and CI/CD practices.
Experience running and supporting production environments
Experience working closely with Data Science teams - Advantage
Excellent communication skills and a genuine team player.
Self-motivated, results-oriented and well organized.
This position is open to all candidates.