Senior Software Engineer

Sportradar

Vienna, Austria

About the role

As a Senior Software Engineer, you will play a key role in designing, developing, and maintaining software solutions that empower the Computer Vision Teams (also part of the Automated Content Unit) to more easily and reliably train, evaluate and deploy complex computer vision and AI systems in production. You will develop software solutions for these systems, including databases, APIs, tools, and services. You will use your software engineering expertise to propose and implement software solutions, based on requirements, that will help the team deliver quickly and efficiently.

Responsibilities

Design, build, test, deploy and maintain libraries, components and backend services for our computer vision applications, including data processing pipelines, machine learning model training infrastructure, and API endpoints;
Participate in analyzing business requirements and designing new functionalities, breaking down complex and abstract requirements into smaller concrete components that will help the team deliver quickly and efficiently;
Research new technologies and methodologies to address technical issues;
Contribute to the continuous improvement of existing software solutions.

The challenge

Design, build, test, deploy and maintain services hosted in the cloud, that are part of a larger system;
Improve the reliability and efficiency of our stack;
Help reducing the time-to-market of our computer vision solutions;
Write clean, scalable, documented, and understandable code;
Participate in code review processes;
Build reusable code libraries;
Design, implement, and extend APIs.

Your skills

Proficiency in Python. Experience with other languages will be considered a plus;
Strong experience in managing larger projects from their conception to their maturity;
Expertise in CI/CD pipelines for software release lifecycle;
Experience with frameworks for web APIs (Flask, FastAPI, ...), API specifications (OpenAPI, gRPC);
Familiarity of Cloud Service Providers (especially AWS);
Solid knowledge of containerization technologies and processes;
Experience with databases (relational and non-relational);
Knowledge of lifecycle of ML/DL applications;
Excellent communication skills;
Ability to work independently and as part of a team;
Strong organizational and problem-solving skills.