Do you have a passion for sports and streaming technology?
We will only reply to people who are truly a fit. Must be Staff level.
Must be an expert in Python. Expert with AWS. Must have an Appetite for sports
No C2C or Third parties!!!
THE OUTCOMES WE EXPECT.
Drive consumer engagement by leading the team to implement impactful data driven features.
Outcome/Key Result: Fine tune Recommender for short-form content
Outcome/Key Result: Develop decision logic to automatically detect significant score changes within a sporting event
Outcome/Key Result: Create novel applications of our internal data to improve streaming experience
Outcome/Key Result: Enhance the technology and data culture through enablement programs and technical mentorship.
Technical Expertise
Our Staff Software Engineer acts as a subject matter expert in data analytics and science, sharing knowledge and insights with the team and driving data initiatives forward. They take ownership of critical technical challenges and provide guidance to the team in resolving complex issues. They lead by example when it comes to code quality, software design, and adherence to coding standards, and promote best practices while driving technical direction.
Influential Leadership
While being an individual contributor, our Staff Software Engineer mentors and coaches junior and mid-level engineers, fostering their professional growth and skills development. They ensure that a culture of innovation and inclusivity is fostered and protected. They also play a key role in recruiting and onboarding new engineering talent, contributing to the growth of the team.
Cross-Functional Collaboration
Our Staff Software Engineer leads cross-functional teams and projects, coordinating efforts, and ensuring effective communication between team members while acting as a technical point of contact for these team members and providing guidance on technical matters. They represent the engineering team in meetings with stakeholders, articulating technical solutions and project progress. Our staff software engineer is passionate about collaborating with engineering and product leadership to define long-term technical strategies and roadmaps and contributing to the overall software architecture. They are an evangelist for best practices in software development not only within their own team, but across the organization.
THE TALENTS YOU BRING.
Bachelor's degree in Computer Science or related field.
8+ years of experience in software engineering.
Excellent problem-solving and analytical skills.
Strong communication and collaboration skills.
Strong understanding of cloud native software development principles and design patterns.
Strong programming skills in Python
Strong understanding of event-driven architecture and distributed systems.
Strong understanding of domain-driven design (DDD) principles and practices.
Experience with agile software development methodologies.
Experience with cloud computing platforms (e.g., AWS, Azure, Google Cloud Platform) is a plus.
Experience with CI/CD tools (e.g., Jenkins, Travis CI, CircleCI) and related technologies (e.g., Git, Docker, Kubernetes).
Experience with relational and non-relational databases (e.g., Postgres, MySQL, MongoDB, Cassandra, DynamoDB) in a cloud native environment.
Experience with stream processing such as Flink SQL is a plus.
Experience with ML Libraries (e.g., TensorFlow, Keras, PyTorch, scikit-learn) is a plus
HOW YOU PLAY.
Ownership over Participation
You take responsibility for achieving holistic outcomes, prioritize key objectives, and adapt quickly when situations require a different approach. You follow through even against the toughest challenges.
Team over Stars
You are a bridge builder, establishing processes and relationships with teams outside your own. You work to rally around common goals, find win-win solutions, compromise when necessary, and help others succeed.
Growth over Comfort
You are driven by a desire to grow and actively seek opportunities to expand your comfort zone, skills, and confidence. You embrace new challenges with curiosity, accepting discomfort and failure as opportunities to learn.
Fairness over Popularity
You approach decisions with a scientist's mindset, challenging your assumptions and remaining objective. You consider long-term impact rather than relying on short-term gains, proactively seek others' perspectives, and manage emotions in decision-making.