Overview
Remote
On Site
Full Time
Skills
Debugging
Collaboration
Quick Learner
Accountability
Servers
MySQL
Relational Databases
Amazon Web Services
Amazon S3
Amazon DynamoDB
Amazon SQS
Adaptability
Logistics
Recruiting
FOCUS
Artificial Intelligence
Real-time
GraphQL
KPI
Code Review
Documentation
Soft Skills
Java
Kotlin
API
Linux
Web Services
OOD
Design Patterns
Data Structure
Algorithms
Continuous Integration
Continuous Delivery
Docker
Kubernetes
IaaS
Leadership
Analytical Skill
Attention To Detail
Conflict Resolution
Problem Solving
Organized
Communication
Job Details
Primary responsibilities (daily/weekly):
Developing features and bug fixes for the GraphQL Sports APIs
Debug and identify data problems. Create tickets for ingestion team
Participate in code reviews
Coordinate with web FE team and other client teams to identify and support data gaps in Sports API
Any preferred industries or companies for background? Any experience in sports
Desired personality or work style:
work independent, collaboration, communication skill, problem solver, fast paced environment, quick learner, accountable.
passion for sports and fantasy sports
Experience developing GraphQL servers
Experience with MySQL or other relational databases
Experience using docker
Expertise in highly available distributed data services
Experience with AWS services like S3, DynamoDB, SQS, API Gateway
Experience in using AI to develop code and solve problem
Key attributes or values sought in the candidate:
work as a team. Build solutions that are maintainable. Quality driven. Flexible and adaptable.
Recruitment & Logistics
Hiring timeline and deadlines: 4 to 6 weeks.
Interview process (who, how many rounds): 1-2 rounds
Location and remote work options: Ok to work anywhere in US
Time zone preferences or travel requirements: Should be able to work in PST
What has worked well in hiring for similar roles?
Focus on candidates with strong communication skills
Any additional details or red flags to note about the role or candidate?
Candidates with sports fandom of some type greatly preferred. We have found candidates that watch sports have a much easier time understanding our data schemas.
Quals--
Overview of the team: Yahoo Sports Backend team
Yahoo! Sports is looking for seasoned back-end developers who are passionate about technology and excited about the potential of AI-driven innovations in sports experiences. Join our growing team to help define and build the sports data platform supporting our top-rated sports and fantasy apps.
Key team goals:
As a back-end developer, you'll work with a team of talented engineers to design and build scalable, efficient systems that deliver real-time sports data, personalized experiences, and engaging fan interactions used by millions worldwide. If you're passionate about building world-class technology and excited to push the boundaries of what's possible in sports tech, we'd love to hear from you!
Key projects or initiatives for the role:
Support EOL of legacy sports API by addressing feature gaps in modern GraphQL sports APIs
Provide data API support for sports web redesign
Success metrics or KPIs for this role:
Completions of tasks with quality in a timely manner
Comprehensive tests delivered with each change
Clear communication with stakeholders on expectations and timelines
Timely participation in the code review process for peers.
Appropriate documentation added.
How is success measured?
Completion of assigned deliverables on schedule
Deliverables demonstrate high quality and are accompanied with tests.
Clear communication with clients to ensure smooth integration with APIs
Supporting documentation added as necessary
Candidate Profile
Must-have skills/qualifications (technical, soft skills, certifications, tools):
5+ years of Java or Kotlin development experience, including building and supporting user-facing web products
5+ years of experience with server-side API programming on Linux, focusing on scalable, high-performance web services
Strong fundamentals in object-oriented design, design patterns, data structures, algorithm design, and problem-solving
Experience with CI/CD pipelines, containerization (Docker, Kubernetes), and cloud infrastructure
Commitment to well-designed, well-documented code
Ideal experience level (years, leadership, industries): 8+years of experience
Exceptional analytical aptitude and attention to detail
Strong organizational and problem-solving skills
Self-motivated, well-organized team player
Excellent oral and written communication skills
Developing features and bug fixes for the GraphQL Sports APIs
Debug and identify data problems. Create tickets for ingestion team
Participate in code reviews
Coordinate with web FE team and other client teams to identify and support data gaps in Sports API
Any preferred industries or companies for background? Any experience in sports
Desired personality or work style:
work independent, collaboration, communication skill, problem solver, fast paced environment, quick learner, accountable.
passion for sports and fantasy sports
Experience developing GraphQL servers
Experience with MySQL or other relational databases
Experience using docker
Expertise in highly available distributed data services
Experience with AWS services like S3, DynamoDB, SQS, API Gateway
Experience in using AI to develop code and solve problem
Key attributes or values sought in the candidate:
work as a team. Build solutions that are maintainable. Quality driven. Flexible and adaptable.
Recruitment & Logistics
Hiring timeline and deadlines: 4 to 6 weeks.
Interview process (who, how many rounds): 1-2 rounds
Location and remote work options: Ok to work anywhere in US
Time zone preferences or travel requirements: Should be able to work in PST
What has worked well in hiring for similar roles?
Focus on candidates with strong communication skills
Any additional details or red flags to note about the role or candidate?
Candidates with sports fandom of some type greatly preferred. We have found candidates that watch sports have a much easier time understanding our data schemas.
Quals--
Overview of the team: Yahoo Sports Backend team
Yahoo! Sports is looking for seasoned back-end developers who are passionate about technology and excited about the potential of AI-driven innovations in sports experiences. Join our growing team to help define and build the sports data platform supporting our top-rated sports and fantasy apps.
Key team goals:
As a back-end developer, you'll work with a team of talented engineers to design and build scalable, efficient systems that deliver real-time sports data, personalized experiences, and engaging fan interactions used by millions worldwide. If you're passionate about building world-class technology and excited to push the boundaries of what's possible in sports tech, we'd love to hear from you!
Key projects or initiatives for the role:
Support EOL of legacy sports API by addressing feature gaps in modern GraphQL sports APIs
Provide data API support for sports web redesign
Success metrics or KPIs for this role:
Completions of tasks with quality in a timely manner
Comprehensive tests delivered with each change
Clear communication with stakeholders on expectations and timelines
Timely participation in the code review process for peers.
Appropriate documentation added.
How is success measured?
Completion of assigned deliverables on schedule
Deliverables demonstrate high quality and are accompanied with tests.
Clear communication with clients to ensure smooth integration with APIs
Supporting documentation added as necessary
Candidate Profile
Must-have skills/qualifications (technical, soft skills, certifications, tools):
5+ years of Java or Kotlin development experience, including building and supporting user-facing web products
5+ years of experience with server-side API programming on Linux, focusing on scalable, high-performance web services
Strong fundamentals in object-oriented design, design patterns, data structures, algorithm design, and problem-solving
Experience with CI/CD pipelines, containerization (Docker, Kubernetes), and cloud infrastructure
Commitment to well-designed, well-documented code
Ideal experience level (years, leadership, industries): 8+years of experience
Exceptional analytical aptitude and attention to detail
Strong organizational and problem-solving skills
Self-motivated, well-organized team player
Excellent oral and written communication skills
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.