Sr Software Dev Engineer

Job Title: Sr Software Dev Engineer
Duration: 12 months
Location: Remote (US)
Coding Test: Required

Overview of the team: Client Sports Backend team
Client 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

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.
• A 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.