Senior Lead Software Engineer
DraftKings
2 days ago
Role details
Contract type
Permanent contract Employment type
Full-time (> 32 hours) Working hours
Regular working hours Languages
English Experience level
SeniorJob location
Tech stack
Java
API
Artificial Intelligence
Amazon Web Services (AWS)
C Sharp (Programming Language)
Distributed Systems
Python
Performance Tuning
Software Engineering
Reinforcement Learning
Backend
Information Technology
Performance Monitor
Data Pipelines
Job description
- Architect, develop, and maintain scalable, secure systems and APIs that integrate AI-driven functionality into high-traffic, real-time customer experiences.
- Lead end-to-end development, from designing backend architecture to guiding implementation across engineering and data teams.
- Build and maintain robust data pipelines that support model training, inference, and performance monitoring.
- Design frameworks to evaluate model quality and reliability in production, supporting safe rollout and continuous improvement.
- Collaborate with data scientists and ML engineers to translate model goals into scalable backend systems.
- Lead by example by writing performant, maintainable, and well-tested code while enforcing engineering best practices.
- Act as a technical lead for critical services, triaging and resolving production issues with urgency and accountability.
- Partner cross-functionally with Product, Design, and Data Science teams to align backend architecture with long-term business and AI strategy.
- Mentor engineers across multiple teams, fostering technical growth and a culture of ownership and continuous learning.
- Stay informed on emerging AI infrastructure trends and bring practical, production-ready improvements into the platform.
Requirements
Do you have experience in Software development?, Do you have a Bachelor's degree?, * Bachelor's degree in Computer Science or any suitable combination of education, experience, and training.
- At least 7 years of experience in backend software development using languages such as C#, Java, or Python.
- Proven ability to design, build, and scale distributed systems in cloud environments such as AWS or GCP.
- Hands-on experience integrating AI or ML models into production systems, including building data pipelines and model monitoring frameworks.
- Familiarity with reinforcement learning concepts or other adaptive system design is a plus, but not required.
- Strong understanding of APIs, event-driven systems, and scalable service architectures.
- Deep knowledge of implementing testing, observability, and performance optimization for high-scale systems.
- Demonstrated leadership in setting technical direction, conducting design reviews, and guiding architectural decisions.
- A proven track record of mentoring engineers and driving a culture of excellence and collaboration.
About the company
At DraftKings, AI is becoming an integral part of both our present and future, powering how work gets done today, guiding smarter decisions, and sparking bold ideas. It's transforming how we enhance customer experiences, streamline operations, and unlock new possibilities. Our teams are energized by innovation and readily embrace emerging technology. We're not waiting for the future to arrive. We're shaping it, one bold step at a time. To those who see AI as a driver of progress, come build the future together., We're a publicly traded (NASDAQ: DKNG) technology company headquartered in Boston. As a regulated gaming company, you may be required to obtain a gaming license issued by the appropriate state agency as a condition of employment. Don't worry, we'll guide you through the process if this is relevant to your role.