Software Engineering Intern contributing to Tonal’s product roadmap while developing AI - assisted automation solutions. Collaborating with engineering teams to leverage new technologies and boost productivity.
About the role
- Senior Lead Software Engineer architecting platforms that enhance developer experience at DraftKings. Leading AI-powered capabilities and mentoring engineers across platforms and tools.
Responsibilities
- Architect and lead the development of scalable, developer-focused platforms that improve the software development lifecycle—including IDE integration, code review automation, and intelligent workflow tooling.
- Design and implement AI-powered capabilities that elevate engineering productivity, such as contextual code assistance, automated documentation, and predictive debugging tools.
- Partner with engineering leadership to define and track developer productivity metrics, using data insights to drive tooling and platform improvements.
- Evaluate emerging technologies and AI developer tools through rigorous technical assessments and proof-of-concepts, collaborating with vendors and internal teams.
- Lead cross-functional initiatives with Platform, Product, and AI Research teams to deliver cohesive, impactful solutions across the engineering organization.
- Champion best practices in environment setup, CI/CD pipeline optimization, and developer onboarding to ensure a consistent, high-quality experience across teams.
- Mentor engineers across squads and lead architectural discussions that drive platform scalability, technical excellence, and innovation.
Requirements
- Bachelor’s Degree in Computer Science or a related field—or equivalent combination of education, experience, and training.
- At least 7 years of experience leading engineering initiatives focused on developer platforms, tooling, or internal productivity infrastructure at scale.
- A strong background in designing and building CI/CD systems, development frameworks, or engineering enablement tools for large teams.
- Hands-on experience integrating AI technologies into software workflows (e.g., code generation, summarization, documentation, or review automation).
- Proficiency with modern development infrastructure such as Bitbucket, GitOps, Docker, Kubernetes, and AWS or other cloud environments.
- Ability to define and execute strategic, cross-functional initiatives that enhance how engineering teams build, test, and deploy software.
- A data-driven mindset with a track record of using metrics to assess and improve developer workflows.
- A collaborative leadership approach that builds trust, drives alignment, and fosters engineering excellence across teams.
Benefits
- Health insurance
- Professional development opportunities
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