HackerRank develops a skills-based hiring and learning platform for technology teams and developers. Employers use its coding assessments, real-world programming questions, and AI-powered plagiarism detection to screen and interview candidates. Developers can practice coding, prepare for interviews, and build their skills through the platform’s global community. Founded in 2012, HackerRank serves more than 3,000 technology teams worldwide, including many Fortune 100 companies.
HackerRank Senior Engineering Manager, Assessment Platform (Hybrid, India)
Lead engineering for HackerRank’s assessment platform, supporting developer hiring and upskilling. Scale distributed systems for more than 100,000 concurrent candidates while growing high-performing teams.
Сипаттама
- Set the technical direction and lead delivery for HackerRank’s assessment platform.
- Give candidates dedicated virtual machines and an online development environment for working on real-world applications.
- Build systems that support up to 100,000 concurrent candidates.
- Work with product teams across HackerRank to integrate assessment solutions into every product.
- Set the assessment platform vision and roadmap in partnership with Product.
- Design systems that handle more than 100,000 concurrent users.
- Own delivery commitments and guide day-to-day work using agile practices.
- Maintain operational excellence across reliability, incident response, security, and privacy.
- Hire, mentor, and develop engineers, including establishing career paths.
- Define how the team uses AI tools in software development.
- Collaborate with Product, Infrastructure, and Security teams.
Талаптар
- At least 8 years of software development experience, including 3 or more years leading engineering teams.
- Strong experience designing highly available, scalable, fault-tolerant, secure distributed systems and large-scale web services.
- Technical leadership experience and the ability to guide critical architecture discussions.
- A record of hiring, leading, and mentoring technical teams, and managing stakeholder expectations.
- Hands-on proficiency in at least one of Go, Python, Ruby, or Node.js.
- Strong hands-on proficiency with AWS or Google Cloud Platform.
- Clear communication skills and the ability to work effectively in fast-paced, changing environments.
- Experience building or scaling cloud IDEs, remote development environments, or online coding platforms.
- Hands-on expertise with containers, Kubernetes, and on-demand virtual machines or sandboxed compute at scale.
- Experience load testing, autoscaling, and planning capacity for variable, event-driven traffic.
- Experience introducing AI-assisted development practices across an engineering team.
Артықшылықтар
- The employer provides equal employment opportunity and affirmative action.
- Applicant information is handled confidentially in accordance with EEO guidelines.