Jobs Companies Scientific Games Lead Software Engineer

About this Lead Software Engineer role at Scientific Games

Scientific Games · Onsite · Bangalore, India

Scientific Games:

Scientific Games is the global leader in lottery games, sports betting and technology, and the partner of choice for government lotteries. From cutting-edge backend systems to exciting entertainment experiences and trailblazing retail and digital solutions, we elevate play every day. We push game designs to the next level and are pioneers in data analytics and iLottery. Built on a foundation of trusted partnerships, Scientific Games combines relentless innovation, legendary performance, and unwavering security to responsibly propel the global lottery industry ever forward.

Position Summary

Roles and Responsibilities

  • Lead the design, development, and delivery of games across various markets, taking ownership of technical direction end-to-end.
  • Collaborate with cross-functional teams (product, art, design) to define, architect, and ship high-quality games.
  • Mentor and guide Software Engineers and Senior Software Engineers, conducting code reviews and raising the team's technical bar.
  • Drive technical architecture decisions, evaluate trade-offs, and set best practices and coding standards for the team.
  • Identify, debug, and resolve complex performance bottlenecks and critical bugs across the codebase.
  • Own code quality, championing automation, testing strategy, and CI/CD practices across the team.
  • Drive unit testing and QA processes to ensure robust, well-tested game releases.
  • Efficiently use browser extensions and tools to profile, debug, and optimize game performance.
  • Collaborate with stakeholders to plan sprints, estimate timelines, and manage technical risk.
  • Stay current with emerging technologies and evaluate their applicability to ongoing projects.

Skills Required:

  • 8+ years of hands-on experience in software development, including significant experience in TypeScript.
  • Proven experience leading or mentoring a team of engineers, with strong ownership of technical decisions.
  • In-depth understanding of JavaScript, ES6+ features, HTML5, and CSS3.
  • Strong experience with Computer Graphics, PIXI.js/Phaser, and GSAP.
  • Solid understanding of Data Structures, Algorithms, and Object-Oriented Programming, with the ability to make sound architectural decisions.
  • Strong Analytical, Debugging, and Problem-solving skills, with a track record of resolving complex, ambiguous technical issues.
  • Experience with Git or similar version control tools, including branching strategies and code review workflows.
  • Excellent communication and leadership skills, with the ability to influence technical direction across teams.
  • Experience with Node.js and NPM.
  • Strong familiarity with RESTful APIs and web services.
  • Experience setting up or improving CI/CD pipelines and automated testing frameworks is a plus.

Qualifications

Experience - 8 to 12 years
Education Qualification - B.E/B.Tech

SG is an Equal Opportunity Employer and does not discriminate against applicants due to race, color, sex, age, national origin, religion, sexual orientation, gender identity, status as a veteran, and basis of disability or any other federal, state or local protected class. If you’d like more information about your equal employment opportunity rights as an applicant under the law, please click here for EEOC Poster.

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About Scientific Games

Relentless innovation. Legendary performance. And unwavering security. All built on a foundation of trusted partnerships. This is what it takes to be a global leader in lottery games, sports betting and technology. And to propel the industry ever forward. At Scientific Games, we elevate play every day. From cutting-edge backend systems to exciting entertainment experiences and trailblazing retail and digital solutions, we care about the details that drive profits for lottery beneficiary programs. We know what people like to play today. And with the power of data analytics, we can predict what they'll want to play tomorrow. We're always thinking about the player experience. Because it's not j

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