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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

Scientific Games is hiring two Senior Product Engineers to join a small, high-impact team focused on strategic product initiatives and new business opportunities.

What You Will Do

• Build new products, prototypes, integrations, and production capabilities tied to strategic business opportunities.

• Work inside existing legacy codebases while improving testability, interfaces, observability, automation, and maintainability.

• Use AI coding tools and agentic workflows to accelerate code generation, test creation, documentation, refactoring, migration work, debugging, and review.

• Turn ambiguous product intent into clear specs, acceptance criteria, interface contracts, examples, test plans, and release criteria.

• Practice disciplined automated testing, including TDD, ATDD, unit tests, integration tests, contract tests, regression tests, and production validation where appropriate.

• Create fast feedback loops through CI/CD, feature flags, preview environments, observability, deployment automation, and production-safe release patterns.

• Partner with product, architecture, QA, DevOps, security, operations, and domain experts to make practical tradeoffs and get work into use.

• Reduce cycle time by removing ambiguity, waiting, brittle test paths, slow reviews, unclear ownership, and avoidable rework.

• Help define how this team works: engineering standards, technical decisions, AI-assisted development patterns, test strategy, and production readiness.

• Share useful patterns with other engineering teams so the work improves more than one product or codebase.

Qualifications

What Success Looks Like

Experience That Fits

• 10+ years of Software Engineering experience

• Experience building production software across the full lifecycle: product framing, design, implementation, testing, release, operations, and iteration.

• Experience working in large or legacy codebases while improving architecture, testability, observability, and delivery speed.

• Hands-on fluency with modern AI-assisted development tools, including coding assistants, agentic workflows, AI-assisted code generation and review, test generation, documentation support, refactoring, migration support, and debugging.

• Strong automated testing discipline, including TDD, ATDD, unit testing, integration testing, contract testing, regression automation, and production validation.

• Experience building fast feedback loops with CI/CD, automated test suites, feature flags, preview environments, observability, deployment automation, and progressive release practices.

• Strong engineering judgment across software design, APIs, integration patterns, data flows, reliability, security, and production readiness.

• Ability to work directly with product leaders, business stakeholders, domain experts, QA, DevOps, architecture, security, and operations teams.

• Clear written and verbal communication; able to turn ambiguity into an implementation path others can understand.

Especially Useful Backgrounds

• Product engineering in a startup, growth-stage company, incubation team, platform team, or strategic product pod.

• Experience bringing modern development practices into older systems without stopping delivery.

• Regulated, high-reliability, transactional, gaming, lottery, payments, or customer-facing platform environments.

• Cloud-native development, platform engineering, infrastructure as code, APIs, event-driven systems, distributed systems, or integration-heavy architectures.

• Experience helping other engineers adopt better AI-assisted development, testing, release, or observability practices.

Work Conditions

Scientific Games, LLC and its affiliates (collectively, "SG") are engaged in highly regulated gaming and lottery businesses. As a result, certain SG employees may, among other things, be required to obtain a gaming or other license(s), undergo background investigations or security checks, or meet certain standards dictated by law, regulation or contracts. In order to ensure SG complies with its regulatory and contractual commitments, as a condition to hiring and continuing to employ its employees, SG requires all of its employees to meet those requirements that are necessary to fulfill their individual roles. As a prerequisite to employment with SG (to the extent permitted by law), you shall be asked to consent to SG conducting a due diligence/background investigation on you.
This job description should not be interpreted as all-inclusive; it is intended to identify major responsibilities and requirements of the job. The employee in this position may be requested to perform other job-related tasks and responsibilities than those stated above.

Education

Masters degree preferred.

Years of Related Experience

10+ Years

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.