Senior Advanced Product Engineer

Scientific Games, LLC; Alpharetta (GA); On-site; USD 100,000 - 130,000; Full time

Job summary

Scientific Games, LLC is looking for two Senior Product Engineers. You will join a high-impact team focusing on strategic product initiatives and new business opportunities. Ideal candidates will have over 10 years of software engineering experience, being proficient with AI-assisted development tools, and have the ability to navigate legacy codebases while improving their functionality.

This role emphasizes building new products and integrations, optimizing workflow, and enhancing system reliability in a fast-paced environment.

Qualifications

• 10+ years of Software Engineering experience.
• Experience building production software across the full lifecycle.
• Hands-on fluency with modern AI-assisted development tools.

Responsibilities

• Build new products, prototypes, integrations, and production capabilities.
• Work inside existing legacy codebases while improving their quality.
• Turn ambiguous product intent into clear specs and acceptance criteria.

Skills

Software Engineering experience

Automated testing discipline

Experience with AI-assisted development tools

Building fast feedback loops with CI/CD

Strong engineering judgment

Tools

CI/CD

AI coding tools

Job description

Scientific Games is the global leader in lottery games, sports betting and technology. From cutting‑edge backend systems to exciting entertainment experiences, we are hiring two Senior Product Engineers to join a small, high‑impact team focused on strategic product initiatives and new business opportunities. This role is ideal for experienced builders who can flex across product and engineering from zero‑to‑one development to enhancing complex, legacy systems. You will deliver high‑quality software quickly, make sound technical decisions, and leave systems better than you found them.

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.

What Success Looks Like

• Turn ambiguous product or technical problems into clear, working solutions aligned to business outcomes.
• Move quickly without overengineering—making progress while improving code quality, tests, and system reliability.
• Work effectively in legacy systems, leaving codebases cleaner, safer, and easier to build on.
• Use AI tools to accelerate validated delivery, structuring work for fast feedback and strong testing.
• Stay focused on product impact—understanding users, workflows, and measurable results.
• Earn trust across the business for solving real problems and within engineering for high‑quality, maintainable work.

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.

Scientific Games, LLC and its affiliates (collectively, “SG”) are engaged in highly regulated gaming and lottery businesses. Certain SG employees may be required to obtain a gaming or other license, undergo background investigations, or meet specific regulatory standards as a condition to hiring and continued employment. SG requires all employees to meet the necessary requirements to fulfill their roles, as permitted by law.

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, or disability. If you’d like more information about your equal employment opportunity rights as an applicant under the law, please consult the EEOC poster.