Job Description

About Gen:

Gen is a global company dedicated to powering Digital Freedom through its trusted consumer brands including Norton, Avast, LifeLock, MoneyLion and more. Our combined heritage is rooted in financial empowerment and cyber safety for the first digital generations, and today we deliver award-winning cybersecurity, online privacy, identity protection and financial wellness solutions to nearly 500 million users in more than 150 countries.

Together, we share a collective passion and vision to protect consumers and help them grow, manage and secure their digital and financial lives. We’re always looking for smart, fearless and high-impact talent who see AI as a teammate – leveraging it to move faster and deliver meaningful results.

When you’re part of Gen, you’ll have the flexibility, tools and support to do your best work and grow your career – from flexible working options and time off to competitive pay, benefits and well-being programs.

At Gen, we are scrappy and relentlessly customer driven. We create room for healthy debate, experimentation and continuous learning, and we seek out people with different experiences, identities and ideas to join our team. You’ll work with people who back each other, respect each other and understand that our differences are a competitive advantage.

If this sounds like you, we’d love you to be part of Gen.

About Us:

MoneyLion and Engine by Gen Digital are leaders in financial technology powering the next generation of personalized products and content. Our mission is to give everyone the power to make their best financial decisions. We pride ourselves on serving the many, not the few; providing confidence through guidance, choice, and personalization.

About the Role:

We’re looking for a deeply experienced Senior Software Engineer in Test with fluency in scalable frameworks, advancing service-oriented architecture (SOA) practices, and enabling teams to achieve operational excellence through technical innovation and modern tooling.

As AI-powered tools increasingly accelerate code generation, the role of engineering is evolving, shifting focus from writing code to orchestrating, reviewing, and rigorously validating it. In this landscape, software engineers in test serve as a vital line of defense, ensuring that the speed of automation never outpaces the quality and reliability of what we ship.

This role is not about producing baseline test automation quickly with an AI tool of your choice. It’s about collaboration, making sound decisions, and setting direction as a technical advisor for scalable automation, software quality, and modern AI adoption. You will leverage AI agents as force multipliers while maintaining a high bar for correctness, maintainability, testability, and operational excellence.

Success here depends on engineering judgment—choosing the right solution, not just producing code.

Key Responsibilities:

• Architect, build, and own scalable test infrastructure and automation frameworks that support multiple product initiatives and teams.
• Lead cross-team quality and test automation initiatives, acting as a subject matter expert in automation, testability, and service-oriented architecture.
• Develop automation solutions, including tools, frameworks, pipelines, and tests, to support continuous testing and reliable CI/CD delivery.
• Expand automated test coverage across web, API, integration, and service layers using tools such as Playwright or related tooling.
• Build and maintain test containers to enable consistent, scalable, and reliable automated testing across development and lower-level environments.
• Identify and remediate technical debt in automation frameworks and modernize legacy systems with modern tools and methodologies.
• Instrument and monitor features using DataDog and other observability tools to ensure system health, resilience, and safe deployments.
• Participate in design and code reviews with an emphasis on testability, architectural clarity, long-term maintainability, and developer experience.
• Leverage AI assistants/agents for prototyping, scaffolding, refactoring, and exploratory development, then harden solutions through rigorous validation, edge-case coverage, and reliable execution.
• Establish quality goals and metrics to measure effectiveness and drive continuous improvement.
• Partner closely with engineering, product, and SRE teams to align automation strategies with organizational goals and delivery priorities.
• Mentor and develop engineers through paired programming, documentation, and thoughtful, structured feedback.

About you:

• 8+ years of experience in software engineering with a strong focus on test automation and developer enablement.
• Proven expertise in architecting, scaling, and maintaining complex automated test frameworks and pipelines for modern web applications.
• Extensive hands-on experience with modern test automation tools such as Playwright, Cypress, Selenium, or similar.
• Strong proficiency in TypeScript/JavaScript, with experience building reliable, maintainable, and scalable test frameworks (React experience strongly preferred).
• Deep understanding of browser internals, including HTML forms, navigation, accessibility, performance, and rendering behavior.
• Experience designing testing strategies that balance unit, integration, and end-to-end coverage.
• Comfort working across the full data flow, from REST APIs to rendered UI experiences.
• Experience with CI/CD pipelines, automated testing at scale, and infrastructure-as-code.
• Hands-on experience with cloud-native environments (AWS preferred) and containerization technologies such as Docker and Kubernetes.
• Familiarity with DataDog and/or other telemetry tools to ensure system health and observability in production.
• Demonstrates organizational impact through mentoring, technical leadership, and driving adoption of quality and automation best practices.

AI-Assisted Engineering Expectations

• Hands-on experience with tools like Cursor (or equivalent AI-augmented IDEs) and all modern coding models.
• Practical understanding of where AI is strong vs. where it falls short, paired with sound discernment in its application.
• Ability to use AI agents to quickly project multiple approaches, compare tradeoffs, and converge on the best solution without shipping “AI-shaped” code.

Personal Attributes:

• Proactive problem-solver who identifies issues and opportunities before they become blockers, taking ownership without waiting to be asked
• Relentlessly curious — constantly asking "why" and "what if," driven to understand systems deeply rather than accepting surface-level answers
• Genuinely passionate about the craft of software engineering, not just the output — the kind of person who gets excited about an elegant solution
• Thrives in collaborative environments, elevating teammates through knowledge sharing, constructive code reviews, and open dialogue
• Growth-oriented mindset with a demonstrated hunger to learn new technologies, paradigms, and approaches — and to apply them meaningfully
• Holds a high quality bar for implementation — writes clean, well-tested, maintainable code and expects the same from the codebase around them
• Refuses to normalize technical debt — doesn't walk past bad code; actively advocates for and drives improvements to code health and engineering standards
• Self-starter who can operate with ambiguity, break down complex problems independently, and drive initiatives from idea to delivery
• Continuously invests in their own development through reading, experimentation, side projects, open-source contributions, or community involvement
• Balances pragmatism with rigor — knows when to ship and when to push back, always grounded in what's best for the product and the team

Location: New York City (Onsite 3 days per week)
Compensation: The annual base salary for this position is expected to be between $190,000 to $200,000K. Base salary is one component of Gen's total compensation package, which includes 401(k) match, health insurance options, disability coverage, life insurance, and unlimited paid time off. Actual salaries will vary based on a candidate’s qualifications, experience, skills, and competencies related to the role.

Gen is proud to be an equal-opportunity employer, committed to diversity and inclusivity. We base employment decisions on merit, experience, and business needs, without considering race, color, national origin, age, religion, sex, pregnancy, genetic information, disability, medical condition, marital status, sexual orientation, gender identity or expression, military or veteran status, or other unlawful factors. Gen prohibits discrimination based on these protected characteristics and recruits talented candidates from diverse backgrounds.

We consider individuals with arrest and conviction records and do not discriminate against employees for discussing their own pay or that of other employees or applicantsLearn more about pay transparency

To conform to U.S. export control regulations, applicant should be eligible for any required authorizations from the U.S. Government.