• Customer-facing: 30% working directly with customers. • Coding & Integration: 70-80% hands-on technical implementation • Build & Deploy Solutions: Design, develop, and launch AI agents, integrations, and automations that connect DevRev with customers' existing tech stacks and workflows. • Integrate Systems: Connect DevRev with SaaS and non-SaaS platforms through APIs, webhooks, and real-time communication architectures for seamless data flow. • Optimize AI Performance: Apply prompt engineering, fine-tune semantic search engines, and leverage generative AI techniques to enhance agent accuracy and user experience. • Own Data Insights: Write SQL queries, perform data analysis, and build dashboards to surface insights that drive customer decision-making. • Prototype & Iterate: Develop rapid proofs-of-concept, conduct live technical demos, and refine solutions based on customer and stakeholder feedback. • Lead Cross-functional Collaboration: Maintain constant communication loops with customers, engineering, product, customer success, support, and revenue teams to ensure alignment. • Guide Technical Adoption: Learn and master new tools, then guide customers through critical workflows like code repository integrations and advanced configurations.

• Identify and prioritize high-impact technical and product problems • Design and guide scalable backend and data systems • Own architectural decisions across data, services, and system boundaries • Ensure systems are efficient, reliable, and scalable under real-world conditions • Lead execution through others (not just individual contribution) • Partner with Product to ensure technical work drives business outcomes

Our vision for the future is based on the idea that transforming financial lives starts by giving our people the freedom to transform their own. We have a flexible work environment, and fluid career paths. We not only encourage but celebrate internal mobility. We also recognize the importance of purpose, well-being, and work-life balance. Within Empower and our communities, we work hard to create a welcoming and inclusive environment, and our associates dedicate thousands of hours to volunteering for causes that matter most to them. Chart your own path and grow your career while helping more customers achieve financial freedom. Empower Yourself. The Lead Engineer Automation Quality is a subject matter expert responsible for leading the design and development of robust, scalable and highly complex automation frameworks. This role has ownership of leading design of automation initiatives for some of the most complex projects, mentoring and providing guidance and best practices to lower-level team members, and leading collaboration with other departments. Essential Functions: - Lead and oversee the design, development, and implementation of automated test strategies and frameworks. - Lead a team of test/quality automation engineers by providing direction with automation and build automation strategies. - Define and enforce best practices for test automation and quality assurance. - Lead assessment of automation tools. - Collaborate with stakeholders to define test automation goals and objectives. - Ensure the integration of automated tests into the CI/CD pipeline. Work with DevOps teams to integrate automated tests into the continuous integration and delivery process. - Monitor and report on test automation metrics and KPIs. - Lead continuous improvement in test automation processes and tools standards. - Lead innovation efforts such as AI. - Design and develop training materials and train team members - Document training materials and provide trainings on automation tools and frameworks. - Serves as a subject matter expert for quality automation engineers and may provide guidance, direction and prioritization of work for the team. - Required to do manual testing when needed Qualifications: - 7-10 years testing experience​ with 4-5 years experience in automation testing or equivalent automation training - Proven leadership experience in managing and mentoring test automation teams. - Strong Experience in Java programming language (Core concepts) - Extensive experience with test automation tools and frameworks, such as Selenium, Karate, JUnit, TestNG. - API Automation: Excellent experience with test automation tools Karate - UI Automation: Excellent experience with test automation tools Selenium, JUnit, TestNG. Expert-level proficiency in Java programming languages. - Strong understanding of CI/CD processes and tools. - Excellent analytical, problem-solving, and strategic thinking skills. - Exceptional communication and interpersonal skills. - Bachelor’s degree in Computer Science, Information Technology, or a related field is preferred - Experience with performance testing tools (JMeter, LoadRunner) desired. - Preferred experience in AWS cloud environment is a plus. - Knowledge of containerization technologies (Docker, Kubernetes) preferred. Normal office working conditions: This job operates in a professional office environment and routinely uses standard office equipment. This job description is not intended to be an exhaustive list of all duties, responsibilities and qualifications of the job. The employer has the right to revise this job description at any time. You will be evaluated in part based on your performance of the responsibilities and/or tasks listed in this job description. You may be required to perform other duties that are not included on this job description. The job description is not a contract for employment, and either you or the employer may terminate employment at any time, for any reason We are an equal opportunity employer with a commitment to diversity. All individuals, regardless of personal characteristics, are encouraged to apply. All qualified applicants will receive consideration for employment without regard to age, race, color, national origin, ancestry, sex, sexual orientation, gender, gender identity, gender expression, marital status, pregnancy, religion, physical or mental disability, military or veteran status, genetic information, or any other status protected by applicable state or local law.

• The AI‑Enabled Full Stack Developer plays a critical role in designing, developing, and maintaining scalable, secure, and high‑quality applications • Responsible for end‑to‑end front‑end and back‑end development and for integrating AI‑driven capabilities into enterprise applications • Collaborates closely with cross‑functional teams to deliver innovative, maintainable, and performant solutions that align with business objectives • Design and develop responsive, user‑friendly web interfaces using HTML, CSS, JavaScript, and modern frameworks such as React or Angular • Build and maintain server‑side logic, APIs, and services using technologies such as Node.js, Express, and supporting frameworks • Integrate AI services and capabilities into applications, including LLM APIs, AI agents, intelligent search, summarization, recommendations, and workflow automation • Prototype quickly, then harden solutions for production with monitoring, logging, evaluation, and performance optimization • Leverage AI coding tools (e.g., copilots, code generation, refactoring, and test generation tools) to improve development speed, code quality, and maintainability • Implement guardrails for AI systems including prompt safety, data protection, hallucination mitigation, access control, and output validation • Seamlessly integrate front‑end, back‑end, AI services, and third‑party systems to deliver cohesive and performant user experiences • Write, execute, and maintain automated tests, including unit, integration, and AI‑assisted test generation, to ensure application stability and reliability • Maintain and enhance existing applications, optimizing performance, security, and scalability while incorporating AI‑driven improvements where appropriate • Apply secure coding practices and ensure compliance with data privacy and security standards • Work closely with product owners, designers, architects, and other developers to deliver solutions aligned with business requirements and technical standards • Produce clear documentation for codebases, APIs, AI integrations, and development processes to support maintainability and knowledge sharing • Stay current with emerging AI technologies, frameworks, and development practices, and recommend practical adoption opportunities to enhance the development lifecycle • Mentor and upskill existing developers on AI concepts, patterns, and best practices.