Software Engineering Manager, Performance and Quality Frameworks

Accountabilities:

• Lead the team responsible for performance engineering infrastructure and shared functional testing frameworks, establishing strategy, architecture, roadmap, reliability standards, documentation, adoption, and self-service capabilities.
• Evaluate and improve the performance testing toolchain and shared testing frameworks, establishing measurable baselines for adoption, reliability, flakiness, test-development cycle time, coverage, and support burden.
• Lead the adoption of AI-assisted engineering tools to accelerate performance script development, functional framework development and maintenance, test creation, execution, optimization, and analysis.
• Identify opportunities to apply AI and agentic workflows to complex engineering and testing challenges, while ensuring strong engineering judgment, validation, and human oversight of AI-generated work.
• Develop and maintain a prioritized roadmap for framework expansion, reliability, documentation, self-service, and technical debt reduction.
• Partner with Product Managers, Designers, Architects, Quality, DevOps, Product Engineering, and Customer Facing teams to understand business and product needs and establish effective testing strategies.
• Build strong relationships with product engineering teams to encourage self-service adoption of shared frameworks and secure appropriate investment in load, stress, performance, and end-to-end testing.
• Ensure a clear division of responsibilities between shared testing framework ownership and product-team ownership of feature-specific tests.
• Use quantitative evidence, including adoption, reliability, flakiness, development cycle time, coverage, support burden, and AI-generated insights, to measure impact and guide engineering priorities.
• Lead, mentor, and develop engineers, creating an environment focused on continuous learning, technical excellence, innovation, and effective collaboration.
• Ensure the team balances delivery of new capabilities with defect resolution, reliability improvements, and sustainable technical development.
• Establish a forward-looking strategy for scaling engineering and shared testing capabilities over a two- to three-year horizon.
• Build and maintain technical documentation that is accessible to engineers while also being structured for effective consumption by modern AI and large language model systems.
• Attract and retain engineers who are motivated by high-performance software, testing platforms, and AI-assisted engineering.

Requirements:

• At least 2 years of experience in an engineering leadership role and 8+ years of hands-on experience as a performance engineer or software engineer.
• Bachelor’s degree in a related field or equivalent professional experience.
• Proven experience architecting, expanding, and maintaining shared functional testing frameworks, libraries, or services used by multiple product teams.
• Demonstrated experience architecting, developing, and supporting highly distributed, scalable, and highly available systems in a public cloud environment, preferably AWS.
• Deep knowledge of microservice architectures, containerized CI/CD environments, Docker, Kubernetes, and agile development methodologies.
• Proven hands-on experience with AI-assisted development tools such as Cursor and Claude Code, including using them to write, debug, maintain, and optimize complex software.
• Ability to select appropriate AI models and agents for specific engineering problems and measure their impact on engineering productivity, test coverage, and development cycle time.
• Strong understanding of performance engineering, high-load SaaS systems, scalable software architecture, reliable functional testing infrastructure, and principles of performant and testable design.
• Experience using quantitative evidence to identify priorities and optimize engineering processes, including framework adoption, reliability, flakiness, test-development cycle time, coverage, and support burden.
• Strong technical documentation and communication skills, including the ability to explain complex technical concepts clearly to both engineering and cross-functional audiences.
• Effective leadership, mentoring, project management, and stakeholder-management skills, with the ability to build strong relationships across teams.
• Comfort using AI development tools as a core part of daily engineering workflows, including prompting, agentic workflows, and human-in-the-loop review of AI-generated code.
• Experience with Python-based AI/ML frameworks and libraries such as scikit-learn, pandas, and NumPy is relevant, along with exposure to deep learning frameworks such as PyTorch and LLM or foundation-model platforms such as Bedrock or Vertex AI.
• Strong analytical, problem-solving, prioritization, and decision-making abilities, with a focus on measurable business and engineering outcomes.
• Must be a U.S. citizen due to FedRAMP requirements.
• Ability to interview in person as required.
• Ability to work in a remote U.S.-based role.

Benefits:

• Remote-first position based in the United States.
• Base salary range of $140,500–$236,826 USD, with compensation determined based on factors including knowledge, skills, experience, market conditions, location, and internal equity.
• Potential eligibility for a corporate bonus plan and/or equity participation, depending on role and applicable programs.
• Medical, dental, and vision insurance.
• Short-term and long-term disability coverage.
• Life insurance and Accidental Death & Dismemberment (AD&D) coverage.
• Supplemental life insurance options for employees, spouses, and children.
• Flexible Spending Accounts, including healthcare and dependent care options.
• Health Savings Account with employer contribution.
• 401(k) savings and investment plan with company matching.
• Flexible vacation policy, paid holidays, and sick leave.
• Paid parental leave.
• Employee Assistance Program and care counseling resources.
• Voluntary benefits including legal assistance, critical illness, accident, hospital indemnity, and pet insurance.
• Career growth opportunities and a collaborative, inclusive work environment.
• Reasonable accommodations available for qualified applicants and employees with disabilities.