Growth Engineering, Senior Staff Software Developer

Job Description

• This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Growth Engineering, Senior Staff Software Developer based in United States. This is a high-impact technical leadership role focused on bringing AI-driven product ideas from early experimentation to scalable, customer-facing solutions. You will combine hands-on software development with architecture, technical strategy, and cross-team influence. The role centers on building AI-powered applications, agent-driven experiences, and platform capabilities that improve engineering productivity and product delivery. You’ll work in an environment where ambiguity, rapid iteration, and thoughtful system design go hand in hand. Your expertise will help teams make better technical decisions, improve quality, and build reliable systems at scale. This is an opportunity to shape emerging products while acting as a technical force multiplier across multiple engineering teams.
• Accountabilities Lead the architecture, design, development, and scaling of complex software systems, AI-powered applications, and agent-driven experiences. Partner with engineering teams to deliver initiatives spanning platform modernization, product evolution, and new product development, adapting engineering approaches to balance speed, scalability, and maintainability. Establish technical direction for large, cross-team initiatives and make architectural decisions aligned with long-term platform strategy. Identify and address performance, reliability, scalability, and architectural bottlenecks before they become larger operational challenges. Explore ambiguous technical problems through rapid prototyping and hands-on development, helping teams determine viable solutions through experimentation. Develop AI-enabled infrastructure, automation, engineering tools, and intelligent assistance capabilities that reduce manual effort and improve development workflows. Create practical guardrails and quality practices that support safe, reliable, and effective AI-assisted development. Apply AI-native development practices, including automation, validation, and engineering harnesses that improve software quality and delivery efficiency. Strengthen engineering practices through thoughtful code reviews, testing strategies, and pre-production quality controls. Capture system behavior and technical requirements from source code, tests, logs, documentation, and subject-matter experts. Drive alignment across teams, influence important technical decisions, reduce ambiguity, and help engineers make better decisions more quickly. Create durable technical assets such as runbooks, decision records, tests, and documentation that enable teams to maintain and evolve solutions independently. Share technical context and expertise across product domains while raising the capabilities and technical standards of surrounding engineering teams. Requirements 6+ years of professional experience building and scaling enterprise software systems, with demonstrated ability to operate at a Staff+ level across multiple teams or technical domains. Proven experience leading technical strategy, system architecture, and complex engineering initiatives across teams. Hands-on experience developing agentic AI solutions and using AI as a primary collaborator in real-world software development. Strong background in distributed systems, platform architecture, and designing systems for scalability, reliability, flexibility, and maintainability. Experience driving high-impact initiatives across multiple engineering teams and delivering production-quality outcomes within small, focused, time-boxed teams. Demonstrated expertise in at least two delivery environments, such as platform modernization, iterative product development, or ambitious greenfield initiatives. Strong systems thinking and technical judgment, including the ability to anticipate second-order effects and make sound architectural trade-offs. Experience improving engineering quality through approaches such as TDD, BDD, load testing, stress testing, chaos testing, invariant testing, mutation testing, or comparable practices. Ability to infer behavioral specifications from existing codebases, tests, logs, system behavior, and conversations with subject-matter experts. Proven ability to act as a force multiplier for other engineers by providing technical guidance, sharing knowledge, and raising engineering standards. Strong written and verbal communication skills, with a consistent ability to create clear, useful, and durable technical documentation. Demonstrated ability to navigate ambiguity, work collaboratively across teams, and turn complex technical challenges into practical solutions. Deep expertise in a technical domain that can materially improve system architecture, engineering effectiveness, or developer experience. Benefits Full-time position with a remote work environment available within the United States. Competitive compensation and benefits designed to support employees working remotely or from an office. Opportunity to work on emerging AI technologies and high-impact products used by complex organizations. Significant technical ownership and the opportunity to influence architecture and engineering strategy across multiple teams. Collaborative environment focused on innovation, diverse perspectives, continuous learning, and professional growth. Comprehensive security and privacy training tailored to the role. Equal employment opportunity and reasonable accommodations for applicants with disabilities. Access to a broad employee benefits and rewards package.
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