Growth Engineering, Senior Staff Software Developer
New
J
JobgetherSecurity & IT
Based in United StatesFull-TimeStaff
Salary not disclosed
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Job Details
- Experience
- 6+ years
- Required Skills
- Software EngineeringDistributed Systems
Requirements
- 6+ years of professional experience building and scaling enterprise software systems.
- 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.
- Hands-on experience developing agentic AI solutions and using AI as a primary collaborator.
- Strong background in distributed systems and platform architecture.
- Experience driving high-impact initiatives across multiple engineering teams.
- Expertise in at least two delivery environments such as platform modernization or product development.
- Strong systems thinking and technical judgment.
- Experience improving engineering quality through TDD, BDD, load testing, or chaos testing.
- Proven ability to act as a force multiplier for other engineers.
- Strong written and verbal communication skills.
- Demonstrated ability to navigate ambiguity and deliver production-quality outcomes.
Responsibilities
- 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.
- 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.
- Explore ambiguous technical problems through rapid prototyping and hands-on development.
- Develop AI-enabled infrastructure, automation, and intelligent assistance capabilities to improve development workflows.
- Create practical guardrails and quality practices for safe, reliable, and effective AI-assisted development.
- Strengthen engineering practices through code reviews, testing strategies, and pre-production quality controls.
- Drive alignment across teams and create durable technical assets such as runbooks, decision records, and documentation.
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