enlyft
Principal Software Engineer - Backend
KIRKLAND, Washington · Principal
Sponsorship not specifiedDetected 9 hours ago
PythonJavaNode.jsDistributed SystemsSQLNoSQLAWSGCPAzureCloud PlatformsDockerKubernetesCI/CDDevOpsRESTAgentic AILeadership
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16Unrated
Cap-exempt (no lottery)0
Sponsors this role0
Entry-level history0
PERM / green-card track0
Lottery odds40
Fits your clock70
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About the role
- You'll work closely with other technical leaders, product managers, and cross-functional teams to keep solutions aligned with both business goals and technical realities.
- You'll shape architecture, mentor engineers across backend, frontend, and our AI platform, and help bring emerging technology - especially agentic AI into the product in ways that genuinely move the needle for customers.
Responsibilities
- Design and deploy scalable, high-performance solutions across the stack (backend, frontend, and beyond), and establish the architectural standards for reliability, security, and performance the team builds against
- Help build our AI-native platform - designing agentic workflows that plan, call tools, and run multi-step tasks in production, not just as prototypes
- Lead and mentor engineers across disciplines, promoting best practices in coding, testing, and deployment
- Own the lifecycle of complex, multi-area projects - ensuring timely, high-quality delivery, resolving hard technical issues, and managing technical debt with the judgment to keep momentum
- Document key architectural designs and decisions, and share knowledge so the team can build, debug, and learn faster
- Partner with product managers, engineers, and other stakeholders to define requirements and deliver integrated solutions that meet both business and technical needs
Requirements
- Bachelor's degree in Computer Science or a related field, with 14+ years of experience, including 4+ years in a principal or architect-level role
- Expertise in modern programming languages and frameworks (e.g., Python, Node.js, Java)
- Strong knowledge of database systems (e.g., SQL, NoSQL), RESTful APIs, and microservices architecture
Nice to have
- Experience with retrieval and semantic search to ground models in real data is a strong plus, along with good instincts for keeping AI output accurate and cost and latency in check
Company info
- Stay close to customers - understand their real workflows, sit with their hardest problems, and carry that context back into the architecture and roadmap.
This listing is sourced directly from enlyft's careers page and normalized into a canonical job model.