1 день назад
Sr Software Engineer (AI)
197 529 - 276 540$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Sr Software Engineer (AI/full-stack): Building and operating data-driven enterprise software capabilities and digital infrastructure for reusable space assets with an accent on AWS, GenAI, microservices, and distributed systems. Focus on leading full-stack delivery, integrating AI-assisted engineering workflows, debugging complex service failures, and maintaining operational excellence.
Location: Greater Seattle Area, United States. U.S. citizenship or national status, U.S. permanent residency, or lawful admission as a refugee or asylee is required under export control regulations.
Base pay for Washington applicants: $197,529.00–$276,539.55 per year. Other site ranges may differ.
Company
develops reusable, safe, and low-cost space vehicles and systems while building digital infrastructure for the development and maintenance of reusable space assets.
What you will do
- Act as technical lead for a full-stack Scrum development team, owning design, delivery, and planning across multiple systems.
- Drive technical implementation, estimate effort, manage technical debt, and balance competing priorities.
- Develop an AI-first engineering methodology using LLMs, agentic workflows, and code-generation tools.
- Lead anomaly investigations, root-cause analyses, recovery plans, incident response, and on-call production support.
- Mentor engineers, improve code review and quality practices, and develop tooling for engineering and system operations.
- Work with customers, product managers, and partner organizations to identify pain points and inform roadmap decisions.
Requirements
- Bachelor’s degree in Computer Science or a related field, or equivalent experience.
- 10+ years of experience developing enterprise-grade distributed applications, including at least 3 years in technical leadership.
- Advanced knowledge of the full software development lifecycle, including coding standards, testing, security, source control, CI/CD, and operations.
- Deep understanding of microservices, containerized or serverless environments, and debugging distributed system failures.
- Experience developing and operating AWS services with infrastructure as code.
- Ability to lead through informal authority, communicate with technical and non-technical audiences, and advance AI-assisted engineering practices.
Nice to have
- Experience with Java, Spring Boot, React, TypeScript, and Python.
- Experience with data-intensive applications and streaming or event-driven architectures.
- AWS Associate or Professional Certification.
- Experience with GovCloud or other highly regulated environments, SLOs, observability, and incident management.
- Manufacturing or aerospace experience and interest in Generative AI systems.
Culture & Benefits
- Safety, collaboration, inclusion, innovation, and operational excellence are emphasized.
- Medical, dental, vision, life insurance, disability coverage, paid parental leave, and an education support program.
- 401(k) with a company match of up to 5%.
- Stock options for regular employees working at least 20 hours per week.
- Up to four weeks of paid time off and up to 14 company-paid holidays.
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