5 дней назад
Staff Software Engineer - Platform and Cloud Services (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Staff Software Engineer - Platform and Cloud Services (AI) (AWS/distributed systems): Building scalable, secure, multi-tenant platform services and APIs for a contract lifecycle management product with an accent on data modeling, cloud architecture, reliability, and AI/ML workloads. Focus on designing event-driven AWS systems, high-scale API contracts, tenant isolation, and cross-team architectural direction.
Location: Remote in Canada
Company
Developing a contract lifecycle management product built on a critical cloud platform.
What you will do
- Own core platform domains, canonical data models, service boundaries, and long-term architecture.
- Design and operate AWS-native, event-driven, asynchronous services that scale reliably and efficiently.
- Build secure multi-tenant services with tenant isolation, authentication, authorization, and permission-aware data access.
- Design versioned, high-scale API contracts, including bulk and asynchronous operations, contract testing, and structured error handling.
- Lead major platform initiatives from design through release while improving reliability, observability, performance, security, and developer experience.
- Align product and engineering stakeholders, mentor engineers, and guide architecture across teams without direct authority.
Requirements
- 8+ years of professional software engineering experience, including 2+ years at staff level.
- Bachelor's or master's degree in a relevant computer science, information systems, or engineering field.
- Strong Python experience; Java experience is beneficial.
- Deep experience designing, building, and operating enterprise-grade distributed systems on AWS.
- Experience with data modeling, service architecture, high-throughput or asynchronous processing, ML/inference services, and high-scale APIs.
- Strong knowledge of infrastructure-as-code, CI/CD, observability, application security, multi-tenancy, and excellent written and verbal English communication.
Nice to have
- Experience building AI/ML product features and data pipelines.
- Experience integrating third-party SaaS platforms and connectors.
- Experience with search and retrieval systems.
- Familiarity with contract lifecycle management or comparable enterprise B2B platforms.
Culture & Benefits
- Remote work arrangement for employees in Canada.
- Hands-on technical leadership with broad cross-functional influence.
- Opportunities to mentor engineers and shape platform engineering practices.
- Comprehensive benefits are described for US employees, including medical, dental, vision, disability, and life insurance.
- US employee benefits also include 401(k) matching, paid time off, paid parental leave, and flexible spending accounts.
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