6 дней назад
Staff Engineer
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Staff Engineer (Rust/TypeScript): Designing, developing, and operating scalable routing services and APIs for navigation and logistics with an accent on high availability, resilience, observability, and geospatial problem solving. Focus on distributed systems, routing-data storage, quality experiments, operational excellence, and reliable services under strict latency requirements.
Location: Helsinki, Finland; hybrid and remote options available where applicable
Company
provides real-time location technology, including navigation data, applications, SDKs, and APIs for location-aware businesses.
What you will do
- Design, develop, and operate scalable services for API and routing-engine tiers.
- Build and improve services for routing-data consumption and storage.
- Develop internal tools, automations, quality metrics, and analytics for engineering and navigation products.
- Run experiments to evaluate product quality, reliability, and capacity requirements.
- Deliver features end to end, review designs and code, and shepherd releases across the navigation team.
- Participate in a 12/7 on-call rotation and collaborate with product, sales engineering, and management on product direction.
Requirements
- Professional experience engineering web services with Rust or TypeScript and Node.js.
- Experience building highly available API services in container-based environments such as Docker, ECS, or Kubernetes on AWS.
- Proficiency with monitoring instrumentation, incident triage, customer issue resolution, and continuous product improvement.
- Knowledge of operating systems and distributed systems, including fault tolerance, consistency, and service discovery.
- Experience driving long-term technical strategy, high-visibility initiatives, engineering standards, and operational excellence.
- Strong English verbal and written communication skills are required; experience or interest in geospatial problem solving is expected.
Nice to have
- Experience or interest in solving geospatial problems.
- Mentorship experience and enthusiasm for learning and knowledge sharing.
- Experience using experiments and data analysis to improve quality of service.
Culture & Benefits
- Flexible hybrid and remote work options where applicable.
- Regional private health, dental, and income protection coverage.
- Family care, maternity, and paternity leave policies.
- Lifestyle spending contributions and mental health support for employees and dependents.
- Paid time off, company holidays, generous absence policies, and paid volunteering time.
- Supportive environment focused on teaching, learning, mentorship, and diverse collaboration.
Hiring process
- The interview process includes a discussion of how candidates use AI in their engineering workflow.
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