обновлено 11 дней назад
Software Engineer (NodeJS, TypeScript)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Software Engineer (NodeJS, TypeScript) (Cloud SaaS/AI): Building secure, scalable microservices and APIs with Node.js, TypeScript, and AWS, with an accent on reliable production support, cloud-native delivery, and AI-assisted engineering. Focus on designing backend services, owning features through deployment, improving observability and security, and solving complex product problems at scale.
Location: London, England, United Kingdom; hybrid work with onsite attendance required at least 50% of the time for employees within commuting distance of a office.
Company
provides AI-powered governance, risk, and compliance SaaS solutions through the One Platform.
What you will do
- Design, build, test, and improve secure backend services and APIs using Node.js, TypeScript, and AWS.
- Own features from planning through release, including code quality, deployment, and production support.
- Collaborate with product managers, designers, and engineers to turn requirements into reliable product solutions.
- Contribute to technical design discussions, code reviews, and engineering standards.
- Use AI tools for research, coding, debugging, testing, and documentation while validating outputs for privacy, security, and quality.
- Improve monitoring, observability, reliability, and maintainability of production systems.
Requirements
- 3–5 years of professional software engineering experience building production applications in an agile environment.
- Strong backend development skills with Node.js and TypeScript, including API or microservice development.
- Experience with React or Angular in a product engineering environment.
- Hands-on AWS experience and knowledge of cloud-native development, testing, and deployment practices.
- Experience with SQL databases, Git, Docker-based workflows, and modern CI/CD pipelines.
- Practical understanding of AI-assisted engineering tools, with sound judgment regarding privacy, security, and quality.
Nice to have
- Familiarity with infrastructure as code, such as CDK or Terraform.
- Exposure to observability tooling, incident response, or production monitoring.
- Understanding of LLM concepts including tokens, embeddings, hallucinations, and safe software-delivery use cases.
Culture & Benefits
- Flexible work environment with hybrid office hubs worldwide.
- Comprehensive health benefits, generous time off, wellness programs, and global days of service.
- Meeting-free days and support for collaboration, creativity, and continuous learning.
- Inclusive workplace supported by employee resource groups and diversity initiatives.
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