2 часа назад
Fullstack Engineer (Python)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Fullstack Engineer (Python) (Cybersecurity): Building and evolving capture and intelligence platform components across backend services, event pipelines, asynchronous workflows, AI classification, and React/TypeScript interfaces with an accent on production reliability, data correctness, and enterprise compliance. Focus on integrating external APIs and OAuth flows, designing queue-based orchestration with retries and failure recovery, and developing LLM-powered investigations and decision-governance workflows.
Location: Cork, Ireland
Company
develops human- and agent-centric cybersecurity solutions that protect email, cloud, collaboration tools, data, and AI workflows.
What you will do
- Design, build, and maintain backend systems for data capture, shared platform models, event pipelines, asynchronous workers, APIs, and AI workflows.
- Deliver technical projects spanning multiple services and domains.
- Build client-facing React and TypeScript experiences for AI-led investigations and operational workflows.
- Debug production and customer issues involving data correctness, API behavior, asynchronous failures, scale, performance, and compliance-sensitive processes.
- Contribute through design reviews, code reviews, pairing, technical writing, and pragmatic technical decisions.
Requirements
- 3–5 years of experience building full-stack systems and owning specific technical areas.
- Strong Python experience, including typed code, testing, and production debugging.
- Experience with modern UI frameworks; TypeScript and JavaScript experience is highly valued.
- Operational experience with relational databases; PostgreSQL experience is preferred.
- Cloud-native deployment experience, especially AWS, is highly advantageous.
- Experience with distributed or asynchronous systems, queues, workers, retries, idempotency, rate limits, failure recovery, APIs, and integrations is highly valued.
Nice to have
- Python data modeling experience.
- Experience with structured LLM outputs, evaluations, token budgets, embeddings, vector search, local models, or agent workflows.
Culture & Benefits
- Flexible work environment.
- Competitive compensation and comprehensive benefits.
- Annual wellness and community outreach days.
- Recognition for contributions and opportunities for career development.
- Global collaboration and networking opportunities.
Hiring process
- Submit an application with supporting information.
- Accommodation is available during the application or interview process upon request.
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