обновлено 5 дней назад
Senior Software Engineer (Cybersecurity)
Мэтч & Сопровод
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Описание вакансии
Текст:
TL;DR
Senior Software Engineer (Cybersecurity): Building production-grade microservice integrations for an AI-driven SecOps platform with an accent on REST, GraphQL, streaming APIs, and LLM-powered automation. Focus on owning integration domains end-to-end, designing distributed systems, and using AI tools to accelerate development, testing, deployment, and incident response.
Location: Remote from Taiwan; successful finalists must attend an on-site interview.
Company
develops an AI-driven cybersecurity platform covering SIEM, NDR, Open XDR, and multi-layer AI capabilities for enterprises, government agencies, and MSSPs.
What you will do
- Own one or more integration domains from roadmap definition and architecture decisions through delivery.
- Design and deliver production-grade microservice integrations for cybersecurity tools and third-party services.
- Build traditional and AI-native integrations using REST, GraphQL, streaming APIs, MCP, and LLM-powered automation.
- Use LLM coding assistants, AI-driven testing, and automated code review to improve engineering workflows.
- Automate builds, deployments, monitoring, and incident triage with AI and scripting.
- Promote practical AI adoption and develop internal tooling that improves team efficiency.
Requirements
- Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
- 5+ years of backend software development experience and 1+ year as a technical lead or demonstrated full project ownership.
- Proficiency in Python, Go, or Java, with experience building and operating production microservices.
- Deep experience with API design and integrations, including REST, GraphQL, streaming, LLM APIs, embedding services, OAuth, API keys, and rate limiting.
- Strong background in distributed systems, message queues such as Kafka or RabbitMQ, or orchestration frameworks such as Celery or Airflow.
- Regular production use of AI tools such as Copilot, Cursor, Claude, or ChatGPT, with the judgment to validate AI-generated output.
Nice to have
- Cybersecurity experience in SOAR, EDR, SIEM, XDR, or related domains.
- Experience with large-scale data processing, real-time pipelines, or event-driven architectures.
- Familiarity with AWS, Azure, GCP, Kubernetes, or Helm.
- Experience with MCP, function calling, agent orchestration, or systems integrating LLMs and AI services.
Culture & Benefits
- Work on cybersecurity innovation and an AI-powered SecOps platform.
- Collaborative culture focused on diversity, openness, and innovation.
- Opportunity to influence the integration architecture of a next-generation platform.
- Competitive salary and career growth opportunities.
Hiring process
- Successful finalists participate in an on-site interview with the team.
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