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Open nowPosted 4 days ago

Sr. Integration Software Engineer - Taiwan

Workable (global search)108,016 open roles

Where
Taiwan
Work mode
Remote
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Your applicationOpen nowSr. Integration Software Engineer - TaiwanWorkable (global search) · Taiwan

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Early applications get read.

7.9% of postings close within 7 days. Measured by our own scanner across the market. Workable (global search) postings stay open a median of 7 days.

Share of postings closed within
  1. 1.6%1 day
  2. 3.6%3 days
  3. 7.9%7 days
  4. 14.9%14 days
  5. 34.0%30 days
This job: posted 4 days ago

Workable (global search) median: 7 days open

The posting

Join a fast-growing global leader in cybersecurity, trusted by some of the biggest names in the industry. In addition to some of the world’s largest enterprises and government agencies, more than 30% of the world’s top MSSPs rely on our platform. We’re at the forefront of protecting organizations against sophisticated cyber threats using cutting-edge AI and automation technologies. Our culture is built on diversity, openness, and collaboration, fostering creativity and innovation that drives real impact in the market.

Position Overview

We are looking for a Senior Software Engineer to take ownership of one or more integration domains on our Automation-Driven Open & Unified SecOps Platform (powering our AI-driven SIEM, NDR, Open XDR, and Multi-Layer AI).

This role requires delivering robust, production-grade integrations that support our growing customer base, while driving forward so the platform can scale to the next level. You will deliver microservice-based solutions spanning both traditional and AI-native integration patterns—REST, GraphQL, streaming APIs, MCP, and LLM-powered automation—connecting our platform with a wide range of cybersecurity tools and third-party services.

Please note, as part of our interview process, we will be inviting successful finalists for an on-site interview to meet with our team.

What You Will Own

We need someone who focuses on the work AI cannot do—and uses AI to amplify everything else.

The work only you can do

  • Own one or more integration domains end-to-end: roadmap, architecture decisions, trade-offs, and delivery. You identify what needs solving, scope it, and drive it to completion.

What you’ll use AI to amplify

  • Accelerate your own design and development workflow using LLM-based coding assistants, AI-driven testing, and automated code review.
  • Automate repetitive engineering tasks—builds, deployments, monitoring, incident triage—using AI and scripting, so the team spends more time on high-value work.
  • Champion AI adoption across the team: help colleagues integrate AI tools into their daily work, build internal tooling where it adds leverage, and measure the efficiency gains.

Requirements

  • Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field
  • 5+ years of backend software development experience, with 1+ years as a technical lead or proven experience in taking full ownership of a project.
  • Proficiency in Python, Go, or Java with a strong foundation in building and operating microservices in production.
  • Deep experience with API design and integration—both traditional (REST, GraphQL, streaming) and AI service integration (LLM APIs, embedding services)—including secure API patterns (OAuth, API keys, rate limiting).
  • Strong background in distributed systems, message queues (Kafka, RabbitMQ), or orchestration frameworks (Celery, Airflow, or similar).
  • Demonstrated ability to use AI tools (e.g., Copilot, Cursor, Claude, ChatGPT) to meaningfully accelerate engineering workflows—not just experimentation, but regular use in production work. You have the judgment to know when AI output is trustworthy and when it needs human expertise.

Preferred Qualifications

  • Experience in cybersecurity domains: SOAR, EDR, SIEM, XDR, or similar.
  • Hands-on experience with large-scale data processing, real-time pipelines, or event-driven architectures.
  • Familiarity with cloud platforms (AWS, Azure, GCP) and containerized deployments (Kubernetes, Helm).
  • Experience with AI-native integration patterns—such as MCP (Model Context Protocol), function calling, or agent orchestration frameworks—or hands-on experience building systems that incorporate LLMs or AI services into workflows or product features.

Why Join Us

  • Work at the forefront of cybersecurity innovation within a dynamic, fast-growing team.
  • Opportunity to significantly influence and shape the integration architecture of a next-generation SecOps platform powered by AI and automation.
  • Competitive salary and ample career growth opportunities
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