Senior Integration Software Engineer

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Stellar Cyber

WebsiteLinkedInAll Job Openings

51 - 200 employees

🔒 Cybersecurity

🤖 Artificial Intelligence

🏢 Enterprise

💰 $38M Series B on 2021-11

Cybersecurity • Artificial Intelligence • Enterprise

Stellar Cyber is a company that provides an automation-driven security operations platform seamlessly integrating next-generation SIEM, Network Detection and Response (NDR), and Open Extended Detection and Response (XDR). Their platform utilizes advanced AI to quickly detect and correlate cybersecurity threats across various security tools, offering comprehensive threat intelligence and automated incident response to enhance security operations for enterprises, MSSPs, and MSPs. With a focus on reducing security operation costs and improving threat response times, Stellar Cyber helps organizations protect their entire attack surface, including on-premises, cloud, and IT/OT environments.

📋 Description

• Own one or more integration domains end-to-end, including roadmap, architecture decisions, trade-offs, and delivery • Identify problems, scope solutions, and drive them to completion • Deliver robust, production-grade integrations supporting the growing customer base • Develop microservice-based solutions using REST, GraphQL, streaming APIs, MCP, and LLM-powered automation • Connect the platform with cybersecurity tools and third-party services • Accelerate design and development using LLM-based coding assistants, AI-driven testing, and automated code review • Automate builds, deployments, monitoring, and incident triage using AI and scripting • Champion AI adoption across the team and help colleagues integrate AI tools into daily work • Build internal tooling where it adds leverage and measure efficiency gains

🎯 Requirements

• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field • 3+ years of backend software development experience • Proficiency in Python, Go, or Java • Strong foundation in building and operating production microservices • Deep experience with API design and integration, including REST, GraphQL, streaming APIs, LLM APIs, and embedding services • Experience with secure API patterns, including 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 • Demonstrated regular production use of AI tools such as Copilot, Cursor, Claude, or ChatGPT to accelerate engineering workflows • Judgment to assess when AI output is trustworthy and when human expertise is required • Preferred: cybersecurity domain experience in SOAR, EDR, SIEM, XDR, or similar • Preferred: large-scale data processing, real-time pipelines, or event-driven architectures • Preferred: cloud platforms such as AWS, Azure, or GCP • Preferred: containerized deployments using Kubernetes or Helm • Preferred: AI-native integration patterns including MCP, function calling, or agent orchestration frameworks • Preferred: experience building systems incorporating LLMs or AI services into workflows or product features

🏖️ Benefits

• Competitive salary • Ample career growth opportunities