Senior / Staff Software Engineer – Integration Team

🔥 10 minutes ago

🇺🇸 United States – Remote

💵 $160k - $245k / year

⏰ Full Time

🟠 Senior

💻 Solutions Engineer

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

👻 Ghost score 2%

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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 projects to completion • Own and evolve shared integration frameworks such as the parser framework • Identify reusable patterns and design primitives for other engineers • Improve performance on hot paths and raise reliability and testability standards • Make design decisions involving schema mapping, normalization trade-offs, malformed data, generalization, special-casing, and framework evolution • Partner with detection and data teams to ensure ingested data supports downstream use cases • Mentor junior engineers through design discussions and code reviews • Use LLM-based coding assistants, AI-driven testing, and automated code review • Use LLMs to analyze log samples, propose parsing rules, and accelerate integrations • Automate builds, deployments, monitoring, incident triage, parser regression testing, and schema diffing with AI and scripting • Champion AI adoption, build internal tooling, and measure efficiency gains • Deliver microservice-based integrations using REST, GraphQL, streaming APIs, MCP, and LLM-powered automation • Design, develop, and maintain parsing and normalization components for security data from hundreds of sources

🎯 Requirements

• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field • 5+ years of backend software development experience, including integration, data parsing, or log processing work • 1+ years as a technical lead or proven experience in taking full ownership of a project • Strong proficiency in at least one general-purpose programming language, such as Python, Go, Java, or C++ • Track record of writing production-quality code • Experience with API design and integration, including REST, GraphQL, streaming, OAuth, API keys, and rate limiting • Understanding of JSON, XML, CSV, syslog, key-value, unstructured text, regular expressions, data normalization, and schema design • Demonstrated regular production use of AI tools such as Copilot, Cursor, Claude, or ChatGPT • Judgment to assess when AI output requires human expertise • Strong problem-solving skills • Clear communication with engineers and non-technical stakeholders • Preferred: cybersecurity domain experience, including SOAR, EDR, SIEM, XDR, firewalls, IDS/IPS, or cloud security services • Preferred: experience building and operating production microservices • Preferred: large-scale data processing, real-time pipelines, or event-driven architectures such as Kafka or Spark • Preferred: distributed systems, message queues such as Kafka or RabbitMQ, or orchestration frameworks such as Celery or Airflow • Preferred: AWS, Azure, GCP, CloudWatch, Azure Monitor, Cloud Logging, Docker, Kubernetes, or Helm • Preferred: AI service integration, LLM APIs, embedding services, MCP, function calling, agent orchestration frameworks, or systems incorporating LLMs or AI services • Preferred: using LLMs for log analysis, parser generation, schema inference, or AI-based data engineering tooling

🏖️ Benefits

• Pre-IPO Stock Options (equity opportunity) • Medical, Dental & Vision care • Life Insurance • 401(k) • Employee Assistance Program • Employee Discount Program • Paid time off • Referral Program • Rewards and Recognition Program • Competitive salary • Ample career growth opportunities