Senior / Staff Software Engineer - Parser Team

Responsibilities

• Own the parser framework, identifying reusable patterns, designing primitives, improving hot-path performance, and raising reliability and testability standards.
• Make design decisions around schema mapping, normalization, malformed data, generalization versus specialization, and framework evolution.
• Drive high-impact parser integrations end-to-end.
• Partner with detection, data, and integration teams to ensure parsed data supports downstream use cases.
• Mentor junior engineers through design discussions and code reviews.
• Use LLM-based coding assistants, AI-driven test generation, and automated code review to accelerate development.
• Analyze unfamiliar log samples with LLMs, propose parsing rules, and bootstrap integrations while validating AI output.
• Automate regression testing, schema diffing, and sample ingestion.
• Help integrate AI tools into parser workflows and measure efficiency gains.

Requirements

• Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
• 5+ years of software engineering experience focused on data parsing, integration, or log processing.
• Strong proficiency in Python, Java, Ruby, or C++.
• Familiarity with JSON, XML, CSV, syslog, key-value data, and unstructured text.
• Strong command of regular expressions and pattern-matching techniques.
• Understanding of data normalization, schema design, and transformation principles.
• Experience integrating APIs, web services, and streaming data sources.
• Demonstrated production use of AI tools such as Copilot, Cursor, Claude, or ChatGPT.
• Working understanding of cybersecurity concepts and security-tool data.
• Strong problem-solving and communication skills.

Preferred Qualifications

• Experience with cybersecurity tools and platforms, including firewalls, IDS/IPS, EDR, SIEM, and cloud security services.
• Familiarity with AWS, Azure, GCP, CloudWatch, Azure Monitor, and Cloud Logging.
• Experience with Kafka, Spark, Hadoop, or similar big-data and streaming technologies.
• Experience with Docker and Kubernetes.
• Experience using LLMs for log analysis, parser generation, or schema inference.
• Familiarity with MCP, function calling, or agent frameworks.

Compensation and Benefits

• Base compensation: USD 150,000–200,000 per year.
• Bonus opportunity and equity; total compensation varies by candidate location.
• Pre-IPO stock options.
• Medical, dental, and vision care.
• Life insurance.
• 401(k).
• Employee Assistance Program.
• Paid time off.
• Referral Program.
• Rewards and Recognition Program.