# Senior / Staff Software Engineer - Parser Team

**Company:** [Stellar Cyber](https://hotfix.jobs/companies/stellar-cyber)
**Location:** Remote
**Role:** Backend Engineering
**Salary:** $150k – $200k/yr
**Experience:** 5+ years
**Skills:** Python, Java, Ruby, C++, JSON, xml, csv, syslog, regular expressions, data normalization, schema design, APIs, Kafka, Docker, Kubernetes
**Posted:** 2026-08-14

> Owns the parser framework and develops high-volume parsing and normalization components for cybersecurity data, partnering with downstream detection and integration teams. Requires 5+ years of software engineering experience, strong programming and data-format expertise, and effective production use of AI-assisted development tools.

## Job Description

## 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.

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