Mitiga
Mitiga
Mitiga is a cloud security company focused on helping organizations detect, investigate, and respond to threats across modern cloud environments. Its platform brings together Cloud Detection and Response and Managed Detection and Response capabilities, with visibility into SaaS, cloud, and identity services. By supporting automated investigations and coordinated threat response, Mitiga helps security teams address evolving risks more efficiently.

Senior Software Engineer, Cloud Security Detection

Join Mitiga as a Senior Software Engineer building Python and PySpark systems for cloud security detection. The role combines detection logic, LLM-enabled workflows, and scalable security data processing.

Description

  • Strengthen and expand a large production Python codebase through refactoring, module and API design, type annotations, and broader test coverage.
  • Own and improve critical PySpark workflows that process large-scale security datasets across multiple cloud environments.
  • Create the data models and queries that power the detection engine.
  • Diagnose and resolve query performance issues.
  • Partner with cyber investigators to convert attacker behavior into production-ready detection logic.
  • Apply AI coding agents while developing automated and agentic workflows and services backed by large language models.
  • Raise engineering standards through code reviews, continuous integration, and team-wide practices.
  • Help shape architectural decisions and the platform’s technical direction as it develops.

Requirements

  • At least five years of professional Python experience in production environments.
  • Practical experience with type annotations, refactoring unfamiliar code, module and API design, pytest, packaging, and code review.
  • Hands-on SQL expertise covering schema design and optimization of slow queries.
  • Experience working with AI coding agents, including Claude Code.
  • Experience delivering LLM-based products or services, including prompt design, structured outputs, multi-step or agentic orchestration, and testing nondeterministic behavior.
  • Strong Git and continuous integration skills, including troubleshooting and repairing failed pipelines.
  • Comfort working effectively in a fast-moving startup setting.
  • AWS experience with services such as S3, IAM, and compute is advantageous.
  • Experience with AWS Bedrock is advantageous.
  • Experience with workflow automation and agent platforms such as n8n, LangGraph, or Temporal is advantageous.
  • Familiarity with MCP servers or tool-calling integrations is advantageous.
  • Experience working with both Spark and Kafka is advantageous.
  • A background in security, detection engineering, or SIEM is advantageous.

Benefits

  • Competitive compensation package that includes stock options.
  • Educational funds.
  • Cibus.
  • High-quality work equipment.
  • Hybrid working environment.

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