Cybersecurity Software Engineer II – ML & AI

Jobtailor; Deutschland; Remote; EUR 70.000 - 100.000; Vollzeit

Zusammenfassung

Jobtailor in Germany is seeking an AI security software engineer to design and develop innovative, AI-powered security solutions for enterprise systems, applications, and data.

You will leverage Python and Java, LangChain frameworks, MCP, and RAG techniques within cloud-native Google Cloud Platform environments to build secure, scalable services and APIs.

The role requires collaboration with DevOps, security teams, and managed providers, plus strong debugging, testing, and documentation practices.

Qualifikationen

• 1–3 years of relevant software development experience preferred.
• Experience programming in Python and at least one OO language; Java preferred.
• Experience building agentic AI systems with LangChain/LangGraph or similar.
• Experience developing or integrating MCP servers/clients.
• Experience building retrieval-augmented generation (RAG) systems.
• Experience with AI evaluation, guardrails, prompt engineering, and safe operation defenses.
• Experience with cloud-native development on GCP and Vertex AI; Azure/AWS ok.
• Experience SQL queries against relational databases; familiarity with NoSQL and vector DBs.

Aufgaben

• Design and develop AI-powered security solutions for enterprise systems.
• Leverage cloud technologies and modern software practices for secure apps.
• Configure cybersecurity systems to mitigate risk.
• Troubleshoot and resolve escalated incidents quickly.
• Coordinate integration with managed security providers and teams.
• Investigate incidents and recommend corrective actions.
• Support cybersecurity capabilities and business objectives across the organization.

Kenntnisse

Python

Java

LangChain

MCP

RAG

SQL

CI/CD

Git

Cloud

HTML/CSS/JS/TS

Ausbildung

Bachelor's degree

Tools

Google Cloud Platform

Vertex AI

BigQuery

Pub/Sub

Secret Manager

CI/CD Tools

DevOps Tools

Jobbeschreibung

• Design and develop innovative AI-powered security solutions protecting enterprise systems, applications, and data
• Leverage modern software engineering practices, cloud technologies, and emerging AI frameworks to build secure, scalable applications
• Configure and integrate cybersecurity systems that mitigate risk
• Troubleshoot and quickly resolve escalated incidents
• Design, build, configure, maintain, and monitor cybersecurity threat defense capabilities and user access management
• Coordinate integration and collaboration with managed security providers
• Investigate incidents and recommend corrective actions
• Support cybersecurity capabilities and business objectives across the organization
• Report typically to a Manager or Senior Manager; no direct reports

Requirements

• 1–3 years of relevant software development or engineering experience preferred
• Experience programming in Python and at least one object-oriented programming language; Java preferred
• Experience building agentic AI systems using frameworks such as LangChain/LangGraph, Google Agent Development Kit (ADK), or similar
• Experience developing or integrating Model Context Protocol (MCP) servers and clients
• Experience building retrieval-augmented generation (RAG) systems
• Experience with AI evaluation, guardrails, prompt engineering, prompt-injection defense, and unsafe-tool-invocation defense
• Experience with cloud-native application development on Google Cloud Platform, including Vertex AI, Gemini Enterprise Agent Platform, Agent Engine, Cloud Run, BigQuery, Pub/Sub, and Secret Manager; equivalent Azure or AWS experience considered
• Experience writing and optimizing SQL queries against relational databases
• Familiarity with relational, NoSQL, and vector databases
• Experience building and supporting microservice architectures and APIs
• Experience with CI/CD pipelines, DevOps practices, and automated deployment tools
• Experience with Git and version control systems
• Understanding of authentication, authorization, sensitive-data handling, data classification, model endpoint controls, and retention
• Familiarity with MITRE ATT&CK, cyber threat intelligence, detection engineering, or offensive security, or demonstrated interest in developing it
• Experience with debugging, monitoring, root cause analysis, observability, and LLM application cost monitoring
• Experience creating and executing unit, functional, integration, performance, and automated tests
• Understanding of code reviews, testing, documentation, and agile development methodologies
• Working knowledge of HTML, CSS, JavaScript, and TypeScript frameworks
• Must be eighteen years of age or older
• Must be legally permitted to work in the United States
• Bachelor's degree or equivalent degree in a job-related field
• Minimum 2+ years of work experience

Core Competencies

Demonstrates expertise in designing and developing AI-powered security solutions, leveraging cloud technologies and modern software engineering practices. Proficient in programming with Python and Java, with a strong understanding of cybersecurity principles and practices.

Highest-signal resume keywords

• Python Programming
• AI Frameworks (LangChain, Google ADK)
• Cloud-Native Application Development (Google Cloud Platform)
• Cybersecurity Threat Defense
• CI/CD Pipelines and DevOps Practices

ATS Optimization Keywords

Hard Skills

• Java Programming
• Model Context Protocol (MCP)
• Retrieval-Augmented Generation (RAG)
• SQL Query Optimization
• Microservice Architecture
• APIs Development
• Debugging and Monitoring
• Unit and Integration Testing
• HTML, CSS, JavaScript, TypeScript
• Version Control (Git)

Soft Skills

• Problem-Solving
• Collaboration
• Incident Investigation
• Communication

Industry Keywords

• Cybersecurity
• MITRE ATT&CK
• Cyber Threat Intelligence
• Detection Engineering
• Agile Development

Tools & Technologies

• Google Cloud Platform
• Vertex AI
• BigQuery
• Pub/Sub
• Secret Manager
• CI/CD Tools
• DevOps Tools