Principal Software Engineer – AI Security

Jobtailor

Deutschland

Vor Ort

EUR 110.000 - 160.000

Vollzeit

14 Tage+

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Zusammenfassung

Jobtailor is seeking a senior Architect to design, extend and optimize a massive, fault-tolerant backend that processes billions of AI-related events in real time. You will set technical direction for data security, AI model integration, and enterprise-grade connectivity across SaaS and GenAI platforms.

You will work with a modern microservices stack (Go, Kubernetes, BigTable, BigQuery, Spanner, Redis, Docker, Etcd) and mentor engineers while raising the bar for performance, reliability, and

Qualifikationen

  • Experience building backends at scale and extending architecture, not just shipping features.
  • Hands-on Go development for large applications.
  • Experience with large-scale databases; knowledge of GCP services is a plus.
  • Experience profiling and optimizing distributed code with large databases and streaming platforms.

Aufgaben

  • Architect, extend, and optimize a large-scale, fault-tolerant system that handles billions of AI-related events in real time.
  • Set technical direction for securing data flowing into AI models, GenAI apps, and agents.
  • Architect and implement security features to protect customer data end-to-end.
  • Solve real-world scaling problems with thorough performance analysis and troubleshooting.
  • Mentor senior engineers, lead architecture reviews, and raise the technical bar for the team.

Kenntnisse

Go Programming
Microservices Architecture
Kubernetes Management
Performance Optimization
API Integration

Tools

GCP BigTable
GCP BigQuery
GCP Spanner
Docker
Redis
Etcd

Jobbeschreibung

  • Architect, extend, and optimize a large-scale, highly scalable, fault-tolerant system that handles large graph datasets at enterprise scale processing billions of AI-related events from hundreds of thousands of endpoints in real time, with sub-second latency requirements.
  • Set technical direction for how Cyberhaven secures data flowing into and out of AI models, GenAI applications, and agents, shaping architecture decisions that will define this product line for years to come.
  • Architect and implement security features that protect customer data end-to-end.
  • Solve real-world scaling problems that require thorough performance analysis and troubleshooting.
  • Work with a modern, constantly evolving microservices based stack including Go, Kubernetes, BigTable, BigQuery, Spanner, Redis, Docker, and Etcd.
  • Design and build connectors that integrate at the API level with SaaS and AI platforms commonly used in the enterprise (e.g. ChatGPT, Copilot, and other GenAI tools).
  • Write secure-by-design, hardened software that withstands real-world attacks while processing untrusted data and communicating with hundreds of thousands of endpoints over the internet.
  • Raise the technical bar across the team through architecture reviews, mentorship of senior/staff engineers, and setting patterns others follow.
Requirements
  • You have a strong track record building backends that are actively used at scale, and you've contributed significantly to and extended their architecture, not just shipped features.
  • You have deep, hands-on experience developing large applications in Go.
  • You've operated databases at very large scale. Knowledge of GCP services (BigTable, BigQuery, Spanner) is a plus.
  • You have experience profiling and optimizing distributed code that uses large databases and streaming platforms.
  • Experience building connectors that integrate at the API level with SaaS applications commonly used in the enterprise is a plus, especially with AI/LLM platforms.
  • You have hands-on production experience with microservices and Kubernetes.
  • You have excellent verbal and written communication skills in English, and can be available to frequently communicate with distributed teams in Europe and the US.
  • You thrive in fast-paced environments tackling ambiguous challenges, and you enjoy shipping with velocity.
  • You have a customer-centric mindset and enjoy direct feedback from customers.
  • You are based in India or the EU.
Core Competencies

Demonstrates expertise in architecting and optimizing large-scale, fault-tolerant systems, with a strong focus on security and performance analysis. Proficient in developing applications using Go and managing databases at scale, while effectively communicating with distributed teams.

Highest-signal resume keywords
  • Go Programming
  • Microservices Architecture
  • Kubernetes Management
  • Performance Optimization
  • API Integration
ATS Optimization Keywords
Hard Skills
  • Large-Scale System Architecture
  • Database Management
  • Performance Analysis
  • Secure Software Development
  • Distributed Systems
Soft Skills
  • Excellent Communication Skills
  • Customer-Centric Mindset
  • Mentorship
Industry Keywords
  • AI-Related Events
  • GenAI Applications
  • SaaS Integration
  • Real-Time Processing
  • Fault-Tolerant Systems
Tools & Technologies
  • GCP BigTable
  • GCP BigQuery
  • GCP Spanner
  • Docker
  • Redis
  • Etcd
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