Cygrid
Cygrid
Cygrid dezvoltă o platformă de gestionare a riscurilor de identitate, concepută de la început pentru inteligența artificială, destinată organizațiilor care gestionează identități în medii SaaS, cloud și locale. Centrul său de comandă pentru identități reunește identitățile oamenilor, mașinilor și agenților de inteligență artificială cu date despre securitate și conformitate, pentru a evidenția expunerea la riscuri, căile de atac și configurările greșite. Agenții autonomi de inteligență artificială ajută la detectarea și prioritizarea riscurilor de identitate, coordonează remedierea prin instrumentele de securitate existente și furnizează informații continue despre riscuri. Cygrid se află în modul stealth pentru produs.

Founding Backend Engineer (Go)

Build the core identity, security, and enforcement systems for an AI-powered cyber risk platform. Help shape how enterprise customers assess and manage identity risk.

Descriere

  • Build and maintain backend services in Go.
  • Design and optimize cloud solutions with AWS EC2, Lambda, S3, SQS, and SNS.
  • Design and manage data stores including PostgreSQL, Neo4J, Redis, and Elasticsearch.
  • Develop and optimize Docker-based containerized applications.
  • Automate workflows with Bash and Python scripts.
  • Maintain and improve REST APIs for security and performance.
  • Collaborate with frontend, DevOps, and product teams to deliver robust applications.
  • Monitor, troubleshoot, and improve backend performance, reliability, and scalability.
  • Implement caching, message queues, and event-driven architectures as needed.
  • Build the platform from the ground up.
  • As a founding team member, design foundational security, identity, and enforcement systems for an AI-powered security risk management platform.
  • Help enterprises manage identity risk with cloud-native systems, AI-driven analysis, and automated enforcement through AI agents.

Cerințe

  • At least five years of Go experience.
  • A hands-on approach, ability to build from scratch, and familiarity with varied architectures.
  • Practical experience with Docker, Kubernetes (EKS), and containerized workloads.
  • Experience designing REST and gRPC APIs and using frameworks such as Gin.
  • Practical experience with messaging systems such as SQS and Kafka.
  • Experience with CI/CD pipelines such as GitHub Actions.
  • Experience operating PostgreSQL (RDS/Aurora), Neo4J, or a comparable database.
  • Experience with AI agents, LLM-based systems, MCP, RAG, prompts, embeddings, and vector technologies.
  • Experience with AI tools and platforms such as AWS Bedrock, LangChain, and pgvector, or similar.
  • Experience with infrastructure as code using Terraform.
  • Experience with monitoring, logging, and observability tools such as Grafana, OpenTelemetry, and Prometheus.
  • Ability to troubleshoot production issues end to end.
  • Experience with coding assistants such as Claude Code, GitHub Copilot, AWS CodeWhisperer, and Codex.
  • Experience supporting production SaaS platforms.
  • Strong understanding of SaaS integrations and application-to-application permission flows.
  • Strong sense of ownership, a startup mindset, and ability to move quickly.
  • Experience in a startup or scale-up environment.
  • Low ego, strong commitment, and a startup-oriented approach to technology.
  • Strong problem-solving skills and ability to work collaboratively.
  • Excellent English communication skills.

Beneficii

  • Equity through an employee stock option plan at a cybersecurity company.
  • Market-aligned compensation, with flexible arrangements possible at this early stage.
  • Founding team role with the opportunity to shape the company from day one and own key technical decisions.
  • Funding secured to support near-term building, hiring, and execution.
  • Opportunity to contribute to security architecture across identity, AI agents, and enforcement.
  • High autonomy to design and build with minimal corporate overhead.
  • Work closely with the technical CEO and CPTO for fast iteration, alignment, and clear direction.
  • Work in identity security, SaaS-to-SaaS access, and AI agent governance.
  • Rapid learning opportunities in cybersecurity, identity, and AI systems.
  • Potential to grow into a leadership role as the engineering team expands.
  • Berlin location in a strong technology, cybersecurity, and AI ecosystem.
  • Your architecture and code will form the foundation of the platform.
  • High-quality equipment and modern tools provided from your first day.
  • Regular team offsites to build connections, alignment, and shared momentum.

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