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Cyber risk management platform for enterprise identities. Smart AI intelligence for discovery, scoring, and enforcement.
The Role
Join as a founding backend engineer to design and build core security, identity, and enforcement platform components using Go, cloud-native AWS services, databases, containerization, AI/LLM stacks, and observability tools. Deliver production-grade, scalable SaaS features and integrations.
Summary Generated by Built In
Berlin • Cybersecurity & AI Startup • Recently Funded
A newly funded cybersecurity startup in Berlin is looking for a Backend Engineer(Go) to join as a founding team member and help design the core security, identity, and enforcement foundations of a next-generation AI-powered security risk management platform.
We are an early-stage startup founded by experienced cybersecurity leaders with backgrounds in Israeli Intelligence units. We are looking for a hands-on Founding Backend Engineer(Go) for a hybrid role based in central of Berlin. If you are passionate about cybersecurity and AI tech, thrive in fast-paced startup environments, and enjoy building complex platforms from the ground up, this is an opportunity to make a real impact.
We’re building a next-generation cyber risk platform that helps enterprises understand, measure, and reduce identity risk at scale. Our goal is to turn complex identity and security data into clear, actionable risk insights that CISOs and CTOs can trust. You will work from scratch on core platform components from day one, shaping how modern enterprises manage and reason about risk using cloud-native systems and AI-driven analysis and automated enforcement through AI Agents.
Tasks
Key Responsibilities
* Develop and maintain backend applications using Go
* Design and optimize cloud-based solutions using AWS services (EC2, Lambda, S3, SQS, SNS, etc.)
* Design, use and manage databases, including PostgreSQL, Neo4J, Redis, and Elasticsearch
* Develop, manage, and optimize containerized applications using Docker
* Automate processes using Bash/Python scripting
* Optimize and maintain RESTful APIs, ensuring security and performance
* Work closely with frontend engineers, DevOps, and product team to deliver robust applications
* Monitor, debug, and improve backend performance, reliability, and scalability
* Implement caching, messaging queues, and event-driven architectures where needed
* Build whole platform from scratch
Requirements
Must have skills
* 5+ years of GoLang experience
* Hands-on coding mentality; can build things from scratch and familiar with different architectures
* Hands-on experience with Docker, Kubernetes (EKS) and containerized workloads
* Experience designing RESTful and gRPC APIs and using frameworks like Gin
* Hands-on experience with messaging systems (e.g., SQS, Kafka)
* Experience with CI/CD pipelines (GitHub Actions or similar)
* Experience operating PostgreSQL (RDS / Aurora), Neo4J(or similar)
* Experience with AI agents, LLM-based systems, MCP, RAG, Prompts, Embeddings, Vector, etc
* Experience with AI stack(AWS Bedrock, LangChain, pgvector or similar)
* Experience with Infrastructure as Code (Terraform)
* Experience with monitoring, logging, observability (Grafana, OpenTelemetry, Prometheus)
* Ability to troubleshoot production issues end to end
* Experience with Coding CoPilots(Claude Code, GitHub Copilot, AWS CodeWhisperer, Codex, etc.)
* Experience supporting production SaaS platforms
* Strong understanding of SaaS integrations and app-to-app permission flows
* High ownership mentality, startup mindset, and ability to move quickly
* Experience in startup or scale-up environments
* Low ego, high commitment, and a true tech startup mentality
* Strong problem-solving skills and ability to work in a collaborative environment
* Excellent English communication skills
Benefits
Benefits
* Founding Team Member Equity — ESOPs in a cybersecurity company
* Competitive Compensation — salary aligned with market, flexible early-stage arrangements possible
* Founding Team Member Status — shape the company from day one and own critical technical decisions
* Fresh Funding Secured — immediate runway to build, hire, and execute fast
* Security Contribution — contribute to security architecture across identity, AI agents, and enforcement
* High Autonomy — freedom to design and build without corporate overhead
* Work with a Technical CEO and CPTO — fast iteration, strong alignment, clear direction
* Cutting-Edge Domain — identity security, SaaS-to-SaaS access, AI agent governance
* Massive Learning Curve — quickly gain depth in cybersecurity, identity, and AI systems
* Fast Career Path — opportunity evolve into leadership as we scale the engineering team
* Berlin Location — top-tier tech environment with strong cybersecurity and AI ecosystems
* Direct Impact — your architecture and code become the foundation of the entire platform
* Best Equipment and Tools - High quality equipment and modern tools to help you do your best work from day one
* Team Offsites - Regular team offsites designed to build strong connections, alignment, and shared momentum
A newly funded cybersecurity startup in Berlin is looking for a Backend Engineer(Go) to join as a founding team member and help design the core security, identity, and enforcement foundations of a next-generation AI-powered security risk management platform.
We are an early-stage startup founded by experienced cybersecurity leaders with backgrounds in Israeli Intelligence units. We are looking for a hands-on Founding Backend Engineer(Go) for a hybrid role based in central of Berlin. If you are passionate about cybersecurity and AI tech, thrive in fast-paced startup environments, and enjoy building complex platforms from the ground up, this is an opportunity to make a real impact.
We’re building a next-generation cyber risk platform that helps enterprises understand, measure, and reduce identity risk at scale. Our goal is to turn complex identity and security data into clear, actionable risk insights that CISOs and CTOs can trust. You will work from scratch on core platform components from day one, shaping how modern enterprises manage and reason about risk using cloud-native systems and AI-driven analysis and automated enforcement through AI Agents.
Tasks
Key Responsibilities
* Develop and maintain backend applications using Go
* Design and optimize cloud-based solutions using AWS services (EC2, Lambda, S3, SQS, SNS, etc.)
* Design, use and manage databases, including PostgreSQL, Neo4J, Redis, and Elasticsearch
* Develop, manage, and optimize containerized applications using Docker
* Automate processes using Bash/Python scripting
* Optimize and maintain RESTful APIs, ensuring security and performance
* Work closely with frontend engineers, DevOps, and product team to deliver robust applications
* Monitor, debug, and improve backend performance, reliability, and scalability
* Implement caching, messaging queues, and event-driven architectures where needed
* Build whole platform from scratch
Requirements
Must have skills
* 5+ years of GoLang experience
* Hands-on coding mentality; can build things from scratch and familiar with different architectures
* Hands-on experience with Docker, Kubernetes (EKS) and containerized workloads
* Experience designing RESTful and gRPC APIs and using frameworks like Gin
* Hands-on experience with messaging systems (e.g., SQS, Kafka)
* Experience with CI/CD pipelines (GitHub Actions or similar)
* Experience operating PostgreSQL (RDS / Aurora), Neo4J(or similar)
* Experience with AI agents, LLM-based systems, MCP, RAG, Prompts, Embeddings, Vector, etc
* Experience with AI stack(AWS Bedrock, LangChain, pgvector or similar)
* Experience with Infrastructure as Code (Terraform)
* Experience with monitoring, logging, observability (Grafana, OpenTelemetry, Prometheus)
* Ability to troubleshoot production issues end to end
* Experience with Coding CoPilots(Claude Code, GitHub Copilot, AWS CodeWhisperer, Codex, etc.)
* Experience supporting production SaaS platforms
* Strong understanding of SaaS integrations and app-to-app permission flows
* High ownership mentality, startup mindset, and ability to move quickly
* Experience in startup or scale-up environments
* Low ego, high commitment, and a true tech startup mentality
* Strong problem-solving skills and ability to work in a collaborative environment
* Excellent English communication skills
Benefits
Benefits
* Founding Team Member Equity — ESOPs in a cybersecurity company
* Competitive Compensation — salary aligned with market, flexible early-stage arrangements possible
* Founding Team Member Status — shape the company from day one and own critical technical decisions
* Fresh Funding Secured — immediate runway to build, hire, and execute fast
* Security Contribution — contribute to security architecture across identity, AI agents, and enforcement
* High Autonomy — freedom to design and build without corporate overhead
* Work with a Technical CEO and CPTO — fast iteration, strong alignment, clear direction
* Cutting-Edge Domain — identity security, SaaS-to-SaaS access, AI agent governance
* Massive Learning Curve — quickly gain depth in cybersecurity, identity, and AI systems
* Fast Career Path — opportunity evolve into leadership as we scale the engineering team
* Berlin Location — top-tier tech environment with strong cybersecurity and AI ecosystems
* Direct Impact — your architecture and code become the foundation of the entire platform
* Best Equipment and Tools - High quality equipment and modern tools to help you do your best work from day one
* Team Offsites - Regular team offsites designed to build strong connections, alignment, and shared momentum
Skills Required
- 5+ years Go (Golang) experience
- Hands-on experience building systems from scratch and familiarity with different architectures
- Hands-on experience with Docker and Kubernetes (EKS) containerized workloads
- Designing and implementing RESTful and gRPC APIs; experience with Gin
- Experience with messaging systems (SQS, Kafka)
- Experience with CI/CD pipelines (GitHub Actions or similar)
- Operate and optimize PostgreSQL (RDS/Aurora) and Neo4J (or similar)
- Experience with Redis and Elasticsearch
- Experience with AWS services (EC2, Lambda, S3, SQS, SNS, etc.)
- Experience with AI agents, LLM-based systems, RAG, embeddings, and prompt engineering
- Experience with AI stack tools (AWS Bedrock, LangChain, pgvector or similar)
- Infrastructure as Code experience (Terraform)
- Monitoring, logging, and observability experience (Grafana, OpenTelemetry, Prometheus)
- Ability to troubleshoot production issues end-to-end and support production SaaS platforms
- Strong understanding of SaaS integrations and app-to-app permission flows
- Experience in startup or scale-up environments and high ownership startup mentality
- Proficiency with scripting for automation (Bash, Python)
- Familiarity with AI coding assistants (Claude Code, GitHub Copilot, AWS CodeWhisperer, Codex)
- Excellent English communication skills
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The Company
What We Do
Cygrid turns identity data into quantified risk scores and automated enforcement, delivering predictable risk reduction and measurable ROI. Our solution uses AI agents to continuously assess identity risk and reduce exposure across cloud and SaaS environments. Cygrid covers human, non-human, and AI agent identities, providing unified visibility across the entire identity landscape. We help CISOs, CTOs, CROs, and technical teams uncover hidden attack paths, reduce the identity attack surface, and make the identity space measurable, actionable, and controllable for Enterprises. Cygrid platform makes Identity risk management simple. Our team will be happy to talk to you and see how our solution will help you to manage cyber risks for identities efficient and secured. Cygrid builds a high ownership culture focused on trust, accountability, and results. We work in a flexible hybrid model, encourage direct communication, and expect initiative from every team member. We value integrity, continuous learning, and strong collaboration across product, engineering, and security. Identity Security made easy!
Why Work With Us
Cygrid’s mission is to empower enterprises to gain real-time visibility and control over identity-driven cyber risk by unifying security, compliance, and operational data into one intelligent risk platform that enables faster, measurable risk reduction at scale.
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