Founding DevOps Engineer(SRE)

At TechBiz Global, we are providing recruitment service to our TOP clients from our portfolio. We are currently seeking a Founding DevOps Engineer(SRE) to join one of our clients ' team. If you're looking for an exciting opportunity to grow in a innovative environment, this could be the perfect fit for you.

Berlin • Cybersecurity & AI Startup • Recently Funded

A newly funded cybersecurity startup in Berlin is looking for a DevOps Engineer to join as a founding team member and help design the core security, identity, and enforcement foundations of a next-generation AI-powered risk management platform.

Our client is an early-stage startup founded by experienced cybersecurity leaders with backgrounds in Israeli intelligence units.
We are looking for a hands-on Founding DevOps Engineer for a hybrid role based in central Berlin. If you are passionate about cybersecurity and AI, thrive in fast-paced startup environments, and enjoy building complex platforms from the ground up, this is an opportunity to make a real impact.

They’re building a next-generation cyber risk platform that helps enterprises understand, measure, and reduce identity risk at scale. Their 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, AI-driven analysis, and automated enforcement through AI agents.

Key Responsibilities

• Design, build, and operate the core cloud infrastructure of the platform from day one, supporting a secure, scalable, production-grade SaaS

• Own AWS environments end to end, including networking, IAM, compute, storage, and security boundaries

• Build and maintain Infrastructure as Code using Terraform to ensure repeatable, auditable, and secure deployments

• Design and operate CI/CD pipelines enabling fast, safe, and reliable delivery across all services

• Own containerized workloads using Docker and Kubernetes (EKS) , including deployment, scaling, and runtime security

• Implement observability across the platform using metrics, logs, and traces (Prometheus, OpenTelemetry, Grafana)

• Ensure high availability, reliability, and performance of production systems , including databases and graph stores

• Operate and secure data infrastructure (PostgreSQL, graph databases) in production environments

• Embed security best practices across infrastructure, including least privilege IAM, network isolation, and Zero Trust principles

• Partner closely with backend and AI engineers to design secure service boundaries and deployment models

• Troubleshoot and resolve complex production incidents across infrastructure, networking, and application layers

• Build PoCs and validate infrastructure and security design decisions in an early-stage environment

• Establish DevOps, SRE, and operational best practices as the company scales

• Support compliance readiness by enabling controls, logging, and evidence collection for security frameworks

• Continuously improve platform cost efficiency , reliability, and operational maturity

• Build whole platform DevOps setup from scratch

Must have skills:

• 5+ years of DevOps/SRE experience

• 5+ years experience with AWS in production environments

• Hands-on coding mentality; can build things from scratch including security architecture yourself

• Hands-on experience with Docker, Kubernetes (EKS) and containerized workloads

• Experience with CI/CD pipelines (GitHub Actions or similar)

• Experience operating PostgreSQL (RDS / Aurora), Neo4J(or similar)

• Practical knowledge of AWS networking, VPC, subnets, ALB, security groups, AWS IAM

• Experience with Infrastructure as Code (Terraform)

• Experience with monitoring, logging, observability (Grafana, OpenTelemetry, Prometheus)

• Ability to code in Python

• Experience with Coding CoPilots (Claude Code, GitHub Copilot, AWS CodeWhisperer, Codex, etc.)

• Knowledge of Experience supporting production SaaS platforms

• 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

• Excellent English communication skills

Nice-to-have requirements

• Experience working with Go or Java

• Experience with MLOps

• Experience with security architecture, identity security, or security engineering

• Familiarity with compliance frameworks (NIS2, DORA, ISO 27001, SOC 2)

• Understanding of OAuth/OIDC, API tokens, IdP, scopes, SSO, SCIM, roles, RBAC/ABAC, service accounts

• Familiarity with cloud identity and security controls (e.g. IAM, CloudTrail, Azure Active Directory / Entra ID )

• Hands-on with SIEM platforms such as Splunk, Microsoft Sentinel, or IBM QRadar

• Experience designing permission models, identity graphs, or access control frameworks

• Knowledge of tokenization, Zero Trust principles , least privilege, and continuous verification

• Experience with Security related to AI/LLM systems, agent logic, or willingness to learn fast

• Familiarity with AI agent behavior , LLM security, or agent sandboxing

• Previous experience in cybersecurity , identity startups

• You are a fan of rock or metal music

• Excellent German communication skills

Benefits

• Founding Team Member Equity — ESOPs in a well funded 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 security 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