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About the Role
We are seeking an individual to make implicit system design decisions explicit and ensure they are robust. This involves codifying golden paths, building shared primitives and APIs, owning system architecture, and establishing reliability standards. The role sits at the intersection of software engineering, DevOps, and SRE, focusing on application code and system design.
Responsibilities
- Make the easiest way for product engineers to do something also the most secure, reliable and scalable way by default.
- Build shared primitives, libraries, and APIs that hide complexity and carry quality and observability standards.
- Own the architecture and core stack, defining standardization, reuse, and future system direction.
- Implement infrastructure as code for cloud resources, dashboards, and alerts.
- Provision, run, and tune Kubernetes clusters and cloud footprint.
- Keep CI fast as the deploy rate grows.
- Define SLIs for workloads, build SLOs, and ensure high-signal alerting.
- Drive down AI and infrastructure spend.
- Keep internal foundations secure by default, including IAM, dependency management, and secrets.
- Own the authentication and authorization stack, including ReBAC models for humans and agents.
- Implement SOC 2 and ISO 27001 controls efficiently.
- Ensure documentation and agent guidelines are in place for product engineers and agents.
- Shorten the path from design to implementation with standardized automations and development environments.
Requirements
- Designed, built, and operated distributed systems end-to-end, understanding all interactions.
- Strong backend software engineering and DevOps/SRE skills.
- Experience writing design docs, RFCs, ADRs, and postmortems.
- Ability to reach for simple solutions, distinguish essential from accidental complexity, and identify safe shortcuts.
- Capacity to approach hard problems from alternative perspectives.
- Scaled Postgres or another relational transactional database under real load.
- Experience running production Kubernetes.
- Experience building observability (SLIs, SLOs, distributed tracing) rather than inheriting it.
- Experience designing a system from scratch, running it in production, and documenting design decisions.
Skills
- Backend software engineering
- DevOps
- SRE
- Design documentation
- RFC writing
- ADR writing
- Postmortem analysis
- Distributed systems
- Kubernetes
- Observability
- SLIs
- SLOs
- Distributed tracing
- Postgres
- Relational transactional databases
- IAM
- Dependency management
- Secrets management
- Authentication
- Authorization
- ReBAC models
- SOC 2
- ISO 27001
- Infrastructure as code
- CI/CD
- Cloud resources management
- Alerting
- Workflow orchestration
- Background job processing
- LLM-based products
- Agentic systems
- Audit
- Finance
- Compliance
- Azure
- GCP
Location
- Berlin
Work Type
- On-site
Experience Level
- Senior
Benefits
- Meaningful equity
- Competitive salary
About the Company
- Cortea runs AI agents over customer documents in a high-stakes domain.
- Platform at Cortea sits between software engineering, DevOps and SRE, with engineers as customers.
- We use AI heavily and encourage its use.
- We are building intelligent systems for a $200bn industry.
- Based in Berlin, with AI at the core.