
Posted 5 months ago
Tech Lead
AI Summary
Lead architect and hands-on engineer responsible for driving innovation prototypes, delivering end-to-end thin vertical slices, and ensuring prototypes are ready for adoption within the OIP platform.
About this role
Tech Lead
Company
Orcrist builds the Orcrist Intelligence Platform (OIP), a Kubernetes-based data intelligence system delivered as SaaS or self-hosted/on-prem (including air-gapped deployments). We fuse streaming, batch, and ML workloads with a modern web application to support defense, law-enforcement, and enterprise missions.
Role
Lead Innovation’s technical execution of time-boxed discovery and prototyping cycles. You’ll stay hands-on (~50%+), build thin vertical slices end-to-end, and ensure prototypes are adoption-ready—aligned with OIP’s Core primitives (IAM, audit, multitenancy) and Platform/Foundation standards.
What you'll do
- Own architecture and technical direction for Innovation prototypes: interfaces, tradeoffs, and decision records (RFCs/ADRs).
- Build thin vertical slices across UI, APIs, and pipelines—shipping demo-ready reference implementations with feature flags.
- Validate feasibility under real deployment constraints (cloud, on-prem, air-gapped) and partner early with Core/Foundation/Platform.
- Produce excellent handoff packages: technical designs, schemas, runbooks, and an integration backlog teams can execute.
- Mentor engineers through design/code reviews and set quality guardrails (testing, observability, “prototype but operable” standards).
About you
- 7+ years engineering experience; 2+ years leading architecture and delivery outcomes.
- Expert TypeScript/Node.js with strong full-stack fluency (React/Next.js + backend services).
- Strong distributed-systems fundamentals (Kafka/event-driven design) and practical Kubernetes experience.
- Operational mindset: logs/metrics/traces, rollout gates, and SLO-oriented thinking (OpenTelemetry/Prometheus).
- Strong technical writing and cross-team collaboration; comfortable in ambiguous, time-boxed environments.
- Eligible to work in Germany; EU/NATO citizenship preferred for export-controlled projects.
Nice‑to‑haves
- Python proficiency and experience integrating ML enrichment services into product flows.
- Search/graph experience (OpenSearch, graph systems) and data-heavy UI performance instincts.
- German language (B1+) and/or experience in regulated domains (defense, law enforcement, govtech).
What We Offer
- Modern stack: TypeScript/Next.js, Kafka/Temporal, Kubernetes, OpenSearch/Postgres, and ML-touching services.
- Remote-first in Germany with regular Berlin prototyping intensives, 30 days vacation, equipment & learning budget.
- High autonomy and high leverage: you help decide what becomes the next generation of OIP capabilities.
Skills
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