Pioneering Future Technologies with Advanced AI and Data Analytics
Tech Lead, TypeScript
Location
Germany
Posted
103 days ago
Salary
0
Seniority
Senior
Job Description
Tech Lead, TypeScript
Orcrist Technologies GmbH
• Own and evolve Insights surfaces: Shaping APIs, data models, and UX of entity Insights, records browser, labeling/graph/profile, and audio/chat/file insights • Integrate ML the right way: Define typed, versioned contracts and rollout gates between TypeScript (Next.js/Node) and Python model services; use feature flags, canaries, and safe rollbacks • Raise search & indexing quality: Manage OpenSearch schemas and analyzers, design reindex/backfill strategies, and run relevance experiments/A‑B tests • Build evaluation & feedback loops: Create offline/online evaluation harnesses (precision/recall, F1, WER/CER, latency/cost SLOs) and integrate human‑in‑the‑loop corrections • Operate streaming + batch enrichment: Design idempotent, backpressure‑aware pipelines (Kafka/Temporal) that support both backfills and real‑time updates • Make it observable and reliable: Instrument traces/metrics/logs end‑to‑end; own SLOs/error budgets and incident response for the Insights surfaces • Manage cost/performance: Reduce inference spend via batching, caching, quantization choices, and right‑sizing GPU/CPU resources; publish and track budgets • Partner across teams: Work with Research on model selection/release, and with Foundation/Platform on data contracts, search/index hygiene, and deployment • Keep data safe: Ensure provenance, auditability, and compliant handling of PII/classified data across SaaS and air‑gapped installs
Job Requirements
- 7+ years software engineering with TypeScript/Node.js (full‑stack with React)
- Deep Kubernetes experience operating production workloads
- Cloud experience (GCP, AWS, Azure or similar)
- Led technical teams and major architecture migrations
- Strong mentorship track record
- Shipped ML‑powered product features (search, ASR/OCR/NER/translation/summarization) and know how to evaluate them (precision/recall, F1, WER/CER, latency/cost SLOs)
- Strong with ElasticSearch/OpenSearch: schemas, analyzers, reindexing, and relevance tuning
- Built event‑driven systems and batch + streaming pipelines (e.g. Kafka, Flink) with an eye for idempotency and exactly‑once where it matters
- Experience with observability: OpenTelemetry, Prometheus, Grafana, SLOs, and error budgets
Benefits
- Modern architecture & stack (TypeScript, React, Node.js, Kafka, PostgreSQL, Kubernetes, GCP)
- Remote‑first in Germany with occasional team events in Berlin
- Home office budget and great equipment
- 30 days vacation
- Direct impact on critical missions across private and public‑sector customers
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