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Tech Lead (TypeScript) at Orcrist Technologies. . Location: Remote / Berlin. Tech Lead (TypeScript). . Company. . Orcrist is building a next generation data intelligence platform using cutting-edge technologies. We're handling petabyte-scale data with sub-second queries. Our product (OIP) is a Kubernetes‑based platform delivered as B2B SaaS or as a self‑hosted/on‑prem solution, including air‑gapped deployments.. . Role. . Lead the team that builds ML‑powered enrichment and search/insight features across our software platform. Think entities and relationships, records browsing, labeling/graphs/profiles, and audio/chat/files (transcription, translation, OCR/NER, summarization, geocoding). You’ll stay hands‑on (ca. 50%), unify batch + streaming pipelines, define typed contracts between our TypeScript services and Python model services, and run inference with clear SLOs and cost controls across SaaS and on‑prem/air‑gapped environments.. . What you'll do. . . 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.. . . About You. . . 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.. . . Nice‑to‑haves. . . Experience in B2B SaaS or government/defense contexts.. . Worked with on‑prem/air‑gapped deployments.. . Open‑source contributions, speaking/writing on technical topics.. . Python coding skills.. . . What We Offer. . . 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..