Tech Lead (TypeScript)

Location: Remote / Berlin

Department: Engineering

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.