Engineering Tech Lead

🕒 il y a 2 mois

🇨🇦 Canada – Télétravail

⏰ Temps Plein

🟠 Senior

🧑‍💻 Développeur Full-Stack

👻 Score fantôme 15%

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🗣️🇺🇸🇬🇧 Anglais requis

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TTEC Digital

1001 - 5000 employés

💼 Conseil

📣 Marketing

🤖 Intelligence artificielle

Consulting • Marketing • Artificial Intelligence

TTEC Digital est un leader dans la transformation de l'expérience client, combinant technologie et empathie humaine pour améliorer les interactions avec les clients. Axé sur l'intelligence artificielle, la technologie des centres de contact et la gestion des relations clients, TTEC Digital propose des solutions sur mesure pour la transformation numérique des entreprises de taille intermédiaire. Leur offre complète comprend l'analyse des données, la stratégie et le design de l'expérience client, ainsi que des services gérés qui optimisent les interactions client à travers diverses industries.

Description

• Lead developer role, three specialization tracks. We build voice, desktop, intelligence, and AI combined into a single real-time platform — event-driven, high-throughput, low-latency. • A tech lead here is a player-coach — you write the hardest code in the squad, and you lead it. • You'll build Go services on the event bus, AI/ML services and pipelines, or connector frameworks to CCaaS/CRM/telephony — most engineers here end up touching more than one. • This is a startup environment on a fast train: 1-week sprints, Friday demos, fail fast and move forward. • Services on the event bus (NATS-class) · high-throughput transactional data models and WebSocket backends • Your track's slice — AI/ML pipelines (RAG, streaming inference, eval) or connectors (CCaaS/CTI, CRM, SIP/RTP) or core platform services • Your latency budget · your committed timelines.

🎯 Exigences

• 9+ years hands-on; same language bar (HIGH++ Go, 3+ languages) and same AI, debugging, and velocity bar as the Senior Software Engineer role —** you must out-code the squad you lead.**** ** • Has led a squad and shipped a hard real-time or platform product end-to-end, on committed timelines. • Sets patterns by shipping them; owns the code-review bar and raises the engineers around you. • Owns delivery — moves blocked work, doesn't just report it. Show-me mentality: your squad demos working software every Friday. • Keeps the respect of senior engineers through technical credibility, and manages change without drama — priorities and tech will shift under you. • Event-driven systems in production (NATS / Kafka / Redpanda-class) — you think in pub/sub. Heavy WebSocket, real-time, low-latency. • Mid-tier or better hands-on AI experience in the code and product — you've built with LLM APIs, embeddings, RAG, or model serving, not just chatted with a bot. And you use AI-assisted development daily to multiply your velocity. • Strong ++ for data graph/knowledge graph background, or hands-on AI/ML model experience (training, serving, eval). • Efficiency in development — we deal in speed. You ship clean code fast, unblock yourself, and your estimates hold. • A master debugger — you read unfamiliar code, a stack trace, or a flaky partner API and see it; you know where the breakpoint goes. • GCP preferred. Voice (SIP/RTP/SIPREC), CCaaS/CTI, or desktop-adjacent experience a strong plus depending on track. • Track emphasis: • Backend/Platform: data models, event bus, plugin runtime. • AI/ML: deeper Python, production GenAI/NLU, streaming inference, eval frameworks, RAG. • Integrations: CCaaS/CTI platforms (Genesys, Amazon Connect, NICE, Five9), CRM connectors, SIP/RTP, fault-tolerant connector design. **

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