Engineering Tech Lead

Full-stack EngineerSoftware EngineerFull TimeRemoteSeniorTeam 1,001-5,000H1B SponsorCompany SiteLinkedIn

Location

Canada

Posted

4 days ago

Salary

0

Seniority

Senior

Bachelor Degree9 yrs expEnglishGoogle Cloud PlatformKafkaPythonGo

Job Description

Engineering Tech Lead

TTEC Digital

• 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.

Job Requirements

  • 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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