Engineering Tech Lead

TTEC Digital

19h•Remote

About The Position

At TTEC Digital, we coach clients to ensure their employees feel valued, and fully supported, because an amazing customer experience is an employee first process. Our vision is the same, a place where employees know they can thrive. TTEC Digital seeks an Engineering Technical Lead to join our team. This role is a full-time and fully remote opportunity! The work: We’re an innovation group inside TTEC (NASDAQ: TTEC), building the next generation of AI CX tools — automated QA, conversational analytics, knowledge assist, and agentic automation — for the world’s biggest brands and the millions of customers they serve. We move like an early-stage startup, backed by the scale, distribution, and enterprise client base of a company that’s been obsessed with customer experience since 1982. This is the rare seat where getting in early actually matters at scale. TTEC is a public company at an AI inflection point. Ship the right products into thousands of live enterprise deployments and you don’t just move a metric — you move the trajectory of the company and the value of the stock. The leverage is real, and the work compounds.

Requirements

9+ years hands-on experience.
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.
Event-driven systems in production (NATS / Kafka / Redpanda-class) — think in pub/sub.
Heavy WebSocket, real-time, low-latency experience.
Mid-tier or better hands-on AI experience in the code and product — built with LLM APIs, embeddings, RAG, or model serving, not just chatted with a bot.
Use AI-assisted development daily to multiply your velocity.
Efficiency in development — ship clean code fast, unblock yourself, and your estimates hold.
A master debugger — read unfamiliar code, a stack trace, or a flaky partner API and see it; know where the breakpoint goes.

Nice To Haves

Strong ++ for data graph/knowledge graph background, or hands-on AI/ML model experience (training, serving, eval).
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.

Responsibilities

Lead developer role, three specialization tracks.
Build voice, desktop, intelligence, and AI combined into a single real-time platform — event-driven, high-throughput, low-latency.
Write the hardest code in the squad, and lead it.
Build Go services on the event bus, AI/ML services and pipelines, or connector frameworks to CCaaS/CRM/telephony.
Own services on the event bus (NATS-class), high-throughput transactional data models and WebSocket backends.
Own your track's slice — AI/ML pipelines (RAG, streaming inference, eval) or connectors (CCaaS/CTI, CRM, SIP/RTP) or core platform services.
Own your latency budget and committed timelines.
Demonstrate ideas easily: a working prototype beats a slide deck every time.
Understand requirements and stay locked on them.
Evaluate fast, adopt what earns it, and keep shipping.
Fail fast, move forward.
Be a team player who makes and hits committed timelines.
Set patterns by shipping them; own the code-review bar and raise the engineers around you.
Own delivery — move blocked work, don't just report it.
Ensure your squad demos working software every Friday.
Keep the respect of senior engineers through technical credibility, and manage change without drama — priorities and tech will shift under you.