Senior DevOps Engineer

TTEC Digital seeks a Senior DevOps Engineer 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. 

Who we hire — the DNA: 

• Self-starters and do-ers with grit — hackers in the best sense, with a startup mentality and a show-me bias: working software over slides, prototypes over proposals. 
• Want to learn, love new technology. This platform is built on the latest technology, and that technology changes and advances monthly. You adapt to change quickly — new tools, new models, new priorities — without drama. 
• Master debuggers and problem solvers. You love solving complex problems, you think outside the box, and you multitask across domains without losing the thread. 
• AI-native. You work with AI on all levels — you understand the technology around you (LLMs, SLMs, RAG, knowledge graphs, agents, training, eval) and you use AI tools daily to exponentially increase your velocity. 
• Distributed-systems literate. High-efficiency, event-driven, low-latency systems are our world; you understand what that demands. 
• Innovators who ship. You demonstrate ideas easily, fail fast, and move forward. You make committed timelines and hit them. 
• You consider yourself exceptional — and you like winning. So do we. 
• No one will have everything in this description. We're looking for well-rounded, smart people who move fast.

What You Will Do:

The role:

• Stand up and run the platform's infrastructure — CI/CD, multi-cloud, observability baselines, the daily-deploy pipeline.
• Two DevOps shared across the org, supporting a real-time platform (voice, desktop, intelligence, AI) where latency and uptime are product features.
• Startup environment: 1-week sprints, weekly deploys to production, fail fast, move forward. 

What you'll own:

• CI/CD (trunk-based, daily prod deploys, PR-to-staging)
• Infrastructure-as-code for everything — no hand-built anything
• GCP primary, cloud-agnostic deployment templates for multi-cloud
• Observability and monitoring baselines
• Uptime as a personal mission
• On-call rotation with the SRE
• Your committed timelines. 

Who you are:

• A ways-to-YES engineer — when a squad needs something, your default is "here's how we do it safely," never a block.
• Self-starter, grit, show-me mentality: your infra demos too.
• You love new technology, adapt fast, use AI tools daily to multiply velocity, and consider yourself exceptional.
• Team player who likes winning.

What You Will Bring:

• 7+ years DevOps / platform; deep GCP plus real multi-cloud experience — you've deployed and run production workloads on at least two clouds and built abstractions that keep us portable. 
• Strong INFRA-AS-CODE mentality — Terraform-class IaC is how everything exists; if it isn't in code, it isn't real. Reviewable, repeatable, destroyable, rebuildable. 
• Has run infra for a daily-deploy, trunk-based shop; CI/CD for high-cadence teams is muscle memory. 
• Codes — Go or Python tooling, not just YAML. 
• Good networking understanding — protocols and how they actually work: TCP/UDP, TLS, HTTP/2, WebSocket, DNS, load balancing, and ideally RTP/SIP for our media paths. You debug at the packet level when you have to. 
• Strong mindset on monitoring and uptime — metrics, logs, traces, alerting baselines from day one; you notice before the customer does. 
• GitOps discipline — desired state in git, drift detection, PR-driven infra change. 
• Deploy safety engineering — canary/progressive rollout, feature-flag integration, instant rollback; weekly deploys stay boring. 
• Kubernetes/container depth (GKE-class) — scheduling, autoscaling, resource tuning for latency-sensitive services. 
• Secrets and least-privilege IAM as defaults; SOC 2-ready posture without slowing the train. 
• Cost awareness — you catch the runaway bill in the dashboard, not the invoice; efficiency is part of the job. 
• Ephemeral environments — spin up a full stack per PR/demo, tear it down after. 
• A debugger of infrastructure — reads the deploy log, the metric spike, the routing table, and sees it.