Senior DevOps Engineer

TTEC Digital; United States; Remote; USD 130,000 - 180,000; Full time

Job summary

TTEC Digital seeks a Senior DevOps Engineer to join our team. This is a full-time, fully remote opportunity.

You will stand up and run the platform’s infrastructure—CI/CD, multi-cloud, observability baselines, and the daily deploy pipeline—while owning canary releases, trunk-based deployments, and SRE practices in a fast-moving, AI-enabled environment.

Qualifications

• 7+ years DevOps experience with deep GCP and multi-cloud.
• Infrastructure-as-code mindset using Terraform.
• Experience running infra for daily deployments in trunk-based CI/CD.

Responsibilities

• 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.

Skills

Go/Python tooling

CI/CD mastery

GitOps discipline

Networking basics

Monitoring & observability

SRE mindset

Team collaboration

Tools

GCP

Terraform

Kubernetes (GKE)

CI/CD tooling

Networking tools

Job description

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 a Senior DevOps Engineer to join our team. This role is a full-time and fully remote opportunity!

The work:

We’rean 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 companythat’sbeen obsessed with customer experience since 1982.

This is the rare seatwheregetting in early actually matters at scale. TTEC is a public company at an AI inflection point. Ship the right products into thousands of live enterprisedeploymentsand youdon’tjust 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-erswith grit — hackers in the best sense, with a startup mentality and a show-me bias: working software over slides, prototypes over proposals.

• Wanttolearn,lovenew 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, youthink 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-systemsliterate. High-efficiency, event-driven, low-latency systems are our world; you understand what that demands.

• Innovators who ship. Youdemonstrateideas easily, fail fast, and move forward. You make committed timelines and hit them.

• You consider yourself exceptional — and you like winning. So dowe.

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’vedeployed and run production workloads on at least two clouds and built abstractions that keep us portable.

• Strong INFRA-AS-CODE mentality — Terraform-classIaCis how everything exists; if itisn’tin code, itisn’treal. 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 theyactually 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 youhave to.

• Strong mindset on monitoring and uptime — metrics, logs, traces, alerting baselines from day one; you notice before the customer does.

• GitOpsdiscipline — desired state in git, drift detection, PR-driven infra change.

• Deploy safety engineering — canary/progressive rollout, feature-flag integration, instant rollback; weeklydeploysstay 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.