Senior DevOps Engineer

TTEC Digital; Hyderabad; Remote; INR 2,500,000 - 4,000,000; Full time

Job summary

TTEC Digital seeks a Senior DevOps Engineer to join our team. This full-time, fully remote opportunity will have you standing up and running the platform's infrastructure, including CI/CD pipelines, multi-cloud deployments, and observability baselines for a real-time AI-powered platform.

You will own trunk-based CI/CD, IaC with Terraform, GKE-based Kubernetes, and high-availability monitoring. The role emphasizes Go or Python tooling, strong networking knowledge, and on-call reliability to

Qualifications

• 7+ years DevOps/platform experience.
• Deep GCP + multi-cloud experience with production workloads.
• Infrastructure-as-code with Terraform in production.
• Go or Python tooling experience.
• Strong networking knowledge (TCP/UDP, TLS, HTTP/2).
• Proficient in monitoring, logs, and tracing baselines.
• GitOps with declarative infrastructure and drift detection.

Responsibilities

• Stand up and run platform infrastructure: CI/CD, multi-cloud, observability baselines.
• Support a real-time platform with latency and uptime as product features.
• Own CI/CD workflows: trunk-based development and daily production deploys.
• Provide IaC for all components and maintain cloud-agnostic deployment templates.

Skills

DevOps experience

GCP

Multi-cloud

IaC (Terraform)

Go or Python

Networking basics

Monitoring/observability

GitOps

Kubernetes (GKE)

On-call / SRE

Tools

Terraform

Kubernetes (GKE)

Docker

CI/CD tooling

Monitoring tools (Prometheus, Grafana)

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'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.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.