NICE

SeniorDevOpsEngineer

Pune, India Remote Friendly
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Senior candidates.

The Brief

“Senior DevOps Engineer at NICE. Skills: AWS, Kubernetes, Terraform, CI/CD, AI in DevOps. Design, implement, and manage highly available and scalable AWS infrastructure. Build and maintain Infrastructure as Code (IaC) for consistent, repeatable provisioning”

Industry & Context.

Problems you'll solve

Actively seek out toil, eliminate it; Troubleshooting; Evaluate AI tools and assess their practical value; Evaluate an AI tool's fit for a specific CI/CD challenge

What They're Looking For.

Must Have

5-8 years of relevant DevOps or Cloud Engineering experience, Kubernetes Platform Management, expertise with AWS (EC2, ECS, EKS, S3, RDS, CloudFront, IAM, VPC, Route53), Proficiency with Terraform and AWS CloudFormation, Genuine curiosity and enthusiasm for applying AI tools and techniques to DevOps workflows, Willingness to explore AI-assisted development tools such as code assistants, automated testing aids, and prompt-based automation, Openness to learning how AI can improve build, deployment, and operational processes, Ability to quickly adopt new AI tools and incorporate them into daily work, Ability to evaluate AI tools and assess their practical value for CI/CD and infrastructure automation, Expected to prototype and integrate AI-driven solutions into existing pipelines and workflows, Contribute ideas and feedback to the team's AI adoption strategy, Stay current with emerging AI tooling relevant to DevOps and share findings with the team, Able to evaluate an AI tool's fit for a specific CI/CD challenge and articulate trade-offs

Nice to Have

EKS preferred

What You'll Do.

and manage highly available and scalable AWS infrastructure

Build and maintain Infrastructure as Code (IaC) for consistent

repeatable provisioning

and access policies across cloud environments

and enhance CI/CD pipelines using Jenkins and GitHub Actions & Workflows

and deployment processes to reduce manual effort and improve release velocity

Implement automated rollback

and environment promotion workflows

Manage EKS clusters including provision

and troubleshooting Kubernetes networking and security in AWS

Containerize applications using Docker and deploy via ECS or EKS

Configure and fine-tune observability stacks (Prometheus

OTEL) for efficient monitoring

and troubleshooting at scale

Leverage AI tools (e. g.

Claude) to assist in coding

and automating DevOps tasks

Integrate AI-driven automation tools into CI/CD pipelines and Kubernetes management

Prototype and integrate AI-driven solutions into existing pipelines and workflows

Contribute ideas and feedback to the team's AI adoption strategy

Stay current with emerging AI tooling relevant to DevOps and share findings with the team

Evaluate an AI tool's fit for a specific CI/CD challenge and articulate trade-offs

How You'll Work.

Team & Collaboration

Contribute ideas and feedback to the team's AI adoption strategy; Share findings with the team; Work in a fast-paced, collaborative, and creative environment

Communication Scope

Articulate trade-offs

Full Job Description

At NiCE, we don’t limit our challenges. We challenge our limits. Always. We’re ambitious. We’re game changers. And we play to win. We set the highest standards and execute beyond them. And if you’re like us, we can offer you the ultimate career opportunity that will light a fire within you. So, what’s the role all about? The Build and Deploy team operate with a core belief: if a process is manual and repeatable, it should be automated. We actively seek out toil, eliminate it, and continuously improve the reliability, security, and speed of our pipelines and production systems. AI is the latest and most powerful enabler of this philosophy. AI in DevOps is a rapidly evolving field. Prior AI experience is not required — what we value is a strong desire to learn, experiment, and apply AI to make our processes better. How will you make an impact? Design, implement, and manage highly available and scalable AWS infrastructure. Use Terraform or CloudFormation to build and maintain Infrastructure as Code (IaC) for consistent, repeatable provisioning. Manage configuration, networking, and access policies across cloud environments. Develop, maintain, and enhance CI/CD pipelines using Jenkins and GitHub Actions & Workflows. Automate build, testing, and deployment processes to reduce manual effort and improve release velocity. Implement automated rollback, approval gates, and environment promotion workflows. Experience with managing EKS clusters including provision, scaling, and troubleshooting Kubernetes networking and security in AWS Containerize applications using Docker and deploy via ECS or EKS. Experience with configuring and fine-tuning observability stacks (Prometheus, Grafana, OTEL) for efficient monitoring, alerting, and troubleshooting at scale. Experience with leveraging AI tools (e.g., GitHub Copilot, Claude) to assist in coding, testing, and automating DevOps tasks. Experience in integration of AI-driven automation tools into CI/CD pipelines and Kubernetes manageme

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