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DevOps Lead

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Onsite

DevOps Lead

Tavant

DevOps Lead

Skills

PythonDevOpsTesting & QAAIAWSCircleCIKubernetes

6 days ago

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Important information


Contract type:

Permanent

Location:

Bengaluru, Karnataka, India

Work mode:

Onsite

Published on:

15 October 2026

What they need


Job highlights

  • Experience in the US Real Estate domain,including real estate platforms,property management,MLS,property listings,mortgage,title,valuation,or related systems. . Disclaimer: This job posting has been aggregated from external source
  • Experience troubleshooting Kubernetes workloads and deployments.
  • Experience with AI coding assistants and developer productivity tools .

We are looking for a DevOps Engineer to build, automate, and operate scalable, reliable, and secure cloud infrastructure and deployment platforms.

The ideal candidate will have strong hands-on experience with AWS, Kubernetes, CircleCI, Argo CD, and New Relic, along with a solid understanding of CI/CD, GitOps, cloud infrastructure, observability, and production operations.

We also value engineers who actively leverage AI-assisted development tools and practices to improve automation, troubleshooting, code quality, and overall engineering productivity.

  • Has strong hands-on DevOps experience rather than only theoretical knowledge.

  • Can independently troubleshoot and resolve production issues.

  • Understands both cloud infrastructure and application deployment.

  • Is comfortable working with Kubernetes and GitOps.

  • Automates wherever possible instead of relying on manual processes.

  • Can use Python/Bash to build practical DevOps automation.

  • Proactively adopts AI-assisted development to improve engineering productivity and quality.

  • Understands security, reliability, monitoring, and operational excellence.

  • Collaborates effectively with application development and engineering teams.

  • Exposure to the US Real Estate domain is an advantage, but is not mandatory.

  • Design, build, and maintain reliable CI/CD pipelines using CircleCI.

  • Manage Kubernetes-based application deployments using Argo CD and GitOps practices.

  • Deploy, configure, and operate production workloads on AWS and Kubernetes.

  • Automate infrastructure, deployment, monitoring, and operational processes.

  • Implement and maintain observability using New Relic, including monitoring, dashboards, alerts, and performance analysis.

  • Troubleshoot application, infrastructure, Kubernetes, networking, and deployment issues in production environments.

  • Improve system reliability, scalability, availability, security, and deployment efficiency.

  • Implement automation and self-service capabilities to reduce manual operational work.

  • Collaborate closely with developers, QA, security, and platform teams to improve the software delivery lifecycle.

  • Participate in incident management, root-cause analysis, and continuous improvement initiatives.

  • Develop and maintain scripts and automation using Python and/or Bash.

  • Use AI-assisted development tools to accelerate scripting, automation, troubleshooting, testing, documentation, and code reviews.

  • Evaluate and adopt modern DevOps and AI-powered engineering practices where they provide measurable productivity or reliability improvements.

  • Maintain clear documentation for infrastructure, deployment processes, operational procedures, and troubleshooting.

  • Should have strong understanding of cloud networking, security, availability, and scalability concepts.

  • Strong understanding of Pods, Deployments, Services, ConfigMaps, Secrets, Ingress, Namespaces, and RBAC.

  • Experience troubleshooting Kubernetes workloads and deployments.

  • Practical experience using AI-assisted development tools to improve engineering productivity.

  • Strong understanding of the need for code review, security validation, testing, and human oversight when using AI-generated code.

  • Ability to automate repetitive operational and infrastructure tasks.

  • Knowledge of DevSecOps practices.

  • Advanced Kubernetes administration and troubleshooting experience.

  • Experience with AI coding assistants and developer productivity tools.

  • Experience in the US Real Estate domain, including real estate platforms, property management, MLS, property listings, mortgage, title, valuation, or related systems.

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.

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