Senior DevOps Engineer

Are you passionate about AI-driven automation, scalable cloud solutions, and optimizing DevOps workflows? Do you have hands-on experience with OpenShift, Kubernetes, cloud platforms (AKS, GCP), infrastructure-as-code tools, and MLOps practices? If you're looking for an opportunity to drive automation-first DevOps strategies and leverage AI for efficiency, we’d love to hear from you!

About the Role

As a Senior DevOps Engineer, you will :

Lead and Mentor : Guide a team of DevOps engineers, fostering a culture of automation, AI-driven innovation, and continuous improvement.

Infrastructure Design and Optimization : Design, implement, and optimize scalable and secure infrastructure across OpenShift, AKS, and GCP environments.

Containerization and Orchestration : Develop and manage containerized applications using Docker and orchestrate them with Kubernetes.

ElasticSearch Administration : Install, configure, and manage ElasticSearch clusters for high availability and performance.

Java Framework Deployment : Deploy and configure Java frameworks (Spring Boot, Apache Tomcat) to support reliable application development and operations.

AI-Driven Automation : Automate DevOps workflows using Python scripting, integrating AI-driven automation for improved efficiency.

CI / CD Pipeline Management : Build and maintain AI-enhanced CI / CD pipelines, ensuring seamless, high-quality, and rapid software releases using Jenkins, GitLab CI / CD, and ArgoCD.

Monitoring and Alerting : Implement AI-powered monitoring and alerting systems with Prometheus, Grafana, Datadog, and ELK Stack for proactive issue detection.

Cloud Cost Optimization : Utilize AI-driven insights to optimize cloud costs, ensuring cost efficiency without compromising performance.

Security and Compliance : Ensure compliance with security and regulatory requirements, particularly in banking and financial systems.

Hybrid Operations Management : Manage and integrate on-premise applications with cloud-based solutions for seamless hybrid operations.

Infrastructure Automation : Automate infrastructure provisioning, deployments, and scaling using Terraform, Ansible, and Helm.

Cross-Functional Collaboration : Work closely with development, QA, and operations teams to align DevOps processes with business and product goals.

What Makes This Role Unique?

AI-Driven DevOps : Leverage machine learning, predictive analytics, and AI automation tools to build self-healing, intelligent infrastructure.

Cloud Automation Innovation : Implement AI-powered optimization for cloud operations, monitoring, and cost control.

Advanced CI / CD Pipelines : Be at the forefront of automated software delivery, using AI-enhanced DevOps workflows to minimize risks and improve efficiency.

High-Impact Solutions : Work on cloud-native architectures that support high availability, security, and regulatory compliance.

Collaborative Environment : Partner with developers, QA engineers, and product teams to build a fully automated and AI-driven DevOps environment.

Growth Opportunities : Enhance your career by leading automation-first initiatives and driving AI innovation in DevOps.

What We’re Looking For

Experience : 6+ years in DevOps, Cloud Engineering, or Infrastructure Management; 3+ years managing a team of DevOps engineers.

Technical Expertise : Proficiency in OpenShift, Kubernetes, Docker, AKS, GCP, and AI-driven DevOps tools.

CI / CD and Automation : Experience with Jenkins, GitLab, ArgoCD, Terraform, Helm, Ansible, and Python scripting.

MLOps Practices : Hands-on experience implementing MLOps practices, integrating machine learning models into CI / CD pipelines, and managing their lifecycle in production environments.

Monitoring Tools : Proficiency in Prometheus, Grafana, Datadog, and ELK Stack.

Security Knowledge : Strong understanding of cloud security, compliance, and banking system regulations.

Problem-Solving Skills : Analytical mindset with the ability to optimize infrastructure using AI-driven insights.

Why Join Us?

Innovative Culture : Join an organization transforming DevOps with AI-driven automation and self-optimizing cloud infrastructure.

Automation and Innovation : Implement AI-powered cloud automation to optimize workflows and accelerate deployments.

Career Advancement : Gain exposure to the latest AI-enhanced DevOps tools and scalable cloud solutions.

Complex Problem Solving : Work on self-healing infrastructure and AI-powered monitoring to improve reliability and efficiency.

Collaborative Team : Join a group of DevOps experts, AI specialists, and cloud engineers pushing the boundaries of automation.

Ready to take the next step in an AI-first DevOps team? Apply now or reach out—we’d love to connect!

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