DevOps Engineer

Overview Of Position

As a SRE/DevOps Engineer, you will play a key role in setting up the Infra, CI/CD and supporting different key project used throughout globally.

As a member of our geographically distributed development team your communication and analytical skills are essential to the role.

Key Responsibilities

· Design cloud infrastructure that is secure, scalable, and highly available on AWS/Azure

· Work collaboratively with software engineering to define infrastructure and deployment requirements

· Provision, configure and maintain AWS cloud infrastructure defined as code.

· Containerization using Docker and Kubernetes

· Troubleshoot problems across a wide array of services and functional areas

· Build and maintain operational tools for deployment, monitoring, and analysis of AWS infrastructure and systems

· Perform infrastructure cost analysis and optimization.

· Develop self-healing and automated remediation mechanisms using AI/ML techniques

· Integrate AI/LLM capabilities into DevOps workflows (e.g., log analysis, automated RCA, deployment insights)

· Enhance monitoring strategy by leveraging intelligent alerting, noise reduction, and pattern-based anomaly detection across logs, metrics, and traces.

· Build and manage MLOps pipelines for model training, deployment, and continuous improvement.

· Collaborate with a global team of engineers in a highly agile DevOps environment, focused on efficient operation of daily activities, developer productivity and continuous improvement of the framework.

· Responsible for the development, implementation, and maintenance of CI/CD frameworks, and tools development to support hybrid environment (Cloud, On premise) with a vison to achieve CI/CD objectives for large-scale integration of systems in order to reduce manual build and deploy efforts.

· Work with geographically dispersed teams including multi-vendor into Scrum teams to meet CI/CD

Required Knowledge & Skills

· At least 6-8 years of experience building and maintaining AWS infrastructure (VPC, EC2, Security Groups, IAM, ECS/EKS, CloudFront, S3, RDS, SQS, SNS, Lambda Function, Batch jobs, AWS Glue)

· Strong understanding of how to secure AWS environments and meet compliance requirements

· Hands-on experience deploying and managing infrastructure with Terraform Enterprise.

· Hands-on experience or working knowledge of LLMs (OpenAI, Azure OpenAI, Claude etc.)

· Understanding of LLMOps concepts (prompt management, model evaluation, versioning, fine-tuning lifecycle)

· Experience with MLOps tools such as MLflow, SageMaker, Kubeflow or equivalent.

· Familiarity with AIOps platforms/tools for intelligent monitoring and incident management.

· Ability to apply AI techniques to improve deployment speed, reliability, and monitoring effectiveness.

· Strong experience working on windows & Linux based environments.

· Experience with Docker, GitHub, Jenkins, Azure DevOps, ELK and deploying applications on AWS.

· Good command on scripting languages like Python, Bash/Shell, Powershell etc

· Knowledge in log analytics tools like Elastic search and Kibana.

· Knowledge of Cloud Migration/Disaster Recovery/Blue Green Deployment implementation.

· Good understanding about monitoring the services and alerting using Cloudwatch, Datadog, Prometheus or Azure monitor.

· Good to hire a candidate with certification

Personal Attributes

· Very good communication skills.

· Ability to easily fit into a distributed development team.

· Customer service oriented.

· Enthusiastic/High initiative.

· Ability to manage timelines of multiple initiatives.

· Very good attention to detail and the ability to always follow up.