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.

- Positive 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.

📌 DevOps Engineer (Hyderabad)
🏢 AlgoLeap Technologies
📍 Hyderabad