Algoleap Technologies Hiring Junior DevOps Engineer in Hyderabad

Algoleap Technologies, one of the fastest growing digital engineering services companies based out of Hyderabad, is hiring a Junior SRE/DevOps Engineer to support the setup and maintenance of infrastructure, CI/CD, and key projects used globally, working under the guidance of senior engineers.

As a member of a geographically distributed development team, your communication and analytical skills will be essential. This role offers hands-on exposure to cutting-edge areas including AI/ML-powered automation, LLMOps, MLOps pipelines, and intelligent observability, alongside core AWS cloud infrastructure engineering.

Key responsibilities include:

• Assist in designing and maintaining 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
• Containerize applications 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
• Assist with infrastructure cost analysis and support optimization efforts
• Support the development of self-healing and automated remediation mechanisms using AI/ML techniques
• Assist in integrating AI/LLM capabilities into DevOps workflows (e.g., log analysis, automated RCA, deployment insights)
• Support monitoring strategy enhancements using intelligent alerting, noise reduction, and pattern-based anomaly detection
• Assist in building and maintaining MLOps pipelines for model training, deployment, and continuous improvement
• Collaborate with a global team of engineers in a highly agile DevOps environment
• Support the development, implementation, and maintenance of CI/CD frameworks for hybrid environments (cloud and on-premise)

• 2-4 years of experience building and maintaining AWS infrastructure (VPC, EC2, Security Groups, IAM, ECS/EKS, CloudFront, S3, RDS, SQS, SNS, Lambda, Batch, AWS Glue)
• Working understanding of how to secure AWS environments and meet compliance requirements
• Working knowledge of deploying and managing infrastructure with Terraform
• Exposure to or working knowledge of LLMs (OpenAI, Azure OpenAI, Claude)
• Basic awareness of LLMOps concepts (prompt management, model evaluation, versioning, fine-tuning lifecycle)
• Familiarity with MLOps tools such as MLflow, SageMaker, Kubeflow, or equivalent
• Familiarity with AIOps platforms and tools for intelligent monitoring and incident management
• Working experience on Windows and Linux based environments
• Experience with Docker, GitHub, Jenkins, Azure DevOps, ELK, and deploying applications on AWS
• Good command of scripting languages like Python, Bash/Shell, and PowerShell
• Knowledge of log analytics tools like Elasticsearch and Kibana
• Basic knowledge of Cloud Migration, Disaster Recovery, and Blue-Green Deployment implementation
• Good understanding of monitoring and alerting using CloudWatch, Datadog, Prometheus, or Azure Monitor
• Very good communication skills and the ability to fit into a distributed development team
• Customer service orientation, high initiative, and strong attention to detail

Note

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