Junior SRE/DevOps Engineer

Algoleap Technologies; Hyderabad; On-site; INR 600,000 - 1,200,000; Full time

Job summary

Algoleap Technologies Pvt Ltd seeks a Junior SRE/DevOps Engineer to support infra, CI/CD, and global projects under senior guidance. You will join a distributed team, collaborating with software engineers to secure, automate, and optimize cloud deployments on AWS/Azure, using Terraform, Docker, and Kubernetes, with a focus on reliability and automation.

Responsibilities include designing scalable cloud infra, deploying IaC, implementing self-healing and monitoring, and aiding cost optimization

Qualifications

• Experience in building and maintaining AWS infrastructure (VPC, EC2, IAM, ECS/EKS, S3).
• Knowledge of Terraform for IaC and cloud security/compliance.
• Familiarity with Docker, Kubernetes, CI/CD tools and monitoring suites.
• Exposure to or interest in LLMs and MLOps concepts and tools.

Responsibilities

• Assist in designing and maintaining secure, scalable AWS/Azure infra.
• Collaborate with engineering to define deployment requirements.
• Provision and manage AWS infra defined as code; monitor and optimize.
• Containerization using Docker and Kubernetes; manage CI/CD pipelines.
• Build tools for deployment, monitoring, and log analysis; cost optimization.
• Support AI/LLM integrations into DevOps workflows and self-healing mechanisms.

Skills

AWS

Terraform

CI/CD

Docker

Kubernetes

Python

Linux

Windows

Azure DevOps

Jenkins

ELK

CloudWatch

Datadog

MLOps

LLMs

GitHub

Tools

Docker

Kubernetes

GitHub

Jenkins

Azure DevOps

ELK

Terraform

Datadog

Prometheus

ElasticSearch

Kibana

CloudWatch

Job description

Algoleap Technologies Pvt Ltd | Full time

As a Junior SRE/DevOps Engineer, you will support the setup and maintenance of Infra, CI/CD and help sustain different key projects used throughout globally, working under the guidance of senior engineers.

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

Key Responsibilities:

• 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.
• 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
• 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 by leveraging intelligent alerting, noise reduction, and pattern-based anomaly detection across logs, metrics, and traces.
• 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, focused on efficient operation of daily activities, developer productivity and continuous improvement of the framework.
• Support the development, implementation, and maintenance of CI/CD frameworks, and contribute to tools development for hybrid environments (Cloud, On premise) with a vision 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:

• 2-4 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)
• 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 etc.)
• 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/tools for intelligent monitoring and incident management.
• Ability to apply AI techniques to improve deployment speed, reliability, and monitoring effectiveness.
• Working experience 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.
• Basic 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.