DevOps Engineer

algoleap; Hyderabad; On-site; INR 1,800,000 - 2,400,000; Full time

Job summary

algoleap seeks a seasoned SRE/DevOps Engineer to build and maintain secure, scalable cloud infrastructure and CI/CD pipelines across global projects. You will design IaC, containerize workloads, and implement AI-driven remediation and monitoring in a fast-moving, distributed team.

You will collaborate with software teams to define infra needs, optimize costs, and deploy ML-enabled pipelines in hybrid environments, using AWS, Terraform, Docker, Kubernetes, and monitoring tools.

Qualifications

• Hands-on experience designing and managing AWS infrastructure (VPC, EC2, S3, RDS, IAM, etc.).
• Strong knowledge of securing AWS environments and compliance.
• Experience with Terraform Enterprise for IaC.
• Familiarity with LLMs and prompt management in production.
• Experience with MLOps tools (MLflow, SageMaker, Kubeflow).
• Familiarity with AIOps for intelligent monitoring and incident management.
• Ability to apply AI techniques to speed up deployments and monitoring.
• Experience with CI/CD tooling and pipelines.
• Hands-on Docker and Kubernetes experience.
• Scripting in Python, Bash, or PowerShell.
• Proficient in Linux and Windows environments.
• Experience with log analytics and visualization (Elasticsearch, Kibana).
• Knowledge of cloud migration, DR, and blue-green deployments.
• Monitoring using CloudWatch, Datadog, Prometheus, or Azure Monitor.
• Certifications are a plus.

Responsibilities

• Design secure, scalable, highly available cloud infrastructure on AWS/Azure.
• Collaborate with software teams to define infra and deployment requirements.
• Provision and maintain AWS infrastructure defined as code.
• Containerize with Docker and Kubernetes.
• Troubleshoot across services and domains.
• Develop tools for deployment, monitoring, and analysis of AWS infra.
• Perform cost analysis and optimization.
• Develop self-healing and automated remediation with AI/ML.
• Integrate AI/LLM capabilities into DevOps workflows.
• Enhance monitoring with intelligent alerting and anomaly detection.
• Build and manage MLOps pipelines for training and deployment.
• Work with global teams in an agile DevOps environment.
• Develop and maintain CI/CD frameworks for hybrid environments.
• Coordinate with multi-vendor Scrum teams to meet CI/CD goals.

Skills

AWS infra design

Security/compliance

Terraform Enterprise

LLMs knowledge

MLOps tools

AIOps monitoring

AI/ML deployment

CI/CD

Docker & Kubernetes

Python/Bash/PowerShell

Linux/Windows

Logging/monitoring tools

Cloud cost optimization

Tools

Terraform Enterprise

MLflow

SageMaker

Kubeflow

Docker

Kubernetes

Elasticsearch

Kibana

Jenkins

GitHub

Azure DevOps

Datadog

Prometheus

CloudWatch

Job description

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.

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.