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AuxoAI

Senior DevOps Engineer

Posted 16 Days Ago
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In-Office
Bangalore, Bengaluru Urban, Karnataka
Senior level
In-Office
Bangalore, Bengaluru Urban, Karnataka
Senior level
The Senior DevOps Engineer will design and manage CI/CD pipelines, configure cloud services, and ensure infrastructure scalability and security. Responsibilities include deploying solutions on Kubernetes, automating cloud resource management, and collaborating with cross-functional teams to resolve production issues.
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Job Description

AuxoAI partners with Fortune 500-scale enterprises to design and deploy Agentic AI systems that drive measurable outcomes—from data modernization to deployed functional products. AuxoAI enables the creation of AI-first enterprises with productized solutions, AI first engineering, and forward deployed experts. 

We are looking for a strong Data Engineer to join our growing team. The ideal candidate brings solid ETL fundamentals, hands-on pipeline experience, and cloud platform proficiency — with a preference for GCP/BigQuery expertise.

We are looking for a skilled DevOps Engineer with solid experience in cloud infrastructure management, CI/CD pipelines, and deployment on Kubernetes. The ideal candidate will have a strong background in Azure cloud platforms, with proficiency in configuring, automating, and optimizing cloud deployments to ensure scalability, reliability, and security of our systems. 

Location:  Mumbai/Bengaluru/Hyderabad/ Gurgaon (Hybrid) 

Responsibilities

  • Design, implement, and manage CI/CD pipelines using Azure DevOps, GitHub, and Jenkins for automated deployments of applications and infrastructure changes. 
  • Architect and deploy solutions on Kubernetes clusters (EKS and AKS) to support containerized applications and microservices architecture. 
  • Build and manage CI CD pipelines for multi region, multi environment production applications
  • Scalable Application deployments, optimal infra configuration
  • Collaborate with development teams to streamline code deployments, releases, and continuous integration processes across multiple environments. 
  • Configure and manage Azure services including Azure Synapse Analytics, Azure Data Factory (ADF), Azure Data Lake Storage (ADLS), and other data services for efficient data processing and analytics workflows. 
  • Utilize AWS services such as Amazon EMR, Amazon Redshift, Amazon S3, Amazon Aurora, IAM policies, and Azure Monitor for data management, warehousing, and governance. 
  • Implement infrastructure as code (IaC) using tools like Terraform or CloudFormation to automate provisioning and management of cloud resources. 
  • Ensure high availability, performance monitoring, and disaster recovery strategies for cloud-based applications and services. 
  • Develop and enforce security best practices and compliance policies, including IAM policies, encryption, and access controls across Azure environments. 
  • Collaborate with cross-functional teams to troubleshoot production issues, conduct root cause analysis, and implement solutions to prevent recurrence. 
  • Stay current with industry trends, best practices, and evolving technologies in cloud computing, DevOps, and container orchestration. 

Qualifications: 

  • Bachelor’s degree in Computer Science, Engineering, or related field; or equivalent work experience. 
  • 5+ years of experience as a DevOps Engineer or similar role with hands-on expertise in AWS and Azure cloud environments. 
  • Strong proficiency in Azure DevOps, Git, GitHub, Jenkins, and CI/CD pipeline automation. 
  • Experience deploying and managing Kubernetes clusters (EKS, AKS) and container orchestration platforms with Helm & ArgoCD.  
  • Deep understanding of cloud-native architectures, microservices, and serverless computing. 
  • Familiarity with Azure Synapse, ADF, ADLS, and AWS data services (EMR, Redshift, Glue) for data integration and analytics. 
  • Solid grasp of infrastructure as code (IaC) tools like Terraform, CloudFormation, or ARM templates. 
  • Experience with monitoring tools (e.g., Prometheus, Grafana) and logging solutions for cloud-based applications. 
  • Excellent troubleshooting skills and ability to resolve complex technical issues in production environments.


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