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.