Auxo AI

Role Summary:

AuxoAI is seeking a skilled and experienced Data Engineer to join our dynamic team. The ideal candidate will have 2+ years of prior experience in data engineering, with a strong background in AWS (Amazon Web Services) technologies. This role offers an exciting opportunity to work on diverse projects, collaborating with cross-functional teams to design, build, and optimize data pipelines and infrastructure.

Responsibilities:

· Design, develop, and maintain scalable data pipelines and ETL processes leveraging AWS services such as S3, Glue, EMR, Lambda, and Redshift.

· Collaborate with data scientists and analysts to understand data requirements and implement solutions that support analytics and machine learning initiatives.

· Optimize data storage and retrieval mechanisms to ensure performance, reliability, and cost-effectiveness.

· Implement data governance and security best practices to ensure compliance and data integrity.

· Troubleshoot and debug data pipeline issues, providing timely resolution and proactive monitoring.

· Stay abreast of emerging technologies and industry trends, recommending innovative solutions to enhance data engineering capabilities.

Qualifications:

· Bachelor's or Master's degree in Computer Science, Engineering, or a related field.

· 2+ years of prior experience in data engineering, with a focus on designing and building data pipelines.

· Proficiency in AWS services, particularly S3, Glue, EMR, Lambda, and Redshift.

· Strong programming skills in languages such as Python, Java, or Scala.

· Experience with SQL and NoSQL databases, data warehousing concepts, and big data technologies.

· Familiarity with containerization technologies (e.g., Docker, Kubernetes) and orchestration tools (e.g., Apache Airflow) is a plus.

AuxoAI is seeking a Senior Platform Engineer (Lead) with strong AWS administration expertise to architect and manage cloud infrastructure while contributing to data engineering initiatives. The ideal candidate will have a deep understanding of cloud platforms, infrastructure as code, and data platform integrations. This role requires both technical leadership and hands-on implementation to ensure scalable, secure, and efficient infrastructure across the organization.

Key Responsibilities:

• Define, implement, and manage scalable platform architecture aligned with business and technical requirements.
• Lead AWS infrastructure design and operations including IAM, VPC, networking, security, and cost optimization.
• Design and optimize cloud-based storage, compute resources, and orchestration workflows to support data platforms.
• Collaborate with Data Engineers and DevOps teams to streamline deployment of data pipelines and infrastructure components.
• Automate infrastructure provisioning and management using Terraform, CloudFormation, or similar Infrastructure as Code (IaC) tools.
• Integrate platform capabilities with internal tools, analytics platforms, and business applications.
• Establish cloud engineering best practices including infrastructure security, reliability, and observability.
• Provide technical mentorship to engineering team members and lead knowledge-sharing initiatives.
• Monitor system performance, troubleshoot production issues, and implement solutions for reliability and scalability.
• Drive best practices in cloud engineering, security, and infrastructure as code (IaC).

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Requirements

• Bachelor's degree in Computer Science, Engineering, or a related field; or equivalent work experience.
• 6+ years of hands-on experience in platform engineering, DevOps, or cloud infrastructure roles.
• Expertise in AWS core services (IAM, EC2, S3, VPC, CloudWatch, etc.) and managing secure, scalable environments.
• Proficiency in Infrastructure as Code (IaC) using Terraform, CloudFormation, or similar tools.
• Strong understanding of data platforms, pipelines, and workflow orchestration in cloud-native environments.
• Experience integrating infrastructure with CI/CD tools and workflows (e.g., GitHub Actions, Jenkins, GitLab CI).
• Familiarity with cloud security best practices, access management, and cost optimization strategies.
• Strong problem-solving and troubleshooting skills across cloud and data systems.
• Prior experience in a leadership or mentoring role is a plus.
• Excellent communication and collaboration skills to work effectively with cross-functional teams.

Required Experience: 10-15 years

Location: Mumbai/Bangalore/Hyderabad/Gurgaon

Positions: Senior Manager

Notice: Immediate - 30days

Role Summary:

AuxoAI is seeking an experienced and proactive IT Administrator to manage IT assets, support employee onboarding/offboarding, and implement IT policies to ensure seamless operations. This role requires a strong background in IT systems administration, excellent troubleshooting skills, and hands-on expertise in managing Mac and Windows devices using Microsoft Intune. The ideal candidate will have a passion for IT, a keen interest in security, and a collaborative mindset to support cross-functional teams effectively.

Responsibilities:

Maintain and manage IT inventory, including processing equipment requests, tracking usage, and coordinating repairs or procurement.

Ensure proper documentation of IT assets and oversee lifecycle management for devices and software.

Set up and configure workstations for new hires, including Intune-based policies for Mac and Windows device management.

Manage user accounts, access permissions, and equipment returns for offboarding employees, ensuring compliance with data security policies.

Develop and enforce IT policies to maintain security and compliance with industry standards.

Troubleshoot and resolve hardware, software, network, and system issues for Windows, Mac systems.

Provide hands-on support for geographically distributed teams, utilizing remote desktop tools and software.

Install, configure, and manage workstation software, hardware, printers, and network devices.

Use Microsoft Intune to deploy and manage device configurations, policies, and updates for Mac and Windows endpoints.

Qualifications:

Strong proficiency in managing Mac and Windows devices using Microsoft Intune.

Hands-on experience with Microsoft 365, Windows 10/11, Entra ID (Azure AD), antivirus tools, and collaboration platforms.

Expertise in troubleshooting hardware, software, networking, and system issues.

Familiarity with GitHub and additional cloud environments for access and permissions management.

Knowledge of IT compliance frameworks and maintaining compliance in IT systems. 

Job Description :

As a Data & Analytics Architect, you will lead key data initiatives, including cloud transformation, data governance, and AI projects. You'll define cloud architectures, guide data science teams in model development, and ensure alignment with data architecture principles across complex solutions. Additionally, you will create and govern architectural blueprints, ensuring standards are met and promoting best practices for data integration and consumption.

Responsibilities :

- Play a key role in driving a number of data and analytics initiatives including cloud data transformation, data governance, data quality, data standards, CRM, MDM, Generative AI and data science.

- Define cloud reference architectures to promote reusable patterns and promote best practices for data integration and consumption.

- Guide the data science team in implementing data models and analytics models.

- Serve as a data science architect delivering technology and architecture services to the data science community.

- In addition, you will also guide application development teams in the data design of complex solutions, in a large data eco-system, and ensure that teams are in alignment with the data architecture principles, standards, strategies, and target states.

- Create, maintain, and govern architectural views and blueprints depicting the Business and IT landscape in its current, transitional, and future state.

- Define and maintain standards for artifacts containing architectural content within the operating model.

Requirements :

- Strong cloud data architecture knowledge (preference for Microsoft Azure)

- 8-10+ years of experience in data architecture, with proven experience in cloud data transformation, MDM, data governance, and data science capabilities.

- Design reusable data architecture and best practices to support batch/streaming ingestion, efficient batch, real-time, and near real-time integration/ETL, integrating quality rules, and structuring data for analytic consumption by end uses.

- Ability to lead software evaluations including RFP development, capabilities assessment, formal scoring models, and delivery of executive presentations supporting a final - recommendation.

- Well versed in the Data domains (Data Warehousing, Data Governance, MDM, Data Quality, Data Standards, Data Catalog, Analytics, BI, Operational Data Store, Metadata, Unstructured Data, non-traditional data and multi-media, ETL, ESB).

- Experience with cloud data technologies such as Azure data factory, Azure Data Fabric, Azure storage, Azure data lake storage, Azure data bricks, Azure AD, Azure ML etc.

- Experience with big data technologies such as Cloudera, Spark, Sqoop, Hive, HDFS, Flume, Storm, and Kafka.

We are seeking skilled Data Engineers with prior experience on Azure data engineering services and SQL server to join our team. As a Data Engineer, you will be responsible for designing and implementing robust data infrastructure, building scalable data pipelines, and ensuring efficient data integration and storage.

Experience : 2+ years

Notice : Immediate to 30days

Responsibilities :

- Design, develop, and maintain scalable data pipelines and use Azure Data Factory and Azure Stream Analytics

- Collaborate with data scientists and analysts to understand data requirements and implement solutions that support analytics and machine learning initiatives.

- Optimize data storage and retrieval mechanisms to ensure performance, reliability, and cost-effectiveness.

- Implement data governance and security best practices to ensure compliance and data integrity.

- Troubleshoot and debug data pipeline issues, providing timely resolution and proactive monitoring.

- Stay abreast of emerging technologies and industry trends, recommending innovative solutions to enhance data engineering capabilities.

Qualifications :

- Proven experience as a Data Engineer or in a similar role.

- Experience in designing and hands-on development in cloud-based (AWS/Azure) analytics solutions.

- Expert level understanding on Azure Data Factory, Azure Synapse, Azure SQL, Azure Data Lake, Azure App Service, Azure Databricks, Azure IoT, Azure HDInsight + Spark, Azure Stream Analytics

- Knowledge of Dev-Ops processes (including CI/CD) and Infrastructure as code is essential.

- Experience in SQL server and procedures.

- Thorough understanding of Azure Infrastructure offerings.

- Strong experience in common data warehouse modelling principles including Kimball, Inmon.

- Experience in additional Modern Database terminologies.

- Working knowledge of Python or Java or Scala is desirable

- Strong knowledge of data modelling, ETL processes, and database technologies

- Experience with big data processing frameworks (Hadoop, Spark) and data pipeline orchestration tools (Airflow).

- Solid understanding of data governance, data security, and data quality best practices.

- Strong analytical and problem-solving skills, with attention to detail.