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·        Monitoring the entire customer service process.(US Process)

·        Resolving customer issues brought to your attention.

·        Creating procedures and policies for effective customer service.

·        Planning how to train customer support professionals.

·        Standardizing the customer service delivery of an organization

·        Tracking the work of every customer service representative in the team.

·        Performing quality assurance surveys with customers.

·        Conveying customers’ feedback to the team.

·        Fixing appointments according to the convenience of clients and customers.

·        Interacting with customers to determine whether they have a desirable and shareable experience.

·        Helping every customer service professional improve.

·        Possessing the knowledge and ability to improve customer service of the organization.

·        Creating a pleasant work environment for customer service professionals.

Customer Service Executive Requirements

·        A minimum of 0 to 1.5 year of experience as a customer service representative.

·        Superior written and oral communication skills.

·        Leadership skills to guide and improve a team.

·        Data entry and basic computer skills.

·        Knowledge about customer relationship management systems.

·        Knowledge about the best mediation and conflict resolution tactics.

·        Ability to empathize with customers.

·        Utmost patience while dealing with angry and agitated customers.

·        Ability to respect every customer.

·        Fast and efficient problem-solving skills.

·        English should be fluent

Job Description

Experience: 5 - 9 years

Location: Bangalore/Pune/Hyderabad

Work Mode: Hybrid(3 Days WFO)

Senior Cloud Infrastructure Engineer for Data Platform 

The ideal candidate will play a critical role in designing, implementing, and maintaining cloud infrastructure and CI/CD pipelines to support scalable, secure, and efficient data and analytics solutions. This role requires a strong understanding of cloud-native technologies, DevOps best practices, and hands-on experience with Azure and Databricks.

Key Responsibilities:

Cloud Infrastructure Design & Management

Architect, deploy, and manage scalable and secure cloud infrastructure on Microsoft Azure.

Implement best practices for Azure Resource Management, including resource groups, virtual networks, and storage accounts.

Optimize cloud costs and ensure high availability and disaster recovery for critical systems

Databricks Platform Management

Set up, configure, and maintain Databricks workspaces for data engineering, machine learning, and analytics workloads.

Automate cluster management, job scheduling, and monitoring within Databricks.

Collaborate with data teams to optimize Databricks performance and ensure seamless integration with Azure services.

CI/CD Pipeline Development

Design and implement CI/CD pipelines for deploying infrastructure, applications, and data workflows using tools like Azure DevOps, GitHub Actions, or similar.

Automate testing, deployment, and monitoring processes to ensure rapid and reliable delivery of updates.

Monitoring & Incident Management

Implement monitoring and alerting solutions using tools like Dynatrace, Azure Monitor, Log Analytics, and Databricks metrics.

Troubleshoot and resolve infrastructure and application issues, ensuring minimal downtime.

Security & Compliance

Enforce security best practices, including identity and access management (IAM), encryption, and network security.

Ensure compliance with organizational and regulatory standards for data protection and cloud operations.

Collaboration & Documentation

Work closely with cross-functional teams, including data engineers, software developers, and business stakeholders, to align infrastructure with business needs.

Maintain comprehensive documentation for infrastructure, processes, and configurations.

Required Qualifications

Education: Bachelor’s degree in Computer Science, Engineering, or a related field.

Must Have Experience:

6+ years of experience in DevOps or Cloud Engineering roles.

Proven expertise in Microsoft Azure services, including Azure Data Lake, Azure Databricks, Azure Data Factory (ADF), Azure Functions, Azure Kubernetes Service (AKS), and Azure Active Directory.

Hands-on experience with Databricks for data engineering and analytics.

Technical Skills:

Proficiency in Infrastructure as Code (IaC) tools like Terraform, ARM templates, or Bicep.

Strong scripting skills in Python, or Bash.

Experience with containerization and orchestration tools like Docker and Kubernetes.

Familiarity with version control systems (e.g., Git) and CI/CD tools (e.g., Azure DevOps, GitHub Actions).

Soft Skills:

Strong problem-solving and analytical skills.

Excellent communication and collaboration abilities.

🚀 Hiring: Azure DevOps Engineer – Immediate Joiners Only! 🚀

📍 Location: Pune (Hybrid)

💼 Experience: 5+ Years

🕒 Mode of Work: Hybrid

Are you a proactive and skilled Azure DevOps Engineer looking for your next challenge? We are hiring immediate joiners to join our dynamic team! If you are passionate about CI/CD, cloud automation, and SRE best practices, we want to hear from you.

🔹 Key Skills Required:

✅ Cloud Expertise: Proficiency in any cloud (Azure preferred)

✅ CI/CD Pipelines: Hands-on experience in designing and managing pipelines

✅ Containers & IaC: Strong knowledge of Docker, Terraform, Kubernetes

✅ Incident Management: Quick issue resolution and RCA

✅ SRE & Observability: Experience with SLI/SLO/SLA, monitoring, tracing, logging

✅ Programming: Proficiency in Python, Golang

✅ Performance Optimization: Identifying and resolving system bottlenecks

• Recommend a migration and consolidation strategy for DevOps tools
• Design and implement an Agile work management approach
• Make a quality strategy
• Design a secure development process
• Create a tool integration strategy

• Essentail Skills:
• Docker
• Jenkins
• Python dependency management using conda and pip

• Base Linux System Commands, Scripting
• Docker Container Build & Testing
• Common knowledge of minimizing container size and layers
• Inspecting containers for un-used / underutilized systems
• Multiple Linux OS support for virtual system

• Has experience as a user of jupyter / jupyter lab to test and fix usability issues in workbenches
• Templating out various configurations for different use cases (we use Python Jinja2 but are open to other languages / libraries)
• Jenkins PIpeline
• Github API Understanding to trigger builds, tags, releases
• Artifactory Experience
• Nice to have: Kubernetes, ArgoCD, other deployment automation tool sets (DevOps)