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Robotics trainer ---

* Hands on experience in technical content writing.

* Embedded C, microcontrollers like ARM, PIC, AVR.  

* Communication protocols like CAN, I2C, SPI.

* Basics of Robo control mechanism.

* ADC nad DAC interfacing with sensors.

* Good Communication skills.

As a Customer Support Representative, you will be the first point of contact for customers reaching out via IVR (inbound calls), chat, and email. You will be responsible for resolving customer issues within defined SLAs, delivering a high-quality customer experience, and proactively identifying upsell or cross-sell opportunities.

This role is performance-driven, with clear KRAs and KPIs focused on resolution speed, ownership, customer satisfaction, and proactive support.

Key Responsibilities

1. Customer Issue Resolution & Productivity:

• Handle inbound calls, chats, and email tickets professionally and efficiently.
• Ensure accurate ticket creation and categorisation in the CRM for every interaction.
• Resolve customer issues within defined SLAs (majority within 4 business hours).
• Maintain high First Contact Resolution (FCR) for IVR and quick First Response Time (FRT) for chat.
• Maintain high availability and responsiveness during assigned shifts.

2. Customer Experience & Satisfaction:

• Deliver a positive, empathetic, and solution-oriented experience on every interaction.
• Maintain high CSAT scores by setting correct expectations and closing issues completely.
• Ensure customers clearly understand the resolution provided before closing tickets.

3. Ownership & Accountability:

• Take end-to-end ownership of assigned tickets until closure.
• Avoid unnecessary escalations by resolving issues at first touch wherever possible.
• Proactively follow up on pending cases and ensure closure within SLA.
• Escalate only when required, with complete context and documentation.

4. Revenue Signals, Cross-sell & Proactiveness:

• Identify and share qualified upsell, cross-sell, or referral opportunities during customer interactions.
• Highlight relevant MyOperator products or features based on customer needs.
• Share opportunities clearly with the Account Manager via CRM or defined processes.

5. Process Adherence & CRM Hygiene:

• Follow defined support processes, workflows, and communication guidelines.
• Ensure accurate and timely updates in CRM for all tickets and interactions.
• Participate in new process rollouts, tool adoption, and team initiatives.

Skills & Competencies:

Must-Have Skills:

• Strong verbal and written communication skills (English required; Hindi/regional language is a plus).
• Customer-first mindset with problem-solving ability.
• Ability to multitask across calls, chat, and tickets.
• Comfortable working with CRM tools and support dashboards.
• Willingness to work in shifts, including weekends if required.

Good-to-Have:

• Prior experience in B2B SaaS, telecom, or customer support roles.
• Experience handling chat or omnichannel support.
• Basic understanding of CRM or cloud communication platforms.

Behavioural Expectations:

• Ownership-driven: sees problems through to closure.
• Process-oriented but customer-centric.
• Comfortable working with targets, SLAs, and scorecards.
• Open to feedback, coaching, and continuous improvement.
• Team player who collaborates well with TLs and Account Managers.

Role Overview:

We are seeking a Senior Software Engineer (SSE) with strong expertise in Kafka, Python, and Azure Databricks to lead and contribute to our healthcare data engineering initiatives. This role is pivotal in building scalable, real-time data pipelines and processing large-scale healthcare datasets in a secure and compliant cloud environment.

The ideal candidate will have a solid background in real-time streaming, big data processing, and cloud platforms, along with strong leadership and stakeholder engagement capabilities.

Key Responsibilities:

• Design and develop scalable real-time data streaming solutions using Apache Kafka and Python.
• Architect and implement ETL/ELT pipelines using Azure Databricks for both structured and unstructured healthcare data.
• Optimize and maintain Kafka applications, Python scripts, and Databricks workflows to ensure performance and reliability.
• Ensure data integrity, security, and compliance with healthcare standards such as HIPAA and HITRUST.
• Collaborate with data scientists, analysts, and business stakeholders to gather requirements and translate them into robust data solutions.
• Mentor junior engineers, perform code reviews, and promote engineering best practices.
• Stay current with evolving technologies in cloud, big data, and healthcare data standards.
• Contribute to the development of CI/CD pipelines and containerized environments (Docker, Kubernetes).

Required Skills & Qualifications:

• 4+ years of hands-on experience in data engineering roles.
• Strong proficiency in Kafka (including Kafka Streams, Kafka Connect, Schema Registry).
• Proficient in Python for data processing and automation.
• Experience with Azure Databricks (or readiness to ramp up quickly).
• Solid understanding of cloud platforms, with a preference for Azure (AWS/GCP is a plus).
• Strong knowledge of SQL and NoSQL databases; data modeling for large-scale systems.
• Familiarity with containerization tools like Docker and orchestration using Kubernetes.
• Exposure to CI/CD pipelines for data applications.
• Prior experience with healthcare datasets (EHR, HL7, FHIR, claims data) is highly desirable.
• Excellent problem-solving abilities and a proactive mindset.
• Strong communication and interpersonal skills to work in cross-functional teams.