Customer Support Executive

Key Responsibilities:

1. Network Engineering & Team Leadership

• Architect & Maintain: Design, implement, and manage secure, scalable network architectures (LAN, WAN, VPN, and Google Workspace) supporting both corporate offices and widespread on-site clinic networks.
• Lead the Team: Mentor and manage a team of system/network engineers, setting clear milestones, managing internal ticketing escalations, and conducting performance reviews.
• Uptime & Redundancy: Ensure 99.9% uptime for critical health-tech delivery systems by monitoring network traffic, troubleshooting bottlenecks, and implementing failover mechanisms.

2. Data Privacy, Cyber Security & Compliance Safeguards:

• Privacy & Zero-Trust Infrastructure: Implement strict access control mechanisms, data encryption standards (at rest and in transit), and zero-trust network frameworks to protect sensitive personal health information (SPI/PHI).
• End-to-End Security Architecture: Oversee the deployment and maintenance of enterprise-grade Antivirus/EDR solutions, End-to-End Firewalls, and comprehensive Cybersecurity frameworks to defend against external and internal threats.
• Access Control & Governance: Define, implement, and enforce robust Access Control policies—including Least Privilege and Role-Based Access Control (RBAC)—across all corporate, clinical, and Google Workspace environments.
• Access Reviews & Audits: Establish and oversee routine, formalized Access Review processes, ensuring user permissions, administrative privileges, and third-party access are regularly audited and validated.
• Regulatory Alignment & Audit Readiness: Align IT, network policies, and access governance protocols with Indian data protection laws (DPDP Act) and global healthcare standards (HIPAA principles). Conduct routine vulnerability assessments and maintain clean compliance logs.

3. Data Data Understanding & Visualization:

• Infrastructure Analytics: Look beyond raw logs. Analyze data flow patterns, bandwidth utilization, and system performance logs to deeply understand network health.
• Executive Dashboards: Transform complex IT operational data, compliance metrics, and access audit logs into intuitive, actionable visual dashboards using tools like Tableau, Power BI, or AWS QuickSight.
• Data-Driven Decisions: Present clear data trends to the executive leadership team regarding resource utilization, forecasting future capacity needs, and justifying infrastructure spend.

Key Responsibilities

Test Architecture & Design

• Architect test frameworks and infrastructure to validate microservices and distributed systems in multi-cluster, hybrid-cloud environments.
• Design complex test scenarios simulating production-like workloads, scaling, failure injection, and recovery.
• Ensure reliability, scalability, and maintainability of test systems.

Automation & Scalability

• Drive test automation integrated with CI/CD pipelines (e.g., Jenkins, GitHub Actions).
• Leverage Kubernetes APIs, Helm, and service meshes (Istio/Linkerd) for automation coverage of health, failover, and network resilience.
• Implement Infrastructure-as-Code (IaC) practices for test infrastructure to ensure repeatability and extensibility.

Technical Expertise

• Deep knowledge of Kubernetes internals, cluster lifecycle management, Helm, service meshes, and network policies.
• Strong scripting and automation skills with Python, Pytest, and Bash.
• Hands-on with observability stacks (Prometheus, Grafana, Jaeger) and performance benchmarking tools (e.g., K6).
• Experience with cloud platforms (AWS, Azure, GCP) and containerized CI/CD.
• Solid Linux proficiency: Bash scripting, debugging, networking, PKI management, Docker/containerd, GitOps/Flux, kubectl/Helm, troubleshooting multi-cluster environments.

Required Skills & Qualifications

• 6+ years in QA, Test Automation, or related engineering roles.
• Proven experience in architecting test frameworks for distributed/cloud-native systems.
• Expertise in Kubernetes, Helm, CI/CD, and cloud platforms (AWS/Azure/GCP).
• Strong Linux fundamentals with scripting and system debugging skills.
• Excellent problem-solving, troubleshooting, and technical leadership abilities.
• 
  

Role: Senior AI Engineer

Work Location: TechGenzi Coimbatore Office (ODC for Tiramai.ai)

Employment Type: Full-time

Experience: 2–5 years (Full-stack development with AI exposure)

About the Role & Work Location.

The selected candidate will be employed by Tiramai.ai and will work exclusively on Tiramai.ai projects. The role will be based out of TechGenzi’s Coimbatore office, which functions as an Offshore Development Center (ODC) supporting Tiramai.ai’s product and engineering initiatives.

Primary Focus

As an AI Engineer at our enterprise SaaS and AI-native organization, you will play a pivotal role in building secure, scalable, and intelligent digital solutions. This role combines full-stack development expertise with applied AI skills to create next-generation platforms that empower enterprises to modernize and act smarter with AI. You will work on AI-driven features, APIs, and cloud-native applications that are production-ready, compliance-conscious, and aligned with our mission of delivering responsible AI innovation.

Key Responsibilities

• Design, develop, and maintain full-stack applications using Python (backend) and React/Angular (frontend).
• Build and integrate AI-driven modules, leveraging GenAI, ML models, and AI-native tools into enterprise-grade SaaS products.
• Develop scalable REST APIs and microservices with security, compliance, and performance in mind.
• Collaborate with architects, product managers, and cross-functional teams to translate requirements into production-ready features.
• Ensure adherence to secure coding standards, data privacy regulations, and human-in-the-loop AI principles.
• Participate in code reviews, system design discussions, and continuous integration/continuous deployment (CI/CD) practices.
• Contribute to reusable libraries, frameworks, and best practices to accelerate AI platform development.

Skills Required

• Strong proficiency in Python for backend development.
• Frontend expertise in React.js or Angular with 2+ years of experience.
• Hands-on experience in full SDLC development (design, build, test, deploy, maintain).
• Familiarity with AI/ML frameworks (e.g., TensorFlow, PyTorch) or GenAI tools (LangChain, vector DBs, OpenAI APIs).
• Knowledge of cloud-native development (AWS/Azure/GCP), Docker, Kubernetes, and CI/CD pipelines.
• Strong understanding of REST APIs, microservices, and enterprise-grade security standards.
• Ability to work collaboratively in fast-paced, cross-functional teams with strong problem-solving and analytical skills.
• Exposure to responsible AI principles (explainability, bias mitigation, compliance) is a plus.

Growth Path

• AI Engineer (24 years) focus on full-stack + AI integration, delivering production-ready features.
• Senior AI Engineer (4–6 years) lead modules, mentor juniors, and drive AI feature development at scale.
• Lead AI Engineer (6–8 years) own solution architecture for AI features, ensure security/compliance, collaborate closely with product/tech leaders.
• AI Architect / Engineering Manager (8+ years) shape AI platform strategy, guide large-scale deployments, and influence product/technology roadmap.

Job Description

We are looking for a Node.js Developer responsible for managing the interchange of data between the server and the users. Your primary focus will be the development of all server-side logic, definition and maintenance of the central database, and ensuring high performance and responsiveness to requests from the front-end. You will also be responsible for integrating the front-end elements built by your co-workers into the application. Therefore, a basic understanding of front-end technologies is necessary as well.

Responsibilities

Integration of user-facing elements developed by front-end developers with server side logic

Writing reusable, testable, and efficient code

Design and implementation of low-latency, high-availability, and performant applications

Implementation of security and data protection

Integration of data storage solutions (may include databases, key-value stores, blob stores, etc.)

Skills And Qualifications

Strong proficiency with JavaScript (or CoffeeScript depending on your technology stack)

Knowledge of Node.js and frameworks available for it (such as Express, StrongLoop, etc depending on your technology stack)

Understanding the nature of asynchronous programming and its quirks and workarounds

Good understanding of server-side templating languages (such as Jade, EJS, etc depending on your technology stack)

Good understanding of server-side CSS preprocessors (such as Stylus, Less, etc depending on your technology stack)

Basic understanding of front-end technologies, such as HTML5, and CSS3

Understanding accessibility and security compliance (Depending on the specific project)

User authentication and authorization between multiple systems, servers, and environments

Integration of multiple data sources and databases into one system

Understanding fundamental design principles behind a scalable application

• Expert in Python, with knowledge of Python web framework Django
• Familiarity with some ORM (Object Relational Mapper) libraries
• Able to integrate multiple data sources and databases into one system
• Basic understanding of front-end technologies, such as JavaScript, HTML5 and CSS3
• Familiarity with event-driven programming in Python
• Strong experience on Linux
• Solid database skills in a relational database (i. e. PostgresSQL)
• Able to create database schemas that represent and support business processes
• Strong unit test and debugging skills
• Proficient understanding of code versioning tools (git)
• Experience on RESTful APIs
• Experience deploying on AWS is desirable
• Experience on Automation Builds using Jenkins and other popular frameworks
• Strong analytical and problem-solving skills paired with the ability to develop creative and efficient solutions
• Excellent interpersonal, leadership, influence and communication skills
• Experience in designing scalable micro-services is desirable

We are looking for an experienced Inside Sales professional to join our inside sales team. This is an opportunity for you to be a key part of building a successful business:

1. Manage End-to-End Sales process (Inbound Leads to Closure)
2. Deliver quality and tailored demonstrations to prospects based on the use cases
3. Understand customer goals, plans, challenges, timeline, budget, authority
4. Meet or exceed your defined sales activity and revenue quota
5. Collaborate with cross-functional teams for timely resolution of prospect's queries
6. Strive to continuously improve your sales process and demonstrate a willingness to learn and implement best practices