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Hiring for Lead Auditor (QMS / ISMS) role.
Job description Below :
- Preparation Dept. Objective reports.
- Preparation of Internal Audit Schedule & Coordination /opening meeting and closing meeting.
- Follow up for Internal Audit closing of Observations.
- Preparation of Management review meeting Input & Output reports.
- Coordination Certification Audit and Surveillance (TUV-SUD) Audit for ISO 9001:2015 and ISO 27001:2013.
- Follow up for closing of Observations.
- To update QMS & ISMS Manual, Procedures, Policies, Risk Assessment Plan, SOA & Formats.
- Internal Audit of ISO - QMS & ISMS standards.
Role Overview:
We are seeking a Tech Lead (5–14 yrs experience) to design, build, and scale the technology
foundation for our Support Excellence function. This role sits at the intersection of engineering,
product, and operations ensuring that our internal teams and, eventually, our end users
experience seamless, efficient, and data-driven support.
You will lead a small but high-impact team of engineers, own the support tooling roadmap, and
implement solutions that handle ticket triage, data quality issues, automation, and integrations
with our healthcare SaaS platform.
This is a hands-on technical leadership role ideal for someone who thrives on solving
operational challenges through technology, building frameworks from scratch, and enabling
customer-facing and internal support teams to scale effectively.
Key Responsibilities
1. Build & Enhance Support Platform:
● Own the engineering roadmap for support tooling — ticketing systems, triage workflows,
knowledge bases, and automation bots.
● Design and implement scalable support frameworks, ensuring fast triage, data-driven
escalation, and high-quality resolution.
● Integrate support tooling with product backend, CMS, and analytics systems to enable
context-aware assistance.
2. Technical Leadership & Delivery:
● Lead a small team of engineers (SEs and SSEs), providing guidance on design, architecture,
and coding standards.
● Stay hands-on with coding and reviews while enabling the team to deliver high-quality,
maintainable solutions.
● Partner closely with Program Managers and Business Analysts to translate requirements
into technical execution.
3. Automation, Data & AI-Driven Support:
● Implement automation workflows (bots, routing, notifications) to reduce manual load and
optimize SLA adherence.
● Drive the adoption of AI/ML solutions for ticket classification, triage, and predictive
resolution.
● Build analytics dashboards to track support KPIs (FRT, TTR, resolution quality).
● Partner with Product Managers, Designers, and Engineers to ensure delivery fidelity.
● Restore transparency and speed between business stakeholders and tech teams.
4. Cross-functional Collaboration:
● Work with Product, QA, Customer Success, and Ops to ensure support needs are captured
early in the roadmap.
● Serve as the engineering voice in discussions on escalation flows, release readiness, and
customer-facing support enablement.
● Collaborate with content and ops teams to power self-service experiences (knowledge
bases, FAQs, in-app help).
5. Documentation & Knowledge Management:
● Maintain technical documentation for support tooling, workflows, and integrations.
● Contribute to knowledge bases (internal + external) alongside ops and content teams.
● Foster a documentation-first culture to enable faster onboarding and smoother
collaboration.
What We’re Looking For
Must-Have
● 5–7 years of experience in software engineering, with at least 2+ years in a senior/lead
role.
● Proven track record in building internal platforms, support tools, or automation systems.
● Strong technical skills: Python/Node/Java, SQL, cloud services (AWS/GCP), and integration
experience with ticketing/support platforms (e.g., Zendesk, Freshdesk, ServiceNow, Jira
Service Management).
● Experience leading small teams and owning delivery from design → build → release.
● Excellent problem-solving skills with a bias for execution in fast-paced environments.
Nice to Have
● Exposure to SaaS or healthcare platforms with multi-tenant architecture.
● Familiarity with AI/ML-driven support solutions (classification, prediction, NLP chatbots).
● Hands-on experience with support metrics and dashboards (CSAT, SLA adherence, TTR).
● Knowledge of documentation frameworks (Confluence, Notion, Git-based wikis).
We are looking for a highly skilled DevOps/Cloud Engineer with over 6 years of experience in infrastructure automation, cloud platforms, networking, and security. If you are passionate about designing scalable systems and love solving complex cloud and DevOps challenges—this opportunity is for you.
Key Responsibilities
- Design, deploy, and manage cloud-native infrastructure using Kubernetes (K8s), Helm, Terraform, and Ansible
- Automate provisioning and orchestration workflows for cloud and hybrid environments
- Manage and optimize deployments on AWS, Azure, and GCP for high availability and cost efficiency
- Troubleshoot and implement advanced network architectures including VPNs, firewalls, load balancers, and routing protocols
- Implement and enforce security best practices: IAM, encryption, compliance, and vulnerability management
- Collaborate with development and operations teams to improve CI/CD workflows and system observability
Required Skills & Qualifications
- 6+ years of experience in DevOps, Infrastructure as Code (IaC), and cloud-native systems
- Expertise in Helm, Terraform, and Kubernetes
- Strong hands-on experience with AWS and Azure
- Solid understanding of networking, firewall configurations, and security protocols
- Experience with CI/CD tools like Jenkins, GitHub Actions, or similar
- Strong problem-solving skills and a performance-first mindset
Why Join Us?
- Work on cutting-edge cloud infrastructure across diverse industries
- Be part of a collaborative, forward-thinking team
- Flexible hybrid work model – work from anywhere while staying connected
- Opportunity to take ownership and lead critical DevOps initiatives
Customer Relationship Executive :
We are looking for a results-driven fresher and (1+ years of experience) to be responsible for designing, running tests on software usability and should be able to visit the client base(delivery and support). The software tester will conduct tests, analyze the results, and report observations to the design team. You may also interact with clients in order to understand the requirements of the product.
To be successful as a software tester, you should have a working knowledge of software and test design, the capability to run through tests, and the ability to analyze the results. Ultimately, the software tester should be result-driven, have good communication skills, and have up-to-date knowledge of software programming and software test design.
Software Tester Responsibilities:
●Review software requirements and prepare test scenarios.
●Executing tests on software usability.
●Analyzing test results on database impacts, errors or bugs, and usability.
●Preparing reports on all aspects related to the software testing carried out and reporting to the design team.
●Interacting with clients to understand product requirements(including visiting the client's base whenever required).
●Participating in design reviews and providing input on requirements, product design, and potential problems.
Software Tester Requirements:
●A bachelor's degree in computer science or a related field(Preferably male candidate).
●Up-to-date knowledge of software test design and testing methodologies.
●Understanding of open source projects like ERP, CRM, HRMS, Industry 4.0, etc
●Working knowledge of test techniques and compatibility with various software programs.
●Working knowledge of programming.
●Excellent communication and critical thinking skills.
●Good organizational skills and a detail-oriented mindset.
CoinFantasy is looking for an experienced Senior AI Architect to lead both the decentralised protocol development and the design of AI-driven applications on this network. As a visionary in AI and distributed computing, you will play a central role in shaping the protocol’s technical direction, enabling efficient task distribution, and scaling AI use cases across a heterogeneous, decentralised infrastructure.
Job Responsibilities
- Architect and oversee the protocol’s development, focusing on dynamic node orchestration, layer-wise model sharding, and secure, P2P network communication.
- Drive the end-to-end creation of AI applications, ensuring they are optimised for decentralised deployment and include use cases with autonomous agent workflows.
- Architect AI systems capable of running on decentralised networks, ensuring they balance speed, scalability, and resource usage.
- Design data pipelines and governance strategies for securely handling large-scale, decentralised datasets.
- Implement and refine strategies for swarm intelligence-based task distribution and resource allocation across nodes. Identify and incorporate trends in decentralised AI, such as federated learning and swarm intelligence, relevant to various industry applications.
- Lead cross-functional teams in delivering full-precision computing and building a secure, robust decentralised network.
- Represent the organisation’s technical direction, serving as the face of the company at industry events and client meetings.
Requirements
- Bachelor’s/Master’s/Ph.D. in Computer Science, AI, or related field.
- 12+ years of experience in AI/ML, with a track record of building distributed systems and AI solutions at scale.
- Strong proficiency in Python, Golang, and machine learning frameworks (e.g., TensorFlow, PyTorch).
- Expertise in decentralised architecture, P2P networking, and heterogeneous computing environments.
- Excellent leadership skills, with experience in cross-functional team management and strategic decision-making.
- Strong communication skills, adept at presenting complex technical solutions to diverse audiences.
About Us
CoinFantasy is a Play to Invest platform that brings the world of investment to users through engaging games. With multiple categories of games, it aims to make investing fun, intuitive, and enjoyable for users. It features a sandbox environment in which users are exposed to the end-to-end investment journey without risking financial losses.
Building on this foundation, we are now developing a groundbreaking decentralised protocol that will transform the AI landscape.
Website:
Benefits
- Competitive Salary
- An opportunity to be part of the Core team in a fast-growing company
- A fulfilling, challenging and flexible work experience
- Practically unlimited professional and career growth opportunities
Role Overview:
We are seeking a highly skilled and motivated Data Scientist to join our growing team. The ideal candidate will be responsible for developing and deploying machine learning models from scratch to production level, focusing on building robust data-driven products. You will work closely with software engineers, product managers, and other stakeholders to ensure our AI-driven solutions meet the needs of our users and align with the company's strategic goals.
Key Responsibilities:
- Develop, implement, and optimize machine learning models and algorithms to support product development.
- Work on the end-to-end lifecycle of data science projects, including data collection, preprocessing, model training, evaluation, and deployment.
- Collaborate with cross-functional teams to define data requirements and product taxonomy.
- Design and build scalable data pipelines and systems to support real-time data processing and analysis.
- Ensure the accuracy and quality of data used for modeling and analytics.
- Monitor and evaluate the performance of deployed models, making necessary adjustments to maintain optimal results.
- Implement best practices for data governance, privacy, and security.
- Document processes, methodologies, and technical solutions to maintain transparency and reproducibility.
Qualifications:
- Bachelor's or Master's degree in Data Science, Computer Science, Engineering, or a related field.
- 5+ years of experience in data science, machine learning, or a related field, with a track record of developing and deploying products from scratch to production.
- Strong programming skills in Python and experience with data analysis and machine learning libraries (e.g., Pandas, NumPy, TensorFlow, PyTorch).
- Experience with cloud platforms (e.g., AWS, GCP, Azure) and containerization technologies (e.g., Docker).
- Proficiency in building and optimizing data pipelines, ETL processes, and data storage solutions.
- Hands-on experience with data visualization tools and techniques.
- Strong understanding of statistics, data analysis, and machine learning concepts.
- Excellent problem-solving skills and attention to detail.
- Ability to work collaboratively in a fast-paced, dynamic environment.
Preferred Qualifications:
- Knowledge of microservices architecture and RESTful APIs.
- Familiarity with Agile development methodologies.
- Experience in building taxonomy for data products.
- Strong communication skills and the ability to explain complex technical concepts to non-technical stakeholders.
Job Summary:
We are seeking a highly skilled Senior .NET Engineer with extensive database design experience to join our team. As a Senior .NET Engineer, you will be responsible for designing, developing, and maintaining complex software applications using the .NET framework. You will also be responsible for designing and implementing complex database solutions using the EF Core framework that support these applications.
Specific Responsibilities and Accountabilities:
- Design, develop, and maintain software applications using the .NET framework and database solutions using Entity Framework Core
- Create and maintain data models and schema designs using best practices and industry standards
- Develop and implement database security measures to protect sensitive data
- Optimize database performance and ensure data integrity
- Collaborate with cross-functional teams to define, design, and ship new features
- Write clean, efficient, and maintainable code that meets specifications
- Troubleshoot and debug software issues as needed
- Keep up-to-date with emerging trends and technologies in software development and database design
- Participate in code reviews and provide feedback to other developers
Personal Qualities, Knowledge, Experience and Skills Required:
- Bachelor's or Master's degree in Computer Science or related field
- At least 5 years of experience in software development using the .NET framework and database design and development using Entity Framework Core
- Experience with object-oriented programming (OOP) concepts, design patterns and microservice architecture.
- Experience with database design, including data modeling and schema design
- Experience with MySQL Server or other relational database management systems
- Familiarity with agile development methodologies
- Excellent problem-solving and analytical skills
- Ability to work independently and as part of a team
- Strong communication and interpersonal skills
Must have Windows desktop application development experience.
Must have WPF experience.
Must have C# .Net experience.
Strong problem-solving, trouble-shooting, and communication skills.
• S/he possesses a wide exposure to complete lifecycle of data starting from creation to consumption
• S/he has in the past built repeatable tools / data-models to solve specific business problems
• S/he should have hand-on experience of having worked on projects (either as a consultant or with in a company) that needed them to
o Provide consultation to senior client personnel o Implement and enhance data warehouses or data lakes.
o Worked with business teams or was a part of the team that implemented process re-engineering driven by data analytics/insights
• Should have deep appreciation of how data can be used in decision-making
• Should have perspective on newer ways of solving business problems. E.g. external data, innovative techniques, newer technology
• S/he must have a solution-creation mindset.
Ability to design and enhance scalable data platforms to address the business need
• Working experience on data engineering tool for one or more cloud platforms -Snowflake, AWS/Azure/GCP
• Engage with technology teams from Tredence and Clients to create last mile connectivity of the solutions
o Should have experience of working with technology teams
• Demonstrated ability in thought leadership – Articles/White Papers/Interviews
Mandatory Skills Program Management, Data Warehouse, Data Lake, Analytics, Cloud Platform






