QA Tester- Vulnerability and Security Testing

The candidate will be responsible for recruiting and managing insurance agents, activating them for business, and generating Motor & General Insurance sales through the agency channel.

This is a field-based role along with agent recruitment

Knowmax is a global B2B SaaS platform built to elevate customer experience through intelligent knowledge management. We enable customer-facing teams to access the right answers instantly—across contact centers, digital channels, and field support—driving consistency, efficiency, and satisfaction at scale.

Preferred Profile: Candidates with prior experience working on product development in a startup environment.

Core Backend Skills

• Node.js Mastery
• Deep understanding of event loop, async patterns (Promises, async/await).
• Experience with frameworks like Express, NestJS, Fastify.
• Writing scalable APIs (REST), middleware, and modular code.
• Database Expertise
• SQL/Postgres – schema design, complex joins, indexing, query optimization.
• Knowledge of transactions, isolation levels, and migrations.
• Basic familiarity with ORMs (Sequelize/TypeORM/Prisma) and raw queries.
• Architecture & Design
• Ability to design backend systems
• Good understanding of API versioning, caching strategies (Redis).

Frontend (Average Skill Expected)

• Comfortable with React (or Nuxt/Vue) for building and maintaining UIs.
• Basic understanding of state management (Redux, Vuex, Pinia).
• Familiarity with component-based architecture and UI libraries (Material UI, Tailwind).
• Can debug UI issues but not expected to be a design/UX expert.

Other Expectations

• Code Quality – Writing unit tests (Jest/Mocha), code reviews, and maintaining clean architecture.
• Problem-Solving – Strong data structures and algorithmic skills (not as intense as SD3/Architect).
• Collaboration – Able to mentor juniors, break down tasks, and work closely with product and QA.
• Performance & Security – Understands security best practices (OWASP) and performance profiling.

Key Responsibilities

• Communicating with hiring managers to identify future job openings and the technical requirements for those jobs.
• Writing job descriptions and posting to relevant media platforms. Screening applicants for competency with the job requirements.
• Arranging telephone, video, or in-person interviews.
• Performing background and reference checks.
• Presenting the resumes of the most suitable candidates to the hiring manager.
• Offering job positions and completing the relevant paperwork.
• Keeping track of all applicants as well as keeping applicants informed on the application process.
• Forecasting recruitment budgets.
• Interview candidates combining various methods (e.g., structured interviews, technical assessments and behavioural questions)
• Build a candidate CRM to ensure a solid pipeline of qualified candidates - ensuring candidate data is kept updated.

Candidate Profile:You have:

• Proven work experience in recruitment - ideally as a Technical Recruiter
• Hands-on experience with various interview formats (e.g., Teams, Zoom, Google Hangouts)
• Technical expertise with an ability to understand and explain job requirements for IT roles.
• Experience using LinkedIn Talent Solutions to source quality candidates.
• Excellent verbal and written communication skills
• Strong tenacity and ability to build a solid network.

Awesome to have:

• Any experience working in Healthcare Technology

Education and Experience:

• Degree in HR, communications, marketing, business or similar
• 2 year of HR experience in a Tech Company
• Strong experience in tech-based roles
• Good interpersonal and decision-making skills.

1.Create content properties that drive cross-platform interaction for the brand

1. Work with creative team, to create and deploy quality content, across digital communication channels
2. Ensure adherence to brand and internal guidelines for communication across digital channels
3. Execute editorial calendars and content programs for various digital platforms like blogs, websites,

microsites etc.

1. Be a part of strategy team, create and execute 360-degree brand campaigns on web and mobile
2. Track and analyze content performance, and suggest solutions
3. Conceptualize and co-create content for scalable websites

Required Candidate profile

1. 
   Eye for Grammar, Clarity, Accuracy and Creative language
2. Must have exposure to International Trends
3. Must have excellent command over Proof Reading and web content writing
4. Review & Rewriting of Content. Proof reading and writing for web based applications
5. Excellent Researching and Conceptualization Skills

• Automate and maintain ML and Data pipelines at scale
• Collaborate with Data Scientists and Data Engineers on feature development teams to containerize and build out deployment pipelines for new modules
• Maintain and expand our on-prem deployments with spark clusters
• Design, build and optimize applications containerization and orchestration with Docker and Kubernetes and AWS or Azure

• 5 years of IT experience in data-driven or AI technology products
• Understanding of ML Model Deployment and Lifecycle
• Extensive experience in Apache airflow for MLOps workflow automation
• Experience is building and automating data pipelines
• Experience in working on Spark Cluster architecture
• Extensive experience with Unix/Linux environments
• Experience with standard concepts and technologies used in CI/CD build, deployment pipelines using Jenkins
• Strong experience in Python and PySpark and building required automation (using standard technologies such as Docker, Jenkins, and Ansible).
• Experience with Kubernetes or Docker Swarm
• Working technical knowledge of current systems software, protocols, and standards, including firewalls, Active Directory, etc.
• Basic knowledge of Multi-tier architectures: load balancers, caching, web servers, application servers, and databases.
• Experience with various virtualization technologies and multi-tenant, private and hybrid cloud environments.
• Hands-on software and hardware troubleshooting experience.
• Experience documenting and maintaining configuration and process information.
• Basic Knowledge of machine learning frameworks: Tensorflow, Caffe/Caffe2, Pytorch