Job Description for QA Engineer:
- 6-10 years of experience in ETL Testing, Snowflake, DWH Concepts.
- Strong SQL knowledge & debugging skills are a must.
- Experience on Azure and Snowflake Testing is plus
- Experience with Qlik Replicate and Compose tools (Change Data Capture) tools is considered a plus
- Strong Data warehousing Concepts, ETL tools like Talend Cloud Data Integration, Pentaho/Kettle tool
- Experience in JIRA, Xray defect management toolis good to have.
- Exposure to the financial domain knowledge is considered a plus
- Testing the data-readiness (data quality) address code or data issues
- Demonstrated ability to rationalize problems and use judgment and innovation to define clear and concise solutions
- Demonstrate strong collaborative experience across regions (APAC, EMEA and NA) to effectively and efficiently identify root cause of code/data issues and come up with a permanent solution
- Prior experience with State Street and Charles River Development (CRD) considered a plus
- Experience in tools such as PowerPoint, Excel, SQL
- Exposure to Third party data providers such as Bloomberg, Reuters, MSCI and other Rating agencies is a plus
Key Attributes include:
- Team player with professional and positive approach
- Creative, innovative and able to think outside of the box
- Strong attention to detail during root cause analysis and defect issue resolution
- Self-motivated & self-sufficient
- Effective communicator both written and verbal
- Brings a high level of energy with enthusiasm to generate excitement and motivate the team
- Able to work under pressure with tight deadlines and/or multiple projects
- Experience in negotiation and conflict resolution
Shubham Vishwakarma
Full Stack Developer - Averlon
About Wissen Technology
About
The Wissen Group was founded in the year 2000. Wissen Technology, a part of Wissen Group, was established in the year 2015. Wissen Technology is a specialized technology company that delivers high-end consulting for organizations in the Banking & Finance, Telecom, and Healthcare domains.
With offices in US, India, UK, Australia, Mexico, and Canada, we offer an array of services including Application Development, Artificial Intelligence & Machine Learning, Big Data & Analytics, Visualization & Business Intelligence, Robotic Process Automation, Cloud, Mobility, Agile & DevOps, Quality Assurance & Test Automation.
Leveraging our multi-site operations in the USA and India and availability of world-class infrastructure, we offer a combination of on-site, off-site and offshore service models. Our technical competencies, proactive management approach, proven methodologies, committed support and the ability to quickly react to urgent needs make us a valued partner for any kind of Digital Enablement Services, Managed Services, or Business Services.
We believe that the technology and thought leadership that we command in the industry is the direct result of the kind of people we have been able to attract, to form this organization (you are one of them!).
Our workforce consists of 1000+ highly skilled professionals, with leadership and senior management executives who have graduated from Ivy League Universities like MIT, Wharton, IITs, IIMs, and BITS and with rich work experience in some of the biggest companies in the world.
Wissen Technology has been certified as a Great Place to Work®. The technology and thought leadership that the company commands in the industry is the direct result of the kind of people Wissen has been able to attract. Wissen is committed to providing them the best possible opportunities and careers, which extends to providing the best possible experience and value to our clients.
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Key Responsibilities
1. Platform & Application Architecture
- Architect and oversee end-to-end platform design using GCP services (Vertex AI, Cloud Run, GKE, Pub/Sub, Firestore, BigQuery, and IAM).
- Define the architecture for multi-tenant SaaS deployment—ensuring secure data boundaries across customers while maintaining a single codebase.
- Collaborate closely with backend developers to optimize Node.js APIs, data pipelines, and event-driven microservices.
- Design front-end integration flows and ensure UI/UX alignment with backend AI and agentic processes.
2. AI / LLM / Agentic System Architecture
- Lead architecture for all AI initiatives involving RAG pipelines, AI agents, NLP, and conversational AI.
- Evaluate and integrate LLMs and APIs from OpenAI, Google Gemini, Anthropic (Claude), Mistral, and others.
- Define frameworks for AI agent orchestration, prompt engineering, and function/tool calling workflows using frameworks like LangChain or LlamaIndex.
- Establish standards for vector databases (Pinecone, FAISS, Chroma), embeddings, chunking strategies, and retrieval optimization.
- Architect an AgentOps layer for monitoring, safety filtering, and AI model governance.
3. MLOps, PromptOps & DevOps Integration
- Implement CI/CD pipelines for AI models, prompts, and agents using Cloud Build, Terraform, and GitHub Actions.
- Design PromptOps and MLOps pipelines to manage model lifecycle, versioning, rollback, and production promotion.
- Define observability and monitoring mechanisms (OpenTelemetry, Cloud Monitoring, custom logs for LLM outputs).
- Collaborate with DevOps engineers to define blue/green and canary deployments across environments.
4. Security, Compliance & Scalability
- Design tenant-isolated data layers using IAM, VPC-SC, and KMS encryption policies to meet regulatory standards (HIPAA, GxP, GDPR).
- Implement data governance, access control, and threat detection mechanisms for AI-driven workflows.
- Create performance optimization strategies: GPU/TPU allocation, autoscaling policies, token budgets, response caching, and FinOps visibility.
5. Cross-Functional Leadership
- Partner with Product Managers and Business Analysts to translate business requirements into architectural blueprints.
- Work with UX/UI designers to ensure front-end experiences align with AI agent capabilities and backend APIs.
- Provide architectural guidance and technical mentorship to developers, ensuring adherence to best practices across projects.
- Contribute to platform evolution, reference architecture libraries, and reusable design patterns.
Key Skills & Qualifications
Technical Expertise
- Strong background in cloud architecture, specifically Google Cloud Platform (GCP)—Vertex AI, Cloud Run, Cloud Storage, IAM, Pub/Sub, BigQuery, VPC, and Cloud Functions.
- Proficiency with Node.js, TypeScript, and API development for scalable microservices.
- Deep understanding of LLMs, AI agent frameworks, retrieval-augmented generation (RAG), and vector search.
- Experience with LangChain, LlamaIndex, CrewAI, and Agentic AI design patterns.
- Strong understanding of data architecture, including NoSQL/SQL databases (MongoDB, Firestore, PostgreSQL).
- Hands-on experience with container orchestration (Docker, Kubernetes) and Infrastructure-as-Code (Terraform).
Preferred Skills
- Prior experience designing multi-tenant SaaS platforms.
- Exposure to frontend integration (Angular, React, or similar) and UI/UX flow understanding.
- Knowledge of AI safety, risk frameworks, and prompt governance.
- Strong analytical and communication skills for working across business and technical stakeholders.
- Awareness of FinOps and cost optimization in token-based AI ecosystems.
Qualifications
- Bachelor’s or Master’s degree in Computer Science, AI, or Cloud Architecture.
- 8–12 years of professional experience, with at least 3 years focused on AI platform architecture or enterprise-grade SaaS system design.
Certifications in GCP Professional Cloud Architect or Machine Learning Engineer are a plus.
NodeJS (Node.js)
React.js
Redis
PostgreSQLSenior Software Engineer
- Minimum 5 years in typescript and Total of minimum 8 Years of experience
- Excellent communication skills. English Language fluency is Mandatory.
We are looking for strong backend senior engineers
- 8+ years experience as Senior Software Engineer
- Have worked in medium- to big-sized companies for at least 3 years ( companies with 50+ developers)
- Strong architecture and planning skills
- Strong AI coding skills (being fluent in developing agents and skills) and using them in their development routines
- Distributed programming knowledge
- Typescript, Postgres & Kubernetes knowledge.
Ways of working
The engineers will be lead/managed by a UK Multinational company engineer manager (initially one currently based in Europe), and we are going to work on hiring one in Asia if we succeed in putting the team together
Engineers will have a direct contract with UK Multinational Company as career employees (entitled to company benefits and career progression) and will be trained in the UK Multinational Company product portfolio and work on several different projects.
We work in an environment where each engineer is presented with a business problem (or user story) and must come up with a detailed plan on how to tackle it (and explain and get approval from the team), which we do during the refinement meetings. In summary, we do not tell the engineers what to do, our expectation from a Senior engineer is that he tells us what to do (he will be trained, of course, in the best practices and technical specs of our environment).
Hiring process
- Hiring manager interview
- System Design interview
- Coding (with AI) interview
Machine Learning (ML)
PythonJob Descriptions:
1. Job Requirement
We are seeking a highly skilled Senior Generative AI Developer to join our AI/ML team. This role focuses on leveraging cutting-edge Generative AI (GenAI) technologies to drive innovation and efficiency in software development and business processes. The ideal candidate will work on advanced techniques such as Retrieval-Augmented Generation (RAG), document chunking, and data embedding across multiple vector databases. They will collaborate closely with cross-functional teams to design, implement, and optimize AI-driven solutions, with exposure to cloud-native AI platforms like Amazon Bedrock and Microsoft Azure OpenAI considered a plus.
Responsibilities:
- Develop and deploy GenAI-based applications to solve complex business problems.
- Implement RAG frameworks to enhance information retrieval and response accuracy.
- Design and optimize document chunking strategies tailored to specific data types and use cases.
- Build and manage data embeddings using various vector databases for high-performance similarity searches.
- Collaborate with data engineers and scientists to integrate AI solutions seamlessly into existing pipelines.
- Explore and implement best practices for leveraging Amazon Bedrock and Azure OpenAI services.
- Stay updated on emerging trends and technologies in the GenAI and AI/ML landscape.
2. Required Technical Skillsets
Mandatory Skills:
- Proficiency in Generative AI frameworks and technologies like
- Prompt Engineering – creating specific prompts to guide LLM outputs
- Fine Tuning and Few-Shot learning – Adapting LLMs for domain-specific tasks.
- Retrieval-Augmented Generation (RAG) – Combining LLMs with external data retrieval systems
- Text-to-Text Transfer Transformation (T5) – Framework for translating tasks into text forms.
- Expertise in designing and implementing chunking strategies for diverse datasets.
- Strong knowledge of data embedding techniques and working experience with vector databases like Pinecone, Weaviate, or Milvus.
- Solid programming skills in Python, with experience in AI/ML libraries such as TensorFlow, PyTorch, or Hugging Face Transformers.
- Familiarity with cloud platforms and services for AI/ML workloads (AWS or Azure).
- Experience with API integration for AI services and building scalable applications.
Desirable Skills:
- Hands-on experience with Amazon Bedrock and/or Microsoft Azure OpenAI services.
- Knowledge of natural language processing (NLP) techniques and large language model (LLM) fine-tuning.
- Exposure to different chunking strategies, including overlap and semantic segmentation.
- Understanding of DevOps practices for deploying and managing AI models in production.
- Strong problem-solving and analytical skills with a focus on delivering value-driven solutions.
Job role: Key Account Manager
Location: Bangalore & Mumbai
Experience Required: 12–14 years
About the Role: We are seeking a dynamic and experienced Key Account Manager to drive strategic growth and manage relationship for Banking and Fintech domain.
The ideal candidate will have a strong background in leadership, account management, and consultative selling, with a proven ability to align IT services with client needs and build long-term partnerships.
Key Responsibilities:
• Build and strengthen relationships with the strategic accounts in the Banking and fintech domain by aligning IT solutions with their needs and finding opportunities to increase revenue.
• Develop and execute strategic account plans tailored to client needs.
• Collaborate with cross-functional teams to ensure seamless delivery and client satisfaction.
• Conduct regular business reviews to identify upselling, cross-selling, and partnership expansion opportunities.
• Lead account mapping, connect with key decision-makers, and facilitate client visits to build a strong pipeline.
• Drive client satisfaction and foster long-term partnerships for sustained growth
Skills & Qualifications:
• Education:
o Bachelor's degree in Engineering.
o MBA in Sales & Marketing (preferred).
• Extensive experience in managing accounts in Banking and Financial services domain.
• Proficient in risk analysis, effort estimation, cost estimation, and budget/resource management.
• Strong expertise in working with enterprise customers, engaging in consultative selling, and nurturing client relationships.
• Proven ability to develop and execute account and territory plans to expand customer base.
• Skilled in managing sales pipelines, assessing opportunities, and driving transactions to closure.
• Adept at understanding client requirements, providing tailored solutions, and ensuring client satisfaction and retention.
• Strategic thinker with strong techno-commercial acumen and excellent interpersonal and negotiation skills
NodeJS (Node.js)
MongoDB
ExpressResponsibilities-
- Participate in the entire application lifecycle, focusing on coding and debugging
- Write clean code to develop functional web applications
- Troubleshoot and debug applications
- Collaborate with Front-end developers to integrate user-facing elements with server-side logic
- Gather and address technical and design requirements
- Provide training and support to internal teams
- Build reusable code and libraries for future use
- Liaise with developers, designers to identify new features
- Follow emerging technologies
Requirements-
- Spent at least 3 yrs in a solid back end role
- Experience taking a problem to a product solution (module/product)
- Prior experience working with startups and understand the fast-paced, dynamic nature of work
- Javascript, NodeJS
- Client-server architecture
- OOP concepts, including design patterns
- Understanding of RDBMS (MySQL, Postgresql)
- Understanding of REST API
- Familiarity with frameworks such as ExpressJs
- Knowledge of TDD frameworks mocha, chai, jest, etc
- Knowledge of AWS (Lambda, RDS, EC2, SQS, S3, ECS, etc)
- Basic knowledge of Typescript, NextJs
- Prior experience in fin-tech
Javascript
PHP
Laravel- Minimum of 1+ years PHP web development experience
- As a PHP developer your duties would primarily consist of developing new projects built using PHP-based frameworks/platforms, writing custom code, and architect new solutions for prospective clients.
- Expert with PHP object-oriented programming & MVC applications
- Familiarity with automated deployment strategies
- Solutions-oriented thinking; always looking for the smart solution to a problem rather than jumping at the first answer
- Salary is negotiable depending on the experience
Job description
Overview - The Market Development team is our direct link to our customers and brings in the revenue. It includes sub teams like Renewals, HVM (High Value Memberships), Hubs, and Retail Centres. They might be spread across locations but they are united by one cause...Whats the sale for today?”
Role - As a Product Advisor, you will be responsible for making sales calls and closing sales pitches with our members. To be a successful Product Advisor, you should be persuasive and able to work in a high-pressure environment. Ultimately, a top-performing Product Advisor is the one who follows sales scripts and demonstrate exceptional communication, negotiation skills, and deliver a great customer experience.
What you will do in this role
- Outbound Telesales
- Making outbound calls to Shaadi.com Members basis the leads provided offering the customers products which would help them in their life partner search.
- Following the defined sales process to convert free members into revenue paying customers.
- Ensuring Call Disposition Comments are updated once the call is completed with all relevant details.
- Making required number of calls for following up with Enquiries which are not converted
- Updating the details of follow-up in the system
- Meeting daily Talktime Targets and Calls to be done.
- Meeting Revenue Targets and ensuring Lead to Conversion Ratios are met.
- Appearing for periodic evaluations
- In case call needs to be escalated, noting details and forwarding it to the seniors
- Interfacing with walk-in customers (if assigned the task), explaining to them features of Shaadi.com/Centre and converting them to Premium Membership
- Maintaining all documentation that pertains to the above responsibilities
What you should have
- 1-3 years of relevant experience Sales or Telesales.
- Strong negotiation and consultative selling skills.
- Effective communication skills – verbal and written.
- Clear diction and clarity in speech.
- Languages required - Malayalam , Kannada , Urdu and Tamil
- Minimum Qualification HSC
Brownie Points
- Bachelor’s Degree.
- Fluency in Regional language.(Multilingual Skills preferred)
Javascript
HTML/CSSReact.js
Angular (2+)
AngularJS (1.x)
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Full Stack Developer - Averlon