Wissen Technology
https://wissen.comAbout
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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Jobs at Wissen Technology
Job Title:
IT Analyst – SAP S4 ABAP Developer
Job Purpose:
The IT Analyst will be responsible for designing, developing, and maintaining SAP applications using ABAP programming language. The role involves creating custom reports, interfaces, enhancements, and forms, ensuring compliance with SAP best practices and delivering high-quality technical solutions to meet business requirements.
Key Responsibilities:
ABAP Development & Customization
- Develop and maintain SAP applications using ABAP (Reports, Interfaces, Enhancements, Forms).
- Implement custom solutions and enhancements based on functional specifications.
- Optimize ABAP code for performance and scalability.
Integration & Technical Expertise
- Develop and maintain interfaces between SAP and external systems using IDoc, BAPI, and RFC.
- Support integration with SAP modules and third-party applications.
Performance Optimization & Quality Assurance
- Conduct code reviews and ensure adherence to SAP development standards.
- Perform unit testing and support system integration testing.
Collaboration & Support
- Work closely with functional teams to gather requirements and deliver solutions.
- Provide technical support and resolve issues in SAP applications.
Experience:
- Minimum 6+ years of experience in SAP ABAP development.
- Strong expertise in ABAP programming and related technologies.
- Exposure to SAP S/4HANA and modern ABAP features preferred.
Technical Skills:
- ABAP development (Reports, Interfaces, Enhancements, Forms).
- Experience with CDS Views, OData services, and SAP Gateway.
- Knowledge of performance tuning and debugging techniques.
Soft Skills:
- Strong problem-solving and analytical skills.
- Excellent communication and collaboration abilities.
Preferred Certifications:
- SAP Certified Development Specialist – ABAP for SAP HANA
PythonCompany: Wissen Technology
Position: Databricks Engineer
Experience: 6-10 Years
Location: Bengaluru/Mumbai
Employment Type: Full-time
About Wissen Technology
Wissen Technology is a global technology services company focused on delivering innovative software engineering, data, and technology solutions to leading enterprises. The company works with clients across industries to build scalable, high-performance technology platforms and solve complex business and technology challenges.
With a strong focus on engineering excellence, innovation, and collaboration, Wissen Technology brings together skilled technology professionals across areas such as software engineering, data engineering, cloud, analytics, and digital transformation.
At Wissen Technology, employees have the opportunity to work on challenging technology projects, collaborate with experienced engineering teams, and contribute to solutions that create measurable business impact.
Key Responsibilities
- Design, develop, and maintain scalable data processing applications using Python, PySpark, and Spark.
- Develop and optimize data pipelines and workflows on Databricks.
- Collaborate with data engineers, data scientists, business stakeholders, and other technical teams to understand requirements and deliver high-quality solutions.
- Ensure data integrity, quality, performance, and reliability across data processing pipelines.
- Write clean, maintainable, scalable, and efficient code following established coding standards and best practices.
- Perform data analysis and implement appropriate data validation and quality checks.
- Monitor, troubleshoot, and optimize performance issues across data workflows and pipelines.
- Work with relational databases and develop efficient SQL queries for data extraction and transformation.
- Participate in code reviews, testing, deployment, and continuous improvement of data engineering solutions.
- Use Git/version control and follow established software development and deployment practices.
Required Skills & Qualifications
- Bachelor’s or Master’s degree in Computer Science, Engineering, Information Technology, or a related field.
- Proven experience as a Databricks Developer, Data Engineer, or similar role.
- Strong hands-on expertise in Apache Spark and PySpark.
- Strong programming skills in Python; experience with Scala is an advantage.
- Strong proficiency in SQL and hands-on experience with relational databases.
- Practical experience developing and optimizing data pipelines and data processing applications.
- Familiarity with Git and version control systems.
- Strong understanding of data engineering concepts, data transformation, and data validation.
- Excellent analytical and problem-solving skills.
- Strong communication and collaboration skills, with the ability to work effectively with cross-functional teams.
PythonRole Overview
We are looking for an experienced AI/ML Engineer with strong expertise in Python, Generative AI, LLMs, LangChain, and LangGraph. The candidate will be responsible for designing and developing AI-powered applications, intelligent agents, and scalable LLM-based solutions.
Key Responsibilities
- Design and develop AI/ML and Generative AI applications using Python and modern LLM technologies.
- Build LLM-based applications and AI agents using LangChain and LangGraph.
- Develop agentic workflows involving tool calling, memory, reasoning, and multi-step orchestration.
- Integrate LLMs such as OpenAI, Azure OpenAI, Anthropic, Gemini, or other foundation models.
- Develop RAG (Retrieval-Augmented Generation) pipelines using vector databases.
- Work with embeddings, prompt engineering, semantic search, and document processing.
- Develop scalable APIs and backend services using Python, FastAPI, or Flask.
- Build and integrate AI solutions with existing applications and enterprise systems.
- Deploy and maintain AI/ML solutions on cloud platforms.
- Collaborate with data scientists, software engineers, and product teams to develop business-focused AI solutions.
Required Skills
- Strong hands-on experience in Python programming.
- Strong experience in AI/ML and Generative AI.
- Hands-on experience with LLMs and LLM-based application development.
- Strong experience with LangChain and/or LangGraph.
- Experience building AI Agents / Agentic AI workflows.
- Strong understanding of RAG, embeddings, vector databases, and prompt engineering.
- Experience with vector databases such as FAISS, Pinecone, Chroma, Weaviate, or Azure AI Search.
- Experience developing REST APIs using FastAPI/Flask.
- Good understanding of Machine Learning, NLP, and deep learning concepts.
- Experience with Azure / AWS / GCP cloud platforms.
Good to Have
- Experience with multi-agent systems and agent orchestration.
- Knowledge of MLOps / LLMOps.
- Experience with Docker, Kubernetes, and CI/CD.
- Knowledge of LLM evaluation, monitoring, observability, and AI governance.
- Experience with Azure OpenAI, Azure AI Foundry, or AWS Bedrock.
NodeJS (Node.js)
Javascript
Role Summary
We are seeking a Senior Software Developer with strong backend engineering experience and an AI-first, automation-focused mindset. The ideal candidate is proficient in JavaScript, Node.js, TypeScript, APIs, and AWS, with experience building scalable integrations and working in microservices environments.
The role will also contribute to the adoption of AI-assisted and agentic development practices, including working with Model Context Protocol (MCP), AI agents, reusable skills/tools, and automation to improve engineering productivity.
We are looking for someone who can work independently, challenge existing approaches, identify opportunities for automation, and drive solutions with minimal supervision.
Key Responsibilities
- Design, develop, test, and maintain backend services using JavaScript, Node.js, TypeScript, and XML.
- Build scalable integrations using REST/JSON APIs and microservice-based architectures.
- Develop and support services in an AWS cloud environment.
- Use AI-assisted development tools to improve coding, debugging, testing, documentation, analysis, and code review.
- Design and integrate MCP servers/tools to enable AI agents to securely interact with applications, APIs, data, and engineering systems.
- Build or contribute to reusable AI agents, skills, prompts, tools, and automated engineering workflows.
- Identify repetitive development and support activities that can be simplified or automated using AI or traditional automation.
- Perform code reviews and ensure adherence to engineering, security, and coding standards.
- Troubleshoot complex defects and production issues and perform structured root-cause analysis.
- Collaborate with QA, Product, Business Analysis, and Architecture teams to deliver high-quality solutions.
- Contribute to technical documentation, reusable solutions, and engineering knowledge sharing.
Required Skills & Experience
- Strong experience with Node.js, JavaScript, and TypeScript.
- Strong experience designing and integrating REST APIs and JSON-based services.
- Experience working with XML, including parsing, validation, and transformations.
- Experience developing solutions in AWS and microservices environments.
- Strong debugging, troubleshooting, and production-support skills.
- Experience with AI-assisted software development tools such as Claude Code, GitHub Copilot, Cursor, Devin, or similar tools.
- Understanding of LLMs, AI agents, tool calling, and agentic workflows.
- Experience working with or building Model Context Protocol (MCP) servers and integrations.
- Understanding of secure API/tool integration, authentication, permissions, and data handling when exposing capabilities to AI agents.
- Ability to identify practical opportunities for AI, automation, and reusable engineering tooling.
- Experience with CI/CD, Git-based development, and modern software engineering practices.
- Experience performing code reviews and mentoring other developers.
- Strong analytical, problem-solving, written, and verbal communication skills.
Preferred Skills
- Experience building AI-enabled developer tools, agents, or internal engineering platforms.
- Experience with prompt engineering, structured outputs, RAG, embeddings, or LLM APIs.
- Experience integrating engineering systems such as GitLab, Jira, CI/CD pipelines, APIs, databases, or observability platforms with AI agents.
- Experience creating reusable MCP tools or agent workflows used by multiple developers.
- Airline, travel, Offer/Order, reservation systems, or GDS experience is a plus.
Mindset We Are Looking For
We are looking for developers who think beyond implementing the immediate requirement and consistently ask:
- Can AI or automation make this development process faster or more reliable?
- Can this capability be built as a reusable tool, skill, agent, or MCP integration?
- Can repetitive analysis, debugging, testing, or documentation be automated?
- Can an existing solution be simplified or made more scalable?
- How can AI be used responsibly without compromising security, quality, or maintainability?
The goal is to build an engineering organization where developers use AI and automation as part of their everyday engineering workflow, while continuing to maintain strong software engineering fundamentals.
Python
Amazon Web Services (AWS)Data Architect – Databricks & AWS
- Strong experience in Data Architecture, Data Engineering, Databricks, Apache Spark/PySpark, Python, and Advanced SQL.
- Design and implement scalable ETL/ELT pipelines, data platforms, and Lakehouse architectures using Medallion Architecture.
- Experience with Databricks, Databricks Workflows, Unity Catalog OR Databricks Jobs
- Strong knowledge of Delta Lake, Databricks Workflows, Delta Live Tables (DLT), and dimensional data modeling.
- Hands-on experience with AWS services such as S3, Glue, IAM, Lambda, and CloudWatch.
- Experience with Apache Airflow, Data Warehouse concepts, Git/CI-CD, performance optimization, and data quality.
- Good to have exposure to Kafka/Structured Streaming, Unity Catalog, and modern data governance.
Salesforce Metadata & Sybase Migration Specialist
Experience: 7+ years
We are looking for a senior Salesforce technical professional with deep expertise in Salesforce metadata and data migration to support a Salesforce-to-Sybase backend migration initiative.
Key Responsibilities
- Analyze Salesforce metadata and understand how it drives forms, objects, fields, layouts, and data structures.
- Extract and interpret Salesforce metadata for migration into the Sybase backend.
- Define and validate Salesforce-to-Sybase data and schema mappings.
- Support migration strategy, data extraction, transformation, and validation.
- Work closely with engineering and architecture teams to identify dependencies, gaps, and migration risks.
Required Skills
- 7+ years of Salesforce technical experience.
- Strong hands-on experience with Salesforce Metadata API / Salesforce metadata.
- Deep understanding of Salesforce objects, fields, page layouts, record types, validation rules, and metadata-driven configurations.
- Experience with data migration, metadata extraction, schema mapping, and backend integrations.
- Strong Sybase / SQL knowledge preferred.
- Experience working on complex Salesforce migration or integration projects.
Ideal Profile: Salesforce Technical Architect, Salesforce Technical Lead, or Senior Salesforce Developer with strong metadata and migration expertise.
Role Overview
The Business Analyst for the CCX Customer Success AI Acceleration workstream partners closely with Engineering, Product Management, and Program teams to translate customer success strategy and AIdriven use cases into clear, actionable requirements that enable scalable delivery. This role sits on the engineering side of the house, acting as a connective layer between business intent, technical execution, and AIenabled platform outcomes.
The Business Analyst ensures that AI acceleration initiatives across the Customer Success Platform are well‑defined, appropriately prioritized, and traceable from business objectives through system design and delivery. This includes refining problem statements, documenting requirements, supporting backlog readiness, and helping teams move quickly without losing alignment or clarity.
Requirements
• Proven experience as a Business Analyst supporting engineering teams, preferably in enterprise, platform, or SaaS environments.
• Strong ability to translate business needs, customer success objectives, and AI use cases into clear functional and non‑functional requirements.
• Experience working on AI‑enabled or data‑driven products, including concepts such as automation, recommendations, agentic workflows, or insights powered by analytics.
• Ability to partner effectively with Engineers, Product Managers, Technical Program Managers, and UX to support backlog refinement and delivery planning.
• Experience creating and maintaining artifacts such as user stories, acceptance criteria, process flows, data mappings, and dependency documentation.
• Comfort operating in fast‑paced, iterative delivery environments, supporting AI acceleration efforts where requirements evolve quickly.
• Strong analytical skills with the ability to identify gaps, risks, dependencies, and edge cases early in the development lifecycle.
• Clear written and verbal communication skills, with the ability to align technical and non‑technical stakeholders.
• Familiarity with ServiceNow‑style enterprise platforms, customer success workflows, or complex system integrations is a strong plus.
• Bachelor’s degree in Business, Information Systems, Engineering, or a related field—or equivalent professional experience.
PythonKey Responsibilities
- Design, develop, and maintain scalable applications using Python.
- Build and integrate AI-powered solutions into existing applications.
- Develop REST APIs and backend services.
- Work with AI/ML models, LLMs, and Generative AI technologies where applicable.
- Integrate AI services and APIs into business applications.
- Write clean, maintainable, and efficient code.
- Collaborate with cross-functional teams to deliver high-quality solutions.
- Troubleshoot issues and optimize application performance.
Must-Have Skills
- Strong hands-on experience in Python development.
- Good understanding of Python frameworks such as FastAPI, Flask, or Django.
- Experience in REST API development and backend services.
- Knowledge or experience in AI/ML concepts.
- Understanding of application development, debugging, and problem-solving.
- Good understanding of databases and data handling.
Good-to-Have Skills
- Hands-on experience with Generative AI and Large Language Models (LLMs).
- Experience with AI APIs and frameworks such as LangChain or LlamaIndex.
- Knowledge of Retrieval-Augmented Generation (RAG), embeddings, and vector databases.
- Familiarity with cloud platforms such as AWS, Azure, or GCP.
- Experience with Docker, Kubernetes, or CI/CD pipelines.
JavaWe are looking for someone who:
- Has strong expertise in Java Backend Development
- Has excellent problem-solving and analytical skills
- Can work independently as well as collaborate effectively with teams
- Has experience working on enterprise-scale applications
- Is comfortable working in a fast-paced environment
- Has AI experience or a good understanding of AI concepts, tools, or AI-powered applications
Java
Spring BootJOB DESCRIPTION
Experience: 4 to 10 years
Location- Bangalore/ Mumbai
Wissen Technology is now hiring for a Java Developer - Bangalore with hands-on experience in Core Java, algorithms, data structures, multithreading and SQL. We are solving complex technical problems in the industry and need talented software engineers to join our mission and be a part of a global software development team. A brilliant opportunity to become a part of a highly motivated and expert team which has made a mark as a high-end technical consulting.
Required Skills:
- Exp. 4 to 10 years
- Experience in Core Java and Spring Boot.
- Extensive experience in developing enterprise-scale applications and systems. Should possess good architectural knowledge and be aware of enterprise application design patterns.
- Should have the ability to analyze, design, develop and test complex, low-latency client- facing applications.
- Good development experience with RDBMS.
- Good knowledge of multi-threading and high-performance server-side development.
- Basic working knowledge of Unix/Linux.
- Excellent problem solving and coding skills.
- Strong interpersonal, communication and analytical skills.
- Should have the ability to express their design ideas and thoughts.
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