Wissen Technology

Role Overview

We are looking for a highly skilled Java Fullstack developer with strong experience in Java and Angular. The role requires hands-on development, design, architecture understanding, code review, and team coordination.

Experience: 7+years

Location - Pune/Mumbai

Hybrid Mode

Notice Period - Immediate, 15days, Oct joiners

Key Responsibilities

• Perform hands-on development using Java, Angular.
• Drive solution design, code quality, best practices, and performance optimization.
• Work closely with the client’s product owners and architects.
• Conduct code reviews, technical grooming, and sprint planning.
• Troubleshoot and resolve complex technical issues.
• Ensure timely delivery of modules with high quality.
• Mentor team members and support them in solving technical blockers.

Technical Skills Required

• Strong expertise in Java 8+, Spring Boot, REST APIs.
• Strong front-end experience with Angular 8+, TypeScript, HTML, CSS.
• Experience with SQL/NoSQL databases (MySQL, PostgreSQL, MongoDB, etc.).
• Hands-on with Git, Maven/Gradle, Jenkins, CI/CD.
• Knowledge of SQL (stored procedures) is an added advantage.
• Experience with Agile/Scrum methodologies.

Soft Skills

• Excellent communication and client-facing skills.
• Ability to lead, mentor, and motivate the team.
• Strong problem-solving and analytical skills.

Senior Network Security Engineer – ZTNA (Zscaler, Axis/HPE SSE Focus)

• ZTNA and Zero Trust Implementation: The role involves architecting and deploying ZTNA solutions using platforms like Zscaler and Axis Security, replacing traditional VPNs with identity-aware access, enforcing least-privilege models based on user identity, device posture, and application context, and integrating with identity providers and security tools to secure remote workforces and third parties. Migration from VPN to ZTNA is a key responsibility. 

• Network Security Architecture and Operations: The engineer participates in architecture reviews, designs secure environments across data centers, cloud, and edge, provides risk and telemetry analysis, supports audits and compliance, manages SIEM systems, and collaborates with global cybersecurity and infrastructure teams to maintain security posture. 

• Technical Expertise and Qualifications: Required qualifications include over 10 years of experience in network security engineering, hands-on expertise with Zscaler (ZIA, ZPA), Axis Security/Aruba SSE, deep knowledge of Zero Trust, SASE frameworks, firewall and proxy technologies, identity integration, cloud security across AWS, Azure, and GCP, and certifications such as CCNP, CCIE, Zscaler certifications, and CISSP or CISM. 

• Role Focus and Strategic Importance: The position emphasizes transitioning from traditional network security to identity-driven access security, positioning ZTNA as a core transformation pillar replacing VPNs, aligning with enterprise Zero Trust initiatives, enabling secure hybrid workforces, and balancing expertise in both modern cloud security platforms and traditional network controls.

AI Developer  

Primary Skill-set (Must have) 

• Generative AI Expertise: 2-3 years of experience in designing and implementing generative AI solutions, including knowledge of various generative and autoregressive models. Ability to apply generative AI techniques to diverse use cases such as image generation, text generation, and creative content synthesis. 

• 2 years of experience in prompt engineering, fine tuning, agentic framework, GenAI SDK’s 

• 1-2 years of experience in Agentic AI frameworks like Autogen, Lanngraph, MS Agent SDK, A2A, MCP, A2P, memory concepts, multi agent orchestration 

• 7+ years of experience in Python 

• 5+ years of experience in software development 

• Azure Proficiency: 3-5 years of experience with Azure cloud services relevant to AI, including Azure Machine Learning, Azure Cognitive Services, Azure Databricks, and Azure Kubernetes Service (AKS). 2+ years of experience in Azure's capabilities to architect end-to-end AI solutions and optimize performance. 

• Architecture Design: 3-5 years of skills with the ability to design scalable, reliable, and cost-effective architectures for AI solutions. Proficiency in designing distributed systems, microservices architectures, and containerized solutions using technologies such as Docker and Kubernetes. 

Secondary Skills (Good to have) 

• Security and Compliance: Understanding of security principles and best practices in AI development, with the ability to implement security controls, encryption mechanisms, and access management policies to protect AI models and sensitive data. 

• Integration and Deployment: Proficiency in implementing CI/CD pipelines, automation scripts, and infrastructure as code (IaC) using tools such as Azure DevOps, Terraform, or Ansible. Experience in containerization and orchestration of AI workloads using Docker and Kubernetes. 

• Software Development: Strong programming skills in languages such as Python, with experience in developing AI applications, RESTful APIs, and microservices architectures. Familiarity with software development methodologies such as Agile or Scrum. 

• Communication and Presentation: Excellent communication skills with the ability to convey complex technical concepts to non-technical stakeholders. Experience in preparing and delivering technical presentations, architecture diagrams, and documentation to communicate architectural decisions and design rationale effectively. 

Job Title: QA Test Engineer

Company: Wissen Technology

Location: Bangalore, India

Experience: 3–5 Years

Employment Type: Full-time

Job Summary

Wissen Technology is looking for a skilled and detail-oriented QA Test Engineer with 3–5 years of experience in software quality assurance and testing. The ideal candidate will have strong hands-on experience in manual and automation testing, a good understanding of the software development lifecycle, and the ability to work closely with development, product, and business teams to deliver high-quality software.

The candidate should be comfortable working in an Agile environment, analyzing requirements, designing test scenarios, identifying defects, and contributing to continuous improvement of the QA process.

Required Skills

• 3–5 years of experience in Software Testing / Quality Assurance.
• Strong understanding of STLC, SDLC, and defect life cycle.
• Hands-on experience in automation/ manual testing.
• Experience with automation testing using Selenium, Playwright, Cypress, or similar tools.
• Good programming/scripting knowledge in Java, Python, or JavaScript/TypeScript.
• Experience with API testing using Postman, REST Assured, or equivalent tools.
• Good knowledge of SQL and database testing.
• Experience working with JIRA or similar defect/test management tools.
• Understanding of Git and CI/CD pipelines.
• Good understanding of Agile/Scrum methodologies.
• Strong analytical, troubleshooting, and problem-solving skills.
• Good written and verbal communication skills.

Good to Have

• Experience with automation frameworks such as Page Object Model, BDD, or data-driven frameworks.
• Exposure to Jenkins, GitHub Actions, GitLab CI, or similar CI/CD tools.
• Experience testing cloud-based applications, preferably on AWS/Azure.
• Knowledge of performance testing tools such as JMeter.
• Exposure to Docker/Kubernetes or microservices testing.
• Experience working in financial services, banking, or other enterprise applications.

Technical Product Manager – Healthcare

Required Experience

• 5+ years in technology product or platform product roles.
• Demonstrated experience delivering healthcare technology products.
• Direct exposure to healthcare data, analytics, or AI-enabled solutions.
• Experience operating in regulated environments, including HIPAA, PHI, and healthcare compliance.
• Proven ability to lead complex healthcare initiatives through ambiguity and change.

Healthcare Domain Expertise

• Strong understanding of healthcare operations and workflows, including:
• Payer
• Provider
• Care Management
• Familiarity with healthcare domains such as:
• Utilization Management (UM)
• Care Management / Case Management
• Prior Authorization
• Ability to translate clinical and operational workflows into scalable technology solutions.
• Strong understanding of regulatory, compliance, and patient safety considerations in product decisions.

Product & Strategy

• Outcome-driven product mindset grounded in healthcare realities and AI/data-first thinking.
• Ability to identify where data, analytics, and AI can improve healthcare outcomes or reduce administrative burden.
• Roadmap ownership integrating:
• Core healthcare capabilities
• Data and interoperability foundations
• Analytics and AI enablement
• Prioritization informed by:
• Clinical impact
• Operational value
• Feasibility
• Risk
• Strong problem framing focused on insight generation, automation, and scale.

Data, Analytics & AI Enablement

• Working understanding of:
• Healthcare data domains, including member, provider, clinical, authorization, and outcomes data.
• Data flows across payer, provider, and partner systems.
• Ability to partner with Data Engineering, Analytics, and AI teams to:
• Enable reliable healthcare analytics and reporting.
• Support decision-making through insights and AI-assisted summarization.
• Experience defining requirements for:
• Operational and clinical dashboards.
• KPIs tied to quality, efficiency, cost, and experience.
• AI-enabled analytics, including summarization, prioritization, and decision support.
• Awareness of data quality, lineage, interoperability, and adoption challenges in healthcare.

AI & Automation in Healthcare

• Understanding of AI use cases relevant to healthcare:
• Clinical and operational summarization.
• Decision support with human-in-the-loop.
• Workflow automation and prioritization.
• Ability to balance innovation with:
• Responsible AI practices.
• Explainability and auditability.
• Regulatory and ethical considerations.
• Experience guiding AI from pilot to production to scaled adoption in healthcare settings.

Technology & Architecture Knowledge

• Understanding of modern architectures supporting healthcare data and AI:
• APIs
• Microservices
• Cloud platforms
• Data platforms
• Interoperability layers
• Integration patterns
• Ability to evaluate build vs. buy vs. reuse with healthcare constraints in mind.
• Comfort navigating legacy systems, technical debt, and complex integrations common in healthcare ecosystems.

Delivery & Execution

• Agile / SAFe execution with emphasis on progress, readiness, and adoption.
• Strong dependency and risk management across:
• Product teams
• Data pipelines
• Analytics platforms
• AI platforms
• Release planning that includes:
• Data readiness and validation.
• Analytics accuracy.
• AI model monitoring.
• Compliance checks.

Stakeholder & Communication

• Trusted partner to business, clinical, and operations leaders.
• Clear articulation of trade-offs, risks, and value realization.

About Role

Full Stack Developer – .NET Core & React

Key Responsibilities

• Design, develop, and maintain scalable web applications using .NET Core (ASP.NET Core) and React.js.
• Build and consume RESTful APIs and microservices.
• Develop responsive and user-friendly front-end applications using React.js.
• Collaborate with business stakeholders, product owners, and technical teams to gather requirements and translate them into effective technical solutions.
• Write clean, maintainable, and high-quality code following industry best practices.
• Participate in code reviews, design discussions, and technical planning.
• Deploy, manage, and troubleshoot applications running on Kubernetes.
• Work closely with DevOps teams to support CI/CD pipelines and release activities.
• Optimize application performance, scalability, and reliability.
• Troubleshoot and resolve production issues and provide ongoing application support.
• Contribute to technical documentation and knowledge-sharing initiatives.

Required Skills

• 2–7 years of software development experience.
• Strong hands-on experience with C# and .NET Core / ASP.NET Core.
• Strong experience in React.js development.
• Experience building REST APIs and microservices.
• Hands-on experience with Kubernetes.
• Experience with SQL Server or other relational databases.
• Good understanding of Git version control and CI/CD practices.
• Strong problem-solving and debugging skills.
• Excellent communication and stakeholder management skills.

Good to Have

• Experience with AWS services such as:
• EC2
• EKS
• S3
• Lambda
• CloudWatch
• IAM
• Experience with Docker and containerized application deployment.
• Exposure to Agile/Scrum development methodologies.

Experience needed:

More than 6 years of experience in SAP FICO, with experience in S/4HANA 2023.

Key Responsibilities and Technical Skills

General Ledger – FI

• Experience with New GL functionalities.
• Parallel Ledger.
• Global Chart of Accounts.
• Country-specific Chart of Accounts.
• Multiple currency setups.
• Multi-GAAP requirements.
• Tax setup and reporting.
• Account determination.
• Withholding Tax setup with GST.
• Financial closing activities.
• GST configuration and processes.
• Working with interfaces such as ALE, IDOC and PI/PO.

Treasury

• Experience with the SAP Treasury module.
• Handling day-to-day FICO and Treasury issues.
• Customer interaction related to FICO and Treasury processes.

Accounts Receivable and Accounts Payable

• S/4HANA experience in Accounts Receivable and Accounts Payable.
• Strong integration experience with PTP and OTC processes.
• Intercompany accounting and reconciliation.
• Payment methods.
• Payment files.

Bank Accounting

• House bank and bank account setup.
• Electronic Bank Statement using different file formats, including MT940.
• Bank interfaces for:
• Customer collections.
• Vendor payments.

Asset Accounting

• Multi-country and multi-currency setup for Asset Accounting.
• New Asset Accounting for New GL.

SAP Integration

• FI integration with:
• SD
• MM
• PP
• HR
• Experience with interfaces across SAP modules.
• Month-end activities.
• Year-end activities.

Controlling – CO

• Cost Centre Accounting.
• Profit Centre Accounting.
• Product Costing.
• Actual Costing.
• Profitability Analysis.
• Internal Orders.
• WBS.
• Budgeting.
• Material Ledger.
• Standard Costing.

Change Requests and Business Support

• Handling Change Requests.
• Requirements gathering.
• Preparing Functional Specifications.
• Supporting new business setup.
• New Company Code setup.
• Supporting changes in business processes.
• Handling requirements such as PF interest calculation and ISD distribution in HR modules.
• Repeat call analysis from FICO.
• Identifying possible automation cases in FICO and Treasury.

Stakeholder and Customer Interaction

• Coordinate with other SAP modules.
• Participate in customer meetings.
• Handle day-to-day FICO and Treasury issues.
• Maintain effective communication with customers and stakeholders.
• Handle customer interactions related to FICO and Treasury.

7+ years in software programming experience with the following 

AIDLC - Experience building Agentic AI agents and be part of POD that uses AI agents for software development lifecycle. 

UI - ANGULAR or REACT worked on any version >2013, JavaScript, HTML, CSS 

API and Backend - Java/J2EE, Spring (Core/Boot/Batch), Rest API, Microservices, UI Widgets, NextJS, Test Automation 

- SQL and GraphQ Engineer L 

- Analytical and debugging capabilities using Splunk Queries, Azure KQL, Grafana, Dynatrace 

Knowledge and hands-on experience with: 

- Cloud: Azure, OpenShift, AKS 

- DevOps: GitHub, GitHub Actions, Artifactory, Docker 

Database - mySQL 

Agile/Scrum experience 

Prior experience in Healthcare industry Utilization management/prior auth or Care management / Optum Clinical Manager experience preferred. 

AI Skills: All contractor resources are expected to demonstrate baseline proficiency in enterprise-approved AI tools as part of their day-to-day responsibilities. This includes but is not limited to: 

Consistent Use: Maintain a minimum of 90% weekly usage of AI tools such as GitHub Copilot, Microsoft 365 Copilot, and other GenAI platforms approved by the enterprise. 

Applied Productivity: Leverage AI tools to enhance coding, documentation, data analysis, and decision-making workflows. 

Continuous Learning: Stay current with evolving AI capabilities and features and apply them to improve delivery quality and velocity. 

SFDC DevOps position (looking for immediate Joiners – candidate has to work in Bangaluru Hybrid ( twice a week) ,  

• 5+ years of experience in Salesforce DevOps or Release Management. 
• Strong knowledge of Salesforce platform, including metadata structure and deployment strategies. 
• Hands-on experience with DevOps tools (GitHub, Azure DevOps). 
• Proficiency in version control systems (Git) and branching strategies. 
• Experience with SFDX CLI, Salesforce APIs, and automation scripts. 
• Familiarity with Agile/Scrum methodologies and release planning. 
• Excellent problem-solving and communication skills. 
• Experience with PMD and Checkmarx scanning tools automation for code quality and security. 
• Experience with SSO certificate renewal processes. 

Job Description: Python + AI

Company: Wissen Technology

Location: Bangalore, India

Experience: 5+Years

Employment Type: Full-Time

Role: Python + AI / Data Engineer

About the Role

Wissen Technology is looking for experienced Python + AI / Data Engineering professionals to join our technology team in Bangalore. The ideal candidate will have strong hands-on experience in Python, Artificial Intelligence, Generative AI, PySpark, Snowflake, and data pipeline development.

The candidate should be capable of designing and developing scalable data and AI solutions, building robust ETL/ELT pipelines, working with large datasets, and integrating AI/ML capabilities into enterprise applications.

Key Responsibilities

• Design, develop, and maintain scalable data pipelines using Python and PySpark.
• Develop robust ETL/ELT pipelines for processing large volumes of structured and unstructured data.
• Build and optimize data processing solutions using Apache Spark / PySpark.
• Develop data ingestion and transformation pipelines into Snowflake.
• Design and implement scalable Snowflake data models, tables, views, and SQL transformations.
• Work with batch and, where applicable, real-time data processing pipelines.
• Build and integrate AI and Generative AI solutions using Python.
• Develop LLM-based applications, RAG solutions, AI agents, and AI-powered services.
• Integrate AI models with enterprise data platforms and data pipelines.
• Develop REST APIs and microservices using FastAPI, Flask, or Django.
• Perform data cleansing, transformation, validation, and quality checks.
• Optimize PySpark jobs, SQL queries, Snowflake workloads, and data pipelines for performance and scalability.
• Implement data pipeline monitoring, logging, error handling, and alerting.
• Work with cloud platforms such as AWS, Azure, or GCP.
• Collaborate with Data Scientists, Data Engineers, Software Engineers, Architects, and business stakeholders.
• Participate in technical design, architecture, code reviews, and production support.
• Mentor junior engineers and contribute to engineering best practices.

Preferred Qualifications

• Bachelor's or master's degree in computer science, Engineering, Data Science, Artificial Intelligence, or a related field.
• Experience working on enterprise-scale AI and data engineering projects.
• Experience combining Python + PySpark + Snowflake + AI/GenAI in production environments.
• Experience with Databricks is an advantage.
• Experience with AI Agents / Agentic AI and tool/function calling.
• Knowledge of distributed systems and cloud-native architecture.
• Experience leading technical initiatives or mentoring engineering teams.