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Java GS Java Developer – Job Description 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. - 2- 7 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. About Wissen Technology: Wissen Technology is a niche global consulting and solutions company that brings unparalleled domain expertise in Banking and Finance, Telecom and Startups. Wissen Technology is a part of Wissen Group and was established in the year 2015. Wissen has offices in the US, India, UK, Australia, Mexico, and Canada, with best-in-class infrastructure and development facilities. Wissen has successfully delivered Java GS projects worth $1 Billion for more than 25 of the Fortune 500 companies. The Wissen Group overall includes more than 4000 highly skilled professionals. Wissen Technology provides exceptional value in mission critical projects for its clients, through thought leadership, ownership, and assured on-time deliveries that are always ‘first time right’. Our team consists of 1200+ highly skilled professionals, with leadership and senior management executives who have graduated from Ivy League Universities like Wharton, MIT, IITs, IIMs, and NITs and with rich work experience in some of the biggest companies in the world. Wissen Technology offers 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. We have been certified as a Great Place to Work® for two consecutive years (2020-2022) and voted 

Palo Alto TAC Engineer

Department: Technical Assistance Center (TAC)

Location: Bangalore

Job Type: Full-Time

Company Name

Inflow Technologies

Company Website

https://inflowtechnologies.com/

Company details

Founded in 2005, Inflow Technologies is a niche player in the IT Infrastructure Distribution Services industry providing Value Added Distribution in Networking, Cyber Security, Unified Communications and Collaboration, AIDC, Surveillance, Server, Storage & Software related Products & Services in India/South Asia.

Inflow is headquartered in Bangalore with presence across 20+ locations, enabling resellers to design, deploy and adopt IT Infrastructure solutions to facilitate their customer needs. This initiative, supported by a strong technical team of 120+ certified resources, assists channel partners throughout their sales cycle.

Inflow has an annual run-rate revenue of USD 700+ Million.

Location: Bangalore

Mode of Working: Work Form Office

Days of Working: 5 Days a week

Responsibilities

About the Role:

We are looking for an experienced and technically skilled TAC (L1+) to join our Palo Alto Networks support team. 

Key Responsibilities:

• Advanced Troubleshooting & Escalations:
• Handle and lead resolution of highly complex L1+ support cases across Palo Alto Networks technologies (e.g., NGFW, Panorama, GlobalProtect, Prisma, Cortex).
• Technical Leadership:
• Act as a go-to expert for L1/L2 engineers, providing technical mentorship, guidance, and support.
• Collaboration:
• Work closely with Engineering, QA, and Product Management teams to drive product improvements and bug fixes based on customer feedback and recurring issues.
• Root Cause Analysis (RCA):
• Conduct thorough analysis of recurring issues and drive permanent corrective actions.
• Customer Communication:
• Interface directly with enterprise customers, ensuring timely and accurate communication throughout the support lifecycle, especially for high-severity incidents.
• Knowledge Sharing:
• Create and maintain detailed technical documentation, knowledge base articles, and troubleshooting guides.
• Incident Management:
• Assist in managing P1/P2 incidents and ensure proper escalation paths and resolution workflows are followed.
• Training & Development:
• Deliver internal training sessions for TAC team members and contribute to skills development programs.

Interview process

2 Rounds - 1st is Virtual (1 round can be face-to-face)

Skills:

Required Skills & Qualifications:

• 4+ years in a technical support or network/security engineering role.
• Expert-level knowledge of Palo Alto Networks products and technologies.
• Deep understanding of networking concepts (TCP/IP, BGP, OSPF, NAT, VPNs, DNS).
• Experience with security concepts (firewalls, IDS/IPS, threat prevention, SSL decryption).
• Familiarity with tools such as CLI, packet capture analysis (Wireshark), syslog, and debug commands.
• Strong communication and customer-facing skills.

Preferred Skills and Certifications:

• Palo Alto Networks certifications such as PCNSE or PCCSE.
• Experience with cloud security (AWS, Azure, GCP) and Prisma Access or Prisma Cloud.
• Hands-on experience with automation/scripting (Python, REST APIs, Ansible) is a plus.
• ITIL or similar framework experience is beneficial.

Any other additional information

Commitment Clause of 3 Years

Role: Tele-Calling Executive

Experience: Freshers - 3 Years with good comm skills

Location: Noida

Key Responsibilities:

• Make outbound calls to prospective customers and handle inbound inquiries.
• Explain company products/services clearly and professionally.
• Understand customer requirements and qualify leads.
• Generate interested leads and schedule meetings/site visits for the sales team.
• Maintain accurate records of calls, leads, and follow-ups in CRM/Excel.
• Conduct timely follow-ups with potential customers.
• Track call outcomes and submit daily/weekly performance reports.
• Coordinate with sales and internal teams to ensure smooth customer handling.
• Build and maintain positive customer relationships.

Skills & Attributes:

• Minimum Qualification: Graduate (Mandatory).
• Good communication and interpersonal skills.
• Strong convincing and negotiation skills.
• Lead generation and lead qualification ability.
• Understanding of sales funnel and customer lifecycle.
• Ability to handle objections and nurture prospects.
• Strong follow-up and relationship-building skills.
• Basic computer knowledge (MS Excel, CRM tools preferred).
• Target-oriented mindset.
• Prior experience in tele calling, customer service, or lead handling preferred.

Work Location:

• Sector 90, Noida, Uttar Pradesh 201305

1–3 years of experience in Customer Success, Technical Support, or Client-Facing roles in a B2B SaaS environment

● Strong communication skills and a customer-first mindset

● Proven ability to support software products for HR or engineering teams

● Experience working directly with business clients and resolving customer issues

● Basic coding knowledge or technical literacy (e.g., ability to read or understand code

logic)

Core Responsibilities

Front-end Development:

o Develop web applications using React, flask. o Implement responsive design to ensure user-friendly interfaces.

o Utilize mapping libraries (e.g., Leaflet, Mapbox) to display geospatial data.

Back-end Integration:

o Work with APIs and manage data flow for project analytics and management.

o Enhance features for robust data handling and real-time project analysis.

Cloud Deployment:

o Deploy and manage web applications on AWS and similar platforms. o Optimize for performance, scalability, and storage efficiency.

GIS and Mapping Tools:

o Develop tools using GIS data like KML and Shapefiles. 

Job Title: Area Sales Manager – B2B School Sales

Location: Thrissur & Cochin, Kerala

Experience: 1 to 4 years

Salary: ₹3.5 – ₹4 LPA

Industry: Education / EdTech / B2B Sales

Employment Type: Full-Time

Job Summary:

We are looking for a highly motivated and energetic Area Sales Manager to drive B2B sales in the school segment across Thrissur and Cochin. The ideal candidate will be responsible for developing new business opportunities, maintaining strong relationships with school decision-makers, and achieving sales targets.

Key Responsibilities:

• Identify and onboard new schools in the assigned territory (Thrissur & Cochin).
• Build and maintain strong relationships with principals, school management, and key decision-makers.
• Pitch educational products/services to schools and ensure timely closures.
• Achieve monthly and quarterly sales targets.
• Conduct product demos and training sessions for clients.
• Work closely with the marketing and operations team to ensure seamless delivery and customer satisfaction.
• Monitor competition and market trends to strategize accordingly.
• Maintain accurate records of sales, client interactions, and follow-ups via CRM tools or reporting formats.

Required Skills & Qualifications:

• Bachelor's degree in any discipline (MBA is a plus).
• 1–4 years of experience in B2B sales, preferably in the education sector or similar.
• Prior experience in school sales will be a strong advantage.
• Excellent communication and interpersonal skills.
• Strong negotiation and presentation abilities.
• Self-driven and target-oriented.
• Willingness to travel locally within assigned areas (Thrissur & Cochin).

Benefits:

• Fixed salary: ₹3.5 – ₹4 LPA (based on experience and interview performance).
• Incentives based on sales performance.
• Travel reimbursement.
• Career growth opportunities in a fast-growing sector.

Job Description: 

Machine Learning / AI Engineer (with 3+ years of experience)

We are seeking a highly skilled and passionate Machine Learning / AI Engineer to join our newly established data science practice area. In this role, you will primarily focus on working with Large Language Models (LLMs) and contribute to building generative AI applications. This position offers an exciting opportunity to shape the future of AI technology while charting an interesting career path within our organization.

Responsibilities:

1. Develop and implement machine learning models: Utilize your expertise in machine learning and artificial intelligence to design, develop, and deploy cutting-edge models, with a particular emphasis on Large Language Models (LLMs). Apply your knowledge to solve complex problems and optimize performance.

2. Building generative AI applications: Collaborate with cross-functional teams to conceptualize, design, and build innovative generative AI applications. Work on projects that push the boundaries of AI technology and deliver impactful solutions to real-world problems.

3. Data preprocessing and analysis: Collect, clean, and preprocess large volumes of data for training and evaluation purposes. Conduct exploratory data analysis to gain insights and identify patterns that can enhance the performance of AI models.

4. Model training and evaluation: Develop robust training pipelines for machine learning models, incorporating best practices in model selection, feature engineering, and hyperparameter tuning. Evaluate model performance using appropriate metrics and iterate on the models to improve accuracy and efficiency.

5. Research and stay up to date: Keep abreast of the latest advancements in machine learning, natural language processing, and generative AI. Stay informed about industry trends, emerging techniques, and open-source libraries, and apply relevant findings to enhance the team's capabilities.

6. Collaborate and communicate effectively: Work closely with a multidisciplinary team of data scientists, software engineers, and domain experts to drive AI initiatives. Clearly communicate complex technical concepts and findings to both technical and non-technical stakeholders.

7. Experimentation and prototyping: Explore novel ideas, experiment with new algorithms, and prototype innovative solutions. Foster a culture of innovation and contribute to the continuous improvement of AI methodologies and practices within the organization.

Requirements:

1. Education: Bachelor's or Master's degree in Computer Science, Data Science, or a related field. Relevant certifications in machine learning, deep learning, or AI are a plus.

2. Experience: A minimum of 3+ years of professional experience as a Machine Learning / AI Engineer, with a proven track record of developing and deploying machine learning models in real-world applications.

3. Strong programming skills: Proficiency in Python and experience with machine learning frameworks (e.g., TensorFlow, PyTorch) and libraries (e.g., scikit-learn, pandas). Experience with cloud platforms (e.g., AWS, Azure, GCP) for model deployment is preferred.

4. Deep-learning expertise: Strong understanding of deep learning architectures (e.g., convolutional neural networks, recurrent neural networks, transformers) and familiarity with Large Language Models (LLMs) such as GPT-3, GPT-4, or equivalent.

5. Natural Language Processing (NLP) knowledge: Familiarity with NLP techniques, including tokenization, word embeddings, named entity recognition, sentiment analysis, text classification, and language generation.

6. Data manipulation and preprocessing skills: Proficiency in data manipulation using SQL and experience with data preprocessing techniques (e.g., cleaning, normalization, feature engineering). Familiarity with big data tools (e.g., Spark) is a plus.

7. Problem-solving and analytical thinking: Strong analytical and problem-solving abilities, with a keen eye for detail. Demonstrated experience in translating complex business requirements into practical machine learning solutions.

8. Communication and collaboration: Excellent verbal and written communication skills, with the ability to explain complex technical concepts to diverse stakeholders

Role Description:

As a QA Engineer for all applications at Radiusagent (both web and mobile), you will conduct comprehensive black box QA testing. You will help engineers and customer service representatives triage difficult bugs, build reproducible test cases and investigate complex issues

Responsibilities

• Independently utilize innovative test methodologies to develop test plans and test strategies.

• You will help design, develop and execute automation scripts. (Appium/Selenium) and extend the automation library and framework.

• You will be working on Selenium/Appium.

• You will be involved in DB testing ( SQL)

• You will work efficiently in a multi-project agile environment

• You will be working on performance, security and scalability testing

• You will be working on troubleshooting apps using analytics data, crash reports, and user error reports.