ASP/C#

Job Description

We are looking for an experienced GCP Cloud Engineer to design, implement, and manage cloud-based solutions on Google Cloud Platform (GCP). The ideal candidate should have expertise in GKE (Google Kubernetes Engine), Cloud Run, Cloud Loadbalancer, Cloud function, Azure DevOps, and Terraform, with a strong focus on automation, security, and scalability.

Work location: Pune/Mumbai/Bangalore

Experience: 4-7 Years 

Joining: Mid of October

You will work closely with development, operations, and security teams to ensure robust cloud infrastructure and CI/CD pipelines while optimizing performance and cost.

Key Responsibilities:

1. Cloud Infrastructure Design & Management

· Architect, deploy, and maintain GCP cloud resources via terraform/other automation.

· Implement Google Cloud Storage, Cloud SQL, file store, for data storage and processing needs.

· Manage and configure Cloud Load Balancers (HTTP(S), TCP/UDP, and SSL Proxy) for high availability and scalability.

· Optimize resource allocation, monitoring, and cost efficiency across GCP environments.

2. Kubernetes & Container Orchestration

· Deploy, manage, and optimize workloads on Google Kubernetes Engine (GKE).

· Work with Helm charts, Istio, and service meshes for microservices deployments.

· Automate scaling, rolling updates, and zero-downtime deployments.

3. Serverless & Compute Services

· Deploy and manage applications on Cloud Run and Cloud Functions for scalable, serverless workloads.

· Optimize containerized applications running on Cloud Run for cost efficiency and performance.

4. CI/CD & DevOps Automation

· Design, implement, and manage CI/CD pipelines using Azure DevOps.

· Automate infrastructure deployment using Terraform, Bash and Power shell scripting

· Integrate security and compliance checks into the DevOps workflow (DevSecOps).

Required Skills & Qualifications:

✔ Experience: 4+ years in Cloud Engineering, with a focus on GCP.

✔ Cloud Expertise: Strong knowledge of GCP services (GKE, Compute Engine, IAM, VPC, Cloud Storage, Cloud SQL, Cloud Functions).

✔ Kubernetes & Containers: Experience with GKE, Docker, GKE Networking, Helm.

✔ DevOps Tools: Hands-on experience with Azure DevOps for CI/CD pipeline automation.

✔ Infrastructure-as-Code (IaC): Expertise in Terraform for provisioning cloud resources.

✔ Scripting & Automation: Proficiency in Python, Bash, or PowerShell for automation.

✔ Security & Compliance: Knowledge of cloud security principles, IAM, and compliance standards.

About Wissen Technology

Wissen Technology, established in 2015 and part of the Wissen Group (founded in 2000), is a specialized technology consulting company. We pride ourselves on delivering high-quality solutions for global organizations across Banking & Finance, Telecom, and Healthcare domains.

Here’s why Wissen Technology stands out:

Global Presence: Offices in US, India, UK, Australia, Mexico, and Canada.

Expert Team: Wissen Group comprises over 4000 highly skilled professionals worldwide, with Wissen Technology contributing 1400 of these experts. Our team includes graduates from prestigious institutions such as Wharton, MIT, IITs, IIMs, and NITs.

Recognitions: Great Place to Work® Certified.

Featured as a Top 20 AI/ML Vendor by CIO Insider (2020).

Impressive Growth: Achieved 400% revenue growth in 5 years without external funding.

Successful Projects: Delivered $650 million worth of projects to 20+ Fortune 500 companies.

For more details:

Website: www.wissen.com 

Wissen Thought leadership : https://www.wissen.com/articles/ 

LinkedIn: Wissen Technology

Job Summary:

We are hiring a Data Scientist – Gen AI with hands-on experience in developing Agentic AI applications using frameworks like LangChain, LangGraph, Semantic Kernel, or Microsoft Copilot. The ideal candidate will be proficient in Python, LLMs, and prompt engineering techniques such as RAG and Chain-of-Thought prompting.

Key Responsibilities:

• Build and deploy Agent AI applications using LLM frameworks.
• Apply advanced prompt engineering (Zero-Shot, Few-Shot, CoT).
• Integrate Retrieval-Augmented Generation (RAG).
• Develop scalable solutions in Python using NumPy, Pandas, TensorFlow/PyTorch.
• Collaborate with teams to deliver business-aligned Gen AI solutions.

Must-Have Skills:

• Experience with LangChain, LangGraph, or similar (priority given).
• Strong understanding of LLMs, RAG, and prompt engineering.
• Proficiency in Python and relevant ML libraries.

Nice-to-Have:

• Wrapper API development for LLMs.
• REST API integration within Agentic workflows.

Qualifications:

• Bachelor’s/Master’s in CS, Data Science, AI, or related.
• 4–7 years in AI/ML/Data Science, with 1–2 years in Gen AI/LLMs.

Background :

Praan (Praan, Inc.) is an impact-focused deep-tech startup democratising clean air using breakthrough filterless technology. The company is backed by top-tier VCs and CXOs globally and currently operates between the United States and India. Our team puts extreme attention to detail and loves building technology that's aspirational. Praan's team and culture is positioned to empower people to solve large global problems at an accelerated pace.

Why :

Everyone worries about the doomsday in climate change which is expected to occur in the 2050s. However, there's one doom's day which is the reality for millions of people around the world today. Air pollution takes more than 7 Million lives globally every single year. Over 5% of premature child deaths occur due to air pollution in developing countries. Everyone has relied on governments or experts to solve the problem, but most solutions up until today have either been too expensive or too ineffective. Praan is an attempt to make the future cleaner, healthier, and safer for the generations to come.

Job Description :

• Create B2B target lists and prospect lists for Praan's MKII or HIVE product lines
• Conduct outbound prospecting activities, including cold calling, emailing, and networking, to generate new leads and opportunities.
• Research and identify key decision-makers within target industries and companies to pitch our products and solutions.
• Engage with prospects to understand their business needs, challenges, and pain points, and effectively communicate how our offerings can address their requirements.
• Develop and maintain a deep understanding of our products, services, and competitive positioning to effectively articulate our value proposition.
• Qualify leads based on predefined criteria to ensure alignment with our target market and ideal customer profile.
• Effectively communicate the features, benefits, and value of our products and solutions to prospects.
• Build and nurture relationships with prospects through consistent follow-up and engagement strategies.
• Coordinate and schedule meetings between qualified leads and our CEO or other key stakeholders.
• Provide regular updates and reports on lead generation activities, pipeline status, and conversion metrics.

Skill Requirements :

• Bachelor's degree in Business Administration, Marketing, or related field.
• Proven track record of success in a sales or lead generation role in a B2B environment.
• Strong sales acumen with excellent communication and negotiation skills.
• Ability to build rapport quickly with diverse stakeholders, including C-level executives and decision-makers.
• Demonstrated experience conducting outbound prospecting activities, including cold calling, emailing, and networking.
• Proficiency in Microsoft Office Suite.
• Results-oriented mindset with a focus on achieving and exceeding sales targets and goals.

Praan is an equal-opportunity employer and does not discriminate based on race, religion, caste, gender, disability or any other criteria. We just care about working with great human beings!

Position name : Full Stack Developer

Job location : Bangalore

Mandatory Skills : NodeJS, Typescript, Javascript, MySQL, VueJS

Job Requirements :

Must have strong and up-to-date knowledge of NodeJS and class-based programming.

Professional experience building single page applications using React, Vue.js.

Must have strong and up-to-date knowledge of JavaScript ES6 and higher.

You can make a solid relational data model and have a deep knowledge of SQL and MySQL.

You have a good understanding of HTTP and know how to make a reliable and modern web API (REST).

Should have worked on at least one large complex web application.

You Should know how to write clean and flexible object-oriented code.

You must have a good understanding of sync programming concepts.

You Should work daily with tools like Git, NPM, Composer and a proper IDE.

You Should able to deliver POCs, experiments and technology evaluations following design thinking practices.

Should have experience in writing the clean code and a pragmatic program.

Technical Competencies

• Strong Java/J2EE development experience with demonstrated ability to develop and troubleshoot large mission applications & Software Products
• Experience on exception handling, correct use of data structures, multi-threaded programming, memory management and application tuning
• Excellent exposure in Object Oriented Design skills using Java/J2ee along with:
• Core Java Language (Collections, Concurrency/Multithreading)
• JDBC concepts (connection pooling, statement, result set)
• Web Technologies (Struts/Struts 2, Spring (IOP, MVC, AOP), Hibernate, JSP, Web services)
• Database optimization and profiling
• Core/JEE/Integration Design patterns/UML
• Should have experience in Unit Testing
• Good hands on experience with RDBMS like MySQL/Oracle with ability to write SQL Queries/Stored Procedures/Triggers/Joins/View etc
• Practical application of software product development standards and methodologies including Agile, XP, Kanban, RUP and UML
• Ability to apply design patterns consistently and also accurate when building per design requirements
• Good experience in source control, unit testing, code verification, documentation, automated build, continuous integration, metrics, and code reviews.
• Demonstrated problem solving, analytic and troubleshooting skills.
• Strong written and oral communication skills are required to effectively engage internal stakeholders and their technical representatives.