Zenius IT Services Pvt Ltd

Core Skills to Look For:

• Frontend: React (major), HTML, CSS, JavaScript, TypeScript
• Backend: Python, C#, .NET, Node.js
• Databases: MySQL, MongoDB, Redis, Vector DB (Weaviate a plus)
• APIs: RESTful API design & integration
• DevOps / Deployment: Docker, Kubernetes
• Other: Full stack development, scalable web apps, problem-solving, ownership, team collaboration.

Required Skills & Qualifications

• 3 to 5 years of professional experience as a Full Stack Developer.
• Strong expertise in front-end technologies: HTML, CSS, JavaScript, React (preferred), Angular, or Vue.js.
• Hands-on experience with back-end technologies: Python, C#, .NET, Node.js.
• Strong programming skills in TypeScript.
• Proven experience in database design and modeling using SQL (MySQL) and NoSQL (MongoDB, Redis).
• Familiarity with Vector Databases (e.g., Weaviate) is a strong plus.
• Experience with RESTful APIs and scalable web application architecture.
• Exposure to Docker and Kubernetes for containerization and deployment.
• Solid understanding of software engineering principles, best practices, and design patterns.
• Strong problem-solving skills with the ability to step out of comfort zones and learn new technologies.
• Excellent communication and collaboration skills.
• Strong execution discipline with complete ownership of deliverables.

About the Role:

We are looking for a highly skilled Full-Stack Developer with expertise in .NET Core, to develop and maintain scalable web applications and microservices. The ideal candidate will have strong problem-solving skills, experience in modern software development, and a passion for creating robust, high-performance applications.

Key Responsibilities:

Backend Development:

• Design, develop, and maintain microservices and APIs using.NET Core. Should have a good understanding of .NET Framework.
• Implement RESTful APIs, ensuring high performance and security.
• Optimize database queries and design schemas for SQL Server / Snowflake / MongoDB.

Software Architecture & DevOps:

• Design and implement scalable microservices architecture.
• Work with Docker, Kubernetes, and CI/CD pipelines for deployment and automation.
• Ensure best practices in security, scalability, and performance.

Collaboration & Agile Development:

• Work closely with UI/UX designers, backend engineers, and product managers.
• Participate in Agile/Scrum ceremonies, code reviews, and knowledge-sharing sessions.
• Write clean, maintainable, and well-documented code.

Required Skills & Qualifications:

• 3+ years of experience as a Full-Stack Developer.
• Strong experience in .NET Core, C#.
• Proficiency in React.js, JavaScript (ES6+), TypeScript.
• Experience with RESTful APIs, Microservices architecture.
• Knowledge of SQL / NoSQL databases (SQL Server, Snowflake, MongoDB).
• Experience with Git, CI/CD pipelines, Docker, and Kubernetes.
• Familiarity with Cloud services (Azure, AWS, or GCP) is a plus.
• Strong debugging and troubleshooting skills.

Nice-to-Have:

• Experience with GraphQL, gRPC, WebSockets.
• Exposure to serverless architecture and cloud-based solutions.
• Knowledge of authentication/authorization frameworks (OAuth, JWT, Identity Server).
• Experience with unit testing and integration testing.

Role Overview:

A Generative AI Engineer specializes in designing, developing, and managing AI systems capable of autonomously generating content such as text, images, and music. These engineers leverage deep learning and machine learning techniques to train AI models on large datasets, enabling the creation of new, original content that mimics human-like creativity.

Key Responsibilities:

• Design and Develop AI Models: Create and optimize generative models such as Generative Adversarial Networks (GANs) and Variational Autoencoders (VAEs)
• Natural Language Processing (NLP): Work extensively with NLP to create and refine models that understand and generate human language
• Data Management: Manage and integrate large datasets to train generative AI models, including data pre-processing and augmentation
• Prototype New Applications: Lead the ideation and prototyping of new AI applications and systems
• System Architecture: Design and implement the architecture for AI systems to ensure scalability and efficiency.

Key Skills:

• Programming: Advanced knowledge of programming languages such as Python, and proficiency with AI-centric libraries like TensorFlow, PyTorch, and Keras.
• Generative Models: Expertise in developing and optimizing GANs, VAEs, and other generative models.
• NLP Techniques: Familiarity with text parsing, sentiment analysis, and transformer models like GPT.
• Data Handling: Strong skills in data pre-processing, augmentation, and synthetic data generation.
• Problem-Solving: Ability to tackle complex, creative challenges using AI.
• Preferred Qualifications:
• Education: Bachelor’s or master’s degree in computer science, AI, Machine Learning, or a related field.
• Experience: Proven experience in developing and deploying generative AI models.
• Soft Skills: Creativity, strong analytical skills, and the ability to work collaboratively in a team environment.

Overview:

We are seeking a highly skilled and experienced Senior QA Engineer/SDET to join our team. The ideal candidate will have a strong background in performance testing methodologies and tools, particularly JMeter, or Gatling, or k6.io. Additionally, proficiency in test automation using Selenium WebDriver with Java, Cucumber, JUnit, TestNG, or Playwright is essential. The candidate should have a proven track record of working on complex projects and possess excellent communication and collaboration skills.

Responsibilities:

• Design, develop, execute, and analyze performance tests for web applications using JMeter, Gatling, or k6.io.
• Create realistic test scenarios, scripts, and workload models to simulate various user activities and system loads.
• Conduct performance tuning and optimization activities to identify bottlenecks and improve system responsiveness, throughput, and scalability.
• Collaborate with development teams to analyze performance test results, diagnose issues, and propose solutions.
• Develop and maintain performance test scripts, frameworks, and tools to automate test execution and result analysis.
• Participate in architectural and design discussions to ensure performance requirements are considered from the early stages of development.
• Collaborate with cross-functional teams to integrate performance testing into the continuous integration and delivery pipelines.

Requirements:

• Bachelor’s degree in computer science engineering, or related field.
• 4-7 years or more of experience in performance testing and test automation.
• Strong proficiency in performance testing tools such as JMeter or Gatling or k6.io.
• Hands-on experience in designing and executing performance test scenarios for web applications and backend API’s.
• In-depth knowledge of performance testing methodologies, best practices, and performance metrics.
• Proficiency in test automation using Selenium WebDriver with Java, Cucumber, JUnit, TestNG, or Playwright.
• Experience in performance tuning and optimization techniques to improve system performance.
• Solid understanding of web technologies, protocols, and architecture.
• Excellent analytical and problem-solving skills with a keen attention to detail.
• Strong communication and collaboration skills with the ability to work effectively in a team environment.
• Proven ability to manage multiple priorities and deliver results in a fast-paced, dynamic environment.
• Experience working in Agile/Scrum development methodologies is a plus.