Sales Executive

What you'll work on

* Performance validation of large SaaS platforms

* Load, stress, endurance and spike testing

* Performance testing using K6

* Testing cloud-based systems on AWS

* Identifying bottlenecks and recommending improvements

Skills we’re looking for

* Strong experience in performance / non-functional testing

* Must have Hands-on with AWS and large-scale system testing

* Experience testing applications deployed on AWS

* Understanding of distributed systems and performance metrics

Staff Engineer :

Job Description

Egnyte is seeking an experienced Staff Software Engineer to join our Engineering department. The Engineering department builds large distributed components and services that run Egnyte's Cloud Platform. Our code serves billions of requests per day with sub-second latency in a fault-tolerant environment. We process and analyze millions of files and events daily. Some of the responsibilities for this department include Egnyte's Cloud File System, Content Classification, Content Lifecycle Management, User Behavior Analysis, Object Store, Metadata Stores, Search Systems, Recommendations Systems, Synchronization, and intelligent caching of multi-petabyte datasets. We are looking for candidates with a shared passion for building large-scale distributed systems and a keen sense for tackling complexities that come with scaling through multiple orders of magnitude.

In this role, you will (But are not limited to):

• Design and develop highly scalable and resilient cloud architecture that seamlessly integrates with on-premises systems
• Drive the team’s goals and technical direction to find and pursue technical opportunities that make Egnyte’s cloud platform more efficient
• Effectively communicate complex design and architecture details
• Understand company and industry-wide trends to help develop new technologies
• Conceptualize, develop, and implement changes that prevent key systems from becoming unreliable, under-utilized, or unsupported
• Own all aspects of critical software projects from design to implementation, QA, deployment, and monitoring

Qualifications

• BS, MS, or PhD. in Computer Science or related technical field, or equivalent practical experience
• 8-15 years of professional experience in engineering with a history of technical innovation
• Experience providing technical leadership to engineers

Bonus Qualifications (Good to Have)

• The breadth of knowledge across infrastructure domains, with the ability to reason about everything from data center machine software to database solutions to machine learning infrastructure to front-end web or mobile applications
• Demonstrated success in designing and developing large-scale, complex systems
• Expertise with multi-tenant, highly complex, cloud solutions; experience with Hybrid and/or on-premises solutions desired

About Egnyte

In a content critical age, Egnyte fuels business growth by enabling content-rich business processes, while also providing organizations with visibility and control over their content assets. Egnyte’s cloud-native content services platform leverages the industry’s leading content intelligence engine to deliver a simple, secure, and vendor-neutral foundation for managing enterprise content across business applications and storage repositories. More than 16,000 customers trust Egnyte to enhance employee productivity, automate data management, and reduce file-sharing cost and complexity. Investors include Google Ventures, Kleiner Perkins, Caufield & Byers, and Goldman Sachs. For more information, visit www.egnyte.com

Must Have
- Stack: Wordpress, Javascript

Nice to have
- Experience in Affiliate Marketing and Lead Generation
- Some experience/knowledge in python is preferred.
- Building wireframes

form :https://forms.gle/ncGqEJrJDvEDhXtL7

AI Researcher, Speech & Audio, Intern -

Internship Opportunity at JoshTalks AI Lab

(ai.joshtalks.com)

Location: Gurgaon, India

Type: Full-time Internship (6–12 months)

Who: Final-year engineering students or recent graduates passionate about AI/ML

in speech

About Us

At JoshTalks AI Lab, we believe that voice will be the primary medium of interaction

between man and machine. Our mission is simple yet ambitious:

● Help machines talk like humans.

● Build the benchmarks and datasets that become the backbone of global

progress in speech AI.

● Drive improvements not just through compute or algorithms — but through

high-quality, diverse, real-world data.

Our datasets today power some of the largest and most widely used speech

models in the world (you’ve definitely used them, even if we can’t name them

😉).

What You’ll Work On

This is not a “just another internship.” You’ll be directly contributing to the global

race to perfect speech AI:

1. Benchmarking the world’s speech models

○ Design and run evaluations for ASR and speech-to-speech systems.

○ Create benchmarks that will guide top AI labs on where their models

fail and where they shine.

2. Modeling & Fine-Tuning

○ Fine-tune speech recognition systems (like Whisper/wav2vec2) to push

Word Error Rates toward ~5%.

○ Experiment with multilingual, code-switched, and noisy speech

to mimic real-world conditions.

3. Impact at Scale

○ Your work won’t just sit in a paper. It will influence how the

world’s largest AI models get built, tested, and improved.

Who We’re Looking For

● Final-year undergraduates (B.Tech/B.E.) in CSE, EE, AI/ML, or related fields.

● Strong interest in speech, audio, NLP, or multimodal AI.

● Hands-on experience in one or more of:

○ Fine-tuning speech or language models (Whisper, wav2vec2,

HuBERT, SER, etc.)

○ Building speech-driven projects (assistants, classifiers, chatbots,

SER systems)

○ Working with PyTorch, TensorFlow, or Hugging Face transformers.

● Bonus: past projects on GitHub, Kaggle, or research papers.

Why Join Us

● Ownership: Even as a final-year student, you’ll get the chance to own

problems of global importance — from reducing ASR word error rates toward

5% to building benchmarks that influence how the next generation of

speech-to-speech models are developed. These are not side projects:

the problems you’ll work on may define how billions of people interact

with machines in the future.

● Front-row seat in speech AI: Your work will shape benchmarks and datasets

used by the world’s top model labs.

● Learning: Work with experts solving speech challenges across 20+

Indian languages and noisy, real-world audio.

● Impactful projects: The benchmarks and models you help build will

set direction for global AI progress.

● Startup energy, global scale: Small team, big impact — perfect for ambitious

builders.

● Co-Authorship: If any of the work you contribute to is published as a paper,

benchmark report, or dataset release, you will be credited as a co-author.

This means your contributions won’t just stay inside the lab — they’ll be

visible to the wider research community and part of the academic and

industry record.

Details

● Location: Gurgaon (on-site preferred for collaboration)

● Duration: 6–12 months

● Type: Paid Internship (full-time)

● Start Date: Flexible for final-year students (aligns with academic calendar)

If you’re someone who dreams of making speech AI as natural as human

conversation, this is your chance to work on the real frontier. Super interested?

Job Overview: We are seeking a skilled MERN Stack Developer responsible for designing and developing robust and scalable web applications. The ideal candidate will have a strong understanding of the entire web development process (design, development, and deployment) and be proficient in the MERN stack: MongoDB, Express.js, React.js, and Node.js.

Key Responsibilities:

• Full Stack Development: Design, develop, and deploy full-stack web applications using the MERN stack (MongoDB, Express.js, React.js, Node.js).
• API Development: Build RESTful APIs and integrate them with front-end components.
• Database Management: Design, manage, and optimize MongoDB databases for high-performance and scalability.
• UI/UX Collaboration: Work closely with UI/UX designers to implement responsive and user-friendly interfaces.
• Code Quality: Write clean, maintainable, and efficient code, following best practices and coding standards.
• Testing and Debugging: Perform unit testing, debugging, and integration testing to ensure the quality and functionality of the application.
• Version Control: Use Git for version control and collaborate with other developers on code management.
• Continuous Learning: Stay up-to-date with emerging technologies and best practices in web development and apply them to projects.

Required Skills and Qualifications:

• Proficiency in:
• React.js: Strong understanding of React.js and its core principles, including hooks, state management, and component lifecycle.
• Node.js & Express.js: In-depth knowledge of Node.js and Express.js for server-side development.
• MongoDB: Experience with MongoDB for database design, development, and optimization.
• JavaScript/ES6+: Proficiency in modern JavaScript (ES6+) and understanding of asynchronous programming.

• Define and document best practices and strategies regarding application deployment and infrastructure maintenance.
• Ensure limited system failure and increase up-time and availability of the various company apps.
• Understand the current application infrastructure and strive for making it better.
• Automate infrastructure and develop tools and processes to improve the customer experience and reduce support time.
• Work closely with a team of developers and solution strategists to develop, deploy and troubleshoot the deployment and infrastructure issues.
• Manage full application stacks from the OS through custom applications using Amazon cloud-based computing environments.
• Set up a monitoring stack.
• Implement the application’s CI/CD pipeline using the AWS stack. Increasingly automate and improve the testing plans and development workflows and tools.
• Work closely with the engineers to design networks, systems, and storage environments that effectively reflect business needs, security requirements, and service level requirements.
• Manage a continuous integration/continuous deployment methodology for the server-based technologies.
• Proficient in leveraging CI and CD tools to automate testing and deployment. Experience working in an Agile, fast-paced, DevOps environment.
• Support internal and external customers on multiple platforms.
• First point of contact for handling customer issues, providing guidance and recommendations to increase efficiency and reduce customer incidents.
• Learn on the job and explore new technologies with little supervision.
• In addition to providing customer support, will be responsible for helping build tools and processes necessary for excellent customer outcomes.

Skills:

• Experience with the core AWS services, plus the specifics mentioned in this job description.
• Experience working with at least one of the following languages: Node.js, Python, PHP, Ruby, Kotlin or Java.
• Proficient with Git and Git workflows and hosted enterprise Git solutions like GitHub.
• Ability to troubleshoot distributed systems.
• Experience with. AWS EKS Kubernetes infrastructure setup.
• Experience creating Cloud Formation Template to create Auto Scaling Groups, Route 53, DNS, back-end database, Elastic load balancer, VPCs, Subnets, Security Groups, Cloud Watch, S3, IAM roles, RDS DB instances, and to provide those instances and configure those resources to work together reducing the manual effort.
• Experience in deploying and monitoring microservices on Kubernetes, AWS ECS, and AWS EKS
• Security aware and ensures that all systems are security standards-compliant.
• Good background in Linux/Unix administration.
• Experience with building or maintaining cloud-native applications.
• Minimum 3-5 years of cloud development experience, preferably AWS
• Experience with CI/CD tools like Jenkins preferred.
• Good analytical and communication skills
• Bachelor’s Degree in Computer Science, Engineering or a related technical discipline

Spark / Scala experience should be more than 2 years.

Combination with Java & Scala is fine or we are even fine with Big Data Developer with strong Core Java Concepts. - Scala / Spark Developer.

Strong proficiency Scala on Spark (Hadoop) - Scala + Java is also preferred

Complete SDLC process and Agile Methodology (Scrum)

Version control / Git