

Sadup Softech
https://sadupsoft.comAbout
Job role : Golang developer
Experience: 2-5yrs
Location : Bangalore (Hybrid)
Job description :
Golang Engineer - Bangalore
Must have skills2 to 3 years Golang Unix / Linux commands Shell Scripting
* Working experience in building massively scalable high-performance services.
* Excellent problem-solving skills.
* 2-3 years of expertise in GO language (mandatory).
* Expertise in shell scripting.
* Strong Linux systems knowledge.
* Strong working knowledge in Kubernetes is a plus.
* Strong understanding of fundamental distributed system principles.
Connect with the team
Jobs at Sadup Softech
Company: Paytm
Role: Field sales executive
Location: Hyderabad , Andhra Pradesh
Experience: 1-3 years in sales (QR Payments, POS, Merchant Acquiring)
Salary: ₹18,000 to ₹25,000 (Performance-based)
Positions Available: 25
🌟 Are you passionate about sales, self-motivated, and ready to grow your career with India’s leading fintech company? This is your opportunity!
Key Responsibilities:
🔹 Promote and sell Paytm’s products (QR Codes, POS Machines, Sound Boxes, Business Loans)
🔹 Achieve monthly sales targets and earn exciting incentives
🔹 Build and maintain strong relationships with merchants and clients
🔹 Ensure stock availability at stockists and retailers
💼 Why Join Us?
Competitive salary with performance-linked incentives
Opportunity to work with a dynamic and innovative team
Gain experience in the fast-growing fintech industry

The recruiter has not been active on this job recently. You may apply but please expect a delayed response.


Full Stack Java Software Engineer
Remote
Experience: 5+yrs
Must have Skills :
Java,AI/ML
kotlin,scala
PyCharm, VS Code
IntelliJ & Web Consoles

The recruiter has not been active on this job recently. You may apply but please expect a delayed response.
Java back end developer
Chennai
3+yrs
3 to 5 years Java,
Sprint Boot, Hibernate,
REST API Design Patterns SQL,
Oracle,
Table design

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Designation: Java developer
Experience :5+yrs
Job location:Chennai/Bangalore (Hybrid)
Must have skills
6 to 8 Years of Total experience as a Java Developer. Java and Raptor experience is mandatory,
Unit Testing and Functional testing are good
.Immediate Joiners are preferred

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PayPal is Hiring !!
Designation: Java back-end developer
Experience:3-7yrs
Location: Chennai, Tamilnadu (Work from OFFICE)
Job description :
Must have skills
3 to 5 years
Java, Spring Boot, Hibernate, REST API
Design Patterns
SQL, Oracle, Table design

The recruiter has not been active on this job recently. You may apply but please expect a delayed response.


Designation : Java developer
Experience : 6yrs
Must have skills
6 to 8 years
Java, JEE, Spring Boot, Microservices, REST
Good knowledge of data structures and algorithm concepts

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Must have skills :
6+ Years Java, Spring - 4+ years, Node JS / React JS - 4+ years
Responsibilities:
Code, test and debug programs according to specifications.
Build new and modifying existing applications.
Develop software prototypes.
Write unit tests and functional tests (automation).
Perform manual tests.
Use tools to access data in datastore, version control systems, etc.
Practice Agile methodologies.
Frequently interface with other functional teams on all aspects of a feature or sub-system

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Must have skills
3 to 6 years
Data Science
SQL, Excel, Big Query - mandate 3+ years
Python/ML, Hadoop, Spark - 2+ years
Requirements
• 3+ years prior experience as a data analyst
• Detail oriented, structural thinking and analytical mindset.
• Proven analytic skills, including data analysis and data validation.
• Technical writing experience in relevant areas, including queries, reports, and presentations.
• Strong SQL and Excel skills with the ability to learn other analytic tools
• Good communication skills (being precise and clear)
• Good to have prior knowledge of python and ML algorithms

The recruiter has not been active on this job recently. You may apply but please expect a delayed response.
Job Description:
We are seeking a talented Machine Learning Engineer with expertise in software engineering to join our team. As a Machine Learning Engineer, your primary responsibility will be to develop machine learning (ML) solutions that focus on technology process improvements. Specifically, you will be working on projects involving ML & Generative AI solutions for Technology & Data Management Efficiencies such as optimal cloud computing, knowledge bots, Software Code Assistants, Automatic Data Management etc
Responsibilities:
- Collaborate with cross-functional teams to identify opportunities for technology process improvements that can be solved using machine learning and generative AI.
- Define and build innovate ML and Generative AI systems such as AI Assistants for varied SDLC tasks, and improve Data & Infrastructure management etc.
- Design and develop ML Engineering Solutions, generative AI Applications & Fine-Tuning Large Language Models (LLMs) for above ensuring scalability, efficiency, and maintainability of such solutions.
- Implement prompt engineering techniques to fine-tune and enhance LLMs for better performance and application-specific needs.
- Stay abreast of the latest advancements in the field of Generative AI and actively contribute to the research and development of new ML & Generative AI Solutions.
Requirements:
- A Master's or Ph.D. degree in Computer Science, Statistics, Data Science, or a related field.
- Proven experience working as a Software Engineer, with a focus on ML Engineering and exposure to Generative AI Applications such as chatGPT.
- Strong proficiency in programming languages such as Java, Scala, Python, Google Cloud, Biq Query, Hadoop & Spark etc
- Solid knowledge of software engineering best practices, including version control systems (e.g., Git), code reviews, and testing methodologies.
- Familiarity with large language models (LLMs), prompt engineering techniques, vector DB's, embedding & various fine-tuning techniques.
- Strong communication skills to effectively collaborate and present findings to both technical and non-technical stakeholders.
- Proven ability to adapt and learn new technologies and frameworks quickly.
- A proactive mindset with a passion for continuous learning and research in the field of Generative AI.
If you are a skilled and innovative Data Scientist with a passion for Generative AI, and have a desire to contribute to technology process improvements, we would love to hear from you. Join our team and help shape the future of our AI Driven Technology Solutions.

The recruiter has not been active on this job recently. You may apply but please expect a delayed response.


Job role : Java full stack developer
Experience : 3-7yrs
Location : Chennai
Must have
6+ total years of experience
Primarily frontend - 65% (4+ years of very strong relevant experience with Java script and ReactJS) - mandate
Backend - 35% (2.5+ years of very strong relevant experience with Java, Spring Boot
Database - very very mandate (Relational Database - MySQL, PostgreSQL, MongoDB).
Mainly looking for a candidate who has a very strong hands on, great exposure to the above mentioned skills.
Chennai(Daily to be reported to office)
Requirements
Strong expertise in front-end technologies such as HTML, CSS, JavaScript, and modern frameworks like
ReactJS
Solid understanding of server-side languages and frameworks such as Java/Spring Boot.
Experience with relational and non-relational databases (e.g., MySQL, PostgreSQL, MongoDB) and data
modeling principles.
Excellent problem-solving skills, attention to detail, and ability to thrive in a fast-paced, collaborative
environment.
Effective communication skills and ability to articulate technical concepts to both technical and non-
technical stakeholders

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Shoppin' - if Pinterest and Google had an AI-powered baby 🍓
Here’s why:
shoppin' isn't just another AI powered tech platform.
we’re crafting a groundbreaking fashion search and shopping platform, one that outshines Google’s search capabilities, offers more intuitive recommendations than Pinterest, and engages users more deeply than Instagram’s feeds.
Our vision is bold — we’re not just building a foundational ai for fashion; we're aiming for the stars with a full-fledged fashion AGI.
Achieving such heights demands a remarkable team. Over the past month, our office has buzzed with energy and ideas, pushing us closer to crafting a user experience that feels as natural as it is innovative.
🚀 We have raised a funding of $1M pre-seed and will be raising another round very soon. Our aim is built the best founding team out there and we are scaling up our hiring efforts rapidly.
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Indee, founded in 2014 and headquartered in West Hollywood, California, is a cutting-edge entertainment technology company that solves content security, management, and distribution challenges for the world's largest entertainment companies. With clients including Netflix, Disney, Paramount Pictures, Lionsgate, Showtime, and Comedy Central, Indee provides a one-stop solution for production houses, OTT platforms, television networks, and guilds. The company's proprietary security layer and unmatched analytics have led to impressive growth, with a 10X increase in revenue and a 400X growth in the number of screenings over the last three years. Indee specializes in SaaS, content distribution, media security, 4K streaming, global distribution screenings, and forensic watermarking, making it a crucial player in the entertainment industry's digital ecosystem.
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Joining the team behind the world’s most trusted artifact firewall isn’t just a job - it’s a mission.
🧩 What the Company Does
This company provides software tools to help development teams manage open-source code securely and efficiently. Its platform covers artifact management, automated policy enforcement, vulnerability detection, software bill of materials (SBOM) management, and AI-powered risk analysis. It's used globally by thousands of enterprises and millions of developers to secure their software supply chains.
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- Early on, the company took over stewardship of a widely used public code repository.
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- Has blocked hundreds of thousands of malicious open-source packages and helped companies catch risky components before deployment.
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