45 Job openings found

2 Opening(s)
3.0 Year(s) To 7.0 Year(s)
10.00 LPA TO 20.00 LPA
We are looking for an experienced Node.js developers to build Blockchain based fantasy sports application. No prior experience in Crypto or Blockchain is required but if you have experience with the same then that’s definitely a huge plus. At least 4 years of software development experience. At least 2 years of experience ...
3 Opening(s)
4.0 Year(s) To 10.0 Year(s)
8.00 LPA TO 18.00 LPA
Skill Requirement: Experience in working with Docker and Kubernetes Experience in developing Continuous Integration/ Continuous Deployment pipelines (CI/CD) with tools like Spinnaker Experience working with  Container Network Interface (CNI) plugins like Calico Experience working with service mesh like Istio Experience in scripting, Git and Git workflows Knowledge of any container optimized OS like Fedora CoreOS Knowledge of Cloud ...
5 Opening(s)
3.0 Year(s) To 4.0 Year(s)
8.00 LPA TO 18.00 LPA
Responsibilities:   - Design and Build backend of High-Availability scalable systems. - Able to integrate and work with multiple data sources / databases  and creating data pipelines - Building server-side logic that powers our APIs in production systems on AWS that can scale. - Collaborate with other team members to engineer creative solutions to unique ...
1 Opening(s)
3.0 Year(s) To 6.0 Year(s)
Not Disclosed by Recruiter
Task: ? Need to run our software products in different international environments (on premise and cloud providers)? Support the developers while debugging issues? Analyse and monitor software during runtime to find bugs, performance issues and plan growth of the system? Integrate new technologies to support our products while growing in the ...
5 Opening(s)
3.0 Year(s) To 7.0 Year(s)
4.00 LPA TO 9.00 LPA
Jon Description Job title Location Experience Budget Data Analyst - Python CHENNAI 3 – 7 Yrs till 9 lpa   Work Scope:      Use statistical analysis, machine learning, pattern recognition, and data visualization along with domain knowledge and subject-specific models to solve science, engineering, and commercial problems Solve challenging data science problems by developing novel and/or adapting existing computational methods Debugging and performance tweaking ...

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