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Amazon Web Services (AWS)- Strong experience in Python scripting and automation frameworks (Pytest and Robot)
- Basic knowledge in SQL servers and queries, REST API calls.
- Jira, and any test management tools.
- Knowledge in data/ETL domain is an added advantage.
- Familiarity with CI/CD tools like Jenkins.
We would love to have you onboard, if- You know your algorithms- You are aware of data structures- You can code in python- You have good experience in finding bugs and defects and issues in a software- You understand the dynamics of working in a diverse team and if you are able to effectively communicate with your peers- You take a problem as a challenge, and not as a road-blockAnd most of all, if you are a problem solver and if you love to code.
The recruiter has not been active on this job recently. You may apply but please expect a delayed response.
Python
JenkinsResponsibilities:
- Provide daily support with resolution of escalated tickets and act as liaison to business and technical leads to ensure issues are resolved in timely manner.
- Incident resolution and supporting production system deployments.
- Suggest fixes to complex issues by doing a thorough analysis of root cause and impact of the defect.
- Support and deliver within Continuous Integration/Continuous Delivery pipelines.
- Prioritise workload, providing timely and accurate resolutions.
- Perform production support activities which involve assignment of issues and issue analysis and resolution within the specified SLAs.
- Understand linux. SSH to linux box, look for web logs etc
- Understand web apps to be able to troubleshoot issues
Requirements:
- Good to have programming experience with Python.
- Java and JavaScript development experience would be an added advantage.
- You should not be afraid to do some development as well as Devops.
- Clear written and oral communication is a must.
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Founded in 2016, HyperWorks Imaging has more than 40 years of collective research experience in AI/ML, materials, energy, experimentation and modeling. Our data scientists and software engineers have deployed cutting edge machine learning solutions for leading clean energy companies to improve their R&D and manufacturing processes.
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