TechMahindra
https://techmahindra.comAbout
At Tech Mahindra, a culture of driving positive change, celebrating each moment, and empowering all to Rise drives us to dream, do, and become more.
By living our culture, both as individuals and as a team, we establish and advance our presence as a brand that is global, innovative, and caring.
Our culture also leads the way for us to be and become a Company with a Purpose. We try to achieve this by making responsibility personal and adopting sustainability as a way of life at Tech Mahindra.
Read more about us from here: https://www.techmahindra.com/en-in/people/culture/
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Jobs at TechMahindra
The recruiter has not been active on this job recently. You may apply but please expect a delayed response.
Java
Kubernetes|
Must Have: •At least 6+ years in web services development and solid understanding of web technologies in JAVA •Strong Expertise in building & deploying application on any of the major cloud platforms (GCP, AWS, Azure) •Strong expertise with Docker/Kubernetes •Working knowledge of building Micro Services, RESTful web Services using any framework (Spring Boot, JaxRS, Jersey) •Strong Expertise of writing JUnits & How to configure it through maven •Good understanding of NoSQL databases and have worked upon any one of them (HBase, Cassandra, Big query, Mongo) •Good understanding of Message Queues and have worked upon any one of them (Kafka, RabbitMQ, Pub Sub) •Good understanding of Maven, Git •Good understanding of Jenkins, CI/CD architecture •Good understanding of Programming Algorithms and Data Structures •Experience with BDD & Cucumber
Good to Have: •Monitoring experience – Stackdriver or Prometheus or Azure equivalent •Operational readiness – SLI/SLO, DevOps experience •Service mesh – ex: Istio •Any OpenShift experience •Knowledge on Graph technology •Have worked upon any of the big data technologies •Have worked upon tools like white source, Veracode... •Knowledge of Python and Angular •Integration tests using BDD Framework (Cucumber) •Good understanding of Streaming technologies and processing engines (Dataflow, Flink, Spark) •Knowledge of VSTS |
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