Sr. Software Engineer - Java+Python Job

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YASH Technologies Middle East

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Posted 2 days ago • Apply by June 14, 2026

Job Description

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Sr. Software Engineer - Java+Python Job

Date: Mar 16, 2026

Job Requisition Id: 64266

Location:

Pune, IN Pune, MH, IN

YASH Technologies is a leading technology integrator specializing in helping clients reimagine operating models, enhance competitiveness, optimize costs, foster exceptional stakeholder experiences, and drive business transformation.

At YASH, we’re a cluster of the brightest stars working with cutting-edge technologies. Our purpose is anchored in a single truth – bringing real positive changes in an increasingly virtual world and it drives us beyond generational gaps and disruptions of the future.

We are looking forward to hire Java Professionals in the following areas :

Job Description:

Back End Software Engineer (Java+Python+Cloud)

Must Have:

Total working experience as Software / Sr Software Developer with 5-7 years
At least 6+ years in JAVA web services development
At least 2+ years of working experience in Python
At least 3-4 years’ experience in building & deploying application on any of the major Cloud platforms (preferably GCP, Azure)
Working experience in Postgres DB technologies
Working experience in DevOps CICD
Strong expertise with Docker/Kubernetes
Working knowledge of building Micro Services, RESTful web Services using any framework (Spring Boot, JaxRS, Jersey)
Working experience in AI tools for development and unit testing.

Good To Have:

Monitoring experience – Stack driver or Prometheus or Azure equivalent
Operational readiness – SLI/SLO, DevOps experience
Service mesh – ex: Istio
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

At YASH, you are empowered to create a career that will take you to where you want to go while working in an inclusive team environment. We leverage career-oriented skilling models and optimize our collective intelligence aided with technology for continuous learning, unlearning, and relearning at a rapid pace and scale.

Our Hyperlearning workplace is grounded upon four principles