Job Summary
Several leading technology, financial services, and enterprise companies are
hiring candidates for software engineering, cloud, cybersecurity, and
technical support roles across India. These opportunities include Software
Engineer, Software Development Engineer, Software Developer, Cloud Developer,
Cloud Security Engineer, Cloud Service Operations Engineer, and Technical
Support Engineer positions. The roles involve software development, cloud
computing, SaaS platforms, DevOps, AI applications, application support, and
enterprise technology operations.
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Job Details - 1
| Company |
PayPal |
| Role |
Software Engineer |
| Location |
Chennai, India |
Job Details - 2
| Company |
PayPal |
| Role |
Software Engineer |
| Location |
Bangalore, India |
Job Details - 3
| Company |
AMD |
| Role |
Software Development Engineer 1 |
| Location |
Bangalore |
Job Details - 4
| Company |
Barclays |
| Role |
Software Developer |
| Location |
Pune |
Job Details - 5
| Company |
HPE |
| Role |
Cloud Developer |
| Location |
Bangalore |
Job Details - 6
| Company |
Invesco |
| Role |
Cloud Security Engineer - I |
| Location |
Hyderabad |
Job Details - 7
| Company |
PTC Inc. |
| Role |
Cloud Service Operations Engineer |
| Location |
Pune |
Job Details - 8
| Company |
Emerson |
| Role |
Technical Support Engineer |
| Location |
Bangalore |
Requirements
- Strong object-oriented programming skills in C#/Java/Python.
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Implements tasks within the Software Development Lifecycle (SDLC), Knowledge
in Inter-Process Communication (IPC) techniques and tools viz: gRPC, REST,
GraphQL protobuf, JSON, etc.
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Hands-on experience in C, C++. Knowledge of Software Engineering principles,
Data structure, algorithms, Operating Systems concepts, and multithread
programming.
- Knowledge of cloud-based SaaS architectures.
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Build and maintain Generative AI and LLM-based applications using modern
orchestration frameworks.
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DevOps and Automation Knowledge. CI/CD tools:Jenkins/GitHub Actions / GitLab
CI/Azure DevOps.
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Cloud Knowledge -Exposure to at least one cloud platform:AWS/Azure/Google
Cloud Platform.
- Knowledge of SRE concepts and operational excellence practices.
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Deploys code and troubleshoots issues in application modules and deployment
environment.
- Knowledge of cloud platforms (AWS/Azure).
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Familiarity with Linux, Windows Server, Apache, Tomcat, Oracle Database, and
SQL.
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Ability to participate in testing, code reviews, debugging, performance
optimization, deployment, and software development lifecycle activities.
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Develop and deploy cloud-native AI solutions on AWS including serverless,
event-driven, and microservices architectures.
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Design, implement, and operate integrations with Windchill, SE tools, Jira,
Jenkins, and test/verification systems using APIs/scheduled sync.
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Own day-to-day SaaS platform operations for Codebeamer and PTC Modeler,
ensuring availability, performance, and stability.