Embitel Technologies
Devops Engineer ( V&V)
Skills
20 days ago
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Important information
Contract type:
Permanent
Location:
Bengaluru, Karnataka, India
Work mode:
Onsite
Published on:
30 September 2026
What they need
Job Summary
The Software Engineering Integration Engineer is responsible for designing, developing, and integrating the software foundation that enables end-to-end Agentic AI workflows within the Verification Validation (VV) ecosystem. The role focuses on connecting AI agents, enterprise engineering systems, data platforms, and cloud services into a secure, scalable, and production-ready solution. The position ensures seamless interoperability between Microsoft AI platforms, Azure Databricks, and engineering toolchains while establishing robust software engineering, integration, and operational practices that support industrialized AI-driven VV processes.
Responsibilities
- Design, develop, and maintain Python-based applications and services supporting Agentic AI workflows.
- Develop reusable APIs, tools, and service interfaces for AI agents and enterprise engineering systems.
- Integrate test management, requirements management, defect tracking, and collaboration platforms into end-to-end workflows.
- Implement secure and scalable integrations between Microsoft AI platforms, Azure Databricks, and enterprise applications.
- Establish CI/CD pipelines and apply DevOps best practices to accelerate solution delivery.
- Implement monitoring, logging, observability, and operational support capabilities.
- Ensure security, reliability, maintainability, and compliance of software solutions and integrations.
Skills
- Strong experience in Python software development and software architecture.
- Proven expertise in API design, system integration, and service-oriented architectures.
- Experience with cloud-native application development and Microsoft Azure services.
- Hands-on experience with Git, DevOps methodologies, and CI/CD pipelines.
- Knowledge of authentication, authorization, Microsoft Entra ID, and OAuth2.
- Experience with monitoring, observability, and operational excellence practices.
Requirements
- Familiarity with Agentic AI platforms, Verification Validation processes, or automotive engineering environments is an advantage.
Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.
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