Microsoft22.05.2026
Software Engineer
Hyderabad
Обязанности
- 01Design and implement scalable, reliable, and secure solutions using microservices, event-driven architecture, and cloud-native platforms.
- 02Develop and maintain CI/CD pipelines using Azure DevOps, integrating AI/ML, LLMs, and agentic AI capabilities for predictive diagnostics, self-healing pipelines, and intelligent automation.
- 03Build reusable frameworks, components, and accelerators that enable faster development and higher quality engineering outcomes.
- 04Apply best practices in CI/CD, infrastructure-as-code, observability, and debugging to ensure efficient and resilient software delivery.
- 05Leverage LLMs, copilots, and agent-based architectures to automate workflows, enhance decision-making, and improve engineering productivity.
- 06Drive rapid prototyping and Proof of Concepts (PoCs) using emerging AI technologies, including generative AI and autonomous agents.
- 07Collaborate across engineering, data, and HR domains to build AI-powered solutions that enhance employee experience and operational efficiency.
Требования
- 01Bachelor's Degree in Computer Science or related technical field AND 2+ years technical engineering experience with coding in languages including, but not limited to, C# or Python and Spark, SQL. OR equivalent experience.
- 02Hands-on experience with using Agentic AI, LLM technologies as well as data analytics tools
- 03Good data visualization skills to be able to present insights that drive business impact.
- 04Knowledge of AI/ML, LLM usecase of data engineering process a significant plus
- 05Bachelor's Degree in Computer Science OR related technical field AND 4+ years technical engineering experience with coding in languages including, but not limited to, C#, Spark and SQL OR Python OR Master's Degree in Computer Science or related technical field AND 2+ years technical engineering experience with coding in languages including, but not limited to, C# or Python and Spark, SQ OR equivalent experience.
- 06Experience of Service Tree, DevOps, LLM usage
- 07Experience of working with Global teams and multiple stakeholders
- 08Experience of building models and operationalizing them in production.