Role Summary

As a Software Engineer 2 - AI & MLOps, you will design, build, deploy, and support secure, scalable, cloud-native applications and AI-enabled services. You will combine strong software engineering fundamentals with MLOps, automation, observability, and production reliability practices.

Key Responsibilities

- Develop backend microservices, REST APIs, and AI-enabled solutions using C#, .NET, Python.
- Build and support AIOps workflows for deployment, validation, monitoring, and governance.
- Create automated CI/CD pipelines with quality, security, and production-readiness controls.
- Implement application and AI observability through logs, metrics, traces, alerting.
- Collaborate with architecture, data, product, security, platform, and operations teams to deliver reliable solutions.
- Participate in design and code reviews, testing, sprint planning, production support, and continuous improvement.

Required Qualifications

- Bachelor's degree in Computer Science or a related field, or equivalent experience.
- 3-5 years of professional software engineering experience.
- Robust programming skills in one or more of C#, .NET, or Python.
- Experience with microservices, REST APIs, cloud-native applications, relational databases, data modeling,



and query optimization.
- Knowledge of object-oriented design, design patterns, clean code, automated testing, Git, and Agile/Scrum practices.
- Foundational understanding of AI/ML concepts and exposure to model lifecycle or MLOps practices.
- Strong debugging, problem-solving, ownership, communication, and cross-functional collaboration skills.

Preferred Qualifications

- Hands-on experience with Azure, infrastructure as code, or event-driven systems.
- Exposure to Azure AI, Azure Machine Learning, Azure OpenAI, or comparable platforms.
- Familiarity with Application Insights, Azure Monitor, Log Analytics, responsible AI, privacy, and secure development.

What Success Looks Like

You consistently deliver secure, maintainable software help move AI-enabled solutions from design to production support reliable model deployment and monitoring resolve ambiguity and complex issues and improve platform reliability through automation and collaboration.

Equal Opportunity: Providence is proud to be an Equal Opportunity Employer and values diverse backgrounds, experiences, abilities, and perspectives.

📌 Software Engineer 2 (India)
🏢 Providence India
📍 India