Experience
6 - 9 yrs
Job Location
Hyderabad, India
Vacancy
1
Designation
Senior Software Engineer
Job Type
ONSITE
Job Description
Senior Software Engineer
What will you be responsible for
- Design, develop, test, and maintain secure, scalable full-stack applications, APIs, integrations, and cloud-native services.
- Deliver well-tested features across front-end, backend, database, and integration layers using modern engineering practices.
- Apply DevOps, CI/CD, source control, automated testing, monitoring, and deployment practices to improve software quality and reliability.
- Collaborate with product owners, architects, senior engineers, data teams, and operations partners to understand requirements and deliver business value.
- Contribute to continuous improvement, secure coding, operational excellence, and responsible use of AI-enabled developer productivity tools.
- Build MLOps and Agentic scenarios for the platform.
What would your day look like
On a typical day, you will build and enhance full-stack features, develop reusable backend services and APIs, create responsive user experiences, write automated tests, troubleshoot issues, support deployments, and collaborate with cross-functional teams to deliver reliable cloud and on-premises solutions that support Providence s mission of Health for a Better World.
Who are we looking for
- B. Tech. or BS in Computer Science, Engineering, or a related field, or equivalent practical experience, with 6 9 years of professional software engineering experience.
- Strong hands-on experience with Microsoft . NET technologies such as C# and . NET Framework/. NET Core, or comparable backend programming experience.
- Front-end development experience with React, Angular, HTML, CSS, JavaScript, and/or TypeScript.
- Experience with SQL databases, relational data modeling, APIs, microservices, source control, unit testing, debugging, and secure coding practices.
- Working knowledge of cloud-native development, Azure or similar cloud platforms, CI/CD pipelines, Docker/Kubernetes exposure, and Agile/Scrum delivery using Azure DevOps and Git.
- Strong problem-solving, communication, collaboration, ownership, learning agility, and ability to work effectively with ambiguity in a fast-paced engineering environment.
- Hands-on experience on building ML and AI Ops scenarios.
No Referrers Available
There are currently no referrers available for this job. You can still apply, will let you know once there is any referrer available.