Backend and Algorithms Engineer
Ingersoll Rand Inc. (company site, opens in a new tab)4+ yrsBengaluruOn-siteDirect career pageEst. 15–28 LPA
Posted on 25 Sept
Reach people at Ingersoll Rand Inc.
People at this company you can reach
Log in to see who works here
Create a free account or log in to see the people at Ingersoll Rand Inc. you could write to:
- Recruiters & HR
- People in this function
- Work addresses
Your match
Against your primary resume
Log in to see your match score
Create a free account or log in to unlock your CV match score across:
- Role fit
- Experience
- Industry relevance
Protocol Intelligence
How competitive this role is
Competition
Background fit
Strictness
Log in to see why each signal reads the way it does.
Job description
Structured overview of role & requirements
About This Role
- Own end-to-end development and deployment of algorithms controlling compressor behavior, ensuring operational stability, safety, and performance.
- Build and maintain production-grade Python services with a focus on high test coverage, type safety, and reliability.
- Translate real-world sensor data into optimization and control logic that reduces energy consumption and operational costs.
Minimum Requirements
- Minimum 4+ years of experience building and shipping production Python systems with type-hinted code and schema-first data models.
- Strong proficiency in test-first development practices with reusable test fixtures and high test coverage as established standard.
- Demonstrated ability to manage a service lifecycle: containerization, automated deployment pipelines, and operation within multi-service infrastructures.
- Working knowledge of relational databases and at least one caching or eventing layer in production environments.
Ideal Candidate Profile
- Experienced individual contributor comfortable with rigorous engineering disciplines and automated verification workflows.
- Skilled in designing and implementing optimization or control algorithms for physical systems under real-world constraints.
- Background or strong interest in physical or engineering sciences related to mechanical systems, with capability to fit/calibrate models against noisy sensor data.