Staff/Principal Software Engineer

Responsibilities:

• Help companies deploy their machine learning models at scale across a wide range of use-cases and sectors. Build integrations with other platforms to make it easy for our customers to use our product without changing their workflow. Write maintainable, scalable performant code working with large scale data pipelines, Optimising databases and queries, Building gRPC and rest API servers.
• Solicit constant feedback on their work from both customers and colleagues, improving our products over time with rapid iteration cycles.
• You will design and develop large-scale distributed software services and solutions 
• You will adhere to and drive modern software engineering practices through design reviews 
• You will system design through well-defined interfaces across multiple components, code reviews, leveraging data/telemetry to make decisions 
• You will develop “best-in-class” engineering for our services by ensuring that the services and the components are well-defined and modularized, secure, reliable, diagnosable, actively monitored and reusable. 
• You will improve test coverage for services, organize and implement integration tests, and resolve problem areas.
• You will consider testability, portability/monitoring, reliability, and maintainability, and understands when code is ready to be shared and delivered.
• You will expose test coverage issues, organizes and implements integration tests, and resolves problem areas 

Requirements:

1. Python, Typescript, Node, Go are preferred but not mandatory
2. REST APIs, docker, CI/CD is a must-have
3. Some experience with AWS & K8s is nice-to-have.

Benefits at TrueFoundry:

• Work with top engineers who led the Facebook Videos and Infrastructure team
• Weekly Games and learning sessions with teammates
• Flexible working hours and work directly with the Co-founders.
• Team discussions on product and business growth strategies.
• Insights for those who want to build a startup in the future
• Other benefits like learning credits

About US:
TrueFoundry is a Cloud-native Machine Learning Training and Deployment PaaS on Kubernetes. TrueFoundry is a powerful LLMOps and MLOps platform that enables Machine learning teams to train and Deploy models at the speed of Big Tech with 100% reliability and scalability - allowing them to save cost and train models at lightning speed with scalability.

TrueFoundry also facilitates faster experimentation with Open Source LLMs on your cloud infrastructure while simultaneously reducing operational expenses. TrueFoundry has built a fearlessly experimental, customer-obsessed team who are making discoveries to fundamentally change how people build and consume business applications. Today, we're partnering with the world's leading companies to transform how they use data and technology.

In this role, you will work closely with the founders including Abhishek (https://www.linkedin.com/in/abhishekch123/) and Nikunj (https://www.linkedin.com/in/nikunj-bajaj-10476824/), also with internal and external stakeholders to develop best practices and solutions in the most optimized, scalable and reliable standards possible.

Our mission is to deliver positive value from Machine Learning by making it fast and scalable!
ML Developers (Data Scientists and ML Engineers ) should be enabled to build great ML products to deliver ROI from ML Investments and make everyone's lives better

Team:

• Founded by alumni from IIT Kharagpur, UC Berkeley, and ex-FaceBook Engineers, we have had folks from IITs, ISB, Facebook, Amazon, , GoJek, etc. Funded by top global Investors (Sequoia Capital, ENIAC) and angels (Naval Ravikant, Anthony Goldbloom).
• 2nd-time founders - their previos Postmanus startup (EntHire.co) was acquired by InfoEdge + was selected to be a part of Y Combinator.

How to Apply?

Please apply directly from here AND brownie points if you can email [email protected] with the following:

1) Resume/Link to LinkedIn profile
2) Why do you think you will be a fit for this role? {this often helps applications stand out)
3) If you have done a similar thing in the past - please highlight it.