DevOps Engineer

Yubi stands for ubiquitous. But Yubi will also stand for transparency, collaboration, and the power of possibility.

From being a disruptor in India’s debt market to marching towards global corporate markets from one product to one holistic product suite with seven products

Yubi is the place to unleash potential. Freedom, not fear. Avenues, not roadblocks. Opportunity, not obstacles.

About YUBI

Yubi, formerly known as CredAvenue, is re-defining global debt markets by freeing the flow of finance between borrowers, lenders, and investors. We are the world's possibility platform for the discovery, investment, fulfilment, and collection of any debt solution. At Yubi, opportunities are plenty and we equip you with tools to seize it.

In March 2022, we became India’s fastest fintech and most impactful startup to join the unicorn club with a Series B fundraising round of $137 million.

In 2020, we began our journey with a vision of transforming and deepening the global institutional debt market through technology. Our two-sided debt marketplace helps institutional and HNI investors find the widest network of corporate borrowers and debt products on one side and helps corporates to discover investors and access debt capital efficiently on the other side. Switching between platforms is easy, which means investors can lend, invest and trade bonds - all in one place. All 5 of our platforms shake up the traditional debt ecosystem and offer new ways of digital finance.

• Yubi Loans – Term loans and working capital solutions for enterprises.
• Yubi Invest – Bond issuance and investments for institutional and retail participants.
• Yubi Pool– End-to-end securitisations and portfolio buyouts.
• Yubi Flow – A supply chain platform that offers trade financing solutions.
• Yubi Co.Lend – For banks and NBFCs for co-lending partnerships.

Currently, we have boarded over 4000+ corporates, 350+ investors and have facilitated debt volumes of over INR 40,000 crore.

Backed by marquee investors like Insight Partners, B Capital Group, Dragoneer, Sequoia Capital, LightSpeed and Lightrock, we are the only-of-its-kind debt platform globally, revolutionising the segment.

At Yubi, People are at the core of the business and our most valuable assets. Yubi is constantly growing, with 650+ like-minded individuals today, who are changing the way people perceive debt. We are a fun bunch who are highly motivated and driven to create a purposeful impact. Come, join the club to be a part of our epic growth story.

Responsibilities:

• Develop and enhance the ML platform to standardise model development and deployment workflows.
• Create reusable components to streamline the Data Science team's efforts and expedite the model lifecycle.
• Integrate models seamlessly with various products and systems.
• Implement robust logging and instrumentation for monitoring scoring requests for models in production.
• Establish systems for continuous model monitoring and trigger mechanisms for retraining based on performance metrics.
• Design and build A/B testing frameworks with support for canary deployments and shadow models to evaluate different model versions.
• Integrate data pipelines necessary for model retraining and update activities in production.
• Scale training and inference capabilities using standardised environment setups and deployment strategies.
• Incorporate open-source frameworks and proprietary tools into the MLOps pipeline to achieve development goals.
• Prototype and evaluate different open-source frameworks to identify optimal technology stacks for the pipeline.
• Focus on CI/CD pipeline integration for models and ensure seamless deployments in various environments.

Requirements

Overview:

We are seeking a DevOps Engineer who excels in managing and automating cloud infrastructure, container orchestration, and deployment pipelines while possessing a solid understanding of software development practices. In this role, you will focus on creating robust, scalable infrastructure solutions, automating environments, and supporting application deployments.

Key Responsibility

• Design, build, and maintain containerized environments using Docker and Kubernetes.

• Develop, deploy, and monitor applications and services within cloud environments (AWS(preferable), Azure, GCP).

• Automate infrastructure provisioning and configuration management using popular scripting languages (Python, Bash, etc.).

• Collaborate with development teams to support application deployment pipelines and integrate CI/CD practices.

• Debug and troubleshoot issues in production systems, ensuring high availability and performance.

• Implement monitoring, logging, and alerting mechanisms to proactively manage system health.

• Evaluate open-source and commercial tooling to optimize infrastructure and deployment workflows.

• Assist Data Science or development teams with setting up environments for experimentation and production deployment.

Required Experience & Expertise:

• 1-3+ years of experience in DevOps, infrastructure management, or related fields with a strong emphasis on automation and containerization.

• Extensive hands-on experience with Docker and Kubernetes for building and managing containerized applications.

• Proficient programming and scripting skills, preferably in Python, with the ability to develop automation scripts and tools.

• Solid understanding of public cloud infrastructure (AWS(preferable), Azure, GCP) and associated services.

• Experience setting up and managing CI/CD pipelines and integrating configuration management tools.

• Strong problem-solving skills, with the ability to analyse complex issues and provide effective solutions.

• Exposure to deploying and monitoring applications in production environments.

• Familiarity with infrastructure-as-code (IaC) frameworks such as Terraform or CloudFormation is a plus.

Preferred Qualifications:

• Background or exposure to Data Science related deployments or applications.

• Ability to work collaboratively in a fast-paced, cross-functional team environment.

• Experience evaluating and adopting new technologies and methodologies to streamline DevOps processes.