> Markdown version of [/jobs/ext/1760615-software-engineer-ii](https://www.wearedevelopers.com/jobs/ext/1760615-software-engineer-ii). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Software Engineer II - **Company:** Lever, Inc. - **Location:** Boston, MA, United States - **Experience:** Experienced - **Salary:** $125,000.0 - $175,000.0 - **Contract:** Permanent contract - **Skills:** Java (Programming Language), Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Cloud Computing, Continuous Integration, Software Design Patterns, Python (Programming Language), Machine Learning, Cloud Services, Software Deployment, Software Engineering, Cloud Platform System, Delivery Pipeline, Information Technology, Machine Learning Operations, Software Coding, Microservices - **Published:** July 13, 2026 - **Apply:** https://jobs.lever.co/whoop/82635467-6cfb-4e8b-967e-73355a0d0b8f/apply ## About the Role * Bachelor's Degree: A degree in Computer Science, Software Engineering, or a related field; or equivalent practical experience. * 2+ years of experience in software engineering, with a significant focus on building and maintaining ML infrastructure in cloud environments. * Familiarity with Cloud Computing concepts and design patterns * Experience in writing code in a functional or object oriented programming language such as Python or Java * An understanding of the steps of ML lifecycle including model training and evaluation as well as monitoring a model in production. * Excellent collaboration skills, with the ability to work closely with Data Scientists, AI and Software teams, and other cross-functional stakeholders. * A high level of curiosity to keep up with industry trends and a proven ability to find creative solutions to novel problems. ## Description We are looking for a talented and passionate Software Engineer II to join our MLOps team, focusing on the development and optimization of ML cloud infrastructure. In this role, you will play a critical part in supporting our Data Science and AI teams by building robust, scalable systems for the productionalization of machine learning models. Your work will be at the heart of bringing advanced ML/AI solutions into production, ensuring they are reliable, scalable, and ready to drive value across WHOOP., * Design, develop, and maintain cloud-based infrastructure to support the deployment and scaling of machine learning models. Implement automated pipelines for continuous integration and continuous deployment (CI/CD) of ML models, ensuring seamless transitions from development to production environments. * Collaborate closely with Data Scientists and AI teams to understand model requirements and facilitate the transition from prototype to production. * Develop APIs, microservices, and other components necessary to integrate ML models into existing systems, enabling real-time inference and decision-making. * Leverage cloud services to optimize the deployment and performance of machine learning models and associated infrastructure. Utilize services such as AWS SageMaker, Lambda, and ECS to build scalable, cost-effective solutions that support real-time ML/AI workloads. * Support AI teams by troubleshooting and resolving technical challenges related to model deployment and performance in production. * Stay up-to-date with the latest advancements in ML infrastructure, cloud computing, and AI deployment strategies. Proactively suggest and implement improvements to enhance the efficiency, reliability, and scalability of ML operations within the organization. ## Related Videos - [Leverage Cloud Computing Benefits with Serverless Multi-Cloud ML ](https://www.wearedevelopers.com/videos/78-leverage-cloud-computing-benefits-with-serverless-multi-cloud-ml) - [Microservices: how to get started with Spring Boot and Kubernetes](https://www.wearedevelopers.com/videos/242-microservices-how-to-get-started-with-spring-boot-and-kubernetes) - [Green Cloud Computing](https://www.wearedevelopers.com/videos/592-green-cloud-computing) - [Cloud-nativeApplications- What’s the buzz about](https://www.wearedevelopers.com/videos/55-cloud-nativeapplications-what-s-the-buzz-about) - [Machine Learning for Software Developers (and Knitters)](https://www.wearedevelopers.com/videos/154-machine-learning-for-software-developers-and-knitters) - [Cloud Chaos and Microservices Mayhem](https://www.wearedevelopers.com/videos/104-cloud-chaos-and-microservices-mayhem) ## Related Articles - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [What Are Large Language Models?](https://www.wearedevelopers.com/magazine/304-what-are-large-language-models) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [Why Upskilling And Reskilling is Important For Developers](https://www.wearedevelopers.com/magazine/428-why-upskilling-and-reskilling-is-important-for-developers) - [Software Engineer Career: Things You Should Know](https://www.wearedevelopers.com/magazine/143-software-engineer-career-things-you-should-know) - [Is Software Engineering Over-Saturated?](https://www.wearedevelopers.com/magazine/418-is-software-engineering-over-saturated)