> Markdown version of [/jobs/ext/1505899-sr-software-engineer-mlops](https://www.wearedevelopers.com/jobs/ext/1505899-sr-software-engineer-mlops). 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). --- # Sr Software Engineer, MLOps - **Company:** Vivint, Inc. - **Location:** Seattle, WA, United States (Remote available) - **Experience:** Expert - **Salary:** $150,000.0 - $180,000.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Amazon Web Services, Computer Vision, Cloud Engineering, Continuous Integration, Data Validation, Python (Programming Language), Machine Learning, Recommender Systems, Azure Machine Learning, Software Engineering, Management of Software Versions, Large Language Models, Git, AI Platforms, Kubernetes, Information Technology, Low Latency, Google Cloud Functions, Machine Learning Operations - **Published:** July 30, 2026 - **Apply:** https://www.juju.com/job/00000000gkjaco ## About the Role + Bachelor's degree in Computer Science, Software Engineering, AI/ML, or a related technical field, and 5+ years of professional experience in software development, applied science, or ML engineering; or + Master's degree in Computer Science, Software Engineering, AI/ML, or a related technical field, and 2+ years of professional experience in software development, applied science, or ML engineering + Experience building production ML platforms, model serving systems, or MLOps workflows + Strong Python and cloud engineering skills + Experience with CI/CD, Git, infrastructure-as-code, and production monitoring + Familiarity with model registry, feature/data versioning (DVC) [CH1] , validation, deployment, rollback, and observability + Ability to communicate tradeoffs clearly across engineering, data science, and product teams Preferred Qualifications: + Experience with GCP/AWS, Cloud Run, Kubernetes, Vertex AI, SageMaker, MLflow, or equivalent tools + Experience with AI services for computer vision, LLMs, multimodal models, or recommendation systems + Experience with data validation, dataset versioning, feature stores, or model quality monitoring + Experience optimizing cost, latency, reliability, and operational readiness for AI systems + Experience with IoT, edge AI, smart home, or distributed device environments ## Related Videos - [How a Small Team Shrank a Microsoft Monorepo by 94%](https://www.wearedevelopers.com/videos/1236-how-a-small-team-shrank-a-microsoft-monorepo-by-94) - [Understanding Kubernetes in a visual way](https://www.wearedevelopers.com/videos/100085-understanding-kubernetes-in-a-visual-way) - [Swapping Low Latency Data Storage Under High Load](https://www.wearedevelopers.com/videos/746-swapping-low-latency-data-storage-under-high-load) - [The Road to MLOps: How Verivox Transitioned to AWS](https://www.wearedevelopers.com/videos/1050-the-road-to-mlops-how-verivox-transitioned-to-aws) - [Git for Code Reviews](https://www.wearedevelopers.com/videos/429-git-for-code-reviews) - [Effective Machine Learning - Managing Complexity with MLOps](https://www.wearedevelopers.com/videos/185-effective-machine-learning-managing-complexity-with-mlops) ## Related Articles - [MLops – Deploying, Maintaining And Evolving Machine Learning Models in Production](https://www.wearedevelopers.com/magazine/115-mlops-deploying-maintaining-and-evolving-machine-learning-models-in-production) - [MLOps – What’s the deal behind it?](https://www.wearedevelopers.com/magazine/125-mlops-what-s-the-deal-behind-it) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development) - [What Are Large Language Models?](https://www.wearedevelopers.com/magazine/304-what-are-large-language-models)