> Markdown version of [/jobs/ext/4201033-sr-software-engineer](https://www.wearedevelopers.com/jobs/ext/4201033-sr-software-engineer). 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 - **Company:** Yantran Llc - **Location:** Alpharetta, GA, United States (Remote available) - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Agile Methodology, Artificial Intelligence, Amazon Web Services, Microsoft Azure, Bash Shell, Information Engineering, Extract Transform Load (ETL), DevOps, Python (Programming Language), Machine Learning, Tensorflow, Prometheus, Azure Machine Learning, Data Logging, Scripting, Google Cloud, Pytorch, System Availability, Grafana, Deep Learning, Git, Cloudformation, Scikit Learn, Kubernetes, Infrastructure Automation Frameworks, Information Technology, Terraform, Docker, Elk Stack, Jenkins, Microservices - **Published:** October 31, 2026 - **Apply:** https://www.juju.com/job/15_bbb1fb83 ## About the Role Strong knowledge of AI, ML, and DL concepts and frameworks (e.g., TensorFlow, PyTorch, Scikit learn). Proficiency in DevOps tools and practices (e.g., Docker, Kubernetes, Jenkins, Git). Experience with cloud platforms (e.g., AWS, Azure, Google Cloud) and their AI/ML services. Solid understanding of scripting languages (e.g., Python, Bash). Experience with Infrastructure as Code (IaC) tools (e.g., Terraform, CloudFormation). Strong problem solving skills and ability to work in a fast paced environment. Preferred Skills: Experience with data engineering and ETL processes. Familiarity with monitoring and logging tools (e.g., Prometheus, Grafana, ELK stack). Knowledge of container orchestration and microservices architecture. Experience with Agile methodologies and project management tools. Qualifications: Bachelor's degree in Computer Science, Engineering, or a related field. 5 7 years of experience in Platform/DevOps engineering with a focus on AI/ML/DL. Proven track record of successful project delivery in a contractor role. Excellent communication and collaboration skills. If you are a passionate Platform/DevOps Engineer with a strong AI/ML/DL background and are looking for an exciting opportunity to work remotely, we encourage you to apply. ## Description We are seeking a highly skilled Platform/DevOps Engineer with a strong background in Artificial Intelligence (AI), Machine Learning (ML), and Deep Learning (DL). The ideal candidate will be responsible for designing, implementing, and maintaining scalable and efficient platforms that support AI/ML/DL applications. This role requires a deep understanding of DevOps practices and tools, as well as a passion for leveraging cutting edge technologies to drive innovation. Responsibilities: Design, implement, and manage CI/CD pipelines for AI/ML/DL applications. Collaborate with data scientists and software engineers to optimize model deployment and performance. Monitor and maintain platform health, ensuring high availability and reliability. Automate infrastructure provisioning and management using Infrastructure as Code (IaC) tools. Implement security best practices for AI/ML/DL environments. Conduct performance tuning and optimization of AI/ML/DL models in production. Stay updated with the latest trends and technologies in AI/ML/DL and DevOps. Provide technical support and troubleshooting for platform related issues.