Top Remote Senior Level DevOps Jobs in Birmingham, AL

The AI Architect will design and oversee the implementation of AI solutions, collaborating with teams to tailor these solutions for business needs, ensuring scalability and sustainability while driving innovation and competitive advantage.

As an ML Engineer specializing in Inference at Symbl.ai, you will develop and optimize the Nebula language model, implementing algorithms for real-time inference, collaborating with teams, and optimizing models for various platforms, while staying updated on advancements in machine learning.

As an Applied AI Engineer Tech Lead, you will design and deploy AI models to revolutionize access management processes. You will collaborate with cross-functional teams to develop AI-driven systems that enhance security and productivity, while also creating scalable AI infrastructure. Your role involves prioritizing AI initiatives and ensuring their integration into business workflows.

As a Senior Network Automation Consultant, you will lead the adoption of a no-code automation platform by creating automation solutions, training engineers, and collaborating with various stakeholders to enhance network operations for clients. You’ll analyze network technologies and propose strategic automation initiatives to meet customer needs.

As a Solutions Architect at Snowflake, you will lead complex migrations from legacy systems to the Snowflake platform. You’ll design migration strategies, work closely with customers to ensure successful transitions, and collaborate with various teams to enhance Snowflake's offerings. You’ll also present technical solutions to both technical and executive stakeholders.

As a Senior Software Engineer at Beam, you will ship high-quality code, act as a technical advisor, mentor fellow engineers, and propose architectural solutions in an agile environment. You will collaborate with Product and Design teams to enhance the development process and product quality.

The Sr. Software Test Engineer will design, implement, and maintain infrastructure code for automated testing, lead debugging efforts, mentor junior engineers, ensure Azure DevOps pipeline stability, and manage projects for infrastructure automation and testing technology implementation.