Top Senior Level Python Jobs in Birmingham, AL

The Senior DevOps Engineer at Hashgraph will support operations for consensus nodes in the Hedera platform, focusing on automation to enhance configuration management and infrastructure. Responsibilities include managing cloud workloads, creating workflows with Terraform and Ansible, and providing 24/7 operational support. The role demands strong expertise in DevOps practices and experience with various cloud services.

The SDET will develop, execute, and verify test cases, collaborate with development teams on automation, report on testing outcomes, and establish defect tracking processes while ensuring quality standards are met.

As a Senior Backend Engineer, you will drive impactful projects for the Customer Experience team, prioritizing engineering efforts, leading project execution, designing and implementing systems, and mentoring engineers. You'll ensure the team's success while maintaining high standards of engineering quality and availability.

As a Senior Principal Software Engineer at Nerdery, you will lead the technical lifecycle of large-scale custom software projects, manage software delivery processes, provide guidance to other engineers, and oversee technical evaluations while collaborating with multi-disciplinary teams.

The Senior Director of Cloud Engineering will lead teams across the US, LATAM, and India, focusing on operational excellence, DevOps best practices, and automation. Responsibilities include improving service delivery, managing CI/CD pipelines, collaborating with technical teams, and enhancing documentation and workflows for cloud services.

The Senior Software Engineer at Ignite Reading is responsible for leading software development projects to scale the organization and serve at least 100,000 students. Key responsibilities include assessing technical needs, designing key software projects, partnering with teams to deliver solutions, and supporting the development of the engineering function. Qualifications include 7+ years of software engineering experience, knowledge of modern web development technologies, and experience with Ruby on Rails, Hotwire, Tailwind, and Postgres.

The Principal Engineer for the ML Training Platform will lead a team to enhance the ML training and evaluation process. Responsibilities include designing and maintaining scalable ML data processing solutions in AWS using Kubernetes, optimizing model performance with GPUs, and collaborating with various teams to ensure the effective execution of technical initiatives.