Top Python Jobs in Atlanta, GA

The Snowflake Engineer/Architect will assess, design, and implement Data Cloud solutions utilizing Snowflake and Azure technologies. They will collaborate with clients to innovate data-driven solutions, ensure high quality deliverables, and participate in all aspects of Agile software delivery. The role also includes managing large-scale data lakes, executing best practices for data integration, and providing expertise in Snowflake functionalities.

As a Pre-Sales Network Systems Engineer at Arista Networks, you'll provide technical support, work closely with Account Managers, design network solutions, and conduct product presentations, while also leading technical responses to RFPs, gathering customer requirements, and representing the company at industry events.

The Network Systems Engineer will support the sales team by designing and proposing networking solutions, conducting network architectural sessions, and ensuring customer satisfaction. Responsibilities include hands-on deployment, leading RFP responses, and providing feedback for product development.

Seeking a skilled Systems Software Development Engineer with 3+ years of experience to join the CloudEOS team at Arista Networks. Responsibilities include developing cutting-edge software products for Cloud-enabled WAN connectivity.

As a Staff Engineer at Pindrop, you will design and manage cloud-native networking services, implement security best practices, integrate with production infrastructure, and automate tasks using scripting tools. You'll configure network hardware, maintain security protocols, and work with various server types while being part of an on-call rotation.

The Senior Staff Engineer - DevOps Engineer is responsible for designing, implementing, and maintaining Azure-based CI/CD pipelines for data platforms, using IaC with Terraform and Python. The role includes optimizing development platforms, project ownership for existing implementations, collaboration with teams, and continuously monitoring and optimizing pipelines and infrastructure.

The Senior Azure DevOps Engineer will design, implement, and maintain Azure DevOps pipelines while leveraging Infrastructure as Code (IaC) tools like Terraform and Python. They will optimize data engineering platforms, manage brownfield implementations, collaborate with cross-functional teams, and continuously monitor and improve infrastructure performance and security.

As a Senior Azure DevOps Engineer, you will design, implement, and maintain Azure DevOps pipelines for data engineering processes. Your responsibilities include optimizing cloud infrastructure using Infrastructure as Code with Terraform and Python, managing CI/CD pipelines, collaborating with cross-functional teams, and continuously monitoring for performance and security improvements. You will take ownership of brownfield implementations and support the transition to a mesh architecture.

The Sr. Python Developer at Nymbus will be responsible for managing and modernizing database systems, evaluating migration tools, and optimizing SQL queries. The role requires strong proficiency in Python and Jython, as well as familiarity with CI/CD principles and source control management tools.

As a Senior AI/ML Engineer at Upwork, you'll develop advanced machine learning models in the Search & Recommendations domain. Your role involves analyzing data to enhance model performance and delivering tailored recommendations while collaborating with cross-functional teams.

As a Senior Solutions Architect at Imply, you will guide customers in implementing the Imply product and the open-source Druid data store. You will engage with customers, aid in the architecture and development of analytics applications, and support customer success through on-site engagements and technical evangelism.

The Lead Solutions Architect at Imply will engage with customers to oversee the architecture, development, and operations of the Imply product and Apache Druid. Responsibilities include leading implementation efforts, driving customer success, supporting technical conversations, and collaborating with engineering and product teams.