Top Senior Level Python Jobs in Philadelphia, PA

As a Senior DevOps Engineer, you will design and maintain cloud infrastructure using AWS, Terraform, and Ansible. You'll troubleshoot production issues, implement automation strategies, and collaborate with the development team to enhance platform reliability and performance.

Join the Site Reliability Team focusing on reliability and security for a leading sports betting platform. Responsibilities include improving infrastructure, handling deployments and monitoring, and ensuring system availability. The role involves collaboration with DevOps/SRE teams, mentoring, and liaising with security agencies.

Seeking an experienced Senior Software QA Automation Engineer to design, develop, and maintain automation frameworks for software products. Responsibilities include creating end-to-end automation test suites, collaborating with teams, optimizing testing processes, and staying updated on QA automation trends. Required qualifications include a Bachelor's degree in Computer Science or related field, 5+ years of software quality engineering experience, proficiency in Cypress, AWS experience, and knowledge of manual testing methodologies and tools like TestRail and JIRA. Strong problem-solving and communication skills are essential.

FinOps Engineers at Excella streamline cloud cost management practices, ensuring cost-efficient infrastructure. They optimize cloud systems based on the Azure Well-Architected Framework while balancing cost and performance efficiency.

As a Senior Staff Forward Deployed AI Engineer, you'll work with enterprise customers to modernize applications and implement AI solutions, influencing MongoDB's product roadmap and leveraging cutting-edge technologies.

As a Senior AI Engineer, you will develop prototypes and microservices, create MLOps pipelines, automate processes, and support AI workshops. Collaborating closely with teams, you will implement AI-driven solutions to improve business workflows.

The Senior Solutions Engineer will collaborate with strategic account teams to design and optimize technical solutions for clients, primarily in machine learning for fraud and logistics problems. Responsibilities include pre-sales technical support, developing custom scripts, analyzing datasets, leading demonstrations, and ensuring seamless integration of solutions with client needs.