Top Python Jobs

As a Sr. Systems Test Engineer, you will decompose engineering solutions into sub-systems and drive verification, validation, and testing in the lab. You will develop test plans, leverage statistical methods for data analysis, and collaborate with cross-functional teams to enhance product development and ensure compliance with safety standards.

The Machine Learning Engineer will work with generative AI and RAG technologies, design scalable AI systems and services, and collaborate with cross-functional teams to develop ML models and solutions for business applications.

As a Search Infrastructure Data Engineer, you will design and maintain scalable data infrastructure and pipelines to optimize search systems for Slack. This includes developing ETL processes, enhancing data storage, troubleshooting pipelines, and mentoring other engineers.

The IT Lead will manage data engineering projects, design cloud-based data architectures using AWS and Snowflake, and optimize data pipelines using Apache Airflow. They will ensure data governance and security, mentor junior engineers, and provide leadership in technical solutions and IT architecture.

As a Senior Quantitative Developer, you will develop and maintain Python libraries for investment research, implement APIs for financial and numerical data, and improve data analysis performance. You will also mentor junior team members and lead technology implementations while collaborating on high-impact projects for the research data platform.

The Senior Software Engineer at T-Mobile is responsible for designing and developing advanced software applications, mentoring junior engineers, providing technical leadership, and collaborating with cross-functional teams to optimize software solutions, all aimed at enhancing customer experiences and achieving strategic goals.

As a Senior Infrastructure Systems Engineer at Salesforce, you will manage client-facing applications and optimize the cloud computing infrastructure. You will design solutions with a focus on high availability, automation, and security, while providing technical leadership and maintaining system performance. Strong communication skills are vital for collaborating with both technical and non-technical teams.

The candidate will work on large-scale distributed platforms, leading the design and development of machine learning services and APIs. They will collaborate with various stakeholders, enforce engineering standards, and ensure high service availability. Responsibilities include developing UI components and managing complex systems.

The Manager, AI/ML Operations at T-Mobile will oversee the implementation and operational management of AI and ML projects, lead teams, optimize processes, and ensure integration of AI/ML models into business operations while driving innovation and fostering a culture of continuous learning.

As a Software Engineer in ML Infrastructure, you will design scalable generative AI services for integration across multiple applications. Your responsibilities include automating system efficiencies, collaborating with teams to define requirements, and bringing innovative technologies to production, while participating in on-call rotations for critical issues.

The Software Engineer will develop, maintain, and implement data solutions, create visualizations using Tableau and Power BI, analyze data to inform business decisions, and support engineering projects while mentoring junior team members. Collaboration with stakeholders for data needs and ensuring data governance and quality are key responsibilities.

The role involves designing, developing, and implementing custom solutions using Salesforce, particularly focusing on Agentforce. Responsibilities include gathering requirements, developing high-quality Salesforce solutions, leading design sessions, conducting code reviews, and troubleshooting issues. The candidate must possess strong Salesforce knowledge and a passion for leveraging technology to enhance internal processes.

As a new graduate software engineer at Salesforce, you'll work on architecture, design, implementation, and testing of scalable products in collaboration with a team. You'll also develop test strategies, improve coding processes, and ensure product quality through automated tests.

The Site Reliability Engineer will co-develop and manage the lifecycle of cloud platform services, focusing on performance, reliability, and automation. Responsibilities include system monitoring, troubleshooting, incident response, and improving cloud technologies while ensuring system health and capacity planning.

The Lead Engineer will manage the evaluation, development, and implementation of AMI meter applications, ensuring quality and reliability. Responsibilities include overseeing the software development lifecycle, conducting business case analyses, mentoring a team, and collaborating with stakeholders to translate needs into technical requirements.

The IT GIS Systems Engineer will manage GIS software system validation and testing, work with clients and cross-functional teams, and guide project statuses. Responsibilities include defining system functionality and writing code in multiple programming languages while ensuring software quality and performance standards.

The Senior Test Engineering Manager at Jabil will oversee all aspects of test engineering, focusing on developing innovative solutions to enhance product quality and efficiency. Responsibilities include managing the Test Engineering Department, developing test systems for AI/ML and hardware solutions, and mentoring team members while ensuring operational excellence through data-driven strategies.