Top Python Jobs

Build and maintain scalable real-time and batch data pipelines, backend systems, and APIs. Ensure data quality, performance, and reliability; create automation and monitoring tooling; participate in full SDLC including code reviews, testing, deployment, and operational support.

Build and maintain scalable real-time and batch data pipelines, backend systems, and APIs for ad serving. Create automation and monitoring solutions, ensure data quality and system performance, and participate in the full software development lifecycle. Collaborate with cross-functional teams, optimize code and workflows, and support operations including variable schedules and occasional nights/weekends.

Lead the technical design and development of software solutions, optimize data pipelines, and provide technical support in an Agile environment.

As a Python Engineer, you will develop AI agents, ensuring clean code, testing, and effective collaboration in an Agile environment.

Design, develop, and deliver scalable cloud-native software and measurement infrastructure. Collaborate with product, SRE, QA, and stakeholders to build APIs, reporting, and real-time/batch pipelines. Implement attribution and performance models, automated tests, and ensure solutions are scalable, available, and maintainable. Work hybrid (2 days onsite Chicago) with occasional variable schedules including nights/weekends.

Design, build, and scale Buyercloud ad-serving systems that handle billions of auctions. Implement data- and model-driven features, optimize performance and architecture to reduce cloud costs, extend observability, participate in on-call rotations and incident response, and produce systems documentation and playbooks while collaborating with distributed teams.

Build and scale Buyercloud ad-serving systems that process billions of auctions daily. Design data- and model-driven features, optimize performance and cost, extend observability, participate in on-call rotations, produce documentation and playbooks, and support production incidents.

The role involves designing and implementing features for a large web application, collaborating with team members, developing scalable solutions, and improving automated tests.

Lead a team to design and deliver cloud-based, distributed microservices and data platforms (Python/Scala/Spark/AWS). Mentor engineers, collaborate with product managers, evaluate and adopt new technologies, and help meet regulatory needs while occasionally coding and reviewing work.

Lead and mentor engineering teams to design and deliver cloud-based backend solutions using distributed microservices, modern languages and container orchestration on AWS. Collaborate with product, evaluate and write code, and drive technical transformation and regulatory-compliant systems.

The Software Engineer Principal will modernize technology through Ansible and Python, focusing on reliability. Responsibilities include designing backend systems for high availability and disaster recovery, and leading technical guidance.

Lead a team to develop distributed systems using Golang and Python on Kubernetes, collaborate on AI/ML solutions, and drive technological innovation.

Lead a team of developers in building cloud-based solutions, focusing on back end software engineering with AWS and programming languages like Java, Go, and Python. Collaborate on diverse projects to meet business and regulatory needs.

Develop, design, and deliver complex Python backend applications for acquiring, storing, and computing on large volumes of data. Lead feature implementation, ensure code quality via linting and automated tests, mentor junior developers, perform code reviews, collaborate with cross-functional teams, and troubleshoot production issues.

Develop and maintain scalable Python backend applications and RESTful APIs. Optimize performance, design and manage SQL/NoSQL schemas, implement security/authentication, write tests, automate CI/CD tasks, and collaborate with front-end, product, and QA teams.

The role involves building and supporting data-centric applications, ensuring quality data delivery, and troubleshooting issues in a fast-paced environment.

Design and develop software solutions, analyze complex problems, and provide support for trading activities in a dynamic environment.

Develop, maintain, and improve Python-based analytics applications and cloud-based microservices. Implement containerized deployments (Docker, Kubernetes), CI/CD, automated tests (PyTest), and integrate data libraries (Pandas, NumPy, scikit-learn). Mentor junior team members, troubleshoot functionality, and evaluate system improvements in AWS (ECS, Lambda) with PostgreSQL/MSSQL backends and REST APIs.

Provide application support and remediation for critical business systems: analyze and troubleshoot complex software issues, develop solutions to improve functionality and user experience, collaborate across teams, document findings, and lead/mentor team members while participating in continuous learning.

Design, develop, and integrate cloud-native software solutions; analyze system requirements; support application updates and releases; mentor junior engineers; collaborate with QA; troubleshoot production issues; run trainings and contribute to platform and developer tooling initiatives.

Lead a team of developers to build technology projects using microservices and full stack systems, focusing on cloud-based solutions and mentoring team members.

The Senior Lead Software Engineer will lead diverse tech projects, mentor developers, and deliver cloud-based solutions using various programming languages and technologies.

The Python Software Engineer will design, develop, and deliver reliable software applications, collaborating with teams and ensuring high standards of quality. Responsibilities include participating in code reviews, staying updated with engineering trends, and contributing to object-oriented codebases.

Design, develop, test, and maintain Python and related applications integrating with existing infrastructure. Collaborate cross-functionally to implement modular, repeatable, and automated solutions, apply Model Based Engineering, participate in code reviews, implement automated testing, and support cloud-native microservices and observability practices.

Lead full‑stack teams to design and deliver cloud-based, microservices solutions. Mentor engineers, collaborate with product managers, and build scalable systems using Python, ReactJS, AWS, containers, and modern data tools to meet regulatory and customer needs.