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.

The Quantitative Developer will develop systems from research to production, build simulation infrastructure, manage feature pipelines, and troubleshoot issues in quantitative trading environments.

Lead the technical design and development of software solutions, troubleshoot issues, mentor engineers, and collaborate with teams to deliver scalable solutions.

Provide Tier-2 support for the Streaming Hub: troubleshoot customer-facing issues, maintain UI components, debug distributed systems, build automation, assist in incident response, release validation, and contribute to operational documentation and reliability improvements.

Design and develop scalable software applications in Python, collaborate with teams, and ensure code quality for critical defense projects.

Lead the technical direction of AI initiatives by building scalable backend systems, mentoring junior engineers, and ensuring operational excellence.

As a Software Engineer Principal, you will lead technical design and development for scalable applications, mentor engineers, and optimize software performance.

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

Provide Tier-2 support for the Streaming Hub application: troubleshoot customer issues, maintain UI components, debug distributed systems, build automation, assist incident response and release validation, collaborate with cross-functional teams, and contribute to operational documentation and best practices.

Provide Tier-2 support and operational ownership for FreeWheel's Ad Serving platform. Troubleshoot ad delivery and campaign issues, support live events, build automation and observability tools, debug distributed low-latency services, collaborate across engineering and client teams, participate in releases and on-call rotations, and drive reliability and process improvements.

The Lead Software Engineer will lead diverse technology projects using Python and AWS, mentor team members, and collaborate with product managers to build cloud-based solutions.

The Software Engineer II will design and implement optimization systems, collaborate with teams, solve data issues, and ensure high-quality code through rigorous testing and peer review.

Lead a team and portfolio building distributed microservices and full-stack cloud solutions. Mentor engineers, collaborate with product managers, and deliver scalable AWS-based applications using Java, Python, JavaScript/TypeScript, containers, and databases to meet regulatory and customer needs.

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, implement, and support low-latency trading algorithms and analytics (multi-leg spreads, baskets, market making, VWAP). Collaborate with clients and SMEs to design scalable, customizable strategies; integrate into FlexStrategy Server; enhance back-testing framework; perform developer testing, QA coordination, documentation, and client support for deployments and troubleshooting.

Design, develop, test, and maintain backend services and large-scale enterprise applications using Python (pandas, boto3), AWS, and Docker. Participate in full SDLC, produce technical specs, implement CI/CD/DevOps pipelines, use observability tools, perform root-cause analysis, and support production on Linux and Windows environments.