Top Python Jobs

Build and maintain Python backend services and serverless architectures for a restaurant operations platform. Ship end-to-end features, design robust systems, and help define product roadmap. Implement CI/CD and productionization, collaborate with product and GTM teams, and contribute to team culture and technical execution.

Develop, enhance, and maintain information management software and infrastructure services for high-performance computing systems in Linux environments. Apply Python to solve engineering challenges, work with PostgreSQL and SQL, and support automated deployments using Ansible, CI/CD pipelines, and containerization technologies. Collaborate with modern development and infrastructure tools, with familiarity in Agile methodologies, DCIM platforms, and documentation systems.

Own technical solution design, guide engineering teams, conduct design and code reviews, manage technical risks and dependencies, develop microservices, implement authentication and authorization, improve reliability and performance, and deploy containerized services.

The Staff Software Engineer leads software engineering efforts, ensuring best practices and quality across projects, mentoring teams, and solving critical issues with deep technical expertise in Python and React.

Develop and maintain applications using Python and PHP, with experience in Amazon EC2, SQL, WordPress, and CMS development. This is a long-term developer position based in Pontiac, Michigan, requiring candidates to provide an updated professional profile and demonstrate proficiency across web development technologies.

Build and scale low-latency ad-serving software handling billions of daily auctions. Responsibilities include developing data- and model-driven features, optimizing algorithms and architectures, reducing cloud costs, extending observability, supporting distributed infrastructure, participating in on-call rotations, and documenting systems and incident procedures.

Design, develop, test, debug, review, and deploy full-stack applications using Python and Java with Gradle. Gather requirements, resolve defects, create accessible user interfaces, integrate external requirements tools, and explore large language model and AI integrations. Collaborate with customers, product managers, developers, and leadership on project initiatives while mentoring junior engineers. The role is onsite at Fort Meade and supports an Intelligence Community mission.

Own and develop backend services, APIs, integrations, data pipelines, and referral workflows using Python, with React frontend work as needed. Serve as the subject matter expert for a business domain, improve reliability and data quality, review designs and code, and partner with Product and Operations. Build AI-agent skills, rules, and context while introducing agentic development practices using coding tools.

Develop and support front-office banking applications using Python, REST, ReactJS, and database technologies. Apply quantitative research, domain-specific data analysis, risk and pricing development, and financial markets expertise. Collaborate on fixed-income and potentially trade-surveillance applications, with Quartz platform experience preferred. The role requires extensive senior development experience in banking, full-stack development, and object and relational databases.

Build and maintain internal full-stack applications, system integrations, and AI-assisted automations using Python, TypeScript, React, SQL, and Azure. Translate operator needs into production software, integrate business systems, deploy through staged environments, and support released systems. Responsibilities include testing, code review, documentation, security, data governance, monitoring, incident resolution, and collaboration with stakeholders. The role may also involve production LLM integrations, event-driven architectures, technical leadership, mentoring, and establishing engineering standards.

Designs and develops scalable, cloud-native Python backend services and APIs using microservices, serverless, and event-driven architectures. Builds AWS solutions with Lambda, containers, databases, caching, infrastructure as code, CI/CD, observability, and security best practices. Troubleshoots production systems, improves performance and cloud efficiency, applies reliability engineering practices, and provides technical leadership in an onsite Plano environment.

Develop and maintain Java-focused backend libraries and services that ingest, transform, and standardize diverse data formats. Build Python components, optimize MongoDB services, administer Linux systems, upgrade servers, install packages, monitor services, and troubleshoot environments. Contribute to scalable architecture, data modeling, integration patterns, Git workflows, code reviews, and continuous improvement. The role is onsite, requires U.S. citizenship, and involves a Top Secret SCI with Polygraph clearance.

Build software, data pipelines, dashboards, and automation for cloud cost visibility, infrastructure efficiency, reliability, engineering productivity, and financial accountability. Analyze workloads and billing data, implement AI- and analytics-enabled forecasting and anomaly detection, develop cloud-native services, and support capacity planning, cost allocation, and optimization. Collaborate with Engineering, Finance, Data, Platform, SRE, Architecture, and Product teams while testing, troubleshooting, documenting, and communicating recommendations and business value.

Develop secure full-stack enterprise applications for FDA modernization initiatives. Build frontend interfaces, Python backend services, REST APIs, databases, cloud deployments, and integrations. Develop generative AI and RAG solutions using LLMs, embeddings, vector databases, and document pipelines. Support testing, CI/CD, DevSecOps, application security, federal compliance, Agile delivery, troubleshooting, documentation, code reviews, and mentoring.

Design, build, and operate scalable, reliable Python backend services, REST APIs, and microservices. Use AWS cloud-native technologies, containers, infrastructure as code, and CI/CD pipelines. Implement security, monitoring, logging, alerting, observability, automated testing, and production support while participating in code reviews and Agile development.

Develop and maintain production-grade Python backend services and Docker-based environments. Support Docker Swarm deployments, GitLab-based version control and CI/CD, automated testing, and Agile development. Collaborate with product, QA, and DevOps teams, define engineering standards, facilitate Agile ceremonies, mentor engineers, and influence technical direction. The role requires an active Top Secret clearance with SCI eligibility and involves approximately 10% travel.

Designs, develops, integrates, tests, deploys, and supports scalable backend software and web applications. Builds RESTful APIs with Django, contributes to architecture, documents technical work, and supports production services using Kubernetes, EKS, and AWS. Mentors junior engineers, collaborates with stakeholders and QA, evaluates performance metrics, supports releases, and presents technical decisions to internal and external audiences. The role requires independent judgment and occasional nights or weekends.

Design and build data-driven advertising software features, scale distributed applications and infrastructure, optimize algorithms and architectures, reduce cloud costs, and improve observability. Participate in on-call rotations and incident escalation, create technical documentation and playbooks, and collaborate with distributed teams across time zones. The role requires strong software architecture, performance optimization, data modeling, Linux, and compiled-language expertise.

Develop and maintain scalable backend services for programmatic advertising platforms. Responsibilities include designing REST APIs, analyzing requirements, integrating and releasing software, managing production deployments, troubleshooting complex issues, collaborating with QA and cross-functional teams, conducting code reviews, mentoring engineers, and promoting reliable engineering practices. The role requires Python and Django expertise, PHP experience, AWS and Kubernetes/EKS experience, and on-site work in Chicago twice weekly.

Lead the design and development of Python software solutions for commercial and government clients. Provide technical leadership, mentorship, code reviews, architectural guidance, and client collaboration while promoting Agile practices, secure coding, continuous improvement, and emerging technologies. Build solutions using Python frameworks, microservices, containers, cloud platforms, APIs, and diverse databases.

Develop and maintain complex software systems, including AI automation workflows, integrations, algorithms, and high-volume data-processing solutions. Build CI/CD pipelines, debug and enhance applications, develop database queries, implement monitoring, optimize performance, and execute software testing. The role also involves requirements analysis, documentation, system installation, quality control, and collaboration with engineering teams. Work is performed near Fort Meade, Maryland, and requires TS/SCI with a polygraph.

Develop, maintain, test, debug, and enhance complex software systems using Python and related technologies. Analyze requirements, design algorithms, integrate software, develop database queries, resolve defects, improve development standards, and support system installation. Collaborate with software, systems, and hardware engineers, document solutions, and potentially lead development teams. The role requires TS/SCI with a polygraph and experience with IT application systems and core enterprise applications.

Build, test, and deploy Django/Python web tools for National Journal’s digital platform. Maintain datasets and integrations, improve the internal Ada CMS, develop automation tools, and contribute across backend and frontend systems. Collaborate in Agile sprints, write tests and documentation, conduct code reviews, monitor performance, and uphold software quality. The role supports election data, government directories, journalism, and other products used by government affairs professionals.

Design, develop, test, document, and support scalable Python data applications and services for an enterprise investment data warehouse. Build and optimize data pipelines spanning ingestion, validation, integration, storage, and delivery. Develop high-performance data-transfer tools, CI/CD pipelines, secure APIs, and production support solutions. Collaborate with analysts, product owners, project managers, and business stakeholders while contributing to code reviews, documentation, and technical strategy.

Leads hands-on Python application architecture and development for scalable, resilient systems supporting quantitative and market risk, stress testing, and regulatory risk. Responsibilities include designing distributed applications and APIs, integrating databases and cloud platforms, implementing CI/CD and testing practices, optimizing performance, enforcing security and code quality, and collaborating across Risk, Quantitative, DevOps, and production teams. The role also involves technical planning, governance, Agile delivery, and applying AI/ML and generative AI tools within software development.