Top Python Jobs

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.

Develop and maintain SpaceX’s core test infrastructure framework and applications for production testing, integration testing, simulations, and flight systems. Improve software reliability, performance, safety, and user experience while collaborating with flight software engineers. Responsibilities include software design, development, testing, deployment, monitoring, performance optimization, and solving complex engineering problems. The role is onsite and may require extended hours or weekends based on launch schedules.

Design, build, and operate scalable Python backend services, REST APIs, microservices, serverless applications, and event-driven architectures on AWS. Deploy containerized workloads, provision infrastructure, maintain CI/CD pipelines, implement observability and security, and design highly available systems. Troubleshoot production issues, apply SRE practices, participate in technical design and code reviews, and provide technical leadership to stakeholders.

Develop and sustain mission-critical software and systems for a U.S. Government customer. Apply Python and related technologies including Kotlin/Java, Terraform, Elasticsearch/OpenSearch, and AWS. Collaborate independently and within engineering teams while supporting reliable software solutions, Agile development, and mission-focused technical initiatives. The role requires a TS/SCI with Polygraph clearance and is based in Annapolis Junction with partial telework available after acclimation and training.

Develop and sustain mission-critical government software and systems as a senior Python engineer. Apply Python and related technologies including Kotlin/Java, Terraform, Elasticsearch, OpenSearch, and AWS. Work independently and collaboratively on software engineering projects, support customer mission needs, and contribute to reliable solutions using Agile development practices. The position requires a TS/SCI with Polygraph clearance and supports partial telework after acclimation and training.

Develop and sustain mission-critical software for a U.S. Government customer using Python, PySpark, and AWS services including Lambda, Glue, and DynamoDB. The role requires software engineering experience, collaboration, strong communication, and an active or reinstatable TS/SCI clearance with polygraph. The position is based in Annapolis Junction, Maryland, with partial telework potentially available after acclimation and training.

Develop and maintain Python backend applications, REST APIs, and microservices. Design AWS cloud solutions using serverless, container, database, messaging, networking, and security services. Build containerized deployments, infrastructure as code, CI/CD pipelines, automated tests, monitoring, logging, alerting, and observability practices. Participate in code reviews, Agile development, production support, and technical problem-solving.

Leads the architecture, development, deployment, and support of scalable full-stack applications using React, TypeScript, backend services, cloud platforms, and distributed systems. Owns features end to end, drives technical design and code reviews, implements testing and observability strategies, resolves production issues, mentors engineers, and collaborates with product, architecture, design, and business stakeholders.

Leads the architecture, development, testing, deployment, and production support of scalable full-stack applications. Builds React and TypeScript frontends, backend APIs and microservices, and cloud-native AWS solutions. Drives system design, observability, security, performance, CI/CD, and automated testing while mentoring engineers and guiding architecture and code reviews. Collaborates with product, design, architecture, and business stakeholders to deliver enterprise-grade solutions and resolve complex production issues.

Design and build high-performance APIs, streaming data infrastructure, internal tools, and data-processing libraries for options analytics. Develop systems that ingest, transform, analyze, and serve real-time and historical market data across distributed infrastructure. Maintain Kubernetes, cloud, and bare-metal environments while applying software engineering best practices and AI-assisted development workflows.

Designs and develops APIs, system integrations, and AI-agent workflows for enterprise applications. Builds integrations with platforms such as Salesforce and REST APIs, deploys and supports solutions on AWS, and develops AI-powered automation using LLMs, tool calling, and multi-step workflows. The role includes client requirements gathering, troubleshooting, reliability optimization, cross-functional collaboration, and mentoring junior developers.

Designs, develops, deploys, and operates scalable Go and Python microservices in distributed production environments. Responsibilities include API design, Kubernetes deployment, monitoring, scaling, troubleshooting incidents, system architecture, security, testing, code reviews, and continuous improvements to development processes and infrastructure. The role requires end-to-end service ownership, strong Linux and Docker expertise, observability knowledge, and experience with reliability, performance, and CI/CD practices.

Build and maintain reliable data pipelines, APIs, integrations, and event-driven or batch processing systems. Transform data from advertising, ecommerce, order management, and event sources while improving monitoring, freshness, performance, and scalability. Collaborate with data engineering, infrastructure, product, and business teams to extend the integration platform in a cloud-native, multi-tenant environment.

Lead backend-focused software architecture and development across distributed systems, data ingestion, experimentation platforms, AI workflows, and product capabilities. Build primarily in Python while contributing to React and TypeScript frontend work. Translate ambiguous product needs into scalable production systems, guide technical direction, partner with product and data teams, mentor engineers, and improve engineering practices.

Build backend services, APIs, data-processing systems, and frontend features for Northbeam’s marketing intelligence platform. Work on experimentation, near-real-time data infrastructure, AI-powered workflows, data integrations, RBAC, and end-to-end product delivery. Collaborate with data scientists, product managers, designers, and senior engineers while contributing across backend, frontend, pipelines, and infrastructure in a fast-moving environment.

Develop and maintain open-source Python frameworks and ML developer tools, architect scalable libraries, grow early-stage projects, build real-time streaming capabilities, integrate modern frontend technologies, and collaborate with open-source contributors and the broader developer community.

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

Develop and maintain scalable Python batch-processing applications using Pandas, NumPy, and SQLAlchemy. Design reusable enterprise software, implement database integrations, support testing and deployments, and contribute throughout the software development lifecycle. The role requires collaboration with cross-functional teams, strong SQL and Linux skills, CI/CD experience, and the ability to deliver highly available solutions for investment banking or investment management technology projects.

Design, develop, and maintain scalable, reliable Python applications. Participate in design and code reviews, collaborate with engineers and data scientists, adopt microservices and containerization, follow Agile practices, and support deployment and integration for DoD-focused AI/ML and simulation projects.

Develop and sustain a high-performance geospatial collaboration and intelligence reporting tool. Responsibilities include implementing mission-driven enhancements, maintaining existing code, troubleshooting application interfaces, testing, integration, and resolving production issues. The developer will work with Java, C/C++, scripting languages, databases, search platforms, REST services, and Linux. Participation in a rotating pager schedule is required for emergency 24/7 support.

Develop and maintain system management infrastructure software and services for high-performance computing systems in Linux environments. Responsibilities include software development in Python and Rust, Bash/Python automation, Ansible-based deployment orchestration, Linux administration, authentication and authorization controls, CI/CD implementation with GitLab CI, and Git-based development within Agile methodologies.

Develop and maintain Linux-based tools and services supporting products including GitLab, Artifactory, MinIO, Jupyter, and SPARTANDESK. Build Java applications and Bash, Python, and PHP automation scripts; implement infrastructure as code with Ansible; manage CI/CD pipelines, Docker containers, Git workflows, and system documentation. Collaborate with developers, administrators, project managers, and mission customers to deliver integrations and sustain mission applications.

Designs, implements, and optimizes scalable data ingress and egress pathways for analytics workloads. Develops software and automation using Python, Java, Bash, Linux, Apache Airflow, and Apache Spark. Builds and monitors complex workflows, processes large structured and unstructured datasets, performs data wrangling and validation, and supports distributed big-data processing. Requires a current Top Secret/SCI clearance with favorable polygraph and substantial software engineering experience.

Develop and maintain software solutions using AWS managed services and technologies including Hadoop, Accumulo, Terraform, Java, and Python. The engineer will support mission-focused government programs, innovate on technical solutions, and deliver software within projects of similar scope and complexity. The role requires a Top Secret/SCI clearance with favorable Polygraph and U.S. citizenship.

Develop, sustain, test, integrate, and troubleshoot software applications supporting national security missions. The role requires Linux, Bash, Python, MongoDB, Docker, Kubernetes, CI/CD, Helm, RabbitMQ, Ansible, and Git experience, with PostgreSQL and Atlassian tools preferred. Candidates must hold an active Top Secret/SCI clearance with a favorable polygraph and be U.S. citizens. Education and experience requirements vary by degree, with three to seven years of relevant software engineering experience.