Top Senior Python Jobs

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, 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.

Develop and maintain software supporting national security missions. The engineer will use Python, PySpark, and AWS services including Lambda, Glue, and DynamoDB to build timely, innovative solutions while assisting with daily software engineering responsibilities.

Administer, maintain, monitor, and support Kubernetes-based PaaS infrastructure within a secure Linux environment. Responsibilities include cluster administration, workload troubleshooting, performance and reliability optimization, security compliance, automation with Ansible, Helm chart development, scripting with Bash and Python, container management, monitoring with Prometheus and Grafana, and Git-based collaboration.

Develop and maintain software solutions supporting national security missions. The engineer will assist with daily software engineering responsibilities and contribute to timely, innovative solutions using Python, Kotlin, Java, Terraform, Elasticsearch/OpenSearch, and AWS. The role requires substantial experience on comparable programs, a relevant bachelor's degree or equivalent experience, and an active Top Secret/SCI clearance with a favorable polygraph.

Develop and maintain system management infrastructure software and services for high-performance computing systems in Linux environments. Automate tasks using Bash and Python, apply CI/CD practices, manage Git-based development workflows, and collaborate within Agile methodologies. The role supports mission-critical government systems and requires an active Top Secret/SCI clearance with a favorable polygraph. Preferred experience includes Ansible, containerization, secret management, IAM, datacenter management, observability, and Atlassian tools.

Administer, maintain, and provide operational support for highly available Kubernetes clusters in a secure Linux-based PaaS environment. Responsibilities include cluster administration, workload troubleshooting, scripting, containerization, infrastructure automation, Helm chart development, monitoring, source control, security compliance, scalability, and performance optimization. The role supports mission-critical applications and requires an active Top Secret/SCI clearance with favorable polygraph.

Develop and integrate Python microservices for SIGINT mission systems. Containerize services with Docker, deploy them to Kubernetes using Helm, integrate system interfaces, support service-oriented architecture, automate development and deployment with Bash, and troubleshoot Linux-based containerized services. The role is onsite at Fort Meade and requires active TS/SCI clearance with a full-scope polygraph.

Lead and deliver secure, scalable cloud-native software solutions; write and review code; drive AI-assisted engineering adoption; evaluate vendors; promote operational stability and engineering best practices.

Lead Software Engineer who designs, builds, and maintains Python services and data/AI pipelines; writes and optimizes SQL; triages and debugs production incidents; develops LLM-powered workflows and agentic systems; implements observability (logging, metrics, traces, alerts); drives adoption of enterprise AI-assisted engineering practices and SDLC automation; and documents system behavior and support procedures.

Leads design, development, testing, troubleshooting, and operational stability for real-time, mission-critical Python systems. Drives AI-assisted engineering practices, cloud-native delivery, automation, resiliency, security, and performance optimization. Evaluates architecture and technology with vendors and internal teams, leads software engineering communities of practice, and coaches engineers on responsible, secure, and compliant use of AI tools and large language models.

Lead design, development, testing, and operation of scalable data pipelines and analytics solutions. Build and deploy production data processing applications, troubleshoot and improve operational stability, lead vendor/architecture evaluations, and champion responsible AI-assisted engineering practices. Coach teams on secure AI adoption and validate model outputs while promoting automation and reuse across the team.

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

Develop scalable backend systems and high-performance data infrastructure using Python, AWS, databases, search technologies, and event-driven microservices. Responsibilities include writing maintainable code, optimizing distributed systems, improving product quality and security, collaborating with full-stack and machine learning engineers, delivering user-facing features, and prototyping new technologies.

Lead and mentor a software engineering team to design, build, and operate secure, scalable cloud-native applications using Java and Python. Drive architecture reviews, CI/CD automation, observability, AI-assisted engineering practices, and data governance while ensuring operational stability and compliance.

Lead technical delivery for analytics-focused software: design, develop, test, and operate secure, high-quality production code. Drive automation and CI/CD, evaluate vendor/architecture choices, mentor junior engineers, and promote resilient cloud-native solutions within financial services technology teams.

Lead and architect production-grade trading systems for Credit Pre-Trade Technology, build AI-native platforms, develop and maintain secure scalable code, partner with trading and product teams, drive AI-assisted engineering practices, support production stability and automation, and lead technical evaluations and communities of practice.

Lead a cross-functional agile team to design, build, test, and operate scalable, secure full‑stack applications. Implement microservices (Java/Spring Boot or Python), cloud-native architectures, RESTful APIs, and high-volume data processing with SQL/NoSQL. Drive code quality, automation/CI-CD, vendor evaluations, and engineering communities of practice while improving operational stability and observability.

Lead design, development, and production support of secure, cloud-native data and analytics systems. Drive adoption of AI-assisted engineering practices, improve automation and resiliency, evaluate vendor solutions, and mentor teams on secure, scalable software delivery.

Develop production-grade Python applications and API integrations using Django, FastAPI, or Zope REST Framework. Build ETL and data integration solutions, process XML and JSON, write complex SQL and MySQL queries, and parse PDF and Excel documents into structured JSON. Conduct code reviews, mentor developers, and collaborate with cross-functional teams.

Develop software applications in Python, integrate third-party and portfolio management APIs, build ETL and data integration solutions, process XML and JSON, work with MySQL and complex SQL, extract information from PDF and Excel documents, conduct code reviews, and mentor developers.

Leads the architecture and development of scalable, cloud-native backend systems using Python. Coordinates engineers, sets technical direction, establishes engineering standards, mentors teams, and drives technical roadmaps. Designs highly available, fault-tolerant systems with strong security and disaster recovery. Collaborates with product, infrastructure, operations, customers, and external partners while optimizing performance, reliability, and maintainability.

Modernize legacy SAS data-processing systems by translating logic into scalable, high-performance Python solutions. Build and optimize large-scale data pipelines using formats including SAS, Parquet, JSON, and SQL. Integrate PostgreSQL, implement parallel processing, automated testing, data validation, and quality assurance, and maintain well-documented code. Collaborate with IT specialists and stakeholders to validate requirements, troubleshoot issues, and deliver cloud-native modernization solutions.

Develops and maintains control-plane software for Layer 2 networking and switching systems. Responsibilities include requirements analysis, software design, C/C++ implementation, unit and integration testing, test automation, performance optimization, troubleshooting, root-cause analysis, and collaboration with architects and distributed teams. The role also contributes to technical specifications, customer issue resolution, standards, white papers, and patents.