Top Senior Python Jobs

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.

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.

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 full-stack development and modernization of cloud-based investment technology platforms. Designs APIs, user interfaces, AWS infrastructure, integrations, CI/CD pipelines, and production support processes. Oversees code reviews, testing, security, documentation, root-cause analysis, and operational improvements. Partners with investment, product, operations, vendors, and technology stakeholders to define requirements and deliver scalable solutions. Provides technical leadership, mentorship, governance, and delivery oversight across employees, contractors, and vendor teams.

Lead full-stack development and modernization of cloud-based investment platforms supporting portfolio management and trading. Design secure APIs, user interfaces, AWS infrastructure, and CI/CD pipelines; oversee production operations, testing, releases, documentation, and code reviews. Partner with business teams, vendors, and global stakeholders to define solutions, troubleshoot issues, and improve reliability. Provide technical leadership, mentorship, governance, security assessments, and root-cause analysis across development teams and investment technology systems.

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.

Design, build, deploy, and maintain production-ready backend software using Python and Django. Develop APIs, data models, performance optimizations, and secure systems while occasionally contributing to React, TypeScript, infrastructure, and CI/CD work. Collaborate cross-functionally to deliver reliable product experiences and continuously improve technical capabilities.

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 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 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 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.

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.

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.

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.

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.