Top Senior Python Jobs in Baltimore, MD

The Senior-Level Python Developer will support a cybersecurity initiative, developing network protocol parsers, analytics solutions, and detection capabilities for anomalous network activity.

Design, develop, and maintain scalable Python applications and cloud-native solutions. Architect microservices, containerized deployments (Docker/Kubernetes), optimize cloud infrastructure, build CI/CD pipelines, integrate messaging systems, ensure security and high code quality, and mentor junior developers. Generative AI/ML experience is a plus.

The Senior Full Stack Developer will design, develop, test, and debug software solutions, collaborating with teams and optimizing applications. Responsibilities include user interaction design, back-end functionality, and ensuring software scalability and security.

The Principal Python Engineer will design, build, and maintain backend services and APIs, focusing on system reliability and engineering quality. The role involves working with databases, applying DevOps practices, and leveraging AI for development efficiency.

The Python Engineer will write maintainable Python software, lead technical initiatives, collaborate globally, and contribute to community engagement at Canonical.

The Senior Python Software Engineer at GliaCell is responsible for developing and supporting critical software solutions for U.S. Government clients, utilizing Python and various technologies in the cybersecurity domain.

The Senior Python Engineer will develop and support MongoDB Python drivers, enhance library quality, and collaborate on product features.

The DevOps Engineer will implement infrastructure, automate deployment processes, manage Kubernetes containers, and ensure service reliability, scalability, and continuous improvement.

The Cloud Platform Engineer will develop software components, integrate open-source code, and manage virtual infrastructure in AWS, requiring strong systems integration skills and cloud technology experience.

Looking for a Cloud Platform Engineer to develop custom software, manage infrastructure in AWS, and solve complex problems autonomously in a hybrid environment.

Seeking a highly motivated DevOps Engineer with extensive experience in AWS, Linux, and automation. Responsibilities include managing cloud infrastructure, automating deployment processes, and collaborating with development teams to enhance reliability and performance.

The DevOps Engineer will automate deployment processes, manage cloud infrastructure, and collaborate with development teams to ensure reliable services. This role involves troubleshooting, monitoring systems, and continuous improvement of processes.

The Cloud Platform Engineer will develop software components, manage cloud infrastructure in AWS, and ensure system integration while enhancing existing codebases.

The Senior-Level Full-Stack Developer will capture software requirements, develop and deploy analytic solutions, and ensure compliance with policies.

The Principal-Level Software Engineer develops custom analytics, integrates solutions, collaborates with data scientists, and supports operationalizing data science at scale.

The Senior-Level Analytic Engineer will develop and deploy analytic capabilities, maintain applications, and collaborate with stakeholders to enhance network data analysis.

As a Staff Software Engineer, you’ll lead the design and reliability of Duetto's data lakehouse, evolving data systems using Python and AWS, ensuring data quality, and implementing AI-driven solutions.

Develop and maintain backend solutions, ensuring performance, security, and regulatory compliance, while collaborating in cross-functional teams.

The Sr. Software Engineer develops and enhances software systems, implements data pipelines, monitors data science tools, and integrates model outputs within security systems while adhering to software design methodologies.

Design and build applications using Python, manage component design, optimize performance, and collaborate with clients on innovative products.

Design and implement durable, fault-tolerant AI orchestration and backend systems using Temporal and agentic ReAct patterns. Deliver features end-to-end with testing, CI/CD, monitoring, and observability; mentor engineers and collaborate with cross-functional teams to translate legal workflows into reliable AI-powered features.

Design, implement, and maintain SaaS features using Python and React on AWS. Lead system design, code reviews, CI/CD pipelines, AI-integrated development (LLMs and AI coding agents), prompt engineering, testing (Cypress), and on-call production support. Mentor teammates and ensure secure, scalable, well-documented software.

Develop, test, deploy, and sustain Python-based REST endpoints and microservices using Django/Flask, interfacing with MariaDB or MongoDB, providing middleware and backend support for mission-critical government systems focused on automation and continuous monitoring.

Develop middleware and backend support for applications, create Python ReST endpoints, manage data models, and improve software documentation and processes.

Design and build end-to-end AI-driven automation to replace manual operational workflows. Partner with ops, sales, and support to discover problems, architect agentic orchestration, deploy production systems, measure impact, and iterate with robust guardrails and error handling.