Top Python Jobs in Baltimore, MD

Build and maintain scalable backend applications, serverless functions, microservices, data workflows, ETL pipelines, and cloud-native architectures using Python and AWS. Manage databases, APIs, batch jobs, and real-time integrations while optimizing performance, scalability, security, compliance, and cost. Collaborate with product, engineering, analytics, and data teams; contribute to architecture, CI/CD, infrastructure automation, development standards, and technical mentorship. Healthcare claims data experience is required.

Develop and maintain back-end systems with emphasis on APIs, processing-intensive analytics, real-time systems, and large data sets. Review and test software components, resolve defects, contribute to system design (hardware/software trade-offs, reuse, COTS/GOTS), and perform requirements analysis and documentation.

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

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.

Seeking a Principal Python Software Engineer to support U.S. Government contracts, providing software engineering expertise with a focus on critical mission software and systems.

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.

Build and maintain scalable Python-based AI applications under senior guidance. Assist with requirements, feature implementation, data modeling using Pydantic, code reviews, troubleshooting, testing, and CI/CD. The role requires collaboration, communication, and willingness to learn modern Python tools, frameworks, and libraries. Candidates should understand object-oriented programming, REST APIs, large language models, and AI coding tools. The position is fully remote within the United States.

Design and develop scalable Python-based APIs, integrate AI/ML, deploy solutions on AWS, and collaborate in agile teams.

The Python API Developer will design and develop scalable Python APIs, integrate AI/ML models, deploy solutions on AWS, and collaborate with teams to enhance application performance.

The Python API Developer will design and build scalable, secure APIs, integrate AI/ML capabilities, and deploy solutions in AWS, collaborating with agile teams.

Develop and maintain scalable Python APIs, integrate AI/ML models, deploy solutions in AWS, and collaborate with cross-functional teams.

Develop open source SDKs, enterprise APIs, UIs, and backend systems supporting large-scale computer vision datasets. Build scalable, maintainable, performant, and well-tested software for unstructured data and AI workflows. Contribute to enterprise deployments across customer clouds and on-premises environments, while improving tooling, automation, engineering practices, and open source community initiatives in a remote-first team.

Lead development and sustainment of compliance and business analytics tools for a government mission. Prototype and integrate ML/AI algorithms, automate compliance functions, build monitoring/metrics, and support RD proof-of-concepts while working in an Agile environment.

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.

Design and evaluate performance engineering tasks for AI training/evaluation. Optimize runtime, compilers, memory, CPU/GPU and concurrency. Produce documented solutions, evaluate AI-generated code, and build evaluation frameworks and scoring rubrics while collaborating with researchers and SMEs.

The Backend Software Engineer will develop and maintain backend systems for data processing related to coffee farming, utilizing Python and PostgreSQL. Responsibilities include feature development, problem-solving, and adapting systems to regulatory changes while ensuring system resilience.

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.

Develop and maintain high-scale, high-availability Python server applications. Build and consume REST/SOAP/JSON APIs, integrate message-bus systems, work with Cassandra and distributed system frameworks, and apply algorithms, networking, and OS knowledge within Agile/Scrum teams.

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.