Top Python Jobs in Baltimore, MD

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.

Develop, design, and deliver complex Python backend applications for acquiring, storing, and computing on large volumes of data. Lead feature implementation, ensure code quality via linting and automated tests, mentor junior developers, perform code reviews, collaborate with cross-functional teams, and troubleshoot production issues.

Develop and maintain scalable Python backend applications and RESTful APIs. Optimize performance, design and manage SQL/NoSQL schemas, implement security/authentication, write tests, automate CI/CD tasks, and collaborate with front-end, product, and QA teams.

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

Develop and maintain Python applications focusing on iterators/generators/streams, concurrency (multithreading, non-blocking I/O), and high-precision numeric handling. Work with JSON/XML, REST and SOAP APIs, ACID-compliant databases, message brokers/queues, and produce clean, SOLID code. Unit and integration testing experience is beneficial.

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

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.

The Principal Software Engineer leads the design and development of complex software systems, analyzes user requirements, oversees teams, and recommends improvements in software processes.

Mid-level software engineer to develop mission-focused solutions using AWS managed services and big-data technologies. Build and maintain scalable systems with Java and Python, infrastructure-as-code using Terraform, and work with Hadoop/Accumulo. Must support national security mission and hold required clearance.

Senior DevOps engineer responsible for automation, optimization, and deployment across AWS using Kubernetes, Terraform, Docker, CI/CD (Jenkins/GitHub Actions), scripting, and infrastructure as code. Collaborate with teams to build production-ready infrastructure and pipelines.

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.

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.

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

Develop and maintain system management infrastructure and services for HPC systems in a Linux environment. Automate processes with Bash and Python, manage secrets and IAM, containerize workloads, and orchestrate deployments with Ansible. Integrate with DCIM, CI/CD pipelines, and source control to support secure, mission-critical operations.

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.

Mid-level software engineer supporting a defense program: develop and maintain software solutions using Zabbix, Python, Java, CSC, and Linux. Must hold active Top Secret/SCI with polygraph and contribute to mission-critical systems.

Senior test engineer responsible for testing and validating HPC systems against test plans. Develop and execute test plans, automate tasks with Bash/Python, test REST APIs, create complex SQL/Splunk queries, analyze logs and results with Splunk/Kibana/Grafana, track and resolve defects, and support CI/CD pipelines using GitLab CI.

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

Design, develop, and maintain DevOps/tools and services (GitLab, Artifactory, MinIO, GitLab Runner, Jupyter, SPARTANDESK). Automate admin tasks with Bash/Python/PHP, develop Java software, implement IaC with Ansible, manage CI/CD (GitLab CI), containerize with Docker, use Git, produce system documentation, and collaborate with cross-functional teams and mission customers.

Design, implement, and maintain GitLab-based CI/CD pipelines and GitLab Runners; develop Bash and Python automation; manage containerized builds with Docker and registries; apply IaC (Ansible) and DevOps best practices; create reusable CI/CD templates and shared libraries; collaborate with cross-functional teams to automate build, test, and deployment workflows while ensuring pipeline security and reliability.

Design, develop, and maintain a distributed metrics and monitoring solution for HPC systems. Build Splunk dashboards, reports, data onboarding, field extractions, alerting, and event correlation. Automate tasks using Shell/Perl/Python, integrate log management and Kafka, and apply IaC (Ansible) and CI/CD (GitLab CI) practices with Git source control to ensure performance, reliability, and scalability.