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.

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.

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

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.

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.

Administer, maintain, and support a secure, multi-tenant PaaS Kubernetes platform on Linux. Ensure reliability, scalability, security compliance, performance tuning, troubleshooting of containerized workloads, implement IaC/automation, deploy Helm charts, and monitor with Prometheus/Grafana.

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.

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

Lead the design and development of scalable Python backend services and APIs on AWS, mentor engineers, and manage PostgreSQL databases in a healthcare technology environment.

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.

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, 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.

Develop, sustain, and troubleshoot a suite of mission-focused software applications. Implement, test, and integrate with COTS/GOTS/FOSS; build containerized services (Docker, Kubernetes, Helm); work with NoSQL/Databases, messaging, CI/CD, and IaC. Support evolving mission needs while holding required security clearance.

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.

Administer, maintain, and support a secure, multi-tenant Kubernetes PaaS on Linux. Ensure reliability, scalability, security compliance, and performance. Troubleshoot Kubernetes workloads, develop automation and scripts (Bash/Python), manage IaC (Ansible), Helm charts, containerization, and monitoring (Prometheus/Grafana). Collaborate via Git and support mission application requirements.

Design, implement, and optimize scalable data ingress/egress pipelines and distributed processing (Apache Spark). Develop orchestration using Apache Airflow, automate with Bash/Linux, code in Python/Java, perform data wrangling in Jupyter using pandas/NumPy, query large datasets with SQL, ensure data quality, and use Git for source control.

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.

Lead backend development on the scheduling platform modernization, contribute across products, write APIs, and drive AI-accelerated software development workflows.