Top Python Jobs in Baltimore, MD

Senior DevOps engineer responsible for automating and optimizing build/deploy processes, implementing CI/CD, managing containerized workloads (Docker/Kubernetes), provisioning infrastructure as code (Terraform/CloudFormation) on AWS, and collaborating with teams to deliver production-ready, secure infrastructure.

Administer, maintain, and provide operational support for a secure, multi-tenant Linux-based PaaS Kubernetes environment. Ensure cluster reliability, scalability, security compliance, performance, and troubleshoot Kubernetes workloads. Integrate, install, configure, upgrade, and support COTS/GOTS software. Develop automation and scripts (Bash/Python), manage containerization (Docker/Podman), deploy Helm charts, use IaC/Ansible, and monitor systems with Prometheus/Grafana.

Develop, sustain, and troubleshoot the project's software suite. Implement, test, and integrate applications with COTS and FOSS products. Create scripts and services, support CI/CD and containerized deployments, and provide operational/call-in support to meet mission requirements.

Mid-level software engineer to support a defense program: develop and maintain Zabbix integrations and scripts using Python and Java in a Linux/CSC environment. Must hold active Top Secret/SCI with favorable polygraph and be a U.S. citizen. Direct hires only.

Design, implement, and optimize data ingress/egress and distributed processing pipelines. Build and orchestrate scalable workflows using Apache Airflow and Spark, perform data wrangling and validation with Python (pandas/NumPy), query large datasets with SQL, and automate tasks via Linux/Bash. Ensure data quality and use tooling like Jupyter and Git to support analytics workloads.

Administer, maintain, and support a secure, multi-tenant Linux-based PaaS Kubernetes environment. Ensure platform reliability, scalability, security compliance, and cluster performance. Integrate, install, configure, upgrade, and support COTS/GOTS software. Develop automation and scripts (Bash/Python), manage containers, deploy Helm charts, use IaC/Ansible, monitor with Prometheus/Grafana, troubleshoot Kubernetes workloads, and collaborate via Git.

Develop and maintain cloud-based software solutions using AWS managed services. Work with big data technologies (Hadoop, Accumulo), infrastructure as code (Terraform), and backend languages (Java, Python). Support mission-critical systems for national security; candidate must hold active Top Secret/SCI with favorable polygraph and meet required education/experience thresholds.

Lead design, build, and operate scalable backend services and carrier integrations. Provide technical leadership, mentor engineers, drive architecture and best practices, write and test code, troubleshoot production incidents, and improve monitoring and reliability while collaborating with product and cross-functional teams.

Build and maintain internal Python platform libraries and tooling to improve developer experience. Drive runtime, dependency, testing, delivery, monitoring, and performance optimization for Python services (including GPU-enabled workloads). Collaborate cross-functionally to define an opinionated SDLC, support on-call rotations, and balance modern practices with risk-aware change. Enable scalable, low-latency distributed systems and provide AI/ML-facing platform capabilities.

Seeking a Full Stack Engineer to develop and scale the platform using React and Python. Responsibilities include building frontend applications, developing APIs, managing workflows, and optimizing databases.

Design and build full-stack applications that expose AI/ML insights. Develop backend services in Python, RESTful APIs, and containerized microservices. Build high-performance front-end interfaces with React/Vue/Angular. Implement cloud-native solutions on Google Cloud or Azure, manage relational and NoSQL databases, apply testing and CI/CD, and participate in Agile development and architecture sessions.

Develop production-grade Python solutions to integrate with complex third-party APIs, parse and flatten messy data, automate infrastructure tasks, write and optimize PySpark transformations in Microsoft Fabric, build internal tooling/CLIs, and ensure code quality, testing, and CI/CD integration.

Senior iOS developer responsible for implementing native iOS features, improving user experience, participating in agile squads, conducting code reviews, troubleshooting customer issues, and helping modernize backend services on AWS. Collaborates with product and UI teams and documents technical knowledge while following best practices.

Design, build, test, and maintain backend applications using FastAPI and SQLAlchemy. Implement database schemas, integrate front-end components, optimize for performance and scalability, debug issues, participate in code reviews, and collaborate on feature design. Maintain clean, testable code and stay current with best practices.

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.

Build, integrate, and stress-test full-stack applications and backend services that leverage advanced AI models. Develop production APIs, front-end features, databases, and cloud infrastructure; troubleshoot integrations; prototype rapidly and deliver high-quality code and documentation in fast-moving environments.

Build and own backend surfaces for Plane: APIs, data models, migrations, real-time sync (CDC/event streams), caching, and query performance. Instrument, monitor, and debug production incidents; collaborate with product and frontend teams across locations.

Lead technical consultant responsible for full software development lifecycle: estimating, design, implementation, testing, deployment, and support. Serve as technical lead and mentor, translate requirements into technical designs, collaborate with architects and developers, and communicate solutions to technical and non-technical stakeholders.

Build and maintain Django-based web applications, design RESTful APIs, implement frontend features (HTML/CSS/JS), optimize performance and security, collaborate with cross-functional teams throughout the development lifecycle.

Design and implement scalable backend and distributed systems for a marketing intelligence platform. Build near-real-time ingestion and processing, scale an incrementality/experimentation product, integrate AI-powered workflows, improve data ingestion/exports and connection-state systems, and contribute frontend components to deliver end-to-end product experiences.

Nagarro seeks an Associate Principal Engineer with extensive IT experience in Python to drive strategic value and innovation in product engineering.

Lead hands-on development of scalable, secure enterprise applications. Partner with business stakeholders to design and deliver full-stack solutions using Python, React/Next.js, REST APIs, microservices, and cloud platforms (AWS). Work with enterprise data platforms (Snowflake, Databricks, PostgreSQL, SQL Server) to prototype and productionize impactful software.

Senior backend engineer on an education-focused technology consulting team. Own complex backend systems end-to-end: estimate scope, build and support production Python services, design REST/GraphQL APIs, work with cloud and Docker, use relational databases, maintain strong automated tests and Git workflows, and represent technical work to clients. Role values mentorship, ownership, and mission-driven work.

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.