Top 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.

Work as a Python development intern building applications and APIs, processing and analyzing data, working with databases and data pipelines, contributing to system architecture, writing clean documented code, and collaborating with the team. Strong emphasis on backend development, SQL, ORMs, and REST API design with potential conversion to full-time.

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.

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 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.

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.

Designs, develops, tests, and maintains complex software systems for large-scale analytics and real-time processing. Analyzes requirements, debugs defects, documents test results, and recommends improvements and reuse of COTS/GOTS.

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

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.

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.

Design, develop, and optimize complex software systems (analytics, real-time, large-data processing). Build AI workflow automation, CI/CD pipelines, system integration, performance tuning, and monitoring. Work on collection systems and lead software teams.

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.

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.

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.

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.

Lead development of a document-centric web interface integrating Vertex AI Search. Build React frontends and Python backends, implement document processing, vector search/RAG pipelines, optimize performance and scalability, write tests, and collaborate with cloud and architecture teams to deliver an enterprise-grade AI platform.

Own end-to-end product features for a SaaS platform serving HR, therapists, and employees. Build, scale, and evolve frontend and backend components, lead architecture and standards, collaborate with design and product, and incorporate customer feedback and QA. Work in an early-stage startup environment with product-focused ownership.

The Senior Software Engineer will build a large-scale data ingestion and classification system using web scraping, data processing, and search technologies, overseeing data extraction from various sources and developing search capabilities.

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.

Own and evolve ClickHouse's Python connector and SDKs; build and maintain integrations with orchestration and transformation tools; design AI/LLM integration patterns (RAG, embeddings, feature stores); engage with open-source community; collaborate with Product and Cloud teams to prioritize and ship production-grade data integrations.