Top Remote Software Engineer Jobs in Baltimore, MD

Build and maintain Rocket Money’s Autopilot banking and investment systems. Responsibilities include developing React interfaces and Node.js/GraphQL backends, making architecture decisions, collaborating with stakeholders, managing vendor integrations, improving observability and performance, and owning the technology lifecycle from planning through production maintenance.

Develop production software for maritime route optimization, vessel performance and fuel-consumption modeling, voyage analysis, simulation, and route evaluation. Build and improve optimization algorithms, APIs, services, testing, and explainable recommendation systems using Rust and Python. Collaborate with engineers, product experts, and maritime specialists to translate complex physical and mathematical problems into maintainable software supporting U.S. Government and defense customers.

Build and operate AI agent systems with customer engineering teams, helping move prototypes into reliable production systems. Design agents, improve evaluations, monitoring, scaling, and reliability, and train customers on the Mastra framework. Translate recurring customer challenges into open-source framework improvements, fix performance issues, ship new primitives, improve code quality, and influence the product roadmap through production insights.

Designs and implements analytics and query capabilities in Elasticsearch, develops data-intensive features, resolves complex bugs, optimizes data structures and algorithms, and contributes modern Java code. Collaborates autonomously with globally distributed engineering, UI, solutions, and open-source communities. Provides technical expertise, guides projects from design through delivery, and uses AI to accelerate development, debugging, and code optimization.

Leads the technical vision, architecture, development, and delivery of FOS software products. Manages and scales engineering teams, drives modernization from legacy to modern technology stacks, oversees cloud, microservices, APIs, CI/CD, quality, security, and reliability practices, and collaborates with product and business stakeholders. The role also supports talent recruitment and development, compliance with SOC 2 requirements, disaster recovery planning, and continuous engineering improvement.

Lead an engineering team delivering automated month-end close pipelines for client accounting teams. Oversee ERP integrations, SQLMesh and DuckDB transformations, journal-entry outputs, controls, reconciliations, exception handling, and approval workflows. Maintain architectural boundaries across Elixir, Python, and platform components while converting bespoke client solutions into reusable capabilities. Manage technical roadmaps, multiple client engagements, engineering standards, and team development while partnering with accounting, delivery, technology, and product stakeholders.

Develop full-stack mission planning and command-and-control software for space communications programs. Build responsive interfaces with modern JavaScript frameworks, backend services and APIs using Python and SQL, and containerized applications. Own features through testing and deployment, write automated tests, collaborate with QA and cross-functional teams, and improve software usability, security, performance, and reliability in highly secure government environments.

Join a remote engineering team to write, test, and maintain code under senior guidance; participate in code reviews, standups, and sprint planning; debug and resolve application issues; and continuously learn new technologies and best practices.

Develop, test, implement, optimize, and maintain scalable software systems. Collaborate with product managers, designers, and engineers; troubleshoot technical issues; conduct code reviews; contribute to architecture decisions; follow secure coding practices; and participate in Agile ceremonies.

Build full-stack AI-powered video creation and collaboration tools, including rich multimedia interfaces, backend APIs, server-side processes, LLM-powered features, and conversational experiences. Work with generative AI, computer vision, and machine learning models in production. Improve system performance, reliability, and code quality while rapidly prototyping and delivering product features in a collaborative, high-ownership environment.