Top Software Engineer Jobs in Baltimore, MD

Build and maintain responsive WordPress websites, landing pages, reusable templates, and digital lead-generation experiences. Use AI-assisted development tools to accelerate coding, publishing, testing, and troubleshooting while reviewing code for quality and security. Implement technical SEO, analytics, conversion tracking, integrations, performance improvements, and QA. Manage themes, plugins, staging, deployment, backups, and website security while supporting scalable publishing workflows and collaborating with marketing and business teams.

Develop and maintain scalable web applications using C#, ASP.NET Core, React, and SQL databases. Participate across the software development lifecycle, including design, coding, testing, deployment, code reviews, and Agile ceremonies. Use AI-assisted development tools, contribute to cloud-native distributed systems, apply DevOps and CI/CD practices, and collaborate with product managers and engineers to deliver customer-focused solutions.

Lead and grow a backend and full-stack engineering team responsible for Tradeify’s live trading platform. Partner with Product and Engineering teams on platform integrations, architecture, delivery, code quality, CI/CD, reliability, observability, and incident response. Remain hands-on through code reviews, design guidance, and technical problem solving while managing performance, hiring, onboarding, and cross-functional communication.

Designs, develops, tests, documents, and operates large-scale distributed software products for Allstate’s Enterprise Payments organization. Responsibilities include building Java and Spring Boot REST APIs, designing microservices, collaborating on system architecture, practicing paired programming and test-driven development, establishing CI/CD pipelines, improving performance, securing APIs, supporting production applications, and contributing to Agile planning, retrospectives, and knowledge sharing.

Provides cross-program technical authority for flight and ground software, setting architecture, standards, technical direction, and roadmap. Leads complex technical decisions, reviews, verification, security, risk management, and software readiness across programs. Mentors senior technical leaders, drives reuse and platform standardization, represents software engineering to customers and partners, and establishes AI adoption strategies across the organization. The role does not own program delivery, schedules, or line management.

Develop, maintain, enhance, and support a mission-critical HUD enterprise application using Java, JavaScript, SQL, and related web technologies. Responsibilities include full-stack development, UI and API implementation, database workflows, troubleshooting, code reviews, testing, releases, deployment support, documentation, and compliance with security and accessibility standards.

Develop and maintain LabArchives electronic laboratory notebook, inventory, and scheduler products. Collaborate with product, operations, and support teams to design, build, test, release, and improve software features across front-end, back-end, and database layers. Create unit tests and expand automation frameworks, participate in code reviews, security audits, and accessibility evaluations, and contribute to continuous improvement in a remote environment.

Design, build, and optimize scalable cloud and web software with focus on infrastructure, performance, and hardware integration for IoT devices. Collaborate with hardware teams to ensure connectivity and high availability, implement new features, and improve system efficiency.

Leads US application engineering across public and private sector engagements, building and scaling high-performing technical teams. Oversees end-to-end delivery of AI and software programs on the Symmetri Platform, ensuring quality, profitability, reusable components, and client value. Partners with Product to shape roadmaps, supports GTM activities and business development, develops senior client relationships, and drives innovation, technical excellence, talent development, and scalable delivery practices.

Build scalable data pipelines, automation workflows, internal tools, and AI-powered quality-control systems. Lead data collection projects for frontier AI labs, establish quality frameworks, improve customer support processes, and manage cross-functional execution. Collaborate with technical and non-technical stakeholders to solve ambiguous operational challenges and deliver datasets and systems that improve advanced AI models.