Top Software Engineer Jobs in Baltimore, MD

Forward Deployed Engineer responsible for managing client relationships, supporting end-to-end data product implementations, ensuring data quality and adoption, and coordinating account and engineering teams. The role develops scalable data pipelines and product lines, applies SQL or Python and statistical methods, creates visualizations, documents code, trains employees, and drives customer value. Experience with data products, retail or consumer data, BI infrastructure, and alternative data sources is valuable.

Build and operate reliable backend systems and APIs for high-traffic products. Responsibilities include distributed system design, data modeling, service architecture, performance tuning, automated testing, observability, incident management, and end-to-end feature delivery. The role partners with Product and Design, makes architecture decisions, mentors engineers, and applies AI-assisted development tools responsibly.

Leads Huge’s global technology practice, engineering teams, client technology strategy, project delivery, innovation, and organic business development. Oversees complex web and mobile solutions, architecture, quality, security, vendors, and distributed teams. Guides adoption of AI, cloud, microservices, DevOps, e-commerce, enterprise platforms, and modern development practices while mentoring technical talent and communicating effectively with executives and cross-functional partners.

Designs, develops, implements, tests, and maintains PTC Windchill PLM solutions and ThingWorx integrations for Department of Defense customers. Leads architecture, customization, data migration, enterprise integration, testing, troubleshooting, documentation, training, and end-user support while managing a small technical team. Requires expertise in Windchill architecture, development, migration methodologies, SQL, Java, security configuration, and related enterprise technologies.

Own customer outcomes from discovery through production deployment. Build decision systems using ontologies, reasoning, graph analytics, optimization, and machine learning over enterprise data. Write Python, SQL, and PyRel; debug unfamiliar systems; tune performance; harden deployments; document reusable solutions; and upstream platform improvements. Lead technical workshops and proofs of concept while partnering closely with customers, Product, and Engineering.

Develop and maintain Microsoft Power Platform solutions for CDC mission programs. Responsibilities include designing solution architectures and data models, building Power Apps and Power Automate workflows, configuring Dataverse, modernizing legacy applications, integrating APIs and Azure services, reviewing technical solutions, supporting Agile delivery and testing, troubleshooting defects, documenting deployments, and maintaining production systems. The role also ensures federal security, privacy, governance, and Section 508 accessibility compliance.

Own and evolve Argo Workflows and Argo Events, make major architectural decisions, and build Pipekit’s enterprise control-plane product. The role includes shaping the roadmap, shipping customer-focused features, engaging with open-source contributors and customers, participating in an on-call rotation, and speaking at cloud-native conferences. Candidates should have strong statically typed programming skills, Kubernetes expertise, production-systems experience, excellent written communication, and a self-directed, customer-focused approach.

Design, develop, and maintain scalable backend services and APIs (Node.js, Firebase). Optimize performance, ensure code quality via reviews and unit tests, debug and upgrade systems, and contribute to frontend work as needed. Stay current on backend and Gen AI integrations and collaborate across the team.

Own end-to-end supplier integrations: design, implement, test, and monitor third-party APIs. Ship weekly, improve tooling and abstractions, ensure reliability, and mentor peers. Use AI-assisted workflows to speed integration development.

Build scalable simulation and planning systems for complex communications networks. Model hypothetical scenarios, allow users to vary configurations and assumptions, evaluate impacts, compare tradeoffs, identify risks, and integrate simulation capabilities into broader product workflows. The role involves full-stack engineering across design, development, testing, and operations, with emphasis on distributed systems, algorithms, network modeling, and computational reliability.