Top Software Engineer Jobs in Baltimore, MD

Design, build, and maintain scalable backend services, APIs, databases, data flows, and infrastructure. Lead complex features from design through deployment while improving performance, observability, security, reliability, and testing. Integrate third-party systems, support cloud infrastructure and CI/CD practices, and provide technical mentorship and guidance to engineers.

Designs, builds, and maintains scalable backend services, APIs, databases, data flows, and infrastructure. Leads complex features from design through deployment while improving performance, observability, security, testing, and reliability. Integrates third-party platforms, supports cloud infrastructure and CI/CD practices, and mentors engineers through technical guidance and knowledge sharing.

Design and build complex customer-facing product features, own technical decisions, contribute to architecture and technical direction, uphold code quality, mentor engineers, and support production incidents. The role collaborates closely with Product and Design across a modern web stack including React, TypeScript, Node.js, .NET, relational databases, and Microsoft Azure.

Develop cloud-native B2B SaaS platform services and user interfaces using C#, .NET, React, databases, and microservices. Responsibilities include architecture and design, hands-on feature development, code reviews, API and third-party integrations, technical documentation, debugging, proof-of-concepts, security and compliance implementation, and technical support. Collaborate within agile scrum teams and with product stakeholders to deliver scalable, secure, maintainable enterprise solutions.

Provides application development, configuration, troubleshooting, documentation, testing, and administration across enterprise and SaaS platforms. Works with analysts and business users to gather requirements, automate workflows, support change control, and maintain custom processes. Develops solutions using Microsoft, Atlassian, Oracle, Dynamics, and data movement platforms, while supporting compliance, after-hours assistance, and backup administration.

Develops, tests, maintains, and enhances software applications throughout the production lifecycle. Responsibilities include coding, performance testing, debugging, documentation, project planning, code reviews, mentoring, end-user training, and researching development technologies. The role supports cloud-native, API-first, microservice, CI/CD, and DevOps practices while collaborating with IT teams and business stakeholders.

Develops, tests, documents, enhances, and maintains software applications supporting business requirements. Collaborates with internal teams to define specifications, writes and debugs code, monitors performance, prepares status reports, trains end users, and supports application improvements. The role uses C#, .NET, React, AWS, databases, shell scripting, source control, and development tools. On-call availability and some travel may be required.

Design and oversee full-lifecycle software development using AI-assisted engineering practices. Define system architecture, APIs, data models, testing strategies, security, reliability, and observability. Direct AI-generated implementation, validate code and tests, manage deployments and incidents, and coach engineers on effective agentic development. Build and operate scalable cloud systems, event-driven services, and customer-facing applications while collaborating with Product and Design.

Own full-stack features end to end, including system design, implementation direction, testing, deployment, production operations, and incident response. Use agentic AI to generate code, tests, and reviews while validating quality and security. Build production APIs, data models, authentication, schemas, migrations, and scalable SQL. Collaborate with Product, Design, and DevOps, and apply secure coding practices. Bonus experience includes RAG, LLM evaluation and observability, or TypeScript frontend development.

Develop scalable, secure, performant web applications and data pipelines for healthcare technology. Partner with engineering, product, and business stakeholders on technical roadmaps, use Agile practices, improve observability and reliability, and mentor junior engineers through coaching and code reviews. Responsibilities include database querying, technical decision-making, API development, data ingestion, cloud technologies, containerization, CI/CD, and handling sensitive data.

Design, develop, test, and optimize safe, scalable real-time software for production autonomous vehicle systems. Architect continuous learning infrastructure for ML model deployment and monitoring, analyze algorithms, and collaborate with embedded, platform, AI, sensor, and compute teams. Support perception, prediction, and planning integration while contributing to highway and urban autonomous driving capabilities.

Develop productionized machine learning workflows, cloud infrastructure, distributed data-processing pipelines, and a multi-tenant data lake for autonomous-driving AI. Build internal APIs, CI/CD processes, and developer productivity tools while collaborating with research engineers. The role requires strong software engineering, DevOps, infrastructure-as-code, microservices, networking, and data infrastructure expertise.

Develop, enhance, troubleshoot, test, implement, and support complex digital commerce applications for PLCB, serving as a technical SME for Oracle Commerce Cloud and related Oracle systems. Responsibilities include Java and web development, Oracle Integration Cloud configuration, production support, code reviews, environment management, integrations, performance improvements, documentation, change management, testing, and PCI-compliant application delivery.

Designs, develops, and maintains .NET backend services and ASP.NET Core APIs supporting edge gateways and IoT devices. Builds applications communicating with firmware over TCP, WiFi, and offline-tolerant architectures. Responsibilities include writing tested code, conducting reviews, troubleshooting distributed systems, documenting APIs, collaborating cross-functionally, participating in Agile delivery, improving CI/CD and DevSecOps practices, and evaluating modern .NET tools and patterns.

Build and own production software systems spanning embedded systems, real-time control, cloud services, and data pipelines. Responsibilities include architecture, coding, testing, reliability engineering, observability, incident response, technical design reviews, cross-functional hardware collaboration, hiring, and mentoring. The role requires strong systems fundamentals, distributed systems experience, debugging ability, and proficiency in at least one major programming language.

Manage and develop an engineering team while owning delivery, hiring, performance, technical judgment, and escalation response. Stay hands-on with coding and architecture, use coding agents effectively, improve engineering processes, and help engineers build stronger skills in scoping, estimation, decision-making, and ownership. Balance roadmap priorities with customer commitments and turn recurring issues into lasting product improvements across HumanSignal’s AI data and annotation platforms.