Top Software Engineer Jobs in Baltimore, MD

Design and implement motion-planning software for autonomous vehicles, including behavior planning, trajectory generation, safety constraints, and real-time embedded performance. Integrate planning with perception, prediction, localization, and control systems. Validate solutions through simulation, closed-course trials, and on-road testing while addressing complex edge cases and collaborating with vendors, AI teams, and customers.

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.

Develop, test, maintain, and modernize Java and Angular applications, RESTful APIs, database integrations, microservices, and containerized deployments. Support Spring Boot migrations, Kubernetes environments, CI/CD pipelines, automated testing, architecture and code reviews, troubleshooting, documentation, and database administration across cloud and on-premises infrastructure. Collaborate on requirements analysis, software design, DevSecOps practices, and continuous improvement while supporting federal government customers.

Develop, test, maintain, and enhance enterprise Java applications, RESTful APIs, backend services, and relational database solutions. Support containerization, Kubernetes deployments, application modernization, automated testing, GitLab CI/CD, Agile development, architecture discussions, code reviews, troubleshooting, and full software development lifecycle activities in secure federal environments.

Develops, maintains, tests, debugs, and enhances complex software systems based on documented requirements. Designs and implements software, algorithms, database interfaces, and queries; integrates systems; resolves defects; analyzes performance; and contributes to system design, documentation, testing, and development process improvements. May lead software teams and requires experience supporting comparable federal programs.

Develop and maintain COBOL-based Medicare claims processing software in a legacy mainframe environment. Responsibilities include designing, coding, debugging, unit testing, implementing enhancements, troubleshooting defects, supporting Agile/Scrum delivery, preparing estimates, maintaining documentation, and collaborating with team members, clients, and vendors. The role supports Durable Medical Equipment claims processing and requires adherence to structured development standards.

Develops, maintains, enhances, reviews, and tests complex software systems based on documented requirements. Responsibilities include software design, coding, problem resolution, requirements analysis, technical documentation, readiness reviews, and presentations. The role may involve analytics, algorithm development, large data sets, real-time systems, and business information systems while following government software development procedures.

Build and expand fintech and payment systems using Go, microservices, databases, and cloud technologies. Design production APIs and tooling, diagnose customer issues, manage full release lifecycles, document systems, and mentor engineers. Collaborate with product and business teams while guiding AI agents to produce maintainable, observable, testable code that meets engineering standards. Work independently in a high-availability environment and contribute to next-generation financial products.

Provides architectural and technical leadership for institutional exchange systems, including matching engines, order management, market data, risk, and unified trading platforms. Leads ultra-low-latency distributed-system design, cross-team technical alignment, reliability standards, incident response, and multi-quarter initiatives. Maintains hands-on engineering contributions while mentoring senior engineers and developing technical leadership across teams.

Build and operate backend services, APIs, data models, event-driven pipelines, internal applications, and integrations supporting high-volume grading operations. Develop end-to-end features with JavaScript, TypeScript, and Vue.js; troubleshoot data, service, integration, and UI issues; contribute to system design, testing, observability, documentation, and on-call support. Collaborate with Product, Technology, and Operations teams to create scalable systems and improve engineering practices.

Lead technical direction and multi-quarter delivery for a platform modernization effort. Architect TypeScript, Java, PHP, and cloud systems; guide monolith decomposition, distributed services, databases, observability, security, and operational excellence. Mentor engineers, coordinate stakeholders, establish engineering standards, and lead responsible adoption of AI-assisted development across the organization.

Lead the technical direction and architecture of Grafana Cloud’s Session Replay product across frontend, backend, and data systems. Design columnar storage, ingestion pipelines, data models, and query patterns for high-volume session data. Build cross-product debugging workflows, partner with customers and internal teams, improve engineering practices, make architectural decisions, and mentor engineers.

Staff Software Engineer leading hands-on full-stack development across C#/.NET services, Angular interfaces, databases, and AWS-hosted applications. Builds healthcare data integrations using HL7, FHIR, and X12 EDI; modernizes legacy systems; improves performance; applies secure coding and HIPAA practices; supports production incidents; reviews code; mentors engineers; and collaborates with product and QA teams.

Develop and maintain a Java and Drools business rules engine governing eligibility, suppression, frequency, and consent. Build Spring services, REST APIs, and Kafka integrations; ensure correctness, performance, testing, resiliency, and compliance in a PHI-handling environment. Collaborate with Product and compliance teams, participate in code reviews, and support cloud-based Kubernetes deployments.

Lead technical strategy, build and maintain software systems using AI, mentor early-career engineers, collaborate across disciplines, and protect user privacy and security. The role involves developing scalable systems on AWS and Kubernetes while working with healthcare data and adhering to HIPAA and data-security best practices.

Lead architecture and roadmap for a company-wide data lakehouse platform. Build platform-as-product components (SDKs, CLIs, control planes), optimize distributed compute/storage, prototype performance R&D, ensure compliance-by-design (lineage, PII masking, access control), enable real-time AI data ingestion, drive engineering standards, and mentor cross-functional teams.

Design, build, and scale backend services, APIs, and workflow systems supporting healthcare claims identification and recovery. Integrate AI/ML models, legal datasets, and transactional data while developing fault-tolerant Temporal workflows. Maintain AWS infrastructure and secure deployment pipelines using Python, TypeScript, PostgreSQL, Redis, and related technologies. Collaborate with product, business, and data science teams to deliver reliable, secure, high-performance systems in a regulated startup environment.

Designs, implements, tests, and operates Azure Data services in a highly secure, air-gapped environment. Writes maintainable code, participates in code reviews, builds test automation, supports live-site operations and on-call duties, and follows security/compliance practices including use of AI tools across the SDLC.

Develop and maintain full-stack web applications, workflow automation, dataflows, and analytic tools supporting intelligence operations. Collaborate with analysts, operators, developers, and customers to identify inefficiencies, iteratively deliver solutions through CI/CD, gather feedback, and improve mission workflows. Work in Linux environments with relational databases and potentially JavaScript, Python, Svelte, observability tools, open-source platforms, and cryptography.

Develop and maintain web applications, workflow automation, and dataflow solutions supporting intelligence operations. Collaborate with analysts, operators, developers, and customers to identify inefficiencies, iteratively deliver solutions through CI/CD, and incorporate real-time feedback. The role requires full-stack web development, relational database experience, Linux development, cross-domain solutions, customer communication, and familiarity with Atlassian tools and AI-assisted development.

Develop and maintain scalable full-stack web applications using TypeScript, Java, Node.js, HTML, CSS, and MS SQL in a microservice environment. Build AI-powered solutions using LLMs, RAG pipelines, GenAI agents, vector databases, and AI orchestration frameworks. Responsibilities include frontend development, performance optimization, debugging, code reviews, data integrity, and collaboration with AI/ML teams. The role is remote and requires CST availability and high-speed wired internet.

Own and evolve high-scale backend and data-layer services. Design, build, test, and operate distributed backend services and APIs, improve reliability/latency/scale, take end-to-end ownership from design through production support, participate in on-call and incident response, and mentor peers while partnering with Product and SRE teams.

Design, build, and operate scalable cloud-native platform services for phone numbers and KYC compliance. Own end-to-end feature delivery, technical specifications, APIs, microservices, tooling, reliability, security, and incident remediation. Use AI-assisted development to accelerate coding and testing, collaborate with product and engineering stakeholders, mentor junior engineers, and contribute to platform modernization, operational excellence, and regulatory solutions.

Lead technical direction for Elastic’s core billing platform across cloud providers. Design and operate scalable billing systems, data pipelines, APIs, and PostgreSQL architecture. Improve reliability, observability, incident response, deployment, and CI/CD practices. Partner with SRE, Cloud Infrastructure, Product, Design, and Finance teams, guide architecture and roadmap decisions, review technical work, mentor engineers, and participate in on-call rotations.

Design, build, deploy, and maintain resilient, scalable production systems for Toast’s retail customers. The role sets long-term technical architecture and strategy, communicates technical direction, mentors senior engineers, improves engineering productivity, diagnoses performance issues, and drives initiatives amid ambiguity. Engineers collaborate directly with retail customers, visit stores, understand operational workflows, and use AI tools to improve development velocity and quality.