Top Software Engineer Jobs in Baltimore, MD

Build and own the architecture for Dune’s curated data lifecycle, including dependency-aware orchestration, backfills, schema evolution, retries, recovery, data quality, and alerting. The role combines backend software engineering with large-scale data systems work across Go, Kotlin, Rust, Python, and SQL. Responsibilities include designing ingestion and curation contracts, making architecture decisions, solving ambiguous problems, and leading work that other engineers can execute.

Leads backend engineering teams responsible for policy, billing, and financial ledger platforms. Provides technical architecture guidance, coaches engineers, manages performance, and drives scalable, secure, high-performing systems. Partners with Product and Program Management on delivery, improves engineering processes, oversees sprint and roadmap planning, models capacity, manages resources, and aligns technical execution with business goals.

Develop and test complex software applications in global team environments, with training in Java and full-stack development. Responsibilities include applying software engineering principles, troubleshooting and debugging, working with databases, following the SDLC, and practicing test-driven development. The role includes 4–8 weeks of training followed by a 12–24-month client placement with ongoing support.

Provide hands-on technical leadership for a multi-tenant learning and workforce platform. Responsibilities include coding, code review, mentoring developers, designing LMS integrations, implementing platform features, guiding architecture, maintaining CI/CD and testing practices, ensuring security and accessibility, facilitating Agile ceremonies, and communicating technical decisions to stakeholders. The role also involves identity integrations, documentation, technical estimation, and responsible adoption of AI-assisted development tools.

Designs, develops, tests, implements, maintains, and supports complex mainframe applications. Translates business requirements into technical solutions, troubleshoots production issues, performs integrations, conducts code reviews, optimizes system performance, and ensures security and governance compliance. The role requires deep experience with COBOL, IMS, DB2, CICS, transactional systems, and enterprise mainframe technologies, while leading technical initiatives and collaborating with business and technical stakeholders.

Leads a software development team through the full product lifecycle, including user research, product strategy, roadmap planning, application development, testing, code reviews, documentation, team performance management, budgeting, partnerships, and user support. The role also manages Agile processes, reports metrics, develops funding proposals, and participates in conferences and periodic travel.

Leads a full-stack engineering team developing customer-facing SaaS products across web, mobile, backend, and AI systems. Owns engineering strategy, architecture, reliability, security, privacy, delivery planning, product health, and measurable customer outcomes. Partners with Product, Design, and customer-facing teams to define and ship products, uses production data to guide priorities, and hires, develops, and manages engineering talent.

Design, develop, and maintain RESTful APIs and scalable event-driven cloud solutions using TypeScript and AWS. Build infrastructure as code with AWS CDK, implement secure and highly available architectures, troubleshoot production issues, optimize performance, participate in technical planning and code reviews, document solutions, collaborate with teams and vendors, and mentor engineers on AWS best practices.

Design and build scalable distributed backend systems and core services in Golang. Develop reliable, high-performance systems using PostgreSQL and Redis across microservices, networking layers, and cloud platforms. Prototype and productionize platform capabilities, collaborate on strategic technical initiatives, and influence engineering standards. The role focuses on AI infrastructure, distributed database provisioning, workflow orchestration, internal tooling, and developer experience.

Lead cross-cutting architecture for a globally distributed fraud-detection platform. Own end-to-end system architecture, identify scaling and reliability risks, establish API and service standards, guide foundational initiatives, and drive adoption across eight engineering groups. Mentor Staff engineers, lead design reviews, advise executives on technical strategy and risk, establish AI-assisted engineering practices, and remain hands-on with prototypes, documentation, and production issues.