Top Software Engineer Jobs in Baltimore, MD

The Senior OBIEE Architect will design and implement an enterprise-scale Business Intelligence infrastructure, focusing on Oracle OBIEE. Responsibilities include creating system designs, configuring OBIEE across environments, and presenting architectures to stakeholders.

Build and scale backend infrastructure for AI-driven freight finance workflows, including document processing, APIs, data pipelines, audit engines, integrations, observability, and performance monitoring. Collaborate with AI/ML teams to productionize model outputs, integrate freight and financial systems, improve engineering practices, and make frontend updates as needed in a remote-first startup environment.

Develops and maintains data migration and conversion tools, test scripts, and deployment plans. Designs, prototypes, tests, troubleshoots, and integrates customer data migration solutions using software development and SQL expertise. Collaborates with project teams and customers to translate business needs into technical solutions, validate deliverables, support integrations, and communicate findings and strategies.

Build and maintain end-to-end applications using React, Golang, and Node.js. Leverage AI development tools to improve speed and quality, collaborate with product and design, contribute to deployment and DevOps, and own features from concept through release. The role requires proactive problem-solving, rapid learning, scalable system design, and a strong builder’s mindset in a fast-paced energy and logistics technology environment.

Develop and support Salesforce Service Cloud and enterprise integrations using Apex, LWC, Flows, APIs, and platform events. Lead complex technical implementations, testing, deployments, production issue resolution, and SDLC activities in an Agile environment. Collaborate with cross-functional stakeholders, ensure Salesforce best practices and security, mentor junior developers, document standards, and improve operational efficiency through automation and AI-enabled capabilities.

Leads architecture, development, and deployment of scalable cloud-native backend platforms integrating AI, LLMs, agentic workflows, and Salesforce. Designs distributed services, APIs, data migration pipelines, and enterprise integrations while driving observability, resilience, security, and performance. Provides technical leadership, mentors engineers, influences architecture, and collaborates with product, business, and AI/ML teams to deliver highly available enterprise systems.

Leads the design, implementation, integration, and optimization of global enterprise Finance solutions. Responsibilities include ERP solution leadership, Finance process transformation, system integration, data migration, reconciliation, testing, quality governance, deployment readiness, and post-production stabilization. The role also identifies AI automation opportunities and develops governed AI-enabled solutions across ERP, data, API, and workflow platforms while advising Finance, Product, Architecture, and Engineering stakeholders.

Design, develop, deploy, and support enterprise integrations for tolling systems using C#, .NET, Azure, SAP, CRM, IVR, APIs, middleware, and external platforms. Build secure REST APIs, microservices, Azure Functions, and Service Bus solutions; optimize high-volume data flows and IVR experiences; integrate payment, traffic management, and backend systems; document technical solutions, testing, impacts, and standards compliance.

Design, build, operate, and support backend services powering an enterprise AI platform. Responsibilities include developing APIs, gateways, orchestration, tenancy, entitlements, integrations, data access patterns, and platform services. The engineer owns services across architecture, implementation, testing, deployment, monitoring, reliability, and support while addressing distributed-system concerns such as failure handling, consistency, idempotency, retries, and back-pressure.

Designs, builds, deploys, monitors, and supports backend and platform services powering an enterprise AI platform. Responsibilities include developing APIs, orchestration, entitlements, tenancy, data access, integrations, metering, quotas, and reliability patterns. The engineer owns services end to end and applies distributed-systems principles involving failure handling, consistency, idempotency, retries, and back-pressure while collaborating with product teams, customers, and client stakeholders.

Designs, builds, deploys, monitors, and supports backend services powering an enterprise AI platform. Responsibilities include AI gateway and orchestration services, APIs, tenancy and entitlements, integration frameworks, governed data access, reliability, and distributed-systems operations. The role owns services end to end and collaborates with product teams and customers in a consulting environment.

Design, develop, deploy, and operate cloud-scale Azure regional networking infrastructure spanning router hardware, operating systems, optical transceivers, and distributed orchestration systems. Lead architecture and cross-team technical initiatives, write maintainable code, improve reliability, observability, performance, and automation, apply AI-driven engineering practices, and mentor engineers while collaborating with hardware, supply chain, datacenter operations, research, vendors, and senior leaders.

Design, implement, test, and maintain cloud-scale services for security-critical and regulated environments. Build reliable platform components, apply secure-by-design practices, troubleshoot live-site issues, and participate in 24x7 on-call rotations. Collaborate with security, operations, compliance, program management, and engineering teams while developing well-tested code and improving service reliability, monitoring, and operational excellence.

Design, build, test, deploy, and operate cloud-native applications, distributed services, data platforms, APIs, and AI-powered experiences. Develop frontend and backend solutions, data pipelines, analytics frameworks, and intelligent workflows using Azure and modern engineering practices. Own technical designs, modernization, observability, security, compliance, incident response, and operational reliability. Collaborate cross-functionally, mentor engineers, and contribute to architecture, code reviews, automation, and continuous improvement.

Build and maintain a full-stack sewer inspection analysis platform using React, TypeScript, Node.js, PostgreSQL/PostGIS, AWS, computer vision, geospatial analysis, and Temporal.io. Responsibilities include developing interactive dashboards, scalable APIs, video-processing workflows, mapping and risk-assessment tools, microservices, cloud infrastructure, and automated testing and deployment pipelines.

Build and optimize technical infrastructure supporting customer operations, trust and safety, and sales workflows. Develop system integrations, automated workflows, internal support tools, AI-powered customer service solutions, dashboards, and reporting systems. Identify operational bottlenecks, improve processes, and collaborate with product, engineering, operations, customer success, and trust and safety teams to scale efficiently.