Top Software Engineer Jobs in St. Louis, MO

Develop and maintain full-stack desktop and web applications using .NET, WPF, Angular, JavaScript, SQL, and REST APIs. Responsibilities include database design and query optimization, bug fixes, enhancements, troubleshooting connectivity issues, Git-based collaboration, CI/CD pipeline maintenance, code reviews, and sprint participation.

Leads the engineering organization responsible for Maritz Rewards, Fulfillment, and Commerce platforms. Defines technology strategy and architecture, guides cloud and commerce technology decisions, promotes responsible AI-assisted development, and mentors managers and architects. Manages executive, client, vendor, security, compliance, budget, and operational relationships while driving scalable, secure solutions across catalog, redemption, order management, payments, and fulfillment integrations.

Develop and release Esri software for GIS, photogrammetry, remote sensing, defense, and intelligence workflows. Build high-performance image processing capabilities, algorithms, APIs, cloud-friendly desktop and enterprise applications, and support multiple imagery modalities and data formats. Collaborate with developers and product engineers to integrate libraries into ArcGIS, solve complex application-design problems, and mentor junior developers.

Develop and operate scalable applications across backend and UI layers using modern software practices, including microservices, serverless computing, CI/CD, and infrastructure as code. Perform testing, deployment, documentation, debugging, performance analysis, issue resolution, and system integration. Contribute to architecture, technology roadmaps, agile planning, code reviews, and sprint deliverables while supporting secure and operationally excellent systems.

Develop enterprise and customer-facing media playback solutions within a collaborative development team. Build web and mobile applications using C#, ASP.NET MVC, AngularJS, .NET, JavaScript, Java, Objective-C, Swift, and Python. Implement advanced video security features including forensic watermarking, DRM, and encryption. Collaborate with team members, document technical specifications, communicate with customers, and support project completion.

Lead architecture and hands-on development of Azure Kubernetes Service capabilities for AI workloads. Design secure, reliable, scalable distributed systems; coordinate engineering teams; define testing and deployment strategies; improve observability and operational readiness; investigate production issues; and mentor engineers while advancing engineering practices.

Develops and maintains Azure-based full-stack software, CI/CD infrastructure, testing frameworks, and reliable skilling platform services. Responsibilities include application and database design, coding, deployment, site reliability, security, automation, AI-assisted Copilot features, LLM-based test failure analysis, and cross-team collaboration. The role requires building scalable cloud and hybrid solutions using microservices, DevOps practices, infrastructure as code, and Azure data services.

Lead performance engineering for massive-scale HPC and AI workloads across InfiniBand-connected GPU clusters. Diagnose communication bottlenecks, analyze fabric behavior, tune RDMA and QoS, develop telemetry tooling, optimize topology-aware communication, benchmark distributed workloads, and collaborate with operations and hardware vendors on next-generation interconnects.

Designs, develops, and supports scalable, highly available software applications across digital channels. Responsibilities include architectural design, coding, code reviews, agile Scrum participation, story creation, technical solution evaluation, production monitoring, and mentoring engineers. The role requires full-stack development using React and Python, cloud and distributed systems experience, CI/CD deployment across OpenShift and GCP, database and API expertise, and strong software quality, security, and performance practices.

Supports the Salesforce team with Financial Services Cloud administration, user support, issue resolution, data mappings, integrations, enhancements, development, testing, defect resolution, and project work. The intern gains exposure to Salesforce functionality, application lifecycle processes, and connections between business applications and data flows while working with team members and a designated coach.

Build and operate large-scale audio data pipelines for AI model training. The role involves discovering data sources, developing reliable data-processing systems, optimizing quality, throughput, and cost, and collaborating with AI scientists. The engineer will own projects from discovery through implementation and ongoing improvement, using strong backend engineering skills in Python, Bash, and Linux environments.

Build and maintain backend services and metadata pipelines supporting data discovery, governance, and AI/ML workflows. Responsibilities include integrating relational databases, developing Java, Node.js, and Python services, optimizing distributed pipelines, implementing Terraform infrastructure, supporting GitLab CI/CD, and writing comprehensive tests. The role also involves troubleshooting scalability and reliability issues, designing asynchronous workflows, and collaborating on modern data lake, search, metadata, and LLM-enabled technologies.