Top Software Engineer Jobs in St. Louis, MO

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.

Lead architecture and development for AKS Flex, scaling etcd and Kubernetes control planes for distributed node fleets. Design remote-node provisioning, lifecycle automation, Kubernetes-native APIs, secure bootstrap, upgrades, and reliability systems across Azure, on-premises, edge, and other clouds. Drive performance testing, production operations, open-source collaboration, technical strategy, cross-team alignment, and mentorship while solving distributed-systems, storage, security, and scalability challenges.

Design and optimize networking infrastructure for Azure AI supercomputing clusters. Develop RDMA communication libraries, transport protocols, distributed systems, observability tools, and performance optimizations. Analyze latency, throughput, congestion, scalability, and fault tolerance across large GPU and accelerator environments. Lead technical architecture, write design specifications, resolve complex production networking challenges, and collaborate with hardware, silicon, AI framework, and infrastructure teams.

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.

Develops, customizes, integrates, and maintains COTS applications supporting HR, financial, and customer relationship systems. Responsibilities include SQL reporting, BI and API integration, database and query management, configuration control, data conversion and migration, defect resolution, Tier 3 support, and platform modernization. Coordinates with stakeholders to align technical work with business requirements while supporting national security missions.

Develop and maintain backend services using Java, JavaScript, and Python; support secure DevSecOps practices, containerized applications, AWS deployments, geospatial data processing, testing, documentation, and Agile collaboration under senior developer supervision.