Software Engineer Jobs in St. Louis, MO

Paid, full-time software engineering internship supporting Microsoft 365 collaboration tools. The intern will help administer and troubleshoot SharePoint Online, OneDrive, Power Apps, and Power Automate; respond to user support tickets; gather business requirements; develop applications and workflows; research platform features; and document solutions. The role includes mentorship, professional development, networking, and cross-functional internship activities.

Design, develop, optimize and maintain ERP financial applications using Oracle and PL/SQL. Integrate systems, ensure security/compliance, resolve defects, lead code reviews, mentor junior developers, participate in Agile/Scrum, and estimate and deliver ERP features.

Designs, builds, and maintains secure data pipelines, ETL processes, data warehouses, and quality controls. Collects, validates, cleanses, and analyzes data; develops SQL queries, Tableau dashboards, and AWS-based solutions; investigates data integrity issues; documents standards; and partners with stakeholders to deliver technical solutions using Agile and DevOps practices.

Paid, full-time software engineering internship supporting customer-context data patterns, decision-engineering tools, requirements analysis, and data-platform product development. Interns spend approximately 80% of their time on department projects and 20% on professional development, networking, mentorship, community service, and presentations. The role runs for 11 weeks during summer 2027.

Paid, full-time software engineering internship supporting customer-context data patterns, decision-engineering tools, requirements analysis, and data-platform products. Interns collaborate with department teams, participate in professional development, networking, mentorship, and cross-functional activities. Candidates must be rising seniors pursuing a bachelor’s degree, maintain at least a 3.0 GPA, and be authorized to work in the U.S. without current or future employment-based sponsorship.

Build and integrate secure AI assistants and chatbots into geospatial intelligence and mission-support applications. Develop LLM workflows using RAG, prompt orchestration, tool calling, and conversational context; connect AI services to enterprise data sources and APIs; and enforce access controls, provenance, auditing, and safety measures. Deploy and operate services in Kubernetes and OpenShift, including classified or disconnected environments, while evaluating AI quality, security, latency, and usability.

Lead architectural modernization of enterprise .NET applications into cloud-native microservices. Define technical strategy, cloud architecture (AWS/GCP), DevSecOps/CI-CD, mentor engineers, drive API-first and front-end modernization, and align technology with business goals.

Paid, full-time software engineering internship supporting workforce management, technician scheduling, and dispatch tools. Interns will build features across web applications, APIs, databases, and cloud services; use AI-assisted development and pattern analysis; and participate in the full software development lifecycle. The program also includes mentorship, professional development, networking, community service, and final presentations.

Paid, full-time software engineering internship supporting the SOC Operational Intelligence team. Responsibilities include developing Python data pipelines and packages, contributing to internal web applications, supporting AI agents and bots, writing automated tests, and improving developer tooling. The intern will work on production software, ETL pipelines, operational automation, and integrations with systems such as Jira, Ivanti, and Datadog while participating in mentorship, networking, professional development, and team projects.

Paid, full-time software engineering internship supporting Netcracker CPQ configuration and development. Responsibilities include analyzing Salesforce and downstream integrations, testing and troubleshooting changes, documenting product configurations and workflows, and assisting with sprint deliverables under supervision. The intern will gain experience with CPQ engineering, pricing logic, order management, and telecommunications systems while participating in mentorship, professional development, and networking activities.

Paid, full-time software engineering internship supporting Salesforce and CSML development, system integrations, testing, troubleshooting, automation, configuration, technical documentation, and product workflow changes. The intern will contribute to backlog refinement and sprint deliverables under supervision while participating in professional development, mentorship, networking, and cohort activities.

Paid, full-time software engineering internship supporting a payments engineering team. The intern will learn payment processing, participate in the software development lifecycle, practice AI-assisted development, explore monitoring tools, shadow production operations, and join stand-ups and code reviews. The program also includes mentorship, networking, professional development, and cross-functional activities.

Designs, builds, and maintains scalable data pipelines and warehouse solutions. Responsibilities include data collection, cleansing, validation, quality assurance, ETL, integrity audits, documentation, anomaly resolution, and technical requirements analysis. The engineer develops SQL-based solutions, Tableau reporting, AWS cloud data infrastructure, and automated testing processes while collaborating with customers and Agile/Scaled Agile teams. The role supports data-intensive research, supervision, regulation, payments, and economic analysis across the Federal Reserve System.

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 and deploys enterprise AI applications and intelligent workflows using C#, .NET, Azure, Azure OpenAI, RAG, AI agents, and Copilot Studio. Designs secure APIs, cloud-native services, event-driven architectures, and containerized workloads. Responsibilities include requirements gathering, architecture, development, CI/CD, observability, governance, production support, troubleshooting, documentation, and knowledge transfer. The role collaborates with technical and business stakeholders to deliver scalable AI-enabled solutions.

Develop and maintain Java and Spring-based applications, Angular front ends, REST services, microservices, SQL integrations, and loyalty platform components. Participate in Agile planning, design, coding, documentation, testing, estimation, mentoring, and process improvement. Work with cloud platforms, message queues, Docker, Kubernetes, and build management tools while collaborating with product teams and third parties.

Develops, documents, tests, debugs, and maintains software supporting government mission applications. Plans and coordinates software development activities, designs multi-tiered and microservice applications, applies software development lifecycle standards, resolves programming and system issues, and prepares technical documentation. The role requires cloud platform experience, containerization, CI/CD, scripting, Linux, U.S. citizenship, and an active Top Secret/SCI clearance.

Develop, maintain, and improve enterprise software and databases for a geospatial-intelligence modernization initiative. The role involves full-stack development, microservices, APIs, containerization, test-driven development, CI/CD, and cloud-native development in secure cloud environments. This is an on-site position supporting a federal government customer in St. Louis, Missouri, and requires Top Secret/SCI clearance and U.S. citizenship.

Build and maintain metadata capture, transformation, and delivery pipelines for a data management platform. Develop backend services with Python, Java, and Node.js; integrate relational databases and REST APIs; implement Terraform infrastructure; and support GitLab CI/CD. Optimize distributed systems for performance, reliability, scalability, and secure asynchronous processing. Write automated tests, troubleshoot services using operational metrics, and contribute to AI/ML metadata pipelines, search, data lake, and LLM-powered initiatives.

Designs and delivers software automating AKS cluster provisioning, upgrades, and management on Azure Local. Owns features through production, makes architectural decisions, mentors engineers, and improves reliability, security, observability, performance, and operational consistency. The role involves distributed systems, networking, virtualization, Kubernetes lifecycle management, on-call support, and collaboration across Azure teams and stakeholders.

Develops and maintains virtualized mission applications for VDI and thick-client environments using Citrix, VMware, and Microsoft technologies. Responsibilities include application sequencing, testing, user-settings persistence, automation, infrastructure configuration, disaster recovery, patching, troubleshooting, performance tuning, incident resolution, and technical documentation. The engineer works onsite with intelligence customers, operates independently, supports application delivery, and provides training and design materials.

Participate in the full software development lifecycle for high-performance, low-latency financial data processing applications. Responsibilities include software design, development, testing, secure coding, version control, adopting new technologies, and completing projects collaboratively. The intern will work with Python, C, C++, Linux, GitLab, Jenkins, Artifactory, Jira, Agile, and CI/CD practices in a hybrid St. Louis environment.

Build and evolve low-latency, high-throughput news delivery services using Java and Python. Own architecture, feature delivery, performance, observability, production support, and technical direction. Collaborate within a scrum team, automate deployment and maintenance using DevOps practices, and participate in a sustainable on-call rotation. Apply real-time systems, cloud infrastructure, container orchestration, search technology, testing, and news data standards to deliver reliable services globally.

As a Mission Software Engineer, you'll develop solutions for government customers by integrating software into existing workflows, requiring significant travel, collaboration, and technical expertise.

Lead software engineering teams through Agile development, including architecture, design, coding, testing, DevOps, delivery, and mentoring. Build scalable Java applications and services using SOA, APIs, microservices, containerized deployments, enterprise messaging, relational databases, and modern Spring frameworks. Establish engineering standards for security, automation, testing, and maintainable code while partnering with product owners to deliver customer-focused solutions.