Top Software Engineer Jobs

Develop and maintain scalable trading applications, optimizing latency and performance for trading operations across financial markets.

Develop and maintain mission-critical software for CNMOC through the full SDLC, including architecture, coding, testing, debugging, deployment, and maintenance. Build data pipelines and integrations, translate customer needs into sprint deliverables, resolve technical challenges, mentor developers, and communicate solutions to technical leadership. The role requires Python, data engineering, databases, AWS, containers, DevSecOps, geospatial platforms, Agile practices, and an active Secret clearance.

Develop, modernize, operate, and maintain mission-critical software services for CNMOC. Responsibilities include full software lifecycle work, architecture, coding, testing, debugging, ETL/ELT pipeline development, translating customer needs into sprint deliverables, mentoring developers, leading demonstrations, and resolving technical challenges. The role requires Python, data engineering, databases, AWS, containers, Agile practices, geospatial integrations, cybersecurity, and active Secret clearance.

Develop, modernize, operate, and maintain mission-critical software for CNMOC. Responsibilities include architecture, coding, testing, debugging, ETL/ELT pipeline development, data integration, cloud and container operations, translating customer needs into user stories, sprint delivery, technical communication, and mentoring developers. The role also supports geospatial systems, databases, DevSecOps practices, Agile ceremonies, and customer issue escalation.

Develop and enhance application features, services, and APIs for a predictive maintenance and CMMS platform. Responsibilities include improving application quality, performance, security, stability, scalability, and reliability; designing server-side logic, APIs, and database schemas; implementing state management; and adopting relevant technologies and development best practices.

Develop, integrate, test, deploy, and maintain scalable end-to-end analytics applications for federal government customers. Collaborate with data scientists and mission analysts to build front-end and back-end tools, operationalize data science, and support analyst workflows. Work with customer architectures, data repositories, big data, machine learning, and application development processes, including requirements analysis, design, implementation, testing, integration, deployment, and maintenance.

Develop and maintain Python and Jupyter Notebook applications supporting data analysis, mission automation, and analyst workflows. Partner with mission analysts to gather requirements, prototype solutions, build APIs and reusable components, automate data processing, and transition successful prototypes into operational capabilities. Evaluate emerging technologies such as Generative AI and RAG, while integrating software with existing mission systems in an agile environment.

Develop and deploy Java-based analytic software for federal mission and target-discovery applications. Collaborate with analysts and stakeholders to translate mission needs into automated workflows, rapidly prototype and evaluate analytics, integrate complementary techniques into cloud environments, and support capabilities through operational deployment and sustainment. Responsibilities include software design, testing, debugging, documentation, code configuration, performance evaluation, and peer reviews.

Develop end-to-end applications supporting federal analyst workflows. Responsibilities include gathering requirements from mission stakeholders, designing user-facing applications, developing RESTful APIs, integrating data repositories and visualizations, and establishing secure CI/CD pipelines in cloud environments. The role collaborates with data scientists and analysts to deliver operational solutions and requires proficiency in multiple programming languages, customer-specific tools, and data platforms.

As a Software Engineer, you will build and manage data platforms, enhance developer experience, and ensure service reliability within a collaborative environment.

Build, test, deploy, and maintain scalable software applications and services. Own complex features independently, contribute to system design, troubleshoot defects, improve reliability and development workflows, and participate throughout the SDLC. Use AI-assisted development tools responsibly, apply secure coding practices, collaborate with cross-functional teams, support testing and automation, participate in code reviews, and mentor junior engineers.

Lead the architecture, design, and hands-on development of a multi-tenant, cloud-native reporting and analytics platform on AWS. Build AI-driven pipelines to migrate legacy business logic and metadata, establish engineering standards, mentor engineers, conduct technical reviews, and ensure scalability, security, tenant isolation, and operational excellence. Collaborate with Product, Data, QA, and Architecture teams while evaluating AI technologies for automation.

Build, test, deploy, and maintain scalable software applications and services. Own complex features independently, contribute to system design, troubleshoot defects and performance issues, and support quality assurance through automated testing. Collaborate with product, design, and engineering teams, use AI-assisted development tools responsibly, improve workflows and observability, participate in code reviews, and mentor junior engineers.

Build, test, deploy, and maintain scalable software applications and services. Independently own complex features, contribute to system design, troubleshoot reliability and performance issues, and support the full software development lifecycle. Collaborate with product managers, designers, and engineers; use AI-assisted development tools; participate in code reviews, testing, automation, and observability improvements; apply secure coding practices; and mentor junior engineers.

Develops and maintains software test programs and tools for aerospace jet-engine testing. Collaborates with customers, manufacturers, and engineering teams on test configurations, installations, and system feasibility. Supports electro-mechanical, controls, data acquisition, and testing systems; evaluates technologies; documents domain knowledge; and manages project resources, schedules, budgets, and installation records. The role is on-site in St. Paul and requires travel of up to 30%.

Lead architecture and build full-stack web applications (Rails, Sinatra/Padrino, Django). Own infrastructure, data modeling, API design, and performance; write robust tests; mentor engineers; integrate AI/ML features; and collaborate with stakeholders to shape product and scale the platform.

Lead design and delivery of full-stack, AI-powered products and platform capabilities. Own technically complex, mission-critical areas end-to-end, partner with product and customer teams, scale data ingestion and APIs, and mentor engineers to raise engineering quality and velocity.

Design, develop, test, deploy, and support cloud-native full-stack applications using Java/Spring Boot, Vue.js, and Python/FastAPI. Build secure, scalable APIs on AWS with Docker, Kubernetes, and IaC. Own features end-to-end, apply AI-assisted SDLC to accelerate delivery, and contribute automation, CI/CD, and engineering best practices.

Design, develop, test, deploy, and support cloud-native full-stack applications using Java/Spring Boot, Vue.js, and Python/FastAPI. Build and operate on AWS with Docker, Kubernetes, and IaC. Create secure, scalable APIs, collaborate with cross-functional teams, and apply AI-assisted SDLC practices to automate development, testing, and documentation while ensuring software quality and maintainability.

Lead and contribute to design, develop, test, and maintain secure, scalable Java-based enterprise applications. Drive architecture reviews, apply AI-assisted engineering practices, automate remediation, mentor teams, and promote reuse and operational stability across the SDLC.

Lead technical design and deliver secure, high-quality iOS and mobile applications using Swift, SwiftUI, and Objective-C. Mentor peers, review code, adopt enterprise AI-assisted development tools, implement native features (Camera, Push, GPS, CoreML), integrate APIs, ensure mobile security, and support SRE practices within Agile/CI-CD workflows.

Lead technical strategy and delivery for mobile app infrastructure, owning shared components (design system, networking, CI/CD, observability, releases, tooling). Collaborate cross-functionally, set code/design standards, ensure operational readiness and on-call processes, mentor engineers, and drive large, business-impacting projects and migrations across the JS↔native boundary.

Design, develop, test, deploy, and maintain enterprise Java and Angular applications supporting mission-critical systems. Build RESTful APIs, service integrations, database solutions, microservices, and containerized applications across cloud and on-premises Kubernetes environments. Participate in architecture and code reviews, troubleshooting, modernization initiatives, automated testing, CI/CD, documentation, and operational database support.

Develop and support secure payment solutions across Ingenico EMV terminals, .NET backend services, Android integrations, processor gateways, tokenization, and mobile wallets. Implement payment workflows, device management, webhooks, settlement, reconciliation, and reporting. Participate in EMV Level 3 certification, regression testing, production troubleshooting, and reliability improvements while collaborating with internal teams and external processors.

Lead full-stack development for employer and employee tax account systems: design reliable backend APIs and data models, build automation and agency-integration pipelines, model jurisdiction-specific compliance rules, mentor engineers, partner with product and operations, and deliver scalable, test-driven solutions that ensure tax accuracy and reliability at scale.