Top Software Engineer Jobs

Leads and grows a platform and infrastructure engineering team, setting technical strategy, driving delivery, and maintaining operational excellence. Responsibilities include hiring, team development, architecture, cloud infrastructure, reliability, incident response, on-call programs, deployment management, and cross-functional leadership. The role guides scalable, resilient foundations supporting product engineering and promotes AI-assisted development practices.

As a Software Engineer at Numeric, you'll develop and scale the financial data platform, focusing on automation, reporting, and transaction monitoring, while contributing to product strategy and user-centric solutions.

Build and maintain full-stack analytics and data visualization products, contributing to architecture, APIs, data pipelines, query optimization, front-end experiences, and AI/ML capabilities. Own initiatives from concept through production, improve reliability and performance, collaborate with product and UX teams, contribute to CI/CD, mentor engineers, and establish technical standards across the organization.

Design, implement, test, deploy, and maintain surveillance and compliance software; work with large and real-time data sets; partner globally with stakeholders; use Java/Python, data platforms and AI-assisted developer tools to accelerate delivery and productionize robust solutions.

Develop and maintain investment technology applications, trading platforms, reporting systems, data integrations, backend services, and responsive interfaces. Responsibilities include scripting, SQL development, API integration, testing, refactoring, source control, CI/CD, Kubernetes deployment, security implementation, production troubleshooting, and collaboration with business and infrastructure teams. The role supports hybrid work from the Chicago Riverpoint office and home.

Leads technical production support and transformation programs for GK POS and retail/QSR environments. Responsibilities include incident and problem management, root cause analysis, defect triage, production troubleshooting, release support, team leadership, SLA improvement, stakeholder coordination, and executive communication. The role requires hands-on Java development, POS architecture and integration expertise, and experience with payments, ERP, OMS, eCommerce, cloud, observability, and containerized application environments.

Build and update React and TypeScript user interfaces for a 401(k) platform, write unit tests, collaborate with Product, Design, and Engineering, work from Jira tickets, submit pull requests, respond to code reviews, and learn production software development through mentorship. The role involves incrementally taking on independent work while following established coding standards, component libraries, design systems, and Git workflows.

Participate in a 10–12 week paid digital technology internship working on substantive projects across areas like cloud, cybersecurity, data & analytics, AI, and product/program management. Interns get hands-on technical experience, exposure to IT leaders, career development, and potential pathways to full-time roles or leadership programs. U.S. candidates must be authorized to work and may require a drug screen.

Designs and develops enterprise microservices using Java and Spring Boot. Provides technical leadership through architecture, code reviews, mentoring, proof-of-concept development, and technical guidance. Supports cloud migrations, performance optimization, automation, container orchestration, CI/CD, monitoring, and application stability using Docker, OpenShift, Kubernetes, MongoDB, and related tools.

Build, test, deploy, and operate customer-facing subscription experiences across the full stack. Develop React and JavaScript/TypeScript frontends, Java backend services, and Node.js tooling. Contribute to AWS infrastructure, CI/CD, Infrastructure as Code, monorepo tooling, observability, and production support. Own features through deployment and improvement, participate in on-call rotation, collaborate with product and engineering partners, and use AI-assisted tools for coding, testing, debugging, documentation, and automation.