Top Software Engineer Jobs

Design, code, test, and maintain applications using Kotlin, Rust, and SwiftUI. Implement ATDD and CI/CD, build API integrations and microservices, manage application lifecycle and project planning, conduct code reviews and debugging, collaborate with clients, and apply analytical thinking for business process improvements.

Summer IT internship providing hands-on assignments across application/automation development, AI, cloud, data & analytics, security, networking and telecommunications. Interns receive mentorship, networking opportunities, and deliver a capstone presentation. Typical internships last 10–12 weeks in Bartlesville, OK or Houston, TX.

Lead enterprise deployment, governance, and operations for Microsoft Copilot and Power Platform across M365. Manage tenant controls, licensing/credit governance, AI risk/compliance, Microsoft vendor relationships, SharePoint/OneDrive content readiness, and analytics/reporting. Partner with architects, Security, Legal, Procurement, and business stakeholders to ensure secure, compliant, and adopted AI platform operations.

Lead a team building cloud-native, full-stack microservices and AI-enhanced risk management solutions. Design, deliver, and mentor on scalable AWS-based systems using modern web stacks and generative AI tooling to meet regulatory and business needs.

Lead full-stack web development on GCP to build AI-powered search and discovery experiences. Design and implement web apps, services, and indexing pipelines, optimize performance, automate CI/CD and testing, mentor engineers, collaborate with product and ML partners, and productionize search/recommendation capabilities.

As a Software Engineer Lead, you will design and develop AI solutions, lead tech teams, and ensure high-quality NLP capabilities. You'll integrate AI services into enterprise platforms and guide best coding practices.

Design and develop backend services and APIs, implement microservices, manage databases, and integrate AI/ML features, ensuring production readiness and engineering best practices.

Tenure-track Assistant Professor to teach and advise undergraduate and graduate courses across computer information science, data science, and AI fields; engage in research, curriculum design, student mentorship, committee service, and pursue funding. Expected to deliver face-to-face, hybrid, and online instruction, support student recruitment and retention, and use active, project-based pedagogies.

The Engineering Program Manager coordinates multiple projects in HPC/AI, develops support requirements, leads project teams, and manages communications and stakeholder updates.

The Head of Application Development leads software engineering and application development across all business areas. Responsibilities include strategic planning, team development, performance management, ensuring delivery of quality software, and managing relationships with stakeholders and vendors.

As Director of Software Engineering, you will lead AI-first platform development, manage engineering teams, define architecture, and ensure quality delivery across projects.

The Principal Software Engineer will lead architecture and design of AI applications, ensuring scalable systems while mentoring teams and driving best practices in full stack development.

The Senior/Staff Backend Engineer will build AI-driven products, optimize performance, collaborate with teams, and establish best practices for Applied AI at Fora.

The Senior/Staff Full Stack Engineer will develop AI-driven products, enhance the advisor portal's functionality, and ensure system reliability using best practices in software and AI development.

As a Python Engineer, you will develop AI agents, ensuring clean code, testing, and effective collaboration in an Agile environment.

Lead design and delivery of a web channel framework using React/TypeScript. Drive engineering standards, testing (unit to end-to-end), CI/CD, performance optimization, RESTful services, and cross-functional agile collaboration to build a scalable SPA platform.

The Senior Innovation Engineer develops and implements Pega intelligent automation solutions, collaborating with architects and teams to enhance digital transformation projects.

Senior Java full-stack engineer responsible for designing, building, and maintaining scalable microservices and APIs using modern Java and cloud-native technologies. Provide technical leadership, mentor engineers, perform code reviews, support production incidents, create architecture and API artifacts, and leverage AI-assisted development tools while ensuring governance, security, and best practices.

Design and build maintainable, scalable, observable, and well-tested backend and distributed systems. Work in an AI-augmented development workflow, validate AI-generated outputs, contribute to architecture and system evolution, document designs and prompts, and mentor peers while collaborating with Product and UX.

As a Senior AI Enablement Engineer, you'll design AI infrastructure, build scalable systems, ensure compliance, and promote AI adoption across teams.

Lead the technical direction of AI initiatives by building scalable backend systems, mentoring junior engineers, and ensuring operational excellence.

The Staff Applied AI Engineer will architect multi-agent LLM systems, drive performance optimization, mentor teams, and ensure system reliability while fostering continuous improvement.

Lead Software Engineer designs, develops, and delivers secure, scalable cloud-native applications (Python/Java/React/AWS). Leads architecture reviews, promotes AI-assisted engineering practices, drives CI/CD and automation, mentors teams, evaluates vendors, and improves operational stability and resiliency.

Lead design, develop, and deliver secure, scalable production software. Drive architecture evaluations, improve operational stability via automation, and champion AI-assisted engineering practices. Mentor teams, enforce secure SDLC/CI/CD standards, and integrate cloud-native solutions using Python, Java, React, and AWS.

Lead design, development, deployment, and support of secure, scalable cloud-native Java/Spring Boot microservices on AWS. Build REST APIs, event-driven integrations with Kafka, promote CI/CD, observability, secure coding, and enterprise AI-assisted engineering practices; troubleshoot and mentor engineers.