Top Software Engineer Jobs

Rotational technology development program providing hands-on experience across cybersecurity, data analytics, technical product and project management, artificial intelligence, application development, and IT infrastructure. Participants receive structured training, mentorship, and leadership development while contributing to healthcare-focused digital transformation initiatives.

Build and scale backend platforms, orchestration systems, and user-facing capabilities powering Microsoft 365 Copilot. Collaborate with applied scientists and engineers to deliver scalable AI features, define architectures, create implementation plans, ensure robust testing, and improve engineering practices. Work spans enterprise-scale AI infrastructure, multimodal and agentic interactions, model capabilities, and production-ready intelligent systems.

Staff Software Engineer responsible for technical strategy, architecture, complex feature design, implementation, scalability, and greenfield development. The role mentors engineers, leads design and code reviews, drives technical alignment, addresses technical debt, participates in hiring, and remains a hands-on contributor to full-stack enterprise software development using technologies such as PHP, Laravel, Vue.js, and MySQL.

Summer intern supporting DIRECTV’s Customer Operations and Engineering teams in the Product Customer Experience Lab. Responsibilities include implementing software updates and feature enhancements, researching issues from feedback channels, identifying system gaps, and developing solutions. The role requires technical problem-solving, coding across multiple programming languages, presenting ideas, and working onsite three days weekly in El Segundo. Exposure to AI and computer vision technologies is preferred.

Four-month technology-focused capital markets internship. The analyst will partner with Capital Markets groups to identify complex financial-market challenges, analyze requirements, design and code solutions, and deliver end-to-end innovations that improve business-line efficiency. Candidates will apply programming and artificial intelligence knowledge while presenting outcomes to stakeholders and managing multiple priorities in a fast-paced environment.

Lead enterprise automation architecture and delivery across RPA, workflow automation, process mining, intelligent automation, testing, bots, citizen development, and AI orchestration. Establish and operate an Automation Center of Excellence, identify high-value use cases, guide implementation, manage governance and regulatory alignment, support training and adoption, and track financial value. Work hands-on with business stakeholders, technology teams, vendors, and external consultants in a regulated life sciences environment.

Lead software engineering projects and developers building distributed microservices and cloud-based systems for personalized marketing and messaging experiences. Collaborate with product managers, create scalable solutions supporting regulatory needs, mentor engineers, evaluate code, and apply modern technologies including Java, AWS, databases, containers, and AI tools.

Leads software engineering projects and developers building scalable, cloud-based backend and full-stack systems. Designs distributed microservices and omnichannel messaging platforms, collaborates with product managers, supports regulatory requirements, mentors engineers, evaluates code, and applies modern programming languages, databases, container orchestration, cloud services, Agile practices, and interactive AI tools.

Supports Electronic Design Automation for System-on-Chip projects by developing design data management software, enhancing design flows, creating Python or Perl automation scripts, administering DesignSync and ICManage, debugging tools, documenting solutions, and training users.

The Distinguished Engineer will drive innovation in banking technology, lead software engineering projects, mentor teams, and utilize AI and advanced architectures for risk management.

Leads software engineering and development teams, defining architecture standards, overseeing design through deployment, and driving AI/ML, cloud, and digital transformation initiatives. Conducts architecture and code reviews, mentors engineers, supports hiring, develops technology roadmaps, and collaborates with customers and stakeholders to deliver mission-focused software capabilities. Requires extensive software engineering experience, cloud and distributed-systems expertise, Python proficiency, DevSecOps knowledge, and the ability to obtain a Secret clearance.

Lead enterprise payments architecture for card-present solutions, provide technical governance and guidance, integrate AI-enabled capabilities securely, develop and review production code, evaluate emerging technologies, and drive architecture decisions across product families.

Design, develop, test, and maintain secure, high-quality production software. Create architecture and design artifacts, analyze large datasets to improve systems, troubleshoot complex problems, and contribute to engineering communities and inclusive team culture.

Leads Citi’s Customer Management engineering organization across Retail Banking, Wealth Technology, and Mortgage. Responsibilities include managing multiple engineering teams, owning architectural strategy, overseeing 50+ technology investments and critical applications, directing cloud migrations and data conversions, governing delivery and controls, managing disaster recovery, assessing technology risk, and partnering with executives. The role requires enterprise-scale banking systems experience, strong people leadership, and hands-on familiarity with modern architectures and AI-enabled software development.

Design, build, and scale backend systems and microservices for automated chargeback and dispute workflows. Integrate with card networks, banks, and merchants, improve CI/CD, upgrade platform architecture, and own feature delivery and system optimizations.

Lead architecture strategy and roadmaps for cloud-based, AI-enabled payment systems. Advise on technology selection, build reusable secure engineering patterns, develop and review production code, govern APIs and integration patterns, and drive digital transformation for onboarding and self-service experiences.

Provides expert technical support for Zebra Android mobile computing products, debugging AOSP Framework, BSP, Telephony, RIL, and cellular modem issues. Analyzes logs and network traffic, resolves interoperability and performance problems with carriers and chipset vendors, and collaborates with customers and internal teams. Develops AI-driven diagnostic and workflow automation tools, documents solutions, mentors support engineers, and contributes to product improvements.

Leads multiple enterprise application development projects across diverse platforms throughout the systems development lifecycle. Oversees application delivery, production stability, quality, resource allocation, budgets, and stakeholder communications. Partners with business teams to design and implement technology solutions, promotes innovation and change management, and applies modern SDLC, DevOps, data engineering, analytics, AI/ML, and AI-enabled development practices.

Early-career software engineer in CAS’s Technology Talent Acceleration Program. The role includes rotational assignments across software engineering, data engineering, cybersecurity, cloud infrastructure, and enterprise technology. Responsibilities include designing, developing, testing, and supporting technology solutions; learning modern tools and methodologies; improving processes; collaborating with business and technology teams; presenting outcomes; and participating in leadership development. Candidates must have a relevant STEM bachelor’s degree, 24 months or less of professional technology experience, a minimum 3.0 GPA, internship or co-op experience, and strong analytical, communication, collaboration, and leadership skills.

Lead the migration and modernization of web-based solutions into the WANDS cloud environment. Responsibilities include lift-and-shift deployments, multi-regional resiliency, serverless modernization, AI/ML service integration, software development and deployment, team leadership, cross-platform collaboration, requirements refinement, effort estimation, and cost estimation.

Software Engineering Interns support product integration and commercial operations by analyzing workflows, documenting complex processes, and developing scalable software, automation, and AI-enabled solutions. They collaborate with engineering, installation, field service, project management, and product development teams to improve efficiency, data visibility, and customer outcomes. The role is onsite and includes cross-functional communication, process improvement, data analysis, and problem-solving.

Software engineering interns develop automation and software solutions that improve commercial operations, workflow efficiency, data visibility, and customer outcomes. They analyze manual processes, document complex workflows, collaborate with engineering, installation, field service, project management, and product development teams, and present solutions clearly. The role combines software development, systems thinking, process improvement, data analysis, and emerging AI technologies in an onsite medical technology environment.

Lead full-stack engineering teams building ServiceNow’s AI Experience Framework, a Lit-based platform for reusable conversational user interfaces. Own roadmap delivery, architecture, technical direction, staffing, mentoring, production escalations, and cross-team coordination. Guide decisions involving AI integration, performance at scale, server-rendered components, routing, APIs, state management, and multi-team framework adoption.

Designs, builds, and integrates ride-experience platforms and microservices. Develops and improves APIs, performance, monitoring, testing, validation, and documentation. Troubleshoots application and platform issues, contributes to architecture and technology roadmaps, and manages project priorities, deadlines, and deliverables.

Design and build scalable, reliable, observable, and well-tested backend or distributed systems. Use AI-assisted development tools to code, test, document, and design while validating generated outputs. Contribute to architecture and technical direction, apply systems thinking across data models, APIs, and service boundaries, and mentor peers. The role requires collaboration across Product, UX, and Engineering in a hybrid Austin environment.