Top Software Engineer Jobs

Develop, test, deploy, and support software solutions and prototypes for Mastercard Foundry’s research and development initiatives. Collaborate with engineers, data scientists, designers, researchers, and product teams on emerging technologies including AI, cloud computing, and data platforms. Participate in the full software development lifecycle, apply testing and CI/CD practices, evaluate new technologies, and present technical findings. This co-op runs January through May 2027, requires 40 hours weekly, and involves working onsite at least three days per week.

Develop and maintain scalable backend applications and services using Java, J2EE, Spring Boot, APIs, microservices, and distributed systems. Integrate AI, machine learning, generative AI, AI agents, and MCP capabilities into enterprise applications. Design software architectures, implement testing and CI/CD, optimize performance, support cloud-native deployments, and ensure security, reliability, observability, and operational readiness.

Own the distributed serving and data infrastructure powering globally served pages and governed multi-agent build loops. Design caching, indexing, rebuild, reliability, observability, performance, and invariant-based enforcement systems. Take end-to-end responsibility for correctness, uptime, failure handling, latency budgets, and production incidents without a dedicated operations team. The role requires independently modeling complex systems, proving correctness under load, and evolving infrastructure as AI capabilities change.

Architect and develop scalable full-stack benefits platforms, including customer-facing web applications, shared services, benefits workflows, and AI-driven interfaces. The role involves frontend and backend development, system scalability, observability, CI/CD, personalization, and recommendation capabilities. The engineer will mentor colleagues, establish AI-native development practices, influence technical roadmaps, and partner with Marketing, Sales, Operations, and leadership to deliver reliable benefits shopping experiences.

Leads architecture and engineering for consolidating global wide area networks into a unified platform. Defines carrier-scale routing, traffic engineering, resiliency, automation, telemetry, validation, and AI-assisted operational strategies. Oversees transformation plans, migrations, production rollouts, technical standards, risk controls, and reliability improvements while partnering across engineering, infrastructure, cloud, security, operations, and architecture teams.

Leads the architecture and delivery of Salesforce Marketing Cloud and Data Cloud initiatives for B2B partner marketing. Designs data models, knowledge graphs, identity resolution, ETL/ELT pipelines, APIs, batch and streaming systems, and Zero Copy integrations. Establishes orchestration, monitoring, CI/CD, reliability, and governance practices while integrating AI and LLM capabilities into marketing workflows. Serves as a senior technical resource, reviews designs, partners with stakeholders and vendors, and mentors engineers.

Senior Full Stack Engineer responsible for architecting and delivering AI-driven backend and frontend systems. The role leads complex technical initiatives, defines roadmaps, designs scalable APIs and data models, and champions JavaScript, Node.js, testing, observability, and Spec-Driven Development. It requires building and scaling distributed, event-driven microservices; working with financial infrastructure; mentoring engineers; and translating ambiguous business objectives into reliable technical solutions.

Leads software engineering for a large-scale Apache Cassandra platform. Designs and delivers automation, self-service tooling, infrastructure frameworks, and cloud capabilities across private and public environments. Partners with engineering teams to improve developer velocity, code quality, resiliency, security, and customer experience. Applies AI-assisted infrastructure practices with validation, auditability, and data-sensitivity controls. Requires expertise in software development, databases, Linux, distributed systems, configuration management, and Database Reliability Engineering.

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.

Leads development of secure, scalable, cloud-native software platforms and distributed services. Designs systems, writes and reviews production code, supports cloud migrations, and improves reliability through testing, operations, observability, and infrastructure as code. Drives adoption and governance of AI-assisted engineering practices, validates AI outputs for security and correctness, mentors engineers, and influences architecture and delivery practices across teams.

Entry-level technology program participants complete a six-month training and development experience before joining an engineering team. They build, test, and debug software, contribute to agile projects, practice code quality and security, learn modern architecture, and use AI-assisted development tools. The program emphasizes mentorship, collaboration, continuous learning, systems thinking, and delivering customer-focused software solutions.

Exploratory Software Engineering Interns prototype experimental software, test modern frameworks, and investigate AI/ML, computer vision, augmented reality, and IoT applications. They collaborate with engineers, designers, and product managers during innovation sprints, apply rapid prototyping and design thinking, present prototypes to stakeholders, and gain experience contributing to enterprise-scale technology innovation.

Develop and maintain Java microservices and APIs for Caterpillar’s MineStar ecosystem. Lead AI-assisted software delivery using agentic workflows for planning, implementation, testing, documentation, reviews, and production support. Ensure secure, reliable, maintainable engineering outcomes through quality gates, architecture decisions, validation, and governance. Provide technical leadership, mentor engineers, troubleshoot incidents, perform root-cause analysis, and create reusable AI delivery patterns, prompts, and playbooks.

Develop, test, deploy, and operate secure, scalable software services supporting Microsoft’s business operations, commerce, billing, usage measurement, and customer adoption. Responsibilities include architecture, coding, code reviews, test automation, AI-assisted development, deployment automation, observability, on-call support, security, privacy, compliance, and cross-team collaboration.

Leads development of full-stack, cloud-native software using Java, Python, AWS, microservices, APIs, and PostgreSQL. Designs scalable and secure systems, builds LLM and generative AI capabilities, and integrates AI agents into engineering workflows. Improves operational stability through automation and observability while contributing to Agile delivery, system architecture, and technical standards. Collaborates across initiatives and promotes responsible, secure validation of AI-assisted development outputs.

Develops secure, scalable software solutions for JPMorganChase’s CX Loyalty Travel team. Responsibilities include application design, coding, testing, troubleshooting, architecture documentation, data analysis, system stability, and participation in agile engineering practices. The role uses .NET, C#, RESTful APIs, SQL, React or Angular, cloud technologies, and enterprise-authorized AI coding tools to deliver high-quality production systems.

Build and ship member-facing web features using React, Next.js, and Tailwind CSS. Implement responsive, accessible interfaces, test user journeys, participate in code reviews, collaborate with product, design, and backend teams, and contribute to performance and maintainability. The role includes AI-assisted prototyping, frontend API integration, learning team systems, and participating in on-call rotations under senior guidance.

Leads full-stack software engineering teams, technology portfolios, and large-scale cloud-native initiatives. Responsibilities include setting technical strategy, managing engineering talent, driving architectural and roadmap decisions, delivering distributed microservices and full-stack systems, and aligning engineering execution with enterprise goals. The role involves AWS and other cloud technologies, modern programming languages, databases, containers, Agile delivery, AI-enabled development, and regulatory technology solutions.

Leads development of a next-generation equipment and asset finance platform. Designs, builds, tests, secures, and troubleshoots scalable Java and Spring Boot applications using microservices, REST, Kafka, React, and relational databases. Provides technical direction to a global feature team, mentors engineers, reviews code, drives AI-assisted engineering practices, and contributes to architecture. Improves application stability, observability, code quality, deployment reliability, and operational support across development, staging, and production environments.

Leads multiple engineering teams building internal platforms, web applications, AI-powered workflows, integrations, data pipelines, and automation. Sets technical direction, oversees architecture and delivery, partners with product and business stakeholders, and develops engineering talent. The role emphasizes front-end development with TypeScript and React, CMS integrations, internationalization and localization, scalable SaaS systems, AI-enabled marketing workflows, and operational productivity improvements.

Lead architecture, technical design, and hands-on software development across macOS, Windows, web, and server platforms. Build and scale complex systems, rapidly deliver user value, maintain engineering quality through testing and continuous integration, and collaborate with product, design, leadership, users, and partners. The role requires technical leadership in a fast-changing startup environment, with potential work spanning local LLMs, infrastructure autoscaling, collaboration features, and secure key distribution.

Leads the design and development of scalable, cloud-native, AI-powered software systems. Drives architecture, DevOps, CI/CD, observability, performance optimization, automation, incident analysis, and continuous improvement. Provides technical guidance through code reviews and architectural decisions, mentors engineers, and collaborates with cross-functional teams to align technical solutions with business objectives.

Develops, tests, deploys, and operates Azure Data product features in highly secured, air-gapped environments. Responsibilities include coding, architecture collaboration, automated testing, incident response, deployment automation, security hardening, telemetry, reliability improvements, and on-call support. The engineer works with partner teams to meet performance, scalability, privacy, compliance, and government customer requirements while using AI tools throughout the software development lifecycle.

Designs and develops scalable data pipelines, backend services, ETL/ELT workflows, APIs, microservices, and cloud-native applications using C#/.NET, SQL, Azure, and AWS. Responsibilities include database optimization, CI/CD, automated testing, DevOps, data governance, security compliance, and translating advanced technologies into production-ready healthcare solutions. Collaborates with research, engineering, and product teams while supporting ethical, performant, and reusable enterprise capabilities.

Supports economists and research associates with computational research tools, workflows, and software. Responsibilities include optimizing and parallelizing code, enabling on-premises and cloud HPC usage, supporting AI and large language model adoption, developing training curricula, providing consultations, and documenting technical resources. The role also collaborates on research papers and delivers guidance on programming, Linux, version control, job scheduling, cloud computing, and research computing best practices.