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.

Build and maintain scalable Python backend systems and PySpark data pipelines for enterprise financial reporting and analytics. Develop and deploy Databricks modules, create architecture artifacts, troubleshoot production systems, analyze financial data, and apply secure AI-assisted development practices. Collaborate with product managers, architects, and engineering teams while participating in code reviews and improving software quality, reliability, and architecture.

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.

Leads full-stack software engineering for JPMorganChase’s Wholesale Credit Risk technology team. Designs, develops, tests, troubleshoots, and reviews secure production code; improves application resilience and operational stability; promotes responsible AI-assisted engineering practices; automates recurring remediation; and evaluates architectures and technologies with vendors and internal teams. The role requires cloud-native development, agile SDLC expertise, financial services knowledge, data architecture, modern front-end technologies, GraphQL, and API development.

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.

An 11-week in-person technology internship offering placements in software engineering, cloud and DevOps, data engineering, AI and machine learning, enterprise applications, platform engineering, or automation. Interns will contribute to real-world projects such as application development, data pipelines, process automation, cloud infrastructure, and AI solutions while participating in professional development and leadership sessions.

Develops GUIs, dashboards, AWS applications and infrastructure, automated workflows, and AI/ML integrations. Responsibilities include integrating new features into existing tools, collaborating across the software development lifecycle, writing tested code, and monitoring workflow and model performance. Requires software development fundamentals, Python, JavaScript, HTML, CSS, AWS, Git, UI frameworks, automation, and AI/ML awareness, along with an active Top Secret/SCI clearance and NSA Full Scope Polygraph.

Leads the design and delivery of scalable cloud-native platform capabilities for Walmart Marketplace. Responsibilities include software development lifecycle ownership, coding, testing, deployment, monitoring, system design reviews, AI/ML application development, automation, technical mentoring, stakeholder collaboration, and continuous improvement of engineering processes and products.

Define architectural direction for Azure Specialized platform services and lead the design of highly available distributed cloud systems. Drive reliability, scalability, observability, security, diagnostics, and operational improvements across engineering organizations. Establish service health frameworks, SLOs, metrics, and governance for mission-critical services. Mentor engineers, influence technical strategy, resolve complex cross-system challenges, and advance AI-assisted troubleshooting and platform modernization.

Summer 2027 internship opportunities for software and computer engineers, programmers, business operations specialists, and data scientists. Interns will support remote sensing, missile defense, intelligence, surveillance, reconnaissance, space domain awareness, and aircraft survivability projects. Candidates must be U.S. citizens, enrolled full-time as rising juniors, seniors, or graduate students, and pursuing Computer Science, Engineering, or related STEM degrees. Strong attention to detail and communication skills are required.

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.