Top Software Engineer Jobs

Leads full-stack software engineering teams and a portfolio of technology projects focused on developer experience, distributed systems, microservices, and cloud-native platforms. Sets technical strategy, oversees large-scale system design and delivery, manages engineering leaders, develops talent and succession plans, and aligns roadmaps with enterprise goals. The role involves Java, Python, cloud platforms, databases, containers, APIs, Agile delivery, and emerging AI technologies.

Leads engineering projects and developers building cloud-based, AI-powered risk management solutions. Designs distributed microservices and full-stack systems, establishes technical standards, partners with architects and product managers, improves system performance, reduces technical debt, and mentors engineers. The role uses AWS technologies, modern programming languages, databases, APIs, CI/CD, infrastructure as code, automated testing, and observability within Agile teams.

Leads technology projects and developers building cloud-based, full-stack risk management solutions. Designs distributed microservices, APIs, and reusable frameworks; establishes engineering standards; partners with product managers and architects; mentors engineers; evaluates emerging technologies and AI tools; and improves system performance, observability, and technical debt across Agile teams.

Lead design and deliver AI-native, cloud-native software components; develop secure high-quality production code; drive adoption of AI-assisted engineering practices, CI/CD automation, SDKs and reusable frameworks; mentor engineers and lead cross-team communities of practice.

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.

Architect and guide development of GM’s cloud-native virtual development platform for distributed simulation, vECUs, FMUs, SIL/MIL workloads, and AI-enabled workflows. Responsibilities include designing orchestration, APIs, data pipelines, scalable compute, CI/CD integration, security, observability, and reliability, while mentoring developers and influencing technical direction. The role requires expertise in backend and distributed systems, virtualization, cloud architecture, Kubernetes, AI/ML integration, data engineering, and ontology-based system design.

Build, deploy, and operate production voice AI agents integrated with telephony, CTI, and contact-center platforms. Design autonomous call workflows, author and version prompts and guardrails, manage conversational context and interruptions, and create automated evaluation systems for probabilistic voice behavior. Work directly with customers in forward-deployed environments, monitor live-call quality and safety, and collaborate across product, design, and engineering to deliver reliable AI-native voice experiences.

Design and build foundational web services, service mesh infrastructure, developer tooling, CI/CD automation, and highly reliable distributed systems. Architect scalable APIs and data consistency patterns, optimize high-throughput systems, establish observability and reliability practices, and mentor engineers. The role supports millions of transactions across mobility products and requires collaboration across application, infrastructure, and advanced technology teams.

Develops secure, scalable software for JPMorganChase’s Payments Team. Responsibilities include designing, coding, testing, troubleshooting, and maintaining Java and React applications; analyzing data; applying SDLC, agile, CI/CD, resiliency, and security practices; and using AI-assisted development tools responsibly. Collaborates within an agile team to deliver stable software solutions and resolve technical issues.

Develop and support scalable full-stack applications and services using Java, Spring Boot, frontend frameworks, Python, cloud technologies, and AI capabilities. Responsibilities include building APIs and microservices, testing, secure coding, code reviews, troubleshooting, performance optimization, CI/CD, observability, production support, and collaboration with product and engineering teams. The role contributes to AI-enabled product enhancements and independently delivers software features from design through deployment.

Develop and support complex full-stack software solutions using Java, Spring Boot, React or Angular, and Python. Design scalable APIs, microservices, distributed systems, and cloud-based architectures while integrating AI and machine learning capabilities. Lead technical implementations, testing, troubleshooting, performance improvements, and operational readiness. Mentor engineers, conduct code reviews, influence architecture and engineering standards, and independently deliver complex features with minimal oversight.

Develop and support scalable full-stack software using Java, Spring Boot, React or Angular, Python, APIs, microservices, and cloud technologies. Lead architecture, AI-enabled capabilities, testing, troubleshooting, observability, automation, and performance improvements. Mentor engineers, conduct code reviews, influence technical direction, and independently deliver complex solutions across the software lifecycle.

Lead an agile team to design, develop, and operate low-latency, high-throughput distributed backend services and APIs using Java, Spring Boot, AWS and Kafka. Drive secure, scalable production code, adopt enterprise AI-assisted engineering practices, improve operational stability through automation, and evaluate vendor and architectural solutions.

Build and maintain Layla’s cross-platform Flutter mobile applications for iOS and Android. Own features end to end, including design, API integration, data modeling, testing, release, and support. Collaborate with product, design, and backend teams to create accessible, performant travel-planning and booking experiences. Integrate AI-driven capabilities responsibly, improve mobile architecture and reliability, contribute to native interoperability, and mentor engineers.

Build and maintain Layla’s cross-platform Flutter mobile applications for iOS and Android. Own end-to-end feature delivery, including architecture, API integration, data modeling, testing, performance, reliability, and release support. Collaborate with product, design, and backend teams to create accessible conversational travel-planning and booking experiences. Integrate AI/ML capabilities responsibly, contribute to native platform interoperability, improve engineering architecture and standards, and mentor other engineers.

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.

Designs, develops, debugs, and maintains complex software for semiconductor equipment components and devices. Creates documentation, test procedures, specifications, and test plans for simulators, test benches, and laboratory environments. Troubleshoots difficult software issues, implements fixes, and communicates with internal and external customers regarding requirements, schedules, and technical problems. The role applies software engineering, machine learning, and AI concepts to deliver reliable solutions.

Teaches undergraduate and graduate information systems courses in a blended onsite and online format. Responsibilities include developing syllabi and lesson plans, preparing and updating course materials, using educational technology, communicating course expectations, designing and grading assessments, providing timely feedback, and integrating responsible AI use into instruction. The role also requires faculty training, ongoing professional development, and subject matter expertise in information systems and full-stack development.

Own end-to-end product development as an early engineer, working across frontend, backend, and cloud infrastructure. Build AI-driven services across voice, text, and email; develop machine learning models; integrate legacy third-party systems; and incorporate customer feedback into product priorities. Lead projects from design through deployment while shaping the platform’s technical foundations and user experience.

Leads enterprise technology development across ServiceNow, Salesforce, AI platforms, and integrated applications. Responsibilities include developing applications, implementing AI and automation, managing cross-platform projects, creating technology roadmaps, coordinating resources, supporting migrations, strengthening security and compliance, mentoring teams, and managing stakeholders. The role requires federal IT governance experience, enterprise-scale implementations, and the ability to obtain a Public Trust.