Top Software Engineer Jobs

Leads application development and systems analysis for financial services technology. Partners with management and technology teams to design enhancements, resolve complex issues, establish coding and testing standards, and ensure architectural alignment. Develops full-stack Java and Oracle solutions, improves system performance, integrates clearing and books-and-records platforms, and supports cloud-native services. Advises developers, manages stakeholders and risk, and applies expertise in exchange-traded derivatives clearing and post-trade processing.

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.

Owns user-facing product features from discovery and prototyping through production release. Builds across the full stack, designs architecture and interfaces, collaborates with leadership and users to prioritize the roadmap, and applies AI-enabled approaches where appropriate. The role also involves writing product requirements, validating technical feasibility, managing rollouts, fixing bugs, and improving usability and performance. Requires strong product judgment, design sensibility, JavaScript and TypeScript expertise, and on-site availability in New York City.

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.

Teaches undergraduate and graduate Information Systems and Software Development courses in hybrid formats. Develops syllabi, lesson plans, course materials, assessments, and grading practices aligned with learning objectives. Uses online technologies and course software, provides timely student feedback, and supports student learning through clear communication. Integrates responsible AI practices into instruction and evaluates student use of AI tools. Participates in faculty training and ongoing professional development.

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.

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.

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.

Technology interns participate in a 12-week, in-person program in Louisville, supporting projects across software and cloud engineering, data analytics, AI, cybersecurity, UX, agile development, and project management. Interns collaborate with experienced technologists, contribute to business and healthcare technology initiatives, attend professional development activities, and gain exposure to executive presentations and technical teams.

Provides professional support for risk technology and AI projects, completing deliverables, collaborating with stakeholders, following quality standards, and adapting to changing business needs. The role requires a related bachelor’s degree or equivalent, 5–8 years of relevant experience, and supervisory experience. Travel to client or organizational locations may be required, with potential increased hours during peak business cycles.

Design, build, deploy, and improve secure, resilient cloud-native applications using .NET, React, Java, Kubernetes, Azure, and DevSecOps practices. Translate requirements into technical solutions, validate architecture, implement quality and security controls, and use AI-assisted engineering tools responsibly. Mentor engineers through pairing, code reviews, and technical guidance while collaborating with product, design, and agile stakeholders. Prototype new functionality, maintain observability and reliability, and support continuous learning and improvement.

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.

Develop, integrate, test, and maintain software for automated space payloads, facilities, and mission operations. Build backend services, APIs, databases, automation tools, and user interfaces in Python; interface with hardware, robotics, scientific instruments, and control systems. Collaborate across engineering disciplines, support mission integration and troubleshooting, document designs, and participate in reviews. More experienced engineers may lead technical efforts, mentor teammates, and shape software standards.

Leads software development strategy and execution, manages software development managers and teams, and oversees modernization of legacy applications. Establishes quality, performance, and delivery metrics; partners with Product, Architecture, Infrastructure, and project management leaders; supports Agile practices, cloud-first development, microservices, automation testing, and AI-enabled delivery improvements.

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.

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.

Technology interns complete an end-to-end project supporting a real business priority, using data, analytics, AI tools, and digital workflows. They collaborate across departments, develop practical solutions, validate AI-generated outputs, and present results to senior stakeholders. The 10-week hybrid program includes mentorship, structured training, and exposure to technology, data engineering, machine learning, IT, and analytics teams.

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 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.