Top Software Engineer Jobs

Leads the Client Platform technology organization, owning engineering, architecture, delivery, technology strategy, platform investment, AI capabilities, data integration, and governance. Partners with Product Owners and business leaders across institutional, wealth, intermediary, marketing, sales, and client servicing functions. Oversees client-facing technology ecosystems, vendor relationships, contract negotiations, risk controls, and scalable capabilities for wealth distribution, private markets, CRM, marketing, and client engagement.

Architects and builds distributed configuration, feature-flagging, experimentation, and rollout infrastructure. Designs scalable, reliable backend systems; establishes automated safeguards, progressive delivery, observability, rollback, and measurement capabilities. Integrates AI into platform development and operational workflows, leads cross-team technical initiatives, delivers APIs and self-service tools, mentors engineers, and owns production outcomes.

Build and operate production software autonomously while working closely with customers, product managers, and design. Investigate repair-industry workflows, shape product direction, design and implement solutions, and deliver trustworthy AI-assisted experiences. Define and measure outcomes, improve customer value and production performance, make pragmatic technical trade-offs, mentor teammates, and create reusable tools and patterns. The role emphasizes end-to-end engineering across user experience, backend services, and data flows.

Leads the design, modernization, and operation of scalable, low-latency event processing and notification platforms. Oversees distributed systems architecture, workflow automation, self-service capabilities, AI-enabled engineering tools, and legacy mainframe modernization. Provides technical direction and develops engineering teams while owning reliability, throughput, performance, capacity planning, incident management, and platform strategy across brokerage messaging services.

Designs, implements, supports, and improves enterprise integrations, middleware, APIs, automation, data exchanges, reporting platforms, and system connectivity. Troubleshoots complex production issues, develops documentation, improves monitoring and operational reliability, and partners with business, technical, security, analytics, and vendor teams. The role also supports UKG Ready integrations, AI and automation initiatives, governance, technical standards, modernization efforts, and mentorship.

Provides technical leadership for enterprise systems development, including project planning, requirements analysis, software design, coding, testing, debugging, documentation, integrations, upgrades, and production turnover. Leads complex programming initiatives, coordinates project activities, communicates with customers, maintains automated business processes, and mentors technical staff. The role also supports process improvement, user training, troubleshooting, quality activities, and project management coverage.

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.

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.

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.

Architects and develops systems software for emerging memory and storage technologies, with emphasis on AI inference stacks and heterogeneous computing. Responsibilities include Linux application and library development, emulator creation, system-level debugging, accelerator programming, performance evaluation, technical leadership, cross-functional collaboration, mentoring, and presenting technical findings. The role requires expertise across AI frameworks, inference engines, operating systems, kernels, hardware interfaces, memory hierarchies, and distributed serving systems.

Leads Barings’ global technology and data strategy, operating model, senior technology leadership team, AI adoption, application development, data capabilities, cybersecurity, infrastructure, resilience, and digital transformation. Partners with executives, risk, compliance, and the board to govern investment, vendors, delivery, and technology risk while building a high-performing, innovative organization.

Leads hands-on software engineering across delivery teams by establishing architectural and coding standards, contributing production code, conducting reviews, building reusable accelerators, and driving AI adoption. Develops ReactJS, NodeJS, and AWS cloud-native solutions; mentors senior engineers; creates technical training; audits project compliance; and collaborates with product, DevOps, and QA stakeholders.

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.

Tenure-track Assistant Professor of Computer Science responsible for teaching undergraduate courses across the curriculum, conducting research with undergraduate students, developing innovative instruction, and contributing to multidisciplinary collaborations and student Applied Groups. The role requires participation in Earlham’s liberal arts mission, inclusive community, and principles and practices.

Build and launch full-stack product features for personal AI agents across web interfaces, APIs, backend services, and data models. Design persistent asynchronous workflows, agent execution interfaces, and reliable cross-device experiences. Translate emerging model capabilities into prototypes, improve performance and fault recovery, and own projects from exploration through launch and iteration. Help establish technical direction, testing practices, and observability while collaborating with product, design, research, and engineering teams.

Design, implement, and operate Oracle Fusion Financials and integrated finance platforms. Build accounting solutions, Financial Accounting Hub implementations, APIs, middleware, controls, reconciliations, monitoring, and automation across accounting, payables, supply chain, revenue, infrastructure, and intercompany processes. Lead production issue resolution and apply AI and agentic technologies to improve finance operations, auditability, and close processes.

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.

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.