Top Software Engineer Jobs

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 and deploy motion planning software for autonomous trucks. Own features end-to-end, from design and integration through testing and validation, while solving complex vehicle-behavior challenges. Build high-performance modern C++ and Python for resource-constrained platforms, collaborate across autonomy and systems teams, shape architecture and roadmaps, and use simulation and unit testing to ensure safe, reliable trajectories.

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 and develops engineering teams responsible for wealth management products, platforms, and services. Provides technology strategy, architectural guidance, governance, and delivery oversight while driving cloud modernization, DevSecOps, automation, resilience, security, and operational excellence. Partners with Product, Architecture, Data, and business leaders to align technology investments with client and business outcomes. Mentors future leaders and ensures compliance with regulatory, security, and risk requirements.

Designs, develops, tests, and operates secure Azure data services in air-gapped and regulated environments. Responsibilities include writing maintainable code, debugging incidents, conducting code reviews, improving reliability and security, evaluating architectural options, contributing to design documents, and mentoring engineers. The role applies AI tools across the software development lifecycle and ensures solutions meet performance, scalability, compliance, privacy, and resiliency requirements.

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.

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.

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.

Leads hands-on software development within an AI-focused pod, delivering production applications with .NET, React, and Azure. Coaches developers on AI-first practices, agent design, prompt engineering, and orchestration. Partners with Product Owners to define requirements, user stories, priorities, and delivery sequencing. Provides technical leadership in client-facing discussions, ensures architectural and engineering quality, mentors teams, supports consulting pursuits, and designs technology solutions for enterprise analytics and operational goals.

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.