Top Software Engineer Jobs

Leads multiple software engineering teams within employee platforms, providing technical guidance, managing delivery, coaching engineers, and ensuring compliance with business requirements and service levels. Drives responsible adoption of enterprise-authorized AI-assisted development, SDLC automation, and reusable engineering practices. Oversees stakeholder relationships, project dependencies, agile delivery, security, application resiliency, and cloud-native engineering initiatives.

Leads diverse technology projects and developer teams building cloud-based, full-stack risk management solutions. Provides technical direction across Agile teams, defines architecture and service integrations, mentors engineers, establishes engineering standards, and drives system performance and technical debt reduction. Develops distributed microservices and APIs using modern programming languages, databases, containers, AWS services, AI tools, CI/CD, and observability practices.

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.

Provides Level 3 customer support for HPE Cray Programming Environment software. Analyzes, reproduces, isolates, debugs, and resolves complex issues; develops workarounds; escalates unresolved problems to HPE R&D or external partners; performs pre-release testing; documents issue resolution; supports customers after hours; and mentors less-experienced staff.

Leads the strategy, engineering, and operations of enterprise-scale Snowflake data platforms supporting approximately 600 million daily transactions. Directs multiple engineering teams, drives agentic AI-enabled engineering practices, delivers secure and governed data products, and ensures platform scalability, resilience, observability, data quality, and cost efficiency. Partners across Finance, Risk, Operations, Sales, and Marketing while managing complex global initiatives and developing high-performing engineering talent.

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 development of agentic-AI capabilities and an evaluation/provenance harness to safely automate bulk code changes. Design CI/CD integrations, PR-provenance controls, observability, test/eval tooling, rollout of standards, and operational support to scale machine-authored changes while ensuring auditability, security, and reliability.

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.

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.

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.

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.