Top Software Engineer Jobs

Build and own scalable full-stack mobility platform features across databases, backend APIs, and user interfaces. Collaborate with UX, product, and engineering teams to deliver high-quality experiences for high-throughput environments. Lead projects from inception through production, improve performance and reliability, champion engineering best practices, mentor junior engineers, and evaluate tools and frameworks for continuous platform improvement.

Leads architecture, development, testing, implementation, and support of enterprise Workday applications using Extend and integrations. Designs scalable frameworks, APIs, security models, automation, and engineering standards. Partners with product, security, business, and engineering teams in Agile delivery, mentors engineers, oversees technical governance, improves workflows, supports production issues, and advances platform modernization through AI, observability, and reusable components.

Leads architecture, development, testing, implementation, and support of enterprise Workday applications using Extend and integration technologies. Designs scalable frameworks, APIs, security models, automation, and engineering standards; guides Agile delivery across multiple teams; mentors engineers; optimizes workflows and business processes; supports production issues; and drives modernization through AI, observability, reusable components, and continuous improvement.

Leads architecture, development, testing, implementation, and support of enterprise Workday applications using Workday Extend and integration technologies. Designs scalable frameworks, APIs, security models, automation, and engineering standards; mentors engineers and guides delivery across Agile teams. Partners with business, product, security, and engineering stakeholders to modernize HR technology, optimize workflows, resolve production issues, and improve platform reliability, efficiency, and employee experiences.

Leads architecture and software engineering for cloud-based applications within JPMorgan Chase’s CTO-IAM organization. Defines target-state architecture, evaluates emerging technologies and vendors, develops and reviews secure production code, troubleshoots systems, and improves operational stability. Establishes reusable AI-enabled engineering patterns and governance across SDLC and CI/CD practices while ensuring resiliency, security, traceability, and auditability.

Lead integration of autonomy components into reference implementations and deployable stacks. Develop C++ and Python tooling, software-in-the-loop and hardware-in-the-loop tests, platform integration layers, automated fixtures, and troubleshooting workflows. Investigate cross-system failures, support deployment to representative hardware, collaborate on flight testing, analyze integration issues, and create documentation and training materials. The role spans perception, localization, planning, real-time systems, and safety-critical autonomous platforms.

Lead the modernization of Chewy’s fulfillment technology and warehouse management systems. Define architecture, write production code, build resilient cloud and edge systems, develop mobile warehouse applications, establish workflow and integration patterns, and integrate analytics, AI, robotics, and decisioning systems. Provide technical direction across teams, lead design and code reviews, improve engineering practices, and mentor engineers while ensuring high availability, observability, auditability, and operational continuity.

Develop and maintain ticketing and provisioning applications for Customer Experience Operations. Responsibilities include designing APIs, optimizing routing and case management systems, extracting data from SQL Server and AWS Athena, maintaining CI/CD pipelines, documenting technical workflows, and identifying AI automation opportunities. The role requires collaboration with stakeholders and full-lifecycle application development experience.

Lead end-to-end delivery of cloud-native, full-stack software initiatives, defining architecture, engineering standards, reliability practices, observability, CI/CD, and secure production operations. Build microservices, APIs, and AI capabilities using LLMs and generative AI. Guide responsible AI-assisted development, lead incident response and continuous improvement, mentor engineers, and align technical priorities across stakeholders and initiatives.

Leads development of full-stack, cloud-native software using Java, Python, and AWS. Builds secure microservices, APIs, and LLM-powered capabilities; establishes engineering, testing, reliability, observability, and CI/CD standards; mentors engineers; drives responsible AI-assisted development; and manages production operations, incident response, and technical direction across agile initiatives.

Provides hands-on technical leadership for enterprise Data Trust platforms. Designs and operates distributed systems supporting data contracts, metadata, lineage, quality, privacy, access controls, reliability, and semantic context for analytics and AI. Leads batch and streaming capabilities across Snowflake, AWS, and Kafka; establishes observability, SLOs, automated enforcement, and operational rigor. Drives cross-functional architecture and multi-quarter initiatives while mentoring engineers and building reusable platform standards.

Leads development of secure, scalable, cloud-native microservices applications for banking payments. Designs, builds, tests, debugs, and reviews production software using Java, React, distributed systems, and modern architectural patterns. Drives automation, resiliency, continuous delivery, technology modernization, and engineering best practices while mentoring colleagues and contributing to cross-team communities of practice.

Leads software engineering and quantitative development for asset management technology, building secure, scalable systems supporting research, portfolio management, and investment workflows. Develops and reviews production code using Java and/or Python, applies AWS cloud-native practices and infrastructure as code, improves operational stability, and promotes responsible AI-assisted engineering. Partners with stakeholders and vendors on architecture and technical solutions while supporting data engineering, distributed processing, databases, and financial services applications.

Design, build, test, and release secure shared services, libraries, pipelines, APIs, and platform capabilities for data and AI products. Partner with product managers, evaluate technologies, create design proposals, develop reusable versioned interfaces, and support production operations. Contribute to architecture and roadmap decisions, conduct code and design reviews, mentor engineers, and establish engineering practices for a new team.

Leads a US-based software engineering team building reusable data foundations and AI platform capabilities. Partners with product management on priorities and outcomes, manages and develops engineers, owns architecture and technical direction, contributes hands-on to critical designs and code, and oversees execution, reliability, testing, releases, cost, and production services. Requires strong data modeling, governance, cloud platform experience, product judgment, and cross-functional influence.

Leads multiple engineering departments delivering an enterprise AI infrastructure platform across on-premises, public cloud, and accelerated-compute environments. Owns Kubernetes-based training and experimentation platforms, platform APIs, distributed workloads, GPU scheduling, security controls, observability, reliability, and operational excellence. Partners with senior leaders, manages engineering managers and teams, drives platform adoption and scalability, and builds a high-performing engineering organization.

Own and develop Cloudflare’s procurement systems ecosystem, including Zip, Ironclad, Oracle Fusion Cloud Procurement, and Coupa migration. Administer environments, access controls, integrations, workflows, APIs, AI features, upgrades, and Tier 3 support. Partner with Procurement, Legal, Finance, Audit, Risk, and Compliance to optimize P2P and CLM processes, maintain SOX controls, enforce segregation of duties, support data governance, and ensure audit readiness and business continuity.

Lead architecture strategy and roadmaps for cloud-based, AI-enabled payment systems. Advise on technology selection, build reusable secure engineering patterns, develop and review production code, govern APIs and integration patterns, and drive digital transformation for onboarding and self-service experiences.

Lead enterprise payments architecture for card-present solutions, provide technical governance and guidance, integrate AI-enabled capabilities securely, develop and review production code, evaluate emerging technologies, and drive architecture decisions across product families.

Leads the design, development, deployment, and support of secure, scalable full-stack applications using Java, Spring Boot, React, and TypeScript. Owns cloud-native microservices, APIs, event-driven Kafka architectures, observability, reliability, and technical architecture decisions. Mentors engineers and establishes quality standards while advancing AI-assisted development, agentic workflows, responsible AI practices, and engineering automation.

Drive technical alliances with hyperscalers by developing reference architectures, technical content, and joint solutions. Influence product roadmap, enable sales through training and demos, support co-marketing, and represent Dynatrace in partner communities.

Leads full-stack engineering initiatives involving distributed systems, cloud-native applications, AI agents, RAG pipelines, and real-time interfaces. Designs frontend and backend architectures using modern web frameworks, APIs, microservices, and enterprise integrations. Provides technical leadership across teams, establishes architecture and coding standards, mentors engineers, drives reliability and observability practices, and shapes platform roadmaps and technology strategy.

Own the implementation, hardening, and polish of game AI behaviors and systems for shipping. Collaborate with design, animation, and other disciplines to tune AI features and support the creative vision. Ensure reliable, stable enemy behaviors and enhance existing architecture. The role requires deep Unreal Engine and modern game AI experience, strong C++ skills, animation systems knowledge, and at least one shipped game title focused primarily on AI.

Build and scale a multi-tenant AI Operations platform using backend microservices, GraphQL and REST APIs, databases, event-driven services, and AI/ML integrations. Design platform architecture, optimize distributed systems, implement observability, and deploy containerized services through CI/CD and orchestration tools. Collaborate with internal and external engineering teams to integrate modern and legacy systems into reliable, production-grade infrastructure.

Leads design, development, testing, deployment, and production support for secure Java microservices and REST or event-driven APIs. Owns DevOps execution, CI/CD pipelines, automated quality gates, resilience, observability, and comprehensive testing. Promotes responsible AI-assisted engineering practices, evaluates technology vendors, and guides teams on scalable AWS or private-cloud solutions using Cassandra and Kafka.