Top Software Engineer Jobs

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 architecture, development, and operation of highly available distributed cloud systems powering Microsoft 365, Copilot, AI agents, search, retrieval, indexing, and data processing. Drive scalability, reliability, security, performance, and operational excellence; collaborate across teams, improve diagnostics and incident response, shape platform strategy, mentor engineers, and promote engineering best practices.

Leads a new physics algorithms engineering team developing simulation and modeling technologies for e-beam semiconductor inspection. Responsibilities include team building, technical strategy, production algorithm delivery, roadmap ownership, customer deployment support, and collaboration with computer vision, machine learning, product engineering, and semiconductor manufacturing teams. The role requires expertise in physics-based modeling, computer vision, AI, high-performance computing, and large-scale algorithm development.

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.

Own the architecture, implementation, release, and operation of core platform services. Build backend services with TypeScript, Node.js, and Python, contribute to React features, and deploy AI-powered capabilities to real users. Partner with engineering, product, design, and data teams; make system design tradeoffs; establish testing, code review, release, and incident practices; and use AI coding assistants in daily development.

Leads software engineering, business intelligence, AI solutions, and R&D functions. Translates organizational priorities into delivery plans, governs portfolios, manages budgets and resources, oversees quality and security practices, and supports internal and client-facing engagements. Develops leaders and technical teams, improves operational performance, monitors project health and profitability, partners with sales and stakeholders, and guides automation, data, software, and AI initiatives from delivery through operational support.

Design, develop, test, debug, and document complex software for semiconductor equipment components and devices. Lead software projects, define specifications and test plans, troubleshoot difficult software issues, analyze requirements, coordinate schedules, and communicate with internal and external customers. The role requires expertise in C++, C#, semiconductor manufacturing standards, hardware, system integration, and EFEM technologies, with opportunities to apply machine learning and AI.

Develops secure, scalable software for Azure AI Platform services across air-gapped, sovereign, and commercial clouds. Responsibilities include coding, architecture, testing, deployment automation, security hardening, monitoring, incident response, reliability improvements, and on-call support. The engineer collaborates with partner teams, applies AI-assisted development practices, contributes to design and implementation plans, and ensures compliance, privacy, performance, and operational requirements for mission-critical AI infrastructure.

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.

Staff Software Engineer responsible for designing, building, deploying, and operating Walmart’s cloud-native transportation platform. Develops backend and full-stack capabilities using distributed systems, APIs, infrastructure, and AI/ML components. Leads architectural decisions, system design reviews, software delivery, observability, and process improvement while mentoring engineers and influencing technical strategy. Supports transportation workflows across planning, execution, tracking, settlement, and carrier experiences.

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.

Leads the design and development of scalable, cloud-native, AI-powered software systems. Translates strategic objectives into system implementations, drives architectural integrity, reliability, security, and operational excellence, and champions DevOps and CI/CD practices. Provides technical guidance through code reviews, architecture decisions, and incident analysis while mentoring engineers and improving system scalability, observability, and delivery velocity across engineering teams.

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.

Two-year remote training program developing full-stack automation engineering skills. Responsibilities include supporting and developing applications, writing and testing code, automating use cases with Ansible and Jenkins, troubleshooting, improving system efficiency, collaborating with business and product teams, and working with Agile, DevSecOps, cloud, security, networking, and AI technologies.

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.

Leads the architecture and development of scalable, cloud-native AI-powered software systems and agents. Drives architectural integrity, reliability, DevOps, CI/CD, observability, automation, and cloud cost optimization. Provides technical guidance, conducts code reviews, resolves architectural bottlenecks, mentors engineers, and collaborates across teams to align technical solutions with business objectives and customer needs.

Leads the architecture and development of scalable, cloud-native, AI-powered software systems. Drives technical strategy, architectural integrity, DevOps, CI/CD, observability, automation, and operational excellence across the software lifecycle. Provides technical guidance, resolves architectural bottlenecks, mentors engineers, and collaborates with cross-functional stakeholders to deliver reliable, maintainable solutions aligned with business objectives.

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.

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.