Top Software Engineer Jobs

Designs and develops innovative spatial computing, extended reality, and AI experiences for Fidelity’s innovation center. Responsibilities include rapidly prototyping applications, collaborating with design and product teams, building APIs and cloud-based systems, integrating hardware, supporting live interactive environments, and evaluating emerging technologies. The role requires expertise with immersive development platforms, databases, AWS, real-time graphics, and troubleshooting interactive experiences.

Develop and deploy software solutions for AI/ML, big data, and cloud projects supporting Naval Acoustics. Responsibilities include requirements analysis, system design, enterprise application integration, software development, systems analysis, troubleshooting, technical documentation, and collaborating with multidisciplinary teams in an agile environment. The role requires modern programming, containerization, cloud deployment, architecture and data-flow modeling, technical leadership, and support for operational end users.

Leads software engineering efforts for secure, scalable banking technology. Designs, develops, tests, debugs, and reviews production code while guiding teams in responsible AI-assisted development. Applies Java, cloud, microservices, distributed systems, generative AI, performance testing, and chaos engineering practices. Evaluates technical solutions with vendors and internal teams, automates recurring remediation, improves operational stability, and leads engineering communities of practice.

Leads software engineering teams and complex technology initiatives within Operations Collections. Establishes governance for agentic AI-enabled engineering, SDLC automation, quality controls, security, resiliency, and traceability. Directs technical strategy, budgets, resources, talent development, cloud-native solutions, and cross-functional delivery while influencing senior stakeholders and enabling reusable solutions across business domains.

Leads engineering teams and portfolios, architects scalable cloud-native systems, and develops full-stack distributed applications. Designs AI- and ML-enabled solutions using LLMs and modern cloud infrastructure, mentors engineers, drives architectural standards, and partners with product leaders. Responsibilities include building reliable microservices, APIs, data platforms, and personalized customer experiences using Java, JavaScript, TypeScript, Python, Go, AWS, databases, containers, CI/CD, observability, and automated testing.

Staff Software Engineer responsible for setting technical direction, architecting scalable distributed systems, shipping high-impact features, and building AI-powered tools for a virtual healthcare platform. The role includes mentoring engineers, partnering with product and clinical leadership, translating user needs into technical solutions, and guiding frontend and backend application development in a fast-paced startup environment.

Designs and leads globally distributed AI infrastructure that routes, prioritizes, and allocates computing capacity for Azure OpenAI and Microsoft Copilot. Responsibilities include coding, architecture, capacity optimization, reliability engineering, incident response, secure deployments, cross-team delivery, mentoring, and operating highly available services. The role also advances AI-assisted software development and responsible AI practices.

Design, implement, test, and ship secure, high-performance C++ features for Microsoft Edge, focusing on enterprise security, Data Loss Prevention, and Copilot integrations. Lead architecture across browser, cloud, identity, compliance, and management systems; collaborate cross-functionally to deliver scalable customer solutions. Mentor engineers, influence technical strategy, and improve product quality through telemetry and customer feedback.

Leads systems software prototyping and workload characterization for Azure hardware/software co-design. The role optimizes AI inference and LLM workloads, especially KV Cache placement, migration, and utilization across GPUs, CPUs, CXL memory, storage, and networks. Responsibilities include developing inference framework extensions, instrumentation, performance models, simulation frameworks, and memory-tiering proof-of-concepts while influencing long-term architecture and collaborating with hardware, software, workload, and industry partners.

Architects and engineers enterprise Microsoft Power Platform, Copilot Studio, Microsoft 365 Copilot, and agent-based solutions. Develops applications, automations, integrations, governance controls, and reusable implementation patterns. Partners with Security, Architecture, Governance, Risk, and platform teams on security, identity, ALM, administration, licensing, capacity, and cost management. Builds prototypes, provides technical leadership and mentoring, supports troubleshooting, and evaluates emerging Microsoft AI capabilities and low-code versus pro-code architectures.

Owns the end-to-end development of iOS monetization experiences, including paywalls, pricing, subscriptions, upgrades, and purchases across global storefronts. Partners with product, design, analytics, finance, and legal to prototype, experiment, launch, and optimize reliable consumer-scale features. Responsibilities include architecture, performance optimization, staged rollouts, code reviews, mentoring, and advancing AI-native engineering practices.

Design and implement scalable distributed systems for Azure AI traffic management, scheduling, routing, capacity allocation, and workload optimization. Build control-plane services, observability tooling, and automation for reliable, low-latency LLM inference across global infrastructure. Investigate production issues, improve resiliency and fleet efficiency, onboard models and regions, mentor engineers, lead cross-team initiatives, and influence long-term AI infrastructure strategy.

Leads the AI-assisted modernization of a legacy lending platform into .NET microservices on Azure and Kubernetes. Owns the rebuild roadmap, agent workflows, prompts, testing standards, code review, compliance coordination, delivery metrics, and AI tool governance. Coaches engineers, documents legacy business rules, and ensures generated code meets rigorous quality, security, data-isolation, and regulatory requirements.

Design and build applications using Python, manage component design, optimize performance, and collaborate with clients on innovative products.

Lead enterprise AI platform engineering, administration, integration, security, monitoring, optimization, and operational governance. Partner with engineering, infrastructure, cybersecurity, architecture, and business teams to deliver scalable AI capabilities. Own platform configuration, access management, onboarding, releases, testing, production readiness, cost controls, and incident management. Track technical milestones and risks, evaluate emerging AI technologies, communicate with senior management, and mentor engineering colleagues.

Designs and develops enterprise integration and AI automation infrastructure, including production MCP servers, AI agents, APIs, Celigo workflows, and secure connections to enterprise applications. Owns integration architecture, authentication, observability, error handling, access controls, monitoring, documentation, and production support. Builds reliable, scalable solutions using REST, SOAP, webhooks, enterprise authentication, and programming languages such as Python, JavaScript, Java, or C#.

Leads end-to-end technical solution design for Lending and Loan Operations platforms. Designs Azure cloud-native applications and enterprise APIs, reviews engineering plans and code, builds performance dashboards, ensures security, compliance, resilience, and regulatory alignment, and mentors engineers. Partners with architecture, product, business, security, and risk stakeholders while leading platform operations, incident support, business-as-usual activities, BCDR, and compliance initiatives.

Build and lead full-stack web applications and enterprise search capabilities using GCP and Vertex AI Search. Responsibilities include frontend and backend development, API and cloud service design, search indexing and relevance optimization, experimentation, performance tuning, testing automation, observability, reliability, and technical mentorship. The role partners with product, UX, marketing, data science, and ML teams to deliver personalized discovery experiences across GM digital products.

Execute data mapping, interfaces, integrations, and data-quality tasks across PLM and MDM platforms. Develop, configure, test, and document reusable service-oriented software and data-delivery components. Build proof-of-concepts, support enterprise architecture standards, evaluate tools, collaborate with business and project teams, and address product-structure and systems-integration challenges. The role requires experience with application engineering and exposure to ALM, PLM, microservices, big data, enterprise search, cloud, and DevOps technologies.

Leads enterprise application and data architecture initiatives across PLM and MDM platforms. Defines technical roadmaps, designs service-oriented and reusable software components, evaluates emerging technologies, and ensures data quality across integrated systems. Partners with business leaders, manages vendors, develops business cases, mentors technical teams, and builds proof-of-concept solutions using cloud, DevOps, microservices, big data, and enterprise search technologies.

Develop and maintain AWS cloud solutions, automation frameworks, APIs, microservices, CI/CD pipelines, and developer productivity tools. Use AI platforms to accelerate software delivery, implement Infrastructure as Code and DevOps practices, integrate third-party products, and support testing, code reviews, troubleshooting, production deployments, and operational automation.

Design, implement, test, debug, and evaluate production-grade Rust backend systems for AI training projects. Responsibilities include API and persistence development, asynchronous and concurrent processing, performance optimization, reliability analysis, architecture review, reproducible test environments, containerized workflows, and technical documentation. The role requires identifying correctness, scalability, and failure-handling issues while delivering high-quality implementation artifacts and meeting weekly project deadlines.

Build and operate Node.js and TypeScript backend services using durable workflows and AI-assisted development. Define service patterns, orchestrate migrations, maintain MCP and AI workflow tooling, and improve observability through metrics, alerts, dashboards, and tracing. Handle production incidents, contribute targeted frontend changes in React and Angular, and collaborate on architecture and code reviews in a fully remote environment.

Lead development of secure, scalable Java full-stack applications for mortgage technology. Design, develop, test, troubleshoot, review, and debug production code; improve operational stability through automation and remediation. Drive responsible adoption of enterprise-approved AI-assisted development tools, establish validation and security standards, coach engineers, and evaluate vendor and architectural solutions. Collaborate within agile teams using SDLC, CI/CD, resiliency, and security practices.

Leads multiple software engineering departments and sets strategy for transactional data, analytics, and AI platforms. Directs agentic AI-enabled engineering and SDLC automation, establishes governance and security guardrails, and prepares data applications for AI agent consumption. Oversees large-scale distributed systems, cross-functional delivery, data quality, resilience, incident response, stakeholder alignment, and talent development across a global banking organization.