Top Software Engineer Jobs

Leads development of scalable platform capabilities across the full software lifecycle, including design, coding, testing, deployment, observability, and maintenance. Applies cloud-native architecture, builds AI-driven applications, integrates machine learning components, and conducts system design reviews. Mentors engineers, influences technical decisions, collaborates with stakeholders, and uses metrics to improve engineering processes and platform reliability.

Leads development, integration, deployment, and support of enterprise applications, databases, reporting solutions, workflow automation, and AI-enabled technologies for the university’s research and innovation division. Responsibilities include Microsoft SQL Server administration, system integrations, data pipelines, troubleshooting, application security, modernization, dashboard development, and technical architecture. The role collaborates with stakeholders to translate business requirements into secure, reliable, data-driven solutions and provides technical leadership for emerging AI initiatives.

Lead the design, development, and delivery of complex Salesforce solutions, integrations, and platform capabilities. Provide architectural direction, technical leadership, mentoring, code and design reviews, and end-to-end ownership. Remain hands-on with Apex, LWC, APIs, testing, automation, observability, and CI/CD while modernizing the Salesforce platform, reducing technical debt, and driving alignment across product, engineering, architecture, and partner teams.

Lead the design, development, integration, and modernization of complex Salesforce enterprise solutions. Provide architecture and technical leadership, remain hands-on with Apex and LWC development, improve CI/CD and automation, manage technical risks, mentor engineers, and drive scalable, secure platform capabilities across distributed systems.

Develop and improve core software services supporting customer intake, application screening, and information dissemination. Design distributed, cloud-based, microservice architectures; identify bottlenecks; improve reliability and scalability; and deliver production-ready features. Work across the technology stack, contribute to system design and modernization, mentor junior developers, communicate technical decisions, and use data, AI, and automation to improve engineering outcomes.

Develop and architect physics-based modeling and simulation software for advanced space nuclear systems. Lead software engineering standards, architecture, code reviews, testing, verification and validation, release management, CI/CD, and documentation. Refactor scientific codes, build multiphysics simulation interfaces, ensure reproducibility, and collaborate with NASA and multidisciplinary engineering teams. The role requires C++, Python, engineering software development, numerical methods, high-performance computing, parallel processing, and the ability to validate physics-based models.

Leads complex software initiatives, architectural decisions, and technical strategy for scalable distributed systems. Designs cloud-native, microservices-based, event-driven architectures on AWS; integrates AI and machine learning into production systems; mentors engineers; establishes standards for quality, security, observability, and operational excellence; and translates ambiguous business needs into reliable technical solutions.

Leads the architecture and development of scalable, cloud-native, AI-powered software systems for Walmart Marketplace. Owns service execution and architectural integrity, drives DevOps, CI/CD, reliability, incident analysis, and performance improvements, and resolves architectural bottlenecks. The role also mentors engineers, promotes strong design and testing standards, and collaborates cross-functionally to deliver maintainable, business-aligned solutions.

Lead architecture, technical design, and hands-on software development across macOS, Windows, web, and server platforms. Build and scale complex systems, rapidly deliver user value, maintain engineering quality through testing and continuous integration, and collaborate with product, design, leadership, users, and partners. The role requires technical leadership in a fast-changing startup environment, with potential work spanning local LLMs, infrastructure autoscaling, collaboration features, and secure key distribution.

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.

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.

Own end-to-end enterprise platform deployments, from scoping customer workflows through production launches and iteration. Configure AI agent behavior, integrations, retrieval, prompts, workflows, operating procedures, and safety guardrails within complex SAP environments. Create technical artifacts, evaluation plans, and customer documentation; apply AI tools to development, testing, data, and support. Partner with the Platform team to develop repeatable deployment abstractions while working directly with enterprise stakeholders.

Leads the design and implementation of large-scale, cloud-native full-stack systems for cloud operations resilience. Develops distributed microservices using Python, Go, JavaScript, TypeScript, AWS, Docker, and Kubernetes. Defines platform roadmaps, architecture, engineering standards, and operational practices while improving reliability, performance, and technical debt. Mentors engineers, leads design reviews and cross-functional initiatives, evaluates emerging AI technologies, and influences enterprise technology strategy.

Build and lead development of cloud-based, full-stack systems supporting observability, connectivity, resilience, and availability. Design distributed microservices, define service boundaries, establish engineering standards, improve system performance, reduce technical debt, and implement AI-powered solutions. Collaborate with product managers and architects, influence technology strategy, mentor engineers, and drive cross-functional technical initiatives using Python, Go, JavaScript, TypeScript, AWS, Docker, and Kubernetes.

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.

Design, build, test, deploy, and operate platform features for engineering teams. Develop AI-assisted workflows, distributed systems, observability, automated validation, progressive rollout, and recovery tools. Collaborate with partner teams, gather requirements, troubleshoot production issues, participate in reviews, and support features through their lifecycle, including on-call responsibilities.

Designs, develops, tests, deploys, and maintains Microsoft Power Platform applications, automations, virtual agents, and Power BI reports. Partners with business analysts and stakeholders to identify process improvements, digitize workflows, automate administrative tasks, and analyze data. Documents technical designs, supports governance and best practices, troubleshoots deployed solutions, collaborates on QA, estimates project effort, and mentors colleagues. The role requires onsite work in Kansas City and familiarity with programming, APIs, networks, SFTP, and machine learning concepts.

Develops and delivers interactive technical demonstrations showcasing Intel platforms, software, cloud, AI, networking, edge, and accelerated computing solutions. Responsibilities include demo research, solution design, software preparation, optimization, configuration, debugging, troubleshooting, stakeholder coordination, executive presentations, partner engagement, and event support. The role works in Intel labs, supports robotics and physical AI demonstrations, and requires 35% travel.

Develops, tests, deploys, and operates Azure Data product features in highly secured, air-gapped environments. Responsibilities include coding, architecture collaboration, automated testing, incident response, deployment automation, security hardening, telemetry, reliability improvements, and on-call support. The engineer works with partner teams to meet performance, scalability, privacy, compliance, and government customer requirements while using AI tools throughout the software development lifecycle.

Leads geographically distributed Business Analyst and Software Engineering teams delivering global enterprise Time and Pay solutions. Owns strategy, architecture, development, integrations, modernization, automation, quality, and operational performance across Oracle and ADP platforms. Partners with HR, Finance, vendors, and technology leaders to define roadmaps, address multinational payroll and workforce requirements, and deliver scalable solutions. Requires extensive enterprise application leadership, cloud, AI, systems integration, and transformation experience.

Design and build scalable Go or Rust backend services and data pipelines for asset discovery, recognition, and enrichment. Solve distributed-systems challenges involving concurrency, fault tolerance, and high-throughput processing. Integrate AI and ML capabilities, use AI-assisted development tools, contribute to architecture and technical standards, mentor engineers, and participate in code reviews and continuous improvement.