Top Software Engineer Jobs

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.

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.

Leads enterprise technology development across ServiceNow, Salesforce, AI platforms, and integrated applications. Responsibilities include developing applications, implementing AI and automation, managing cross-platform projects, creating technology roadmaps, coordinating resources, supporting migrations, strengthening security and compliance, mentoring teams, and managing stakeholders. The role requires federal IT governance experience, enterprise-scale implementations, and the ability to obtain a Public Trust.

Leads Magna’s software engineering organization across multiple products and business lines. Oversees engineering managers, QA, DevOps/SRE, and architecture leaders while owning organizational development, delivery execution, modernization, quality, security, and operational reliability. Partners with executives and cross-functional teams to translate priorities into roadmaps and measurable outcomes. Guides AI-enabled product development, including responsible deployment of large-language-model capabilities, and supports integration of acquired platforms. This remote U.S. role requires approximately 10% travel to Philadelphia-area offices.

Leads hands-on development and architectural design of scalable, secure middleware platforms. The role establishes engineering standards, mentors engineers, applies DevSecOps and SRE practices, advises business and product stakeholders, and drives delivery of complex software solutions. Responsibilities include building Java and Spring Boot systems using Kafka, microservices, GraphQL, and NoSQL technologies; improving resilience and operational excellence; evaluating emerging technologies; and ensuring high-quality design, code, security, and technical documentation.

Design, prototype, develop, document, test, and debug software solutions for semiconductor equipment components and devices. Troubleshoot software issues, communicate with internal customers to understand requirements, and contribute to innovative software solutions involving machine learning and AI. This full-time role begins in Summer 2027 and includes approximately 10% travel.

Leads multiple .NET development teams and QA functions delivering secure, scalable Azure-hosted applications. Establishes Agile delivery practices, engineering metrics, testing standards, CI/CD and DevSecOps processes, application security controls, and production support practices. Drives adoption of AI-assisted development tools and leads AI-driven and agentic solution delivery. Partners with architecture, security, cloud, product, and business stakeholders while managing hiring, coaching, technical debt, compliance, and continuous improvement.

The Principal Engineer will lead the design and delivery of core platform capabilities, focusing on scalable systems, AI application, and mentoring engineers while driving architectural decisions and improving operational systems.

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.

Designs, develops, and maintains warehouse automation and warehouse management solutions. Responsibilities include programming, systems integration, ASRS implementation, dashboard analytics, AI and machine learning initiatives, robotic process automation, data pipeline development, code reviews, technical design reviews, documentation, and troubleshooting across hardware, network, and software operations.

Designs, develops, and maintains warehouse automation and parts-distribution technology solutions. Responsibilities include enhancing warehouse management systems, integrating ASRS platforms, building dashboards and data pipelines, implementing AI, machine learning, and robotic process automation, reviewing code, leading technical design decisions, and troubleshooting hardware, network, and service issues. The role also supports application modernization, systems architecture, web services, infrastructure planning, and containerized deployments.

Teach undergraduate computer science courses across class levels, conduct impactful computer science or AI research, mentor student projects, and contribute to building an innovative university. Candidates should demonstrate strong teaching ability, research or advanced technology work, multidisciplinary interests, and the ability to support students pursuing entrepreneurship, professional careers, or graduate study.

Paid 12-week internship supporting the Commercial Tech team with Salesforce data-flow automation, process streamlining, sales applications, digital sell sheets, and AI initiatives. The intern will assist with reports, presentations, meetings, documentation, process improvements, and special projects while collaborating with technology, sales, and cross-functional teams. The role is based in Keene, New Hampshire, and includes mentoring, professional development, networking, and an end-of-internship presentation.

Build and operate software and AI tools supporting research into fault-tolerant neutral atom quantum computing architectures. Collaborate closely with a tight-knit team to design and develop systems for the company’s quantum computer. Prior quantum computing experience is not required, and candidates at all experience levels are welcome.

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.

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.