Top Software Engineer Jobs

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.

Design, develop, and operate scalable software platforms and automation for Azure network qualification infrastructure. Build tools for device provisioning, configuration, lifecycle management, testing, telemetry, and health validation. Develop AI-powered agents for troubleshooting, root-cause analysis, and engineering productivity. Create reliable distributed systems with observability, diagnostics, automated recovery, and scalability while collaborating across software and network engineering 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.

Define architectural direction for Azure Specialized platform services and lead the design of highly available distributed cloud systems. Drive reliability, scalability, observability, security, diagnostics, and operational improvements across engineering organizations. Establish service health frameworks, SLOs, metrics, and governance for mission-critical services. Mentor engineers, influence technical strategy, resolve complex cross-system challenges, and advance AI-assisted troubleshooting and platform modernization.

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.

Design, develop, test, debug, and document complex software solutions for semiconductor equipment components and devices. Lead software projects, define specifications and test plans, troubleshoot challenging software problems, and collaborate with internal and external customers on requirements, schedules, and technical issues. The role involves applying machine learning and AI to create innovative solutions, with limited supervision and potential leadership of moderate-sized projects.

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.