Top Software Engineer Jobs

Develops and maintains business web applications within an Agile team for a government customer. Responsibilities include translating requirements into software, writing and testing code, developing web API integrations, conducting impact analysis, supporting production troubleshooting, managing configuration changes, and proposing system improvements. The role requires collaboration with analysts, UI/UX developers, testers, project leads, and customers, along with maintaining technical documentation and application knowledge.

Leads software engineering within an agile Digital Utilities team, designing, developing, testing, debugging, and maintaining secure, scalable Java and cloud-native applications. Reviews code, improves operational stability, automates recurring remediation, and promotes enterprise-approved AI-assisted engineering practices with secure validation standards. Evaluates vendor and internal architectural solutions, coaches engineers on responsible AI adoption, and applies software development lifecycle, resiliency, security, and financial-services technology expertise.

Leads delivery of scoped software features and AI/ML models across advertising and customer engagement platforms. Designs, develops, tests, debugs, and maintains scalable software using JavaScript, Python, Java, and C++. Integrates AI/ML capabilities, participates in solution design, supports DevOps and continuous integration, monitors performance, conducts code reviews, translates business needs into technical requirements, and mentors peers.

Leads and mentors a backend engineering team building cloud-native provisioning and orchestration services for CrowdStrike’s AI Detection and Response platform. Owns technical vision, architecture, roadmap, reliability, incident response, engineering practices, hiring, and team development. This player-coach role includes approximately 20–30% hands-on coding, collaboration with product and engineering stakeholders, and delivery of scalable distributed systems supporting large-scale security event processing.

Design, develop, test, debug, document, and enhance complex software systems for DoD and Naval programs. Define requirements, architecture, and software designs; conduct benchmarking and performance analysis; support unit, system, and system-of-systems testing; prepare technical documentation and reports; identify constraints and corrective actions; and provide technical recommendations. The role may involve cybersecurity, real-time programming, UML/SysML modeling, machine learning, or other data-driven technologies.

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.

Reviews and evaluates engineering, infrastructure, and platform documents and work products for technical accuracy, completeness, clarity, consistency, and relevance. Provides structured feedback, identifies errors and gaps, compares technical approaches, and follows defined evaluation frameworks. Requires independent work, strong communication, analytical ability, and professional engineering judgment. The role is fully remote and supports varied technical evaluation projects as an independent contractor.

Co-found and lead the technical direction of a new B2B AI venture. Own problem framing, architecture, system design, AI product development, customer discovery, product validation, fundraising support, and eventual technical team building. The role requires shipping reliable AI products to real users, designing maintainable LLM and agentic systems, translating ambiguous requirements into executable specifications, and committing full-time and exclusively as a founder.

Software interns join GE HealthCare engineering teams for a 10-week summer project. Responsibilities include designing, testing, and debugging product software; developing internal tools; performing data analytics and visualization; and creating technical documentation. Candidates must study computer science, computer engineering, biomedical engineering focused on software, or a related field, and demonstrate technical competency, communication, initiative, teamwork, and leadership. Relocation to Milwaukee/Waukesha or another applicable site is required.

Rotational technology development program providing hands-on experience across cybersecurity, data analytics, technical product and project management, artificial intelligence, application development, and IT infrastructure. Participants receive structured training, mentorship, and leadership development while contributing to healthcare-focused digital transformation initiatives.

Lead development and maintenance of software powering autonomous robotic strawberry harvesting. Build across SCADA communications, perception, motion planning, and robotic controls; translate requirements into production-ready software; validate through simulation and field testing; troubleshoot deployments; and collaborate with robotics, hardware, controls, and operations teams to improve system reliability.

Design, build, and maintain customer-facing digital commerce services (checkout, billing, subscriptions, catalog, cart, orders). Use AI-assisted workflows for coding, testing, review, and documentation. Develop scalable, low-latency APIs and services, improve observability, automation, and engineering practices, and partner with cross-functional teams to deliver reliable solutions.

Works with IT professionals in an agile environment on software design, development, testing, prototyping, debugging, technology investigations, and project management. Potential focus areas include software development, AI/ML, cybersecurity, networking, infrastructure, cloud engineering, data engineering, and analytics. Interns receive mentorship and collaborate on digital transformation initiatives.

Design, develop, and operate a production agentic data platform using Spark, Kafka, Airflow, Snowflake and AWS. Write secure high-quality code across frontend and backend, leverage enterprise AI-assisted development and LLMs (Claude Code, agents, RAG, embeddings), build autonomous agents and MCP server components, apply secure/responsible AI practices, troubleshoot systems, and own full-stack application/platform delivery with CI/CD, containers, and observability.

Lead an agile engineering team to design, build, and operate high-scale, secure Java applications and internal developer platforms. Drive adoption of enterprise-authorized AI-assisted development tools, improve observability and reliability (SLOs, alerting), own on-call and incident response, and mentor peers on responsible AI usage and best engineering practices.

The Staff Forward Deployed Engineer at GitLab works with strategic accounts to adopt GitLab and GitLab Duo Agent Platform, guiding technical discovery and building reusable solutions for complex enterprise environments.

Lead collaborative teams in designing, developing, testing, deploying, and maintaining scalable software. Own feature delivery, integrate AI and machine learning components, conduct code reviews, monitor application performance, manage defects, and ensure secure, reliable, maintainable solutions. Translate business needs into technical requirements, define success metrics, and drive continuous improvement across the full software development lifecycle.

Design, prototype, develop, and debug moderately complex software for semiconductor equipment components and devices. Create reusable modules and libraries, write documentation and test procedures, troubleshoot software issues, implement fixes, analyze requirements, coordinate schedules, and communicate with internal and external customers. The role also involves applying machine learning and AI concepts to develop innovative solutions.

Software Engineer Interns will help develop, test, and operate integrated cloud services supporting AI-powered hardware products. Responsibilities include collaborating with hardware, AI, platform engineering, and infrastructure teams; contributing to AI assistant and conference room device projects; solving software problems independently and collaboratively; and communicating across teams to deliver reliable solutions.

Develops, tests, debugs, deploys, and maintains software solutions involving artificial intelligence and Wireless LAN products. Collaborates on software and hardware integration, analyzes systems and processes, recommends improvements, documents designs and test results, and supports quality and performance validation. The role requires hybrid work in Holtsville, New York, is expected to begin in Summer 2027, and includes travel of up to 15%.

Leads Anthropic’s Forward Deployed Engineering organization, hiring and developing engineers, overseeing enterprise customer engagements, reviewing architectures and code, and establishing repeatable deployment playbooks. The role partners with Sales, Product, and Engineering to translate customer insights into product improvements. It is a player-coach position requiring technical discovery, prototyping, debugging, operational planning, and executive-level customer communication. Travel to customer sites is required 25–50% of the time.

Lead and grow a high-performing engineering team while remaining hands-on with architecture, system design, code review, and technical decisions. Own roadmap planning and delivery, build scalable and reliable infrastructure, improve observability and performance, and partner with product, design, and leadership to solve ambiguous problems. The role also involves hiring, mentoring, developing engineering culture, and ensuring systems deliver measurable customer impact.

Designs and delivers Power BI features within Microsoft Fabric, applying AI-native development practices across the SDLC. Provides technical leadership, mentors engineers, guides stakeholders, confirms customer requirements, and supports large-scale production services through on-call incident monitoring. Requires strong software architecture, distributed systems, cloud platform, reliability, performance, security, and AI expertise.

Two-year technology associate rotation program featuring four six-month assignments across application delivery, operations, analytics, UX, cloud, data engineering, AI, cybersecurity, front-end and full-stack development, testing, and product development. Associates complete technical deliverables, collaborate with stakeholders, support projects, and develop skills leading to a permanent Technology division role. Candidates must be recent or upcoming technical-degree graduates with relevant internship, leadership, mentorship, or solution-development experience.

Design and build scalable automation for marketing content and sites. Develop maintainable, testable software, apply AI-native engineering practices, and use telemetry and feedback to improve performance and user outcomes. Implement security, reliability, compliance, deployment, and monitoring best practices for marketing applications while collaborating with stakeholders and promoting engineering principles across teams.