Top Software Engineer Jobs

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.

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.

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.

Lead architecture and implementation of Together AI’s global GPU cloud infrastructure. Own GPU and network virtualization, in-data-center IaaS, distributed scheduling and management planes, fault-tolerant automation, and customer-facing production systems. Set technical direction across teams, mentor engineers, establish engineering standards, and build scalable services spanning Kubernetes, compute, storage, networking, and GPU infrastructure.

Build and scale AI medical scribe features using LLMs, develop responsive web and iOS experiences, and maintain audio-processing, cloud, and EHR integration infrastructure. Lead projects from concept to production, collaborate with product and design teams, and work directly with customers to gather feedback and rapidly improve the product.

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.

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.

Develop and optimize Azure SQL and SQL Server databases, including queries, stored procedures, indexing, triggers, data warehousing, and ETL. Build and maintain AI agents using autonomous and multi-agent architectures, prompt engineering, and RAG pipelines. Support Azure App Services and C# .NET applications, troubleshoot performance issues, lead database projects, mentor junior developers, and document technical solutions.

Designs, develops, deploys, tests, monitors, troubleshoots, and maintains cloud and on-premise integrations using MuleSoft, Workato, or similar iPaaS platforms. Translates client requirements into integration and transformation solutions, supports production environments, documents implementations, leads SIT and UAT activities, manages change support, resolves integration issues, and mentors developers and architects.

Designs and develops APIs, system integrations, and AI-agent workflows for enterprise applications. Builds integrations with platforms such as Salesforce and REST APIs, deploys and supports solutions on AWS, and develops AI-powered automation using LLMs, tool calling, and multi-step workflows. The role includes client requirements gathering, troubleshooting, reliability optimization, cross-functional collaboration, and mentoring junior developers.

Build and evolve Notion’s Developer Platform, including APIs, MCP tools, integration infrastructure, and internal platform capabilities. Partner with product, design, data science, and research teams to define strategy and deliver reliable, scalable features. Own production software end to end, improve platform performance and robustness, and drive high-leverage technical investments. Help developers and customers create integrations, automations, and connected workflows.

As an AI Native Software Engineer, you'll build products using AI coding agents, translating customer needs into solutions, and ensuring quality delivery and documentation.

As an Agentic Software Engineer, you'll build and deploy production-grade AI systems, reverse-engineer existing software, guide teams, and facilitate customer discovery.

As a Forward Deployed Engineer at Remitly, you will leverage AI agents to build applications, translate customer needs, and evaluate outputs for quality and security, focusing on delivery speed and robustness.

Develop and integrate cloud software, AI/ML capabilities, distributed analytics, and microservices on AWS and large-scale compute clusters. Responsibilities include requirements analysis, Java development, cloud deployment, testing, troubleshooting, RESTful services, Hadoop-based big-data processing, infrastructure as code, CI/CD, and Linux systems work. The role requires active TS/SCI clearance with polygraph and one approved cloud developer certification.

Develop and sustain cloud software for cyber intelligence and AI/ML capabilities. Responsibilities include requirements analysis, Java development, distributed systems, cloud deployment, software integration, testing, troubleshooting, analytics development, and technical documentation. The role uses AWS, Kubernetes, infrastructure-as-code, CI/CD, Hadoop technologies, Linux, microservices, LLMs, and RAG frameworks while supporting large-scale data processing and national security missions.

Develop and sustain cloud software for national security missions, including requirements analysis, integration, testing, validation, and issue resolution. Build AWS-based services and distributed systems using Java, Kubernetes, infrastructure-as-code, CI/CD, Linux, and microservices. Integrate AI/ML capabilities, LLMs, and RAG frameworks while supporting large-scale compute clusters, big-data technologies, RESTful services, and cloud security practices. The role requires active TS/SCI clearance with polygraph and collaboration in a mission-driven cyber intelligence environment.

Builds and ships user-facing product experiences and integrations using low-code, no-code, and AI-assisted development tools. Translates stakeholder needs into maintainable solutions, integrates platform services and APIs, applies authentication, security, privacy, and compliance controls, and partners with Product, Architecture, DevOps, Security, and QA. The role also defines testing, telemetry, documentation, runbooks, acceptance criteria, and post-launch product health metrics.

Develops scalable applications that transform complex data into mission capabilities. Collaborates with data scientists and mission analysts to prototype, build, integrate, test, deploy, and maintain analytic tools in enterprise environments. Applies software development, data science, machine learning, distributed data processing, and Agile practices to deliver reliable applications and improve mission workflows.

Lead engineering execution and technical direction while remaining approximately 75% hands-on. Responsibilities include developing LLM- and AI-powered products, coding, code review, debugging, platform performance, sprint planning, cross-functional coordination, technical mentorship, recruiting, and supporting engineers’ growth. The role partners closely with founders and product teams and offers a path toward Engineering Manager responsibilities.

Develop, test, maintain, and improve software solutions using established development practices. Write clean code, assist with feature implementation, debug issues, and collaborate remotely with team members. Support AI technology integration, automation, and AI-powered development workflows. Research emerging AI tools, document technical processes, and continuously develop programming skills.

The Grid Engineer designs and supports grid infrastructure for EDA workflows, enhancing performance and collaborating with engineering teams.

Develop and maintain business web applications for a government customer as part of an Agile team. Responsibilities include gathering requirements, designing and coding software, implementing business logic, developing web API interfaces, conducting unit and formal testing, managing configuration changes, estimating enhancements, troubleshooting production issues, and supporting user documentation and training.

Build and operate MeritFirst’s assessment and hiring platform, including candidate and employer experiences, assessment delivery and evaluation systems, workflows, infrastructure, and AI-enabled features. Own problems end to end from product discovery and system design through deployment, debugging, observability, and iteration. Develop reliable, interpretable, auditable, secure, privacy-conscious software, improve technical foundations, and help establish engineering standards as the company scales.