Top Software Engineer Jobs

Investigates and resolves complex customer issues involving software, APIs, cameras, imaging systems, algorithms, integrations, and development environments. Develops and debugs customer-specific code, diagnostic tools, integrations, scripts, and documentation. Provides technical guidance, analyzes logs, reproduces issues, and collaborates with Support, Product, and Engineering teams. Supports Engineering Services engagements through planning, development, testing, validation, documentation, and deployment while translating customer feedback into product improvements.

Develop and maintain enterprise React-based applications, analyze requirements, support design accuracy, own product modules, and create reusable components. The role involves unit testing, responsive and multilingual web applications, cloud platforms, databases, DevOps collaboration, bug resolution, performance standards, and integration testing within a scalable microservices environment.

Lead full-stack development of secure, scalable digital banking applications using Angular, TypeScript, Java, Spring Boot, microservices, GCP, and Kubernetes. The role involves architecture, API design, DevOps, CI/CD, distributed systems, observability, security, and technical leadership. Responsibilities include mentoring engineers, conducting design reviews, improving engineering standards, supporting resilient cloud-native platforms, and evaluating AI-assisted development tools.

Build and evolve Mercury Command, an LLM-powered financial assistant. Develop backend or full-stack capabilities, design and ship new product skills, collaborate with product and compliance teams, and create tests validating functionality. The role requires strong product ownership, user empathy, comfort with ambiguity, and enthusiasm for using AI tools to improve development and product quality.

Assists with developing, testing, deploying, troubleshooting, and maintaining software applications supporting cyber training environments. Contributes to APIs, scripts, databases, automation, user interfaces, CI/CD pipelines, infrastructure configuration, simulations, and documentation under senior guidance. Collaborates with instructors, developers, system administrators, and technical teams while building foundational expertise across the software development lifecycle.

Build and ship full-stack web products from prototype to production, owning user interfaces, APIs, data models, AI-powered workflows, instrumentation, testing, reliability, and performance. Collaborate directly with customers, design, operations, and marketplace teams; run experiments and improve product outcomes. The role also establishes engineering patterns, strengthens architecture and documentation, and delivers meaningful product improvements weekly in an onsite NYC environment.

Leads software application design, architecture, development, testing, optimization, monitoring, and technical support. Collaborates with cross-functional teams to define requirements, analyzes complex data, documents technical specifications, identifies technology resources, and mentors IT personnel. The role also establishes sophisticated testing procedures and guides responsible adoption and validation of AI development tools across software workflows.

Design, build, and operate secure Azure cloud infrastructure and backend services for distributed radar systems. Develop low-latency services that ingest and process real-time sensor data, automate deployments with infrastructure as code and DevOps practices, and own observability, reliability, resiliency, and operational readiness. Collaborate with software, hardware, and systems engineers to shape platform architecture and deliver secure, scalable mission-critical capabilities.

Build and operate secure Azure cloud infrastructure and backend services for distributed radar systems. Develop low-latency services for real-time sensor data, automate deployments with infrastructure as code and DevOps practices, and own observability, reliability, resiliency, and operational readiness. Collaborate with software, hardware, and systems engineers to deliver scalable, secure end-to-end capabilities and shape platform architecture.

Design, build, and operate secure Azure cloud infrastructure and backend services for distributed radar systems. Develop low-latency services that ingest and process real-time sensor data, automate deployments with infrastructure as code, and maintain observability, resiliency, security, and operational readiness. Shape platform architecture and collaborate with software, hardware, and systems engineers to deliver reliable end-to-end capabilities.

Build Atlas humanoid robot applications across the agentic autonomy stack, including task execution systems, integrations, operator dashboards, configuration UIs, observability, evaluations, and diagnostic tools. Collaborate with ML, robotics, controls, perception, and product teams to deliver reliable end-to-end capabilities. The role requires full stack development using frontend frameworks, backend technologies, databases, APIs, and distributed systems, with an emphasis on agentic AI, robotics, testing, documentation, and system design.

Build and deploy customer-facing software prototypes and capabilities in collaboration with end users, product managers, and designers. Diagnose customer pain points, develop features end to end, iterate rapidly based on feedback, and write clean, testable, maintainable code. The role requires independent work, frequent customer-site engagement, and up to 50% travel.

Design, develop, integrate, and maintain enterprise full-stack applications, APIs, microservices, SaaS integrations, and batch-processing solutions. Provide technical leadership for architecture, security, performance, testing, continuous delivery, and cloud deployments. Mentor developers, coordinate across technology and business teams, support vendor-managed solutions, and contribute to agile projects using Java, modern front-end frameworks, Kubernetes, OpenShift, AWS, and related technologies.

Build and maintain TypeScript and Node.js microservices for Kong’s billing platform. Responsibilities include subscription management, entitlement provisioning, usage metering, payment and CRM integrations, event-driven workflows, and distributed systems reliability. The role involves database design, testing, monitoring, code reviews, on-call support, and collaboration with engineering, finance, and revenue operations teams.

Design, develop, test, deploy, and maintain reliable software applications and backend services across Corpay’s payments ecosystem. Build reusable APIs, contribute to automated testing and CI/CD pipelines, collaborate within agile teams, review code, support less experienced engineers, evaluate technical solutions, and contribute to cloud platform engineering or agentic AI initiatives.

Develop and maintain large-scale cloud software and distributed systems across the full SDLC. Design full-stack services, graph data models, NoSQL architectures, microservices, analytics capabilities, and CI/CD pipelines. Integrate graph databases with relational and search technologies, implement testing and deployment, optimize performance, and produce technical documentation. Collaborate with data scientists, engineers, and product managers on mission-critical national security applications.

Software engineering intern developing front-end applications and back-end microservices in an agile environment. Responsibilities include designing component architecture, solving technical problems, improving UI/UX, using modern web technologies and open-source tools, and supporting mission-critical systems. The role requires on-site work in Denver or Sterling and eligibility to obtain and maintain TS/SCI clearance with polygraph.

Join as a founding software engineer to build core product and infrastructure, collaborate with the founding team, and help shape technical direction. Role is in-person in San Francisco; compensation includes competitive salary and equity. Submit resume to the provided email.

Leads architecture and development of scalable cloud-native, web, and connected software products primarily on Azure. Designs backend services, APIs, cloud infrastructure, and web interfaces while modernizing legacy applications. Provides technical leadership in Agile teams, drives DevOps, CI/CD, testing, observability, security, and performance practices, and mentors engineers. Partners with stakeholders, architects, program managers, and customers to define technical strategy, deliver connected data-driven systems, and align engineering decisions with business outcomes.

Senior Software Engineering IC3 role at Microsoft. The provided description includes compensation details, benefits eligibility, ongoing application acceptance, and equal employment opportunity information, but does not specify particular technical responsibilities, technologies, or qualification requirements.

Leads the design, development, and maintenance of scalable backend services and distributed systems for GM Commercial Software. Builds customer-facing capabilities, improves code quality and engineering efficiency, contributes to architecture discussions, collaborates across product and engineering teams, explores new technologies, and mentors early-career engineers.

Design, develop, deploy, and operate scalable cloud-based data, analytics, automation, and tooling solutions. Integrate Azure AI and machine-learning capabilities, implement monitoring and telemetry, analyze usage data, and deliver customer-focused experiences. Collaborate with product managers and engineers, provide technical feedback, and own solutions throughout design, implementation, and operations.

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.

Build and operate DeepFrame’s GPU-powered video intelligence platform, including model serving, video ingestion, indexing, search, APIs, customer connectors, and enterprise deployments across AWS, single-tenant, and on-prem environments. Own reliability, observability, performance, and infrastructure costs while collaborating with Tokyo engineering and joining customer technical meetings. Serve as the technical owner for initial US pilots and deliver customer-driven product improvements.

Designs and implements Go-based control-plane software for custom AI inference hardware. Responsibilities span system management APIs, Linux services, hardware interfaces, diagnostics, observability, security, firmware updates, distributed systems, and workload management. The role requires hands-on debugging across application, operating system, firmware, and hardware boundaries, plus technical leadership, mentoring, architecture, and production ownership. Regular on-site lab work includes server racking, system bring-up, hardware troubleshooting, and documentation.