Top Software Engineer Jobs

Design and build new workflows and features for a web platform used by utilities; own end-to-end feature delivery; scale tooling and CI/CD; collaborate with hardware, ML, and customer teams to deliver reliable, secure, customer-focused UI/UX for work planning, construction, and disaster response.

Develop AI agents for finance workflows, design APIs, enhance engineering practices, ensure data security, and facilitate user collaboration.

Design, build, and operate core distributed infrastructure (KV stores, event streaming, config, auth, feature flags), improve observability and scalability, collaborate with ML/search/product teams, and deliver cross-team, deadline-sensitive backend infrastructure projects.

Design, implement, and operate Argo network software to improve reliability and performance. Work across lifecycle: design, code, tests, deployment, monitoring, and on-call. Collaborate with product, network engineering, and SRE teams; use systems-level programming and networking expertise to build secure, highly-available distributed systems and integrate AI-assisted tools into the engineering workflow.

Leads the design, development, testing, and deployment of scalable Java applications and distributed systems for an indices prototyping platform. Responsibilities include building microservices, using AWS cloud services, implementing containerization, improving performance and reliability, developing user interfaces, fixing defects, maintaining code quality and automation, and mentoring junior engineers.

Designs, develops, tests, maintains, and supports full-stack software products, primarily using .NET and modern web frameworks. The role contributes across the software development lifecycle, troubleshoots production issues, ensures performance and reliability, mentors engineers, and collaborates with product and engineering teams. Responsibilities include applying microservices, event-driven architecture, Agile practices, automated testing, cloud technologies, and governed agentic AI development workflows.

Build and operate full-stack internal web applications and conversational AI bots using React, TypeScript, Node.js, Elasticsearch, Kibana, LLMs, RAG, and vector search. Responsibilities include technical design, development, testing, CI/CD deployment, feature flag management, production operations, and on-call support. The role also involves replacing legacy SaaS tools, integrating Elastic Stack capabilities, and using AI coding assistants to accelerate delivery.

Build and lead full-stack and backend monetization features for Pinterest, from ideation and prototyping through implementation, testing, scaling, and release. Partner with product managers, designers, and engineers to develop reliable consumer-facing experiences, run A/B tests, architect scalable solutions, and contribute product ideas serving millions of users.

Build and maintain high-quality full-stack SaaS applications for third-party risk management. Own loosely defined features from technical design through delivery, develop and optimize REST APIs, create modern web interfaces, write well-tested code, and collaborate with engineers and product owners in a continuous delivery environment.

Lead the design and delivery of large, ambiguous consumer capabilities for Stripe Link. Build full-stack products spanning user interfaces, backend services, APIs, and LLM-powered systems. Define technical strategy, make architectural decisions, lead engineers through complex projects, collaborate across teams, manage risks and dependencies, and ensure reliability, security, accessibility, and operational excellence from concept through launch and iteration.

Lead design and implementation of scalable, low-latency ad experience systems. Mentor engineers, review code/tests, build observability, support on-call rotations, prototype ad formats, and translate product requirements into production-ready microservices.

Design, develop, and maintain complex distributed software systems. Translate product requirements into scalable, secure, modular designs; write well-tested code; lead design and code reviews; guide agile sprint teams; collaborate with stakeholders; and mentor engineers. The role also contributes to technical strategy, resolves delivery impediments, and promotes engineering best practices.

Design, develop, test, maintain, and support software for GE HealthCare MRI scanners. Build microservices and distributed applications in Linux environments, integrate software with physical devices, investigate complex technical issues, and apply strong engineering, testing, security, and quality practices. Collaborate with cross-functional teams in Agile and CI/CD environments, contribute to continuous improvement, mentor engineers, and support reliable solutions in a regulated healthcare setting.

Design and build hyperscale observability infrastructure for metrics, logs, and traces. Develop fault-tolerant, high-throughput distributed services; operate Kubernetes-based production systems; improve self-healing, autoscaling, reliability, and incident response; and collaborate with SREs and platform teams. The role includes architecture reviews, production readiness work, post-incident improvements, open-source contributions, and participation in an on-call rotation.

Develop open source software across computer vision, scientific computing, data analytics, medical computing, and related technical areas. Learn software development practices, platform maintenance, project leadership, and funding strategies while completing a master's degree in Computer Science. This full-time, permanent role is on-site in Clifton Park, New York, and includes tuition coverage for the master's program.

Staff Software Engineer responsible for setting technical direction, architecting scalable distributed systems, shipping high-impact features, and building AI-powered tools for a virtual healthcare platform. The role includes mentoring engineers, partnering with product and clinical leadership, translating user needs into technical solutions, and guiding frontend and backend application development in a fast-paced startup environment.

Leads architecture, development, modernization, migration, and integration of enterprise applications and data platforms. Builds Java and Spring Boot microservices, React interfaces, event-driven pipelines, and cloud-native solutions on Azure, Databricks, and AKS. Modernizes Spark and Hadoop workloads, manages CI/CD, batch processing, messaging, testing, monitoring, and production performance. Provides technical leadership, architectural guidance, and code reviews while collaborating with engineering and business stakeholders on collateral management platforms.

Designs and delivers cloud-based software solutions with strategic customers and Microsoft product teams. Leads requirements definition, architecture, dependency identification, design documentation, and development of maintainable code. Mentors engineers, contributes to open-source assets, coordinates project and release plans, and serves as a designated responsible individual for system reliability, monitoring, on-call support, performance, and operational improvements.

Lead the architecture, development, deployment, and operation of large-scale Azure AI retrieval and knowledge services. Build secure, permission-aware systems; improve scalability, reliability, performance, observability, and cost efficiency; and support AI, search, and cloud infrastructure capabilities. Mentor engineers, lead technical planning, manage incidents and root-cause analysis, collaborate across teams, and drive automation, security, compliance, and engineering excellence.

Design, implement, and ship full‑stack features using Next.js and Django. Own features end‑to‑end, optimize background processing with Celery/Redis, and improve scalability. Collaborate on containerized deployments (Docker, Kubernetes) and CI/CD (GitLab). Provide technical leadership via code reviews, documentation, and architectural decisions.

Manage and mentor software and systems engineers while remaining hands-on with Python, TypeScript, and SQL development. Lead architecture, cloud infrastructure, data pipelines, CI/CD, testing, security, HIPAA compliance, and system reliability. Partner with clinicians, product managers, and security teams to deliver healthcare technology solutions. Oversee technical initiatives, budgets, hiring, team culture, incident response, and engineering processes for a fully remote team.

Supports the development, integration, testing, documentation, and maintenance of military modeling and simulation software under senior guidance. Works with simulation frameworks such as HLA and DIS, develops scenarios and system behaviors, integrates simulations with C4ISR systems, participates in code reviews and quality assurance, and follows version control, configuration management, security, and software development standards.

Develops and implements C++ software solutions, performs requirements analysis, writes and enhances source code, troubleshoots issues using debugging and testing tools, and supports complex projects under supervision. Collaborates within Agile teams and may work with modeling and simulation frameworks, large codebases, and CI/CD technologies. Requires eligibility for a Secret clearance and a STEM bachelor's degree.

Build and maintain native iOS applications for medical ultrasound imaging. Responsibilities include writing modern Swift code, evolving architecture, collaborating with product, design, clinical, hardware, cloud, AI, and imaging teams, developing tested user experiences, integrating device and advanced technologies, and mentoring engineers. The role involves SwiftUI, UIKit, reactive programming, GraphQL, deep learning applications, telemedicine, and complex internal Swift packages.

Build and maintain native Android applications for medical ultrasound imaging. Responsibilities include writing modern Kotlin code, evolving architecture, developing Compose and View-based interfaces, integrating hardware, cloud, AI, and imaging systems, testing software, collaborating with product and clinical teams, solving ambiguous requirements, and mentoring engineers. The role also involves advanced technologies such as deep learning, telemedicine, GraphQL, modular Android architectures, and device integration.