Top Software Engineer Jobs

Develop scalable infrastructure, simulation, evaluation, and analysis systems that accelerate onboard software development. Responsibilities include optimizing CPU, GPU, TPU, memory, and latency usage in cloud datacenters; evolving autonomous driving simulation architecture; resolving performance bottlenecks; and building evaluation, debugging, and software change-management processes.

Build full-stack AI products for mechanical and electrical engineering workflows. Own projects from customer discovery and prototyping through production, developing frontend interfaces, backend services, APIs, plugins, and integrations with engineering software. Work directly with customers and cross-functional teams to translate engineering needs into reliable products, evaluate quality, and establish technical foundations for a new product area.

Build and scale a multi-tenant B2B SaaS product for metal recycling operations. Own data modeling, APIs, UI, UX, deployment, integrations, dashboards, and agentic data features end to end. Collaborate with operators, plant managers, the CTO, and product teams to design workflows, integrate ERP and plant data, and deliver reliable software used on the plant floor. The role is remote within the US with occasional customer-site and company travel.

Lead frontend feature releases and own user experience, performance, testing, and production health for a React and TypeScript dental practice management platform. Collaborate with backend engineers using Java Spring Boot, develop AI-powered interfaces, integrate AI tools such as Claude, participate in code reviews, improve team efficiency, and estimate development work for timely delivery.

Own the frontend technical roadmap and architecture for Archy’s dental practice management SaaS. Lead major feature releases, optimize React and TypeScript performance, integrate AI-powered interfaces, and oversee frontend-backend integration with Java Spring Boot. Establish testing, stability, monitoring, and production release practices while leading code reviews, planning development efforts, and improving team efficiency.

Leads hands-on Java and Spring Boot engineering for alternative investment platforms. Designs, develops, tests, and operates secure cloud-native services on AWS, modernizes on-premises applications, and builds resilient messaging and event-streaming integrations. Provides technical guidance, reviews code, governs AI-assisted engineering practices, and establishes standards for secure, reliable, and observable software delivery.

Develops secure, scalable software solutions using Java, Python, AWS, Terraform, and Kafka. Designs complex applications, creates architecture artifacts, delivers end-to-end systems, and ensures testing and operational stability. Leads responsible adoption of AI-assisted development tools, validates AI outputs, improves automation and CI/CD practices, and analyzes data to enhance code quality and system architecture. Collaborates within agile teams supporting corporate technology functions.

Develops secure, scalable software and data solutions using Python, PySpark, AWS, and Databricks. Designs applications, writes production code, troubleshoots systems, creates architecture artifacts, and analyzes large datasets. Builds and optimizes Spark clusters, validates data quality with SQL, deploys machine learning models, and applies responsible AI-assisted development practices. Collaborates within agile teams to improve application resiliency, security, automation, and operational stability.

Designs, develops, tests, deploys, and maintains secure enterprise applications for Internal Audit. Builds Java and Python microservices, REST APIs, React interfaces, CI/CD pipelines, and cloud-native services using Docker, ECS, Kubernetes, and AWS. Participates in code reviews, Scrum ceremonies, operational support, monitoring, incident resolution, and root-cause analysis. Applies responsible AI-assisted development practices and may integrate LLM-based capabilities or AI agent workflows.

Develops secure, maintainable C#/.NET software and cloud-native AWS services for healthcare payment workflows. Responsibilities include system design, application development, testing, troubleshooting, SDLC execution, observability, resiliency, scalability, and operational stability. The engineer also integrates AI/ML and GenAI capabilities for automation, fraud detection, and data-driven decisions, while validating AI-assisted coding outputs through testing, peer review, and secure engineering practices.

Develops secure, scalable, high-quality .NET/C# applications for healthcare payments. Responsibilities include software design, coding, testing, troubleshooting, architecture documentation, SQL optimization, data analysis, application resiliency, security, and agile delivery. The role also uses and evaluates enterprise AI-assisted development tools, supports automation, and guides peers on responsible AI practices. Familiarity with JavaScript, React, and cloud platforms is preferred.

Designs, develops, tests, and maintains scalable, secure systems using Java or Python; applies enterprise AI-assisted coding tools; contributes to architecture, data-driven improvements, CI/CD, and resilient production delivery within agile teams.

Develop and maintain embedded Linux platform software and Yocto-based distributions for varied hardware targets. Build CI/CD pipelines with security and functionality automation, support secure networking, secure boot, OS updates, and Docker-based applications. Integrate NVIDIA drivers and GPU software stacks, collaborate with product teams on platform capabilities, and document software for regulatory approval. Serve as an operating system platform subject matter expert and mentor junior team members.

Develops and maintains Salesforce CRM solutions using Apex, Lightning, LWC, APIs, integrations, and enterprise development practices. Designs secure, scalable software, troubleshoots technical issues, creates architecture artifacts, and improves data quality through reports and dashboards. Collaborates within an agile team, applies CI/CD and resiliency standards, and uses AI-assisted tools for coding, testing, documentation, and productivity while validating outputs for security and correctness.

Develops and maintains secure, scalable Python and AWS applications within an Applied AI/ML engineering team. Responsibilities include system design, architecture, testing, troubleshooting, code reviews, agile planning, MLOps integration, reliability collaboration with SRE teams, and analyzing data to improve application quality and system architecture. The role also requires responsible use of AI-assisted development tools and collaboration with data scientists.

Design, develop, test, and maintain scalable, secure systems using Java or Python. Contribute to architecture, SDLC practices, CI/CD, automated testing, and data-driven improvements. Use enterprise-authorized AI-assisted development tools responsibly, validate outputs, and support cross-team collaboration and inclusion.

Designs, develops, debugs, and delivers secure, production-grade full‑stack Java/Spring Boot and React applications. Leads technical evaluations, drives automation and CI/CD, improves application resiliency and operational stability, and promotes best practices across engineering teams.

Designs, develops, debugs, and maintains secure, scalable software components as part of an agile team. Writes high-quality code (Scala/Java/Python), applies SDLC tooling and CI/CD, works with big-data and AWS services, and drives adoption of enterprise-authorized AI-assisted engineering practices while ensuring resiliency, security, and operational stability.

Develops secure, scalable full-stack applications for Asset Management. Responsibilities include software design, coding, testing, troubleshooting, architecture, data analysis, visualization, and operational stability. Uses enterprise-authorized AI coding tools responsibly to improve development productivity while validating outputs for security and correctness. Builds services with Hibernate, Spring JPA, PostgreSQL, REST APIs, and GraphQL, with preferred experience in Kafka, Avro, React, and AWS.

Build and maintain Java and Kotlin JVM microservices for fixed-income portfolio management, analytics, reporting, trade sizing, exposure monitoring, order management, scenario analysis, compliance checks, and order submission. Design resilient REST APIs, relational database schemas, SQL queries, and migrations. Contribute to architecture, testing, operational stability, data analysis, secure AI-assisted development, CI/CD, and agile engineering practices.

Develops and troubleshoots secure, scalable full-stack software for JPMorganChase Asset & Wealth Management. Responsibilities include writing high-quality code, designing user-centered interfaces, analyzing data, testing, automation, system integration, technical troubleshooting, and supporting application resiliency throughout the software development lifecycle. The role also uses and validates AI-assisted development tools within agile engineering workflows.

Develops secure, scalable full-stack software solutions within an agile team. Responsibilities include designing applications, writing and troubleshooting production code, creating architecture artifacts, analyzing data for system improvements, and maintaining operational resiliency. The role requires Java, React, and Spring experience, software development lifecycle knowledge, testing, application security, CI/CD, and responsible use of AI-assisted development tools.

Build and improve scalable backend systems, including REST APIs, microservices, data processing, and distributed task systems. Develop secure, maintainable code; contribute to product and engineering improvements; practice test-driven development; debug production issues; participate in on-call rotations; and apply security and data-protection best practices.

Build secure, scalable frontend interfaces for Deploy’s data and enterprise products using React and JavaScript. Collaborate with design, product, and engineering teams to deliver user-focused features, participate in product decisions, improve team efficiency, and apply OWASP practices to protect information assets. The role requires strong web technologies knowledge, UX sensibility, maintainable coding practices, and effective communication in a fast-paced AI startup environment.

Develop and maintain backend systems and full-stack software using PHP and Node.js, including containerized microservices on AWS Kubernetes. Responsibilities include system design, coding, testing, code reviews, troubleshooting, deployments, production support, and technical guidance. The engineer collaborates with product owners, project managers, DevOps, QA, and data engineering teams throughout the software development lifecycle, emphasizing reliability, performance, maintainability, and automated testing.