Top Software Engineer Jobs

Lead architecture, bring-up, validation, optimization, and deployment of networking infrastructure for large-scale AI training and inference. Define networking requirements, design Layer 3/4 and RDMA/AI fabric solutions, develop validation and observability tooling, perform packet-level debugging and root-cause analysis, and collaborate across silicon, firmware, software, and Azure teams to ensure performance, scalability, and reliability of hyperscale AI clusters.

Customer-facing cloud solution architect for Azure data platforms and AI readiness. Lead architecture design, proofs-of-concept, and production deployments focused on performance, resiliency, security, and measurable business value using Microsoft Fabric, Azure Databricks, Cosmos DB, and Purview.

Design, develop, and deploy web and cloud applications using .NET, C#, Azure, Angular, React, and related technologies. Collaborate with clients to gather requirements, define goals, and recommend solutions. Participate in Agile/Scrum planning, code reviews, mentoring, testing, and DevOps practices. Explore AI-assisted development tools and help establish effective AI workflows. The role involves continuous learning, client engagement, and delivery of enterprise software and AI automation solutions.

Build and operate end-to-end full-stack applications for transaction monitoring and data controls. Develop responsive UI components, Java Spring Boot microservices, REST APIs, event-driven Kafka and Spark pipelines, and cloud-native GCP solutions. Contribute to LLM, Agentic AI, and RAG automation initiatives while ensuring scalability, resilience, observability, security, and performance. Collaborate with cloud, security, data, risk, and compliance teams across globally distributed environments.

As an AI Applications Engineer, you will bridge AI research and implementation, driving experiments, building infrastructure, and releasing products to improve user experience and metrics.

Design, develop, and maintain full-stack applications; lead technical discussions, mentor junior members, and improve products and technologies.

The role involves designing and developing high-performance web apps, improving user interfaces, maintaining component libraries, and ensuring code quality through comprehensive testing and collaboration with other teams.

The Principal Architect for Netsmart leads the architecture for platforms and products, promoting AI-driven innovation and collaborating across teams to deliver scalable solutions.

Software engineering intern who designs, develops, tests, maintains, and troubleshoots applications, APIs, integrations, services, and data solutions. Uses AI-assisted tools for implementation, testing, documentation, debugging, and refactoring while critically validating generated code. Participates in Agile ceremonies, source control, pull requests, peer reviews, CI/CD, and cross-functional collaboration with product, design, QA, and engineering teams.

Serve as the technical lead for Trade Finance software solutions, directing architecture, application development, integrations, data platforms, cloud infrastructure, security, and modernization. Translate business requirements into technical designs, guide engineering teams, establish development standards, oversee software quality and production support, and evaluate emerging technologies. The role also defines AI strategy, governance, and transformation initiatives while collaborating with product, operations, compliance, vendors, and other stakeholders.

Lead technical design and hands-on execution for complex products and systems. Design scalable architectures, write and review code, solve production issues, make technical trade-offs, mentor engineers, improve engineering practices, and drive initiatives from problem definition through production. Collaborate with product, design, and AI teams while owning system reliability, security, testing, observability, and continuous improvement in a distributed global environment.

Lead a distributed engineering team building and scaling customer-facing products. Own delivery, architecture, reliability, technical quality, production outcomes, engineering standards, and team development. Collaborate across product, design, mobile, backend, and AI teams to turn ambiguous problems into shipped solutions. Coach engineers, manage performance, improve processes and automation, resolve incidents, and build a high-performing culture focused on ownership, speed, and technical excellence.

Lead and manage a distributed engineering team building scalable financial products. Own technical architecture, delivery, reliability, production outcomes, engineering standards, and cross-functional execution. Coach engineers, manage performance, improve processes and automation, resolve incidents, and maintain a high bar for technical quality and customer impact. The role requires hands-on technical leadership across frontend, backend, APIs, databases, distributed systems, cloud infrastructure, and AI collaboration.

Lead technical design and execution for complex products and engineering initiatives. Build scalable systems across backend, frontend, APIs, databases, and infrastructure while remaining hands-on with coding, reviews, debugging, and production support. Set standards for architecture, reliability, security, testing, and observability; mentor engineers; identify technical risks; improve tooling and automation; and collaborate with product, design, and AI teams to ship high-quality products.

Lead a distributed engineering team across frontend, backend, and full-stack development. Own architecture, delivery, reliability, production outcomes, engineering standards, and technical quality for major product areas. Partner with product, design, mobile, backend, and AI teams to turn ambiguous problems into shipped products. Coach engineers, manage performance, improve processes and automation, resolve incidents, and build a high-performing engineering culture focused on ownership and measurable customer outcomes.

Lead technical design and execution for complex products and engineering initiatives. Build scalable systems, write and review code, make architecture decisions, debug production issues, improve reliability, mentor engineers, and collaborate with product, design, and AI teams. The role requires end-to-end ownership from ambiguous problem definition through production, with strong product judgment and hands-on technical leadership.

Lead a distributed engineering team across frontend, backend, and full-stack development. Own architecture, delivery, reliability, technical standards, production outcomes, and engineering processes for products serving millions of users. Partner with product, design, mobile, backend, and AI teams to turn ambiguous problems into shipped solutions. Coach engineers, manage performance, raise technical standards, and drive a culture of ownership, speed, and continuous improvement.

Lead a distributed engineering team building and scaling customer-facing products. Own technical architecture, delivery, reliability, engineering standards, production outcomes, and continuous improvement across frontend, backend, APIs, databases, infrastructure, and AI integrations. Coach engineers, manage performance, resolve incidents, make technical trade-offs, and connect engineering execution to customer and business outcomes in a fast-moving global environment.

Lead development and adoption of an AI engineering platform (SigniFi) for Finance Technology. Drive AI-enabled SDLC transformation across SAP S/4HANA, SAP BTP, and enterprise apps, build AI agents for design, code generation, testing and QA, set engineering standards and AI governance, mentor global teams, and partner with stakeholders to deliver scalable, secure AI solutions that improve delivery speed, quality, and productivity.

Modernize enterprise Java applications and build secure, scalable cloud solutions across AWS and GCP. Lead infrastructure standards, Infrastructure as Code, CI/CD, observability, deployment automation, and production readiness. Develop GenAI and agentic AI solutions using Vertex AI and Google ADK, including development agents, test agents, and workflow automation. Partner with business, architecture, security, and engineering stakeholders, while mentoring engineers and advancing reusable enterprise engineering practices.

Develop backend systems for 3D AutoReview, including geometry parsing, model analysis, quality detection, rule systems, scalable APIs, and AI-assisted review workflows. Collaborate with backend, frontend, product, and machine learning teams to deliver production features. Build extensible systems for custom 3D rules and reference data while experimenting with CAD, machine learning, and large language model technologies.

The Azure AI Applications Engineer will lead the development and implementation of intelligent applications using Azure AI services, while architecting solutions, mentoring junior engineers, and collaborating on project delivery across multiple sectors.

Build and maintain end-to-end mobile trading systems for iOS and Android. Ship production-quality, well-tested code, apply blockchain and crypto knowledge, and integrate AI tools to improve engineering workflows. Break down projects, collaborate cross-functionally, conduct and act on code reviews, mentor teammates, and participate in hiring and onboarding. Influence product decisions through data-driven insights and provide domain expertise for mobile trading initiatives.

The role involves developing scalable backend systems in Go and other languages, building high-volume analytics, and designing APIs for ML workflows.

As a Senior AI Product Engineer, you will build scalable services and front-end applications, design APIs, and enhance AI product offerings, focusing on improving user experience and collaboration with engineering teams.