Top Software Engineer Jobs

Architect and implement a cross-platform design product across client apps, cloud services, and device connectivity. Champion AI-native engineering practices, drive end-to-end architecture and ADRs, ensure security/reliability/observability, own delivery and release health, and mentor engineering leaders while partnering cross-functionally across product, design, firmware, and security.

The Technical Lead will design, build, and modernize IVR and Voice Bot platforms, providing technical ownership and leadership in a hands-on role within the Contact Center Technology department.

The role involves collaborating on AI GPU deployment, optimizing performance, mentoring engineers, and improving user experience on NVIDIA RTX platforms.

The Technical Lead will oversee software architecture, mentoring teams and leading the design and implementation of AI-augmented enterprise software solutions.

The role involves leading large-scale projects, driving application development, providing architectural guidance, mentoring teams, and ensuring compliance with standards in AI and technology.

Lead design and implementation of cloud-native, AI-native, event-driven platforms for fraud and risk. Define architecture, enforce standards, mentor engineers, design low-latency RESTful services, integrate AI/ML features, and ensure scalability, resilience, security, observability, and cost optimization across teams.

The Principal Software Engineer will lead the design and build-out of an AI Context Layer, ensuring high-quality data for AI systems, while managing access control and developer interfaces, and leading cross-team projects.

As a Staff Software Engineer, you will design, build, and operate the Agentic Data Plane (ADP) and cloud services across major cloud providers while leading system architecture and ensuring system reliability and scalability.

As a Software Engineer in Frontier AI Infrastructure, you'll design secure systems for the public sector, improve engineering standards, and collaborate with cross-functional teams to meet government requirements. You'll also participate in customer engagements and contribute to the product strategy while ensuring compliance with federal regulations.

Designs, develops, tests, and maintains complex multi-technology applications. Gathers requirements, leads change requests, performs design and code reviews, mentors teammates, coordinates on-call support, evaluates vendors, and proposes technical solutions and enhancements.

Senior engineer responsible for end-to-end application and system development, technical design and code reviews, requirements gathering, change request ownership, testing and deployment, on-call coordination, mentoring, and leading small-to-medium projects across multi-technology platforms.

In this role, you will build high-performance AI orchestration engines, scale context engineering infrastructure, productionize AI workflows, and optimize system performance with a focus on complex backend infrastructure for enterprise AI systems.

As a Staff Software Engineer, you'll design and deliver a core data platform, focusing on architecture, pipeline components, and AI integration. This hands-on role emphasizes creating production code and establishing technical standards within a small team.

Design, build, and maintain scalable enterprise full-stack applications using Java, Spring Boot, microservices, and modern front-end frameworks. Implement cloud-based solutions on AWS, contribute to CI/CD and DevOps automation, optimize performance and security, and integrate AI-driven capabilities using Python and orchestration tools like LangChain and LangGraph.

You will build agentic AI products across web, backend, and iOS, owning features end-to-end and mentoring junior teammates.

Three-month, full-time internship focused on building and supporting AI-powered applications, workflow automations, and client-facing tools. Work includes frontend/backend development basics, integrations with APIs, learning new tools, and collaborating with a mentor and team. Potential to convert to full-time based on employer demand.

The HPC & AI Performance Engineer will execute benchmarking projects, analyze performance, and optimize HPC systems using scientific software and methods.

Lead design and rewrite of cloud-native core systems. Build scalable back-end services and front-end features, drive architecture and testing discussions, mentor engineers, and improve telemetry, performance, and reliability.

Build, operate, and scale cloud-native backend services and APIs for a high-volume vehicle marketplace. Embed AI-driven capabilities into features, use AI tools to accelerate development, participate in on-call rotations, improve reliability, and collaborate with Product, Data, Infrastructure, and SRE teams to deliver production-ready systems.

Lead backend development and architecture in Laravel/PHP while embedding AI as a core system layer. Build AI agents, prompt pipelines, vector search, and automated workflows integrating third-party services. Optimize APIs, databases, and scalable, secure systems. Mentor engineers and collaborate with product and data teams to deliver reliable AI-powered features.

The Advisor Lab Automation Software Engineer will design and implement software integrations for lab automation, focusing on AI-driven processes, while providing technical leadership and mentoring.

As a Software Engineer at Paces, you will build AI automation solutions to expedite power development, working closely with industry experts and taking ownership of projects to enhance scalability and features.

Lead development and commercialization of Cloud Data solutions: design cloud data architectures, lead migrations and ETL/ELT, operationalize AI across clouds, support strategic sales pursuits, enable and train solution architects, secure partner co-investment, and provide steering‑committee oversight to mitigate delivery risk and drive practice growth.

Early-career full stack internship developing frontend and backend features under senior guidance. Integrate AI coding tools into workflows, translate product requirements to implementations, contribute across the product lifecycle, and suggest cross-team process improvements while learning full-stack practices.

Design, build, test and support batch and streaming data pipelines and curated datasets on a lakehouse/AI data platform. Work across ingestion, transformation, modeling, optimization, data quality and reconciliation; improve platform tooling and standards; collaborate with stakeholders and lead delivery and technical design for workstreams.