Top Software Engineer Jobs

Own the architecture and stability of a shared core 3D CAD engine supporting multiple customer-specific products. Translate product requirements into scalable architecture, guide agentic software development, review AI-generated work, and lead customer-facing product engineering and enhancements. Collaborate across human and agent teams while maintaining mission-critical capabilities and supporting agentically generated designs.

Build and operate production-grade Python backend services, APIs, distributed systems, data pipelines, and agentic workflows for an AI observability platform. Own ambiguous projects from prototyping through architecture, testing, deployment, and ongoing operation. Collaborate with product, machine learning, and infrastructure teams, while contributing React front ends when needed. The role requires strong backend depth, distributed-systems expertise, cloud experience, and end-to-end product ownership.

Troubleshoot complex customer and internal issues, develop internal SaaS tools, support Product and Engineering teams, manage incidents, monitor alerts, coordinate stakeholders, and participate in an on-call rotation. The role requires programming experience, strong SQL and database skills, observability tooling knowledge, API and SDK familiarity, device administration experience, and excellent communication.

Lead the design, development, and support of large-scale Java enterprise applications and cloud-native platforms. Architect microservices, REST APIs, event-driven services, and distributed systems; implement CI/CD, DevSecOps, automated testing, security, monitoring, and observability practices. Provide technical leadership and mentorship, support mission-critical production systems, lead incident resolution, and improve reliability and performance across global, regulated-data environments. Preferred experience includes AI/LLM integrations, globally distributed databases, multi-region architectures, and SRE practices.

Lead the IQ Platform engineering team and define the architecture and roadmap for Jasper’s AI context layer. Build scalable knowledge management systems, integrations, and RAG pipelines that improve agent intelligence and reliability. Serve as a player-coach by contributing code, mentoring engineers, partnering with Staff-level technical leaders, and driving major platform initiatives from strategy through delivery.

Build and operate reliability systems for a cardiovascular data platform, including monitoring, SLIs, SLOs, incident response, automation, and observability. Investigate end-to-end failures across devices, connectivity, mobile applications, firmware, and cloud services. Analyze fleet-level reliability using Python, SQL, and BigQuery; automate manual checks; conduct postmortems; and improve telemetry to ensure complete, trustworthy clinical data delivery.

Develop and maintain low-latency backend components for a globally distributed advertising platform. Responsibilities include writing high-performance C++ or Rust code, designing systems, testing, reviewing code, supporting production services, troubleshooting performance issues, and collaborating across teams to deliver projects.

Part-time internship to learn and configure ServiceNow through training and mentorship. Work on real customer projects, write and test scripts, attend meetings and SCRUM, troubleshoot configurations, and pursue certifications.

Diagnose and resolve complex customer issues involving HERE data, APIs, SDKs, and applications. Build AI-powered troubleshooting tools and automation, convert recurring problems into reusable workflows, experiment with Generative AI, and share engineering practices across Technical Support. Requires strong programming, REST API, cloud, distributed systems, troubleshooting, and customer communication skills.

Lead and scale software engineering teams building SaaS platforms. Set technical strategy, ensure best practices (architecture, CI/CD, security), drive delivery and KPIs, partner with Product and cross-functional leaders, and develop engineering talent while introducing AI/data capabilities to improve platform scalability, reliability, and business outcomes.