Top Software Engineer Jobs

Ensure IT solutions meet technical and security requirements; perform software development, system integration, troubleshooting, and performance improvements. Work independently across areas, lead major technical assignments, and supervise teams.

Lead design and implementation of core platform infrastructure for an Agentic AI platform. Build high-performance Rust systems, support production deployments, collaborate with ML engineers, design scalable data architectures, troubleshoot performance and scalability issues, and cultivate a collaborative, inclusive engineering culture.

Design and build scalable backend services, data systems, pipelines, cloud infrastructure, and AI-enabled features for an enterprise SaaS platform. Lead technical projects, improve reliability and security, automate engineering workflows, and collaborate with product, design, and data teams. The role requires hands-on ownership in a fast-moving startup environment, with a focus on distributed systems, architecture, performance, compliance, and operational excellence.

The VP of Engineering will set technical strategy, lead the applied AI roadmap, build and scale the engineering organization, architect core and deployment platforms, and personally ship production code. The role requires experience building complex software from zero to one, leading high-performance engineering teams, and delivering enterprise-grade LLM systems. Familiarity with large-scale industrial systems and customers is preferred.

Build and operate Helios’s acquisition and document-processing infrastructure, including web crawlers, connectors, fault-tolerant pipelines, multilingual document and media processing, OCR, extraction, enrichment, provenance, replay, and backfills. Scale secure CPU/GPU inference systems across cloud and restricted environments. Develop real-time multilingual audio intelligence pipelines with transcription, speaker attribution, timestamp alignment, and tone analysis while maintaining reliability, observability, cost efficiency, and data quality.

Looking for senior engineering leaders with ownership experience in high growth startup or tech companies for multiple portfolio companies.

Build and deploy production AI-powered systems for biopharma customers, translating ambiguous clinical and financial workflows into core platform capabilities. Develop Django services and APIs, AWS Bedrock agent workflows, data integrations, monitoring, feedback loops, and customer-facing interfaces. Own deployments end to end, contribute production code through the core codebase, identify reusable patterns, and influence product architecture and roadmap. Occasional travel to customer locations is required.

Staff Backend Engineer responsible for architecting and building scalable Python backend infrastructure, APIs, data models, document ingestion pipelines, event-driven processing systems, and AI extraction integrations. The role sets technical direction, makes architectural decisions, collaborates with customers on product development, establishes engineering best practices, and mentors backend engineers while helping build a high-performing team.

Leads and coaches a software engineering team, supports career development, participates in hiring, removes delivery roadblocks, and shapes technical direction. The manager ensures reliable, high-performing systems while driving daily adoption of agentic AI tools and collaborating with Product and Business Technology stakeholders. The role requires a strong full-stack engineering background, architectural expertise, experience delivering quality software, and demonstrated success leading AI adoption.

Leads embedded software and cryptographic engineering teams developing secure, low-SWaP satellite avionics and payload-processing systems. Oversees software architecture, requirements, implementation, integration, verification, release activities, and development processes for Linux and RTOS products. Manages hiring, mentoring, technical direction, cross-functional collaboration, cybersecurity, reliability, automation, testing, and compliance across aerospace engineering programs.