Senior Software Engineer: Deployments
Own customer deployments, develop workflow-specific features, and operate cloud and on-premises infrastructure for an AI platform serving semiconductor and electronics companies. The role requires 5+ years in backend, full-stack, or infrastructure/DevOps engineering, strong systems skills, and willingness to travel.
About the job
Responsibilities
- Own customer deployments at offices across the San Francisco Bay Area, Cupertino, and Santa Clara.
- Develop features specific to customer workflows and port features from the cloud product to on-premises environments inside highly restricted infrastructure.
- Manage cloud deployments across AWS, Azure, Google Cloud, and OpenShift, including setup, maintenance, and debugging.
- Learn how hardware is designed and developed at a high level.
- Travel, mostly in California.
Requirements
- 5+ years of professional experience in backend engineering, full-stack development, or infrastructure/DevOps; internships and teaching assistantships do not count.
- Familiarity with agent development and retrieval-augmented generation (RAG).
- Strong systems design and debugging skills.
- Comfort with the Docker ecosystem, cloud infrastructure, and infrastructure-as-code tools.
- Willingness to travel.
Nice-to-Haves
- On-premises deployment experience in enterprise or air-gapped environments.
- Field engineering, solutions engineering, or other customer-facing technical experience.
- Experience in EDA, semiconductor, or hardware-adjacent software environments.
Skills
Backend Engineering, Full-Stack Development, DevOps, AWS, Azure, GCP, Openshift, Docker, Infrastructure As Code, Agent Development, RAG, System Design, Debugging, On-Premises Deployment, Eda
Similar jobs
Solutions Architecture jobs
Temporal
United States
Customer-facing technical leader who guides enterprise prospects and customers through architecture, technical evaluation, and production adoption of Temporal. The role partners with sales teams, builds prototypes, advises on distributed systems and cloud infrastructure, and requires residence in the U.S. Pacific time zone.
Temporal
Dallas, TX
This customer-facing technical leader guides enterprise prospects and customers through Temporal evaluations, architecture, implementation, and production adoption. The role requires strong distributed-systems expertise, prototyping ability, cloud experience, and strategic partnership with sales teams.
Databricks
San Francisco, CA
Leads technical strategy and architecture for digital-native healthtech customers, driving Databricks adoption from discovery through production. Requires 6+ years of solutions architecture or related experience, strong Python and SQL skills, distributed data systems expertise, and public-cloud deployment experience.
Webflow
San Francisco, CA
Senior Forward Deployed Engineer designing and delivering production-grade agentic workflows, integrations, and safeguards for enterprise web operations. Requires 4–6 years of customer-facing technical experience plus expertise in AI, APIs, automation, front-end development, and integration architecture.
Shield AI
Dallas, TX
Leads Oracle Cloud Supply Chain implementation across key modules, then transitions to Oracle system administration and material planning. The role requires ERP implementation experience, supply chain operations knowledge, and the ability to translate business requirements into system configurations.