Join a team building the cloud infrastructure and data platform behind a large-scale computer vision product. You will own reliable, secure systems for ingesting, storing, and retrieving large volumes of data.
Responsibilities
Design, build, and operate data pipelines and infrastructure for high-volume ingestion, storage, indexing, and retrieval.
Make architecture decisions across storage tiers, distributed databases, vector stores, and messaging or streaming systems.
Deploy and scale containerized services across environments using orchestration platforms and GitOps workflows.
Build and maintain CI/CD pipelines, infrastructure as code, and developer tooling for safe, frequent releases.
Support secure, auditable, reliable operations in regulated or federal environments.
Troubleshoot and tune systems across application code, storage, and networking, and mentor engineers through reviews and pairing.
Requirements
5 to 10 years of experience, including at least 5 years building and maintaining production software systems.
Hands-on experience with AWS production workloads, distributed systems, and large-scale data storage and retrieval, including hot and cold storage.
A solid DevOps foundation, including CI/CD, infrastructure as code, observability, and automated deployments.
Experience with backend or distributed systems in addition to any front-end work, and ownership of systems from design through deployment and on-call operations.
Experience building production data pipelines and operating containerized services with Docker and Kubernetes.
Relevant tools and technologies include Terraform, GitOps, ArgoCD, Helm, Python, Go, PostgreSQL, vector databases, object storage, Kafka, and distributed SQL databases.
Experience in FedRAMP or another federal or regulated environment is valued.
Must be authorized to work in the United States without visa sponsorship.
Conditions
Base salary: $175,000 to $220,000 annually. Visa sponsorship is not available.