Specter Ai · 3 months ago
Software Engineer - Cloud Infrastructure
San Francisco
Full-time
Onsite
Mid LevelSpecter is creating a software-defined control plane for the physical world, focusing on protecting American businesses through a connected hardware-software ecosystem. The role involves designing, deploying, and scaling distributed systems that power the company's sensing and perception platform across edge devices and cloud infrastructure.
Responsibilities
Architecting and operating distributed, Linux-based systems across edge and cloud environments
Designing scalable pipelines for streaming, storing, and processing vast amounts of video and sensor data
Building containerized services (Docker/Kubernetes) to deploy perception and inference workloads at scale
Developing observability systems for monitoring, logging, and alerting across a fleet of edge nodes and cloud infrastructure
Optimizing queue-based video ingestion, transcoding, and upload pipelines for reliability under bandwidth-constrained environments
Implementing highly-available infrastructure for real-time alerting, APIs, and customer-facing event systems
Working cross-functionally with hardware, perception, and application teams to ensure infrastructure supports rapid iteration and scale
Qualification
Required
Architecting and operating distributed, Linux-based systems across edge and cloud environments
Designing scalable pipelines for streaming, storing, and processing vast amounts of video and sensor data
Building containerized services (Docker/Kubernetes) to deploy perception and inference workloads at scale
Developing observability systems for monitoring, logging, and alerting across a fleet of edge nodes and cloud infrastructure
Optimizing queue-based video ingestion, transcoding, and upload pipelines for reliability under bandwidth-constrained environments
Implementing highly-available infrastructure for real-time alerting, APIs, and customer-facing event systems
Working cross-functionally with hardware, perception, and application teams to ensure infrastructure supports rapid iteration and scale
Preferred
Deep experience with databases, storage, and caching technologies (PostgreSQL, Redis, object stores like S3, and distributed file systems)
Expertise building and maintaining real-time streaming and event systems (WebRTC, Websockets, Kafka, or similar)
Strong experience designing and securing cloud infrastructure using AWS (preferred), GCP, or Azure
Hands-on experience with infrastructure-as-code tools (Terraform, Ansible) and container orchestration (Kubernetes)
Strong knowledge of distributed systems principles — replication, consensus, partition tolerance, fault recovery
Familiarity with video pipelines, transcoding, and formats is a plus
Prior experience scaling edge-to-cloud systems or operating at the infra layer of robotics and IoT a bonus
Company
Specter Ai
Revolutionising the legal industry
2-10 employeesFunding
Current Stage
Early StageCompany data provided by crunchbase