Software Engineer - Backend

Reposted 19 Days Ago
San Francisco, CA, USA
In-Office
Mid level
Artificial Intelligence • Big Data • Information Technology • Software • Analytics
The Role
The software engineer will design, deploy, and scale distributed systems for our sensing platform, focusing on reliability, performance, and cross-functional collaboration with hardware and application teams.
Summary Generated by Built In

Company Background
Specter's mission is to help automate the physical world.

Today, we build video sensors with state-of-the-art AI agents that answer any question, anywhere in their environments. Our systems can automatically detect and reason about any physical activity captured on camera, from security incidents (e.g. perimeter intrusion, theft, LPR), to safety monitoring (e.g. PPE detection, injured people), to operational efficiency (e.g. material tracking, congestion monitoring). We offer both long range wireless (1km range) and wired sensor variants to suit any deployment.

Our co-founders Xerxes and Philip are passionate about empowering our partners in the fast approaching world of physical AI and robotics. We are a small, fast growing team who hail from Anduril, Tesla, Uber, and the U.S. Special Forces.


The Role
Specter is hiring a backend engineer to design and scale the distributed systems that power our cloud-based perception platform. You'll build the services, data pipelines, and infrastructure that ingest, process, and serve real-time video, sensor, and computer vision data at scale. This role sits at the foundation of Specter's product stack—owning the reliability, performance, and scalability of the backend systems that everything else is built on.


Responsibilities:

  • Architect and implement scalable backend services and data pipelines for high-throughput, real-time streams of video, sensor, and detection data.

  • Design and optimize distributed storage and compute systems for low-latency data access and high availability.

  • Develop and maintain infrastructure-as-code using Terraform to manage cloud resources in AWS.

  • Build and operate Kubernetes-based deployments with a focus on reliability, observability, and efficient resource utilization.

  • Design relational and time-series data models in PostgreSQL, optimizing for ingestion throughput and query performance.

  • Develop event-driven architectures using Kafka, SQS, or similar messaging systems.

  • Collaborate with perception and full-stack teams to define API contracts and data flow designs across real-time and analytical workloads.

  • Own the reliability of core backend systems, including on-call, incident response, and capacity planning.

Qualifications:

  • Strong experience designing and operating distributed systems in production.

  • Deep proficiency in Python, Go, or Node.js with a solid foundation in systems-level thinking.

  • Extensive experience with AWS (EC2, ECS/EKS, S3, RDS, SQS, Lambda, VPC networking).

  • Hands-on experience with Terraform or equivalent infrastructure-as-code tools.

  • Strong PostgreSQL skills—schema design, query optimization, and migration strategies.

  • Experience with containerized deployments (Docker, Kubernetes) and CI/CD automation.

  • Familiarity with event-driven and streaming architectures (Kafka, Kinesis, or equivalent).

  • Solid understanding of networking, security, and identity management in cloud environments.

  • Interest in physical AI, IoT, or large-scale distributed sensing systems.

Skills Required

  • Deep experience with databases, storage, and caching technologies
  • Expertise building and maintaining real-time streaming and event systems
  • Strong experience designing and securing cloud infrastructure using AWS, GCP, or Azure
  • Hands-on experience with infrastructure-as-code tools and container orchestration
  • Strong knowledge of distributed systems principles
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The Company
50 Employees
Year Founded: 2020

What We Do

Specter is an AI-powered platform that delivers real-time data and insights on private companies, enabling investors to make informed decisions. It offers an AI-driven deal sourcing platform and a dual-lens classification system for industries and tech verticals.

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