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Software Engineer - Backend

Specter

San Francisco, CAFull-timeNo compensation foundPosted 9mo agoVerified open 3 days ago

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At a glance

Compensation
No compensation found
Location
San Francisco, CA
Schedule
Full-time
Work Authorization
Not specified

Job overview

Specter is hiring a Software Engineer - Backend. Specter is seeking a backend engineer to design and scale distributed systems for its cloud-based perception platform. This role involves building services, data pipelines, and infrastructure to ingest, process, and serve real-time video, sensor, and computer vision data at scale. The engineer will own the reliability, performance, and scalability of core backend systems, collaborating with perception and full-stack teams.

Key focus areas include Architect and implement scalable backend services and data pipelines for high-throughput, real-time streams., Design and optimize distributed storage and compute systems for low-latency data access and high availability., and Develop and maintain infrastructure-as-code using Terraform to manage cloud resources in AWS..

Important skills include Architect Scalable Backend Services, Implement Scalable Backend Services, Architect Data Pipelines, Implement Data Pipelines, Design Distributed Storage, and Optimize Distributed Storage. Preferred (not required): AWS Kinesis and Internet of Things.

Skills & qualifications

RequiredNice to have

Skills

Architect Scalable Backend ServicesImplement Scalable Backend ServicesArchitect Data PipelinesImplement Data PipelinesDesign Distributed StorageOptimize Distributed StorageDesign Compute SystemsOptimize Compute SystemsDevelop Infrastructure-as-CodeTerraformManage Cloud Resources in AWSBuild Kubernetes-Based DeploymentsReliabilityObservabilityEfficient Resource UtilizationDesign Relational Data ModelsDesign Time-Series Data ModelsPostgreSQLOptimize Ingestion ThroughputOptimize Query PerformanceDevelop Event-Driven ArchitecturesKafkaAWS SQSCollaborate With Perception TeamsCollaborate With Full-Stack TeamsDefine API ContractsData Flow DesignsIncident ManagementCapacity PlanningPythonGoNode.jsSystems-Level ThinkingAmazon EC2ECS/EKSAmazon S3Amazon RDSAWS LambdaVPC NetworkingDockerCI/CD AutomationSecurityIdentity Management in Cloud EnvironmentsAWS KinesisPhysical AIInternet of ThingsLarge-Scale Distributed Sensing Systems

Qualifications

Experience Designing Distributed Systems in ProductionExtensive Experience With AWSHands-on Experience With TerraformStrong PostgreSQL SkillsExperience With Containerized DeploymentsFamiliarity With Event-Driven ArchitecturesFamiliarity With Streaming Architectures

Full job description

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.

You've read the whole posting — now see how you match it.