Join Specter as a backend engineer to design and scale distributed systems for a cloud-based perception platform.
Posted by employer 1 year ago
First seen on Joblaze 53 minutes ago
Last verified on the company career page 53 minutes ago
Skills & Technologies
What you'll build
- Architect and implement scalable backend services
- Design and optimize distributed storage and compute systems
- Develop and maintain infrastructure-as-code using Terraform
- Build and operate Kubernetes-based deployments
- Collaborate with perception and full-stack teams
Must have
- Strong experience designing and operating distributed systems in production
- Deep proficiency in Python, Go, or Node.js
- Extensive experience with AWS
- Hands-on experience with Terraform
- Strong PostgreSQL skills
Nice to have
- Experience with containerized deployments
- Familiarity with event-driven and streaming architectures
AI in the day-to-day
Our systems can automatically detect and reason about any physical activity captured on camera.
Not disclosed in this posting: compensation, years of experience, work arrangement, visa sponsorship.
Joblaze summary
In this role, the backend engineer at Specter focuses on designing and scaling distributed systems that support a cloud-based perception platform, handling real-time video and sensor data. Key skills include proficiency in Python, Go, or Node.js, along with extensive experience in AWS and infrastructure-as-code tools like Terraform. This position is ideal for someone with a strong background in distributed systems and a keen interest in physical AI and IoT. Specter is a small, fast-growing team with a mission to automate the physical world through advanced technology.
Joblaze insights
Quick facts
- What's the tech stack?
- Joblaze extracted these technologies from the posting: AWS, Docker, Go, Kafka, Kubernetes, Node.js.
- What seniority level is this role?
- Specter targets mid-level candidates for this position.
- Is this full-time or contract?
- Full-time for this Software Engineer - Backend role at Specter.
From the original posting
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.
Standard company text repeated across Specter's postings is omitted here.