Jobs · Information Technology

Senior Backend & Infrastructure Engineer

Scispot · United States · 2 wk ago
RemoteRemoteInformation Technology$80k–$120k/yrFull-time

The Role

We are looking for a senior backend and infrastructure engineer who treats production as a product.

You will own the systems beneath Scispot: backend services, messaging, databases, cloud infrastructure, CI/CD, observability, security, and reliability.

This is not an ops-only role.

  • Tracing a RabbitMQ bottleneck.
  • Building a FastAPI or Spring Boot service.
  • Tuning PostgreSQL or ElasticSearch.
  • Improving an EKS rollout.
  • Designing a safer AWS and Azure boundary.
  • Reducing cloud cost without weakening reliability.
  • Debugging a production issue across code, queues, caches, and infrastructure.
  • Optimizing the workload for AI pipelines

What You’ll Own

  • Design, build, and operate cloud infrastructure across AWS and Azure for scale, reliability, security, and cost efficiency.
  • Build and evolve backend services in Python and FastAPI, Java and Spring Boot, or closely related frameworks.
  • Own backend reliability and performance across services, dependencies, queues, caches, databases, and external integrations.
  • Build and improve CI/CD pipelines so the team can deploy quickly, safely, and with clear rollback paths.
  • Run production end to end. This includes deployments, monitoring, alerting, debugging, incident response, post-incident follow-up, and capacity planning.
  • Design event-driven and asynchronous workflows using RabbitMQ or similar messaging systems.
  • Use Redis and other caching patterns to improve latency, throughput, and resilience.
  • Operate relational data stores in RDS, graph workloads in Cosmos DB, and NoSQL or vector workloads in MongoDB Atlas.
  • Build useful observability with logs, metrics, traces, dashboards, and alerts using tools such as Datadog and ELK.
  • Improve network and application security. This includes VPC design, secrets management, access control, encryption, and auditability.
  • Turn repeated operational work into code, tools, runbooks, and guardrails that raise developer velocity.
  • Make clear trade-offs among speed, reliability, maintainability, compliance, and cloud cost.

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