GrepJob
Evertune

Senior Software Engineer, Back End & Infrastructure (NYC OR Seattle)

Evertune
Apply
2 months ago

Base Salary

$140k - $200k/yr

Responsibilities

  • Architect, build, and maintain scalable backend services in Python and Go.
  • Design resilient APIs, optimize data pipelines, and improve system performance and reliability.
  • Own and evolve parts of our cloud infrastructure, including environment configuration and access patterns.
  • Implement and manage infrastructure as code using Terraform or equivalent.
  • Design and maintain containerized services using Docker and modern deployment workflows.
  • Integrate and test data from third-party APIs, including LLM providers like OpenAI and Anthropic.
  • Manage performance, cost, and observability across AI integrations and backend systems.
  • Debug and troubleshoot issues across application and infrastructure layers.
  • Simplify and scale complex systems to support product growth and increasing data volume.
  • Influence long-term technical direction and backend architecture.
  • Mentor junior engineers through code reviews and coaching.
  • Collaborate across the stack to ship product features quickly and reliably.

Requirements

  • 7+ years building and owning resilient, high-performance backend systems for user-facing or B2B products.
  • Strong software engineering discipline with a focus on designing testable systems.
  • Deep proficiency in Python (or similar) and experience designing distributed systems.
  • Experience operating production workloads in cloud environments (GCP, AWS, Azure, or similar).
  • Proven ability to improve performance and reliability of ambiguous or legacy systems.
  • Experience with infrastructure as code using Terraform or equivalent.
  • Proficiency in designing and deploying containerized services using Docker.
  • Experience with scalable data models and databases such as MongoDB.
  • Ability to integrate and operate third-party APIs at scale.
  • Familiarity with observability tooling to monitor and improve production systems.
  • Strong communication skills and the ability to influence technical direction.
  • Experience leveraging LLMs or AI tooling to improve engineering workflows.
  • Must be able to work in the Seattle or NYC office 3 days per week.

Benefits

  • Competitive Equity.
  • Medical/Dental/Vision Coverage.
  • Generous Paid Time Off.
  • Commuter Benefits.

Tech Stack

AWSAzureDockerFastAPIGoGoogle CloudJavaScriptMongoDBPythonTerraformVue.js

Categories

AI & MLBackendData EngineeringDevOps