Evertune

Evertune

Senior Software Engineer, Back End & Infrastructure

New York City or Seattle · Senior

Work authorization required$150k-$200kDetected 146 days ago
PythonGoVue.jsFastAPIDistributed SystemsBackend DevelopmentGitMongoDBGCPCloud PlatformsDockerTerraformRESTMachine LearningData EngineeringLLMsCommunication

About the role

  • You'll take and share deep technical ownership of the backend systems that power our AI Discovery platform, working at the bleeding edge of evaluating and applying LLMs to real-world problems.
  • This includes designing distributed systems, shaping our cloud and infrastructure patterns, optimizing AI integrations, and making architectural decisions that help us scale quickly and reliably.
  • You can reason about cloud environments, permissions, deployment systems, and performance bottlenecks, and you know how to simplify high-ambiguity systems into clean, reliable abstractions.

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 (Terraform or equivalent)
  • Design and maintain containerized services using Docker and modern deployment workflows
  • Manage performance, cost, and observability across AI integrations and backend systems
  • Simplify and scale complex systems to support product growth and increasing data volume
  • Collaborate across the stack to ship product features quickly and reliably
  • 7+ years building and owning resilient, high-performance backend systems for user-facing or B2B products

Requirements

  • Deep proficiency in Python (or similar) and a track record of designing distributed systems
  • Strong communication skills and the ability to influence technical direction

Nice to have

  • Experience operating systems across multiple cloud providers
  • Has built or supported generative AI, LLM, or ML-powered systems
  • Experience designing event-driven systems using queues or streaming infrastructure
  • Previous or current experience in startup or high-growth environments
  • Proficiency in utilizing agentic coding tools (e.g., Claude Code).
  • Our Tech Stack: Python, FastAPI, MongoDB, REST APIs, Google Cloud (GCP), GitHub, Integrations with OpenAI, Google Gemini, Anthropic's Claude, LLama, DeepSeek, + other LLM APIs, Vue.js, Javascript.
  • Culture & Values:
  • Here's what we value:

Compensation

  • $150,000 - $200,000 + stock options.
  • Evertune does not accept unsolicited resumes from search firm recruiters.
  • Fees will not be paid in the event a candidate submitted by a recruiter without an agreement in place is hired; such resumes will be deemed the sole property of Evertune.
  • All aspects of employment will be based on merit, competence, performance, and business needs.
  • Our salary ranges are based on paying competitively for our size and industry.
  • It is our expectation that the majority of candidates who are offered roles at Evertune AI will land well within our salary ranges based on these factors.

Benefits

  • Salary is just one part of our total compensation package that includes equity, perks & benefits, and development opportunities at Evertune AI.
  • Individual pay decisions are based on several factors, including qualifications for the role, experience level, skillset, geography, and balancing internal equity relative to other Evertune AI employees.
  • include: Competitive Equity, Medical/Dental/Vision Coverage, Generous Paid Time Off, Commuter Benefits, etc.
  • The annual base salary range for this position is: $150,000 - $200,000 + stock options.

Company info

  • At Evertune, we're building more than just groundbreaking AI products-we're building a culture where speed, insight and humanity go hand in hand.

Equal opportunity

  • Evertune is an equal opportunity employer.
  • equal opportunity employer.

Visa & Work Authorization

  • At this time, we are only able to consider candidates who are authorized to work in the United States without the need for current or future visa sponsorship.
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This listing is sourced directly from Evertune's careers page and normalized into a canonical job model.