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Senior Software Engineer, Back End & Infrastructure

Evertune· Engineering
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Hybrid (New York, NY, Denver, CO, or Seattle, WA)$120k - $300kFull-timePosted 7mo ago

About the role

Senior backend and infrastructure engineer responsible for designing distributed systems, cloud infrastructure, and AI integrations to scale Evertune's AI discovery platform.

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
  • 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

Qualifications

  • 7+ years building and owning resilient, high-performance backend systems for user-facing or B2B products
  • Strong software engineering discipline - you design testable systems, write meaningful automated tests, and protect against regressions as systems evolve
  • Deep proficiency in Python (or similar) and a track record of designing distributed systems
  • Operated production workloads in cloud environments (GCP, AWS, Azure, or similar), including IAM, service accounts, access controls, and environment isolation
  • Improved the performance and reliability of ambiguous or legacy systems by simplifying architecture and reducing operational risk
  • Built and maintained infrastructure as code using Terraform or equivalent
  • Designed and deployed containerized services using Docker and modern CI/CD workflows
  • Designed scalable data models and worked deeply with databases such as MongoDB or similar
  • Integrated and operated third-party APIs at scale with attention to performance, cost, and failure handling
  • Worked with observability tooling to monitor, debug, and improve production systems
  • Strong communication skills and the ability to influence technical direction
  • Actively leverage LLMs or AI tooling to improve engineering workflows
  • Must be able to work in our Seattle , Denver, or NYC office 2-3 days per week

Skills

Required:PythonCloud environments (GCP, AWS, Azure)TerraformDocker & CI/CDDatabases (MongoDB or similar)Third-party APIs & LLMs (OpenAI, Anthropic, etc.)Observability toolingAI tooling / LLM workflows
Nice to have:Go

Benefits

  • Competitive Equity
  • Medical/Dental/Vision Coverage
  • Generous Paid Time Off
  • Commuter Benefits
  • etc.
Last updated Sep 9, 2026. Interested? Apply on the company site.

About Evertune

A TEAM AT THE INTERSECTION OF AI AND MARKETING

We launched Evertune because we believe that AI is in the early stages of revolutionizing marketing and advertising, and we’re building a company to power that future.

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