Senior Software Engineer, Back End & Infrastructure

📋 Job Overview

Join Evertune as a Senior Software Engineer, Back End & Infrastructure, where you'll take deep technical ownership of backend systems powering our AI Discovery platform. You'll work at the bleeding edge of evaluating and applying LLMs to real-world problems, designing distributed systems, shaping cloud and infrastructure patterns, and making architectural decisions that help us scale quickly and reliably.

🏢 About Evertune AI

Evertune is building the first AI discovery platform for modern marketers. As large language models (LLMs) become the go-to source for recommendations – we help brands understand exactly what AI is saying about them, where they stand against competitors, and how to show up more often in AI-powered answers. Our platform turns black-box AI behavior into actionable insights, so marketing teams can make faster, smarter decisions that drive growth.

🎯 The Role

You’ll be joining Evertune’s software engineering team– a tight-knit, high-velocity group, with most of us based in Seattle and New York. While we span time zones, we operate with tight alignment and shared urgency. Our engineers optimize for high velocity: we ship fast, sweat the details, and genuinely enjoy building together.

✅ Key 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

📌 Required 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 or NYC office 3 days per week

🎁 Benefits

Salary range: $120K – $300K • Offers Equity
All employees may be eligible to become Evertune shareholders through eligibility for stock-based compensation grants, which are awarded to employees based on company and individual performance. Evertune also offers other compensation depending on the role such as sales-based incentives and commissions.

🛂 Visa & Eligibility

PLEASE NOTE: 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. This includes U.S. citizens and Green Card holders.