Senior Software Engineer, Back End

About the role

Evertune is building the first AI discovery platform for modern marketers. We help brands understand AI's impact on their marketing strategies and provide actionable insights to drive growth.

Responsibilities

• Own and build key backend systems that power Evertune’s product experience
• Design, build, and maintain scalable backend services, APIs, and application logic in Python
• Ship product-facing backend features that support customer workflows, insights, and AI-driven experiences
• Integrate and test third-party APIs, including LLM providers like OpenAI, Anthropic, Google, and others
• Collaborate closely with product, design, and engineering to turn complex requirements into clean, reliable systems
• Model and manage data in ways that support evolving product needs and scalable application development
• Debug and troubleshoot issues across backend services, integrations, and production systems
• Influence backend architecture and technical decisions that help the team move quickly and sustainably
• Contribute to a team culture that values speed, craft, ownership, and candor

Requirements

• Must currently be located in the NYC or Seattle area and able to work in-office 2-3x/week
• 7+ years of experience building and shipping production software for user-facing or B2B products, with substantial depth in backend engineering
• Experience building scalable backend systems in Python or similar languages, with Python highly preferred
• Strong fundamentals in system design, data modeling, testing, debugging, and performance optimization
• Track record of building reliable product-facing services and integrations that directly support customer workflows
• Comfortable working across APIs, databases, cloud infrastructure, observability, and CI/CD
• AI-forward and actively using AI tools / LLMs to improve speed, quality, and engineering leverage
• Strong communication skills, technical judgment, and comfort operating in a fast-moving startup environment

Nice to Have

• Experience building analytics products, data-heavy applications, or complex B2B workflows
• Experience integrating and operating LLM or generative AI systems in production
• Familiarity with MongoDB or other NoSQL databases
• Experience with event-driven systems, queues, or streaming architectures
• Familiarity with cloud infrastructure, containerized services, or infrastructure-as-code

Culture & Values

We value curiosity, velocity, empathy, openness, and ownership. We are committed to creating a culture where speed, insight, and humanity go hand in hand.

Compensation Philosophy & Benefits

Our salary ranges are based on paying competitively for our size and industry. Benefits include competitive equity, medical/dental/vision coverage, generous paid time off, commuter benefits, etc.