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Join to apply for the Principal Software Engineer, Back End role at Evertune AI
About Evertune
Evertune is a venture-backed technology company focused on helping brand and marketing teams navigate AI models. Our co-founders were part of the leadership team that scaled the Trade Desk into the leading ad tech platform. We are working at the cutting edge of AI, querying all the major AI models at scale to help brands turn generative AI into a new growth channel. Our teams are based in New York City and Seattle.
About Evertune
Evertune is a venture-backed technology company focused on helping brand and marketing teams navigate AI models. Our co-founders were part of the leadership team that scaled the Trade Desk into the leading ad tech platform. We are working at the cutting edge of AI, querying all the major AI models at scale to help brands turn generative AI into a new growth channel. Our teams are based in New York City and Seattle.
About The Role
Title: Principal Software Engineer, Back End
Seniority Level: Senior
Location: Seattle, WA
Work Arrangement: Hybrid (in-office 3 days per week)
Reporting to: Chief Technology Officer
Impact & Outcomes
As a Principal Software Engineer, Back End At Evertune, Your Contributions Will Directly Drive The Scalability, Reliability, And Innovation Of Our AI Discovery Platform. Your Impact Will Include
- Designing and building high-performance backend systems to support real-time AI model interactions
- Optimizing MongoDB-based data storage solutions for efficiency, reliability, and scalability
- Enhancing the performance of core microservices, focusing on low-latency and high-throughput processing
- Leading backend system architecture and driving technical decision-making
- Collaborating closely with product, frontend, and AI engineering teams to rapidly ship features that align with user needs
- Championing best practices in code quality, testing, and DevOps within the team
- Contributing to system security, observability, and operational resilience
- Architect, build, and maintain scalable backend infrastructure for Evertune's AI products
- Work closely with Product to define features, shipping cadence, and release criteria.
- Write clean, maintainable code and implement robust testing strategies
- Integrate seamlessly with various AI APIs and services, optimizing for cost, speed, and reliability
- Troubleshoot and debug performance issues across services and environments
- Drive continuous improvement in our engineering workflows, tools, and infrastructure
- Collaborate with cross-functional teams to define API contracts, data models, and service interfaces
- Participate in code reviews, sprint planning, and technical design discussions
- 8+ years of backend engineering experience, with a strong command of modern backend languages (e.g., Python, Go, or similar)
- Proficiency with MongoDB and designing performant data schemas
- Deep experience building scalable, production-grade systems on Google Cloud Platform or similar cloud environments
- Proven track record integrating with external APIs, especially high-throughput or real-time services
- Familiarity with CI/CD pipelines and observability tools (e.g., monitoring, logging, tracing)
- Strong communication skills and a collaborative mindset
- Experience working with AI or ML systems, especially generative AI APIs
- Familiarity with message queues and event-driven architectures
- Exposure to frontend or full-stack development in a modern JavaScript framework
- Prior experience in high-growth startups or fast-paced product environments
At Evertune, We’re Building More Than Just Groundbreaking AI Products—we're Building a Culture Where Innovation, Ownership, And Empathy Thrive. Here’s What We Value
- Collaborative & Kind: We’re ambitious, but never at the expense of being respectful and inclusive.
- Bias for Action: We move fast, iterate quickly, and prefer learning through doing.
- Customer Obsession: Our product decisions are anchored in real-world customer needs and feedback.
- High Standards: We care deeply about quality—in our code, our design, and our communication.
- Ownership Mindset: Everyone is trusted to lead initiatives, make decisions, and own outcomes.
Seniority level
Seniority level
Mid-Senior level
Employment type
Employment type
Full-time
Job function
Job function
Engineering and Information TechnologyIndustries
Technology, Information and Internet
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