7 months ago
Base Salary
$140k - $200k/yr
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 cloud infrastructure, including environment configuration and access patterns.
- Implement and manage infrastructure as code using Terraform or an equivalent tool.
- Design and maintain containerized services using Docker and modern deployment workflows.
- Integrate and test data from third-party APIs, including 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.
Requirements
- 7+ years of experience building and owning resilient, high-performance backend systems for user-facing or B2B products.
- Deep proficiency in Python or a similar language and experience designing distributed systems.
- Production experience with cloud environments, including IAM, service accounts, access controls, and environment isolation.
- Experience improving the performance and reliability of ambiguous or legacy systems by simplifying architecture and reducing operational risk.
- Experience building and maintaining infrastructure as code with Terraform or an equivalent tool.
- Experience designing and deploying containerized services using Docker and modern deployment workflows.
- Experience designing scalable data models and working deeply with databases such as MongoDB or similar.
- Experience integrating and operating third-party APIs at scale with attention to performance, cost, and failure handling.
- Experience with observability tooling for monitoring, debugging, and improving production systems.
- Strong software engineering discipline, including testable systems, meaningful automated tests, and regression prevention.
- Strong communication skills and the ability to influence technical direction.
- Active use of LLMs or AI tooling to improve engineering workflows.
- Must be authorized to work in the United States without current or future visa sponsorship.
- Must be able to work from the Seattle or NYC office three days per week.
- Experience across multiple cloud providers, generative AI/LLM/ML-powered systems, event-driven systems, startup or high-growth environments, or agentic coding tools such as Claude Code is preferred.
Benefits
- Competitive equity and stock options
- Medical, dental, and vision coverage
- Generous paid time off
- Commuter benefits
- Hybrid work model requiring three days per week in the Seattle or NYC office
Tech Stack
Categories
About Evertune
Evertune builds an AI search visibility and brand analytics platform for marketing teams, tracking how LLMs recommend brands and turning insights into content and SEO actions. Delivered as subscription SaaS, it monitors responses from ChatGPT, Gemini, Claude and similar systems to benchmark competitors and optimize messaging. Founded in 2024 and headquartered in New York City, it operates as a privately held company.