Senior Software Engineer, Back End & Infrastructure

The role

You will take technical ownership of backend systems for an AI Discovery platform. This includes designing distributed systems, shaping cloud and infrastructure patterns, and optimizing AI integrations.

What you will do

• 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

Required qualifications

• 7+ years building and owning resilient, high-performance backend systems for user-facing or B2B products
• Strong software engineering discipline
• Deep proficiency in Python (or similar)
• Track record of designing distributed systems
• Operated production workloads in cloud environments (GCP, AWS, Azure, or similar)
• 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
• Worked with observability tooling to monitor, debug, and improve production systems
• Strong communication skills
• Actively leverage LLMs or AI tooling to improve engineering workflows

Nice to have

• Experience operating systems across multiple cloud providers
• Has built or supported generative AI, LLM, or ML-powered systems
• Experience designing event-driven systems using queues or streaming infrastructure
• Previous or current experience in startup or high-growth environments
• Proficiency in utilizing agentic coding tools (e.g., Claude Code)

Benefits

• Competitive Equity
• Medical/Dental/Vision Coverage
• Generous Paid Time Off
• Commuter Benefits

Before you apply

• Only able to consider candidates who are authorized to work in the United States without the need for current or future visa sponsorship
• Includes U.S. citizens and Green Card holders

About the company

Evertune is building the first AI discovery platform for modern marketers. It is founded by leaders who helped scale The Trade Desk and is backed by Felicis Ventures and other investors.