Hybrid Senior Software Engineer, Back End – Infrastructure

at Evertune AI

• Job title: Senior Software Engineer, Back End – Infrastructure
• Job type: Full Time
• Experience level: Senior
• Salary: $140,000 - $200,000 per year
• Degree requirement: Bachelor's Degree
• Tech skills: AWS, Azure, Cloud, Distributed Systems, Docker, Google Cloud Platform, MongoDB, Python, Terraform, Go
• Location requirements: Hybrid, Seattle, United States

About the role

• Senior Software Engineer developing scalable backend systems for Evertune's AI discovery platform. Focusing on distributed systems and cloud infrastructure with a hybrid work model.

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

Requirements

• 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 (hybrid model)

Benefits

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