Senior Software Engineer, Back End & Infrastructure
About the role
Evertune is building the first AI discovery platform for modern marketers. You will be part of a tight-knit, high-velocity team working on the backend systems that power our AI Discovery platform. This includes designing distributed systems, shaping our cloud and infrastructure patterns, optimizing AI integrations, and making architectural decisions that help us scale quickly and reliably.
Responsibilities
- Architect, build, and maintain scalable backend services in Python and Go
- 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
- Leveraged observability tooling to monitor, debug, and improve production systems
- Strong communication skills and the ability to influence technical direction
- Active use of LLMs or AI tooling to improve engineering workflows
Nice to Have
- Operating systems across multiple cloud providers
- Built or supported generative AI, LLM, or ML-powered systems
- Previous or current experience in startup or high-growth environments
- Experience designing event-driven systems using queues or streaming infrastructure
- Proficiency in utilizing agentic coding tools (e.g., Claude Code)
Our Tech Stack
- Python, FastAPI, MongoDB, REST APIs
- Google Cloud (GCP)
- GitHub
- Integrations with OpenAI, Google Gemini, Anthropic’s Claude, LLama, DeepSeek, + other LLM APIs
- Vue.js, Javascript
Culture & Values
We value curiosity, velocity, empathy, openness, and ownership. We are 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. Salary is just one part of our total compensation package that includes equity, perks & benefits, and development opportunities at Evertune AI. Individual pay decisions are based on several factors, including qualifications for the role, experience level, skillset, geography, and balancing internal equity relative to other Evertune AI employees. The annual base salary range for this position is: $120,000 - $300,000 + stock options.
Benefits
- Competitive Equity
- Medical/Dental/Vision Coverage
- Generous Paid Time Off
- Commuter Benefits
Application Instructions
Evertune does not accept unsolicited resumes from search firm recruiters. Fees will not be paid in the event a candidate submitted by a recruiter without an agreement in place is hired; such resumes will be deemed the sole property of Evertune. Evertune is an equal opportunity employer. All aspects of employment will be based on merit, competence, performance, and business needs. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, veteran status, or any other status protected under federal, state, or local law.