Senior Software Engineer, Back End & Infrastructure (NYC OR Seattle)

Seattlefull-timesenior

OtherEngineer

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Quick Summary

Overview

PLEASE NOTE: At this time, we are only able to consider candidates who are authorized to work in the United States without the need for current or future visa sponsorship. This includes U.S. citizens and Green Card holders.

Key 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…

Requirements Summary

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…

Technical Tools

anthropicawsazuredockerfastapigcpgojavascriptmongodbopenaipythonterraformvueb2bci-cdcode-reviewdistributed-systemsetlrest-apissystem-design

Responsibilities

~1 min read

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Architect, build, and maintain scalable backend services in Python and Go
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Design resilient APIs, optimize data pipelines, and improve system performance and reliability
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Own and evolve parts of our cloud infrastructure, including environment configuration and access patterns
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Implement and manage infrastructure as code (Terraform or equivalent)
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Design and maintain containerized services using Docker and modern deployment workflows
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Integrate and test data from third-party APIs, including LLM providers like OpenAI and Anthropic
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Manage performance, cost, and observability across AI integrations and backend systems
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Debug and troubleshoot issues across application and infrastructure layers
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Simplify and scale complex systems to support product growth and increasing data volume
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Influence long-term technical direction and backend architecture
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Mentor junior engineers through code reviews and coaching
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Collaborate across the stack to ship product features quickly and reliably

Requirements

~1 min read

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)

Nice to Have

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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).

What We Offer

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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. It is our expectation that the majority of candidates who are offered roles at Evertune AI will land well within our salary ranges based on these factors.

The annual base salary range for this position is: $150,000 - $200,000 + stock options.

Benefits include: Competitive Equity, Medical/Dental/Vision Coverage, Generous Paid Time Off, Commuter Benefits, etc.

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.