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# Senior Software Engineer, Back End & Infrastructure

- **Company:** Evertune Inc.
- **Location:** New York, NY, United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Amazon Web Services, Automation of Tests, Microsoft Azure, Cloud Computing, Code Review, Databases, Continuous Integration, Software Debugging, Distributed Systems, Identity and Access Management, Python (Programming Language), MongoDB, OpenAI, Software Engineering, Data Streaming, Test Data, Google Cloud, Cloud Platform System, Large Language Models, Claude Code, Generative AI, Backend, Agentic-AI, Event Driven Architecture, Terraform, Data Pipelines, Docker, Legacy Systems
- **Published:** November 7, 2026
- **Apply:** https://www.juju.com/job/28_25303_6d2f02940ee9e7037a7949229a979c5d

## About the Role

You are a software engineer first - someone who understands how to build software systems with strong engineering discipline - but you're also excited to operate at the infrastructure layer. You understand how a strong and stable infrastructure benefits the entire organization. You can reason about cloud environments, permissions, deployment systems, and performance bottlenecks, and you know how to simplify high-ambiguity systems into clean, reliable abstractions., * 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), * 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).

## Description

* 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