Staff Software Engineer, Platform

EasyLlama

2d•$163,000 - $185,000•Remote

About The Position

This is a Founding Platform Engineering role at EasyLlama. You’ll be the first dedicated platform engineer, responsible for building the technical foundation that powers our products and enables every engineering team to move faster. You’ll partner closely with the CTO and Sr Engineering Manager to define the vision, architecture, and roadmap for Platform Engineering. Over time, you’ll help build and shape a dedicated Platform Engineering squad, establishing the team’s technical direction, standards, and culture. This is a unique opportunity to build both the platform and the organization from the ground up. As our most senior individual contributor, you’ll remain deeply hands-on while owning the core systems that every engineer depends on, including: Billing and payments, Enterprise integrations and APIs, Kubernetes infrastructure and cloud architecture, CI/CD and developer experience, AI platform and LLM infrastructure, Observability, monitoring, and reliability, Platform security and scalability. If you enjoy solving difficult technical problems, building systems that scale, and enabling other engineers to be more productive, we’d love to talk.

Requirements

10+ years of professional software engineering experience.
Expert-level Ruby on Rails experience building production SaaS applications.
Strong React experience and the ability to work across the full stack.
Extensive experience designing distributed systems and service-oriented architectures.
Deep experience with Kubernetes, Docker, AWS, and cloud-native infrastructure.
Strong experience building and operating CI/CD pipelines and modern developer tooling.
Experience owning production infrastructure with high availability and reliability requirements.
Experience designing and maintaining APIs and enterprise integrations.
Strong understanding of SQL, database design, caching, background processing, and notification systems like email and SMS.
Experience leading complex technical initiatives across multiple teams without direct people management.
Excellent debugging, communication, and architectural design skills.
A builder’s mindset with strong ownership and a passion for creating platforms that enable other engineers to move faster.

Nice To Haves

Experience building AI-native products or internal AI platforms.
Experience with LLMs, AI agents, prompt engineering, RAG, vector databases, and evaluation frameworks.
Experience with Stripe or other subscription billing platforms.
Experience with Infrastructure as Code (Terraform, Helm charts, etc.).
Experience with event-driven architectures and distributed messaging systems like RabbitMQ, SQS, or NATS.
Experience working at a high-growth B2B SaaS company.
Experience with SOC 2, cloud security, and compliance best practices.
Open-source contributions or a track record of technical thought leadership.

Responsibilities

Own the technical roadmap for Platform Engineering.
Architect, build, and operate highly scalable backend services using Ruby on Rails.
Design and operate our Kubernetes infrastructure, cloud architecture, and deployment pipelines.
Improve developer productivity through CI/CD, automation, internal tooling, and engineering best practices.
Build and evolve the platform powering our AI products, including LLM orchestration, agent infrastructure, prompt management, evaluation pipelines, model routing, and AI observability.
Own our billing platform, including subscriptions, licensing, payments, usage metering, invoicing, and Stripe integrations.
Design and maintain secure, scalable integrations with HRIS platforms, identity providers, and enterprise customers using REST APIs, OAuth, SAML, SCIM, and webhooks.
Build best-in-class observability through logging, metrics, tracing, alerting, and performance monitoring.
Improve the scalability, security, reliability, and operational excellence of our platform.
Lead architectural decisions that impact multiple engineering teams.
Mentor engineers through technical leadership, design reviews, and engineering best practices.
Diagnose and resolve complex production issues across infrastructure, applications, and distributed systems.
Help establish and grow the Platform Engineering function as EasyLlama scales.