Staff Software Engineer (Platform Engineering)

Quick Facts

• Role: Staff Software Engineer (Platform Engineering)

• Work style: Remote

Description

You’ll lead the architecture, development, and scalability of platforms that power operational workflows and AI data workflows. The work spans distributed backend systems, event-driven processing, workflow orchestration, and intelligence delivery, including foundations for AI agents. You’ll stay hands-on with production-grade code and provide technical leadership across critical initiatives.

Responsibilities

• Drive platform architecture for operational workflows, data pipelines, expert lifecycle management, and intelligence delivery

• Design scalable distributed services, APIs, and integrations for high-volume, cross-platform workflows

• Build AI data infrastructure for expert-generated data, enterprise datasets, human feedback, and multimodal workflows

• Architect workflow orchestration for pipeline creation, onboarding, subscription management, and automated operations

• Develop data intelligence services that aggregate, process, and surface unified, actionable insights

• Establish reusable agentic engineering infrastructure (tool calling, orchestration, context management, structured outputs, evaluation, observability)

• Write production-grade code, troubleshoot complex issues, and enforce engineering standards

• Improve engineering productivity using AI-assisted development, automated testing, CI/CD, and developer tooling

• Mentor engineers, guide architectural decisions, reduce technical debt, and collaborate with Product, AI/ML, Data, and Operations

Requirements

• 10+ years of software engineering experience scaling complex production systems

• Hands-on backend programming expertise in Python or TypeScript (or similar)

• Extensive experience with distributed systems, microservices, APIs, event-driven architectures, asynchronous processing, and orchestration

• Strong system design and architecture skills with trade-offs for scalability, reliability, performance, and maintainability

• Data-intensive platform experience: ingestion, ETL/ELT pipelines, and analytics infrastructure

• Practical experience with LLMs and agentic systems: tool calling, orchestration, RAG, context management, and evaluation frameworks

• Cloud infrastructure experience (AWS/GCP/Azure), containerization, Kubernetes, databases, and CI/CD

• Strong quality practices: automated testing, observability, performance optimization, and production reliability

• Proven technical leadership owning projects from design through production

Benefits

• Base salary range: $250,000–$300,000

• Equity compensation eligible for all employees

• Performance-based bonuses may be available depending on role and policies

• Up to 100% reimbursement for health-insurance premiums

• Paid time off

• 401(K) with company match

• Additional benefits for a remote-first workforce