Professional Services Senior Software Engineer

Values

Here are our Company Values and we’d love to have individuals who can be a culture add to our team!

What We Offer

• Permanently Remote
• Pay wired directly to your bank account
• $50 Monthly Stipend
• Annual Bonus
• Flexible PTO
• Enjoy company time off during some of the major US Holidays
• Career fast track for performers and internal mobility
• Learn from a team of Stanford, MIT, Google and Harvard alumni

• Architect and build robust API integrations between our platform and client HR, payroll, and POS systems
• Develop and maintain reusable integration frameworks and shared libraries that accelerate delivery across the team
• Own the full software lifecycle — from design and development through testing, deployment, and production support
• Build data migration pipelines and CSV transformation solutions for enterprise onboarding
• Develop two-way payroll integrations with complex business logic and error handling
• Build and deploy custom internal tools that improve team efficiency, integration observability, and customer operations
• Own infrastructure-as-code and deployment pipelines using Terraform, GitHub Actions, and related CI/CD tooling — you ship to production, not just to staging
• Apply AI-native development practices: using LLMs and AI tooling to accelerate development cycles, generate smarter automation, and build more intelligent solutions for clients and internal teams

• Review code and provide technical guidance to junior and mid-level engineers on the PS team
• Establish and document engineering best practices, integration patterns, and internal tooling standards
• Champion AI best practices across the team — helping others understand when and how to use AI tooling effectively and responsibly
• Collaborate with Product and Engineering to surface recurring customer pain points and influence the platform roadmap

• Lead technical discovery sessions with enterprise clients to define integration scope and requirements
• Translate complex business and compliance requirements into clear technical specifications
• Serve as the senior technical voice in client conversations — able to communicate architecture decisions confidently to both technical and non-technical audiences

• Build custom reporting tools, enterprise-grade career site implementations, and AI-assisted automation for customers
• Develop internal tooling and dashboards to improve team efficiency, reduce manual work, and scale PS delivery

• Engineering Depth: You write clean, production-quality code and take ownership of what you ship. You think in systems, not just scripts.
• AI-Native: You don't just know AI exists — you actively use it. You're fluent with LLM APIs, prompt engineering, and AI-assisted development workflows, and you have strong instincts around where AI adds genuine value vs. where it introduces risk
• Backend-First, Full Stack Capable: Strong proficiency in Python and TypeScript/JavaScript; comfortable owning backend services while being capable across the stack
• Integration Expertise: Hands-on experience with REST APIs, webhooks, OAuth, and workflow automation platforms (Workato or similar)
• DevOps Fluency: You're comfortable with Terraform, GitHub Actions, and CI/CD pipelines — shipping and maintaining production infrastructure is part of your normal workflow, not an afterthought
• Technical Leadership: You've mentored engineers, led code reviews, and contributed to engineering standards — not just executed tickets
• Problem Solving: You enjoy ambiguous problems and bring structured thinking to novel technical challenges
• Communication: You can hold your own in a technical architecture conversation and turn around and explain the same concept clearly to a non-technical customer

• 5+ years of software engineering experience, with meaningful full-stack or backend depth
• Bachelor's degree in Computer Science, Software Engineering, or related field (or equivalent practical experience)
• Strong proficiency in Python and TypeScript or JavaScript
• Experience designing and consuming REST APIs at scale
• Proficiency with infrastructure-as-code (Terraform) and CI/CD pipelines (GitHub Actions or equivalent)
• Demonstrated AI-native development practices — active use of LLM APIs, AI tooling, or AI-assisted workflows in prior roles
• Familiarity with version control and collaborative development workflows (GitHub)
• Experience with workflow automation platforms (Workato, Zapier, or similar)
• Must be willing to work during US business hours

• Prior experience in SaaS implementation, professional services, or a customer-facing engineering role
• Exposure to HRIS, payroll, or POS system integrations
• Experience building and maintaining shared internal developer tooling or libraries
• Familiarity with MCP (Model Context Protocol) or agentic AI frameworks