Principal Platform Engineer

Jobtailor; Kansas; On-site; USD 140,000 - 190,000; Full time

Job summary

Jobtailor is seeking a senior architect to own end-to-end architecture across a multi-system platform. You will drive decisions in backend systems, integrations, and data platforms, shaping data models and API-first interfaces for scalable, secure, and compliant solutions.

You will define data warehouse strategy, enable operational reporting, and collaborate with product, IT, and business stakeholders to deliver enduring platform capabilities across teams.

Qualifications

• 7+ years of software engineering experience with platform or full-stack focus.
• Proven ability to design and build enterprise-scale platforms and distributed systems.
• Strong experience with system architecture, APIs, integration strategy, and scalable backend services.
• Deep understanding of data architecture, data modeling, and data pipeline design.
• Hands-on experience building production systems in cloud environments (AWS/Azure/GCP).
• Experience with CI/CD pipelines, infrastructure automation, and modern engineering practices.

Responsibilities

• Define and own the end-to-end architecture for a multi-system platform ecosystem.
• Lead architecture decisions across backend systems, integrations, infrastructure, and data platforms.
• Design core data models and integration patterns shared across systems and business domains.
• Establish API-first architecture, service boundaries, and interoperability standards.
• Lead foundational data architecture, including data modeling, warehouse strategy, and operational reporting enablement.
• Design for scalability, multi-tenancy, security, compliance, and long-term extensibility.

Skills

End-To-End Architecture

Data Architecture

API-First Architecture

Cloud Environments (AWS/Azure/GCP)

Production-Grade Software

Backend Technologies (Node.js, Python,

Frontend Frameworks (React)

CI/CD Pipelines

Infrastructure Automation

Database Fundamentals (Relational, No‑

Tools

AWS

Azure

GCP

Job description

• Define and own the end-to-end architecture for a multi-system, evolving platform ecosystem.


• Lead architecture decisions across backend systems, integrations, infrastructure, and data platforms.


• Design core data models and integration patterns shared across systems and business domains.


• Establish API-first architecture, service boundaries, and interoperability standards.


• Lead foundational data architecture, including data modeling, warehouse strategy, and operational reporting enablement.


• Design for scalability, multi-tenancy, security, compliance, and long-term extensibility from the start.


• Drive technical decision-making through architecture documentation, standards, and collaborative reviews.


• Write and deliver production-grade software across backend services, APIs, integrations, and frontend applications.


• Build and evolve platform capabilities used across multiple teams and operational domains.


• Develop data pipelines and integration layers that connect existing and future systems.


• Contribute to UX/UI decisions to ensure intuitive and scalable user experiences.


• Improve platform reliability, maintainability, observability, and performance.


• Own the integration surface across operational tools and help normalize workflows and data structures across legacy systems.


• Establish engineering standards, best practices, and development patterns.


• Serve as a senior technical authority across multiple systems and initiatives.


• Partner with Product, IT, Operations, and business stakeholders to align technical solutions with organizational goals.


• Translate complex technical concepts into clear, actionable guidance for technical and non-technical stakeholders.


• Evaluate emerging technologies, frameworks, and AI-assisted development capabilities.


• Collaborate with external vendors and development partners, including reviewing deliverables and defining technical acceptance criteria.

Requirements

• 7+ years of software engineering experience, including significant experience in platform or full-stack engineering.


• Proven ability to design and build enterprise-scale platforms and distributed systems.


• Strong experience with system architecture, APIs, integration strategy, and scalable backend services.


• Deep understanding of data architecture, data modeling, and data pipeline design.


• Hands-on experience building production systems in cloud environments (AWS, Azure, or GCP).


• Experience with CI/CD pipelines, infrastructure automation, and modern engineering practices.


• Strong coding ability in modern backend technologies such as Node.js, Python, Go, or similar.


• Experience with modern frontend frameworks such as React or similar.


• Strong database fundamentals across relational and NoSQL systems.


• Experience integrating complex systems across multiple teams or business domains.


• Ability to operate independently and lead through influence in ambiguous, high-impact environments.


• Excellent communication and collaboration skills with both technical and business stakeholders.

Core Competencies

Demonstrates expertise in defining and owning end-to-end architecture for multi-system platforms, with a strong focus on data architecture, API-first design, and scalable backend services. Proven ability to lead technical decision-making and collaborate effectively with cross-functional teams to align solutions with organizational goals.

Highest-signal resume keywords

• End-To-End Architecture Design


• Data Architecture and Modeling


• API-First Architecture


• Cloud Environments (AWS, Azure, GCP)


• Production-Grade Software Development

ATS Optimization Keywords

Hard Skills

• Software Engineering


• System Architecture


• Data Pipeline Design
  
• Backend Technologies (Node.js, Python, Go)


• Frontend Frameworks (React)


• CI/CD Pipelines


• Infrastructure Automation


• Database Fundamentals (Relational, NoSQL)


• Integration Strategy


• Scalable Backend Services

Soft Skills

• Excellent Communication


• Collaboration Skills


• Leadership Through Influence


• Ability to Operate Independently


• Translating Technical Concepts

Industry Keywords

• Enterprise-Scale Platforms


• Distributed Systems


• Operational Reporting


• Multi-Tenancy


• Observability


• Performance Improvement


• Engineering Standards


• Best Practices


• Technical Acceptance Criteria


• Vendor Collaboration