- 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