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This is a hands-on senior technical leadership role for someone who: Architects systems by engaging directly with code, teams, and real constraints; Partners closely with product, business, and customer stakeholders; Sets direction without dogma and raises the bar without creating friction; Understands when to go deep, when to delegate, and when to say "no". You will be trusted to make meaningful technical decisions and expected to explain the why behind them.
Job Responsibility:
Lead solution architecture and delivery for complex customer initiatives
Work hands-on across the stack where it provides the most leverage
Partner with customer teams to raise engineering maturity, not just ship features
Mentor and level up engineers through collaboration, reviews, and example
Help define technical direction while staying grounded in delivery reality
Contribute to internal standards, practices, and architectural thinking
Requirements:
15+ years of full-time professional experience delivering custom, enterprise-grade software
Operated at Staff, Principal, or Architect level
Can take loosely defined problems and turn them into clear, shippable solutions
Has strong architectural opinions—and knows when to change them
Is accountable for outcomes, not just implementations
Communicates clearly with engineers, product leaders, and business stakeholders
Enjoys mentoring and elevating other engineers without needing formal authority
Values pragmatism, sustainability, and long-term maintainability over novelty
Strong grounding in web fundamentals (HTML, CSS, JavaScript)
Deep experience with TypeScript
Comfort working with modern CSS tooling (Sass, LESS, PostCSS)
Experience reasoning about performance, accessibility, and maintainability in large front-end systems
Deep understanding of API design (REST, GraphQL, RPC), HTTP, caching, and resiliency patterns
Experience designing and operating scalable, fault-tolerant systems under real load
Strong grasp of cloud platforms (IaaS, PaaS, SaaS) and their tradeoffs
Experience with service-oriented and microservice architectures, including when not to use them
Proven ability to identify, communicate, and mitigate technical risk across teams and systems
Experience integrating and normalizing heterogeneous data sources in production environments
Comfort owning performance optimization and security hardening end-to-end
Nice to have:
Modern AI systems (prompting, model integration, workflows, intelligent agents)