Software Architect

Accountabilities:

• Build and maintain a comprehensive view of the platform architecture, including data flows, service boundaries, ownership areas, and dependencies, keeping the architecture current as the organization evolves.


• Identify systemic scalability, reliability, performance, and cost risks across the platform pipeline and drive architectural improvements before they become production incidents.


• Establish direction for API design and service patterns across REST APIs, SDKs, and MCP surfaces, ensuring consistent experiences across the platform.


• Shape the roadmap for foundational initiatives such as cell-based architecture, multi-region readiness, rate limiting, and feature flag infrastructure, while personally leading the most complex architectural designs.


• Act as a full-time technical leader across the engineering organization by setting priorities, driving architecture decisions to completion, maintaining decision records, and following through on adoption.


• Partner with Engineering leadership and Staff/Lead Engineers to prioritize cross-cutting technical initiatives and align them with individual team roadmaps.


• Mentor Staff-level engineers in system design, technical writing, architectural thinking, and influence.


• Strengthen existing design review processes, including RFCs and cross-team design reviews, making them consistent, lightweight, and valuable for engineering teams.


• Establish and extend engineering standards for observability, quality, security-by-design, API evolution, and versioning in collaboration with platform, security, and product teams.


• Review and approve critical architectural designs while using the review process as an opportunity to develop engineering capability rather than create unnecessary gatekeeping.


• Translate business growth, enterprise requirements, new product launches, and AI/MCP workflows into multi-quarter technical strategy and investment priorities.


• Advise Engineering and executive leadership on build-versus-buy decisions, platform investments, and technical risks using clear business-oriented communication.


• Lead the adoption of AI within engineering practices by establishing approaches for AI-assisted design, coding, review, architecture, and documentation.


• Stay hands-on when needed by developing prototypes, reference implementations, technical documentation, and investigating complex production issues.

Requirements

• 10+ years of software engineering experience, including at least 3 years operating as an Architect within an engineering organization of 100+ people, with ownership of platform-level architecture rather than an individual service.


• Proven ability to lead through influence, including guiding senior engineers without direct authority, facilitating architecture or design-review forums, and driving adoption of technical standards across teams.


• Deep expertise in distributed systems and high-throughput, low-latency backend architecture, with experience in Go or a similar systems programming language, Kubernetes, AWS, event-driven systems, and data-intensive architectures.


• Broad technical understanding across adjacent layers such as client SDKs, data pipelines, and machine learning serving environments.


• Strong experience designing public APIs and SDKs at scale, including API versioning, backward compatibility, and consistency across multiple interfaces.


• Demonstrated ability to anticipate systemic technical risks and proactively address them before they result in failures or incidents.


• Exceptional written and verbal communication skills, with the ability to make complex technical decisions understandable to both engineers and executive stakeholders.


• Strong preference for asynchronous and documented decision-making, with experience producing clear technical documentation and durable architectural records.


• Practical experience using AI coding and reasoning tools as part of software design, prototyping, code review, documentation, and engineering workflows.


• Understanding of how to design codebases, documentation, service boundaries, and APIs so that both engineers and AI agents can interact with systems safely and effectively.


• Pragmatic approach to architecture, balancing long-term technical strategy with delivery requirements and knowing when a simpler solution is appropriate.


• Comfortable establishing a new dedicated architecture function, earning the trust of existing technical leaders, and improving their effectiveness without displacing existing ownership.


• Experience in fraud detection, identity, device intelligence, or other adversarial technology environments is a plus.


• Experience with multi-region or cell-based architectures is a plus.


• Familiarity with MCP, LLM tool integrations, or agent-facing API design is a plus.


• Experience with ClickHouse, Kafka, or comparable high-volume data infrastructure is a plus.

• Fully remote work environment.


• For U.S.-based employees, cash compensation of $177,000–$240,000; compensation ranges vary by hiring location and may differ outside the U.S.


• Compensation offers may vary based on relevant experience, education, certifications, skills, training, and market conditions.


• Global remote environment with the ability to work from many countries, subject to regulatory and security restrictions.


• Visa sponsorship is not provided; team members must be authorized to work from their home location.


• Opportunity to establish and lead a dedicated architecture function across a large engineering organization.


• Direct partnership with senior Engineering leadership and Staff/Lead Engineers across multiple teams.


• Significant influence over platform architecture, scalability, reliability, APIs, and foundational technical investments.


• Opportunity to shape AI-assisted engineering practices and architecture for AI-agent interaction.


• Inclusive and globally distributed work environment that values diverse experiences, perspectives, and cultural backgrounds.

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