We are looking for a Senior Software Architect to join our engineering organization and help shape the technical future of our platforms. This role is focused on owning end-to-end architecture for large-scale, cloud-native systems, while playing a hands-on leadership role in adopting and running agentic GenAI systems in production.
You will act as a technical focal point across teams, driving architectural coherence, accelerating technical feasibility for products, and ensuring our systems are scalable, secure, and future-ready. This is a senior, impact-driven role for an architect who leads through deep technical expertise rather than people management.
Role – Key Responsibilities:
Own and evolve end-to-end architecture for large-scale, cloud-native platforms and distributed systems
Act as a technical focal point across multiple engineering teams, influencing technical direction and driving alignment without direct authority – building consensus through credibility and communication
Partner with Product to proactively shape the long-term roadmap, bringing technical perspective into strategic planning
Break down complex business and technical problems into clear system components, interfaces, and interactions
Define and uphold architectural principles across scalability, resilience, security, and operability
Architect and guide AWS-first platforms, including microservices, event-driven, and asynchronous systems
Establish strong API design, versioning, and data contract practices across the platform
Design, build, and run agentic GenAI systems in production, including orchestration, tool usage, planning, and state management
Define production-grade practices for AI systems: observability, evaluation, reliability, safety, and cost control
Drive architectural reviews, technical decision-making, and trade-off discussions
Partner closely with Engineering, Product, and Data Science to accelerate technical feasibility and delivery
Contribute to long-term technical strategy, platform evolution, and selective POCs where they create clear value.
You will act as a technical focal point across teams, driving architectural coherence, accelerating technical feasibility for products, and ensuring our systems are scalable, secure, and future-ready. This is a senior, impact-driven role for an architect who leads through deep technical expertise rather than people management.
Role – Key Responsibilities:
Own and evolve end-to-end architecture for large-scale, cloud-native platforms and distributed systems
Act as a technical focal point across multiple engineering teams, influencing technical direction and driving alignment without direct authority – building consensus through credibility and communication
Partner with Product to proactively shape the long-term roadmap, bringing technical perspective into strategic planning
Break down complex business and technical problems into clear system components, interfaces, and interactions
Define and uphold architectural principles across scalability, resilience, security, and operability
Architect and guide AWS-first platforms, including microservices, event-driven, and asynchronous systems
Establish strong API design, versioning, and data contract practices across the platform
Design, build, and run agentic GenAI systems in production, including orchestration, tool usage, planning, and state management
Define production-grade practices for AI systems: observability, evaluation, reliability, safety, and cost control
Drive architectural reviews, technical decision-making, and trade-off discussions
Partner closely with Engineering, Product, and Data Science to accelerate technical feasibility and delivery
Contribute to long-term technical strategy, platform evolution, and selective POCs where they create clear value.
Requirements:
All About You
10+ years of professional software engineering experience, with time in architecture-focused roles
Proven track record designing and operating large-scale distributed systems in production
Strong, hands-on AWS experience (required)
Deep knowledge of cloud-native and backend systems: microservices, APIs, events streaming, data flows
Hands-on experience building and running agentic AI / GenAI systems in production (required)
Including LLM-based agents, tool usage, planning, and stateful workflows
Strong understanding of system design trade-offs, scalability, reliability, and operational concerns
Ability to clearly explain complex technical concepts to both technical and non-technical audiences
Strongly Preferred:
Experience with RAG-based, multi-agent, or autonomous/semi-autonomous agent systems
Experience integrating AI systems with existing platforms and APIs
Background working closely with Data Science and ML teams
Experience influencing architecture across multiple teams and products
Familiarity with data platforms and pipelines (e.g., streaming, analytics, ML data flows).
All About You
10+ years of professional software engineering experience, with time in architecture-focused roles
Proven track record designing and operating large-scale distributed systems in production
Strong, hands-on AWS experience (required)
Deep knowledge of cloud-native and backend systems: microservices, APIs, events streaming, data flows
Hands-on experience building and running agentic AI / GenAI systems in production (required)
Including LLM-based agents, tool usage, planning, and stateful workflows
Strong understanding of system design trade-offs, scalability, reliability, and operational concerns
Ability to clearly explain complex technical concepts to both technical and non-technical audiences
Strongly Preferred:
Experience with RAG-based, multi-agent, or autonomous/semi-autonomous agent systems
Experience integrating AI systems with existing platforms and APIs
Background working closely with Data Science and ML teams
Experience influencing architecture across multiple teams and products
Familiarity with data platforms and pipelines (e.g., streaming, analytics, ML data flows).
This position is open to all candidates.
