Job SummaryThis is a remote role within the United States.As a Software Engineer V, you set technical direction. You own architecture that spans teams - designing the systems others build within - and you are accountable for technical outcomes delivered through others as well as by your own hands. You define the problems as much as you solve them: turning ambiguous business goals into technical strategy, sequencing multi-quarter initiatives, and making the build-vs-buy and migration calls that shape the platform for years.
You are still hands-on. You prototype the risky parts, write the critical-path code, and stay close enough to production reality that your designs survive contact with it. And you shape how we test and learn at scale - building platforms where experimentation is cheap, so every team can iterate on price display, communications, chat, and beyond with real customer data.
A Day in the Life- Technical Direction: Own the target architecture for a platform or domain that spans multiple teams. Author and drive the technical proposals and design reviews that align engineers around it.
- Force Multiplication: Mentor senior engineers, not just early-career ones. Raise the bar org-wide through reusable patterns, standards, and incisive design review.
- Hands-On Delivery: Prototype novel or high-risk components and ship critical-path code. Your credibility comes from working software, not slides.
- Operational Excellence: Define SLOs and the reliability strategy for your domain. Lead retrospectives on major incidents and turn them into architectural improvements.
- Test and Learn at Scale: Shape the experimentation strategy for your domain and build systems that make running a test a config change, not a project.
- Momentum: We work in short cycles, code released in days, experiments read out weekly, priorities adjusting as results come in. You design the architecture that makes this speed safe - systems where shipping fast and shipping well are the same motion.
- Strategic Partnership: Work with Product, leadership, and across organizations to align technical strategy with the business roadmap; make and defend build/buy/migrate decisions.
Responsibilities- Architecture Ownership: Design and evolve systems spanning team boundaries; define the integration contracts and domain boundaries other teams build against.
- Migration Leadership: Plan and lead incremental, zero-downtime migrations off legacy systems while the business keeps running.
- Technical Risk Management: Identify the riskiest assumptions in a multi-quarter initiative early, and design spikes and milestones that retire them fast.
- Engineering Standards: Own key parts of the software design process, review culture, and production-readiness bar across your domain.
- Hiring Bar: Help design interview loops and calibrate the technical bar for senior hires.
Our Tech Stack- Front-end: React, Vite, Next.js, TypeScript.
- Back-end: Kotlin, Spring Boot, PostgreSQL.
- Cloud & Infrastructure: Microsoft Azure (Kubernetes, Functions, Front Door), Docker, Helm.
- Data & Analytics: Snowflake, Salesforce CDP.
- Experimentation & Observability: Eppo, Datadog.
- DevOps: Azure DevOps (ADO), Pipelines.
- AI Tooling: Cursor, Claude.
QualificationsBasic Qualifications- Education: Bachelor's degree in Computer Science, Engineering, or a related technical field (or equivalent experience).
- Experience: 8+ years of professional software engineering experience, including leading multi-quarter technical initiatives that spanned multiple teams.
- Distributed Systems: A track record of designing, operating, and evolving distributed systems in production at meaningful scale.
- Cloud Architecture: Deep expertise in cloud-native architecture (Azure preferred): microservices, eventing, API design, and the failure modes of each.
- Design Communication: Exceptional written design skills - you can align a dozen engineers through a document.
Preferred Qualifications- Experience as the founding or lead architect of a platform other teams build on.
- Experience with data-warehouse-native experimentation (Snowflake) and observability at scale (Datadog).
- Fluency with AI-assisted development workflows (e.g., Cursor).
