Senior Engineer

As a Senior Engineer on the team, you will own systems end-to-end across a high-volume, event-driven surface. You'll build the APIs and services behind key initiatives including:

• The driver comms platform, the rules engine, cohorting, and scheduling that reach drivers across SMS, push, and email.
• The onboarding funnel and applicant tracking layer, architected to support Veho's move to an in-house system over time.
• Live selling workflows that turn live offer and market-clearing data into well-timed, well-targeted driver outreach.

You'll partner closely with Product, Design, Operations, and Data Science to ship tooling that scales with Veho's growth.

Responsibilities:

• Design, build, test, and deploy features across the driver-facing apps (driver mobile app, onboarding and registration surfaces), our GraphQL APIs, and the event-driven services behind them.
• Own a problem end to end: write the design doc your team works from, build it, roll it out behind a feature flag, and stay on it after launch until it is stable
• Own the driver comms platform: the rules engine, cohorting, and scheduling that decide when to reach a driver over SMS, push, or email, and the delivery services behind it.
• Build the onboarding funnel and applicant tracking layer: registration and set-password flows, consent and eligibility gating, and the integrations that track where every applicant sits in the funnel.
• Build live selling workflows that consume live offer data and market-clearing signals to notify the right driver cohorts only when routes are actually claimable.
• Contribute to architectural decisions and technical design for complex, distributed systems, and architect today's comms and onboarding infrastructure so it supports the eventual in-house replacement of our third-party ATS rather than becoming throwaway work.
• Break a project into milestones your product, design, ops, and data partners can plan against.
• Write correctness-first code in an event-driven system where delivery is at-least-once and no driver may be texted twice about the same route and where a send must never fire when there is no offer to claim.
• Improve reliability and observability in the services you own, with alerts that fire on real problems and stay quiet otherwise, so an on-call engineer is paged for a broken send pipeline and not for noise.
• Propose the engineering work your team should be doing, including the reliability, data-quality, and compliance work nobody is asking for.
• Use AI-native development workflows and tooling (Claude Code, Cursor, Copilot, and similar) as part of how you ship.
• Mentor the engineers around you, keep the team's code review bar high, and write down what you learn.

Requirements:

• 5-7+ years of experience building, testing, and deploying applications in high-traffic production environments.
• Depth in AWS serverless, including Lambda, a managed GraphQL layer such as AppSync, DynamoDB, EventBridge, and SQS.
• Experience with event-driven systems and the idempotency work that comes with at-least-once delivery, especially in a comms context where duplicate or misfired messages reach real people.
• Strong full-stack experience with TypeScript, Node.js, GraphQL, and React.
• Experience with DynamoDB single-table design.
• Experience integrating with third-party platforms and their webhooks, and keeping the data they produce in sync and trustworthy across services.
• At least one project owned through production rollout, including what broke afterwards and who fixed it.
• Experience operating a service in production long enough to own its failure modes.
• Judgment about what a design costs in engineering time, dollars, and vendor commitment.
• A self-starter mindset with the ability to move quickly and ship iteratively, including on migrations, compliance obligations, and the manual steps nobody has automated yet.
• Enthusiasm for working closely with product, design, operations, data science, and support partners.
• Tech Stack: AWS, TypeScript, Node.js, React, React Native, GraphQL, DynamoDB, serverless event-driven architecture; multi-channel comms (SMS, push, email); Firebase Auth; Statsig for experimentation; Redshift/Databricks-backed data pipelines.

Preferred:

• Experience with applicant tracking/recruiting funnels or other funnel-driven onboarding systems, and the drop-off analysis that improves them.
• Experience with experimentation and analytics infrastructure (Statsig, Fivetran, Redshift, Databricks) to measure and tune what you ship.
• Consent modelling and compliance obligations (e. g., driver terms-and-conditions and messaging consent) that span services.
• Tech Stack: AWS, TypeScript, Node.js, React, React Native, GraphQL, DynamoDB, serverless event-driven architecture.