Senior Software Engineer, Operations Tools & Al Enablement
Serve Robotics · USA
About this role
## Senior Software Engineer — Operations Tools & AI Enablement Serve Robotics is reimagining how things move in cities with a personable sidewalk robot that helps deliver packages away from congested streets. The Serve fleet supports commercial deliveries and delights merchants, customers, and pedestrians across major U.S. cities. We’re looking for a proactive engineer with a product and entrepreneurial mindset to build and maintain practical software that makes **Robotics Operations** more effective—turning everyday friction into reliable tools that scale. --- ## What you’ll do - **Discover needs before they become urgent** by proactively exploring Operations workflows, identifying recurring friction and emerging failure points, and proposing improvements early. - **Prioritize and deliver quick wins** by connecting opportunities to operational goals and choosing the smallest useful solution. - **Build iteratively with users**: ship small, useful changes, gather feedback early, and refine based on real usage. - **Own Operations applications** including internal tools, dashboards, automations, and integrations—some initially created with AI-assisted coding. - **Bring engineering discipline to AI-built software** by reviewing generated code, addressing security/reliability gaps, and adding tests, documentation, monitoring, and maintainable structure. - **Develop across the stack** with an **Elixir-heavy** primary system (previous Elixir experience not required, but you must be ready to learn quickly) and services on **Google Cloud Platform (GCP)**. - **Drive cross-functional execution** by aligning Operations and Engineering on needs, owners, dependencies, and tradeoffs—and following through to completion. - **Stay accountable after launch** by supporting production software, investigating failures, and ensuring improvements reduce operational friction and/or improve delivery quality. --- ## Key responsibilities (job duties) - Proactively explore workflows and propose improvements before escalation is needed. - Make clear recommendations on what to build, improve, reuse, or leave alone. - Keep scope focused while ensuring solutions are safe and fit for intended use. - Diagnose issues, resolve bugs, and keep tools working as dependencies and requirements evolve. - Anticipate the effects of API/schema/authentication/platform changes on Operations tools. - Champion practical AI adoption with safe, repeatable practices and appropriate human review. --- ## Experience & qualifications - **5+ years** of professional software engineering experience with ownership of shipped software. - Strong production coding capability: design, implement, test, debug, deploy, and maintain applications. - Ability to understand and improve unfamiliar codebases (including AI-assisted code). - **Google Cloud Platform (GCP)** experience: build, deploy, or support applications/services and troubleshoot in a cloud environment. - Ability to learn and contribute across languages; **Elixir learning is expected**. - Experience building useful applications/internal tools/automations/integrations for business or operational users. - Proactive, self-starting approach and strong product judgment. - Sound judgment around testing, code review, access controls, sensitive data, dependency management, observability, and production support. - Ability to work directly with non-engineering users, clarify ambiguous requests, explain tradeoffs, and turn feedback into working im
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