Sr. Software Engineer - Platform Engineering

Wonder Group•New York, NY

2d•Hybrid

About The Position

Wonder is seeking a Senior Software Engineer to join the new Developer Experience & AI Velocity team. This team is responsible for owning the developer experience for Wonder Engineering, leveraging AI as a primary tool. The team builds the tools, integrations, and practices that enable engineers to ship faster, with less overhead, and controlled costs. This role will focus on AI coding tools, establishing toolchains, workflows, and golden paths for the engineering organization, starting with code review at scale, context infrastructure for AI agents, and AI-assisted paths for well-understood engineering work. The Senior Software Engineer will design and build solutions to address context fragmentation, MCPs/CLIs, skills, sub-agents, and integrations connecting AI tooling to Wonder's codebases and systems, as well as AI-assisted workflows for code generation, review, testing, documentation, refactoring, and on-call/incident management. The ideal candidate will bring proven AI-tooling developer patterns and practices from outside Wonder. This role involves close collaboration with other engineers on the team, as well as platform, infrastructure, and application teams.

Requirements

Bachelor's or Master's degree in Computer Science or a related field, or equivalent practical experience
5+ years of professional software engineering experience, including recent, hands-on work building with or on top of LLM-based tooling (agents, MCP servers, coding assistants, or similar).
Direct experience integrating AI tools into real development workflows — code review, testing, code generation, or documentation — beyond individual use as an end user.
Strong system design skills and a track record of owning tools or platforms end-to-end, from design through adoption.
Comfort operating with ambiguity: this is a new team without established playbooks, and you'll be shaping them.
Experience designing and consuming APIs, webhooks, or other integration/message-based systems.
Experience building developer tooling, internal platforms, CI/CD systems, or other software used by engineers as its primary users.
A pragmatic approach to problem solving and the ability to troubleshoot complex technical obstacles.
Excellent communication and interpersonal skills, including the ability to drive technical discussions with engineers and leaders across multiple teams.

Nice To Haves

Experience with Java/JVM and/or Python is a plus, though not required.

Responsibilities

Build AI-Native Developer Tooling: Design and ship Context aggregation solutions, MCPs/CLIs, skills, and sub-agents that give AI coding tools sanctioned, reliable access to Wonder's codebases, services, and systems.
Help define and stand up Wonder's autonomous development agents and cloud agent solutions.
Bring Outside Patterns In: Bring a sharp point of view on where AI-assisted development actually creates leverage across review, testing, code generation, and documentation, and translate the best emerging practices into standards that fit Wonder's stack, scale, and constraints.
Raise the Ceiling on Review: Contribute to pre-review and triage tooling that clears and automates mechanical and policy issues before a human looks, and help define standards for reviewing AI-generated code.
Instrument for Efficiency, Not Just Adoption: Design and implement the systems that optimize AI costs across the org and abstract model selection away from engineers' day to day, so the platform routes each task to the right model at the right cost without every engineer having to reason about it.
Help define and measure Developer velocity.
Guide Technical Outcomes: Scope, design, and ship developer tooling with minimal oversight, weighing tradeoffs and partnering with platform, infrastructure, and application teams to land it in production.
Communicate Effectively: Write clear specs and documentation, and provide, seek, and incorporate feedback from a team and organization still defining its own practices.