Sr. Software Engineer - Platform Engineering at Wonders in New York, NY

Job description

• Developer Experience & AI Velocity is a new team chartered to own developer experience for Wonder Engineering — 400+ engineers across multiple converging organizations — with AI as the primary lever. We build the tools, integrations, and practices that let engineers ship faster, with less overhead and controlled costs.
• AI coding tools are now a primary interface for writing, reviewing, testing, and debugging software at Wonder, but adoption so far has been left to individual engineers with no team officially owning the space. We're changing that: standing up the toolchains, workflows, and golden paths that a combined engineering org will run on, starting with code review at scale, context infrastructure for AI agents, and AI-assisted paths for well-understood engineering work.
• We're looking for a Senior Software Engineer to help stand up this team from its earliest days and bring AI-enabled development practices to Wonder Engineering. You'll design and build solutions to solve context fragmentation, MCPs/CLIs, skills, sub-agents, and integrations that connect AI tooling to Wonder's codebases and systems, and the AI-assisted workflows — code generation, review, testing, documentation, refactoring, on-call/incident management — that engineers use every day.
• This person brings proven AI-tooling developer patterns and practices from outside Wonder that we haven't yet discovered internally. You'll partner closely with the team's other engineers across the company, each of whom owns a distinct part of the developer-experience surface area, and with the platform, infrastructure, and application teams whose workflows you're improving.

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.

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

Skills

Required

• System design
• API design and consumption
• Webhooks
• Integration/message-based systems
• Developer tooling
• Internal platforms
• CI/CD systems
• Java/JVM
• Python

Benefits

• The benefits applicable to this role include a competitive compensation package with equity and a 401(k). We also offer a choice of medical, dental, and vision plans, company paid short and long term disability coverage, paid time off including flexible time off for exempt employees, paid vacation for non-exempt employees, and paid sick leave in compliance with applicable law in addition to paid parental leave, discounted meals and exclusive perks across the Wonder family of brands.
• Eligibility, effective dates, and available plan options vary by employment classification and location. To learn more about benefits for this role, visit our Careers page here.
• New York: $176,000 - $191,000 per year.
• Wonder uses geographic-specific salary structures, which means the salary offered may vary depending on where the job is located. The final salary offer will take into account various factors, such as the candidate's skills, education, training, credentials, and experience.