Software Consulting Engineer (Core Systems)

Quick Facts

• Role: Software Consulting Engineer (Core Systems)

• Focus: Hands-on backend engineering and system design across an enterprise platform

Description

You will design and implement critical server-side functionality across component boundaries, translating ambiguous goals into practical designs and interfaces. The role includes end-to-end investigation of issues across services, and ongoing accountability after release to improve reliability and maintainability. Agentic AI development is central: you will use AI coding agents for prototyping and implementation while personally reviewing and verifying the systems you build.

Responsibilities

• Design across component boundaries: define interfaces, evaluate tradeoffs, and consider wider system effects

• Build robust server-side services: correctness, performance, scalability, security, and operational visibility

• Investigate end to end: trace requests/data/failures across components and drive lasting improvements

• Rapid AI-assisted prototyping: use AI tools to validate feasibility before production-quality implementation

• Move between design and code: prototype, implement critical code, review changes, and validate with tests/measurements

• Use AI agents effectively: break work into tasks, provide context, review generated changes, and verify failure scenarios

• Learn unfamiliar systems: use code, documentation, experiments, AI tools, and collaboration

• Evolve software thoughtfully: improve maintainability, manage rollout and compatibility, and control operational risk

• Contribute across the stack: work with APIs, client integrations, and user interfaces when needed

• Provide hands-on technical leadership: coordinate across teams and mentor peers

Requirements

• Substantial hands-on software engineering experience with demonstrated ownership of production systems

• Strong system design skills across multiple components (interfaces, dependencies, data flows, scalability, reliability, security, maintainability)

• Deep backend engineering in at least one language: Go, Rust, Node.js/TypeScript, Java

• Effective debugging and performance investigation

• Practical understanding of distributed systems and failure recovery; concurrency and asynchronous communication

• Experience with databases, caching, cloud platforms, containers, and messaging (Kafka, NATS, or comparable)

• Experience with automated testing, deployment, observability, and production troubleshooting

• Practical use of AI coding agents for substantial engineering work, with ability to explain decisions and independently verify results

• Curiosity and initiative to learn unfamiliar technologies beyond a single component

• Clear communication and collaboration across engineering teams

• Authorization to work in the United States without visa sponsorship

Benefits

• Pay range: $179,127 to $234,100 + benefits (includes anticipated bonus)

• Support for growth and ongoing production ownership through the team community