Senior Software Engineer, Tooling

Crosslake Technologies LLC
Remote

About The Position

This role is for engineers who are comfortable operating across the full stack and using modern AI-enabled workflows to accelerate delivery. This role is part of our Tooling team, focused on rapidly building lightweight internal tools that improve how Crosslake teams work. These tools are typically narrow in scope and designed to be created, tested, and deployed quickly. The emphasis is on speed, usefulness, and iteration over long-term productization. You’ll be expected to design, build, and ship software with minimal handoffs—working across frontend, backend, and infrastructure as needed. This role prioritizes speed and iteration, with a focus on delivering immediate value.

Requirements

  • 7+ years of software engineering experience
  • Strong full-stack capability (frontend, backend, and cloud infrastructure)
  • Comfortable stepping into an architectural role when needed
  • Experience deploying and operating applications in cloud environments (AWS, Azure, or GCP)
  • Solid understanding of the full SDLC
  • Deep experience with (i.e., daily usage of) AI coding tools
  • Hands-on experience using AI-assisted development tools beyond basic code generation
  • Ability to leverage AI across the workflow (e.g., prototyping, debugging, test generation, QA, code review, security analysis)
  • Experience combining AI with automation/orchestration to streamline workflows and reduce manual effort
  • Familiarity with modern AI-enabled development environments and practices

Nice To Haves

  • Infrastructure as Code (e.g., Terraform)
  • CI/CD and modern DevOps practices
  • Experience with workflow automation/orchestration tools (e.g., n8n, Zapier, Temporal, Airflow)
  • Experience integrating SaaS tools and APIs (Slack, Notion, Jira, etc.)
  • Comfort building lightweight internal UIs (dashboards, admin panels, etc.)
  • Experience with one or more of the following languages: Python, TypeScript, Golang, Rust
  • Basic understanding of data engineering principles

Responsibilities

  • Design and build small, high-impact full-stack tools from concept to deployment
  • Own the full SDLC: design, development, testing, deployment, and iteration
  • Work within a small pod to deliver quickly with a high degree of autonomy
  • Rapidly prototype and validate solutions with internal stakeholders
  • Integrate with third-party tools, APIs, and internal systems
  • Make pragmatic technical decisions appropriate for fast-moving tools
  • Use AI tools to accelerate development, testing, and code quality
  • Continuously refine, replace, or retire tools based on usage and feedback
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