Senior Software Engineer, Tooling

Crosslake Technologies LLC

1d•Remote

About The Position

We’re building small, highly capable engineering pods (2–3 engineers) that own problems end-to-end and move quickly from idea to production. 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. Small teams, high ownership, minimal handoffs. Fast, iterative delivery over heavy process. Pragmatic decision-making over over-engineering. Engineers are expected to operate across the stack, not within silos. Many tools are short-lived or heavily iterated—impact matters more than longevity.

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

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
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