Remote Senior Software Engineer, Tooling
grabjobsSanta Clara (CA)
Remote Senior Software Engineer, Tooling
Posted 45 days ago
grabjobsSanta Clara (CA)
SENIORITY
Lead
About the role
Full Stack Engineer, Tooling(this role is US based remote, all candidates must be authorized to work in the United States without restriction) What we believe In the past few years, private equity investors have invested more than a trillion dollars in software and tech-enabled companies. And in many cases, the underlying tech is the greatest enabler to the business strategy. But has the approach to govern technology value creation caught up to the magnitude of the risk? We believe a better way is possible – a more programmatic, proactive approach to actively manage technology throughout the investment lifecycle – and that's what we do. Our role We know that technology can create truly transformative change, and its role in business is only growing. Crosslake is here to support the changemakers and help them buy, build and run better technology. What we value You could be a good fit for Crosslake if you see yourself reflected in our guiding values: Service. We effect change by empowering others. Curiosity. We believe great advice starts with deep understanding. Credibility. Our expertise is earned and proven. Commitment. It's our privilege to serve clients in their critical moments. Creativity. We are inspired by the constant pursuit of better.
Overview:
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.
What you'll do:
- 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
What we're looking for:
- 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 SDLCDeep experience with (i.e., daily usage of) AI coding toolsAI-Native Development
- 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
- Preferred Experience
- 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, RustBasic understanding of data engineering principles
- How we work
- 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
What success looks like:
- You ramp quickly and start contributing within weeks
- You identify inefficiencies and ship tools to address them
- You deliver simple solutions that meaningfully improve team productivity
- You avoid overbuilding and focus on practical outcomes
- You effectively use AI tools to increase speed and output
- Crosslake Technologies
Before you apply
Applying takes about a minute. These four things decide how fast it moves after that.
Your profile is current
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Two examples you can talk through
Not a portfolio — just two pieces of work where you can explain the decisions and what you'd change.
A number in mind
What you're on now and what would make you move. We negotiate better when we know both.
Your notice period
Employers plan around it, and it's the question that stalls offers most often.
Once you apply, someone reads it and calls you before anything reaches the employer — usually within two working days.