Senior Software Engineer, Product

This is a fully remote position, open to applicants in United States.

📋 Description

• We are creating small, highly skilled engineering teams (comprising 2–3 engineers) that take ownership of issues from start to finish and swiftly transition from concept to production.

• This position is intended for engineers who are adept at working across the entire stack and utilizing modern AI-driven workflows to enhance delivery speed.

• This role is part of our Core Products team, responsible for developing and maintaining the tools that Crosslake practitioners employ to manage assessments and deliver outcomes to clients.

• You will be expected to design, develop, and deploy software with minimal handoffs—collaborating across frontend, backend, and infrastructure as necessary.

⛳️ Requirements

• A minimum of 7 years of experience in software engineering.

• Strong full-stack capabilities, including frontend, backend, and cloud infrastructure.

• Ability to assume an architectural role when required.

• Experience in deploying and managing applications in cloud environments such as AWS, Azure, or GCP.

• Comprehensive understanding of the full Software Development Life Cycle (SDLC).

• Extensive experience with AI coding tools, utilizing them daily.

• Practical experience with AI-assisted development tools that extend beyond basic code generation.

• Capacity to integrate AI throughout the workflow (e.g., in prototyping, debugging, test generation, quality assurance, code review, and security analysis).

• Familiarity with contemporary AI-driven development environments and methodologies.

• Proficiency in Infrastructure as Code (e.g., Terraform).

• Knowledge of CI/CD processes and modern DevOps practices.

• Significant experience with one or more programming languages: Python, Typescript, Golang, or Rust.

• Experience in deploying and maintaining applications within the AWS ecosystem.

• Background in AI engineering, specifically in constructing agentic workflows in products that balance efficiency and quality (e.g., Pydantic AI, CrewAI, LangGraph, etc.).

🏝️ Benefits

• Design and develop full-stack applications from initial concept through to production.

• Take ownership of the entire SDLC: design, development, testing, deployment, and iteration.

• Collaborate within a small team to deliver swiftly while enjoying a high level of autonomy.

• Contribute to architectural decisions and make practical technical choices.

• Utilize AI tools to enhance development, testing, and code quality.

• Iterate rapidly while upholding a strong standard for reliability and maintainability.