Senior Software Engineer, Product

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🕒 Junho 19

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Crosslake Technologies

SiteLinkedInTodas as Vagas

201 - 500 funcionários

💼 Consultoria

💸 Finanças

Consulting • Finance • Technology

A Crosslake Technologies é uma firma global de consultoria especializada em atender investidores de private equity e suas empresas de portfólio. A empresa foca em due diligence de tecnologia, estratégia de transformação digital e criação de valor em tecnologia. A Crosslake Technologies oferece consultoria de liderança executiva ao longo do ciclo de investimento em private equity, oferecendo expertise em segurança, arquitetura, alinhamento de engenharia e nos processos de Ciclo de Vida de Desenvolvimento de Software (SDLC). Eles também fornecem funções de liderança interina para CTOs, CISOs, CIOs e engenheiros chefes. Sua plataforma proprietária oferece insights acionáveis para guiar decisões críticas de tecnologia, informadas por dados de mais de 4. 000 transações de M&A em tecnologia. Sua missão é apoiar o private equity ao longo do ciclo de investimento M&A, otimizando a tecnologia e criando valor nas operações do portfólio.

Descrição

• 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 Core Products team, which builds and maintains the tools Crosslake practitioners use to manage assessments and deliver results to clients. • You’ll be expected to design, build, and ship software with minimal handoffs—working across frontend, backend, and infrastructure as needed.

🎯 Requisitos

• 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 harnesses • 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) • Familiarity with modern AI-enabled development environments and practices • Infrastructure as Code (e.g., Terraform) • CI/CD and modern DevOps practices • Extensive experience with one or more of the following languages: Python, Typescript, Golang, Rust • Experience with deploying and maintaining applications in the AWS ecosystem • Experience with AI engineering – building agentic workflows into products that balance efficiency and quality (e.g., Pydantic AI, CrewAI, LangGraph, etc.)

🏖️ Benefícios

• Design and build full-stack applications from concept to production • Own the full SDLC: design, development, testing, deployment, and iteration • Work within a small pod to deliver quickly with a high degree of autonomy • Contribute to architecture and make pragmatic technical decisions • Use AI tools to accelerate development, testing, and code quality • Iterate rapidly while maintaining a strong bar for reliability and maintainability