Senior Software Engineer, Product

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Crosslake Technologies

Site WebLinkedInTous les Emplois

201 - 500 employés

💼 Conseil

💸 Finance

Consulting • Finance • Technology

Crosslake Technologies est un cabinet de conseil mondial qui se spécialise dans le service aux investisseurs en capital-investissement et à leurs entreprises de portefeuille. L'entreprise se concentre sur la due diligence technologique, la stratégie de transformation numérique, et la création de valeur technologique. Crosslake Technologies offre des conseils en leadership exécutif tout au long du cycle de vie des investissements en capital-investissement, en apportant son expertise en sécurité, architecture, alignement de l'ingénierie, et processus du cycle de vie du développement logiciel (SDLC). Ils fournissent également des rôles de leadership intérimaires pour les CTO, CISO, CIO, et ingénieurs en chef. Leur plateforme propriétaire délivre des insights exploitables pour guider les décisions technologiques critiques, informés par des données issues de plus de 4 000 transactions de M&A technologiques. Leur mission est de soutenir le capital-investissement à travers le cycle de vie des investissements M&A en optimisant la technologie et en créant de la valeur dans les opérations de portefeuille.

Description

• 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.

🎯 Exigences

• 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.)

🏖️ Avantages

• 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