Senior Software Engineer (Product)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
TL;DR
Senior Software Engineer (Product) (Fullstack/AI): Designing and building internal tools for technology value creation in private equity with an accent on AI-native development and full-stack ownership. Focus on creating agentic workflows, optimizing the SDLC via AI tools, and delivering production-ready features in rapid cycles.
Location: Must be based in the US and authorized to work in the United States without restriction
Company
helps private equity investors proactively manage technology value creation throughout the investment lifecycle.
What you will do
- Design and build full-stack applications from concept to production.
- Own the full SDLC, including design, development, testing, and deployment.
- Operate within small, autonomous engineering pods to deliver features rapidly.
- Contribute to system architecture and make pragmatic technical decisions.
- Leverage AI-assisted tools and harnesses to accelerate development and ensure code quality.
Requirements
- 7+ years of software engineering experience.
- Must be based in the US and authorized to work in the United States without restriction.
- Strong full-stack capability across frontend, backend, and cloud infrastructure.
- Experience deploying and operating applications in AWS, Azure, or GCP.
- Deep, daily experience with AI coding harnesses and AI-assisted development workflows.
- Solid understanding of the full software development life cycle (SDLC).
Nice to have
- Experience with Infrastructure as Code (e.g., Terraform).
- Proficiency in Python, TypeScript, Golang, or Rust.
- Experience building agentic workflows (e.g., Pydantic AI, CrewAI, LangGraph).
- Deep familiarity with the AWS ecosystem and modern DevOps/CI/CD practices.
Culture & Benefits
- High-ownership environment with minimal handoffs and silos.
- Emphasis on fast, iterative delivery over heavy corporate process.
- Small, highly capable engineering pods (2–3 people).
- Pragmatic approach to decision-making to avoid over-engineering.
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