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Описание вакансии
Текст:
TL;DR
Senior Engineer - Cloud (AI): Building and maintaining highly scalable backend systems that process customer data from diverse sources and provide visibility into SaaS security posture, risks, and gaps with an accent on Python cloud systems, distributed processing, and AI-assisted engineering. Focus on scaling services, developing internal Claude Code tooling and MCP integrations, and operating reliable systems across design, deployment, monitoring, and production support.
Location: Hybrid, open to candidates in the Israel area; Tel Aviv office
Company
Cybersecurity product company building an AI-native platform and SaaS Security Posture Management solutions that help enterprises secure their SaaS ecosystems.
What you will do
- Develop and maintain highly scalable backend systems that process customer data from diverse sources.
- Design, build, optimize, deploy, maintain, and monitor services that provide insight into security posture, risks, and gaps.
- Use Claude Code for feature planning, coding, testing, code review, profiling, benchmarking, and production investigation.
- Build internal AI tooling, including Claude Code skills, plugins, MCP servers, hooks, and project context.
- Own software quality, including reviewing, verifying, and testing AI-generated code.
- Collaborate with Product, Customer Success, Support, and other engineering teams while keeping services healthy.
Requirements
- 4+ years of backend cloud systems development experience with a high-level language, including 3+ years with Python.
- Experience working on large-scale systems and handling scaling issues.
- Hands-on experience using AI coding agents such as Claude Code, Cursor, or Copilot in daily development.
- Strong engineering judgment for directing AI agents and critically reviewing their output.
- Experience using AI technologies to improve decision-making, workflows, efficiency, and business outcomes.
- Bachelor's degree or equivalent experience, with proficiency in algorithms, data structures, and code whiteboarding.
Nice to have
- Deep familiarity with Python internals.
- Experience with MongoDB, Parquet, DuckDB, or microservice infrastructure.
- Experience extending AI coding tools or building MCP servers.
- Experience with context engineering, prompt design, build debugging, code review, or operations.
Culture & Benefits
- High-trust, distributed working environment with autonomy and flexibility to manage time.
- Collaborative, inclusive, and diverse culture with opportunities for mentoring and learning.
- Competitive compensation and equity awards.
- Wellness programs, vacation and holidays, and paid parental and adoption leave.
- Professional development opportunities, employee networks, volunteer opportunities, and office amenities.
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