2 дня назад
Senior Software Engineer - Cloud Platform Engineering (AI)
141 000 - 185 000$
Мэтч & Сопровод
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Описание вакансии
Текст:
TL;DR
Senior Software Engineer - Cloud Platform Engineering (AI) (Cloud infrastructure, databases, and AI applications): Building application layers, APIs, automation tooling, and cloud infrastructure for a multi-cloud relational Database-as-a-Service platform with an accent on Terraform orchestration, distributed systems, and data-intensive AI workflows. Focus on designing production-grade services across AWS, Azure, and GCP, integrating vector databases and LLM agent frameworks, and implementing secure, observable database applications.
Location: Remote - US
Salary: $141,000–$185,000 annual base salary
Company
develops Cloud, a multi-cloud Database-as-a-Service platform for managing open-source relational databases with continuous availability, autonomous operation, and serverless capabilities.
What you will do
- Design and implement application layers, business logic, API workflows, and cloud-native services for a globally deployed relational database platform.
- Own features end to end, from functional specification and architecture through implementation, deployment, and production operation.
- Build and operate infrastructure across AWS, Azure, and GCP using Terraform, Kubernetes, Docker, and automated CI/CD pipelines.
- Develop cloud-native applications, controllers, and automation tooling with Python and a backend language such as Go, Java, or C++.
- Build AI applications and workflows using vector databases, embedding pipelines, semantic search, retrieval-augmented generation, and LLM agent frameworks.
- Implement secure and observable services with REST or gRPC APIs, authentication, authorization, tenant isolation, structured logging, distributed tracing, and alerting.
Requirements
- 5+ years of professional software development experience, including at least 2 years with data-intensive applications, database-adjacent features, or enterprise software.
- Production experience deploying, debugging, and managing services across at least two major public clouds, including AWS, Azure, or GCP.
- Strong Python proficiency for AI application development and high proficiency in at least one backend language, such as Go, Java, or C++.
- Practical expertise in relational databases, complex SQL, indexing, query optimization, transactions, schema design, temporal data, event tracking, and audit logs.
- Experience with vector databases, embedding pipelines, semantic search, RAG systems, and AI agent frameworks such as LangChain, LangGraph, CrewAI, or AutoGen.
- Applicants must be based in the United States; visa sponsorship and relocation are not provided.
Nice to have
- Open-source contributions in database, AI/ML application, or agent-tooling ecosystems.
- Experience with MCP servers, A2A protocols, agent memory frameworks, graph databases, semantic caching, or in-memory data grids.
- Experience packaging applications for on-premises or air-gapped regulated environments.
- Knowledge of or MySQL application development and system-versioned tables.
Culture & Benefits
- Small, high-ownership team with direct visibility into engineering strategy.
- Flexible remote work environment with a high degree of autonomy.
- Health, life, and disability insurance, paid holidays, parental leave, and flexible paid time off.
- 401(k) and funding for professional development resources.
- Inclusive workplace focused on diverse experiences and perspectives.
Hiring process
- Submit an application and CV or resume through the careers site.
- Accommodations are available during the application and interview process upon request.
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