Senior Software Engineer - Cloud Platform Engineering

This role offers the opportunity to build robust cloud infrastructure supporting a globally deployed relational database platform. You will work on application layers, business logic, APIs, and automation at the intersection of data management, cloud operations, and database services. The position combines hands-on software engineering with deep cloud orchestration across multiple public cloud environments. You will take ownership of features end to end, from technical design and implementation through deployment and production operations. The team operates with a lean structure and high individual ownership, giving engineers direct influence over architecture and engineering strategy. You will contribute to production-grade systems designed for reliability, scalability, security, and enterprise use.

• 5+ years of professional software development experience, including at least 2 years focused on data-intensive applications, database-adjacent functionality, or enterprise software.
• Deep experience with distributed systems and cloud-native architecture, with a track record of building and operating production infrastructure at scale.
• Hands-on production experience deploying, debugging, and managing application services across at least two major public cloud platforms, with AWS, Azure, and GCP experience strongly relevant.
• Advanced proficiency with Terraform and Infrastructure as Code, including complex cloud orchestration and reproducible deployments.
• Strong experience with Kubernetes, Docker, and production-grade containerized environments.
• Strong proficiency in Python for AI and cloud application development, together with advanced expertise in at least one backend language such as Go, Java, or C++.
• Demonstrated expertise with relational databases, including complex SQL, indexing, query optimization, transactions, schema design, and temporal data models.
• Experience designing and implementing REST and/or gRPC APIs for external consumers or frontend systems.
• Experience with application security fundamentals, including authentication, authorization, RBAC, row-level security, and multi-tenant data isolation.
• Experience building or integrating vector databases, embedding pipelines, semantic search, or retrieval-augmented generation systems.
• Prior experience developing LLM-based applications or workflows using AI agent frameworks such as LangChain, LangGraph, CrewAI, AutoGen, or equivalent technologies.
• Strong understanding of application monitoring, structured logging, distributed tracing, and alerting practices.
• Demonstrated ability to take ownership of complex engineering initiatives and deliver production-ready solutions with limited supervision.
• Strong analytical, problem-solving, communication, and collaboration skills, with an ownership-oriented approach to engineering.
• A Bachelor’s or Master’s degree in Computer Science or a related technical field is preferred.
• Experience contributing to open-source projects in databases, AI/ML applications, or agent tooling is a plus.
• Experience developing MCP servers or integrating A2A protocols into production systems is advantageous.
• Familiarity with agent memory frameworks such as Mem0, Graphiti, or Letta is beneficial.
• Experience with graph databases, multi-hop graph traversal, semantic caching, or in-memory data grids such as Redis is a plus.
• Experience packaging applications for on-premises or air-gapped environments, including regulated infrastructure, is advantageous.
• Knowledge of MariaDB or MySQL application development, system-versioned tables, or temporal SQL is a plus.
• U.S. citizenship is required due to requirements associated with federal government contracts supported by the position.
• Must be legally authorized to work in the United States without visa sponsorship, transfer, or extension.