Hatch IT - Principal Engineer, API & MCP Platform
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Requirements
• 10+ years of software engineering experience • Experience operating at Principal Engineer or Staff+ level • Strong hands-on experience building distributed systems • Experience designing and building API-first platforms • Experience with cloud-native architectures (GCP preferred) • Experience building developer platforms or service-oriented architectures • Strong system design and architectural thinking skills • Proven ability to lead cross-team technical initiatives • Hands-on work with Google Cloud Platform (GCP) • Familiarity with Vertex AI Agent Engine • Background in ADK and reasoning frameworks such as LangChain • Understanding of the Model Context Protocol (MCP) • Exposure to data warehouse technologies like BigQuery and Snowflake • Knowledge of Apigee or similar API gateway solutions • Proven ability to design semantic APIs for AI or agent-driven use cases • Experience managing context or building memory systems • Development of agent-based architectures or orchestration frameworks • Exposure to Anti-Gravity • What success looks like: • Assess current API and platform architecture • Define API and MCP platform strategy • Identify early opportunities for standardization • Deliver initial platform frameworks and standards • Begin rollout of semantic API patterns • Establish MCP integration approach • Agent-ready APIs in production • MCP-enabled services deployed • Clear platform standards adopted across teams • Measurable improvement in API consistency and developer velocity • $220,000 - $250,000 a year • We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
Responsibilities
• Partner closely with Architecture to define and lead Babel Street’s API and MCP platform strategy • Design and deliver semantic, agent-ready APIs • Establish MCP standards and implementation patterns • Define context management patterns for agent workflows • Partner with AI and Data teams to enable agent-native architectures • Establish API governance and platform standards • Build foundational frameworks and reusable components • Provide hands-on technical leadership and mentorship • Partner with Google and other vendors on platform capabilities • Drive adoption of API and MCP standards across engineering teams
Benefits
• This role will be instrumental to Babel Street’s AI-native technology strategy. The API and MCP platform will serve as the interface layer between data, AI, and product capabilities, enabling agents, developers, and systems to interact seamlessly.
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