AI Lead Engineer
Job Location:
Sunnyvale, CA - USA
Monthly Salary:
Posted on:
Vacancies:
Job Summary
Responsibilities / Experience:
- Lead service rationalization and decomposition across complex enterprise ecosystems
- Design and build API-first event-driven architectures
- Contribute hands-on to domain services integrations and POCs
- Enable service reuse through catalogs standards and governance
- Drive incremental legacy modernization (strangler pattern)
- Partner across global teams to influence a platform-first mindset
- Build systems ready for AI agents automation workflows and future integrations
Qualifications/Required Skills:
1. Strong Engineering & Architecture Execution (10 years)
- Deep hands-on experience building and delivering production-grade systems in enterprise environments
- Expertise in microservices APIs (REST/GraphQL) event-driven architecture (Kafka) and cloud platforms (AWS/Azure/GCP)
- Proven ability to move between architecture design hands-on coding and leading engineering teams with a pragmatic delivery-focused mindset
2. Service Decomposition & Enterprise Modernization
- Strong experience with domain-driven design (DDD) service decomposition and distributed system design
- Hands-on track record breaking down monoliths/fragmented systems into reusable service layers
- Experience leading modernization efforts using incremental approaches (e.g. strangler pattern) with a focus on reuse scalability and clean service boundaries
3. MCP Servers & Gen AI / Agent-Based Systems
- Proven experience building MCP server-based solutions and Gen AI agents from concept through production
- Strong understanding of designing systems for an agentic AI-driven ecosystem
- Ability to integrate AI into service architectures and make platforms agent-ready for future automation and intelligence
4. Experience designing observability strategies: distributed tracing structured logging metrics dashboards
5. Deep understanding of zero-trust architecture API security and identity federation
6. Hands-on experience with CI/CD pipeline design GitOps workflows and release engineering
7. Ability to make and communicate well-reasoned architectural trade-offs.
Preferred Skills:
- Expertise with Claude Code or similar AI-assisted development tools
- Experience building service catalogs / internal developer platforms
- Background in highly distributed multi-region enterprise environments
- Exposure to AI-driven automation workflows at scale
Donato Technologies Inc. is a trusted IT staffing consulting and software development partner headquartered in Dallas Texas. We support clients across industries by understanding their unique business needs and delivering tailored technology and workforce solutions. Our focus is on connecting the right talent with the right opportunity-ensuring clients receive dependable skilled professionals and candidates receive meaningful career growth and support. We work closely with small to mid-sized organizations to provide flexible high-quality services that drive performance innovation and long-term success.
