Technical lead - Python, Microservices, Cloud
HCL America, Inc.
United States
9 days ago
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Role details
Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Compensation
$69,000.0 - $128,000.0
Working hours
Regular working hours
Job source
Tech stack
Java (Programming Language)
Application Programming Interfaces (APIs)
Automation of Tests
Cloud Computing
Code Review
Concurrency Controls
Continuous Integration
Customer Data Management
Data Stores
Distributed Systems
Identity and Access Management
JSON
+17 more
Python (Programming Language)
Key Management
Load Testing
Session Management
Systems Integration
Openapi
Data Logging
Google Cloud
Large Language Models
Concurrency
State Machines
Backend
Git
Fastapi
Restful APIs
Api Management
Microservices
Job description
- Design and implement Gateway APIs used by Google CXAS agents, including session initialization, journey resolution, state transitions and business-operation execution.
- Strong production backend development experience in Python, Java preferably FastAPI or an equivalent framework.
- REST APIs, OpenAPI specifications, JSON Schema and typed request/response validation.
- Practical experience implementing workflow engines, finite-state machines or business-process orchestration.
- Distributed systems concepts: Concurrency, retries, timeouts and transaction boundaries.
- Experience with persistent data stores and session management.
- Google Cloud delivery experience, including IAM, containerized services, logging, monitoring and secrets management.
- Enterprise API integration and automated unit, integration and contract testing.
- Implement an external state engine covering current journey, active state, required information, pending actions, customer confirmation and completion status.
- Define versioned journey configurations, transition rules, policies and state-specific response guidance.
- Ensure the Gateway validates actions proposed by an agent against current state, identity, authorization and business rules.
- Develop adapters for customer backend systems using approved API contracts.
- Implement timeouts, retries, idempotency, concurrency controls and recovery from partial failures.
- Persist session state and audit records with appropriate isolation, retention and protection of customer data.
- Implement authentication, authorization, secrets management and service-to-service security.
- Provide correlated traces showing the incoming request, policy decision, state before and after, backend operation and response.
- Integrate automated tests and AgentCert evidence into the development workflow.
- Package and deploy services to the agreed Google Cloud environment, including Cloud Run where selected.
- Produce API documentation, architecture decisions, operational runbooks and handover material.
Requirements
- Strong production backend development experience in Python, Java preferably FastAPI or an equivalent framework.
- REST APIs, OpenAPI specifications, JSON Schema and typed request/response validation.
- Practical experience implementing workflow engines, finite-state machines or business-process orchestration.
- Distributed systems concepts: Concurrency, retries, timeouts and transaction boundaries.
- Experience with persistent data stores and session management.
- Google Cloud delivery experience, including IAM, containerized services, logging, monitoring and secrets management.
- Enterprise API integration and automated unit, integration and contract testing.
- Understanding of LLM tool calling and the distinction between model-generated intent and authorized business execution.
- Git, code reviews and CI/CD., * Strong production backend development experience in Python, Java preferably FastAPI or an equivalent framework.
- REST APIs, OpenAPI specifications, JSON Schema and typed request/response validation.
- Practical experience implementing workflow engines, finite-state machines or business-process orchestration.
- Distributed systems concepts: Concurrency, retries, timeouts and transaction boundaries.
- Experience with persistent data stores and session management.
- Google Cloud delivery experience, including IAM, containerized services, logging, monitoring and secrets management.
- Enterprise API integration and automated unit, integration and contract testing.
- Understanding of LLM tool calling and the distinction between model-generated intent and authorized business execution.
-
Git, code reviews and CI/CD.
- Telecom billing & background, customer service or service-restoration processes.
- Integration with Google CXAS or another conversational AI platform.
- Agent evaluation, failure injection, load testing and observability.
- Experience replacing synthetic adapters with enterprise backend integrations.
Must Have Skill
Cloud Computing,Microservices,Python
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