Technical lead - Python, Microservices, Cloud
United States
Job Description
Technical lead - Python, Microservices, Cloud
Charlotte, North Carolina

Job Summary

  • 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.

Key Responsibilities

  • 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.

Skill 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.

 

  • 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.

Other Requirements

Own technical discovery, backend dependencies, architecture decisions and customer walkthroughs. Agree acceptance criteria with Charter’s platform, security and application teams. Review offshore implementation and lead technical issue resolution.

Maximum Salary (US):  128000
Minimum Salary (US):  69000
Information at a Glance

Why HCLTech?

At HCLTech, you'll supercharge your potential. You'll find your career. And you'll find your spark. All at a place that knows that helping its customers stay on top starts by putting its people first.

HCLTech is a global technology company, home to more than 223,000 people across 60 countries, delivering industry-leading capabilities centered around digital, engineering, cloud and AI, powered by a broad portfolio of technology services and products. We work with clients across all major verticals, providing industry solutions for Financial Services, Manufacturing, Life Sciences and Healthcare, Technology and Services, Telecom and Media, Retail and CPG, and Public Services. Consolidated revenues as of 12 months ending June 2026 totaled $14.8 billion. 

 

Compensation and Benefits

A candidate’s pay within the range will depend on their skills, experience, education, and other factors permitted by law. This role may also be eligible for performance-based bonuses subject to company policies. In addition, this role is eligible for the following benefits subject to company policies: medical, dental, vision, pharmacy, life, accidental death & dismemberment, and disability insurance; employee assistance program; 401(k) retirement plan; 10 days of paid time off per year (some positions are eligible for need-based leave with no designated number of leave days per year); and 10 paid holidays per year.