4Bell Technology

Job Description

Key Responsibilities

·         Design, develop, enhance, and maintain enterprise software applications and services using Python, TypeScript/JavaScript, React, and modern backend frameworks.

·         Architect, build, and operate RESTful APIs and microservices that support scalable, production-grade business and platform capabilities across GCP and Azure.

·         Apply microservice architecture patterns, including service decomposition, inter-service communication, API gateway patterns, and event-driven design.

·         Design reliable data models and optimize relational database solutions using PostgreSQL; evaluate NoSQL and vector database options where appropriate, and work with BigQuery/GCS for analytical and classification-tagged data.

·         Implement secure application patterns, including authentication, authorization, input validation, rate limiting, and secrets management.

·         Own containerized deployment practices using Docker, Kubernetes, GKE, Cloud Run, and Azure Container Apps, including production-readiness and operational support.

·         Build and maintain CI/CD pipelines using GitHub Actions, Jenkins, or comparable platforms, extending them where appropriate with AI-specific stages such as eval gates, prompt-injection/red-team checks, and cost-budget checks.

·         Instrument services and agents for observability using structured logging, distributed tracing, and monitoring (e.g., OpenTelemetry, Grafana), applying redaction and privacy controls where sensitive data is involved.

·         Lead practical integration of LLMs into production applications, including prompt engineering, retrieval-augmented generation (RAG), embeddings, and model evaluation practices, routed through approved internal AI gateways.

·         Contribute to agent-based capabilities where applicable, including Model Context Protocol (MCP) server integration, agent lifecycle management, and non-human identity patterns.

·         Mentor engineers, guide technical delivery, and partner with product, business, security, legal, and compliance stakeholders to translate requirements and governance needs into effective technical solutions.

Required Qualifications

·         10-12 years of software development experience in enterprise-scale or production environments, ideally including platform or infrastructure engineering.

·         Strong proficiency in Python and TypeScript/JavaScript; experience with Java is preferred.

·         Demonstrated full-stack development capability, including React with TypeScript on the frontend and FastAPI, Spring Boot, or comparable backend frameworks.

·         Proven experience designing, developing, and operating RESTful APIs and microservices at scale.

·         Strong understanding of microservice architecture patterns, including service decomposition, inter-service communication using REST, gRPC, or message queues, and API gateway patterns.

·         Experience implementing event-driven architectures and asynchronous messaging platforms such as Kafka, Pub/Sub, or similar technologies.

·         Hands-on database design experience with PostgreSQL, including relational schema design and query optimization; exposure to NoSQL or vector databases is preferred.

·         Working knowledge of authentication and authorization patterns, including OAuth2, JWT, and role-based access control.

·         Strong understanding of API security best practices, including input validation, rate limiting, and secrets management.

·         Experience with Docker and Kubernetes/GKE for containerization and orchestration.

·         Experience with CI/CD pipelines using GitHub Actions, Jenkins, or similar platforms, including ownership of the full pipeline lifecycle.

·         Hands-on Google Cloud Platform experience with GKE, Cloud Run, Cloud Functions, BigQuery, and related services; Azure experience (Container Apps, Entra ID) is a plus.

·         Experience working in Agile/Scrum development environments.

Preferred Qualifications

·         2+ years of hands-on experience integrating large language models into production applications.

·         Practical experience with prompt engineering, retrieval-augmented generation (RAG), and embeddings; familiarity with fine-tuning and model evaluation is preferred.

·         Experience with the Anthropic Claude platform, including API usage, the Claude Agent SDK, and Claude Code, or comparable platforms such as OpenAI or Gemini.

·         Familiarity with agentic AI patterns, multi-step reasoning workflows, and multi-agent delegation.

·         Experience building or configuring Model Context Protocol (MCP) servers, including enterprise-managed authorization brokered through an identity provider, is strongly preferred.

·         Hands-on experience with agent build frameworks such as Google ADK, LangGraph, or the Claude Agent SDK, including MCP-based tool integration.

·         Working knowledge of non-human/agent identity systems such as Entra Agent ID and/or GCP Agent Identity, including scope design and lifecycle binding to compute.

·         Familiarity with OpenTelemetry GenAI semantic conventions and Grafana Tempo, or comparable distributed tracing and observability stacks.

·         Familiarity with platform-engineering catalogs such as Backstage, including scoped-credential support for agents.

·         Working knowledge of enterprise systems (Workday, ServiceNow, M365) and their emerging agent governance layers.

·         Awareness of employment-decision AI regulation (e.g., EU AI Act high-risk obligations, NYC LL144) sufficient to translate legal requirements into intake-gate logic.