Jobs at CodeRoad

About CodeRoad CodeRoad provides end-to-end software development services, helping businesses scale with ideal infrastructure solutions. From staff augmentation to dedicated IT teams and general software engineering, our nearshore technology services empower businesses to thrive in an ever-evolvi...

• Design and implement modern semantic models (facts, dimensions, and metrics stores using tools like dbt) to abstract complex operational databases for AI querying and analytical consumption.
• Build curated, high-performance analytical views and production ELT/ETL pipelines that streamline data retrieval, enhance freshness, and minimize redundant database queries.

• Architect and deploy a hierarchical multi-agent workflow using LangGraph, successfully transitioning legacy single-prompt implementations into modular agentic systems.
• Build domain-specific sub-agents featuring dynamic, on-demand context loading to significantly optimize latency and token economics.

• Design & Build: Develop production-grade AI agents, state management mechanisms, and multi-agent workflows using frameworks such as LangGraph, CrewAI, or Agent Development Kit (ADK).
• Integrate & Orchestrate: Connect AI agents to enterprise tools, APIs, and external platforms via Model Context Protocol (MCP) and structured function calling.

• Architect & Build: Design, develop, and scale autonomous agentic workflows and multi-agent systems using LangGraph, CrewAI, or Agent Development Kit (ADK).
• Anchor Cloud Infrastructure: Own the cloud deployment and security architecture of LLM-powered applications on AWS, using Amazon Bedrock and scalable microservices.

• Frontend Execution: Lead the development of robust, responsive frontend architectures using React, ensuring high performance, accessibility, and cross-browser stability.
• API Integration: Design and evolve clean integration layers to consume RESTful or GraphQL APIs and automate client-facing workflows.

• Steer Automation Strategy: Evaluate legacy testing processes, select modern automation tools, and architect scalable testing frameworks (web, API, mobile) from the ground up.
• Execute Pragmatic Testing: Balance building new automation assets with hands-on manual and exploratory testing to maintain high quality coverage during the transition phase.

• Design and deploy end-to-end cloud and network security architectures across AWS, Azure, or GCP environments to enforce zero-trust policies.
• Build and maintain automated threat-detection mechanisms, SIEM/SOAR pipelines, and incident response runbooks to accelerate threat mitigation.

• Design and implement scalable, secure, and efficient backend systems, APIs (RESTful, SOAP, GraphQL), and relational database structures using Java and MySQL.
• Optimize backend performance and queries to handle high traffic, large datasets, and real-time inventory synchronization efficiently.

• Test Strategy & Execution: Design, document, and execute structured test plans, test cases, and edge-case scenarios for complex software applications.
• API & System Validation: Perform thorough functional, regression, integration, and API testing to ensure robust software delivery.

• Pipeline Generation: Build and manage an enterprise pipeline through outbound prospecting, networking, referrals, and strategic account development.
• Executive Stakeholder Management: Engage technical champions and executive buyers across Engineering, Product, and Infrastructure organizations.

• Model Deployment & Integration: Design and implement scalable, secure, and production-grade pipelines for deploying agentic AI models. Focus on seamless integration with existing systems and enable real-time adaptability for autonomous decision-making.
• Cloud Infrastructure Management: Build and maintain robust cloud infrastructure on Google Cloud...