Jobs at CodeRoad

Owns the strategy, backlog, delivery, quality evaluation, and compliance alignment for enterprise AI products, including LLM applications, AI agents, and RAG implementations. Leads cross-functional teams, defines acceptance criteria and evaluation benchmarks, manages stakeholder workshops, tracks project risks and cloud costs, and ensures secure, scalable production releases.

Own and manage Azure infrastructure across development, staging, and production using infrastructure as code. Build CI/CD pipelines, containerize Python and AI services, secure data platforms, manage secrets and identities, enforce network isolation, and implement monitoring and security scanning. Collaborate with AI, data, and backend engineering teams to deliver resilient cloud infrastructure for LLM-based and agentic applications.

Owns the architecture and technical health of mission-critical .NET backends. Leads development of scalable APIs, manages SQL database design and performance, modernizes workflows, and addresses technical debt. Provides code reviews, mentorship, documentation, and stakeholder communication while supporting reliable delivery across diverse codebases. Requires advanced C#, .NET, ASP.NET Web API, SQL, cloud, DevOps, and distributed architecture expertise in a client-facing nearshore or offshore environment.

Lead the architecture, development, evaluation, and operation of enterprise autonomous AI agents integrated with Salesforce. Build stateful multi-agent workflows using LangGraph, Claude, and MCP; implement evaluation, observability, security, and PII protection; optimize model routing and performance; and establish engineering standards, API contracts, and architecture roadmaps. The role requires extensive software engineering and production LLM experience, strong debugging and stakeholder communication skills, and advanced English proficiency.

Lead the architecture, development, evaluation, and operation of enterprise-grade autonomous multi-agent AI systems integrated with Salesforce. Build stateful workflows using LangGraph, LangChain, Claude, and MCP; create evaluation pipelines and observability systems; optimize model performance, latency, and cost; implement security controls and PII protection; and establish technical standards for engineering teams and stakeholders.

Lead enterprise application modernization and develop scalable web applications using C#, .NET, Blazor, and SQL Server. Responsibilities include architectural refactoring, migration planning, performance optimization, technical strategy, code quality standards, Scrum collaboration, technology evaluation, backend optimization, RESTful services, and AI-assisted development.

Own the quality strategy and automated testing framework for mission-critical applications. Design scalable API, web, and mobile test suites; integrate automated testing into CI/CD pipelines; collaborate with developers and product owners on acceptance criteria and risk identification; review test code; and mentor QA engineers while promoting quality-first practices.

Design, architect, and deploy autonomous agentic AI systems using multi-agent frameworks, vector databases, monitoring tools, and cloud platforms. Lead technical architecture, mentor developers, build user interfaces, optimize production performance, and implement ethical AI safeguards. Collaborate with researchers, MLOps engineers, data scientists, and product teams while maintaining high standards for code quality, documentation, scalability, transparency, and reliability.

Designs and evolves scalable data pipelines, warehouses, lakes, and streaming architectures. Builds ETL/ELT processes, ensures data quality and security, optimizes database performance, and translates complex requirements into technical solutions. Collaborates with data scientists and stakeholders on modeling while mentoring junior engineers. The role requires modern data stack, cloud, programming, data modeling, communication, and client-facing nearshore or offshore experience.

Leads the architecture and development of scalable, secure Java backend systems for high-throughput e-commerce platforms. Designs APIs, databases, caching, messaging, and distributed services; optimizes performance and reliability; troubleshoots production issues; and translates ambiguous business requirements into robust technical solutions. Collaborates with international cross-functional teams, mentors developers, conducts code reviews, and drives adoption of modern engineering and AI-assisted development practices.

Designs and optimizes semantic data models, analytical views, and production ETL/ELT pipelines for AI and analytics workloads. Tunes databases for low-latency retrieval, implements RBAC, row-level security, data masking, governance, monitoring, and quality standards, and collaborates with AI engineering teams on RAG and agentic AI systems.

Own QA strategy, test planning, and manual execution for web, mobile, and API applications. Design and execute functional, regression, integration, exploratory, boundary, and acceptance tests; validate RESTful APIs; track and prioritize defects; support automation transition; and mentor junior and mid-level QA engineers. The role requires collaboration with developers and US-based clients in a remote nearshore environment.

Designs, develops, and scales enterprise backend services, microservices, RESTful APIs, data layers, and messaging pipelines using .NET technologies. Responsibilities include architecture, SQL and ORM optimization, Azure Service Bus integration, CI/CD deployments, automated testing, technical research, Agile story refinement, and peer code reviews.

Own the architecture, technical health, performance, and evolution of mission-critical React frontends. Lead scalable UI development, API integrations, state management, design system implementation, accessibility, testing, and web performance optimization. Conduct code reviews, mentor engineers, manage technical debt, establish frontend standards, and collaborate with US-based clients in a remote nearshore environment.

Own the quality strategy and automated testing framework for mission-critical applications across API, web, and mobile layers. Design scalable test suites, integrate testing into CI/CD pipelines, reduce manual testing, define acceptance criteria, identify risks, review test code, and mentor junior QA engineers. The role requires strong automation, programming, API testing, DevOps, communication, and client-facing nearshore or offshore experience.

Own the full enterprise sales cycle for AI-enabled software solutions, from outbound prospecting and technical discovery through negotiation and close. Build relationships with CTOs, VP Engineering, and technical leaders; generate and manage pipeline; navigate procurement and security reviews; and collaborate with Solutions Architecture, Delivery, and Customer Success teams to support strong customer outcomes.

Design, deploy, monitor, and optimize scalable MLOps pipelines and agentic AI systems in production. Manage cloud infrastructure, CI/CD and continuous training workflows, model monitoring, security, governance, compliance, and performance optimization. Collaborate with researchers, data scientists, engineers, and product teams to deliver reliable, ethical autonomous AI solutions.

Owns the reliability, scalability, and automation of cloud-native infrastructure. Designs infrastructure-as-code environments and CI/CD pipelines, implements observability and DevSecOps practices, troubleshoots complex infrastructure issues, and mentors engineering teams. The role requires expertise with a major cloud provider, containers, orchestration, scripting, configuration management, and client-facing nearshore or offshore startup environments.

Administer and architect HubSpot Sales and Marketing Hubs, including pipelines, custom objects, workflows, data governance, integrations, and executive reporting. Own CRM data integrity, attribution, dashboards, documentation, and system enablement for the go-to-market organization. Translate business goals into scalable CRM solutions while troubleshooting integrations and training internal users. This is a part-time, remote contractor role requiring at least three years of HubSpot administration experience and U.S. Eastern Time overlap.

Lead the development and architectural evolution of mission-critical Java backends. Design RESTful API integrations, optimize SQL databases and stored procedures, support microservices and distributed architectures, and improve system reliability and technical debt. Conduct code reviews, mentor engineers, document complex systems, and collaborate with US-based clients in a remote nearshore environment.