Jobs at CodeRoad

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.

Design and build brand-compliant email campaigns and direct mail pieces for automotive clients. Responsibilities include using email builders, editing basic HTML, creating print graphics in Adobe InDesign, applying OEM brand guidelines, ensuring ADA accessibility, reviewing campaign accuracy, interpreting feedback, and collaborating in English with account teams. The role requires high-volume production, strong typography and layout skills, print knowledge, attention to detail, and independent troubleshooting.

Designs, develops, administers, and optimizes databases and data warehouse systems. Responsibilities include schema and data model design, SQL performance tuning, backups and disaster recovery, security and compliance, troubleshooting, automation, cloud and serverless data solutions, and support for developers and stakeholders. The role also involves ETL, big data processing, monitoring, documentation, and continuous improvement across multiple relational database platforms.

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.

Designs and oversees reusable agentic AI architectures for client engagements. Translates business problems into technical requirements, evaluates build-versus-buy decisions, establishes orchestration and human-in-the-loop controls, and guides nearshore engineering teams. The role also identifies reusable intellectual property, supports client growth, and communicates ROI, margins, and technical risk to executives and consulting partners.

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.

Build and maintain scalable Python APIs and microservices on AWS, integrating LLM services, Amazon Bedrock, and RAG workflows. Manage relational and NoSQL databases, write automated tests, document APIs, monitor production systems, and optimize performance. Collaborate with US-based clients and senior engineers in agile delivery teams while supporting reliable, secure cloud applications.

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.

Design, build, and operate backend and fullstack production systems using Java, Spring, Node.js, and React. Own service reliability through observability, SLIs/SLOs, on-call support, incident response, postmortems, capacity planning, and load testing. Contribute to infrastructure as code, collaborate with platform teams, participate in architecture and code reviews, and mentor junior engineers.

Develop high-throughput, low-latency backend services and responsive frontend interfaces for enterprise item-chain management systems. Design APIs, optimize databases and application performance, troubleshoot production issues, manage CI/CD pipelines, conduct load testing, and contribute to observability. Collaborate with architects, product managers, and designers while mentoring engineers and applying AI-assisted development tools. The role has a strong backend focus using Java, Spring Boot, Oracle, MySQL, ReactJS, and AWS-based infrastructure.