CodeRoad

Data Engineer

• Design and implement modern semantic models, including facts, dimensions, and metric stores using tools like dbt
• Abstract complex operational databases for AI querying and analytical consumption
• Build curated, high-performance analytical views and production ELT/ETL pipelines
• Streamline data retrieval, improve freshness, and eliminate redundancy across environments
• Tune complex database queries, indexing, and schema definitions using systematic query log analysis
• Implement granular data governance, including RBAC, RLS, dynamic data masking, and anonymization for PII protection
• Collaborate with cross-functional AI engineering teams on RAG and Agentic AI workflows
• Define pipeline monitoring, continuous data quality checks, and automated alerting
• Maintain reliability across all analytical layers

Explore Senior Data Engineer at CodeRoad. Review requirements and application details.

Senior Data Engineer

• Lead the design and implementation of scalable, production-grade ETL/ELT pipelines for large-scale data ingestion, transformation, and processing
• Design and optimize cloud data warehouses, lakes, and lakehouses to support advanced analytics, BI, and reporting workloads
• Implement automated data validation schemas, monitoring frameworks, and testing suites
• Ensure low-latency performance, high data accuracy, and strict security compliance
• Engineer resilient data models using Star Schema, Data Vault 2.0, and Dimensional Modeling
• Tune query performance and storage efficiency
• Partner with Data Scientists, ML Engineers, and Business Analytics stakeholders to translate business objectives into scalable technical data architectures
• Mentor mid-level and junior data engineers
• Establish automated deployment patterns for data pipelines
• Maintain comprehensive architectural documentation

Backend Engineer

• Design and build robust, secure, and scalable enterprise web applications using C#, .NET 8+, and Blazor
• Lead legacy modernization initiatives through code analysis, technology upgrades, migration planning, and system refactoring
• Translate high-level goals into technical strategies within a Scrum POD
• Deliver production-ready code at the end of each Sprint
• Optimize backend business logic, Microsoft SQL Server queries, and RESTful APIs
• Evaluate and integrate AI productivity tools such as GitHub Copilot, Microsoft Copilot, and Cursor
• Collaborate with Enterprise Architects and Product Owners
• Research emerging tools and document foundational engineering patterns
• Elevate team-wide code quality

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Senior .Net/Blazor Developer

• Lead technical strategy, architecture, and hands-on delivery of modernized enterprise web applications using Blazor and .NET Core / .NET 6+
• Own codebase scalability and maintainability
• Collaborate with external modernization partners during acceptance testing and absorb codebase details
• Establish internal operational ownership through vendor handoff cycles and domain knowledge transfer
• Design and execute complex frontend and backend features across clinical work areas and enterprise reporting integrations
• Enhance SQL Server relational database performance, schema design, stored procedures, and indexing strategies
• Establish application security patterns to mitigate vulnerabilities such as SQL injection and XSS
• Manage dependency updates and maintain system integrity
• Serve as an architectural voice within cross-functional PODs
• Communicate technical trade-offs and decisions to North American product stakeholders and executive leaders
• Mentor team members in an Agile environment

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Senior Blazor / .NET Developer

• Lead development, performance tuning, and architectural evolution of enterprise-grade Java backend services
• Design, deploy, and maintain high-throughput RESTful APIs and integration layers across microservices and 3-tier architectures
• Architect relational database schemas, optimize SQL queries, manage stored procedures, and eliminate data bottlenecks
• Refactor legacy systems, reverse-engineer undocumented business logic, and implement modern design patterns
• Integrate automated testing and deployment patterns into AWS or Azure cloud-native environments using Git and CI/CD pipelines
• Mentor mid-level and junior engineers through code reviews
• Author comprehensive technical documentation
• Collaborate directly with U.S.-based client stakeholders
• Work within collaborative Velocity Studios teams on complex technology initiatives

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Senior Java Developer

QA Engineer

• Design, document, and execute comprehensive test plans, test suites, and complex edge-case scenarios across web and mobile platforms
• Perform functional, regression, integration, and RESTful API testing
• Validate APIs and systems using Postman, Charles Proxy, and Swagger
• Log, track, and prioritize complex defects in Jira, Zephyr, or TestRail
• Partner with developers to drive root-cause resolutions
• Identify repeat testing flows suitable for test automation transition
• Collaborate with automation engineers to define robust script requirements
• Execute SQL queries to validate backend data integrity and verify state transitions
• Drive test case reviews and lead risk assessment sessions
• Provide technical mentorship to mid-level and junior QA engineers

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Senior QA Manual Engineer

• Architect and develop enterprise-grade, multi-tier backend services and web APIs using .NET, C#, ASP.NET WebAPI, and OWIN
• Optimize and scale complex data layers, ORM integrations, and relational database systems using MS SQL Server, NHibernate, and Dapper
• Lead technical research alongside Solution Architects to establish backend patterns, evaluate emerging tools, and enforce enterprise coding standards
• Integrate and maintain event-driven messaging pipelines and integration protocols using Azure Service Bus and RESTful architecture
• Deliver production-ready features every Sprint through continuous integration, automated builds with TeamCity and Octopus Deploy, and unit and integration testing with ReSharper and dotCover
• Collaborate in a dedicated Scrum environment by refining complex user stories into deliverable backend tasks and conducting peer code reviews
• Own service architecture end-to-end, including data access optimization, API design, asynchronous messaging, and automated CI/CD deployments
• Modernize, scale, and maintain core business logic and backend services for enterprise systems

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Senior .NET Engineer

SDET

• Lead the design, implementation, and maintenance of scalable automated testing frameworks across API, Web, and Mobile layers
• Build, maintain, and execute end-to-end automated test suites
• Embed automated tests into continuous integration and deployment pipelines using Git, GitHub Actions, and Jenkins
• Perform deep automated API testing for RESTful services
• Collaborate with Product Owners and Developers to define acceptance criteria, isolate edge cases, and eliminate defect spillover
• Mentor L1/L2 QA engineers on modern automation practices
• Conduct code reviews for test scripts
• Establish standardized QA automation guidelines within the POD

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Senior QA Automation Engineer

• Lead the development, performance tuning, and architectural evolution of enterprise-grade backend services using C#, .NET Core / .NET 5+, and ASP.NET Web API
• Design, deploy, and maintain high-throughput RESTful APIs and integration layers
• Architect relational database schemas, optimize complex SQL queries, manage stored procedures, and resolve performance bottlenecks in distributed 3-tier architectures
• Refactor legacy systems, reverse-engineer undocumented workflows, and enforce modern software design patterns
• Integrate automated testing and build pipelines into cloud-native environments using AWS, Azure, or GCP, with Git and CI/CD practices
• Mentor mid-level and junior engineers through constructive code reviews
• Author comprehensive technical documentation
• Collaborate directly with U.S.-based client stakeholders and engineering teams

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Senior .NET Developer

DevOps Engineer

• Design, provision, and maintain scalable, technology-agnostic cloud environments using Terraform, Pulumi, CloudFormation, or Ansible
• Engineer robust continuous integration and automated deployment pipelines using GitHub Actions, GitLab CI, or Jenkins
• Deploy, configure, and operate containerized applications at scale using Docker, Kubernetes, or AWS ECS
• Establish end-to-end monitoring, centralized logging, and proactive alerting frameworks using Prometheus, Grafana, Datadog, or CloudWatch
• Embed security automation across the delivery lifecycle
• Enforce IAM policies, SSL/TLS management, data encryption, and infrastructure compliance
• Partner with software engineering PODs to troubleshoot complex infrastructure bottlenecks
• Optimize cloud consumption
• Establish modern Site Reliability Engineering (SRE) patterns

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Senior DevOps Engineer

Director

• Lead and scale CodeRoad’s delivery organization, ensuring successful execution of high-quality client solutions.
• Act as a strategic technical partner, aligning client business needs with engineering and project management capabilities.
• Serve as the primary technical and delivery liaison for key clients.
• Build and nurture long-term client relationships through proactive engagement, responsiveness, and thought leadership.
• Support Sales in pre-sales engagements, proposals, and Proof of Concepts (PoCs).
• Advise on technology choices, architectures, scalability, security, quality, and delivery best practices.
• Evaluate emerging technologies such as Agentic AI and MLOps for client solutions.
• Define and enforce internal delivery standards, quality frameworks, and Agile methodologies.
• Partner with Project Managers, Delivery Managers, and Tech Leads on project execution.
• Monitor delivery KPIs including velocity, quality, utilization, and defect rates.
• Participate in final technical and cultural interviews for candidates joining the Studio or specialized Accounts.
• Mentor and coach Program Managers, Architects, and Senior Project Managers.
• Implement career paths and growth frameworks with the COO and People team.
• Conduct performance reviews and foster accountability, innovation, and continuous learning.
• Maintain client and employee satisfaction, contribute to account expansion, ensure on-time/on-budget delivery, and complete performance reviews.

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Delivery Director

Salesforce Developer

• Drive the technical transition strategy from legacy Salesforce environments to ServiceNow
• Serve as the primary bridge and subject matter expert across Salesforce and ServiceNow
• Conduct a comprehensive inventory and dependency assessment of 1,000+ custom dashboards, data models, and recurring reports
• Architect and prioritize migration, consolidation, or sunsetting of analytics assets into ServiceNow Reporting and Performance Analytics
• Participate in structured ServiceNow cross-training and lead technical reporting standardizations across implementation brands
• Synchronize daily with U.S. client leadership to ensure business continuity, data integrity, and reporting visibility during the 9-month transition

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Lead Salesforce Admin

Data Scientist

• Build, test, and refine machine learning and statistical models to identify anomalies, forecast costs, analyze shipping rates, and classify invoices
• Evaluate model performance and contribute to improving predictive accuracy
• Apply NLP, embeddings, and LLMs to extract insights from unstructured supply chain documents, logistics contracts, and business data
• Prepare datasets and develop feature engineering workflows
• Support model deployment, monitoring, and automated retraining
• Clean, transform, and analyze transactional datasets
• Identify patterns, evaluate shipping trends, compare carrier rates, and support cost optimization and contract negotiation decisions
• Use SQL, statistical analysis, and data visualization to communicate findings and provide actionable recommendations
• Implement data quality checks and validate analytical results
• Monitor model performance and follow security and governance standards across cloud data environments
• Experiment with AI tools, libraries, and techniques to improve analytical workflows and automate repetitive tasks
• Collaborate with AI and software engineers and cross-functional teams

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Product Manager

• Define, prioritize, and drive production-grade AI use cases based on technical feasibility and business ROI
• Translate raw requirements into user stories with robust acceptance criteria and edge-case coverage
• Curate golden evaluation datasets with subject matter experts
• Monitor hallucination risks and refine prompts, guardrails, and context retrieval systems
• Lead sprint planning, backlog grooming, and release cycles across AI research, data engineering, frontend development, and DevOps teams
• Balance product innovation, latency, and cloud consumption budgets
• Direct technical workshops, product demos, and executive check-ins
• Secure data privacy and governance sign-offs in compliance-sensitive enterprise environments
• Track project milestones, manage LLM token costs and infrastructure dependencies, and maintain transparent risk logs
• Protect system reliability and budget constraints

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Senior AI Product Owner

AI Engineer

• Design, develop, and scale autonomous agentic workflows and multi-agent systems using LangGraph, CrewAI, or Agent Development Kit (ADK)
• Own cloud deployment and security architecture of LLM-powered applications on AWS using Amazon Bedrock and scalable microservices
• Connect AI agents to enterprise APIs, data sources, and deterministic tools via Model Context Protocol (MCP) and workflow platforms such as n8n
• Build high-performance RAG pipelines and vector database integrations using Pinecone or Weaviate for contextual retrieval and reranking
• Implement end-to-end evaluation, guardrails, and security measures, including task-success metrics, hallucination checks, and prompt-injection protection
• Lead system observability using LangSmith, Langtrace, or AgentOps
• Mentor engineering PODs in Python and AI development best practices
• Transform business requirements into scalable, secure, and reliable agentic solutions on AWS
• Guide nearshore development teams through the production AI deployment lifecycle

Explore Senior Agentic AI Engineer at CodeRoad. Review requirements and application details.

Open roles

Senior Data Engineer

Senior Data Engineer

Senior .Net/Blazor Developer

Senior Blazor / .NET Developer

Senior Java Developer

Senior QA Manual Engineer

Senior .NET Engineer

Senior QA Automation Engineer

Senior .NET Developer

Senior DevOps Engineer

Delivery Director

Lead Salesforce Admin

Data Scientist

Senior AI Product Owner

Senior Agentic AI Engineer