Lead .NET Architect (Technology & AI Labs)

This is a remote position.

• Own end-to-end platform architecture for Industrial Group — defining the structure of core application services, data processing pipelines, real-time event handling, and enterprise API surfaces across the portfolio.
  
• Design and enforce distributed systems that scale — concurrent, fault-tolerant, and built for enterprise-grade load across manufacturing, chemical, automotive, and oil & gas environments.
  
• Define data architecture and schema governance across SQL Server and NoSQL stores — including indexing strategy, stored procedure design, and query optimization at scale.
  
• Architect event-driven and messaging systems using RabbitMQ, Azure Service Bus, or equivalents for reliable inter-service communication and downstream processing.
  
• Establish caching and performance standards (Redis and equivalents) across backend services, APIs, and data access layers.
  
• Lead architectural trade-off decisions and produce clear, binding Architecture Decision Records (ADRs) that communicate rationale to engineering, product, and leadership.
  
• Partner with Venture AI Labs to bring applied AI capabilities into Industrial Group products — evaluating and integrating LLM-powered features, RAG pipelines, agent frameworks, and feedback loops where they create real operational value.
  
• Translate industrial domain challenges into technical solutions — working with product and operations teams to turn complex manufacturing and process workflows into scalable, well-architected software.
  
• Mentor and grow senior engineers through hands-on pairing, code review, system design sessions, and architectural coaching.
  
• Champion AI-first engineering practices — define how the team uses Claude Code, Cursor, Codex, GitHub Copilot, and JetBrains AI as first-class development instruments, and set the bar for reviewing and validating AI-generated output.
  
• Promote and govern engineering best practices across testing (TDD, unit, integration), observability, security-by-default, and CI/CD pipeline quality.
  
• Partner with platform and infrastructure teams on cloud-native architecture across Azure and AWS, including containers, Kubernetes orchestration, and serverless patterns.
  

Requirements

• 8+ years of professional software development experience, with at least 2 years in a lead architect or principal engineer role on production systems.
  
• Deep mastery of C# and .NET Framework/Core — including ASP.NET, Web API, Entity Framework, and the .NET ecosystem at scale.
  
• Proven track record designing distributed, concurrent, scalable, and fault-tolerant systems serving enterprise customers in production.
  
• Expert-level SQL and database design skills: Microsoft SQL Server schema design, stored procedures, indexing, and query optimization — with NoSQL exposure (MongoDB or equivalent).
  
• Hands-on experience with message brokers and event-driven systems: RabbitMQ, Azure Service Bus, Kafka, or equivalents.
  
• Cloud platform fluency with Azure (App Service, Functions, Key Vault, Storage Accounts, Service Bus, Application Insights) and AWS — including cloud-native architectural patterns.
  
• Strong grounding in object-oriented design, SOLID principles, design patterns, and architectural patterns (CQRS, event sourcing, microservices, hexagonal architecture).
  
• Test-driven development mindset with strong discipline around unit testing, integration testing, and observable, measurable system quality.
  
• Experience with ORM layers (NHibernate, Dapper, Entity Framework) and principled approaches to data access at scale.
  

• Container orchestration experience with Docker and Kubernetes for microservices and cloud-native deployments.
  
• Caching architecture experience with Redis or equivalents — including cache invalidation strategies, TTL design, and read/write patterns under load.
  
• CI/CD pipeline design and governance using Azure DevOps or equivalent — including automated testing gates, release management, and deployment strategies.
  
• Experience integrating third-party APIs, external data sources, and enterprise systems at architectural scale.
  
• Familiarity with operational technology systems, field data collection, or industrial software platforms is a strong plus for the Industrial Group context.
  

• Hands-on experience with AI-first development — Claude Code, Cursor, GitHub Copilot, Codex, or JetBrains AI. You direct AI output, review it to a production bar, and know when to override it.
  
• Exposure to LLM-powered features in production: RAG, evals, agent frameworks, tool use, feedback loops, or machine learning integration into operational workflows.
  
• Comfort operating in a dual-speed architecture environment — maintaining production-grade reliability for Industrial Group platforms while driving rapid experimentation in Venture Labs.
  

• Demonstrated ability to operate as the technical authority on complex, multi-team systems — setting direction, resolving ambiguity, and aligning engineers and stakeholders.
  
• Experience mentoring senior engineers and contributing measurably to team growth, not just output.
  
• Strong written and verbal English communication skills — able to convey architecture decisions clearly to engineers, product managers, and executive leadership alike.
  
• Comfortable in a remote, asynchronous, forward-deployed environment with shifting context across multiple products and teams simultaneously.
  

• Prior work in regulated industries: manufacturing, industrial operations, oil & gas, chemical, automotive, food manufacturing, or compliance-driven SaaS.
  
• Experience modernizing legacy .NET systems (Framework → .NET Core, monolith → services, on-premise → cloud).
  
• Background in high-velocity R&D environments: innovation labs, skunkworks teams, incubators, or fast-moving startups inside larger enterprises.
  
• Background in operational software, field data platforms, or systems that bridge physical operations and enterprise software.
  
• Python as a secondary capability — polyglot engineers who reach for the right tool are valued across the Embrace portfolio.
  
• Exposure to operational data platforms, time-series data, or event-streaming architectures (Kafka, Azure Event Hubs) at industrial scale.
  

• Architect for Industrial Group’s mission-critical enterprise platforms, with a direct partnership into Venture AI Labs to bring applied AI into production.
  
• Real stakes, real customers — your architecture decisions affect Fortune 500 manufacturers globally.
  
• A mandate to build AI-first, not AI-bolted-on. We invest in the tools and culture to do it properly.
  
• Remote-first, outcomes-focused culture with a senior and principal engineering community that will sharpen your craft.
  
• A platform for genuine technical leadership: ADRs, architecture reviews, engineering standards — you set the bar.
  

Benefits

• Competitive salary commensurate with experience.
  
• Opportunities for career advancement and professional development.
  
• Experience collaborating with a diverse, global team within a remote work setting.