Solutions Engineer

About Nerdio At Nerdio our mission is to simplify the lives of IT professionals and maximize their Microsoft cloud and end user computing investments. We support organizations of all sizes looking to deploy manage and cost-optimize native Microsoft technologies. We partner with Enterprises and Managed Service Providers all over the world to add value on top of their existing native Microsoft investments like Azure Virtual Desktop (AVD) Windows 365 and Microsoft Intune. Created in 2016 Nerdio has always taken a market-leading and collaborative approach to cloud deployment and management. In fact our product roadmap is greatly influenced by the regular feedback we receive from having seen companies deploy AVD into production environments several thousand times using Nerdio technology. Today Nerdio is used in over 50 countries by more than 15000 organizations of every size and vertical. We’re committed to delivering exceptional service and support which starts with identifying and supporting the best staff possible. We are a fast-moving nimble company looking for individuals who are collaborative empathetic driven and who love to move at the speed of light. If you want to be part of the AVD transformation that Microsoft and Nerdio are leading then we want to speak with you.

About The Role

The Corporate Development team is Nerdio's internal R&D and AI engineering hub. The team builds the automations AI agents AI-powered tools and full-stack internal applications that make every other team at Nerdio faster and smarter. It also owns the data warehouse that powers reporting and analytics across the business. This role is the technical lead of that team. You are equally hands-on builder and team multiplier shipping prototypes and production-grade internal applications yourself while also setting the technical direction for the team stewarding the data warehouse alongside the data engineers and coaching colleagues on how to work effectively with modern AI development tooling. It is an exceptionally broad role one day you are designing an agentic workflow the next you are reviewing a pull request the next you are running a team-wide session on how to use Claude Code or Cursor productively and the one after that you are pitching a new internal product to leadership. It suits someone who is senior enough to own architecture hands-on enough to still guide the build generous enough to make the people around them better and outgoing enough to actively sell the team's work across the company.

What You'll Do

Research Development & Rapid Prototyping Own Nerdio's internal R&D roadmap for AI automation and tooling — turning business problems across the company into working prototypes and where appropriate production-grade internal systems. Continuously evaluate new AI models frameworks SDKs and developer tools decide what is worth adopting and what is not. Run a tight prototype-to-production loop ship fast measure iterate and kill what does not work. AI Engineering & Automation Design and build AI agents and agentic workflows — including multi-agent orchestration tool/function calling MCP integrations and RAG pipelines. Build AI-powered internal tools that augment specific workflows (engineering sales support operations compliance). Define patterns guardrails and reference architectures for how AI is built and deployed inside Nerdio. Full-Stack Development & Platform Build and maintain full-stack internal web applications end-to-end — typically TypeScript / Node.js on the backend modern React or similar on the frontend PostgreSQL or equivalent for data. Deploy and operate applications on Microsoft Azure (App Service Container Apps Functions ACR Key Vault Entra ID). Own the CI/CD story GitHub Actions pipelines environment management secret handling and release hygiene for all internal apps. Data Warehouse Stewardship Share ownership of Nerdio's internal data warehouse with the data engineers — including architectural direction data quality access patterns and integration with downstream AI and reporting use cases. Ensure the warehouse remains a reliable well-governed foundation for analytics dashboards and AI-driven internal products. Team Leadership Enablement & Coaching Act as technical lead for the Corporate Development team set technical direction review key designs and pull requests and make final calls on architectural trade-offs. Coach team members and cross-functional colleagues on effective use of AI development tools — Claude Code Cursor Copilot agentic frameworks — including prompting patterns workflow design and when not to use them. Run internal training sessions demos and office hours that raise the AI and automation literacy of the wider company. Identify and advocate for individual development opportunities within the team help team members grow into more senior technical roles. Internal Evangelism & Idea Generation Act as an internal salesperson for the Corporate Development team actively promote the team's work across Nerdio so that other teams know what exists adopt it and request more. Generate and champion new ideas for internal products automations and AI-powered tools that help Nerdio operate more efficiently and grow as a business. Build relationships across departments (Sales Product Engineering Support Operations Finance) to continuously surface pain points worth solving and opportunities worth exploring. Present Corporate Development initiatives prototypes and results to leadership and the wider company in a way that builds momentum and secures ongoing investment. Security Awareness Maintain a working knowledge of application and cloud security (identity secrets data handling supply chain) and factor it into every design — collaborating with the security function where deeper expertise is needed. Security is a shared concern for this role not its primary focus.

Required Qualifications

3+ years of professional software engineering or equivalent technical experience. This team operates at near-100% AI-driven development — it is perfectly acceptable (and expected) that most of the code is written by AI. What matters is that you deeply understand what you are building and the architecture behind it you must be able to read critique and reason about the code own the design and spot when the AI is wrong. Strong full-stack development skills across TypeScript/JavaScript and at least one scripting language (Python PowerShell or Bash). Demonstrated experience designing and shipping AI-powered applications — ideally including agentic systems tool use / MCP RAG or LLM-driven automation — not just prompt-level use of chat tools. Deep hands-on experience with Microsoft Azure as a deployment target including App Service / Container Apps / Functions networking and identity (Entra ID). Strong CI/CD discipline using GitHub (or comparable) — authoring and maintaining pipelines managing environments and enforcing release quality. Working knowledge of relational databases and data warehousing concepts comfortable collaborating with data engineers on warehouse design and data quality. Proven track record of leading small senior technical teams — either as a team lead tech lead or principal engineer with lead responsibilities. Excellent written and verbal English communication skills able to explain technical decisions to both engineers and non-technical stakeholders.

Preferred Qualifications

Experience with modern agent frameworks and SDKs (Claude Agents SDK Microsoft Agents SDK). Experience building internal developer platforms or productivity tooling inside a software company. Exposure to the MSP and/or Microsoft cloud ecosystem (AVD Windows 365 Intune Microsoft Graph). Background in DevOps / platform engineering (Docker Infrastructure-as-Code observability). Familiarity with security and compliance frameworks (SOC 2 ISO 27001) at an engineering level. KEY COMPETENCIES Hands-on leader Sets direction and ships code does not retreat into slideware. Builder's mindset Prefers a working prototype to a perfect document. Taste in tooling Can quickly tell which new AI tools are real leverage and which are hype. Force multiplier Measurably makes the people around them faster and more capable. Pragmatism Chooses battle-tested primitives over trendy abstractions when stakes are real. Ownership Takes end-to-end responsibility for team output not just their own work. Internal salesmanship Comfortable pitching ideas demoing work and building buy-in across the company actively creates demand for what the team builds.

What Success Looks Like

In The First 12 Months 3 months Fully ramped on the Corporate Development stack internal applications and data warehouse able to lead architectural decisions independently. 6 months Shipped at least two internal AI-powered tools or automations that are measurably adopted across Nerdio and deliver tangible productivity or revenue impact. 9 months Established a clear documented way of working for the team — including prototyping cadence review rituals deployment standards and a shared view on AI tooling. 12 months Stabilized and improved the data warehouse raised the AI and automation capability of the wider company recognized internally as the go-to technical authority on how Nerdio builds with AI.

Benefits

And Incentives Competitive Base and Incentive Plan Stock Options Health and Welfare Plans Life and Disability Plans Retirement Plan Unlimited Flexible Paid Time Off including your birthday off! Collaborative Team Culture

Benefits

for international employees outside the US vary by country. Nerdio is committed to a diverse and inclusive workplace. Nerdio is an equal opportunity employer and does not discriminate on the basis of race national origin gender gender identity sexual orientation protected veteran status disability age or other legally protected status.