Senior Software Engineer

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Nerdio

WebsiteLinkedInAll Job Openings

51 - 200 employees

🏢 Enterprise

☁️ SaaS

💰 Series B on 2022-12

Enterprise • SaaS • Cloud Computing

Nerdio is a company that specializes in streamlining operations and cost optimization for enterprise IT environments, focusing particularly on Microsoft Azure, Windows 365, and Microsoft Intune. Their products, Nerdio Manager for Enterprise and Nerdio Manager for MSP, offer robust automation features that reduce management time and operational costs for managed service providers and enterprises alike. Nerdio's solutions are designed to enhance IT efficiency across industries such as financial services, education, government, and healthcare, with a strong emphasis on security, user experience, and reducing Azure costs. Recognized as a leading innovative partner by Microsoft, Nerdio helps organizations deploy and manage virtual desktops and cloud environments efficiently.

📋 Description

• Design, build, and maintain internal AI enablement tools, services, and developer workflows • Build integrations that connect AI capabilities with internal systems, knowledge sources, and day-to-day workflows • Translate ambiguous productivity problems into practical engineering solutions and reusable platform capabilities • Develop and iterate on prototypes, proofs of concept, and production-ready implementations • Help establish durable engineering patterns, documentation, and operational practices for the platform • Use AI-assisted development tools extensively to design, implement, test, debug, and refactor software • Bring strong practical experience with Claude-based development workflows, including using Claude for code generation, architecture exploration, testing support, and iterative problem solving • Evaluate and improve prompt, context, orchestration, and retrieval patterns to increase quality, reliability, and speed • Apply responsible AI engineering practices, including security, privacy, access control, and safe handling of internal data • Implement and integrate Microsoft identity and authentication systems, including Entra ID, Agent 365, and Microsoft 365 services • Navigate and solve complex identity and authentication challenges across the Microsoft ecosystem with deep, hands-on understanding • Design and build integrations that correctly leverage Microsoft’s identity infrastructure, including OAuth/OIDC flows, conditional access, and enterprise auth patterns • Apply deep knowledge of the full Microsoft IT stack — not just the developer stack, but the IT stack: Entra ID, Agent 365, Microsoft 365, Azure, and their interdependencies • Work directly with the CEO and executive leadership to understand platform vision and translate it into engineering priorities • Partner with product, design, architecture, security, and business stakeholders to identify high-value AI enablement opportunities • Support rollout, onboarding, and internal enablement by helping teams adopt new AI-powered workflows effectively • Communicate technical tradeoffs, implementation plans, and outcomes clearly to technical and non-technical audiences • Deliver features and services end-to-end, from design and implementation through testing, deployment, and iteration • Write clean, maintainable, well-tested code and contribute to sound engineering standards and review practices • Instrument systems, monitor usage, and help measure the impact of AI enablement on productivity and quality • Improve reliability, performance, and maintainability through thoughtful architecture, automation, and continuous refinement • Stay current on emerging AI engineering tools and techniques and apply them pragmatically where they create real value

🎯 Requirements

• 5+ years of software engineering experience building production systems in SaaS, cloud, or enterprise software environments • Deep, hands-on knowledge of the Microsoft IT stack — including Entra ID, Azure, and Microsoft 365 — with expertise in identity and authentication architecture • Strong hands-on coding skills and software design fundamentals, with experience building services, integrations, APIs, and internal platforms • Demonstrated experience using AI-assisted development tools in real engineering workflows, with especially strong familiarity with Claude-based development • Experience translating ambiguous requirements into robust technical solutions and iterating quickly from prototype to production • Excellent problem-solving, debugging, and communication skills • Comfortable operating in high-ambiguity, high-intensity, fast-paced environments and working across multiple disciplines

🏖️ Benefits

• 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!