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Senior Dotnetnuke Engineers
Only vetted developers with 5+ years of experience.
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Discover developers that match your project requirements.No exact match for this specialty yet — here are related experts from our network.
Principal DevOps / Site Reliability Engineer with 14+ years of software engineering experience (including freelance development) and 9+ years of professional DevOps/SRE experience. Expert in designing and automating scalable cloud infrastructure across AWS, GCP, Azure, a company Cloud, with deep expertise in Kubernetes, Docker, OpenShift, Terraform, Ansible, GitOps (ArgoCD/FluxCD), CI/CD, Go, and Python. Experienced in building multi-cloud, high-availability platforms, infrastructure automation, cloud migrations, and developer platforms. Currently working as Principal Engineer at FOX, previously held senior engineering roles at Hippo Insurance, a company, and Morgan Stanley.
I am a solutions architect and engineer with 5+ years of experience in designing and implementing cloud-based AI solutions. Solid skills across applied AI, software engineering, cloud architecture and DevOps practices, built on years of field experience, allow me to drive AI initiatives from concept to production, leveraging AI tools to boost delivery speed without compromising on deliverable quality.
Senior Python Developer with 11+ years of experience designing scalable backend systems and microservice architectures across data analytics, logistics, and fintech platforms. Proven track record leading engineering teams and delivering cloud-native solutions on AWS and Kubernetes. Recently led development of AI-powered and real-time observability platforms using modern Python frameworks and large-scale data technologies. Strong background in system architecture, distributed systems, and mentoring teams in Agile environments.
Senior AI/ML Engineer with 10+ years of experience designing and deploying large-scale machine learning and generative AI systems in production environments. Specialized in LLM architectures, agentic AI systems, distributed ML infrastructure, and end-to-end MLOps platforms. Proven track record of delivering high-impact AI products including diagnostic AI systems improving accuracy by 38% and enterprise ML platforms accelerating data pipelines by 40%. Experienced in leading cross-functional teams, architecting scalable AI platforms, and driving AI innovation across healthcare, enterprise analytics, and automation domains.
10+ years in IT, 7+ years focused on DevOps/SysOps/SRE. Currently - Tech Lead at a U.S. company.
AI engineer with 6+ years of professional experience, available to start a new challenging role in stimulating and innovative company.
Over the past 8 years, I have gained ample experience in ETL/ELT, Snowflake, Airflow, and Data Warehouse. I have been responsible for Data Lake Support and creating new ETL/ELT processes within AWS using either Snowflake, Glue, Airflow, dbt, Xplenty, Docker, or Custom Python Scripts with APIs. I have also worked as an Application Architect, which includes over 50 different services across AWS. I needed to create pipelines, organizations, and permissions within AWS Infrastructure to meet business requirements while optimizing costs. My previous work includes over four years as a Data Analyst, creating and supporting BI Tools like Sisense, Quicksight, and Power BI/Tableau. I managed and created dashboards, widgets, and Data Architecture with Sisense and Redshift. I was also the Support Engineer for Sisense Installation and Maintenance. I would describe myself as reliable and able to undertake complex situations with unique solutions. I have over 7 years of experience in the Data sector, over 17+ years of SQL experience, and 20+ years as a Developer. I’m also a mid-QA Automation Engineer, which gives me a better idea of the attention to detail a developer needs to attain to complete development within the time limit and without affecting PROD releases. My other skills include being a Sysadmin in both Windows and Linux environments, a company Web Services AWS, a company 365 Portal, JumpCloud, 1Password, and Slack. I also have DBA knowledge, including creating servers and Data Warehouses. I'm an expert in MS Office and can automate with macros. I’m also a Cybersecurity advocate since I’m always looking for ways to protect data and user permissions. I have been in Agile Development with Jira in Kanban and Scrum for the past 4 years. And I have also created bots to automatize process alerts and configurations with Slack APIs and AWS to help my teammates get prompt feedback from the ETL pipelines.
I am a technical leader and problem solver who designs and delivers scalable, distributed software and AI systems that create measurable business value. I have led cross-functional teams and platform initiatives, translating complex requirements into reliable, production-ready solutions built on open standards. My experience spans architecting, mentoring, and driving execution across diverse technology stacks, with a strong focus on operational excellence, product impact, and long-term system sustainability.
Energetic, adaptable, mission-focused and multilingual MBA professional with more than 20 years of experience in IT, Business Intelligence, Marketing and Finance in 4 multinationals. Proven track record of finding creative solutions to solving challenges. Effective presenter who collaborates well in teams and across divisions. Passion for learning and acquiring new skills every day.
15+ years of experience designing and operating large-scale distributed systems and latency-sensitive production platforms. Expertise in multi-region Kubernetes infrastructure, hybrid cloud environments, and production reliability engineering, with a strong focus on scalability, fault tolerance, observability, and operational automation. Deep experience building and operating hybrid bare-metal and cloud platforms (AWS, GCP), including Kubernetes infrastructure, traffic routing, CI/CD systems, and production observability stacks supporting globally distributed workloads. Strong background in incident response, Linux systems, networking, distributed systems troubleshooting, and infrastructure automation using Terraform and Python. Focused on end-to-end ownership of production infrastructure platforms while partnering closely with engineering teams to improve reliability, security, deployment consistency, and operational efficiency.
Technical leader at a company AI Core, building and operating cloud-native AI platform services from prototype to production. Hands-on across backend engineering, distributed systems, and Kubernetes, driving technical direction and delivery across teams without direct authority.
Software Engineer with 10+ years of AI/ML experience and proven expertise in developing LLM-powered applications, generative AI systems, and ad engines. Strong track record of scaling ML platforms from inception to 1,500+ users at a company, building production AI systems, and creating innovative ad solutions. Experienced in full software development lifecycle with deep knowledge of PyTorch, TensorFlow, and modern AI frameworks including LangChain, LangGraph, and various LLM APIs.
What our Dotnetnuke Developers
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Which Engagement Model Is Right For You?
Whether you need one engineer, ongoing delivery support, or a complete product team, we have an engagement model that fits.

Strengthen your existing engineering team with senior specialists who integrate seamlessly into your workflows while you retain full ownership of priorities, roadmap, and day-to-day management.
- Senior engineer(s) integrated into your team.
- Fast onboarding into your workflow.
- Flexible monthly engagement.
- Replacement guarantee if needed.
- Direct communication and full transparency.

Ideal for teams that need experienced engineers backed by technical leadership, ensuring faster onboarding, predictable execution, and consistent delivery without adding management overhead.
- Dedicated senior engineer(s).
- SoftDoes delivery oversight.
- Regular technical and delivery check-ins.
- Optional code reviews and QA support.
- Escalation management.
- Replacement support.
- Flexible team scaling.

Launch products faster with a ready-to-work cross-functional team that brings together the right expertise from day one, helping you scale without the complexity of hiring each role individually.
- Engineers, QA, Designers, PMs, Tech Leads - assembled to fit your project.
- Cross-functional collaboration.
- One engagement structure and one point of contact.
- Easy scaling up or down.
- Team continuity throughout the project.

Not sure which engagement model fits?
Or maybe you don't want to manage engineers at all.
- End-to-end project ownership.
- Dedicated Project Manager.
- Engineering, QA, Design, and Product expertise.
- Delivery planning and sprint management.
- Quality assurance throughout development.
- Transparent communication and regular progress updates.
- One accountable partner responsible for successful delivery.


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SoftDoes takes full ownership of delivery, combining project management, engineering, design, and QA into one accountable team focused on successful outcomes.
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Frequently Asked Questions
Everything you need to know about deploying, scaling, and securing your neural agents with SoftDoes. Can’t find an answer?
How long does it typically take to hire developers with proven Dotnetnuke expertise?
Through traditional recruiting, finding a senior DNN engineer often takes several months, because the talent pool is smaller than for newer frameworks and many experienced specialists are not actively searching for work. Much of that time goes into screening general .NET developers who only touched the platform briefly. With SoftDoes, the timeline is much shorter. We maintain a bench of pre vetted engineers with real Dotnetnuke delivery experience, so we can usually present a qualified short list within days. After your interviews, onboarding can begin quickly, which means your upgrade, security, or migration work starts moving without a long hiring gap slowing it down.
What does it cost to hire a developer or team with deep Dotnetnuke expertise?
Cost depends on seniority, scope, engagement length, and whether you need one specialist or a full pod. A senior engineer handling upgrades, security hardening, or migrations commands a higher rate than a developer doing routine module maintenance, and a pod that includes QA and technical leadership costs more than an individual but also covers more risk. The better question is total cost of ownership. An inexperienced hire who breaks a portal during an upgrade or leaves vulnerabilities open usually costs far more over time. SoftDoes provides clear, scoped pricing after a discovery call, so you can compare options against your actual budget and goals.
What engagement models are available for Dotnetnuke projects, such as a dedicated hire, a pod, or a contract?
SoftDoes offers flexible engagement models that match how DNN work actually unfolds. A dedicated specialist works as an extension of your team on ongoing maintenance, feature development, and support, usually on a long term basis. A pod combines a senior DNN engineer with QA and technical leadership, which suits upgrades, security overhauls, and migrations that need speed and shared knowledge. A contract engagement covers a defined scope, such as a platform audit or a single module rebuild, with clear deliverables and timelines. Many clients start with one model and shift to another as their priorities evolve, and we support that transition without disrupting delivery.
How do you ensure time zone alignment with a team skilled in Dotnetnuke?
SoftDoes focuses on clients across the US and Canada, and we structure every engagement so our engineers overlap meaningfully with your core business hours. That overlap matters for DNN work, because upgrades and security patches often run in planned maintenance windows that require live coordination with your IT staff, content editors, and stakeholders. Before an engagement starts, we agree on shared working hours, communication channels, standup schedules, and escalation paths. Your team gets real time answers during the day, not overnight delays. When a critical issue appears on the portal, someone who understands your system is available to respond and resolve it quickly.
How does SoftDoes technically vet developers for Dotnetnuke expertise?
Our vetting goes well beyond resume keywords. Candidates walk through real architectural decisions, such as choosing between Web Forms, MVC, and SPA modules, and explain how they use the DNN Services Framework and Web API. They complete practical exercises that reflect actual client work, including reviewing flawed module code, planning upgrade paths across major versions, and designing caching for slow pages. We probe security knowledge around patching, file upload settings, and IIS hardening. We also assess communication, because DNN engineers regularly explain risks to nontechnical stakeholders. Only engineers who demonstrate hands on depth and sound judgment join our pre vetted talent bench.
What support is available for scaling the team after launch as our Dotnetnuke needs grow?
Once your initial engineer or pod is delivering, SoftDoes makes it simple to adjust capacity as your needs change. If your backlog grows, a migration gets approved, or you add new portals, we can bring in additional DNN specialists, QA engineers, or developers skilled in your target platform without restarting the hiring process. Because we deliver through a team model, new members inherit documentation and context from the existing team, so ramp up stays short. Our replacement guarantee also protects continuity if an engineer is not the right fit. You can scale down just as smoothly when a major project wraps up.
How to Hire Developers Skilled in Dotnetnuke
Most companies still running Dotnetnuke learn the hard way what an underqualified hire costs. A developer who treats the platform like generic ASP.NET breaks a custom module during an upgrade, leaves a known vulnerability unpatched, or quietly stalls a migration for months. The right specialist does the opposite: they stabilize the portal, keep it secure, and give leadership a clear path forward, whether that means modernizing in place or moving to a new CMS. This guide walks you through what real DNN expertise looks like, how to scope the role, where to source candidates, and how to vet them before they touch production.
What Dotnetnuke Really Does and Why the Right Expertise Matters
How Dotnetnuke Works in Production: The Daily Engineering Reality
Dotnetnuke, now distributed as the open source DNN Platform, is a content management system and application framework built on Microsoft ASP.NET. It runs on the .NET Framework with SQL Server and IIS. In production, it often powers enterprise intranets, association websites, and member portals where one installation serves multiple sites. That architecture makes it powerful, but also demanding to maintain. Here is what a skilled engineer actually handles:
- Building and maintaining custom modules. Modules are the primary unit of functionality in DNN. A strong developer builds them as Web Forms user controls, MVC modules, or SPA modules backed by the DNN Services Framework and Web API, and knows which pattern fits the feature, the team, and the long term upgrade plan.
- Planning and executing version upgrades. Upgrades must follow supported paths across major versions. Your engineer audits every third party module for compatibility, identifies abandoned extensions from inactive DNN Store vendors, tests custom skins in staging, and prepares rollback steps so a failed upgrade never takes the live portal down.
- Managing portals, pages, roles, and permissions. One installation can host several portals, each with its own pages, module instances, and security roles. The developer configures permissions so that editors, members, and administrators see exactly what they should, and nothing more, across every site the business depends on daily.
- Hardening security. Several critical vulnerabilities have affected older DNN versions. A qualified engineer keeps the platform patched, removes unused modules that widen the attack surface, locks down file upload settings, and hardens IIS and web.config so the portal withstands automated scans and targeted attacks alike.
- Tuning performance under real load. Heavy pages with many module instances slow down quickly. The developer configures caching providers and output caching, routes static assets through a CDN, maintains SQL Server indexes, and trims module overhead so content loads fast for internal staff and public visitors during peak traffic.
- Designing skins, themes, containers, and providers. Layout lives in skins and containers, while providers handle authentication, caching, and other services. Your engineer builds these cleanly, connects the portal to single sign on or external identity systems, and keeps presentation separate from business logic for easier maintenance later.
Why Deep DNN Expertise Is a Strategic Business Decision
- System stability. A developer who understands the DNN lifecycle prevents the outages that come from careless upgrades, incompatible modules, and unmanaged configuration changes. Your intranet or member portal stays available, your staff keeps working, and your leadership stops treating every platform update as a risky event requiring weekend coverage.
- Faster, more predictable delivery. Engineers who already know the module patterns, the Services Framework, and the admin personas skip the learning curve. They estimate accurately, ship features in fewer iterations, and avoid rework caused by fighting the framework instead of working with its built in conventions and extension points.
- Lower technical debt. Many DNN sites carry years of patched modules and inline fixes. An experienced engineer identifies which customizations still earn their keep, retires the rest, and documents what remains. That cleanup reduces maintenance cost and makes any future migration or modernization far less painful for everyone involved.
- A realistic path forward. Because DNN has not moved to modern .NET, hosting options narrow over time. An expert helps you decide whether to invest in the current platform or plan a migration, and gives you a grounded technical assessment instead of a sales pitch from a vendor with an agenda.
Getting Ready Before You Hire a Dotnetnuke Specialist
Clarify What You Need Before You Start Sourcing DNN Talent
Before you open a role, get your internal picture straight. Inventory your DNN installations, versions, custom modules, and third party extensions. Decide whether your priority is maintenance, new features, a security cleanup, or a full platform move. If the portal is part of a broader product, it helps to frame the hire alongside your wider web application development roadmap so the new engineer supports the direction of the whole system, not just the CMS. The three questions below shape almost every hiring decision you will make.
Map the Project Scope and Your Current Architecture
Start with an honest architecture audit. Document which DNN version you run, how many portals share the installation, which modules are custom built, and which come from vendors who no longer support them. Note your hosting setup, IIS configuration, SQL Server version, and any integrations with identity providers, CRMs, or payment systems. Then define the work: ongoing support, a feature backlog, an upgrade across major versions, or a migration to Umbraco, Orchard Core, Kentico Xperience, Optimizely, or a headless CMS. A clear scope lets candidates judge fit quickly and lets you compare proposals on the same terms instead of guessing.
Choose the Right Seniority Level and Supporting Stack
A straightforward module fix can suit a mid level developer, but upgrades, security hardening, and migrations call for a senior engineer who has handled them before. Look beyond DNN itself. Strong candidates should be fluent in C#, ASP.NET Web Forms and MVC, SQL Server, IIS administration, and modern JavaScript for SPA modules. If you plan to migrate, add experience with your target platform, content export tooling, and URL redirect strategy. Also consider team dynamics: will this person work alone, mentor junior staff, or collaborate with designers and content editors? That answer changes how much communication and leadership skill you should require.
Decide Between an In House Hire and a Dedicated Remote Pod
Your deployment model matters as much as the individual. An in house hire makes sense when DNN is core to operations for years and you want the knowledge inside the company. The tradeoff is a long search, because experienced DNN engineers are a shrinking pool. A dedicated remote pod, typically a senior DNN developer supported by QA and a technical lead, suits upgrades, migrations, or backlogs that need speed and coverage. Pods also reduce key person risk, since knowledge is shared across the team. Many companies start with a pod for the heavy lift, then keep one specialist for ongoing maintenance afterward.
Writing a Requirement Profile That Attracts Real Dotnetnuke Experts
- The technical mission. State the problem plainly: upgrade a legacy portal to a supported version, harden a public site, rebuild modules, or migrate off the platform entirely. Senior candidates respond to clear missions, and a precise brief filters out generalists who would otherwise apply with only surface level CMS experience.
- The ecosystem and tooling. List your DNN version, the module types in use, your skins and containers, SQL Server and IIS versions, source control, and deployment pipeline. Mention key third party modules by function. This detail tells experts exactly what they will inherit and helps them flag risks during the first conversation.
- Team dynamics. Explain who the engineer reports to, who they collaborate with, and how decisions get made. Clarify whether they will work with content editors, marketing, or other developers, and how often. Candidates who thrive in your structure will recognize themselves, and those who would struggle will self select out early.
- System impact. Describe what success looks like in business terms: a stable intranet for your staff, a secure member portal, faster page loads, or a clean migration without lost search rankings. Connecting the role to outcomes attracts engineers who care about results rather than just closing tickets on a board.

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Sourcing, Vetting, and Onboarding Your Dotnetnuke Team
A Practical Hiring and Vetting Process for DNN Developers
Hiring for a mature platform like DNN takes a different approach than hiring for a trendy framework. The talent pool is smaller, many strong engineers are not actively job hunting, and resumes rarely show whether someone has survived a difficult upgrade. Your process needs to source efficiently and then test real, hands on judgment.
Where to Find Qualified Dotnetnuke Engineers
Standard outbound recruiting casts a wide net: job boards, LinkedIn searches, and agency outreach. It can work, but for DNN it is slow, because most results are general .NET developers who touched the platform briefly. Screening them consumes weeks of your engineering leads' time. Pre vetted talent networks shorten that cycle by presenting engineers with a proven Dotnetnuke track record, already assessed for module development, upgrades, and security work. Working with a curated talent network means you interview a short list of people who can actually do the job, rather than filtering hundreds of loosely matched profiles yourself before finding one worth hiring.
How to Vet Candidates Beyond the Resume
A resume listing DNN proves little. Ask candidates to walk through an architectural choice they made, such as building an MVC module versus a SPA module with Web API, and why. Give a practical task: review a flawed module, plan an upgrade path across major versions, or design caching for a slow page. Add constraints like an abandoned third party module or a tight maintenance window, and watch how they reason under pressure. Finally, assess culture fit through communication: can they explain risks clearly to nontechnical stakeholders? The best engineers pair technical depth with calm, transparent decision making in every conversation.
Onboarding That Gets Your DNN Engineer Shipping in 90 Days
- First 30 days: access and discovery. Grant repository, staging, hosting, and SQL Server access on day one. Pair the engineer with whoever knows the portal best, share architecture notes, and have them audit modules, versions, and security settings. The goal is a written assessment of risks, quick wins, and priorities for the quarter.
- Days 31 to 60: first production contributions. The engineer ships small, contained improvements such as a patched vulnerability, a module fix, or a caching adjustment. Each change goes through code review, staging tests, and your deployment pipeline. This stage builds trust, confirms the workflow is smooth, and surfaces any gaps in your process documentation.
- Days 61 to 90: ownership and roadmap. The engineer now owns a defined area, whether that is an upgrade plan, a module rebuild, or migration preparation. They present a roadmap with estimates and dependencies to leadership. By this point, they should ship production ready code independently and support editors and administrators without constant hand holding.
Making a Confident Hiring Decision
Warning Signs and Strong Signals in Dotnetnuke Candidates
Red flags
- Treats DNN as plain ASP.NET. The candidate talks about writing pages directly and ignores modules, skins, and providers. That approach bypasses the framework, creates code that breaks on upgrade, and leaves your team maintaining a tangle of customizations nobody else understands or can safely extend later.
- No real upgrade experience. They cannot describe supported upgrade paths, how they checked third party module compatibility, or how they tested custom skins. Upgrades are where DNN projects most often fail, so vague answers here signal real risk to your production portal and your internal users.
- Casual attitude toward security. They do not mention patching, removing unused modules, file upload restrictions, or hardening IIS and web.config. Given the critical vulnerabilities that have affected older DNN versions, a developer who overlooks security basics can expose your organization to serious and entirely avoidable incidents.
- Unrealistic migration promises. They claim a migration to another CMS will be quick and simple without asking about custom modules, content volume, or URL structure. Experienced engineers know migrations require content export, redirect planning, and module rebuilds, and they say so honestly from the start.
Green flags
- Explains module pattern tradeoffs clearly. They can compare Web Forms, MVC, and SPA modules, describe when the DNN Services Framework and Web API make sense, and justify their choice based on maintainability. That kind of reasoning shows genuine architectural judgment rather than habit or copied tutorials.
- Brings a structured upgrade method. They describe auditing extensions, replacing abandoned modules, staging tests, and rollback planning without being prompted. A candidate who volunteers this process has clearly managed upgrades before and understands what can go wrong in real production environments with real users.
- Thinks in performance layers. They discuss caching providers, output caching, CDN configuration, SQL Server index maintenance, and module overhead together. Engineers who view performance as a system, not a single setting, fix slow portals faster and keep them fast as content and traffic grow.
- Gives honest platform advice. They can explain the limits of staying on the .NET Framework and outline when a migration makes sense and when it does not. That candor protects your budget and shows they will act as a trusted advisor, not a yes person.
How SoftDoes Helps You Hire DNN Talent Faster and Safer
SoftDoes is a North America focused software engineering and talent delivery partner serving clients across the US and Canada. We give you immediate access to pre vetted senior engineers experienced in Dotnetnuke, already tested on module development, upgrades, security hardening, and performance tuning. Instead of isolated freelancers, we deliver through a team model with technical oversight, so knowledge never sits with one person. Our replacement and scaling guarantees protect your timeline if needs change. Engagements flex from a single specialist to a full pod, and if your roadmap points toward a new CMS, we can pair DNN experts with WordPress developers for a smooth migration.
Ready to Bring Dotnetnuke Engineers onto Your Team?
Your DNN platform deserves engineers who know it inside and out. Whether you need to stabilize a legacy portal, complete a difficult upgrade, lock down security, or plan a migration with no lost traffic, SoftDoes can match you with the right specialist or pod quickly. Schedule a discovery call with our team today. We will review your current setup, clarify scope and seniority, and present qualified candidates who are ready to start delivering results.

















































