Hire Coldbox Developers With U.S. Support
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Senior Coldbox Engineers
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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 Coldbox Developers
can build

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.


Not sure which engagement model fits?
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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What we do for you
From sourcing and vetting to onboarding and ongoing support, we handle the entire process so you can focus on building products instead of managing hiring.
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Frequently Asked Questions
Everything you need to know about working with SoftDoes. Can’t find an answer?
How long does it typically take to hire developers with proven Coldbox expertise?
Timelines depend heavily on sourcing method. Standard outbound recruiting for Coldbox talent typically takes several weeks to a couple of months, since the pool of developers with real WireBox, handler based routing, and module system experience is smaller than the broader CFML market, and much of that time goes to filtering out generalists. Working with a pre vetted talent network shortens this considerably, often down to days, because the technical screening has already happened before you see candidates. The remaining time usually goes to fit interviews, a practical technical exercise, and confirming availability that matches your project start date.
What does it cost to hire a developer or team with deep Coldbox expertise?
Cost varies based on seniority, engagement model, and whether you need a single developer or a full pod. A mid level developer handling defined tickets within an existing architecture costs less than a senior architect making independent WireBox and module design decisions on a migration project. Dedicated pods typically cost more per month than a single hire but reduce risk and often deliver faster, since the team already works together. Rather than quoting a flat number that ignores your actual scope, the most reliable approach is to define your requirements first, then get a specific quote based on the seniority and team size your project genuinely needs.
What engagement models are available for Coldbox projects, such as a dedicated hire, a pod, or a contract?
SoftDoes offers flexible engagement models built around what the project actually requires rather than a single fixed structure. A single dedicated specialist fits well when you have an existing Coldbox codebase and established conventions and just need additional capacity. A full pod, combining multiple developers with shared context, fits better for migrations, new builds, or projects requiring architecture level decisions made quickly. Contract engagements work for defined, time bound projects with a clear scope and end date, while longer dedicated arrangements suit ongoing product development. You can also scale between these models as the project evolves without restarting the hiring process each time.
How do you ensure time zone alignment with a team skilled in Coldbox?
SoftDoes focuses on serving clients across the US and Canada, and talent is sourced and matched with time zone overlap as a core part of the placement process, not an afterthought. This means daily standups, code reviews, and collaborative work happen during your actual business hours rather than requiring your internal team to adjust their schedule around a distant team. For pods handling more complex Coldbox work, like migrating legacy CFML systems, consistent overlapping hours also make architectural discussions and troubleshooting far more efficient than handing off async updates across a large gap.
How does SoftDoes technically vet developers for Coldbox expertise?
Vetting goes well beyond a resume listing Coldbox or ColdFusion. Candidates are evaluated on their understanding of WireBox dependency injection, handler based routing, the module system, and how they approach testing with TestBox. This includes discussing real architectural decisions from past projects, such as how they structured a module or configured binder lifecycles, alongside a practical exercise built around a realistic Coldbox scenario. Problem solving under constraints and communication are assessed too, since a technically capable developer who cannot explain their reasoning clearly or collaborate well slows down a team regardless of raw skill. Only developers who clear this full process get presented to clients.
What support is available for scaling the team after launch as our Coldbox needs grow?
Every SoftDoes engagement includes scaling support built in from the start, so growing a team is not a separate negotiation later. If your Coldbox application expands, adds new modules, or takes on a larger migration scope, additional developers already familiar with your codebase and conventions can join the existing pod rather than starting a fresh search each time. Replacement guarantees also mean that if a team member needs to be swapped out, continuity is preserved because the rest of the pod retains full context on your architecture, reducing the ramp up time a brand new hire would otherwise require.
How to Hire Developers Skilled in Coldbox
Too many companies hire a general full stack developer, hand them a Coldbox codebase, and watch weeks disappear to convention mismatches, broken dependency wiring, and modules that never quite integrate. Coldbox rewards teams who understand its structure: WireBox injection, handler based routing, LogBox logging, and the module system that lets applications scale without duplication. Get the hire right and you ship stable, maintainable CFML applications on schedule with a team that already speaks the framework. Get it wrong and you inherit technical debt in a language few generalists actually know. This guide walks you through defining the role, vetting real Coldbox expertise, and bringing a qualified developer or pod onboard without guesswork.
Understanding Coldbox and Why Real Expertise Matters
What Coldbox Developers Actually Build and Maintain Day to Day
Coldbox is a convention over configuration MVC framework for CFML, the scripting language behind Adobe ColdFusion and Lucee. It sits on top of WireBox for dependency injection and LogBox for logging, giving teams a structured way to build, test, and maintain applications instead of stitching together ad hoc CFML templates. In real production environments, a developer skilled in Coldbox handles a specific, recurring set of technical tasks:
- Building and maintaining event handlers that map incoming requests to application logic, replacing the older template based routing where every URL corresponded directly to a physical .cfm file on disk, a shift that keeps routing centralized, testable, and easier to reason about as the application grows.
- Configuring WireBox binders to manage object lifecycle and dependency wiring across services, models, and handlers, so large applications avoid manually instantiating every component by hand and instead rely on a predictable, centrally managed injection container that scales cleanly as the codebase expands.
- Packaging reusable functionality, models, handlers, views, and configuration, into self contained Coldbox modules that can be shared across multiple applications rather than copy pasted between projects, reducing duplication and making updates to shared logic far easier to roll out consistently.
- Writing and maintaining unit and integration tests in TestBox, the companion BDD testing framework that runs inside the same CFML runtime as the application, so regressions in handlers, services, and models get caught before code reaches production rather than after.
- Managing local development, dependencies, and package installs through CommandBox and ForgeBox, scripting build and deployment tasks so environment setup stays consistent across a distributed team instead of depending on manually configured local machines.
- Validating module compatibility and application behavior across both Adobe ColdFusion and Lucee, since teams choosing between the two commercial and open source CFML engines need code and third party modules that behave predictably regardless of which engine runs in production.
The Business Case for Hiring Real Coldbox Expertise, Not Generalists
- System stability: a developer who understands WireBox wiring and handler based routing builds applications that fail predictably and recover cleanly, instead of introducing the subtle dependency and lifecycle bugs that generalist CFML developers unfamiliar with Coldbox conventions tend to leave behind in production code.
- Accelerated delivery cycles: convention over configuration only speeds up delivery when the team actually follows the conventions, so a developer fluent in Coldbox ships new handlers, services, and modules faster because they are not relearning the framework's structure on every ticket they pick up.
- Lower technical debt: modules built the way Coldbox intends, self contained, testable, and decoupled from the rest of the application, keep the codebase maintainable over time instead of accumulating the tangled dependencies that come from bypassing WireBox and hardcoding wiring by hand.
- Scalable architecture: applications built on handler based routing and a proper module system can grow new functionality without rewriting existing routes or services, letting the business add features and integrations without the codebase becoming harder to extend with each release cycle.
Preparing to Hire the Right Coldbox Talent
Getting Your Internal Requirements Right Before You Source Coldbox Talent
Before writing a job description or contacting a staffing partner, get clear internally on what the role actually needs to accomplish. A vague request for a Coldbox developer produces a flood of resumes that look similar on paper and wildly different in practice. Spend time upfront defining scope, seniority, and team structure so the sourcing process filters for fit rather than keywords.
Mapping the Architecture and Scope Before You Post the Role
Start by documenting what the Coldbox application actually looks like today: how many modules it runs, whether it integrates with legacy unstructured CFML that still needs modernizing, which CFML engine it runs on, Adobe ColdFusion or Lucee, and where WireBox binder configuration currently lives. If the project is a migration of an older CFML codebase into Coldbox's handler based structure rather than greenfield development, say so explicitly, because that work demands a different skill set than building new modules from scratch. This scoping exercise, done before sourcing begins, prevents mismatched hires and gives candidates a realistic picture of what they are walking into.
Matching Seniority to the Surrounding Technology Stack
Coldbox rarely runs in isolation. Most production applications also depend on a database layer, a frontend framework, CommandBox managed dependencies, and often integrations with other services entirely. Define upfront whether you need a senior architect capable of making WireBox and module design decisions independently, or a mid level developer who can execute within an architecture someone else has already defined. Also map out the complementary stack: if the team is expanding beyond CFML into modern backend services, understanding what a broader engineering partner offers, including our custom software development services, helps you plan hiring beyond just the immediate Coldbox req.
Choosing Between an In House Hire and a Dedicated Remote Pod
A single in house hire works when you have an existing Coldbox codebase, established conventions, and just need another set of hands. A dedicated remote pod makes more sense when you are migrating a legacy CFML system, launching a new Coldbox application, or need architecture level decisions made without waiting on a lengthy individual search. Pods also solve continuity: if one developer leaves, the rest of the team keeps context and momentum, whereas a single hire leaving mid project can stall delivery entirely. Weigh how much architectural ownership the work actually requires before deciding which model fits your situation.
What a Strong Coldbox Requirement Profile Actually Covers
- The technical mission: state plainly what the developer will own, whether that is building new modules, migrating legacy CFML into Coldbox's handler based structure, or maintaining an existing WireBox configuration, so candidates understand the actual mandate rather than a generic list of responsibilities.
- The ecosystem and tooling: name the specific pieces in play, WireBox, LogBox, TestBox, CommandBox, ForgeBox, and whether the application runs on Adobe ColdFusion or Lucee, so experienced Coldbox developers can immediately gauge whether their background lines up with your environment.
- Team dynamics: describe how the developer will work day to day, reporting lines, code review expectations, whether they join an existing pod or work alongside your internal team, since Coldbox's structured conventions only pay off when the whole team follows them consistently.
- System impact: explain what the application actually does for the business and who depends on it, because a developer who understands the stakes of the system they are maintaining makes better architectural tradeoffs than one treating the work as an isolated technical exercise.

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Finding, Vetting, and Onboarding Your Coldbox Team
How to Actually Source and Vet Candidates Who Know Coldbox
Sourcing Strategy: Outbound Recruiting vs. Pre Vetted Talent Networks
Standard outbound recruiting for Coldbox talent is slow because the pool is small and generic job boards surface CFML generalists rather than developers who actually know WireBox, handler based routing, and the module system. Posting a role and waiting for applicants often means months of screening candidates who list ColdFusion on a resume but have never built a Coldbox module. A pre vetted talent network with a proven Coldbox track record shortcuts that process entirely, since the technical screening already happened before you ever see a candidate profile, and you can move straight to evaluating fit for your specific project.
Vetting Beyond the Resume: What Actually Proves Coldbox Fluency
A resume listing Coldbox proves nothing on its own. Real vetting means asking a candidate to walk through architectural decisions they made in a past Coldbox project, why they structured a module a certain way, how they configured WireBox bindings, or how they decided between Adobe ColdFusion and Lucee for a given engine. Pair that with a practical live coding or system design exercise built around a realistic handler and service scenario, then observe how they handle constraints like legacy code, tight deadlines, or ambiguous requirements. Culture fit matters too, since a technically strong developer who cannot communicate clearly slows a team down regardless of skill.
Getting a New Coldbox Hire Productive in the First 30, 60, and 90 Days
- Days one through thirty: grant repository, environment, and CommandBox access on day one, walk the new developer through the existing module structure and WireBox binder configuration, and pair them on a small, contained ticket so they learn your specific conventions before touching core handlers or shared services.
- Days thirty through sixty: expand ownership to a full feature or module, with code review from a senior teammate focused on adherence to Coldbox conventions rather than just correctness, and confirm they are writing TestBox coverage for new work as a standard part of their process.
- Days sixty through ninety: hand off ownership of a meaningful piece of the application, whether that is a module, an integration, or a migration task, and use this period to confirm they can make independent architectural decisions that hold up under your team's review standards.
Making the Right Hiring Decision
Red Flags and Green Flags That Reveal Real Coldbox Mastery
- Red flag: they cannot explain the difference between Coldbox's handler based routing and raw CFML's older template based approach, or describe it vaguely, which suggests resume knowledge rather than hands on experience building and maintaining real Coldbox applications in production.
- Red flag: they describe wiring dependencies manually instead of through WireBox binders, a sign they have worked adjacent to Coldbox without actually using its dependency injection container the way the framework intends applications to be structured.
- Red flag: they cannot speak to TestBox or describe how they test handlers and services, suggesting their prior Coldbox work skipped testing discipline entirely, a pattern that tends to surface as instability once the application reaches production scale.
- Red flag: they treat every CFML engine the same and cannot discuss differences between Adobe ColdFusion and Lucee, missing a distinction that matters immediately once module compatibility or licensing questions come up on a real project.
- Green flag: they can walk through a real module they built, explaining why they packaged specific functionality together and how other applications reused it, demonstrating they understand Coldbox's module system as a design tool, not just a folder structure.
- Green flag: they describe specific WireBox binder decisions, including lifecycle scopes and how they avoided circular dependencies, showing they have actually configured dependency injection under real constraints rather than relying on framework defaults without understanding them.
- Green flag: they mention migrating legacy unstructured CFML into Coldbox's conventions as a project they have done, a strong signal of deep structural understanding since that work requires knowing both the old and new paradigms well enough to bridge them.
- Green flag: they ask informed questions about your existing architecture, your CFML engine choice, and your module structure before committing to an approach, showing they think about system impact rather than jumping straight to writing code.
Why Partnering with SoftDoes Gives You an Edge
SoftDoes gives you immediate access to pre vetted senior developers with real Coldbox experience, already screened for the architectural judgment and testing discipline covered above, so you skip months of resume filtering. We deliver through teams, not isolated freelancers, meaning a pod with shared context and continuity rather than a single point of failure if one person leaves mid project. Every engagement includes replacement and scaling guarantees, so the team grows or adjusts as your Coldbox needs change without you restarting the hiring process. If your stack extends beyond CFML, the same delivery model covers roles like our Node developers for complementary backend work.
Ready to Hire Coldbox Engineers?
If you are ready to bring on a developer or a full pod with proven Coldbox expertise, SoftDoes can move fast. We serve companies across the US and Canada with flexible engagement models, from a single specialist embedded in your existing team to a complete dedicated pod handling an entire migration or build. Schedule a discovery call with SoftDoes today to walk through your project scope, your timeline, and the right engagement model for your Coldbox hiring needs.

















































