Hire Liquid Developers With U.S. Support
Hire Liquid Developers at SoftDoes — vetted, senior engineers backed by a U.S. delivery team. Start with one, scale to a full team.
Senior Liquid 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 Liquid 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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Work with senior-level engineers through a clear and scalable engagement model built for modern teams. No hidden fees, long hiring cycles, or unpredictable outsourcing costs — just vetted talent, flexible collaboration, and full operational transparency from day one.
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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 Liquid expertise?
Through traditional recruiting, hiring a senior Liquid developer often takes two to three months once you count sourcing, screening, several interview rounds and a notice period. Much of that time is spent filtering out candidates who have only adjusted purchased themes and never built production architecture. Working with a pre vetted partner shortens the process considerably, because technical screening is already done before you see a profile. With SoftDoes, clients usually review a short list of qualified Liquid engineers within days and can have a developer or pod working on their theme within a couple of weeks, depending on scope and availability.
What does it cost to hire a developer or team with deep Liquid expertise?
Cost depends on seniority, location, engagement length and whether you hire one specialist or a full pod. An internal senior hire in the US or Canada carries salary, benefits, recruiting fees and the cost of the months spent searching. A dedicated remote engineer or pod through a delivery partner usually has a predictable monthly rate with no recruiting overhead and no long term commitment. The more useful question is total cost of ownership, because a poorly built theme often needs an expensive rebuild later. SoftDoes provides a clear estimate after a short discovery call about your scope and goals.
What engagement models are available for Liquid projects, such as a dedicated hire, a pod, or a contract?
SoftDoes offers several models so you can match the engagement to the work. A dedicated developer joins your team full time and works inside your processes, which suits steady theme development and maintenance. A pod combines a senior Liquid engineer with QA, design support and a delivery lead, which fits redesigns, migrations to Online Store 2.0 or larger feature roadmaps. A contract engagement works well for a defined project such as a performance audit or a section library build. You can move between models as priorities change, scaling the team up for a launch and back down afterward.
How do you ensure time zone alignment with a team skilled in Liquid?
SoftDoes focuses on clients across the US and Canada, so we plan working hours around your business day from the start. Every engagement includes agreed core overlap hours for standups, reviews and live collaboration with your marketing and product teams. This matters for storefront work, because campaign launches, sale events and urgent fixes rarely wait for the next morning. Delivery leads coordinate handoffs, keep tickets and documentation current, and make sure nothing stalls between time zones. Before the engagement begins, you confirm the overlap you need, and we match engineers whose schedules support it consistently over the long run.
How does SoftDoes technically vet developers for Liquid expertise?
Our vetting goes well beyond reviewing a resume or a list of stores. Senior engineers interview each candidate about theme architecture, including how they design sections, blocks and schema settings, why they use render instead of include, and how they structure data with metafields and metaobjects. Candidates complete a practical task, such as building an editable section or refactoring a slow template under a performance constraint. We also check their workflow with Shopify CLI, GitHub and staging themes, their knowledge of where Liquid ends, and their communication with nontechnical stakeholders. Only engineers who pass every stage join our talent network.
What support is available for scaling the team after launch as our Liquid needs grow?
Launch is usually the start of the real work, not the end. After go live, SoftDoes can keep your original engineers on a maintenance plan, add developers for new features, or expand into a full pod when you enter new markets or redesign key templates. Because our engineers work within a delivery team, knowledge stays documented and shared, so adding people does not mean starting from zero. If a team member needs to be replaced, our guarantee covers a smooth transition with proper handover. You keep full ownership of the codebase and can adjust the team size whenever priorities shift.
How to Hire Developers Skilled in Liquid
Most storefront problems start with a rushed hire. A developer who learned Liquid from a few tutorials ships a theme that looks fine on launch day, then slows to a crawl as the catalog grows, breaks every time marketing edits a page, and needs a rebuild within months. The right Liquid engineer delivers the opposite: a fast, stable theme your team can update without opening a ticket. This guide explains what Liquid work really involves, how to define the role, where to source proven specialists, how to vet them beyond the resume, and how to onboard them so they ship quickly.
What Liquid Really Does and Why Your Storefront Depends on It
Where Liquid Shows Up in Daily Engineering Work
Liquid is an open source template language created by Shopify and written in Ruby. It sits between your store data and the HTML your customers see, using objects for output, tags for logic such as if, for, assign and render, and filters such as money, date and image_url to transform values. In production, Liquid drives almost every page of a Shopify theme. A skilled Liquid developer spends the day on work like this:
- Building sections and blocks for Online Store 2.0 themes. They create JSON templates and reusable sections that merchants can add, remove and rearrange in the theme editor. Each section exposes clear schema settings and blocks, so a marketing manager can launch a new landing page without asking engineering to touch the code.
- Structuring snippets with the render tag. They break the theme into small, focused snippets loaded with render, which has an isolated scope, instead of the deprecated include tag. This keeps variables from leaking between files, makes behavior predictable, and lets several developers work on one theme without stepping on each other.
- Optimizing storefront performance. They avoid nested loops over large collections, cache repeated lookups in variables, and serve images through image_url with width parameters and responsive srcset. They keep heavy JavaScript off pages that do not need it, which protects load times on mobile, where most shoppers browse and buy.
- Modeling content with metafields and metaobjects. They move product specs, size guides, FAQs and brand content into structured data that Liquid templates read and display. This removes hardcoded copy from theme files and lets the content team manage information in the admin instead of waiting on a code deployment.
- Running a professional theme workflow. They develop locally with Shopify CLI, preview changes on unpublished themes, connect the theme to GitHub for version control, and keep separate development, staging and live themes. Nobody edits code directly in the live theme, so every change is reviewed, traceable and easy to roll back.
- Auditing and maintaining existing themes. They run Shopify Theme Check and the Theme Inspector to find slow templates, deprecated syntax and accessibility issues. Then they refactor inherited code from agencies or freelancers into a clean structure, so future features cost less and the theme survives platform updates without surprises.
The Business Case for Senior Liquid Expertise
- Storefront stability during peak traffic. Templates built with efficient loops and clean logic render reliably when traffic spikes during a sale or product drop. Fewer broken pages, missing prices or failed layouts means fewer support tickets and fewer lost orders at the exact moment revenue matters most to your business.
- Faster campaign and feature delivery. When sections and blocks are designed well, marketing builds new pages in the theme editor while engineers focus on real features. Launch cycles shrink from weeks of developer requests to days of self service work, and your roadmap stops competing with routine content updates.
- Lower technical debt over time. Senior developers use current practices like render, JSON templates and structured metafields from the start. That means fewer hacks to unwind later, easier upgrades when Shopify releases new theme features, and a codebase that a new engineer can understand in days instead of struggling through for weeks.
- A theme architecture that scales with the business. As you add markets, languages, product lines and wholesale pricing, a well structured Liquid theme absorbs the growth. Experienced engineers also know where Liquid ends and hand complex logic to apps, Shopify Functions or JavaScript, so the theme never becomes a bottleneck.
Getting Ready Before You Open the Role
Clarifying What Your Liquid Project Actually Needs
Before you publish a job post, get clear on the problem you want solved. Is this a new theme build, a migration from a legacy theme to Online Store 2.0, a performance rescue, or ongoing maintenance? Each one calls for a different profile and budget. Liquid is also used in Jekyll and some email and marketing platforms, but most demand, and likely yours, comes from Shopify theme work, so state that clearly.
Mapping Theme Scope and Architecture
Start with an honest audit of your current theme. List the templates, sections and snippets that exist, which ones are custom, and which come from a purchased theme or past agency work. Note known pain points: slow collection pages, sections marketing cannot edit, apps injecting scripts everywhere, or code edited directly in the live theme. Decide whether you need a fresh build or a refactor. Then define what success looks like, such as faster page loads, a fully editable homepage, or a clean GitHub based workflow. This scope document becomes the brief every candidate is measured against and keeps interviews focused on your real problems.
Choosing Seniority and the Surrounding Stack
A junior developer can adjust templates and styles inside a well built theme. Rebuilding architecture, designing section schemas, or fixing performance at scale needs a senior engineer. Next, list the skills that sit around Liquid in your store. Most theme work also needs strong HTML, CSS and JavaScript, familiarity with Shopify CLI and Git, and comfort with metafields and metaobjects. If your roadmap includes custom checkout logic or private apps, you may need a broader profile, and for larger builds that span beyond the storefront, a partner offering custom software development can cover the wider system design and engineering scope.
Deciding Between an Internal Hire and a Dedicated Remote Pod
An internal hire makes sense when you have steady, long term theme work and the management capacity to mentor and retain a specialist. The trade off is time: recruiting, interviewing and ramping up can take months, and one person becomes a single point of failure. A dedicated remote pod gives you a senior Liquid developer backed by QA, design support and a delivery lead, ready to start within weeks. You can scale the pod up for a redesign and down for maintenance. For most growing brands, a pod reduces risk while keeping ownership of the codebase fully in your hands.
Writing a Role Profile That Attracts Real Liquid Experts
- The technical mission. State the exact outcome you need, such as migrating to an Online Store 2.0 theme, cutting collection page load time, or building a library of editable sections. Strong Liquid developers respond to concrete problems, while vague posts asking for a Shopify wizard attract generalists who learned templating last month.
- The ecosystem and tooling. Name your theme base, the apps installed, your use of metafields and metaobjects, and your workflow with Shopify CLI, GitHub and staging themes. This lets candidates judge fit quickly and shows them you run a professional setup, which is exactly what experienced engineers look for in a client.
- Team dynamics. Explain who the developer works with every day: designers, marketing managers editing pages, a product owner, or other engineers. Describe how work is planned, reviewed and released. Clear expectations about communication, code review and time zone overlap help you filter for people who collaborate well, not just people who code well.
- System impact. Describe how the theme connects to revenue and operations, from conversion rates to how fast campaigns go live. When candidates understand that their templates affect checkout flow and customer experience, the best ones show it by asking smart questions about analytics, performance budgets and the risks of each change.

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Sourcing, Vetting and Onboarding Liquid Talent
A Hiring Process That Separates Specialists From Generalists
Many developers list Shopify on their profile, but far fewer can design a maintainable theme. Your process has to reveal that difference early, before you invest weeks of interviews. Focus on where you find candidates and how you test real Liquid judgment, not keyword matches.
Where to Find Proven Liquid Developers
Standard outbound recruiting means posting jobs, screening dozens of profiles, and hoping someone who claims Shopify experience has actually built production themes. It works, but it is slow and costly, and many applicants have only edited purchased themes. Pre vetted talent networks shortcut this by presenting engineers who already passed technical screening and have a track record of shipped Liquid work. A curated talent network lets you review a short list of senior candidates with relevant theme experience in days, not months. Ask any source for code samples, live store examples and references from comparable projects before the first interview.
Testing Real Skill, Not Just Keywords
A resume tells you where someone worked, not how they think. Ask candidates to explain architectural choices: how they structure sections and blocks, when they use render, and how they decide what belongs in metafields. Give a practical task, such as building an editable section with schema settings or refactoring a slow collection template with nested loops. Add a constraint, like a strict performance budget, and watch how they solve problems under pressure. Finally, check culture fit: how they explain trade offs to nontechnical stakeholders, handle code review feedback, and document their work for the next developer.
Your First 90 Days With a New Liquid Developer
- Days 1 to 30: access and orientation. Grant access to the Shopify admin with the right staff permissions, the GitHub repository, Shopify CLI setup and a development theme. Walk through the theme structure, known issues and release process. The goal for this phase is a first small fix shipped through the full workflow, from branch to staging.
- Days 31 to 60: ownership of real features. Assign a meaningful piece of work, such as a new section set, a template refactor or a performance pass on collection pages. The developer should run Theme Check, open pull requests for review, and coordinate with marketing on editable settings. By the end, they own a part of the theme confidently.
- Days 61 to 90: improvements and independence. The developer now proposes changes rather than only executing tickets. Expect an audit of technical debt, a plan for performance gains, and documentation for sections and snippets. Review results against the scope you defined at the start, and agree on priorities for the next quarter of storefront work together.
Choosing With Confidence
Warning Signs and Strong Signals in Liquid Interviews
Red flags
- Still relies on the include tag. A candidate who uses include by default and cannot explain why render replaced it is likely working from outdated habits. That often means snippets with leaking variables, unpredictable behavior and a theme that becomes harder to change with each new feature you add.
- Edits code directly in the live theme. If the candidate has no habit of using Shopify CLI, version control and separate staging themes, every change they make puts your revenue at risk. One bad edit during a sale can break pages for shoppers, with no clean history to roll back.
- Ignores performance until someone complains. Watch for nested loops over full collections, full size images without width parameters, and scripts loaded on every page. A developer who treats speed as an afterthought will hand you a theme that feels slow on mobile and quietly hurts conversion.
- Tries to force everything into Liquid. Liquid cannot call external APIs or run arbitrary code. A candidate who proposes elaborate workarounds instead of using apps, metafields, Shopify Functions or JavaScript does not understand the platform's limits, and those workarounds usually turn into fragile, expensive code to maintain.
Green flags
- Designs sections for the people who edit them. Strong candidates talk about schema settings, block types and sensible defaults from the merchant's point of view. They want marketing to build pages without developer help, which shows they think about the business outcome and not only about the code itself.
- Explains a clean, reviewable workflow. They describe local development with Shopify CLI, GitHub integration, pull requests and separate development, staging and live themes without being prompted. That habit protects your store, makes collaboration easy, and signals someone used to working inside serious engineering teams rather than alone.
- Measures performance with real tools. They mention Theme Check, the Theme Inspector and responsive images through image_url and srcset, and they can explain how they diagnosed a slow template in the past. Concrete stories about measured improvements are a reliable sign of senior level mastery of Liquid in production.
- Knows exactly where Liquid stops. Experienced engineers explain clearly when logic belongs in metafields, metaobjects, Shopify Functions, an app or JavaScript. This judgment keeps the theme lean and maintainable, and it shows they understand the whole Shopify platform rather than treating Liquid as the answer to every problem.
What SoftDoes Brings to Your Liquid Team
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 with proven Liquid experience, already screened on theme architecture, performance and modern workflows. You do not get isolated freelancers; you get a delivery team with QA and lead support behind every developer. If a placement is not the right fit, our replacement guarantee covers you, and you can scale from a single specialist to a full pod as needs change. When your storefront connects to ERPs, CRMs or fulfillment systems, we can add API integration developers to the same team.
Ready to Bring Liquid Engineers Onto Your Team?
If your theme is slowing down growth, or you are planning a rebuild and want it done right the first time, talk to us. Schedule a free discovery call with SoftDoes, share your current theme and goals, and we will outline the profile you need, a realistic timeline and the engagement model that fits your budget. You can review senior Liquid candidates within days and start shipping a faster, easier to manage storefront soon after.

















































