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Hire remote Website Redesign Consultant

Discover developers that match your project requirements.

No exact match for this specialty yet — here are related experts from our network.

Aditya P.
Available Now
Verified in SoftDoesAditya P.
DevOps Engineer/ Site Reliability Engineer
US 🇺🇸English (B2)Senior
GoPythonUNIX Shell ScriptingPHP

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.

Aditya P.
Available Now
Aditya P.Verified in SoftDoes
DevOps Engineer/ Site Reliability Engineer
US 🇺🇸English (B2)Senior
GoPythonUNIX Shell ScriptingPHP

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.

Aditya P.
Available Now
Aditya P.Verified in SoftDoes
DevOps Engineer/ Site Reliability Engineer
US 🇺🇸English (B2)Senior
GoPythonUNIX Shell ScriptingPHP

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.

Andrea M.
Available Now
Verified in SoftDoesAndrea M.
AI Solutions Architect/Engineer
IT 🇮🇹English (C1)Senior
PythonLangChainLangGraphGoogle Cloud

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.

Andrea M.
Available Now
Andrea M.Verified in SoftDoes
AI Solutions Architect/Engineer
IT 🇮🇹English (C1)Senior
PythonLangChainLangGraphGoogle Cloud

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.

Andrea M.
Available Now
Andrea M.Verified in SoftDoes
AI Solutions Architect/Engineer
IT 🇮🇹English (C1)Senior
PythonLangChainLangGraphGoogle Cloud

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.

Andrii V.
Available Now
Verified in SoftDoesAndrii V.
Senior Python Engineer
CA 🇨🇦English (C1)Senior
PythonDjangoFastAPIFlask

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.

Andrii V.
Available Now
Andrii V.Verified in SoftDoes
Senior Python Engineer
CA 🇨🇦English (C1)Senior
PythonDjangoFastAPIFlask

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.

Andrii V.
Available Now
Andrii V.Verified in SoftDoes
Senior Python Engineer
CA 🇨🇦English (C1)Senior
PythonDjangoFastAPIFlask

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.

Boris S.
Available Now
Verified in SoftDoesBoris S.
Senior AI/ML Engineer
BG 🇧🇬English (B2)Senior
PythonSQLBashFastAPI

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.

Boris S.
Available Now
Boris S.Verified in SoftDoes
Senior AI/ML Engineer
BG 🇧🇬English (B2)Senior
PythonSQLBashFastAPI

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.

Boris S.
Available Now
Boris S.Verified in SoftDoes
Senior AI/ML Engineer
BG 🇧🇬English (B2)Senior
PythonSQLBashFastAPI

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.

Eugene M.
Available Now
Verified in SoftDoesEugene M.
DevOps Engineer
ES 🇪🇸English (C2)Senior
AWSGoogle CloudKubernetesTerraform

10+ years in IT, 7+ years focused on DevOps/SysOps/SRE. Currently - Tech Lead at a U.S. company.

Eugene M.
Available Now
Eugene M.Verified in SoftDoes
DevOps Engineer
ES 🇪🇸English (C2)Senior
AWSGoogle CloudKubernetesTerraform

10+ years in IT, 7+ years focused on DevOps/SysOps/SRE. Currently - Tech Lead at a U.S. company.

Eugene M.
Available Now
Eugene M.Verified in SoftDoes
DevOps Engineer
ES 🇪🇸English (C2)Senior
AWSGoogle CloudKubernetesTerraform

10+ years in IT, 7+ years focused on DevOps/SysOps/SRE. Currently - Tech Lead at a U.S. company.

Hripsime S.
Available Now
Verified in SoftDoesHripsime S.
AI Engineer | Data Scientist
FR 🇫🇷English (C1)Senior
Deep LearningMachine LearningInterpretabilityConvolutional Neural Networks

AI engineer with 6+ years of professional experience, available to start a new challenging role in stimulating and innovative company.

Hripsime S.
Available Now
Hripsime S.Verified in SoftDoes
AI Engineer | Data Scientist
FR 🇫🇷English (C1)Senior
Deep LearningMachine LearningInterpretabilityConvolutional Neural Networks

AI engineer with 6+ years of professional experience, available to start a new challenging role in stimulating and innovative company.

Hripsime S.
Available Now
Hripsime S.Verified in SoftDoes
AI Engineer | Data Scientist
FR 🇫🇷English (C1)Senior
Deep LearningMachine LearningInterpretabilityConvolutional Neural Networks

AI engineer with 6+ years of professional experience, available to start a new challenging role in stimulating and innovative company.

Mario J.
Available Now
Verified in SoftDoesMario J.
Senior Data Engineer
GT 🇬🇹English (C1)Senior
PythonSQLPandasPySpark

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.

Mario J.
Available Now
Mario J.Verified in SoftDoes
Senior Data Engineer
GT 🇬🇹English (C1)Senior
PythonSQLPandasPySpark

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.

Mario J.
Available Now
Mario J.Verified in SoftDoes
Senior Data Engineer
GT 🇬🇹English (C1)Senior
PythonSQLPandasPySpark

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.

Raphael O.
Available Now
Verified in SoftDoesRaphael O.
Snr. Staff Software Engineer
US 🇺🇸English (Native)Senior
LeadershipAgileBig dataAPI design

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.

Raphael O.
Available Now
Raphael O.Verified in SoftDoes
Snr. Staff Software Engineer
US 🇺🇸English (Native)Senior
LeadershipAgileBig dataAPI design

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.

Raphael O.
Available Now
Raphael O.Verified in SoftDoes
Snr. Staff Software Engineer
US 🇺🇸English (Native)Senior
LeadershipAgileBig dataAPI design

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.

Santiago G.
Available Now
Verified in SoftDoesSantiago G.
DevOps Engineer
US 🇺🇸English (C1)Senior
LinuxBashDockerAnsible

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.

Santiago G.
Available Now
Santiago G.Verified in SoftDoes
DevOps Engineer
US 🇺🇸English (C1)Senior
LinuxBashDockerAnsible

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.

Santiago G.
Available Now
Santiago G.Verified in SoftDoes
DevOps Engineer
US 🇺🇸English (C1)Senior
LinuxBashDockerAnsible

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.

Thierry M.
Available Now
Verified in SoftDoesThierry M.
Senior Infrastructure / Production Engineer
US 🇺🇸English (C1)Senior
AWSGoogle CloudAzureKubernetes

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.

Thierry M.
Available Now
Thierry M.Verified in SoftDoes
Senior Infrastructure / Production Engineer
US 🇺🇸English (C1)Senior
AWSGoogle CloudAzureKubernetes

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.

Thierry M.
Available Now
Thierry M.Verified in SoftDoes
Senior Infrastructure / Production Engineer
US 🇺🇸English (C1)Senior
AWSGoogle CloudAzureKubernetes

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.

Thomas S.
Available Now
Verified in SoftDoesThomas S.
Technical leader at a company AI Core
DE 🇩🇪English (C1)Team Lead
LeadershipMentorshipGenerative AIPyTorch

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.

Thomas S.
Available Now
Thomas S.Verified in SoftDoes
Technical leader at a company AI Core
DE 🇩🇪English (C1)Team Lead
LeadershipMentorshipGenerative AIPyTorch

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.

Thomas S.
Available Now
Thomas S.Verified in SoftDoes
Technical leader at a company AI Core
DE 🇩🇪English (C1)Team Lead
LeadershipMentorshipGenerative AIPyTorch

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.

Tzechung K.
Available Now
Verified in SoftDoesTzechung K.
Lead AI/ML Developer
US 🇺🇸English (Native)Senior
Claude CodeOpenAI CodexGoogle AntigravityLLM Fine-Tuning

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.

Tzechung K.
Available Now
Tzechung K.Verified in SoftDoes
Lead AI/ML Developer
US 🇺🇸English (Native)Senior
Claude CodeOpenAI CodexGoogle AntigravityLLM Fine-Tuning

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.

Tzechung K.
Available Now
Tzechung K.Verified in SoftDoes
Lead AI/ML Developer
US 🇺🇸English (Native)Senior
Claude CodeOpenAI CodexGoogle AntigravityLLM Fine-Tuning

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.

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What our Website Redesign Consultants can build

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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RIGHT expert, FASTER

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How to hire a Website Redesign Consultant

01
BROWSE PROFILESRIGHT NOW

Fill out a short form and see who's on the bench. Real profiles, verified histories.

02
Interview1-3 DAYS

Tell us what you need. We propose two or three candidates from the bench; you interview them directly.

03
OnboardWEEK ONE

Your engineer starts on your project. Contract, payments, and the guarantee run through us.

US VS. THE DATABASE

Time to Start
Talent Quality
Technical Vetting
Flexibility
Operational Overhead
Cost Efficiency
cursor
<SoftDoes>
Time to Start
1-2 weeks
Talent Quality
Senior-only engineers
Technical Vetting
Multi-stage screening
Flexibility
Scale up or down anytime
Operational Overhead
As managed as you want
Cost Efficiency
Competitive, fee-free
Talent Marketplaces
Time to Start
1-3 months
Talent Quality
Mixed experience levels
Technical Vetting
One screen, then gone
Flexibility
Contract restrictions
Operational Overhead
Partially managed
Cost Efficiency
Agency markup
In-House Hiring
Time to Start
2-6 months
Talent Quality
Depends on market
Technical Vetting
Internal responsibility
Flexibility
Long-term commitment
Operational Overhead
Fully internal
Cost Efficiency
Highest total cost

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 take to hire a Website Redesign Consultant through SoftDoes?

Average time to match with a consultant is under 24 hours, and you can interview three to four consultants within 48 hours. Most teams complete the full hiring process, from initial requirements through signed engagement, in two to four weeks. Consultants can start work within two to three days after hiring. For context, full redesign engagements for small businesses (roughly 25 pages) typically take 8 to 14 weeks to deliver, while enterprise sites with 75 or more pages take 14 to 24 weeks or longer. SoftDoes accelerates the front end of that timeline by maintaining a prescreened bench of senior talent, eliminating the months of sourcing and evaluation that traditional recruitment requires.

What does it cost to hire a Website Redesign Consultant?

Consultant rates range from $25 to $150 per hour depending on geography and seniority. Senior consultants typically charge $75 to $150 per hour. Agency rates can reach $150 to $300 per hour. Eastern European consultants charge $40 to $80 per hour, while South Asian consultants typically bill $25 to $60 per hour. Full redesign engagements cost from $5,000 to $150,000 or more depending on scale, integrations, performance requirements, and UX research scope. A typical cost breakdown allocates roughly 20% to 25% to strategy and research, 25% to 30% to UX and UI design, and 35% to 40% to development, with content migration, SEO preservation, and QA as smaller but critical line items. SoftDoes structures pricing around business outcomes and project scope rather than hourly billing alone, so you pay for delivered results, not logged time.

What engagement models are available (dedicated hire, pod, contract)?

SoftDoes offers three primary engagement models. A dedicated hire provides deep integration and long term ownership; the consultant embeds in your team full time and operates as an extension of your engineering organization. A pod model assembles a small, multi disciplinary team (designer, frontend engineer, SEO specialist, content strategist) for a defined project scope; this model is faster to deploy and more balanced for companies that need more website redesign consultants across multiple disciplines simultaneously. A contract or fractional consultant works part time or for a limited scope such as an audit, strategy engagement, or advisory role; this is lower cost and flexible for startups and small businesses that need specialized expertise without full time commitment. You can shift between models as your project evolves, scaling up for launch phases and scaling down for maintenance.

How do you ensure time zone alignment with a Website Redesign Consultant?

SoftDoes requires a minimum of two to four hours of daily overlap between client leadership and the assigned consultant. All consultants use shared documentation, asynchronous communication tools, and structured check ins (daily standups or regular syncs) to maintain momentum regardless of location. For clients who need tighter coordination or have critical deadlines, SoftDoes can assign North America based resources to eliminate large time zone gaps entirely. A local or regional project manager can also be assigned to coordinate across distributed teams when follow the sun support is required.

How does SoftDoes technically vet a Website Redesign Consultant?

The vetting process starts with a portfolio review focused on projects of similar scale and industry, verifying that the consultant has a track record of shipped projects with measurable outcomes. References are checked against specific delivery claims. Each candidate completes a live technical problem scenario aligned with real client challenges: architecting a CMS migration, diagnosing core web vitals failures, or redesigning information architecture for complex user flows. An architecture review tests how they would structure a new site given specific constraints, what performance and SEO choices they would make, and how they would handle content migration. Communication is evaluated under pressure by forcing tradeoff decisions with conflicting constraints. Cross functional culture fit is assessed through meetings with design, product, and engineering stakeholders. Only candidates who clear every stage enter the active talent bench.

What happens if the Website Redesign Consultant isn't the right fit, or I need to scale up or down?

SoftDoes provides a zero risk replacement guarantee. If the consultant does not meet expectations within the first milestone period (typically the first 30 to 60 days), they are replaced at no additional cost. A no risk trial period lasts up to two weeks, giving you time to evaluate fit before full commitment. Scaling is built into every engagement model: you can add designers, engineers, or SEO support into the pod as the project demands it, pause scope during slower phases, or transition from a contract engagement to a dedicated hire as the relationship proves out. Contracts clearly specify ownership of code, design assets, and domain configurations, so transitions between consultants or models do not create intellectual property risk.

The Executive Guide to Hiring a Website Redesign Consultant

Most businesses treat a website redesign like a visual branding exercise and end up paying twice: once for the project, then again to fix the SEO damage, broken conversion paths, and technical debt the first pass left behind. A poorly planned redesign can wipe out years of organic traffic overnight, while the right website redesign consultant can lift conversion rates by 30% or more within months. This playbook gives you a field tested strategy to define, vet, and onboard top tier website redesign consultant talent, built from lessons learned across dozens of enterprise engagements.

What a Bad Hire Actually Costs You

What Separates Senior Website Redesign Consultants from Order Takers

The gap between a senior redesign consultant and an order taker is not about knowing Figma or Adobe XD. It is about who owns outcomes versus who waits for instructions. Here is what real operational ownership looks like on a daily basis:

  • Full lifecycle accountability. They run the redesign from user research and competitive audit through deployment and post launch performance monitoring. They do not stop at approved designs or high fidelity mockups; they own the result in production.
  • Tradeoff management. Every redesign forces choices: page speed versus feature richness, SEO architecture versus CMS flexibility, maintainability versus visual design ambition. A senior consultant articulates where each compromise belongs and quantifies the cost of each path. A junior web designer avoids the conversation entirely.
  • Data driven prioritization. They work inside analytics platforms, heatmaps, and conversion funnels to identify where a redesign matters most. Consultants conduct UX audits to identify site issues, from bounce rate spikes on mobile to conversion drop offs on key landing pages. This is not about making a new site look good; it is about making it perform.
  • Systems thinking across the stack. CMS selection, frontend frameworks, hosting, deployment pipelines, content strategy, information architecture, SEO structure, and compliance requirements (WCAG, HIPAA) all connect. Website redesign consultants improve site navigation and performance because they understand how these systems interact, not because they picked a trendy template.
  • Cross functional alignment. They facilitate decisions across UX designers, content strategists, web developers, SEO specialists, security, and legal. A good consultant communicates progress without being prompted and translates technical constraints into business language for leadership.
  • Risk management. Preserving SEO rankings during URL structure changes, handling legacy integrations without data loss, maintaining uptime during migration. Bad redirects can wipe out years of SEO equity; senior redesign specialists plan for this before writing a single line of code.

Financial and Operational Impact of Getting This Right

The business case for hiring the right website redesign consultant is not abstract. Here are the ROI vectors that matter:

  • Conversion rate lift. Strategic redesigns grounded in UX plus conversion rate optimization deliver 32% to 68% increases in conversion rates. Ignoring conversion paths can drop rates by 50%, and a redesign without CRO testing can worsen conversion rates rather than improve them.
  • Bounce rate reduction and engagement gains. Consultants can reduce bounce rates through better site navigation. Successful redesigns involve defining measurable goals like improving ROI or reducing bounce rates by 20%. Mobile first design is a standard practice for redesign consultants, and mobile performance gaps are often the largest source of lost visitors.
  • SEO traffic recovery and growth. Most redesigns fail due to poor SEO audits. Strategic architecture and speed improvements, including core web vitals optimization, yield 25% to 70% more organic sessions over six to twelve months. Consultants must understand SEO during URL structure changes; skipping this step is how companies lose the organic traffic they spent years building.
  • Risk and cost containment. Lower maintenance overhead, fewer support tickets, fewer performance related outages. In B2B sectors, payback often happens within three to twelve months when the redesign includes proper measurement setup and the traffic base is solid.

Before You Start Sourcing Candidates

Audit Your Technical Constraints First

Before you write a job spec or contact a single candidate, map the constraints that will define what "success" looks like for this hire. Evaluating a website redesign consultant requires clear internal preparation and rigorous evaluation.

Architecture and Technical Debt Assessment

Inventory your current technology stack: CMS, frontend framework, deployment pipeline, hosting, CDN, and any performance bottlenecks. Technical requirements should list mandatory integrations and platform preferences such as WordPress or Shopify. Identify technical debt: outdated websites running multiple conflicting plugins, legacy integrations without APIs, poor mobile performance.

Quantify your baseline metrics. What is the current site's conversion rate, bounce rate, page speed score, and mobile versus desktop performance gap? These numbers become the benchmark against which you measure every candidate's impact. Without them, you are guessing.

Team Dynamics and Autonomy Level

Decide whether this consultant will embed into your existing engineering or product team, or operate as a standalone pod with its own UX, content, and development resources. Consider governance: who makes final decisions on scope tradeoffs? If someone must approve every design iteration or technical policy, momentum slows. If the consultant has clear authority to enforce decisions on performance blockers or scope priorities, delivery accelerates.

Deployment Model Tradeoffs

In house full time equivalents bring institutional knowledge but carry higher cost and slower hiring cycles. Remote vetted talent networks allow speed and flexibility; the risk is looser control unless you set clear structure and communication protocols. Consider time zone coverage: for teams that need daily standups or follow the sun support, ensure at least two to four hours of overlap or assign a local project manager to coordinate.

Building a Hiring Profile That Attracts Senior Talent

Generic job specs attract generic candidates. Distill your profile into four components that filter for the right website redesign consultant:

  • Core outcome and mission. Define the business metric this hire will own. "Increase qualified lead volume by X% within six months" or "Recover lost organic traffic from the last migration" is specific. "Redesign our website" is not.
  • Technical stack reality. List what must be true: experience with React, Next.js, or your framework of choice; knowledge of headless CMS architecture; experience with cloud infrastructure (AWS, GCP, Azure); performance and technical optimization expertise; analytics setup; SEO preservation best practices; mobile first, accessible design following WCAG standards. Consultants should be familiar with tools relevant to your stack, whether that is Screaming Frog for SEO audits or analytics platforms for conversion tracking.
  • Decision making authority. Can they veto features that are performance blockers? Can they own deployment timelines? Can they make scope tradeoffs without a committee? Spell this out. Senior website redesign specialists will not accept a role where every decision requires three layers of approval.
  • Growth trajectory. Define whether this role could expand into leading a team, owning broader digital products, or coaching internal staff. Top redesign experts care about where a consultancy engagement leads, not just the current project.
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Evaluating and Onboarding the Right Consultant

A Vetting Framework That Filters for Real Capability

Sourcing Candidates Without Wasting Cycles

Traditional recruiters bring reach but high risk when it comes to evaluating technical depth and seniority for specialized expertise like website redesign. They screen resumes; they do not evaluate whether a candidate can plan an SEO migration or diagnose a failing conversion funnel. Prescreened engineering talent networks, by contrast, maintain candidates who have already passed technical and strategic evaluations.

Review past redesign portfolios for industry experience and proven results. Consultants should have a track record of shipped projects. Strong case studies should explain reasoning and outcomes rather than just show images of designs. Referrals from industry peers can provide valuable insights into consultants' past performance. Good practice includes asking consultants about their workflow and communication methods during the redesign process.

Vet multiple candidates simultaneously. You can interview three to four consultants within 48 hours using a "speed dating" approach: give each a small, structured problem aligned with your business and compare clarity, speed, and quality of thinking.

Technical Evaluation That Reveals Real Capability

Skip trivia questions. Use live problem solving instead.

Present a scenario aligned with your current site's challenges: migrating a legacy CMS, optimizing core web vitals on a content heavy site, or redesigning the information architecture for a product with complex user flows. Have the candidate walk through tradeoffs in real time. Look for consultants with technical depth beyond visual design.

Include an architecture review. Given your system, how would they structure the new website? What performance and SEO choices would they make? What content migration plan would they implement? Consultants must conduct proper audits before redesigning; candidates who skip this step in a hypothetical will skip it on your project.

Evaluate communication under pressure. Test how they respond when tradeoffs are forced: a compressed deadline, a compliance constraint, conflicting stakeholder demands. Look for clarity. Cut candidates who default to vague reassurances.

Assess cross functional culture fit. Have them meet design, product, engineering, and (if relevant) legal or compliance stakeholders. A web designer who can only speak to other designers is not a redesign consultant; they are a production resource.

Getting Productive Fast: The First 90 Days

A structured ramp up protocol prevents the common failure mode where a new hire spends months "getting up to speed" while your project timeline bleeds out.

Days 1 through 30: Discovery and baseline. Get them installed with access to all tools, analytics, and documentation. They review the current state: baseline metrics, technical debt inventory, content audit. The deliverable is a discovery report with a prioritized backlog identifying what to improve first (mobile performance, page speed, UX bottlenecks, SEO architecture). Align findings with leadership. Check if the consultant guarantees project milestones and transparency in project management from the start.

Days 31 through 60: High impact execution. Begin implementing the highest impact fixes: performance optimizations, navigation changes, key conversion paths, and critical UX flows. Roll out quick wins that reduce risk or lower cost. Start migration strategy if needed. Measure initial improvements: reductions in bounce rate, small conversion lifts, core web vitals progress. Consultants align visual design with brand standards for consistency during this phase, ensuring the new site reflects your brand while performing better.

Days 61 through 90: Launch and measurement. Launch the redesign or complete major sections. Execute full architecture changes, content migration, and SEO migration with proper redirects. Ensure tracking, QA, and accessibility review are complete. Accessibility should be included in the design process following WCAG standards. Conduct a performance review comparing results against the baseline. Adjust the next phase based on early data. Post launch support includes training and ongoing maintenance packages; define these deliverables before you reach this milestone.

Selecting the Right Consultant and Moving Forward

Interview Signals That Predict Success or Failure

Red flags that should end the conversation:

  • Tool obsession without business context. Endless discussion of CSS frameworks, JavaScript libraries, or product design tools without connecting them to business goals. Technical skills matter, but tools are inputs, not outcomes.
  • No lessons from failure. Every experienced consultant has shipped a redesign that did not go as planned. Candidates who cannot discuss where past projects failed, or what they learned, lack the maturity to handle your project's complexity.
  • Overpromising speed without acknowledging constraints. "We can launch in two weeks" without discussing dependencies, compliance, content migration, or SEO preservation is a red flag. Most teams can hire a consultant in two to four weeks; the redesign itself takes real planning.
  • Weak understanding of measurement. If they cannot articulate how they set baselines, track conversion rates, or differentiate correlation from causation in post launch analysis, they will not be able to prove (or improve) their own work.

Green flags that indicate senior capability:

  • Pragmatic tradeoff analysis. When asked, they can say "for this feature, I would sacrifice 200ms of page load" or "we can improve this layout, but at the cost of CMS flexibility for your content team," with specific reasoning rather than vague hedging.
  • Focus on data and system integrity. They talk about analytics instrumentation, technical debt reduction, and SEO architecture before discussing visual design polish. Website redesign consultants improve site performance and user experience; the best ones prove it with numbers.
  • Proactive risk identification. They raise potential hazards before you ask: "if we change the URL structure, we need a redirect map before launch," "the new site must maintain mobile core web vitals scores," "content migration without tracking setup will make it impossible to measure ROI." Consultants must understand SEO during URL structure changes; candidates who bring this up unprompted are demonstrating real work experience.
  • Cross functional leadership evidence. They have led teams that include designers, engineers, SEO specialists, and content strategists. They understand stakeholder management and can act as a design lead who bridges technical and business conversations. Hiring consultants can lead to higher conversion rates for websites, but only when the consultant can align the entire team around measurable outcomes.

Why Engineering Teams Choose SoftDoes

SoftDoes operates as a North America focused custom software engineering and AI partner serving clients across the US and Canada. The model is built for the problems described in this playbook: senior, vetted website redesign experts who are engineering led (not unmanaged freelancers), with rapid deployment capability, the flexibility to scale teams up or down, and a zero risk replacement guarantee. Average time to match with a consultant is under 24 hours. Consultants can start real work within two to three days after hiring. A no risk trial period lasts up to two weeks.

Whether you need a dedicated redesign specialist embedded in your web app development team, a full redesign pod (designer, frontend engineer, SEO, content), or a fractional consultant for strategy and audit, SoftDoes matches the engagement model to your constraints. Contracts clearly specify ownership of code, design assets, and domain configurations. For teams that need WordPress designers or e commerce specialists, the same vetting rigor applies.

Website redesign consultants can enhance mobile usability and accessibility. They help align website design with brand standards. The difference is whether you hire remote talent through an unvetted marketplace or through a network that has already filtered for the technical depth, communication quality, and delivery track record your project requires.

Your Next Step

Every week your outdated website stays live is a week of lost visitors, lower conversion rates, and compounding SEO erosion. Book a technical discovery session with SoftDoes architects to get a tailored roadmap, a realistic cost estimate, and a risk evaluation specific to your current site and business goals. Stop treating your website redesign as a design project. Treat it as the engineering investment it is.

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