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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.
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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.
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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.
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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
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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.
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Hripsime S.Verified in SoftDoes
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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 Customer Journey Mapping 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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How to hire a Customer Journey Mapping 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 Customer Journey Mapping Consultant through SoftDoes?

SoftDoes maintains a bench of prescreened senior talent with deep expertise in customer experience journey mapping, which dramatically compresses the typical hiring timeline. While industry data shows managed service hiring processes can take 13 to 21 days from job posting through placement, SoftDoes can often match and deploy consultants faster because candidates are already vetted for technical depth, cross functional collaboration, and enterprise readiness. Average time to match a consultant is 48 hours in many cases. The exact timeline depends on the specificity of your requirements, the complexity of your tech stack, and any compliance or security prerequisites for your industry.

What does it cost to hire a Customer Journey Mapping Consultant?

Costs vary significantly based on seniority, engagement model, scope of work, and whether you need onshore or nearshore talent. Managed service models for experienced consultants can start at approximately $3,000 per month for certain engagement structures. For senior, enterprise level consultants handling complex multi persona, multi channel programs with deep technology integration, costs scale accordingly. SoftDoes works with you to define scope and engagement structure so you pay for impact, not hours. The real cost question is not what the consultant charges but what inaction costs you in churn, wasted marketing spend, and misallocated engineering effort.

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

Three primary models exist. A dedicated full time consultant gives you institutional depth, continuity, and close alignment with your teams. A contract or retainer engagement provides flexibility and cost control for scoped projects or periodic journey audits. A managed pod model combines multiple roles, such as a journey mapping consultant, a UX designer, and a data analyst, giving you speed and breadth for complex initiatives that require multiple disciplines. SoftDoes supports all three models and can transition between them as your needs evolve. Each has tradeoffs around depth of integration, cost, and speed, and the right choice depends on your specific business context and organizational maturity.

How do you ensure time zone alignment with a Customer Journey Mapping Consultant?

SoftDoes is a North America focused partner, which means consultants are available in overlapping working hours with US and Canadian clients. For every engagement, communication cadence is defined early: daily standups, weekly demos, and asynchronous documentation for anything that falls outside core hours. At minimum, the consultant's working schedule overlaps with your key stakeholders' availability to ensure real time collaboration on critical decisions. For global deployments or distributed teams, a combination of synchronous sessions and structured async artifacts keeps momentum without requiring anyone to work unreasonable hours.

How does SoftDoes technically vet a Customer Journey Mapping Consultant?

SoftDoes goes well beyond resume screening. The vetting process includes review of past case studies with verified metrics and business outcomes, live problem solving scenarios drawn from real enterprise contexts, architecture and data integration evaluations, and cross functional stakeholder interviews. Candidates must demonstrate experience integrating customer data from CRM systems, analytics platforms, and VoC tools into journey management infrastructure. Soft skills are evaluated rigorously as well: communication under pressure, influence without authority, and the ability to understand customer sentiment and translate it into actionable insights. Consultants must also show they have worked in regulated industries and can handle compliance, data privacy, and accessibility requirements.

What happens if the Customer Journey Mapping Consultant isn't the right fit, or I need to scale up or down?

SoftDoes offers a zero risk replacement guarantee. If the consultant is not delivering against the agreed milestones and measurable results, SoftDoes replaces them without drawn out negotiations or sunk cost penalties. Scaling is equally straightforward. You can add roles to your engagement, such as a data analyst or experience design specialist, to form a pod. You can reduce scope or transition from a dedicated consultant to a periodic retainer as the program matures. Contracts are structured with flexibility clauses around scope changes and performance, so you are never locked into an arrangement that no longer fits your business needs. Collaboration with internal teams ensures the journey map reflects real customer behavior even as personnel or scope changes occur.

The Executive Guide to Hiring a Customer Journey Mapping Consultant

A single bad hire in customer journey mapping burns more than salary. It burns quarters of engineering momentum, cross functional trust, and executive credibility. The right customer journey mapping consultant, placed fast and held accountable, can reshape your entire customer experience and unlock millions in operational savings. This playbook gives you a field tested strategy to define, vet, and onboard top tier customer journey mapping consultant talent so you stop paying for pretty maps that collect dust and start getting measurable results.

What Actually Separates Transformative Consultants from Expensive Order Takers

The True Scope of Senior Customer Journey Mapping Consultant Talent

Most companies think they need someone who can facilitate workshops and produce journey maps. What they actually need is a senior operator who owns end to end journey programs and anchors them to business goals. Here is what that looks like in practice:

  • Ownership across business, product, and engineering domains. A senior customer journey mapping consultant does not just interview customers and sketch touchpoints. They architect how journey data flows through CRM systems, analytics platforms, and product telemetry. They understand your operating model and redesign it where the customer experience demands change.
  • Tradeoff management under ambiguity. They decide which customer personas and key touchpoints to prioritize versus which to defer, balancing scope, speed, cost, and depth. Instead of mapping every journey for every segment, they zero in on the bottleneck that yields the highest ROI.
  • Cross functional influence without positional authority. Real customer journeys span marketing, product, sales, support, and engineering. Senior consultants build alignment across these teams, push back on unrealistic feature requests, and reprioritize based on data driven approach and cost benefit analysis.
  • Embedded measurement from day one. They integrate quantitative data from support logs, product usage, surveys, and analytics into the journey mapping process. They build dashboards and feedback loops, not just artifacts.
  • System design for continuous journey management. Modern customer experience journey mapping is shifting from static one time exercises to ongoing journey management. Senior consultants design governance, technology, and feedback infrastructure for repeatability.
  • Regulatory and compliance fluency. In finance, healthcare, and energy, mapping customer data across touchpoints must align with privacy laws, accessibility requirements, and auditability standards.

Consultants can accelerate the mapping process with proven frameworks and techniques, but only senior talent translates those frameworks into changes that stick. Empowering internal teams to understand mapping methods fosters sustainable practices long after the engagement ends.

The Business Case: Financial and Operational Impact

Aligning on business goals and defining success criteria is essential for effective customer journey mapping. Here are the ROI vectors that justify the hire to your board:

  • Revenue protection through retention and lifetime value. Customer journey mapping identifies gaps between perceived and actual customer experiences. Fixing misaligned sales strategies, onboarding confusion, or handoff failures directly reduces churn. Consultants focus on journey improvements tied to key business outcomes like customer lifetime value and churn reduction.
  • Technical debt reduction and cost savings. Simplifying redundant touchpoints and unnecessary handoffs reduces support costs and operational overhead. A regional utility that prioritized three key journeys achieved $20 million in annual cost savings while improving service levels.
  • Faster deployment cycles and reduced rework. With clear journey maps and defined ownership, cross departmental alignment improves. Time to value drops. Scope creep shrinks because journey boundaries are established early.
  • Risk mitigation in regulated environments. Failure to map or incorrectly define customer journeys in regulated industries can lead to penalties, reputational damage, or legal exposure. A senior consultant ensures compliance across the entire customer experience.

Over 90% of CX professionals report improved KPIs from journey mapping. 71% of organizations report journey mapping persuades management to invest in CX. These are not vanity metrics. They reflect the compound effect of aligning internal processes around real customer behavior.

The Pre Search Playbook That Prevents Expensive Mistakes

Audit Your Technical Constraints Before You Write a Single Job Spec

Before you search for candidates, you need clarity on what you are actually asking them to walk into.

Architecture and Debt Audit

What problem must this hire solve first? Identify your existing systems, data sources, and infrastructure. Do you have a CRM, support ticketing, product usage tracking, web analytics, VoC feedback? How integrated are they? How much legacy technical debt must the consultant navigate?

Rich customer data, including Net Promoter Score feedback and analytics, is crucial for discovery during mapping. If data is fragmented or channels lack instrumentation, even the best consultant will struggle. Clear project goals and sharing of internal data early in the process are critical for consultants.

Audit prior journey mapping efforts. If maps were produced but never led to change, that is a diagnostic in itself. It tells you whether you need someone to fix "workshops whose maps never drive action" or someone to lead an entire journey management program.

Team Dynamics and Autonomy Level

Decide whether you want this consultant embedded into your internal organization or operating as an external advisory function. Embedded consultants give you closer alignment, faster feedback loops, and stronger ownership. External consultants bring an outside perspective and fresh eyes but require more communication overhead. External consultants offer an unbiased perspective based on actual customer behavior.

Cross functional team involvement enhances the mapping process and decision making. Assess how well your engineering, UX, product, and support teams collaborate today. A customer journey mapping consultant must effect behavioral change across teams, not just collect data and produce deliverables. Customer journey mapping fosters cross departmental collaboration on customer experience.

Deployment Model Dynamics

In house FTE gives you continuity and institutional knowledge but comes with recruitment friction, benefits overhead, and slow starts. A vetted dedicated remote consultant gives you flexibility, cost control, and speed. A managed pod model (consultant plus UX designer plus data analyst) scales quickly and lets you bring senior talent in immediately.

For a SaaS company or enterprise operation serving North American clients, time zone alignment matters. Ensure overlapping working hours with your key stakeholders. Define communication cadence early: daily standups, weekly demos, asynchronous artifacts for global coordination.

Engineering the Ideal Profile, Not a Generic Job Spec

Generic job descriptions attract generic candidates. Define four components with precision:

  • Core outcome and mission. What exact result do you want in the first 90 days? Perhaps reduce onboarding dropoff by a specific percentage, reduce escalated support tickets caused by handoff failures, or improve feature adoption in a key product segment. Establishing clear business decisions before mapping aids in focusing efforts effectively. The mission anchors measurable expectations for both you and the candidate.
  • Technical stack reality. Specify which tools and platforms they need proficiency in: analytics platforms, VoC tools, journey orchestration software, BI dashboards, ETL pipelines. How much custom development is expected versus configuration? What data maturity is required? Consultants use established frameworks and tools to accelerate time to insight.
  • Decision making authority. How much autonomy will this person have? Can they propose and lock in process changes? Who do they report to? Who will implement the changes they recommend? Without clarified authority, the mapping will stall. Assigning clear ownership for recommendations ensures accountability after projects conclude.
  • Growth trajectory. Is this a specialist role focused on diagnostics and business strategy, or does it evolve toward program leadership? Senior customer journey consultants who might otherwise go to top tier consultancies need to see a compelling mission and growth path.
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The Vetting and Onboarding System That Eliminates Bad Hires

A Battle Tested Framework for Evaluating Real Capability

Sourcing Reality

Traditional recruiters rarely have deep customer journey consulting domain knowledge. They filter on keywords and credentials, missing candidates with genuine impact and over indexing on those with flashy portfolios but no measurable results.

Prescreened senior talent networks that maintain vetted CX and engineering professionals solve this. Look for candidates who can show specific case studies of measurable impact: "This mapping project led to 15% uplift in NPS" or "Saved $X in support costs" or "Reduced onboarding time by Y days." Hiring customer journey mapping consultants provides specialized expertise to optimize customer touchpoints. Hiring consultants helps uncover hidden customer pain points and align teams around a shared vision.

Consultant created journey maps provide a shared view of customer experiences across departments. Over 81% of CX practitioners find journey mapping educates stakeholders on pain points, but only when the maps are backed by real customer research and behavioral data, not internal assumptions.

Technical Evaluation Pipeline

Forget trivia and whiteboard exercises. Give candidates a real world scenario drawn from your own context: ambiguous, cross touchpoint, with data gaps and cross team ownership problems. Ask them to outline:

  • Their data collection plan (qualitative and quantitative data)
  • Stakeholder engagement and alignment strategy
  • Prioritization of touchpoints and customer personas
  • Architecture needs for supporting ongoing journey management
  • Measurement plan and approach to embedding change

Include an architecture review: ask them to design the data and systems needed to support journey analytics. Evaluate communication under pressure: how they present findings when facing uncertainty, how they surface tradeoffs. Assess cross functional culture fit: how they handled past disagreements between teams, how they persuade without authority. Evaluate consultants based on ability to turn findings into actionable improvements.

Ask about mapping efforts that failed or stalled. What caused the failure? What would they do differently? This reveals realism and intellectual honesty. Ensuring evidence is based on customer data rather than internal assumptions is essential, and candidates who understand this distinction are worth their weight in gold.

The First 90 Days: A Milestone Driven Ramp Up Protocol

Expect specific organizational changes 90 days post journey map delivery for accountability. Here is the roadmap:

Days 1 through 30: Diagnostic and Current State

  • Audit current journey, data systems, and stakeholder landscape
  • Deliver a current state map for one high priority journey (onboarding, renewal, or similar) with identified gaps, pain points, and quantification of key metrics like drop offs
  • Establish decision rights, governance structure, and stakeholder alignment
  • Begin building detailed customer personas based on real data, not assumptions

Days 31 through 60: Intervention Design and Measurement Infrastructure

  • Plan and begin one pilot experiment: redesign or removal of a friction point, optimization of a handoff
  • Set up the measurement framework: which signals and KPIs to monitor
  • Build dashboards integrating customer insights with operational metrics
  • Define the future state journey and target outcomes for the pilot
  • Get senior leadership alignment on at least one priority

Days 61 through 90: Execution, Impact, and Scale Planning

  • Deploy pilot changes and measure impact against baseline
  • Present findings with data driven prioritization that identifies high impact pain points linked to revenue and retention
  • Plan expansion: scale successful pilots or roll out across other journeys or personas
  • Formalize the structure for ongoing journey management: feedback loops, data pipelines, governance, and resourcing

Customer journey maps should be treated as living documents and updated regularly. Final deliverables need to emphasize actionable insights and prioritized pain points. Ownership of prioritized actions post consultation supports ongoing progress.

Deciding With Confidence: Signals, Advantages, and Next Steps

Interview Signals That Predict Success or Failure

Red Flags

  • Tool obsession over outcomes. If their portfolio is heavy on beautiful visualizations but light on metrics and business outcomes, that is a warning. Focusing on high impact pain points and assigning tasks can prioritize effective fixes, but only if the consultant prioritizes impact over aesthetics.
  • Vague about past failures. If every past project went smoothly, suspect overselling. Real senior talent will admit what went wrong, what they sacrificed for speed, or what they would do differently. Distinguishing between pain points and solutions ensures clearer recommendations.
  • Siloed mindset. If they only worked with UX, marketing, or product in isolation, with little cross department collaboration, they may struggle to break internal barriers. Understanding customer journeys is critical for developing stronger marketing and sales strategies, and that requires working across every function.
  • Inflexibility with imperfect data. Candidates who prefer perfect data before starting, or who cannot make meaningful tradeoffs, will stall your progress. Real customer journeys are messy. The best consultants start with what exists and iterate.

Green Flags

  • Pragmatic tradeoff analysis. They can explain why they picked a particular touchpoint or persona, why they deprioritized others, and what cost versus benefit looked like. Data driven prioritization identifies high impact pain points linked to revenue and retention.
  • Focus on system integrity and measurement. They describe how they built data pipelines, dashboards, and VoC loops, and how journey mapping leads to measurable results: not just NPS, but revenue, retention, and cost to serve.
  • Proactive risk identification. They foresee data gaps, stakeholder misalignment, regulatory compliance challenges, poor ownership, and change fatigue, and propose mitigations before you ask.
  • Customer centric storytelling with a strategic lens. They articulate the emotional journey and customer sentiment alongside the business consequences. They understand customer sentiment and can connect customer insights to business strategy and measurable improvements.

Understanding key moments leads to improved customer experiences and loyalty. External experts challenge assumptions and help focus on customer needs instead of limitations. Insights from mapping can inform better product and service development, and consultants who can uncover obstacles causing customer dissatisfaction and abandoned purchases deliver compounding value.

Why Engineering Leaders Choose SoftDoes

SoftDoes is not a recruiting agency that hands you resumes and walks away. As a North America focused custom software engineering and data and AI partner, SoftDoes delivers strategic consulting grounded in real technical constraints and opportunities.

  • Access to battle tested senior talent. SoftDoes consultants bring experience from regulated industries, mission critical systems, and cross channel integrations. They understand compliance, data privacy, scalability, and the reality of enterprise engineering.
  • Engineering led delivery oversight. Every engagement is architected and supervised, not unmanaged freelance work. This ensures technical excellence, accountability, and consistent customer experience across deliverables.
  • Rapid deployment and flexible scaling. You can deploy a customer journey mapping consultant within days, scale up by adding a UX designer or data analyst to form a pod, or scale down when the mission is complete. No drawn out procurement cycles.
  • Zero risk replacement guarantee. If the consultant is not delivering measurable operational improvements, SoftDoes replaces them. No long negotiations. No sunk costs. Just results.

SoftDoes works across the full tech stack: AI and ML, data engineering, cloud, UI/UX, and legacy modernization. This means your journey mapping engagement is grounded in what your systems can actually support and what opportunities exist to streamline processes and personalized experiences at scale. You can browse the digital strategy talent available to see the caliber of professionals deployed on engagements.

Your Next Move

You now have the playbook. You know what separates a senior customer journey mapping consultant from a facilitator who produces wall art. You know how to audit your constraints, engineer the right profile, vet for real capability, and structure the first 90 days for accountability.

The question is execution speed. Every week without the right person in place is another week of customer friction points going unaddressed, churn leaking revenue, and engineering effort misallocated.

Book a technical discovery session with SoftDoes architects. Bring your current journey challenges, your data landscape, and your 90 day goals. We will map the engagement model, identify the right senior talent profile, and give you a deployment timeline measured in days, not months.

Stop paying for consulting theater. Start delivering meaningful insights that move your business forward.

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