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Hire remote Fractional Cto

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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.
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 Fractional Ctos can build

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How to hire a Fractional Cto

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 Fractional Cto through SoftDoes?

Sourcing and vetting through a curated talent network like SoftDoes typically takes one to three weeks, depending on the complexity of the role and the specificity of the technical expertise required. Onboarding ramp spans roughly 30 days for the fractional CTO to get fully up to speed on your codebase, team dynamics, and business objectives. Most companies see the fractional CTO delivering actionable recommendations within the first week and measurable impact within the first 90 days.

What does it cost to hire a Fractional Cto?

Fractional CTO cost depends on the depth of involvement and the domain. Advisory level engagement, where the CTO provides strategic guidance a few hours per week, typically runs $3,000 to $7,000 per month. Hands on fractional leadership at 20 to 40 hours per week ranges from $8,000 to $20,000 per month, with intensive engagements reaching $25,000 or more. Hourly fractional CTO rates fall between $150 and $500, with a premium of 25% to 40% for specialization in areas like machine learning or regulatory compliance. Most fractional CTO engagements are structured as retainers or day rates. Fixed scope projects such as a technical audit, architecture redesign, or AI strategy can range from $10,000 to $50,000 depending on complexity. Compared to a full time salary that can exceed $250,000 annually before benefits and equity, hiring a fractional CTO can save 60% to 70%.

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

Several fractional CTO engagement models are common. Advisory or light touch involves limited hours per month, focused on tech strategy and board level reporting. Hands on fractional leadership means regular involvement at two to three days per week, where the CTO owns key technical decisions and manages the engineering team directly. Fixed project or milestone based engagements cover a specific deliverable such as a security audit, cloud migration plan, or technology roadmap. Hybrid models combine a monthly retainer with milestone fees. For early stage companies, equity blended models reduce cash outlay in exchange for small equity grants with vesting. SoftDoes supports all of these, including scaling from a single fractional CTO to a full pod when execution support is needed alongside strategic leadership.

How do you ensure time zone alignment with a Fractional Cto?

The contract should specify desired overlap hours in your core time zone, particularly for synchronous work like leadership meetings, sprint reviews, and incident response. When frequent real time collaboration is needed, choose candidates located in or near your time zone. SoftDoes focuses on North America based talent, which naturally aligns with US and Canadian business hours. For engagements with some asynchronous flexibility, clear communication rhythms, shared documentation, and a delivery lead who overlaps with both the fractional CTO and your internal team reduce friction.

How does SoftDoes technically vet a Fractional Cto?

SoftDoes evaluates candidates against several criteria before they enter the talent network. Candidates must have proven CTO or VP of Engineering level experience, particularly in scaling environments or regulated industries. The vetting process includes reviewing delivered architecture work, platform transitions, and reliability metrics from prior engagements. Candidates describe specific decisions they made and the measurable outcomes that followed, such as reduced cloud costs, improved uptime, or faster release cycles. SoftDoes also checks references, reviews technical audits or system redesigns the candidate has led, and assesses leadership skills including how the candidate mentored teams and communicated with non technical stakeholders. This process ensures only senior technology leaders with real operational track records are presented as fractional CTO candidates.

What happens if the Fractional Cto isn't the right fit, or I need to scale up or down?

SoftDoes structures initial contracts with review points at 30, 60, and 90 days, each tied to specific goals. If the fractional CTO is not delivering against those goals or the company culture fit is not working, SoftDoes offers a replacement guarantee, swapping in a new candidate without heavy penalty. You can also adjust hours or scope on a monthly basis, scaling up during periods of heavy demand like a product launch and stepping down to advisory level when things stabilize. If the company reaches a stage where a full time hire makes sense, the fractional CTO defines the permanent role, helps recruit a successor, and transfers all documentation and institutional knowledge. The goal is a clean transition with no gaps in tech leadership.

How to Hire a Fractional Cto

Most companies that need a fractional CTO end up wasting weeks chasing generalist consultants who produce slide decks but never ship outcomes. The better path: define what you actually need, vet candidates against operational evidence, and structure the engagement so your technology team gets real technical leadership from day one. This guide walks you through every step, from scoping the role to onboarding and retention, so you hire the right fractional CTO without burning budget or momentum.

What a Fractional CTO Does and Why the Role Matters

What a Fractional CTO Actually Does Day to Day

A fractional CTO is a senior technology leader who works part time or on retainer, typically 15 to 20 hours per week, providing the same strategic guidance a full time CTO would without the full time salary or equity commitment. Fractional CTOs provide high level expertise without full time costs, and they bring experience from working with multiple organizations. The role centers on executive leadership tied to business goals, not on writing production code or managing every sprint.

Core responsibilities include:

  • Translating business objectives into a technology roadmap. This means choosing platforms, sequencing initiatives, and ensuring that every tech investment supports revenue and business growth rather than feature sprawl.
  • Establishing system architecture and technical standards. Reviewing existing infrastructure, making build versus buy decisions, defining the tech stack, and setting scalability, performance, and compliance baselines.
  • Building and mentoring the engineering team. Writing job descriptions, running technical recruitment, coaching senior developers, and shaping team structure so internal teams operate with increasing independence.
  • Vendor management and infrastructure governance. Selecting cloud infrastructure providers, third party tools, and operational patterns while maintaining cost discipline and reliability.
  • Risk management, security, and compliance. Evaluating security posture, ensuring regulatory compliance in sectors like healthcare or finance, and owning incident response planning.
  • Communicating technical decisions to non technical stakeholders. Reporting technology status to the executive team and board, translating trade offs (time, cost, quality) into language that drives informed decisions.

Where the role stops: a fractional CTO is not a substitute for full time technical leadership when extensive daily oversight is necessary. They do not handle helpdesk tickets, manage every daily standup once engineering managers are in place, or own product management beyond technical feasibility.

Why Getting This Hire Right Changes Your Business Trajectory

Hiring a fractional CTO is ideal when the cost of poor technology decisions is significant. The wrong stack choice, a poorly designed schema, or vendor lock in can force six figure rewrites. A strong fractional CTO catches those mistakes before they compound. Fractional CTOs prevent costly technical mistakes by guiding architectural and strategic decisions.

  • Avoiding expensive rework. Early stage companies that skip senior technology leadership often accumulate technical debt that costs multiples of the original build to fix. A fractional CTO identifies and eliminates those risks during architecture review.
  • Faster, more predictable delivery. Clear technical strategy and well defined development processes reduce outages, shorten release cycles, and give product teams confidence in timelines.
  • Stronger positioning during funding rounds. Access to a fractional CTO can help navigate funding rounds and investor communications. When investors run technical due diligence, having a credible technology roadmap and clean architecture improves outcomes.
  • 40% to 60% lower cost of leadership. Fractional CTOs typically cost $10,000 to $30,000 monthly. Hiring a fractional CTO can save 60% to 70% compared to full time, where full time CTO salaries can exceed $250,000 annually before equity and benefits.

How to Prepare Before You Start Hiring

Defining What You Need Before Opening the Role

A clear role definition attracts better fractional CTO candidates. Before you reach out to any talent network or post fractional CTO jobs, spend time answering three internal questions.

Project Scope and Requirements

Identify the specific technical domain that needs senior leadership. Are you scaling cloud infrastructure? Bringing machine learning models from proof of concept to production? Modernizing a legacy platform? Each scenario demands different technical expertise.

Define the deliverables you expect: a technical audit, a strategic technology roadmap, a migration plan, a security review. Distinguish between one time assessments and ongoing oversight. A fractional CTO's engagement should focus on achieving specific, measurable outcomes.

Team Structure and Engagement Model

Map your existing engineering team and reporting lines. If you already have engineering managers or a strong tech lead, the fractional CTO can focus on strategic guidance and mentorship. If you have developers but no leadership layer, the role shifts toward hands on leadership and process building.

Decide how many hours per week you need. Fractional CTOs typically work 15 to 20 hours per week, but they scale their involvement during periods of heavy demand, such as a product launch, a platform migration, or preparing for technical due diligence.

In House vs. Dedicated Remote Talent

Remote fractional CTOs offer access to a broader pool of senior technology leadership and often better cost efficiency. The trade off: you need clear communication rhythms, shared tooling, and explicit expectations around availability. If your company requires frequent in person collaboration with the executive team or board, specify that upfront. Consider time zone overlap with your core team and whether the fractional model you choose supports synchronous work during critical hours.

What a Strong Fractional CTO Job Description Covers

A standout job description for a fractional CTO covers four elements:

  • Mission. State the leadership gap this role fills. Example: "Guide our platform from MVP to production grade with 99.9% uptime" or "Establish data pipelines and structure to move ML models into production."
  • Stack and context. Specify your technology stack (cloud provider, frontend and backend frameworks, data infrastructure), known weaknesses, legacy systems, and regulatory landscape. This filters out candidates who lack relevant depth.
  • Team structure. How many engineers? Who reports to whom? What partnerships with product, design, and operations does the role require? What is the current level of team dynamics and leadership readiness?
  • Growth and impact. Define outcomes: delivery velocity targets, launch frequency, system reliability goals, cost savings. Clarify budget authority, decision making scope, and how success will be measured. Include the expected timeline to ramp.
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Sourcing, Vetting, and Onboarding the Right Candidate

How to Find and Evaluate Fractional CTO Candidates

Sourcing Strategy

You have three primary sourcing paths when looking to hire a fractional CTO:

  • Direct outbound recruiting. Slower, less predictable. You run the full hiring process yourself, from sourcing to screening to reference checks.
  • Specialized platforms and marketplaces. Faster access, but quality varies. Many list freelancers alongside seasoned executives, making it harder to distinguish between a virtual CTO with limited scope and a senior technology leader with real operational experience.
  • Vetted talent networks. The fastest path to pre vetted fractional CTOs. A partner like SoftDoes maintains a curated pool of candidates who have already passed technical and leadership screening, which compresses the hiring process from weeks to days. Our talent network focuses on senior leadership with proven track records.

Vetting Beyond the Resume

Resumes confirm titles. They do not confirm capability. Structure your vetting around four dimensions:

  • Technical screening. Present a real world architecture problem relevant to your domain. Ask candidates to walk through trade offs involving scale, reliability, cost, and maintainability. The goal is to see how they think about technical decisions, not whether they can whiteboard an algorithm.
  • Analytical interview. Pose a scenario from your actual business: "Our backend is failing under load during peak hours" or "We need to migrate from on premises infrastructure to cloud without downtime." Evaluate how the candidate structures the problem, identifies dependencies, and sequences work.
  • Culture fit and communication ability. A strong fractional CTO must communicate clearly with non technical stakeholders. Ask how they have explained a major technical trade off to a CEO or board. Probe how they handle disagreements with product leaders and how they mentor engineers.
  • Evidence of impact. Look for specific, measurable outcomes from prior fractional CTO work or full time CTO roles: reduced infrastructure costs by a defined amount, improved uptime from one level to another, cut release cycles from monthly to weekly. Companies hire fractional CTOs for outcomes, not hours.

Structuring the First 90 Days for Fast Results

Most fractional CTO engagements follow a structured ramp:

First 30 days: assess and diagnose. The fractional CTO observes and evaluates the current state, including codebase quality, cloud infrastructure, team skills, and development processes. The output is an architecture review and a prioritized technology roadmap with immediate fixes identified. Fractional CTOs offer immediate impact by addressing inefficiencies quickly.

Days 30 to 60: execute on high priority items. Begin acting on the roadmap. Fix critical risk areas, improve CI/CD pipelines and monitoring, establish clear roles and responsibilities within the tech team, and set up a hiring pipeline if team growth is needed.

Days 60 to 90: validate and institutionalize. Deliver at least one shipped initiative to demonstrate impact. Put repeatable processes in place for incident response, code review, onboarding, and technical decision documentation. Establish a reporting cadence with the executive team. By this point, the fractional CTO should be operating as an integrated part of your leadership structure.

For retention, set clear expectations around communication cadence even though the role is fractional. Schedule periodic reassessments at each milestone. If the company is approaching the stage where a full time hire makes sense, the fractional CTO should begin defining the permanent role and planning the handover.

Evaluating Candidates and Choosing Your Partner

Warning Signs and Positive Indicators During Interviews

Red flags:

  • Vague proposals with undefined deliverables. If a candidate cannot articulate what success looks like at 30, 60, and 90 days, they are unlikely to deliver structured outcomes.
  • Buzzword reliance without business context. Talking about microservices, blockchain, or emerging technologies without explaining trade offs, costs, or fit to your company's vision signals shallow expertise.
  • Thin references or no prior CTO level experience. For mission critical or regulated environments, you need someone who has held senior leadership in comparable situations, not someone stepping up for the first time.
  • Resistance to defining an exit or handover plan. A strong fractional CTO plans for their own replacement. Reluctance to discuss transition signals misaligned incentives.

Green flags:

  • A documented track record of decisions that scaled systems. Look for evidence of improved reliability, reduced technical debt, or successful platform migrations in prior roles.
  • Clear communication with business teams. The candidate quantifies trade offs: "This approach saves three weeks but increases infrastructure cost by $X per month." Strong fractional CTOs focus on translating tech strategy into business priorities.
  • Systems thinking. The candidate sees dependencies across teams, understands cost of failure, and considers long term impact of tech stack decisions on future growth.
  • Track record of developing internal teams. Evidence of hiring, mentoring, and building process maturity so that the organization is more capable after the engagement ends. They bring unbiased external perspectives to technology strategies.

Why SoftDoes Is Built for This Engagement

SoftDoes is a North America focused talent delivery partner that connects companies across the US and Canada with pre vetted fractional CTOs who have operated as full time chief technology officer level executives before joining the network.

  • Vetted senior technology executives only. Every candidate has demonstrated CTO or VP of Engineering experience, with portfolios reviewed for architecture decisions, platform transitions, and leadership outcomes. No generalist freelancers.
  • Deep experience in regulated industries. Healthcare, finance, and education clients need compliance, security, and reliability as non negotiable baseline capabilities. SoftDoes matches candidates with relevant domain expertise.
  • Flexible engagement models. From advisory level involvement at a few hours per week to hands on fractional leadership or scaling up to a full time hire. The fractional model adapts as your business grows.
  • Replacement and scaling guarantees. If the fit is not right, SoftDoes provides a replacement without penalty. Need to scale from one specialist to a full pod? The team delivery model supports that transition without gaps.

Ready to Hire a Fractional Cto?

If your company is facing rapid growth, a product launch, a leadership gap after a CTO departure, or mounting technical debt, the next step is straightforward. Schedule a discovery call to scope your needs across technology, team, and business stage. SoftDoes matches you with pre vetted fractional CTO candidates within days, and your new hire begins with a structured 30/60/90 day plan designed to deliver measurable outcomes from the first week.

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