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Hire remote Technical Writer

Discover developers that match your project requirements.

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

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

Principal DevOps / Site Reliability Engineer with 14+ years of software engineering experience (including freelance development) and 9+ years of professional DevOps/SRE experience. Expert in designing and automating scalable cloud infrastructure across AWS, GCP, Azure, a company Cloud, with deep expertise in Kubernetes, Docker, OpenShift, Terraform, Ansible, GitOps (ArgoCD/FluxCD), CI/CD, Go, and Python. Experienced in building multi-cloud, high-availability platforms, infrastructure automation, cloud migrations, and developer platforms. Currently working as Principal Engineer at FOX, previously held senior engineering roles at Hippo Insurance, a company, and Morgan Stanley.

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

Principal DevOps / Site Reliability Engineer with 14+ years of software engineering experience (including freelance development) and 9+ years of professional DevOps/SRE experience. Expert in designing and automating scalable cloud infrastructure across AWS, GCP, Azure, a company Cloud, with deep expertise in Kubernetes, Docker, OpenShift, Terraform, Ansible, GitOps (ArgoCD/FluxCD), CI/CD, Go, and Python. Experienced in building multi-cloud, high-availability platforms, infrastructure automation, cloud migrations, and developer platforms. Currently working as Principal Engineer at FOX, previously held senior engineering roles at Hippo Insurance, a company, and Morgan Stanley.

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

Principal DevOps / Site Reliability Engineer with 14+ years of software engineering experience (including freelance development) and 9+ years of professional DevOps/SRE experience. Expert in designing and automating scalable cloud infrastructure across AWS, GCP, Azure, a company Cloud, with deep expertise in Kubernetes, Docker, OpenShift, Terraform, Ansible, GitOps (ArgoCD/FluxCD), CI/CD, Go, and Python. Experienced in building multi-cloud, high-availability platforms, infrastructure automation, cloud migrations, and developer platforms. Currently working as Principal Engineer at FOX, previously held senior engineering roles at Hippo Insurance, a company, and Morgan Stanley.

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

I am a solutions architect and engineer with 5+ years of experience in designing and implementing cloud-based AI solutions. Solid skills across applied AI, software engineering, cloud architecture and DevOps practices, built on years of field experience, allow me to drive AI initiatives from concept to production, leveraging AI tools to boost delivery speed without compromising on deliverable quality.

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

I am a solutions architect and engineer with 5+ years of experience in designing and implementing cloud-based AI solutions. Solid skills across applied AI, software engineering, cloud architecture and DevOps practices, built on years of field experience, allow me to drive AI initiatives from concept to production, leveraging AI tools to boost delivery speed without compromising on deliverable quality.

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

I am a solutions architect and engineer with 5+ years of experience in designing and implementing cloud-based AI solutions. Solid skills across applied AI, software engineering, cloud architecture and DevOps practices, built on years of field experience, allow me to drive AI initiatives from concept to production, leveraging AI tools to boost delivery speed without compromising on deliverable quality.

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

Senior Python Developer with 11+ years of experience designing scalable backend systems and microservice architectures across data analytics, logistics, and fintech platforms. Proven track record leading engineering teams and delivering cloud-native solutions on AWS and Kubernetes. Recently led development of AI-powered and real-time observability platforms using modern Python frameworks and large-scale data technologies. Strong background in system architecture, distributed systems, and mentoring teams in Agile environments.

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

Senior Python Developer with 11+ years of experience designing scalable backend systems and microservice architectures across data analytics, logistics, and fintech platforms. Proven track record leading engineering teams and delivering cloud-native solutions on AWS and Kubernetes. Recently led development of AI-powered and real-time observability platforms using modern Python frameworks and large-scale data technologies. Strong background in system architecture, distributed systems, and mentoring teams in Agile environments.

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

Senior Python Developer with 11+ years of experience designing scalable backend systems and microservice architectures across data analytics, logistics, and fintech platforms. Proven track record leading engineering teams and delivering cloud-native solutions on AWS and Kubernetes. Recently led development of AI-powered and real-time observability platforms using modern Python frameworks and large-scale data technologies. Strong background in system architecture, distributed systems, and mentoring teams in Agile environments.

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

Senior AI/ML Engineer with 10+ years of experience designing and deploying large-scale machine learning and generative AI systems in production environments. Specialized in LLM architectures, agentic AI systems, distributed ML infrastructure, and end-to-end MLOps platforms. Proven track record of delivering high-impact AI products including diagnostic AI systems improving accuracy by 38% and enterprise ML platforms accelerating data pipelines by 40%. Experienced in leading cross-functional teams, architecting scalable AI platforms, and driving AI innovation across healthcare, enterprise analytics, and automation domains.

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

Senior AI/ML Engineer with 10+ years of experience designing and deploying large-scale machine learning and generative AI systems in production environments. Specialized in LLM architectures, agentic AI systems, distributed ML infrastructure, and end-to-end MLOps platforms. Proven track record of delivering high-impact AI products including diagnostic AI systems improving accuracy by 38% and enterprise ML platforms accelerating data pipelines by 40%. Experienced in leading cross-functional teams, architecting scalable AI platforms, and driving AI innovation across healthcare, enterprise analytics, and automation domains.

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

Senior AI/ML Engineer with 10+ years of experience designing and deploying large-scale machine learning and generative AI systems in production environments. Specialized in LLM architectures, agentic AI systems, distributed ML infrastructure, and end-to-end MLOps platforms. Proven track record of delivering high-impact AI products including diagnostic AI systems improving accuracy by 38% and enterprise ML platforms accelerating data pipelines by 40%. Experienced in leading cross-functional teams, architecting scalable AI platforms, and driving AI innovation across healthcare, enterprise analytics, and automation domains.

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

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

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

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

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

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

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

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

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

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

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

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

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

Over the past 8 years, I have gained ample experience in ETL/ELT, Snowflake, Airflow, and Data Warehouse. I have been responsible for Data Lake Support and creating new ETL/ELT processes within AWS using either Snowflake, Glue, Airflow, dbt, Xplenty, Docker, or Custom Python Scripts with APIs. I have also worked as an Application Architect, which includes over 50 different services across AWS. I needed to create pipelines, organizations, and permissions within AWS Infrastructure to meet business requirements while optimizing costs. My previous work includes over four years as a Data Analyst, creating and supporting BI Tools like Sisense, Quicksight, and Power BI/Tableau. I managed and created dashboards, widgets, and Data Architecture with Sisense and Redshift. I was also the Support Engineer for Sisense Installation and Maintenance. I would describe myself as reliable and able to undertake complex situations with unique solutions. I have over 7 years of experience in the Data sector, over 17+ years of SQL experience, and 20+ years as a Developer. I’m also a mid-QA Automation Engineer, which gives me a better idea of the attention to detail a developer needs to attain to complete development within the time limit and without affecting PROD releases. My other skills include being a Sysadmin in both Windows and Linux environments, a company Web Services AWS, a company 365 Portal, JumpCloud, 1Password, and Slack. I also have DBA knowledge, including creating servers and Data Warehouses. I'm an expert in MS Office and can automate with macros. I’m also a Cybersecurity advocate since I’m always looking for ways to protect data and user permissions. I have been in Agile Development with Jira in Kanban and Scrum for the past 4 years. And I have also created bots to automatize process alerts and configurations with Slack APIs and AWS to help my teammates get prompt feedback from the ETL pipelines.

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

Over the past 8 years, I have gained ample experience in ETL/ELT, Snowflake, Airflow, and Data Warehouse. I have been responsible for Data Lake Support and creating new ETL/ELT processes within AWS using either Snowflake, Glue, Airflow, dbt, Xplenty, Docker, or Custom Python Scripts with APIs. I have also worked as an Application Architect, which includes over 50 different services across AWS. I needed to create pipelines, organizations, and permissions within AWS Infrastructure to meet business requirements while optimizing costs. My previous work includes over four years as a Data Analyst, creating and supporting BI Tools like Sisense, Quicksight, and Power BI/Tableau. I managed and created dashboards, widgets, and Data Architecture with Sisense and Redshift. I was also the Support Engineer for Sisense Installation and Maintenance. I would describe myself as reliable and able to undertake complex situations with unique solutions. I have over 7 years of experience in the Data sector, over 17+ years of SQL experience, and 20+ years as a Developer. I’m also a mid-QA Automation Engineer, which gives me a better idea of the attention to detail a developer needs to attain to complete development within the time limit and without affecting PROD releases. My other skills include being a Sysadmin in both Windows and Linux environments, a company Web Services AWS, a company 365 Portal, JumpCloud, 1Password, and Slack. I also have DBA knowledge, including creating servers and Data Warehouses. I'm an expert in MS Office and can automate with macros. I’m also a Cybersecurity advocate since I’m always looking for ways to protect data and user permissions. I have been in Agile Development with Jira in Kanban and Scrum for the past 4 years. And I have also created bots to automatize process alerts and configurations with Slack APIs and AWS to help my teammates get prompt feedback from the ETL pipelines.

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

Over the past 8 years, I have gained ample experience in ETL/ELT, Snowflake, Airflow, and Data Warehouse. I have been responsible for Data Lake Support and creating new ETL/ELT processes within AWS using either Snowflake, Glue, Airflow, dbt, Xplenty, Docker, or Custom Python Scripts with APIs. I have also worked as an Application Architect, which includes over 50 different services across AWS. I needed to create pipelines, organizations, and permissions within AWS Infrastructure to meet business requirements while optimizing costs. My previous work includes over four years as a Data Analyst, creating and supporting BI Tools like Sisense, Quicksight, and Power BI/Tableau. I managed and created dashboards, widgets, and Data Architecture with Sisense and Redshift. I was also the Support Engineer for Sisense Installation and Maintenance. I would describe myself as reliable and able to undertake complex situations with unique solutions. I have over 7 years of experience in the Data sector, over 17+ years of SQL experience, and 20+ years as a Developer. I’m also a mid-QA Automation Engineer, which gives me a better idea of the attention to detail a developer needs to attain to complete development within the time limit and without affecting PROD releases. My other skills include being a Sysadmin in both Windows and Linux environments, a company Web Services AWS, a company 365 Portal, JumpCloud, 1Password, and Slack. I also have DBA knowledge, including creating servers and Data Warehouses. I'm an expert in MS Office and can automate with macros. I’m also a Cybersecurity advocate since I’m always looking for ways to protect data and user permissions. I have been in Agile Development with Jira in Kanban and Scrum for the past 4 years. And I have also created bots to automatize process alerts and configurations with Slack APIs and AWS to help my teammates get prompt feedback from the ETL pipelines.

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

I am a technical leader and problem solver who designs and delivers scalable, distributed software and AI systems that create measurable business value. I have led cross-functional teams and platform initiatives, translating complex requirements into reliable, production-ready solutions built on open standards. My experience spans architecting, mentoring, and driving execution across diverse technology stacks, with a strong focus on operational excellence, product impact, and long-term system sustainability.

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

I am a technical leader and problem solver who designs and delivers scalable, distributed software and AI systems that create measurable business value. I have led cross-functional teams and platform initiatives, translating complex requirements into reliable, production-ready solutions built on open standards. My experience spans architecting, mentoring, and driving execution across diverse technology stacks, with a strong focus on operational excellence, product impact, and long-term system sustainability.

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

I am a technical leader and problem solver who designs and delivers scalable, distributed software and AI systems that create measurable business value. I have led cross-functional teams and platform initiatives, translating complex requirements into reliable, production-ready solutions built on open standards. My experience spans architecting, mentoring, and driving execution across diverse technology stacks, with a strong focus on operational excellence, product impact, and long-term system sustainability.

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

Energetic, adaptable, mission-focused and multilingual MBA professional with more than 20 years of experience in IT, Business Intelligence, Marketing and Finance in 4 multinationals. Proven track record of finding creative solutions to solving challenges. Effective presenter who collaborates well in teams and across divisions. Passion for learning and acquiring new skills every day.

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

Energetic, adaptable, mission-focused and multilingual MBA professional with more than 20 years of experience in IT, Business Intelligence, Marketing and Finance in 4 multinationals. Proven track record of finding creative solutions to solving challenges. Effective presenter who collaborates well in teams and across divisions. Passion for learning and acquiring new skills every day.

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

Energetic, adaptable, mission-focused and multilingual MBA professional with more than 20 years of experience in IT, Business Intelligence, Marketing and Finance in 4 multinationals. Proven track record of finding creative solutions to solving challenges. Effective presenter who collaborates well in teams and across divisions. Passion for learning and acquiring new skills every day.

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

15+ years of experience designing and operating large-scale distributed systems and latency-sensitive production platforms. Expertise in multi-region Kubernetes infrastructure, hybrid cloud environments, and production reliability engineering, with a strong focus on scalability, fault tolerance, observability, and operational automation. Deep experience building and operating hybrid bare-metal and cloud platforms (AWS, GCP), including Kubernetes infrastructure, traffic routing, CI/CD systems, and production observability stacks supporting globally distributed workloads. Strong background in incident response, Linux systems, networking, distributed systems troubleshooting, and infrastructure automation using Terraform and Python. Focused on end-to-end ownership of production infrastructure platforms while partnering closely with engineering teams to improve reliability, security, deployment consistency, and operational efficiency.

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

15+ years of experience designing and operating large-scale distributed systems and latency-sensitive production platforms. Expertise in multi-region Kubernetes infrastructure, hybrid cloud environments, and production reliability engineering, with a strong focus on scalability, fault tolerance, observability, and operational automation. Deep experience building and operating hybrid bare-metal and cloud platforms (AWS, GCP), including Kubernetes infrastructure, traffic routing, CI/CD systems, and production observability stacks supporting globally distributed workloads. Strong background in incident response, Linux systems, networking, distributed systems troubleshooting, and infrastructure automation using Terraform and Python. Focused on end-to-end ownership of production infrastructure platforms while partnering closely with engineering teams to improve reliability, security, deployment consistency, and operational efficiency.

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

15+ years of experience designing and operating large-scale distributed systems and latency-sensitive production platforms. Expertise in multi-region Kubernetes infrastructure, hybrid cloud environments, and production reliability engineering, with a strong focus on scalability, fault tolerance, observability, and operational automation. Deep experience building and operating hybrid bare-metal and cloud platforms (AWS, GCP), including Kubernetes infrastructure, traffic routing, CI/CD systems, and production observability stacks supporting globally distributed workloads. Strong background in incident response, Linux systems, networking, distributed systems troubleshooting, and infrastructure automation using Terraform and Python. Focused on end-to-end ownership of production infrastructure platforms while partnering closely with engineering teams to improve reliability, security, deployment consistency, and operational efficiency.

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

Technical leader at a company AI Core, building and operating cloud-native AI platform services from prototype to production. Hands-on across backend engineering, distributed systems, and Kubernetes, driving technical direction and delivery across teams without direct authority.

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

Technical leader at a company AI Core, building and operating cloud-native AI platform services from prototype to production. Hands-on across backend engineering, distributed systems, and Kubernetes, driving technical direction and delivery across teams without direct authority.

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

Technical leader at a company AI Core, building and operating cloud-native AI platform services from prototype to production. Hands-on across backend engineering, distributed systems, and Kubernetes, driving technical direction and delivery across teams without direct authority.

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

Software Engineer with 10+ years of AI/ML experience and proven expertise in developing LLM-powered applications, generative AI systems, and ad engines. Strong track record of scaling ML platforms from inception to 1,500+ users at a company, building production AI systems, and creating innovative ad solutions. Experienced in full software development lifecycle with deep knowledge of PyTorch, TensorFlow, and modern AI frameworks including LangChain, LangGraph, and various LLM APIs.

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

Software Engineer with 10+ years of AI/ML experience and proven expertise in developing LLM-powered applications, generative AI systems, and ad engines. Strong track record of scaling ML platforms from inception to 1,500+ users at a company, building production AI systems, and creating innovative ad solutions. Experienced in full software development lifecycle with deep knowledge of PyTorch, TensorFlow, and modern AI frameworks including LangChain, LangGraph, and various LLM APIs.

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

Software Engineer with 10+ years of AI/ML experience and proven expertise in developing LLM-powered applications, generative AI systems, and ad engines. Strong track record of scaling ML platforms from inception to 1,500+ users at a company, building production AI systems, and creating innovative ad solutions. Experienced in full software development lifecycle with deep knowledge of PyTorch, TensorFlow, and modern AI frameworks including LangChain, LangGraph, and various LLM APIs.

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What our Technical Writers 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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FIND THE
RIGHT expert, FASTER

Choose a role. Filter by technology.
Discover developers that match your project requirements.

How to hire a Technical Writer

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 Technical Writer through SoftDoes?

Most engagements move from initial scoping to a matched, deployed technical writer within days, not months. Because our talent network consists of prescreened senior professionals with verified technical expertise and domain experience, we eliminate the drawn out sourcing, screening, and interviewing cycles that plague traditional recruitment. The exact timeline depends on the complexity of your technical stack and project requirements, but the typical path from first conversation to a writer actively contributing to your documentation is measured in single digit business days.

What does it cost to hire a Technical Writer?

Costs vary based on engagement model, seniority, and domain complexity. As a general benchmark, freelance technical writers charge $50 to $150 per hour depending on specialization and technical skills required. Per project pricing is ideal for defined documentation tasks and can range from $500 to $5,000 or more depending on complexity and project scope. Flat rate deliverables work well for user manuals, white papers, or specific API documentation sets. Full time technical writers receive salaries and benefits, with senior roles in software and IT commonly falling in the $95,000 to $135,000 base salary range before benefits and overhead. Hourly pricing works best for ongoing documentation updates. Hire full time writers for ongoing documentation needs and leverage freelance or contract models for defined scope work. SoftDoes structures engagements to give you cost predictability without the fully loaded overhead of a permanent FTE, including ramp time, tools, and benefits, which can push first year costs to $136,000 to $154,000 for a senior hire.

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

SoftDoes offers three primary engagement models tailored to how established enterprises and scaling companies actually operate. A dedicated hire embeds a senior technical writer directly in your product or engineering team for continuous, evolving documentation needs across multiple releases and documentation types. A pod model provides a small, focused team for large scale documentation overhauls, product launches, or cross product initiatives requiring multiple skill sets. A contract model delivers flexible, project scoped support for defined deliverables such as API references, user guides, knowledge base content, or standard operating procedures. Each model includes engineering led oversight and the ability to scale up or down as your needs change.

How do you ensure time zone alignment with a Technical Writer?

As a North America focused partner serving clients across the US and Canada, SoftDoes prioritizes timezone overlap as a core selection criterion. Every writer matched to your engagement is evaluated not just for technical expertise but for their ability to maintain real time collaboration with your engineering teams and stakeholders during core working hours. For distributed teams, we establish clear communication cadences, async handoff protocols, and shared digital collaboration tools that keep documentation velocity high regardless of geographic spread.

How does SoftDoes technically vet a Technical Writer?

Our vetting process goes far beyond resume screening or grammar tests. Every candidate in our network passes a multi stage technical evaluation pipeline that includes live problem solving exercises where they analyze, critique, and refactor real documentation, real world scenario architecture reviews where they demonstrate how they would document complex systems and user journeys, communication assessments under ambiguity with tight timelines and incomplete specs, and cross functional fit evaluation with engineering and product stakeholders. We also conduct rigorous portfolio reviews focused on clarity, structure, and the ability to handle complex information across different audiences. Technical writer demand is projected to grow by 4% from 2023 to 2033, which means competition for skilled technical writers is intensifying and thorough vetting is more critical than ever.

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

SoftDoes provides a zero risk replacement guarantee. If the technical writer is not meeting your standards for technical accuracy, delivery speed, or cultural fit, we replace them at no additional cost and with no gap in coverage. There is no severance process, no restart penalty, and no wasted budget. If your documentation needs shift due to a product launch, a scaling phase, or a wind down, you can adjust capacity seamlessly. This flexibility is the core advantage over traditional full time hiring, where a mismatch means months of lost productivity and significant separation costs. Technical writers help organizations maintain accurate documentation and improve collaboration, and ensuring the right fit is non negotiable for project success.

The Executive Guide to Hiring a Technical Writer

A single bad technical writer hire can silently drain six figures in wasted engineering hours, delayed launches, and compounding documentation debt. A great one reclaims that budget and accelerates every product line they touch. This playbook gives you a field tested, operationally grounded strategy to define, vet, and onboard top tier technical writing talent, built from lessons learned across hundreds of engineering engagements, not from HR textbooks.

What Actually Separates Elite Technical Writers from Glorified Note Takers

The True Scope: Ownership, System Design, and Tradeoff Management

Most executives underestimate what the right technical writer actually does. A senior documentation specialist is not someone who formats user manuals after engineers finish building. They are an architect of clarity across your entire product surface, and the gap between a skilled hire and a mediocre one shows up in engineering velocity, customer experience, and compliance posture.

Here is what a battle tested technical writer owns on a daily basis:

  • End to end documentation domains: API documentation, system architecture references, configuration workflows, error handling guides, internal runbooks, and standard operating procedures. Not just user guides.
  • Information architecture and standards governance: designing and enforcing style guides, versioning strategy, and content structure so that technical documentation stays consistent, maintainable, and aligned with every release.
  • Technical tradeoff negotiation: balancing depth versus usability, structured versus narrative, internal teams versus external audiences, and security or compliance constraints versus speed of delivery.
  • Cross functional collaboration: technical writers collaborate directly with engineering teams, product leads, design teams, and support, probing ambiguous behavior, eliciting hidden complexity, and catching technical debt through documentation gaps.
  • Product lifecycle integration: release alignment, change logs, release notes, deprecation notices, embedding docs in CI/CD pipelines, and prioritizing updates based on support tickets and usage analytics.
  • Practice leadership: mentoring peers, enabling software engineers and support staff to write acceptable first drafts, improving documentation workflows, and selecting or maintaining digital collaboration tools.

Their advanced technical skills include fluency with docs as code workflows (Git, Markdown, AsciiDoc, DITA), the ability to read, verify, and author API references including HTTP methods, authentication, payloads, and error codes, and the capacity to translate complex technical information across cloud architectures, data modeling systems, and regulated environments. Technical writers should be proficient in tools like Markdown and Confluence, and they must adapt writing for different audiences, from software developers to non technical audiences.

Portfolios are often more informative than resumes in evaluating writer suitability. When reviewing candidates, evaluating portfolios should focus on organization and clarity of technical information. Documentation samples provide stronger evidence of writing ability than degrees, and portfolios should demonstrate skills and knowledge rather than length.

The Business Case: Financial and Operational Impact

When companies hire technical writers strategically, the ROI shows up in four concrete vectors:

  • Engineering hours reclaimed: Up to 20% to 30% of engineering and SME time gets consumed by drafting, reviewing, and answering support tickets caused by missing technical documentation. The right hire frees that capacity for core product work.
  • Faster product launches and feature rollouts: When documentation is aligned with release planning, features ship with lower friction. Compliance requirements in financial institutions and regulated industries get baked in rather than bolted on post launch, which supports compliance across the board.
  • Support cost reduction and improved self service: High quality documentation reduces helpdesk volume and escalation rates. Knowledge base content centralizes information for self service support. Underdocumented software can drive users away and increase support workloads, directly impacting user adoption and product adoption.
  • Risk and compliance mitigation: In healthcare, finance, energy, and other regulated sectors, misstatements or missing documentation create legal exposure, regulatory noncompliance, and costly delays. Strong software documentation improves customer experience and internal efficiency at every stage.

The hidden costs of a bad hire or missing documentation capacity compound fast: feature rollouts delayed because docs or legal reviews were not ready, accumulating "documentation debt" requiring expensive rewrites, poor developer experience leading to churn and misintegrations, and overloaded SMEs doing documentation work instead of their core jobs. Technical documentation supports every stage of a project lifecycle, and ignoring it creates drag that scales with your product.

Before You Post a Single Job Listing: The Strategic Groundwork

Auditing Your Technical Constraints Before the Search Begins

Before sourcing qualified candidates, you need a clear diagnosis. Otherwise you will write a generic technical writer job description, attract generic applicants, and waste months discovering the mismatch. Clarifying project needs leads to better hiring of technical writers, and hiring should ensure clear definition of project requirements and scope.

Architecture and Debt Audit

What problem must this hire solve first? Run a content inventory:

  • Is the core gap poor API documentation or a missing developer portal entirely?
  • Are regulatory boilerplate and standard operating procedures absent or outdated?
  • Are internal runbooks missing, causing knowledge loss every time an engineer leaves?
  • Is complex technical information scattered across tickets, wikis, Slack threads, and code comments?

Catalog existing documentation types, gaps, update frequency, ownership, content findability, and user feedback from both support and customers. This audit determines whether you need a documentation specialist focused on software documentation, someone who can rebuild your entire information architecture, or a writer who can gather information and translate complex technical information for different audiences.

Team Dynamics and Autonomy Level

Decide whether the writer will be embedded full time in a product pod or centralized servicing multiple squads. Embedded writers often ship faster and develop deeper domain expertise but require dedicated budget and management overhead. Centralized models allow you to improve consistency and standardization but risk bottlenecks and shallow domain depth. Technical writers need to collaborate with subject matter experts regardless of structure, and interview skills can be assessed by how writers handle busy subject matter experts.

Deployment Model Dynamics

Compare the friction of hiring a full time technical writer as an FTE versus engaging vetted dedicated remote talent. Consider legal constraints, IP protection, compliance requirements, cost overhead, timezone alignment, and domain specialization. For regulated industries, access controls, confidentiality, and audit trails matter. Freelance technical writers provide flexible support for short term projects and documentation projects with defined scope, while full time hires make sense for continuous, evolving products with frequent releases. Engagement models include full time, contract to hire, or freelance options, and the right model depends on your product velocity and long term success goals.

Crafting a Strategic Profile Instead of a Generic Job Spec

Most technical writer job descriptions read like laundry lists of every tool under the sun. That attracts everyone and qualifies no one. Instead, build the profile around four essential components:

  • Core outcome and mission: What deliverables must this writer own, and what business goals are expected? Reduced support tickets, launch readiness, developer satisfaction, improved user adoption? Exact deliverables should be listed in job descriptions for technical writers. Clear job descriptions improve the hiring experience and success measurement.
  • Technical stack reality: What technologies do they need to touch on day one? Do you have APIs requiring API references and code samples? Cloud infrastructure needing solutions architecture docs? ML model documentation? Which markup languages, CI/CD systems, and CMS platforms are in play? Technical writing varies based on specific deliverables like user guides or API docs.
  • Decision making authority: Can they choose structure, content types, and standards? What level of SME access and product or engineering alignment do they get? This determines whether you attract order takers or strategic contributors with real project management skills.
  • Growth trajectory and stretch goals: This role can evolve into content strategy, information architecture leadership, cross product documentation governance, or management. Setting that expectation attracts senior candidates who want impact and long term success, not just writer jobs. Technical writers do not need exact industry experience but must learn quickly.
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The Vetting and Onboarding Playbook That Actually Works

A Battle Tested Framework for Separating Contenders from Pretenders

Sourcing Reality

Traditional recruiters often yield large candidate pools but dilute specificity. Many resumes look impressive, but when you probe technical context and professional experience, the depth evaporates. Good sourcing channels for technical writers include communities like Write the Docs and STC. Technical Writer HQ is oriented toward hiring technical writers specifically, LinkedIn is ideal for full time and senior technical writer hiring, and Indeed provides high volume applicant reach. Toptal offers pre vetted top tier technical writing talent, while Upwork allows quick hiring with milestone based payments for freelance technical writer engagements. Sourcing candidates can be done through specialized job boards and networks.

Prescreened, engineering led talent networks offer a fundamentally higher probability of finding the right fit: candidates already cleared for code literacy, complex systems experience, and domain expertise. Peer referrals and niche communities (API writing, regulatory documentation) reach people with precise experience that generic job boards miss.

Technical Evaluation Pipeline

Move beyond trivia questions and generic grammar tests. A practical assessment reveals a candidate's writing and comprehension abilities far more reliably. Here is what a rigorous pipeline looks like:

  • Live problem solving exercise: Ask the candidate to analyze an existing doc, identify what is wrong or unclear, propose improvements, and redline or refactor a section. A practical assessment can involve documenting a sample code snippet.
  • Real world scenario architecture review: Present a product or system design and ask how they would document components, flows, error handling, and user journeys. This tests whether they can handle complex concepts and technical details under realistic conditions.
  • Communication under pressure: Give a tight timeline and an ambiguous spec. Observe how they ask questions, handle missing information, and resolve ambiguity. Communication skills are essential for working with cross functional teams.
  • Cross functional culture fit: Bring in product, engineering, support, and compliance stakeholders. See whether the candidate interacts well with each group and can work closely across functions.

Evaluate candidates through writing samples and skill assessments. Candidates should receive short, paid tests that replicate real work tasks, and final candidates should complete realistic paid exercises that reflect job demands. Use a paid trial to assess a writer's skills. Technical writers should possess strong researching and interviewing skills, and they should understand both technical writing and business communication.

The First 90 Days: A Ramp Up Protocol That Delivers Immediate ROI

Define a 30/60/90 day milestone roadmap tied directly to business outcomes and project success:

  • Days 1 through 30: Systems onboarding, existing documentation audit, introductions to SMEs across product, engineering, and support. Begin small deliverables: audit one or two critical docs, fix low hanging documentation gaps, establish a writing style guide if none exists. The goal is orientation and early wins.
  • Days 31 through 60: Own a full documentation piece in a priority product area. Implement small process improvements. Ensure documentation pipelines (review cycles, release sync) are established and functioning. Begin contributing to product documentation and user manuals.
  • Days 61 through 90: Deliver measurable impact: reduced support tickets in a specific area, updated API documentation with code samples, content discoverability improvements, feedback loops with engineering teams. Set ownership and project scope for subsequent phases and establish clear communication cadence.

This structured ramp up transforms a new hire from a cost center into a contributing asset within the first quarter, turning documentation into a driver of project success rather than a bottleneck.

Making the Final Decision with Confidence

Interview Signals That Reveal Who Will Deliver and Who Will Stall

Red flags that should give any executive pause:

  • Over engineering before understanding: The candidate insists on perfect schema tools, overdesigned workflows, and elaborate systems before grasping your domain constraints or project requirements. Tool obsession over outcomes is a consistent predictor of slow delivery and misaligned priorities.
  • Inability to discuss past failures: Every documentation specialist has shipped something that caused user confusion, a version mismatch, or a missed deadline. If a candidate hides these moments, they lack the self awareness to improve and the honesty your internal teams need.
  • Tool obsession over problem solving: Endless focus on which CMS or markup language to use rather than how users find information, how docs integrate with releases, or how technical accuracy gets maintained across versions.
  • Poor communication under ambiguity: If the candidate does not ask clarifying questions when given an incomplete spec, or writes vague technical content when information is missing, they will produce the same output on your product.

Green flags that signal a high impact hire:

  • Pragmatic tradeoff analysis: They know sometimes a faster sketch beats a polished deliverable, and sometimes depth must yield to a release deadline. They make these calls with clear reasoning tied to business goals.
  • Focus on data and system integrity: They use support tickets, usability feedback, and analytics platforms to prioritize documentation work rather than personal preference. Decision making rooted in evidence, not ego.
  • Proactive risk identification: They spot where missing docs will lead to confusion, defects, or compliance issues before anyone else raises the alarm. This kind of human expertise cannot be replaced by AI tools or templates.
  • Cross functional ownership: The candidate takes responsibility not only for compelling content but for processes, tools, quality metrics, and content strategy. They deliver documentation as an integrated part of the product, not as an afterthought.

Evaluating technical writers involves reviewing portfolios for clarity and structure. Portfolio reviews remain the most reliable signal; look for organization, technical accuracy, and the ability to translate complex ideas for a target audience.

Why Engineering Leaders Trust SoftDoes for Technical Writing Talent

Finding the best technical writers is hard enough. Managing the risk of a bad hire while keeping engineering velocity high is harder. SoftDoes eliminates both problems through our technical writing and documentation services.

Here is what makes the engagement model different from traditional recruitment or unmanaged freelance technical writer arrangements:

  • Battle tested senior talent: Every documentation specialist in our network carries deep technical documentation experience across software development, solutions architecture, data modeling, and regulated industries. These are not junior writers learning on your dime.
  • Engineering led delivery oversight: Your technical writer works within a structured delivery framework with architectural review and quality control, not as an unmanaged freelancer producing content in isolation.
  • Rapid deployment capability: Skip months of recruitment friction. Skilled technical writers matched to your stack, domain, and project scope deploy within days.
  • Flexible scaling: Scale documentation capacity up or down as product development cycles demand, without the overhead of permanent headcount changes.
  • Zero risk replacement guarantee: If the fit is not right, we replace the writer at no additional cost. No severance, no restart, no wasted budget.

Whether you need a full time technical writer embedded in your engineering org, a dedicated pod for a documentation overhaul, or contract support for specific documentation projects, SoftDoes provides the right technical writer talent matched to your technical constraints and business goals.

Your Next Move: From Documentation Debt to Engineering Velocity

Every week without the right documentation specialist compounds the cost: slower onboarding, higher support volume, delayed launches, and mounting compliance risk. The best technical writers do not just write; they accelerate your entire engineering organization.

If you are ready to stop absorbing the hidden costs of documentation gaps and start deploying senior technical writing talent that delivers measurable impact, book a technical discovery session with SoftDoes architects. We will assess your documentation landscape, define the ideal profile, and match you with vetted talent ready to contribute from week one.

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