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Discover developers that match your project requirements.

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

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 Copywriters can build

Not sure which engagement model fits?

SoftDoes takes full ownership of delivery, combining project management, engineering, design, and QA into one accountable team focused on successful outcomes.

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RIGHT expert, FASTER

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How to hire a Copywriter

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 Copywriter through SoftDoes?

Most engagements move from initial briefing to candidate presentation within 48 hours, and clients can complete hiring in 1 to 2 weeks. For enterprise contexts with specific vertical or regulatory constraints, the timeline may extend slightly to ensure domain expertise alignment. Full onboarding and shallow ramp typically take 2 to 4 weeks, with the writer reaching full productivity and ownership around the 8 to 12 week mark, depending on complexity of the business and the depth of compliance requirements.

What does it cost to hire a Copywriter?

For a senior copywriter in enterprise B2B, base salary ranges commonly fall between $85,000 and $130,000 or more depending on market, location, and cost of living, plus benefits. Freelance copywriting rates for high impact projects often range from $1,500 to $5,000 per deliverable, or $40 to $150 or more per hour depending on specialty, urgency, and domain expertise. Freelance copywriting jobs can pay over $100 per hour for top talent. Hiring platforms often charge commissions up to 10%, which adds to total cost of engagement. Our engagement models are structured to be cost effective while eliminating the hidden costs of rework, misalignment, and compliance risk that make cheap hires expensive in the long run.

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

We offer multiple models tailored to your operational reality. Full time dedicated hire integrates a senior writer into your team for ongoing brand messaging, email campaigns, website copy, and content strategy. A dedicated pod provides a writer alongside an editor and strategist for comprehensive campaign execution across various mediums, from ebooks and white papers to ads and video scripts. Contract or project based engagement is ideal for specific initiatives like product launches or funnel builds. Each model carries different tradeoffs in flexibility versus institutional knowledge and cost versus control, and we help you select the one that fits your constraints.

How do you ensure time zone alignment with a Copywriter?

Our talent pool is focused on North America, which provides natural overlap with US and Canadian business hours. For engagements requiring broader coverage, we define "core hours" for synchronous collaboration and establish async workflows using shared docs, feedback platforms, and project management tools. Scheduled check ins, clear turnaround expectations for urgent edits, and Slack or Teams availability windows ensure that time zone differences never become a bottleneck. The goal is that your writer operates as a seamless extension of your team, not a remote dependency you have to chase.

How does SoftDoes technically vet a Copywriter?

Our vetting process is built on the same rigor we apply to engineering talent. We source from networks with proven senior talent and verify portfolios with data, including conversion impact, campaign metrics, and compliance track records. Candidates complete live problem solving tasks with real constraints, present messaging architecture rationale in a walkthrough format, and demonstrate communication skills under pressure. We conduct reference checks and validate domain expertise for regulated industries. Top 3% of applicants pass the vetting process, ensuring that every writer we present is not just talented but operationally ready for enterprise environments where the stakes are high and the margin for error is thin.

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

Our zero risk replacement guarantee means that if the writer is not delivering the results you need, we replace them without friction or delay. You are never locked into a relationship that is not working. For scaling, our model is designed for flexibility: you can add writers, bring in specialists for specific projects, or reduce scope as your needs evolve. We also provide structured feedback loops and performance reviews so that fit issues surface early, long before they become expensive problems. The goal is simple: you should always have exactly the right talent, at the right scale, for the work in front of you.

The Executive Guide to Hiring a Copywriter

A single bad copywriting hire can silently drain six figures in rework, missed campaigns, and brand inconsistency before anyone notices the bleed. A slow hiring pipeline is just as costly: every week without the right writer is a week your competitors own the conversation with your buyers. This playbook delivers a field tested strategy to define, vet, and onboard top tier Copywriter talent, built from the engineering trenches, not from an HR textbook.

What Actually Separates Elite Copywriters from Expensive Order Takers

The Daily Realities That Define Senior Writing Talent

Great copywriting requires understanding that it has a specific job to do. When you hire a copywriter at the senior level, you are not paying for someone who arranges words on a page. You are investing in a professional who owns business outcomes. Here is what that looks like in practice:

  • Owning brand messaging strategy across channels. Senior copywriters set and adjust tone, voice, and positioning frameworks that align with long term brand strategy. They do not wait for briefs. They build messaging architecture that holds across website copy, email campaigns, ads, white papers, video scripts, and social media posts. Effective copy must combine persuasion with strategic brand communication.
  • Data driven copy optimization. They run A/B tests on headlines, email sequences, and conversion funnels. Even a modest lift in conversion rate compounds heavily in scaled B2B or SaaS contexts. Measuring the impact of copy through specific outcomes is vital for brands. These writers track CTR, CVR, and revenue per session, and they iterate until the numbers move.
  • System design and tradeoff management. Balancing speed versus quality, short term campaign urgency versus long term brand consistency, compliance in regulated industries versus creative risk, and integrating SEO, legal review, and UX constraints. Good copywriters know that clarity often outperforms flowery language, and the best ones apply that principle under real operational pressure.
  • Cross functional communication and leadership. Senior content writers work fluently with product, design, legal, compliance, and marketing ops. They mentor junior writers. They translate complex technical or regulatory requirements into compelling content without slowing review cycles. A copywriter should have a deep rooted curiosity about human psychology, which is what makes cross functional collaboration effective rather than performative.
  • Ownership over performance metrics, not just deliverables. They do not see writing copy as "done" when the draft ships. It is done when it moves the needle. They proactively spot risks (tone misalignment, messaging drift, legal exposure, SEO penalty) and own resolution. Copywriters help businesses generate leads and increase sales, and the best ones can prove it with numbers.
  • Comfort with generative AI as amplifier, not replacement. Familiarity with prompt engineering, review, and editing workflows. The ability to guide AI tools while maintaining brand integrity and strategic coherence is now essential.

If you hire someone without these capabilities, the risk is wasted budget on editing, rework, inconsistent brand voice, low conversion, and delays in campaign launch.

The Financial and Operational Case for Getting This Right

Hiring the right senior copywriter generates measurable ROI and mitigates risk across several vectors:

  • Revenue lift via conversion optimization. Specialized copywriters create high conversion content tailored to business needs. In one documented case, raising a landing page conversion from 0.8% to 2.8% multiplied monthly revenue by more than 3x, meaning a significant upfront cost paid for itself in under a month. Copywriters can craft high converting landing pages that generate leads at a pace that justifies the investment many times over.
  • Reduced creative and technical debt. Consistency in brand messaging reduces rework, fewer misalignments, fewer rounds of revision. Each delay or iteration adds cost, not only in hours, but in opportunity cost for other marketing or sales activities. Copywriters create content that cements brand image and drives repeat business, compounding the value of every piece they produce.
  • Shorter deployment cycles. When writers are deeply integrated with product, design, and marketing ops, campaign timelines compress. Instead of waiting weeks for copy to be revised, reviewed, and approved, aligned ownership and clear processes reduce friction. High quality content drives traffic to websites and builds customer relationships, and speed to publication is a competitive advantage.
  • Risk mitigation in regulated industries. In finance, healthcare, and edtech, mistakes in tone, compliance, or disclosure clauses lead to legal liability or reputational damage. A senior, compliance aware writer reduces exposure. This is non negotiable for enterprise clients who cannot afford a regulatory misstep.
  • CPA improvement and scalability. Better copy reduces customer acquisition cost, improves lifetime value through stronger onboarding messaging and retention copy, and enables scaling paid and funnel campaigns with less waste. Content writing focuses on optimizing articles to drive organic web traffic, and a senior writer who understands SEO alongside persuasion unlocks both paid and organic channels simultaneously.

Auditing Constraints Before You Start the Search

What to Map Before You Write the Job Description

Before drafting your ideal candidate profile, audit your technical, operational, and team constraints so the hire can hit the ground running. Defining project scope and goals is crucial when hiring a copywriter, and that clarity starts internally.

Identifying Your Messaging Debt and Priority Problem

Ask: what copy and messaging debt do we carry? Are there outdated tone documents, misaligned UX messages, landing pages built on old SEO strategy, regulatory copy that has not been updated? Identify which problem this hire must solve first: brand voice consistency, funnel messaging, compliance clarity, conversion lift, or content scale. Also assess whether your content platform (CMS, design templates, brand guidelines, style guides) supports consistency and speed. If not, the copywriter will spend most of their time fighting upstream blockers. Initial briefs should provide comprehensive business, audience, and product information so that the writer can focus on the actual job, not on chasing context.

How Autonomy and Team Structure Shape Seniority Requirements

Define whether the copywriter will be embedded in a marketing department, in a product team, or within a creative pod. How much autonomy do they have? Are they expected to take full ownership of messaging and copy workflows or simply execute? Clarity here determines seniority needs. Also understand supporting resources: design, UX, research, legal, compliance. If these are thin, you need someone who can generate assets across various mediums, work with limited feedback, and possibly lead or coordinate other stakeholders. Adaptability is essential for copywriters to match brand voice across formats, and a writer who can operate independently is worth significantly more than one who needs constant direction.

In House FTE Versus Vetted Remote Talent: The Real Tradeoffs

Compare in house full time employees versus vetted remote senior contractors versus dedicated pods. In regulated industries, FTEs may offer stricter control over compliance and IP. Remote or hybrid models bring scale and flexibility. Consider onboarding overhead, time zones, communication protocols, and legal considerations. Freelance copywriting offers cost effective flexibility, but unmanaged freelancers introduce risk of inconsistent quality and slower onboarding. The question is not "which model is best" but "which model fits your constraints and risk tolerance." Our talent network is built to reduce the friction on all three models.

Building a Profile That Attracts the Best Copywriters, Not a Generic Spec

A powerful job spec means defining four essential profile components:

  • Core outcome and mission. What business result is this hire accountable for? Examples: increase website conversion rate by a specific percentage, reduce cost per acquisition for paid channels, own brand voice across product and marketing, decrease legal review cycles, improve enterprise sales content effectiveness. Copywriters can produce compelling website copy that tells brand stories, and the mission statement should reflect that ambition.
  • Technical stack reality. What tools must they know or adapt to? Knowledge of SEO tools (Ahrefs, SEMrush, GSC), analytics (GA4, Mixpanel), CMS platforms (WordPress, headless), marketing automation (HubSpot, Marketo), plus tools for compliance or accessibility. Research ability is essential for copywriters to understand unfamiliar topics, and a strong writer will adapt to your stack rather than expecting you to adapt to theirs.
  • Decision making authority. Can they approve messaging changes, launch copy without legal sign off, define experiment design, set tone, lead junior writers, own the content backlog? The more autonomy, the higher seniority needed.
  • Growth trajectory. Where does this role grow? Into Head of Copy, Creative Lead, Content Strategy Director? Is there opportunity to scale a team? This is key to attracting the most talented professionals. If they see the next step in their career, they invest more in the company.

Also specify vertical specialization if relevant: regulatory industries need experience with FINRA, HIPAA, GDPR, or similar frameworks. For software companies, experience in AI/ML, cloud, or product documentation may be critical.

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The Vetting and Onboarding Playbook That De Risks Every Hire

A Vetting Framework Built on Performance, Not Portfolios Alone

Where the Best Talent Actually Comes From

Traditional recruiters often miss top tier strategists. Portfolios may be visually impressive but reveal nothing about whether the writing moved business metrics. A relevant portfolio is more important than credentials in hiring decisions, but even portfolios need context. Alternative channels: vetting via creative networks, direct outreach to writers embedded in industries you are targeting, referrals from product and marketing teams in regulated companies, and using vetted talent partners where past performance is proven. Upwork is a popular platform for freelance copywriters, and WorkGenius has over 1,800 pre vetted copywriters available, with WorkGenius matching clients with copywriters in 48 hours. CozyJobs features freelance copywriting jobs paying over $100 per hour, while Contra has a low volume of freelance copywriting jobs available. Get A Copywriter offers a pool of native English speaking writers. Prioritize sources with real proof of impact over volume of applicants. Top 3% of copywriter applicants pass rigorous quality assessments, and that filter is what separates a hiring process from a gamble.

Designing the Evaluation Pipeline Like a Product

Design the eval pipeline to surface real capability:

  • Live problem solving over trivia. Give candidates a realistic prompt: a product page rewrite, an email drip campaign, a landing page with competing messages, complete with real constraints (regulation, old SEO, limited time). Effective hiring processes include testing candidates with small projects, and this is where you see who can actually sell with words versus who merely writes.
  • Architecture review style walkthrough. How do they structure messaging architecture? How do they map audience segments, personas, user journeys? Ask them to present or sketch messaging flows or voice and tone decision rationale. Evaluating a copywriter's process is often more predictive of their success than evaluating a finished piece.
  • Communication under pressure. Deadlines, changing requirements, feedback. How do they ask clarifying questions? How well do they take critique? Copywriters should ask probing questions during the briefing phase, and the ones who do not are often the ones who deliver off target work. A copywriter's ability to handle feedback and revision indicates reliability.
  • Cross functional culture fit. Since they will work with product, UX, compliance, and ops, ensure they understand business tradeoffs, cost of delays, and risk. Probe for past failures, how they managed tradeoffs, and how they aligned misaligned stakeholders. Portfolio evaluation should include assessing relevant sample work for specific projects, but culture fit determines whether great copy actually ships.

The 90 Day Roadmap to Full Ownership and Measurable ROI

To ensure early ROI and embed ownership, the ramp plan must be explicit and milestone driven:

  • Day 1 through 30: Deep immersion. Get them onboarded with all style guides, brand messaging docs, compliance and legal requirements, audience personas, and the full tech stack. Begin by rewriting or auditing existing copy. Set initial small wins: an email sequence revamp, a landing page refresh, or a set of social media posts that can go live quickly. Assign a mentor. Email marketing encompasses developing automated campaigns to nurture leads, and a strong writer should be contributing to those flows within the first month.
  • Day 31 through 60: Campaign ownership. They should lead messaging strategy for a live product or feature, propose improvements, and start A/B tests. Track analytics, make real world changes. Begin upstream work: messaging frameworks, brand voice updates, and content systems that will scale. This is where you see whether you have a professional who owns outcomes or someone who simply fills a copywriting job.
  • Day 61 through 90: Full responsibility. They should be managing collaboration with design, UX, and legal. Launching multiple pieces. Owning performance metrics. Mentoring other writers or guiding junior content. Expect measurable KPI improvement or at least a clear plan in flight. If you have reached this milestone, the hard work of the hiring process has paid off.

Separating Signal from Noise: The Final Interview Decisions

What the Conversation Reveals About Long Term Fit

Here is what to watch in candidate conversations. These signals consistently predict risk or success:

Red flags:

  • Tool obsession over problem solving. Excessive focus on tools ("I use XYZ AI, Grammarly, etc.") rather than how they reason through the message, strategy, conversion, and compliance. Tools are table stakes; thinking is the differentiator.
  • Inability to discuss past failures. If they only ever talk about successes, they lack the tradeoff awareness and risk management instinct that enterprise environments demand. Every knowledgeable writer has projects that went sideways, and what matters is what they learned.
  • Excessive jargon without audience focus. They talk about keyword density, content hubs, and engagement metrics but cannot articulate audience pain points or emotional resonance. SEO matters, but writing that does not connect with readers is just noise on the internet.
  • Lack of ownership over metrics. "I wrote copy, the designer handled conversion" versus "I owned CTR, conversion, and lift." The former is an order taker. The latter is who you want writing for your customers.

Green flags:

  • Pragmatic tradeoff analysis. Recognizes delays, compliance requirements, tone constraints, and budget limitations and can articulate which choices they would make and why. This person understands that great copy is a function of constraints, not their absence.
  • Focus on data and system integrity. Past work showing experimentation, iteration, and measuring not only outputs (words shipped) but outcomes (conversion, retention, brand equity). They understand that the competition is won in the details.
  • Proactive risk identification. Spotting legal, compliance, usability, SEO, or tone risks before being asked. This is especially critical for our services in regulated industries where a single compliance lapse can be extraordinarily expensive.
  • Strong cross functional thinking. Talks fluently with designers, product managers, legal, and UX. Knows what makes copy scalable and maintainable. This is the person who makes the entire team more productive.

Why SoftDoes Eliminates the Hiring Gamble

SoftDoes exists to solve the exact problem this playbook describes. We are a North America focused custom software engineering and data and AI partner serving clients across the US and Canada. When you need to hire copywriters through our network, you get:

  • Battle tested senior talent. Not a random freelance copywriter from a marketplace. Copywriters are pre vetted for quality and expertise, with only the top 3% of applicants passing our vetting process. Every writer in our network has demonstrated measurable business impact, not just a polished portfolio.
  • Engineering led delivery oversight. Not unmanaged freelancers. Our delivery model ensures consistent quality, structured feedback loops, and alignment with your technical and compliance requirements. This is what separates a cost effective talent partner from a staffing agency.
  • Rapid deployment capability. Copywriters can be matched within 48 hours. Clients can complete hiring in 1 to 2 weeks. When your team needs to move fast, we move with you.
  • Flexibility to scale up or down. Project demands change. Your talent model should change with them. Whether you need a single writer for a product launch or a dedicated pod for ongoing brand and marketing initiatives, our model adapts.
  • Zero risk replacement guarantee. If the person is not the perfect fit, we replace them. No arguments, no delays. You focus on your business; we own the talent risk.

The Next Step: Stop Losing Money on Slow Hiring

If your company is losing campaigns, customers, and confidence because of inconsistent or absent copywriting talent, the cost of waiting is real and it compounds. The best copywriters are not sitting on job boards hoping someone notices them. They are embedded in networks like ours, working with confident leaders who understand that investing in the right writer is investing in revenue.

Book a technical discovery session with our team. We will map your constraints, identify the ideal profile, and present pre vetted candidates who can start delivering compelling content within days, not months. Explore how our growth marketing specialists complement senior copywriting talent to build a complete demand generation engine.

No long term commitment. No hiring risk. Just the right person, deployed fast.

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