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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

Discover More Seo Copywriters in the SoftDoes NetworkRegister to view more

What our Seo 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 Seo 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 an SEO Copywriter through SoftDoes?

SoftDoes can source vetted senior SEO copywriters in 3 to 5 business days once the profile, outcome metrics, and technical requirements are clarified. From offer acceptance to baseline contributions (measurable organic traffic gains, content refreshes, and initial strategic wins), expect roughly 90 days following the structured ramp up protocol described above. This timeline compresses further when the hiring organization provides clear content briefs and defined decision making authority from the start.

What does it cost to hire an SEO Copywriter?

For a full time senior SEO copywriter in the US market, base salaries typically run from $110,000 to $180,000 per year depending on location and technical domain. Total compensation including bonuses, equity, and benefits often adds 20% to 40% on top of base. For contracted or freelance SEO engagements, integrated SEO copywriters charge $75 to $200+ per hour, and monthly retainer rates range from $2,000 to $8,000 depending on scope and deliverable volume. A beginner SEO copywriter may start at $50 to $100 per piece, but senior operators who deliver search engine rankings improvements and qualified leads command rates at the higher end. Rates for in demand SEO copywriters can increase by 20% to 40% when fully booked, so locking in talent early has a direct cost advantage.

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

SoftDoes supports three models. You can engage an SEO copywriter as a direct hire (FTE) embedded within your marketing or development team. You can build a dedicated pod with supporting editor, content strategist, and link building roles for faster scaling. Or you can use a contract or retainer model, often remote, for specific deliverables or time bound projects. Each model includes governance structures to guarantee output quality, compliance, and accountability. The right choice depends on your content volume, the complexity of your SEO strategy, and whether you need ongoing creating content at scale or focused project work.

How do you ensure time zone alignment with an SEO Copywriter?

SoftDoes evaluates overlap windows during the matching process, targeting 4+ hours of overlap with your core engineering and product teams. For remote hires, SoftDoes confirms availability during your business hours and establishes a meeting cadence early to resolve any misalignment. Asynchronous workflows (commented content briefs, shared performance dashboards, recorded feedback sessions) supplement real time collaboration so that the SEO copywriter stays productive outside of overlap hours without blocking other team members.

How does SoftDoes technically vet an SEO Copywriter?

SoftDoes runs a multi stage technical evaluation pipeline. Candidates are pre screened using published work with verified performance metrics (organic traffic growth, search rankings movement, conversion data). They complete a write test assignment based on your specific domain and target audience. They go through a scenario based architecture review where they audit real content structures and identify internal link equity failures, duplicate content, and keyword opportunities. SoftDoes also runs communication and stakeholder simulation exercises (handling conflicting feedback from product, legal, and marketing) and cross team reviews with dev, UX, and legal where relevant. Every candidate is evaluated on data based thinking using Google Analytics and Search Console, knowledge of E‑E‑A‑T and current ranking signals, and hands on familiarity with SEO tools in active use.

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

SoftDoes offers a zero risk replacement guarantee. If within a defined period (typically 30 to 90 days) the SEO copywriter misses agreed baseline deliverables or does not fit the team, SoftDoes replaces them at no extra cost. Scaling up means adding support roles (editor, content strategist, brief writer) or increasing content output volume. Scaling down means reducing deliverables or transitioning to a contract or part time model. You are never locked into a structure that does not match your current business needs, and every adjustment is governed by the same accountability framework that applies from day one.

The Executive Guide to Hiring an Seo Copywriter

A mismatched SEO copywriter costs more than their salary; it costs you months of stalled organic traffic, a content backlog that compounds, and customer acquisition costs that stay pinned to paid channels. One small business analysis found that a single botched copy project consumed 44+ hours of internal time and bled $5,000+ in lost leads from bounce and conversion drops. This playbook gives you a field tested strategy to define, vet, and onboard top tier SEO copywriter talent so the hire pays for itself before the first quarter ends.

What Separates Senior SEO Copywriter Talent from Task Executors

Operational Realities and Advanced Capabilities

Most copywriters fill briefs. A senior SEO content writer owns outcomes. The difference shows up in what they do on a Tuesday afternoon and in the business metrics they move over 90 days. Here is what a senior operator actually handles:

  • Content decay diagnosis and recovery. They use Google Search Console and log analysis to spot pages that once ranked and now leak traffic, then determine whether the cause is thin content, outdated information, or crawl issues before proposing a fix.
  • Keyword research aligned to user intent, not vanity volume. They evaluate search intent at the query level, mapping keywords to the buyer journey rather than chasing high search volume terms that attract the wrong audience. Ignoring search intent leads to mismatched content and low conversions.
  • On page SEO and internal linking architecture. They manage anchor text strategy, crawl equity distribution, and orphan page cleanup. This is on page SEO work that directly affects how search engines index and rank your web pages.
  • E‑E‑A‑T integration at the content layer. They bake expertise, experience, authority, and trust into every piece of written content, which is the primary signal Google uses to determine whether content provides helpful, reliable user value.
  • Cross functional collaboration with engineering and product. They work with developers on schema markup (FAQ, HowTo), Core Web Vitals, URL slug structure, and CMS constraints. This is not a marketing silo role; it is a systems role.
  • Trade off management. Balancing keyword optimization against readability, prioritizing content refreshes versus new production, and protecting brand voice while scaling output with templates. Keyword stuffing hurts readability and conversion rates; a senior hire knows exactly where the line is.

Financial and Operational Returns

Hiring the right SEO copywriter is a capital allocation decision. The ROI vectors are concrete:

  • Customer acquisition cost reduction. SEO optimized content can lower customer acquisition costs by shifting volume from paid channels to organic traffic. One industry report measured a median ROI of 312% from SEO spend among small businesses, outperforming paid channels over any time horizon longer than six months.
  • Technical debt recovery. Refreshing underperforming existing content reclaims previous investment rather than requiring new dollars. A well scoped content audit identifies pages worth saving versus pages worth retiring.
  • Faster deployment cycles. With standardized content briefs and a clear writing process, fewer revisions bounce between copy, SEO, and development teams. This saves weeks per quarter.
  • Risk mitigation in regulated industries. Poor E‑E‑A‑T, aggressive stuffing keywords, or unverified claims in healthcare, finance, or legal content can trigger penalties and compliance violations. A qualified SEO copywriter handles this by default.

Pre Search Groundwork: Audit Before You Source

Mapping Your Technical Constraints

Before you write a job spec, know what problem you are actually solving. Most failed hires trace back to an unclear scope, not a bad candidate.

Architecture and Content Debt Audit

Start with the content you already have. Identify pages that once ranked and now bleed traffic. Determine whether the root cause is thin content, outdated information, broken internal links, or indexation limits from CMS restrictions (URL slug control, schema embedding, page load performance). If your biggest problem is 200 decaying blog posts, you need a different profile than if you are entering three new product verticals from scratch.

Team Dynamics and Autonomy Level

An embedded specialist sits inside your marketing or product team, reports to multiple stakeholders, and needs high alignment overhead. A dedicated pod (SEO copywriter + editor + link builder + content strategist) operates with more autonomy and ships faster, but requires a larger investment. Match the model to your editorial calendar cadence and approval bottleneck reality.

Deployment Model Trade Offs

An in house FTE carries fixed costs (benefits, equipment, management overhead) but builds deep industry knowledge and compliance awareness over time. A vetted remote senior hire through our talent network gives you access to professional SEO copywriters across North America with flexibility to scale, but requires structured alignment processes and clear content briefs from day one. Companies often waste money hiring separate SEO and copywriting services when a single senior operator can own both.

Engineering the Ideal Profile Instead of a Generic Job Spec

Generic job specs attract generic applicants. Build a profile around four components:

  1. Core outcome and mission. Is this hire scaling blog content volume, improving search engine rankings on existing landing pages, reducing churn on service pages, or entering new verticals? Each mission demands a different skill set. State the business objectives explicitly.
  2. Technical stack reality. Which SEO tools are in production (Ahrefs, Surfer SEO, Google Analytics, Search Console)? What CMS? What analytics stack will measure success? The ideal SEO copywriter should be a strong researcher who can learn new industries, but they need to walk in with tool proficiency on your specific stack.
  3. Decision making authority. Can they influence the editorial calendar, topic clusters, metadata, and URL structure? Or do they need approvals for every change? Strategic thinking dies in organizations that gate every decision behind three layers of review.
  4. Growth trajectory. Does this role evolve into content strategist or SEO lead, or does it stay execution focused? Define seniority, expected outputs, and whether mentorship responsibilities are part of the package. This affects who applies.
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The Vetting and Onboarding Playbook

A Battle Tested Vetting Framework

Sourcing Reality

Traditional recruiters produce large candidate pools with unverified portfolios. Freelance platforms like Upwork can help find qualified SEO copywriters, but volume is the enemy of quality. Prescreened talent networks that verify actual traffic and ranking outcomes from published work surface candidates who have already met a high bar. Ask for writing samples with performance data attached; a strong portfolio should show improved conversion rates, not just word counts. Avoid hiring those who make unrealistic promises regarding rankings or timelines.

A freelance SEO copywriter or freelance SEO writer may charge between $150 to $2 per word depending on complexity and domain. Integrated SEO copywriters typically charge $75 to $200+ per hour. Monthly retainer rates for SEO copywriters can range from $2,000 to $8,000, and rates can increase by 20% to 40% when a writer is fully booked. A beginner SEO copywriter may start at $50 to $100 per piece, but at that price point you rarely get the strategic thinking, competitive analysis, or thorough research that moves search rankings.

Technical Evaluation Pipeline

Skip trivia. Use scenario based assessments that mirror the actual writing and strategic work:

  • Live problem solving. Hand the candidate a decaying service page with real analytics. Ask them to diagnose the problem and propose a fix. Watch whether they focus on search intent, content gaps, or just keyword density.
  • Architecture review. Ask them to audit a section of your current content structure. Can they identify failures in internal link equity, areas of duplicate or overlapping web content, and keyword opportunities you are missing?
  • Communication under pressure. Simulate a stakeholder conflict: product wants keyword heavy copy, legal wants restricted language. See how they mediate. Evaluating the writing process under these conditions reveals more than any portfolio review.
  • Cross functional culture fit. Assess their ability to collaborate with engineers on site speed and schema, with UX on user journey, and with compliance on regulated claims. SEO copywriters who work well with cross functional teams deliver results that siloed writers cannot.

SEO copywriters should showcase performance based portfolios with real examples. They use tools like Google Analytics for performance tracking and analysis, and they understand both search intent and conversion psychology. Providing clear briefs increases the likelihood of successfully engaging a writer, so evaluate whether candidates can also do brief creation for others.

A Frictionless 90 Day Ramp Up Protocol

A structured onboarding plan prevents the "quiet first quarter" problem where a new hire spends months figuring out what to do:

Days 1 to 30: Immersion and quick wins. The new SEO copywriter absorbs your target audience, brand voice, tooling, and content marketing strategy. They conduct a content audit and keyword gap analysis. They identify 5 to 10 quick wins: pages to refresh, underperforming blog content, meta descriptions that are bleeding CTR. The first Google search result has a 27.6% CTR; a meta refresh on a page sitting at position 2 or 3 can deliver measurable organic traffic gains within weeks. SEO copywriters help brands capture organic traffic effectively when they start with these low effort, high return tasks.

Days 31 to 60: Strategic delivery and measurement baselines. They deliver on the quick wins and begin tackling strategic SEO content projects (pillar pages, topic clusters, new landing pages for service offerings). They set up performance tracking baselines: organic traffic growth targets, CTR by page, conversion rate benchmarks (industry standard sits around 2.5% to 5%), and dwell time targets above 3 minutes. Effective SEO content requires keyword research and content strategy working in tandem. SEO copywriters can increase organic traffic by 30% when given clear baselines and autonomy.

Days 61 to 90: Scaling and reporting. They scale the content production pipeline, begin proactive content strategy work (expanding topic clusters, building authority through guest posts, creating content for new keyword opportunities), and report early wins to internal stakeholders. This is also when you identify whether the hire needs additional resources (editor, strategist) or process adjustments. By day 90, a senior hire should be operating at full velocity with measurable contributions to website visibility and search results performance.

Final Evaluation and Engagement Decision

Interview Signals That Predict Success or Failure

Red Flags:

  • Tool obsession without outcome evidence. If a candidate talks about keyword density percentages and SEO tools features but cannot describe how they moved a business metric, they are an order taker. Most copywriters fail to integrate SEO with persuasive writing; this is the root cause.
  • Inability to discuss past failures. Every experienced SEO copywriter has published content that dropped in search rankings or failed to convert. Candidates who cannot name a failure and explain what they learned are either too junior or dishonest.
  • Generic template dependency. A portfolio full of mass produced thin blog posts with no differentiation signals a freelance copywriter who prioritizes volume over qualified leads and conversions.
  • Overdependence on a single channel or format. SEO copywriters adapt content for various platforms while maintaining brand voice. A candidate who only writes 800 word blog posts and has never touched website copy, ecommerce sites, or landing pages lacks the range you need.

Green Flags:

  • Pragmatic trade off analysis. They articulate when to refresh existing content versus invest in new production. They balance SEO requirements with engaging content for readers and can explain the reasoning behind each call. SEO copywriting integrates keyword research with persuasive writing; green flag candidates demonstrate this integration naturally.
  • Data driven decision making. They show traffic lifts, bounce rate drops, and conversion rate improvements from their work. Conversion Rate Optimization (CRO) transforms traffic into buyers using strong calls to action, and the best candidates understand this deeply.
  • Proactive risk identification. They flag duplicate content, site speed issues, crawling problems, and search algorithm updates before you ask. They know that SEO copywriters need to adapt content based on search algorithm updates and build that vigilance into their workflow. A solid SEO strategy includes understanding user goals and search intent at every stage.
  • Systems ownership mindset. They treat SEO copy output as part of a larger system: content strategy, site structure, digital marketing alignment, UX integration. They bring seo expertise and industry knowledge to the table rather than waiting for detailed instructions on every piece. Writers should interview clients to incorporate expertise and real customer questions into engaging copy.

The SoftDoes Strategic Advantage

SoftDoes deploys battle tested senior talent with engineering led delivery oversight, not unmanaged freelancers. Separate hiring of SEO specialists and copywriters often results in poor outcomes; SoftDoes combines both capabilities into a single vetted operator. Rapid deployment means your SEO content writer can be embedded and delivering first strategy revisions and content refreshes within week one. You get the flexibility to scale up (adding editors, strategists, or additional writers) or scale down without renegotiating contracts. And the zero risk replacement guarantee means that if the hire misses agreed baseline deliverables within 30 to 90 days, SoftDoes replaces them at no extra cost.

For technology companies and SaaS companies scaling content operations, this model eliminates the hiring process bottleneck that keeps optimized content off the production line for months.

What to Do Next

If your organic traffic has plateaued, your content marketing pipeline is stalled, or your team is spending more on paid channels than it should, the gap is likely a senior SEO copywriter with the seo best practices knowledge, strategic thinking, and writing skill to deliver results.

Book a technical discovery session with SoftDoes architects to define the profile, scope the engagement, and get a vetted operator deployed within days. Visit our services overview to start the conversation.

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