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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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What our Blog Writers can build

Not sure which engagement model fits?

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RIGHT expert, FASTER

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How to hire a Blog Writer

01
BROWSE PROFILESRIGHT NOW

Fill out a short form and see who's on the bench. Real profiles, verified histories.

02
Interview1-3 DAYS

Tell us what you need. We propose two or three candidates from the bench; you interview them directly.

03
OnboardWEEK ONE

Your engineer starts on your project. Contract, payments, and the guarantee run through us.

US VS. THE DATABASE

Time to Start
Talent Quality
Technical Vetting
Flexibility
Operational Overhead
Cost Efficiency
cursor
<SoftDoes>
Time to Start
1-2 weeks
Talent Quality
Senior-only engineers
Technical Vetting
Multi-stage screening
Flexibility
Scale up or down anytime
Operational Overhead
As managed as you want
Cost Efficiency
Competitive, fee-free
Talent Marketplaces
Time to Start
1-3 months
Talent Quality
Mixed experience levels
Technical Vetting
One screen, then gone
Flexibility
Contract restrictions
Operational Overhead
Partially managed
Cost Efficiency
Agency markup
In-House Hiring
Time to Start
2-6 months
Talent Quality
Depends on market
Technical Vetting
Internal responsibility
Flexibility
Long-term commitment
Operational Overhead
Fully internal
Cost Efficiency
Highest total cost

Frequently Asked Questions

Everything you need to know about deploying, scaling, and securing your neural agents with SoftDoes. Can’t find an answer?

How long does it take to hire a Blog Writer through SoftDoes?

The typical process from initial planning to content production takes four to six weeks. This includes scope definition and requirements gathering in the first one to two weeks, sourcing and matching from the vetted talent network over the following one to two weeks, a vetting and test assignment phase of about one week, and final onboarding in the last week. For urgent needs, timelines can often be compressed depending on the niche and complexity of your content requirements.

What does it cost to hire a Blog Writer?

For enterprise grade, technical blog content with senior writers, expect costs in the specialist tier of roughly $250 to $500 or more per 1,000 to 1,500 word article. Thought leadership or interview based long form content typically runs higher, from $0.75 to $2.00 or more per word depending on domain and scope. The median salary for a blog writer in the U.S. is $75,000 annually for a full time role. With a pod or team delivery model, pricing is typically structured as a fixed monthly retainer based on output volume, which provides budget predictability while maintaining quality.

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

SoftDoes offers several flexible models tailored to your content needs. A single dedicated specialist works best for consistent, ongoing blog production. A contract or project based engagement is ideal for shorter bursts or trial periods. A content pod combines multiple specialists such as a writer, editor, SEO strategist, and subject matter expert support for high volume or complex content programs. Each model includes the same quality guarantees and access to senior, North American talent.

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

All talent is sourced from North America, ensuring natural overlap with US and Canadian business hours. Beyond geography, SoftDoes sets clear expectations for availability from the start, uses collaboration tools for asynchronous communication, and schedules regular synchronous check ins to maintain alignment. This balance of real time access and structured workflows keeps projects on track without requiring constant supervision.

How does SoftDoes technically vet a Blog Writer?

The vetting process combines multiple layers: screening of real work samples in relevant niches, domain specific interviews to assess subject matter expertise, standardized paid test assignments scored on research depth, clarity, structure, SEO fluency, originality, and voice match. SoftDoes also evaluates tool proficiency (CMS platforms, SEO tools, analytics), collaboration skills, fact checking rigor, and compliance awareness. Reference checks and review of measurable content performance round out the evaluation before any writer is presented to a client.

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

SoftDoes includes replacement guarantees in every engagement. If a writer is not performing or the fit is not right, a replacement is provided without disrupting your content calendar. Structured assessment points at the 30, 60, and 90 day marks ensure early detection of any issues. Scaling is equally straightforward: you can add writers, shift to a pod model, or reduce scope as your content needs evolve, all without renegotiating from scratch.

How to Hire a Blog Writer

Most companies burn weeks chasing freelance writers on generic platforms, only to end up with shallow blog content that misses the mark on brand voice, technical accuracy, and SEO. The outcome you actually want is a senior content writer who ramps fast, publishes high performing articles, and directly supports your marketing goals. This guide walks you through the full process: defining the role, preparing your requirements, vetting candidates, onboarding effectively, and making a final hiring decision you can stand behind.

What a Blog Writer Really Does and Why the Role Matters

From Drafts to Strategy: What a Blog Writer Actually Does

A blog writer is not just a person who strings sentences together. In a B2B or enterprise context, the role sits at the intersection of research, SEO, audience psychology, and brand storytelling. Top tier blog writers understand audience psychology and brand voice, and they translate complex business or technical ideas into informative, readable content that drives measurable outcomes.

Here is what the day to day work looks like in practice:

  • Deep research and source verification: Expert blog writers conduct intensive research and cite credible sources, whether that means reviewing technical documentation, interviewing subject matter experts, or analyzing competitor content for gaps. This is not surface level stuff.
  • Drafting and self editing: Professional blog writers deliver drafts that require minimal revisions, handling everything from long form content like in depth guides and thought leadership pieces to shorter blog post formats, landing pages, and tutorials.
  • SEO execution: SEO mastery includes structuring content for featured snippets and internal linking. A skilled content writer knows how to align articles with search engines, optimize for keywords without keyword stuffing, and use tools like Clearscope or Surfer to validate their work.
  • Voice and tone calibration: Skilled blog writers adapt tone to match company style and audience. Whether your brand is technical and precise or conversational and approachable, the writer must flex without losing consistency.
  • Content planning and performance tracking: Senior blog writers understand content performance and audience intent. They map each blog post to a specific funnel stage, track engagement and lead generation, and proactively suggest ideas for content refreshes.
  • Cross functional collaboration: Working with product managers, engineers, compliance teams, and editors to gather insights, validate claims, and ensure accuracy, especially in regulated industries.

Why Hiring the Right Blog Writer Is a Strategic Priority

Getting this hire wrong costs more than just the writer's pay. Generic or inaccurate blog content erodes brand authority, wastes marketing budget, and fails to guide readers toward conversion. Hiring the right person delivers concrete business benefits:

  • Stronger organic visibility: High quality, SEO aligned articles rank better on Google and drive qualified traffic to your website over time, compounding your content marketing investment.
  • Higher content conversion: Blog content mapped to the buyer journey supports lead generation, reduces friction in sales cycles, and enables self serve onboarding or education.
  • Credibility and trust at scale: In technical or regulated industries, publishing accurate, well researched articles builds lasting authority that positions your brand as a go to resource.
  • Operational efficiency: A capable freelance blogger or dedicated writer frees up your product and engineering teams from content creation duties, letting them focus on what they do best while your content pipeline keeps running.

How to Prepare Before You Start Hiring

Defining Your Needs Before You Hire

Successful blogging depends on defining objectives like brand trust and sales before a single word gets written. Rushing to post a job description without internal alignment leads to mismatched candidates and wasted cycles. Define content goals and strategy before starting a blog or expanding your content team.

Project Scope and Requirements

Start by documenting the specific types of content you need. Are you hiring for weekly blog articles, whitepapers, case studies, tutorials, or a mix? Determine the niche or subject matter (cloud infrastructure, AI, compliance, fintech), the expected volume (posts per month), target word counts, and research demands. Clarifying scope upfront helps you evaluate whether you need a junior writer for formulaic content like listicles or a senior specialist for complex, interview driven pieces.

Team Structure and Engagement Model

Decide who the writer will report to. Will they sit under marketing, product, or engineering? What support will they have: access to editors, an SEO strategist, design resources, subject matter experts? Define how feedback flows and who has final approval. This clarity directly impacts the quality and speed of content production.

In House vs. Dedicated Remote Talent

Weigh the tradeoffs honestly. An in house hire provides deep alignment and long term ownership but carries higher overhead (salary, benefits, tools, training). Blog writer salaries range from $48,000 to $60,000 per year for generalists, while the median salary for a blogger in the U.S. is $75,000, with most bloggers earning between $56,000 and $101,000 annually. SEO blog writers earn between $56,000 and $101,000 annually, reflecting the high demand for this skill set. Competitive compensation attracts higher quality writing talent, so budget accordingly.

Freelance writers offer flexibility and lower commitment, but variable quality and inconsistent availability are real risks. A dedicated remote content writer, engaged through a vetted talent network, can offer senior level quality with more flexibility than a full time hire and more reliability than freelancing through generic platforms.

Writing a Job Description That Attracts the Right Blog Writer

A strong title captures attention in job descriptions, but the description itself must do the heavy lifting. Establish clear job descriptions to attract suitable blog writers who match your domain, culture, and output expectations. Every standout job description needs four elements:

  • Mission: State why the role exists. For example: "Lead thought leadership content for our AI compliance platform" or "Build a content engine that drives inbound leads for our data engineering product." This filters out generalists and attracts writers who care about impact.
  • Stack and Context: Specify what technology, domains, or regulatory frameworks the writer needs familiarity with (AWS, HIPAA, SOC2, cybersecurity, etc.). Mention the tools they will use: CMS, SEO platforms, analytics, internal knowledge bases.
  • Team Structure: Describe who they collaborate with (product, engineering, marketing, compliance), who reviews their work, and how feedback loops operate. Skilled blog writers are in high demand due to content marketing growth, so showing a well structured team environment is a differentiator.
  • Growth and Impact: Define what success looks like with concrete metrics: organic traffic growth, lead generation targets, engagement benchmarks. Also mention professional development opportunities such as contributing to whitepapers, speaking opportunities, or expanding into content strategy.
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How to Source, Vet, and Onboard a Blog Writer

A Structured Vetting Process That Goes Beyond Resumes

Hiring writers effectively requires clear expectations and structured evaluation at every step, not just reviewing a portfolio and hoping for the best.

Sourcing Strategy

Use multiple channels to build a strong candidate pipeline. LinkedIn, niche writing communities, technical blogs, and referrals from industry contacts are all valuable. Look for writers showcasing their work in niche communities or publishing articles in your specific domain. There are over 1,000 freelance blogger jobs available in the U.S. at any given time, which means the talent pool is large but quality varies enormously. Specialized talent delivery services and vetted networks dramatically reduce the noise compared to generic platforms.

Vetting Beyond the Resume

Review writing samples for relevant experience and engagement style. Evaluate candidate portfolios for engagement and readability rather than just topic coverage. Look for subject matter expertise in candidates to ensure quality writing in your specific industry.

Then go deeper:

  • Use paid test assignments to assess writer capabilities. Give finalists a real world task aligned with your audience, niche, and brand voice. Use a standardized test assignment to evaluate finalists fairly across candidates, scoring on research depth, clarity, structure, SEO fluency, originality, and adherence to the brief.
  • Conduct a problem solving interview. Ask the candidate to explain a complex topic to a non technical audience, or walk through how they would approach article writing for a specific buyer persona. Assess communication and reliability during the hiring process, not just writing polish.
  • Check for content performance awareness. Senior blog writers should be able to discuss how their past work impacted traffic, leads, or engagement. Vague references to "wrote a lot of SaaS content" without measurable outcomes are a red flag.
  • Culture and brand fit. Evaluate alignment with your editorial standards, fact checking rigor, and compliance sensitivity. Focus on original and helpful content rather than keyword stuffed articles when reviewing their past work.

Getting Your New Writer Productive Fast: The 30/60/90 Day Plan

A structured onboarding plan reduces friction and shortens time to value. Here is a practical framework:

First 30 days: Immerse the writer in your products, services, customer pain points, industry landscape, and any compliance or regulatory constraints. Provide your content style guide, tone of voice documentation, and brand resources. Introduce them to key stakeholders, product managers, designers, and editors. Assign a small, well defined project with clear feedback loops.

Days 30 to 60: Scale up to more significant content pieces. Bring the writer into content calendar planning. Set concrete performance goals: draft volume, traffic targets, engagement benchmarks. Begin integrating analytics reporting so the writer can see how their articles perform with real readers.

Days 60 to 90: The writer should be handling full content lifecycles from ideation to publish, contributing to strategy through topic suggestions and content gap analysis, and working autonomously with minimal oversight. Schedule a formal review to assess fit, discuss retention (compensation reviews, scope expansion), and plan growth.

Making the Right Hiring Decision

Warning Signs and Strong Signals When Evaluating a Blog Writer

Red flags to watch for:

  • Cannot provide relevant technical or industry specific writing samples when asked
  • Describes past work in vague terms with no connection to measurable business outcomes
  • Shows weak research habits or superficial understanding of SEO best practices
  • Becomes defensive under editorial feedback or struggles to collaborate with a team

Green flags that signal senior level capability:

  • Portfolio demonstrates measurable impact, such as organic traffic growth or lead generation results tied to their content
  • Shows deep niche expertise and can discuss your industry with authority and relevant insights
  • Writing is clear, well structured, and consistent in voice, requiring minimal editing
  • Proactively contributes ideas for content strategy, content refreshes, and optimization

Freelance blog writer rates vary based on assignment complexity, so weigh cost against demonstrated quality. Junior blog writers are best for formulaic content like listicles, but if you need thought leadership, in depth guides, or content that drives business results, invest in senior talent.

Why SoftDoes Is the Partner You Want for This Hire

Finding, vetting, and managing blog writers on your own is time consuming and risky. SoftDoes removes that friction.

As a North America focused talent delivery partner serving clients across the US and Canada, SoftDoes provides access to carefully vetted senior content and writing talent through a team delivery model, not isolated freelancers. Every engagement includes replacement and scaling guarantees, so you are never stuck with an underperforming writer or scrambling to fill a gap.

What makes this different from posting on a freelance platform or running your own hiring process:

  • Vetted, senior talent with proven experience in B2B content creation, SEO, and technical domains
  • Pod based delivery that provides consistency, editorial backup, and built in quality control across every blog post and article
  • Flexible engagement models from a single dedicated specialist to a full content pod (writer, editor, SEO support, and subject matter expert access)
  • Enterprise readiness with compliance awareness, regulatory sensitivity, and alignment with product and engineering roadmaps baked in

If you need a content writer or a freelance blogger who can handle the complexity of your industry without the management overhead, SoftDoes delivers.

Ready to Hire a Blog Writer?

Stop wasting cycles on generic platforms and unvetted freelance writers. If you want a senior blog writer who ramps fast, publishes valuable content that ranks, and directly supports your content marketing and lead generation goals, the next step is simple.

Schedule a discovery call with SoftDoes to define your content needs, review pre vetted candidates, and start publishing within weeks, not months.

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