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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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What our Content Strategists 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 Content Strategist

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 Content Strategist through SoftDoes?

With our pre vetted talent pipelines and specialized sourcing network, typical hiring timelines for senior content strategist roles fall between four and eight weeks. That window covers sourcing, technical evaluation, stakeholder interviews, offer negotiation, and initial ramp up. For highly technical verticals such as AI, ML, or regulated industries, expect the process to lean toward the upper end due to additional required stakeholder panels involving product, legal, and compliance leadership. In many cases, our initial candidate match happens in under 24 hours, dramatically compressing the front end of the process compared to traditional recruitment.

What does it cost to hire a Content Strategist?

Cost varies based on region, seniority, technical depth, and sector focus. In the U.S. market, senior content strategist base salaries typically range from $60,000 to $80,000 in many markets, though highly technical or AI focused roles in top metros can command total compensation (including bonuses or equity) well above $150,000. SoftDoes pricing reflects the premium of verified deep domain expertise, engineering led oversight, and our replacement guarantee. We structure engagements to deliver measurable return relative to investment, not just fill a seat.

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

SoftDoes offers multiple models designed to match your organizational needs and growth stage. A Dedicated Hire places a full time embedded content strategist directly into your team. The Pod Model pairs a strategist with content operations support, writers, or AI tooling as a mini team focused on your objectives. Contract or Fractional engagements cover shorter term or project based needs such as a content strategy audit, roadmap development, or seasonal campaign execution. Each model is built to flex as your requirements evolve.

How do you ensure time zone alignment with a Content Strategist?

We match talent with meaningful overlap in working hours and ensure core cross functional meetings fall within shared windows. For US and Canada based enterprises, SoftDoes draws from regional remote talent pools specifically to minimize large timezone gaps. Communication protocols including daily standups, asynchronous documentation, and structured reporting cadences are built into every engagement from day one, ensuring nothing falls through the cracks regardless of geographic distribution.

How does SoftDoes technically vet a Content Strategist?

Our vetting process is multi stage and designed to surface genuine senior expertise rather than polished resumes. We review portfolios with a focus on decision stage deliverables and strategic outcomes, not just writing samples. Candidates complete live problem solving exercises using real product or sales enablement scenarios. We conduct architecture and systems design reviews covering CMS structure, taxonomy, content reuse, AI workflow integration, and compliance constraints. Cross functional interview panels that include engineering, product, UX, and data stakeholders evaluate communication and strategic fit. Reference checks are focused specifically on outcomes, tradeoffs, and the candidate's ability to manage stakeholders under pressure.

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

SoftDoes offers guarantee terms that protect your investment. If within the probation period (typically the first 30 to 90 days) the placement is not delivering expected outcomes or cultural fit, we provide a replacement or adjustment at no extra charge. Scaling up is straightforward: you can add writers, AI tooling, localization support, or convert a dedicated role into a full pod. Scaling down is equally simple, with the ability to transition to fractional or project based work as your needs shift. The goal is to eliminate the rigidity and risk that make traditional hiring so costly for companies operating at speed.

The Executive Guide to Hiring a Content Strategist

A single bad content strategist hire can quietly drain six figures in wasted budget, stalled pipeline, and engineering time lost to rework. The right placement, on the other hand, can unlock millions in pipeline value and compress your sales cycle in a single quarter. This playbook gives you a field tested strategy to define, vet, and onboard top tier content strategist talent, built from the same frameworks we use to deploy senior technical talent across enterprise software, AI, and data organizations.

What Actually Makes This Hire High Stakes

What Separates a Senior Content Strategist from an Order Taker

Most executives underestimate the gap between a content strategist who owns outcomes and one who simply fills a content calendar. The distinction is not about writing quality. It is about strategic thinking, system design, and the ability to negotiate business tradeoffs that directly affect revenue. Here is what a senior content marketing specialist actually does on a daily basis:

  • Owns content architecture and systems, not just individual assets. They design content clusters, decision stage funnels, taxonomy models, and governance frameworks. Strategic planning involves evaluating assets and mapping customer journeys, not just publishing blog posts on a schedule.
  • Builds and maintains scalable workflows. From multilingual content models to AI assisted production pipelines, a senior strategist establishes processes that let a 42 person team produce 8x more content while cutting cost per piece by 74%. Scalability involves building a sustainable framework that grows with a business.
  • Translates data into executive decisions. Data literacy allows strategists to interpret performance metrics effectively. A data driven mindset relies on metrics and KPIs to shape decisions across SEO, user behavior, and pipeline attribution. Analytics fluency appears in roughly 40% of senior content strategist job postings for a reason.
  • Operates cross functionally with engineering, product, UX, legal, and sales. Cross functional collaboration is essential for content strategists working in technical environments. They serve as the translator between SME technical depth and target audience narrative, whether that means writing API documentation alongside engineers or aligning product messaging with compliance requirements.
  • Manages content debt and decommissions what does not work. Much like an architect managing technical debt, a senior strategist audits existing content, eliminates redundancy, and prevents the sprawl that fragments your brand voice across channels. Content auditing maximizes resource efficiency and tracks return on investment.
  • Connects content performance to measurable outcomes. Connecting every piece of content to pipeline influence, customer retention, or lead generation is their operating mandate. A good content strategist connects audience insights to business growth, not vanity metrics.

Current hiring guidance emphasizes strategic thinking rather than just writing ability. Demand for senior ownership roles (Head, VP, Director level) has grown dramatically, while mid level execution only postings have dropped. If your job description reads like a list of writing tasks, you are fishing in the wrong talent pool.

The Financial and Operational Case You Cannot Ignore

Hiring a content strategist requires evaluating their foundational expertise, but equally important is understanding what the role is worth to your bottom line. Here are the ROI vectors that matter most to a C level audience:

  • Pipeline acceleration and sales influence. One enterprise B2B team reorganized just 20% of content output toward decision stage pieces (pricing comparisons, ROI calculators, procurement business cases) and generated $1.4M in pipeline within 90 days while reversing a declining win rate. Content strategists help businesses achieve measurable growth through targeted content that moves buyers, not just readers.
  • Enterprise deal velocity. A cloud cost optimization startup used product led content (ROI calculators and internal business cases) to close a $125K enterprise deal in five months. Strategic content can differentiate startups in saturated markets by directly addressing buyer bottom line concerns.
  • Cost efficiency at scale. Effective content production requires establishing workflows and clear governance. Teams that deploy AI assisted content workflows alongside senior strategist oversight have achieved 8x output scaling with 74% cost reduction per asset, freeing budget for distribution and demand generation.
  • Risk mitigation and debt reduction. A senior content strategist prevents costly reworks, compliance mishaps, and fragmented messaging across departments. A unified brand voice prevents fragmented communication across channels. In regulated industries, this governance layer is not optional; it is an essential part of measurable return.

Content strategists can increase organic traffic by 4x, improve email subscriber rates by 20x, and drive reply rates above 30% in outreach. These are not theoretical projections. They are operational results from companies that treated this hire as a strategic investment rather than a marketing line item.

Before You Post the Job

Auditing Your Technical Constraints First

Before you start sourcing candidates, you need to understand your own constraints. Skipping this step is the single most common reason content strategist hires fail within six months.

Your Content Architecture and Existing Debt

What problem must this hire solve first? Identify your content infrastructure limitations. Is your CMS poorly integrated across multiple brands or sites? Do you have overlapping content with inconsistent taxonomy? Are there critical gaps in decision stage content, localization, or on page SEO foundations? Technical fluency in Content Management Systems is crucial for content operations, and the strategist you hire must walk into a clear picture of what is broken. Improving discoverability involves skills in SEO and content structure that your current team may lack.

Where This Role Sits and How Much Autonomy It Gets

Will this content strategist be embedded in product, sit within marketing, operate as part of a shared services center of excellence, or lead a dedicated pod? The answer shapes the profile you need. A strategist embedded in engineering needs different skills than one running a content marketing function. Project management skills ensure teams meet shifting deadlines and secure stakeholder buy in, but only if the role carries real decision making authority. Define whether they control budget, can change workflows, hire freelancers, or influence product positioning.

In House FTE Friction vs. Vetted Remote Talent

In house hires cost more (salary, benefits, overhead) and take longer to place. Remote or dedicated talent networks often provide faster deployment, access to AI, ML, and enterprise content strategy expertise not available locally, and the flexibility to scale up or down as your needs change. For companies across the US and Canada, this model increasingly outperforms traditional recruitment for senior strategic roles.

Building the Profile That Actually Attracts the Right Candidate

Stop writing generic job specs. Engineer the ideal profile around four essential components:

  • Core outcome and mission. What is the business outcome you need? More pipeline? Better enterprise deal velocity? Cleaner technical documentation? Defining this frames every evaluation conversation. Content strategists create clear goals tied to business aims, and your job description should reflect the same rigor.
  • Technical stack reality. Be explicit. List the CMS platforms, SEO tools, analytics systems, AI tools, and integrations the role will touch. SEO knowledge involves understanding keyword research and optimization best practices, and you need someone who can operate your specific stack, not just talk about it. SEO expertise is crucial for measuring content performance in your environment.
  • Decision making authority. How much influence does this strategist have over positioning, UX content design, product messaging, and internal enablement content? Stakeholder management is vital for dealing with various team opinions, and ambiguity here is where misalignment starts.
  • Growth trajectory and scope. Will this role scale into people leadership? Will they build content operations and governance across brands? Is there a horizon into AI content systems or multilingual scaling? Clarify whether the path leads to Director or Head level, or remains an individual contributor track. A content strategist may lead a team or create content themselves, depending on where you need them.
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How to Vet and Onboard Without Wasting Months

A Vetting Framework That Actually Surfaces Senior Talent

The Sourcing Problem Most Executives Overlook

Traditional recruiters rarely screen for deep technical or AI content strategy skills. They optimize for speed and volume, not for the cross functional expertise a senior content strategist must bring. Specialized talent networks that pre vet for enterprise software, data, and AI environments dramatically outperform generalist agencies for these roles. Average time to match a content strategist through a specialized network is under 24 hours, compared to weeks or months through conventional channels. A freelance content strategist or content manager sourced through unvetted channels may check surface level boxes but lack the strategic depth your business demands.

The Technical Evaluation Pipeline

Design a multi stage process that tests what actually matters:

  • Live problem solving over trivia. Present real scenarios from your product or domain. "Here is our buyer journey. What content strategy addresses the decision stage?" or "Here is our CMS. What taxonomy or governance model would you propose?" In depth audience research ensures content matches user intent and behavior, and you want to see this thinking in real time.
  • Architecture review. Have candidates evaluate your content systems: CMS structure, metadata, internal content migration paths, reuse vs. duplication decisions, and content debt. Content strategists blend storytelling, SEO, and audience research, and this exercise reveals whether they can operate at the systems level.
  • Communication under pressure. A short presentation or whiteboard session with a cross functional panel (product, UX, engineering, digital marketing) shows how they negotiate tradeoffs, handle ambiguity, and articulate risk. Effective communication is non negotiable. Strong editorial skills are necessary to maintain quality standards under real world constraints.
  • Cross functional culture fit. Ensure the candidate has experience working alongside engineers, product managers, and compliance or legal teams, not just within a siloed marketing function. Content strategists must excel in audience and persona development while navigating the priorities of multiple stakeholders. They conduct user research to identify what audiences want to read, and they translate that research into actionable strategy.

Reviewing a portfolio helps assess measurable results achieved in past projects. Candidates should provide measurable results from previous work experiences, not just polished writing samples.

The First 90 Days: From New Hire to Revenue Impact

A no risk trial period allows clients to evaluate content strategists, but even without one, structuring the first 90 days with clear milestones is crucial to ensuring this hire delivers.

  • Days 1 through 30: Audit and orient. Content inventory audit, analytics baseline, stakeholder mapping. Identify three to five urgent fixes: decision stage content gaps, messaging misalignments, SEO foundation issues. They should determine content needs based on business goals and audience research. Define project deliverables clearly to set expectations. Regular check ins help manage progress with content strategists.
  • Days 31 through 60: First strategic deliverable. Content roadmap, comparison content pieces, governance or taxonomy framework, style guide. Begin cross functional integration with legal, UX, product, and AI teams. They ensure consistent messaging across departments. Content strategists should have strong writing and editing skills that are visible in these early deliverables. SEO strategies enhance organic visibility and long term traffic, and this is where the foundation is laid.
  • Days 61 through 90: Launching and proving ROI. New content in pipeline and actively used in sales conversations or internal decisions. Measurable improvements in process efficiency: fewer rewrites, clearer roles, reduced friction. Content strategists plan and manage content initiatives that align with the long term narrative and business goals. Core competencies including audience research and SEO strategy should be fully operational by this point.

The Decision Framework

Interview Signals That Separate Contenders from Pretenders

Knowing the right interview questions to ask matters less than knowing what signals to watch for.

Red Flags:

  • Tool obsession over problem solving. If the candidate leads with platforms and writing tools rather than why content matters for buyer motion, pipeline, or customer retention, they are an executor, not a strategist. Industry experience relates to familiarity with specific niches and product types, and a tool centric candidate often lacks this depth.
  • Inability to discuss past failures or tradeoffs. A senior strategist should articulate what they tried, what failed, and what they decommissioned. Silence here signals someone who has never owned outcomes.
  • Exclusively execution centric background. Strong writing and editing skills are necessary, but if there is no involvement in strategy, business success metrics, cross functional work, or content systems, the fit is wrong. A content marketer or social media manager background alone does not prepare someone for this role.
  • Resistance to data and audience feedback. Dismissiveness of analytics, keyword research, or inability to connect content to sales pipeline or customer behavior is disqualifying. SEO knowledge helps strategists improve search engine visibility, and a candidate who avoids this conversation cannot deliver.

Green Flags:

  • Pragmatic tradeoff analysis. "We reduced output volume but increased pipeline influence." "We decommissioned overlapping topics even though they ranked." This is the language of someone who manages content like an engineering leader manages technical debt.
  • Focus on data and system integrity. They speak knowledgeably about content performance, on page SEO, internal search discovery, and technical constraints. They create content strategies that attract and convert audiences with measurable results.
  • Proactive risk identification. They spot where content or messaging carries compliance risk, brand consistency risk, or misalignment risk before it becomes a problem. This builds trust with stakeholders and protects revenue.
  • Strong stories from technical contexts. Working with developers, writing API documentation, integrating content with AI systems, or operating in regulated industries. This is where creativity meets operational reality.

Why SoftDoes Is the Partner Built for This Hire

SoftDoes is a North America focused custom software engineering and data and AI partner serving clients across the US and Canada. When it comes to deploying senior content strategists, we operate differently from traditional staffing firms:

  • Battle tested senior talent. Our services deliver professionals already working in enterprise software, AI, ML, data, and cloud systems. These are not generalist freelancers or junior content creators.
  • Engineering led delivery oversight. Every placement is structured with the same rigor we apply to software delivery. Content is architected, reviewed, and integrated, not tossed over a wall.
  • Rapid deployment capability. Our vetted talent network compresses hiring timelines from months to weeks.
  • Flexibility to scale. One strategist can expand into a full content operations pod with writers, AI tooling, and localization support. Scale down just as easily when the project phase shifts.
  • Zero risk replacement guarantee. If the strategic fit is not right, you get a replacement. No additional cost. No wasted onboarding cycles.

Take the Next Step

Every week without the right content strategist in place is pipeline left on the table, digital transformation initiatives stalled, and competitors capturing the audiences you should own. If you are ready to stop absorbing the cost of bad hires and start deploying senior content strategy talent that delivers, book a technical discovery session with our architects. We will audit your constraints, define the ideal profile, and match you with battle tested professionals who can deliver from day one. You can also explore our network of vetted content and copywriting professionals to see the caliber of talent we deploy.

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