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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 Seo Managers can build

Not sure which engagement model fits?

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

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RIGHT expert, FASTER

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How to hire a Seo Manager

01
BROWSE PROFILESRIGHT NOW

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

02
Interview1-3 DAYS

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

03
OnboardWEEK ONE

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

US VS. THE DATABASE

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

Frequently Asked Questions

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

How long does it take to hire an Seo Manager through SoftDoes?

Sourcing, vetting, and interviewing typically take four to six weeks for senior talent once your scope and requirements are clearly defined. If the role demands niche experience, such as healthcare, international seo, or regulated industry expertise, the process may extend to around eight weeks. SoftDoes maintains a pre-vetted candidate pipeline of experienced seo professionals, which significantly reduces lag compared to starting a search from scratch. Our replacement guarantee also means you are not back to square one if the initial match does not work out.

What does it cost to hire an Seo Manager?

The average salary for SEO experts in the US is $73,000 to $134,000, depending on experience, industry, and region. Metro areas with higher cost of living tend to push salaries toward the upper range. Beyond base compensation, factor in engagement fees (if working through a delivery partner or agency), seo tools licensing, and any content or technical remediation budget needed to support the role. SoftDoes offers cost flexibility through fully remote options and scalable pod models, so you can match investment to your growth stage without overcommitting.

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

SoftDoes supports multiple engagement models. You can bring on a single dedicated hire for focused SEO leadership. You can deploy a pod that pairs an SEO manager with supporting specialists in content, technical seo, and outreach for full lifecycle capability. Or you can engage on a project or contract basis for specific needs like a comprehensive seo audit, a technical migration, or a roadmap buildout. Retainer and full time arrangements are both available through our [talent delivery model](/talent/hire-advertising-managers), designed to flex as your digital marketing strategy evolves.

How do you ensure time zone alignment with an Seo Manager?

SoftDoes sources talent in matching or only slightly offset time zones to ensure responsive collaboration with US and Canada based teams. We require regular sync meetings, structured workflows with clearly documented dependencies (content creation, engineering fixes, reporting cadences), and asynchronous communication protocols so nothing stalls between sessions. The goal is seamless integration with your existing team rhythm, not a remote resource you have to chase for updates.

How does SoftDoes technically vet an Seo Manager?

Our vetting process covers multiple stages. We begin with a resume review focused on relevant domain experience, tenure, and scale of past work. Candidates then complete a live assignment or work sample covering technical audits, content strategy, and prioritization. This is followed by structured interviews assessing technical seo knowledge, analytical proficiency, content and keyword strategy depth, stakeholder management ability, and behavioral fit. Each candidate is scored independently across dimensions. We conduct reference checks with direct managers and collaborators, and we assess tool fluency across platforms like Google Analytics, SEMrush, Google Search Console, and site audit tools. Effective SEO managers must be proficient in technical SEO tools, and our process verifies that proficiency under real conditions.

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

SoftDoes provides replacement guarantees built into every engagement. If a hire is not the right fit, we initiate a replacement cycle immediately rather than leaving you stranded. We also support flexible scaling within pod models: you can add specialists, swap roles, or reduce team size based on agreed key performance indicators or shifts in business focus. Regular feedback loops and built in review cycles ensure mismatches are caught early, and proactive management keeps your organic search program on track regardless of personnel changes.

How to Hire an Seo Manager

Most companies burn weeks chasing SEO candidates who talk a big game about search rankings but deliver nothing measurable. The result: wasted budget, stalled organic growth, and a team still waiting for someone who can connect search engine optimization to actual revenue. This guide walks you through exactly what an SEO manager does, how to define the role for your business, how to vet candidates rigorously, and how to onboard for fast impact so you can hire SEO managers who move the needle from day one.

What an Seo Manager Actually Does and Why the Role Is Mission Critical

The Expanding Scope of an Seo Manager's Daily Work

An SEO manager owns the full organic search strategy for your organization. Unlike a narrow SEO specialist focused on one lever, this person bridges technical execution, content strategy, analytics, and cross-functional coordination. SEO managers develop and execute strategies to improve search rankings, and they are accountable for traffic, visibility, and revenue outcomes.

Here is what a strong SEO manager handles on a daily and weekly basis:

  • Technical SEO audits and remediation. Evaluating crawlability, indexation, site architecture, core web vitals, structured data, canonicalization, and JavaScript rendering issues. This requires fluency with tools like Screaming Frog, Google Search Console, and Lighthouse. Technical SEO includes understanding site architecture and crawlability at a level that lets them diagnose problems and brief engineering on fixes.
  • Keyword research and intent mapping. Identifying high value terms for content strategies, mapping search queries (informational, transactional, commercial) to pages, avoiding keyword cannibalization, and aligning content briefs to user intent rather than raw volume. This is where keyword optimization and serp analysis translate into meaningful page seo decisions.
  • Content strategy and lifecycle management. Developing editorial calendars, refreshing or pruning underperforming content, optimizing existing pages for conversions, and collaborating with writers. SEO managers guide content teams on keyword targeting and on page optimization to keep organic search traffic growing.
  • Link building and authority growth. Defining an authority link building strategy, assessing link quality and relevance, managing outreach, partnerships, and digital pr campaigns that improve domain authority and search engine rankings.
  • Analytics, reporting, and performance tracking. Setting up dashboards with key performance indicators such as organic traffic, conversion rate optimization metrics, and keyword rankings using analytics tools like Google Analytics and SEMrush. SEO managers analyze traffic trends and prepare performance reports that tie search visibility to business outcomes.
  • Cross-functional coordination. Working with product, engineering, UX, and marketing teams to implement technical fixes, content improvements, and on page seo changes. Effective communication is vital for collaboration with cross-functional teams, and an experienced SEO manager translates technical concepts into language stakeholders understand.

Why the Right Hire Directly Impacts Your Bottom Line

Hiring the right SEO manager is not just about better rankings. It is a strategic investment that compounds over time. SEO enhances online visibility for businesses and drives organic website traffic significantly, but only when led by someone who connects organic traffic growth to business outcomes.

  • Faster revenue growth and lower acquisition costs. A well run SEO program reduces dependency on paid channels like Google Ads by increasing organic search traffic. Effective SEO strategies improve lead generation, helping you generate qualified leads without scaling ad spend proportionally.
  • Scalable, reliable infrastructure. Strong technical seo reduces site health debt, maintains site speed and core web vitals, and prevents costly downtime. This means fewer emergency fixes and more predictable performance.
  • Competitive resilience. Search algorithms and competitor tactics shift constantly. Having a dedicated SEO expert monitoring trends, algorithm updates, and competitor moves protects your company's online visibility and prevents traffic cliffs.
  • Real alignment between SEO and business goals. Effective SEO managers set measurable objectives aligned with business goals, interpreting traffic in terms of revenue and leads rather than vanity metrics. Companies can capture market share through better SEO rankings when the person leading organic search thinks like a business operator.

How to Prepare Before You Start Hiring

Clarifying What You Need Before Opening the Role

Skipping internal alignment is the fastest way to waste a hiring cycle. Before you begin sourcing SEO candidates, define three things clearly.

Project Scope and Requirements

Decide whether you need someone to lead a technical overhaul (site migrations, site architecture redesign), focus primarily on content strategy and keyword strategy, strengthen off page seo and link building, or manage local seo, international seo, or e commerce seo. Identify whether your domain involves regulated content (healthcare, finance, YMYL) or requires expertise in programmatic seo. Be explicit about whether the role is hands on or strategic. Hiring an SEO manager requires balancing technical expertise and business acumen, and your scope definition determines which end of that spectrum matters more.

Team Structure and Engagement Model

Clarify where the SEO manager sits in your org chart. Do they report to Marketing, Product, Growth, or the CTO? Will they manage an seo team of specialists (content, technical, link building), or collaborate with external agencies? Identify internal collaborators across engineering, UX, and product. Establish expectations for decision rights, execution capacity, and cross department interaction. Prioritization and project management skills are necessary for handling SEO tasks, so the reporting structure must support that.

In House vs. Dedicated Remote Talent

In-house SEO specialists are employed directly by organizations and offer deep integration, but your local talent pool may be thin. Remote SEO specialists allow access to a broader talent market, which is especially valuable for niche skill sets like generative engine optimization or international seo. Offshore SEO specialists can provide lower regional labor costs, though time zone alignment and communication overhead matter. Freelance SEO experts are hired for specific projects with defined deliverables, while dedicated SEO consultants offer ongoing support without permanent employment. Each model has tradeoffs in cost, control, and speed.

Writing a Job Description That Attracts Top Seo Candidates

A generic job posting attracts generic applicants. Four elements separate a standout description from noise:

  • Mission. State clearly why the role exists: what problem it solves, whose priorities it advances (growth, organic traffic, site health, compliance). This orients experienced seo professionals toward impact, not checkboxes.
  • Stack and context. Specify your technology environment: CMS type (headless, static, SPA), site size, localization needs, and which seo tools you use (Ahrefs, SEMrush, search console, Google Analytics). Note industry context, because regulated, international, or e commerce seo contexts heavily influence candidate fit.
  • Team structure. Who they report to, whom they manage, cross-functional partners, and whether they are building a team or operating as a solo contributor. This clarity helps you attract the right seniority level.
  • Growth and impact. Define what success looks like in 6 to 12 months with measurable performance metrics: organic traffic growth percentage, conversion lift, core web vitals improvements, keyword rankings gains. SEO candidates should demonstrate a strong portfolio with measurable results, so showing them you measure outcomes the same way signals a strong match.
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Finding, Vetting, and Onboarding the Right Seo Manager

A Rigorous Hiring and Vetting Process

Sourcing Strategy

Standard job boards generate volume but rarely surface senior talent. Compare multiple sourcing channels: outbound recruiting, senior talent networks, referrals, and inbound applications. For scale ups and enterprise companies, using a vetted talent network gives reliability and speed with pre-qualified senior candidates. Remote talent hubs widen the pool significantly. Prioritize candidates with experience in comparable domain or technical complexity, such as high page count sites, regulated content, or international markets.

Vetting Beyond the Resume

Titles and tool lists on a resume tell you almost nothing about an SEO manager's ability to drive seo success. Use a multi-stage evaluation process:

  • Technical screening. Assess depth across technical seo, on page seo, off page seo, and analytics. An SEO manager should have solid technical SEO knowledge including redirects and structured data. Analytical proficiency involves skills in tools like Google Analytics and Search Console. Strong SEO professionals conduct comprehensive site audits for technical issues, and your screening should verify this.
  • Practical work sample. Give candidates a real or fictional domain and ask them to diagnose technical and content issues, propose prioritized fixes across short and long term horizons, and present a keyword strategy or content strategy. This reveals how they think, not just what they know. Candidates should provide evidence of past SEO results during interviews, and a live exercise tests whether those claims hold up.
  • Strategic and analytical interview. Test reasoning: how they balance quick wins versus long term seo initiatives, how they respond to algorithm updates, how they measure the impact of search marketing efforts on revenue. SEO professionals should demonstrate curiosity and adaptability to changing search algorithms.
  • Culture and collaboration fit. Quality SEO candidates demonstrate strong communication and collaboration skills. Probe for behavioral stories about working with engineering, content, product, and UX teams. Structured interviews with independent scoring improve the hiring process for SEO managers by removing bias and ensuring consistency.
  • References. Ask former managers and peers for specific examples of organic traffic improvements, cross-functional impact, and how the candidate handled setbacks.

Ramping Up Fast With a 30/60/90 Day Onboarding Plan

Even the best hire stalls without a clear onboarding structure. Here is a practical framework:

  • First 30 days. The new SEO manager gets familiar with existing site architecture, content workflows, analytics setup, seo tools, and performance history. They review any existing seo audit and content backlog, meet engineering, product, content, and UX teams, and identify quick wins that demonstrate early value.
  • By 60 days. They begin delivering tangible results: technical fixes, on page optimization improvements, reporting dashboards tied to key performance indicators. They establish or refine the SEO roadmap, align performance metrics with business goals, and ensure all analytics tools (Google Analytics, search console) are configured correctly.
  • By 90 days. Full ownership of SEO strategy is in place. The manager works seamlessly with cross-functional teams, has quantifiable wins visible to leadership, and has identified long term structural improvements like scaling content, optimizing websites for conversion rate optimization, or expanding into new search channels. Feedback loops with stakeholders are running smoothly.

Retention depends on continuous professional development (the SEO landscape changes constantly), performance recognition, visibility of impact in business metrics, autonomy, and the ability to scale their seo team as results warrant.

Making the Decision That Protects Your Investment

Warning Signs and Winning Signals During the Interview Process

Red flags to watch for:

  • Describing only audit tool outputs or "things they fixed" without business context, impact data, or baselines. Vague claims like "improved search rankings" with no specifics are a disqualifying signal.
  • Over specialized profiles: excellent at content but zero ability to coordinate with engineering on technical seo, or technically brilliant but no experience with content strategy, keyword research, or digital marketing strategy.
  • Poor prioritization: focusing on low impact tasks or vanity metrics instead of business level key performance indicators. If they cannot explain tradeoffs between cost, effort, and reward, they will waste budget.
  • Resistance to change or lack of awareness about recent algorithm shifts. An SEO manager dismissive of evolving seo tactics or unwilling to work within product constraints will become a bottleneck.

Green flags that signal a strong hire:

  • A data driven mindset with clear past examples of leveraging analytics to forecast outcomes, measure conversions tied to organic traffic, and demonstrate business impact. SEO experts analyze traffic data to shape effective strategies, and the best ones frame everything in revenue terms.
  • Technical fluency: comfortable speaking developer language, diagnosing technical seo issues, understanding site performance, and working with structured data, core web vitals, and site speed optimization.
  • Strategic thinking combined with execution capability: can map a long term vision for increasing organic traffic and also identify immediate quick wins. Strong strategic thinking is essential for an SEO manager's success, and you want someone who has both.
  • Cross-functional collaboration with evidence: proven track record of aligning cross-functional teams towards search driven goals, explaining technical concepts to non-technical stakeholders, and building consensus around seo initiatives.

How SoftDoes Gives You a Hiring Advantage

SoftDoes operates as a North America focused talent delivery partner serving clients across the US and Canada. When you work with our services team, you get access to carefully vetted senior SEO managers, not isolated freelancers or seo consultants who disappear after an audit. Our delivery model includes flexible engagement options from a single specialist to a full pod (SEO manager plus supporting technical, content, and outreach specialists). Every candidate goes through rigorous vetting: work samples, technical screening, stakeholder interviews, and reference checks. We provide replacement and scaling guarantees, strong time zone overlap for US and Canada based teams, and domain experience across regulated industries, e commerce seo, and complex technical environments. Because SoftDoes also delivers software engineering, cloud, and data talent, SEO improvements get implemented fast and reliably, something a standalone seo freelancer or freelance seo expert simply cannot guarantee.

Ready to Hire an Seo Manager?

Stop burning months on hiring cycles that produce mediocre results. Schedule a discovery call with SoftDoes to map your current SEO gaps, define the right role scope, and get matched with pre-vetted senior talent who can drive measurable organic growth. Whether you need a single dedicated hire or a full pod, we will help you move from search to signed contract faster than traditional recruiting allows.

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