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Hire remote Virtual Assistant

Discover developers that match your project requirements.

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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What our Virtual Assistants 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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FIND THE
RIGHT expert, FASTER

Choose a role. Filter by technology.
Discover developers that match your project requirements.

How to hire a Virtual Assistant

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 Virtual Assistant through SoftDoes?

Most placements happen within one to two weeks from the initial consultation. Because our talent pool is pre vetted, we skip the lengthy screening cycle that slows down traditional hiring. After we understand your requirements, we introduce a shortlist of qualified candidates who match your technical needs, communication expectations, and scheduling preferences. Factors like role complexity or the need for niche expertise in specific industries can affect the timeline, but the process is designed to give you immediate access to strong candidates without unnecessary delays.

What does it cost to hire a Virtual Assistant?

Costs vary depending on the engagement model, the level of specialization, and the region. For context, Stealth Agents charges $15 hourly for appointment setting services, Zirtual's lowest priced plan is $599 a month for 12 hours, Prialto offers 55 hours of support for $1,600 a month, Boldly's personal assistants cost $2,600 a month for 40 hours, Belay's marketing assistants are priced at $46 per hour, and WoodBows charges $22.48 an hour for customer support virtual assistants. Many virtual assistant services in the market offer different pricing tiers. SoftDoes works with you to structure an engagement that fits your budget while ensuring you get senior level talent. Hidden costs to plan for include onboarding, software seats, and management time. We help you account for all of these upfront so there are no surprises.

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

SoftDoes offers three primary models. A dedicated hire means a virtual assistant works full time or in a large block of hours exclusively for your company, ideal for ongoing daily operations and executive support. The pod or team model groups a VA with complementary specialists (automation, project management, content creation) for more complex needs. Contract or fractional engagement works well for part time support or one off tasks where you need expertise without a long term commitment. Each model can be adjusted as your business evolves, and you can explore options through our talent offerings to see how we structure specialized roles.

How do you ensure time zone alignment with a Virtual Assistant?

We prioritize candidates with proven experience working in North American time zones. During the matching process, we confirm each candidate's availability during your core business hours so there is meaningful overlap for real time collaboration, calls, and virtual meetings. For teams that operate across multiple time zones, we can structure coverage to provide follow the sun support, ensuring someone is always available to handle urgent tasks or complete work during off hours.

How does SoftDoes technically vet a Virtual Assistant?

Every candidate goes through a multi stage process before being introduced to any client. This starts with an initial screening for experience, tools proficiency, and English fluency. Next comes a structured behavioral interview to assess how they handle ambiguity, collaboration, and remote work challenges. Then we assign a paid trial project that replicates real work: triaging bugs, automating a workflow, drafting documentation, or managing a specific task under realistic conditions. Finally, we conduct reference checks focused on reliability, self management, and responsiveness in asynchronous settings. The result is that you only meet candidates who have already demonstrated they can do the job, not just talk about it.

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

We offer a replacement guarantee. If the VA is not meeting expectations after feedback and a reasonable adjustment period, we replace them at no additional cost. We also handle the transition so your workflows are not disrupted. If your business needs change and you need to scale up, we can add more support quickly from our vetted talent pool. If you need to scale down, the engagement adjusts accordingly. There is no penalty for right sizing your team as your company grows or priorities shift.

How to Hire a Virtual Assistant

Most companies that try to hire a virtual assistant end up cycling through underqualified candidates, burning weeks on onboarding, and watching budget evaporate on rework. The goal is the opposite: a reliable, skilled person who integrates into your workflow and immediately starts moving the needle. This guide walks you through every step of finding, vetting, and onboarding a virtual assistant who actually delivers, then shows you how SoftDoes makes the entire process faster and lower risk.

What a Virtual Assistant Really Does and Why It Matters for Your Business

Beyond Calendar Management: What a Specialist Virtual Assistant Actually Does

The term "virtual assistant" used to mean someone who answered phone calls and handled calendar management. That definition is outdated. Today, a specialist virtual assistant operates at the intersection of administrative support and technical execution, handling various tasks that keep daily operations running while your core team focuses on high leverage work.

Here is what a capable VA handles on a regular basis:

  • Bug triage and issue tracking: Reviewing incoming reports, reproducing issues, assigning tickets to engineers, and updating acceptance criteria in tools like Jira or ClickUp.
  • API integrations and lightweight development tasks: Building simple glue logic, data pipelines, or connecting third party services that don't require senior architecture decisions.
  • Documentation and knowledge base upkeep: Maintaining READMEs, writing internal SOPs, updating wikis, and keeping technical documentation current so nothing gets lost.
  • Email management and customer support: Sorting inboxes, handling client intake, responding to customer inquiries, and routing urgent issues to the right person.
  • Tooling and workflow automation: Using tools like Zapier, GitHub Actions, or scripting to automate repetitive administrative tasks, data entry, and follow ups.
  • Coordination and project management: Serving as a point of contact across product, QA, and design teams, tracking deliverables, scheduling virtual meetings, and ensuring nothing slips.

Virtual assistants allow you to offload scheduling and data entry tasks, but the best ones go further. Virtual assistants can possess specialized skills like social media and bookkeeping. They can manage calendars and schedule appointments, handle email management and respond to customer inquiries, perform data entry tasks and document preparation, assist with social media management and content creation, and conduct research and compile reports. The right hire is tech savvy, highly organized, and responsible enough to operate independently across key areas of your business.

Why Hiring the Right Virtual Assistant Is a Strategic Priority

A virtual assistant is not a luxury hire. For growing companies, it is a strategic lever. Here is what it unlocks:

  • Faster time to market: When your senior engineers stop burning paid time on documentation gaps, environment setup, or one off tasks, they ship features faster. Virtual assistants absorb the work that blocks momentum.
  • Significant cost reduction: Hiring a virtual assistant saves money on office space and benefits. You pay only for the hours or projects you need with virtual assistants, and virtual assistants can save businesses up to 70% in costs compared to equivalent full time hires.
  • Scalable operations without overhead: Companies can scale support easily with virtual assistants during busy periods. Add coverage when demand spikes, scale back when it drops, without carrying fixed headcount.
  • Higher productivity on core work: Virtual assistants can enhance productivity by managing schedules, handling administrative tasks, and clearing blockers. Your best people get to focus on what moves metrics: architecture, security, compliance, and product direction.

Getting Ready Before You Start the Hiring Process

How to Define Your Needs Before Opening the Role

The biggest hiring mistakes happen before a single candidate is interviewed. They happen when you skip the preparation.

Project Scope and Requirements

Identify specific tasks to delegate before choosing a virtual assistant. Audit your internal workflows over two to three weeks. Track every recurring, time consuming, low leverage task your team handles: status follow ups, manual data entry, environment configuration, scheduling, event planning, travel arrangements, and similar work. Build a task inventory that separates what requires domain expertise from what follows defined processes. Consider whether you need a generalist or a specialist virtual assistant. If the work involves social media accounts, marketing efforts, or social media campaigns, you want someone with that specific expertise. If it is closer to executive support, research, or writing, the profile changes.

Team Structure and Engagement Model

Decide who the virtual assistant will report to and how they fit into your team. Will they work as a dedicated hire embedded with one squad, or serve multiple internal teams? Define decision making boundaries clearly. For example, a VA might manage staging configurations but should never deploy to production without review. The engagement model matters: dedicated full time, part time, or on demand for project based work.

In House vs. Dedicated Remote Talent

Hiring in house means full employment with benefits, more control, and significantly higher cost. Dedicated remote talent gives you the feel of an in house person with better economics, but you need to manage time zone alignment and communication norms. Many virtual assistant services and managed talent networks sit in between, offering pre vetted candidates with replacement guarantees, which reduces risk and speeds up the hiring process.

Writing a Job Description That Attracts the Ideal Candidate

Well-defined job descriptions enhance the hiring process for virtual assistants. A vague listing attracts vague applicants. A standout job description for virtual assistant jobs covers four things:

  • Mission and context: Explain what your company does, how the VA's role contributes, and why this hire matters. The ideal candidate wants to know their work has impact, not just that they will complete a specific task list.
  • Stack, tools, and security context: Specify the software, platforms, and technical environment they will work in. Include project management tools, communication channels, version control, and any compliance requirements relevant to specific industries like finance or healthcare.
  • Team structure and reporting: Describe who they will collaborate with (engineers, designers, product leads), whether the role is embedded or cross functional, and what the decision making boundaries look like.
  • Growth and impact: Outline skill development opportunities and how success should be measured by deliverables and quality of work done by VAs. Great candidates want to know their path, not just their pay.
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How to Source, Vet, and Onboard a Virtual Assistant Who Hits the Ground Running

A Rigorous Hiring and Vetting Process

Sourcing Strategy

You have three main paths: self sourced outbound recruiting (job boards, LinkedIn, referrals), freelance platforms, or dedicated VA matching services that provide pre vetted talent. Specialized platforms can be used to source virtual assistants effectively, especially when you need someone with expertise in specific industries or technical stacks. Freelance platforms are used to find qualified virtual assistants for shorter engagements, but they come with more screening overhead. Managed networks cost a premium but deliver a quality floor, replacement assurances, and immediate access to candidates who have already passed rigorous vetting.

For technical or specialist virtual assistant services, consider talent from regions with strong engineering fundamentals. Nearshore talent from Latin America offers better time zone overlap and cultural alignment for North American teams. Talent from other countries like the Philippines or Eastern Europe can be highly effective at different hourly rates. U.S. based virtual assistants typically cost more than overseas ones, so the decision depends on your budget and the complexity of the work.

Vetting Beyond the Resume

Resumes tell you what someone claims. Vetting tells you what they can do. A thorough process includes:

  • Initial screening: A short call to verify experience, tools proficiency, availability overlap, and communication skills. Assess the communication skills of potential virtual assistants early. Poor written communication at this stage is a disqualifying signal.
  • Behavioral interview: Use structured frameworks to understand how candidates have handled ambiguity, collaboration breakdowns, or shifting priorities in past roles.
  • Practical, real world task: Skills and communication should be tested through paid trial projects for VAs. Give them a small deliverable that mirrors actual work: triage sample bugs, automate a process, draft documentation. This is the single best predictor of on the job performance.
  • Reference checks: Confirm reliability, remote discipline, and responsiveness to feedback. Ask specifically about asynchronous work habits and self management.

Evaluate the technical skills required for your virtual assistant tasks. Check if the virtual assistant service offers industry specific expertise. The goal is to find a person who can hit the ground running without hand holding.

Setting Up for Success: The 30/60/90 Day Onboarding Plan

Turnover rates for virtual assistants can be high, and most turnover traces back to poor onboarding. Creating standard operating procedures helps manage virtual assistants efficiently. Here is a proven ramp:

  • Days 1 to 30: Grant tool access, walk through internal systems, pair with a team member, and assign small, low risk tasks. Establish communication norms: when to use Slack vs. email, expected response times, and how to surface blockers. Regular check-ins maintain communication and alignment with virtual assistants. Cultural fit and time zone overlap are critical for effective remote collaboration.
  • Days 31 to 60: Increase ownership and task complexity. Introduce performance metrics. Run weekly feedback loops. Project management tools help track progress and manage tasks with remote teams. This is where you see whether the hire can manage processes independently.
  • Days 61 to 90: The VA should be fully independent, delivering measurable impact. Evaluate results, expand scope if warranted, and discuss growth opportunities. Operational efficiency improves with clear processes and communication for VAs.

Making a Confident Hiring Decision

Red Flags and Green Flags When Evaluating Candidates

Not every candidate who looks good on paper performs in practice. Here is what to watch for:

Red flags (warning signals during interviews):

  • Vague, generic descriptions of past work with no specifics about tools, processes, or outcomes
  • Poor written communication during screening: unclear language, sloppy formatting, or an unprofessional tone
  • Inconsistent work history with no explanation, or an inability to provide references or sample deliverables
  • Avoidance of questions about asynchronous collaboration, ambiguity handling, or how they manage without oversight

Green flags (indicators of senior level capability):

  • A detailed portfolio or work history aligned with your stack, including examples of process improvements or automation
  • Proactive communication: the candidate asks smart questions about workflows, expectations, and how success will be measured
  • Demonstrated reliability through references confirming deadlines met, consistent output, and strong remote discipline
  • Comfort navigating ambiguous tasks, showing operational judgment, and learning new tools quickly without excessive training

Why Partnering with SoftDoes Gives You an Edge

Most companies offering virtual assistant services provide administrative support and leave you to manage everything else. SoftDoes operates differently.

As a North America focused software engineering and talent delivery partner, SoftDoes gives you access to carefully vetted senior talent through our talent network. Every candidate passes a rigorous multi stage vetting process before they are ever introduced to a client. You are not sorting through hundreds of unqualified applicants. You are meeting people who are already proven.

The difference comes down to structure:

  • Team delivery model, not isolated freelancers. Your virtual assistant is supported by a broader delivery framework, not working in a silo. This means better knowledge sharing, backup coverage, and consistent quality across our services.
  • Replacement and scaling guarantees. If a hire is not the right fit, we replace them. If you need to scale up or down, the model flexes with your business. No long term lock in.
  • Senior level talent with real expertise. Our VAs are not entry level task runners. They bring deep experience in executive assistant functions, content creation, customer support, social media management, and technical operations.
  • Time zone alignment and communication standards. We prioritize overlap with North American business hours, so your VA is available for calls, virtual meetings, and real time collaboration when your team needs them.

Hiring contractors independently may lead to legal compliance risks. Partnering with SoftDoes removes that burden entirely.

Ready to Hire a Virtual Assistant?

Stop spending weeks sorting through unqualified candidates and start working with a virtual assistant who can improve productivity from day one. Whether you need executive support, administrative tasks handled, or a tech savvy specialist to support your engineering team, SoftDoes matches you with the right person for your specific needs.

Contact us to schedule a discovery call and tell us what you need. We will handle the sourcing, vetting, and matching so you can focus on building your business.

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