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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.

Andrew V.
Available Now
Verified in SoftDoesAndrew 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.

Andrew V.
Available Now
Andrew 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.

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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What our Salesforce Administrators can build

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How to hire a Salesforce Administrator

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 Salesforce Administrator through SoftDoes?

The hiring process can take 3 days to 3 weeks depending on the complexity of your Salesforce environment and the seniority of the role. Well defined requirements accelerate everything. When the technical stack, business objectives, and decision making authority are clearly scoped upfront, we consistently place skilled admins at the faster end of that range. Senior roles involving advanced security, AI capabilities, or multi cloud governance may require additional evaluation time because the right candidates are rare and the cost of a wrong placement is too high to rush.

What does it cost to hire a Salesforce Administrator?

Salesforce Admin salaries range from $55,000 to $135,000 in the US, with the median salary for Salesforce Admins sitting at approximately $86,000. Junior administrators with up to two years of experience typically fall in the $65,000 to $85,000 range, mid level professionals with three to five years land between $85,000 and $110,000, and senior administrators who own governance, integrations, and business process optimization command $105,000 to $135,000 or more. On top of base compensation, benefits, payroll taxes, and overhead typically add 25% to 40%. Hiring a Salesforce Admin can be complex and costly when you factor in recruiter fees, job advertising, interview cycles, and the productivity cost of ramp time. Engagement through a partner like SoftDoes with competitive pricing often reduces total cost of ownership by eliminating recruiting overhead and accelerating time to productivity.

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

Three primary models serve different stages of organizational maturity. A full time internal hire works best when you have continuous demand, an established business systems function, and expected growth that justifies permanent headcount. A contractor is ideal for one off projects, migrations, or pilots where flexibility and limited commitment are priorities. A dedicated hire through a vetted talent partner like SoftDoes combines the ownership advantages of an internal placement with the flexibility to scale and the protection of a replacement guarantee. Each model has distinct tradeoffs in cost, ramp time, continuity, and ongoing maintenance responsibility. The right choice depends on your current Salesforce investment, the complexity of your org, and whether your needs are reactive or strategic.

How do you ensure time zone alignment with a Salesforce Administrator?

For remote engagements, we prioritize candidates with significant overlap in your core business hours. Clear working hour agreements, communication norms, and async documentation standards are established during onboarding. We define explicit SLAs for response times and escalation paths. For organizations with critical real time needs, we build coverage redundancy so your Salesforce environment is never without support during business operations. Managing users, handling urgent security issues, and supporting your sales team require predictable availability, and we structure every engagement to guarantee it.

How does SoftDoes technically vet a Salesforce Administrator?

Our vetting process goes well beyond checking whether someone holds the Salesforce Certified Administrator credential. The Salesforce Certified Platform Administrator exam includes essential AI understanding along with admin fundamentals, but certification is the entry requirement, not the differentiator. We evaluate portfolio depth (orgs worked on, business impact delivered, types of Salesforce products and clouds managed), conduct hands on scenario problems involving real architecture challenges, run live architecture reviews that test tradeoff thinking under constraints, and assess cross functional communication through behavioral interviews. We probe data management capability, governance experience, and the ability to enhance customer engagement through thoughtful system design. Salesforce Admins should hold the Salesforce Certified Administrator credential, but what separates the best Salesforce administrators from average ones is demonstrated ability to solve business challenges in production environments, not performance on a multiple choice exam.

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

SoftDoes provides a zero risk replacement guarantee. If the administrator is not the right fit for your Salesforce roles or organizational culture, we replace them at no additional cost. Regular feedback loops and structured check ins help identify mismatch early, before it becomes a costly problem. Because our onboarding protocol emphasizes documentation and governance from day one, handover to a replacement administrator is smooth and does not create a knowledge vacuum. Flexible contracts allow you to scale your engagement up or down as project demands and business goals evolve. Whether you need to add a second admin for a major migration or reduce scope after a launch stabilizes, the model adapts to you, not the other way around.

The Executive Guide to Hiring a Salesforce Administrator

A single bad Salesforce Administrator hire can silently drain six figures in lost productivity, broken automations, and compounding technical debt before anyone notices the damage. A great one can improve operational efficiency by 50% and become the connective tissue between your revenue engine and your technology teams. This playbook gives you a field tested strategy to define, vet, and onboard top tier Salesforce Administrator talent, built from hard lessons across hundreds of enterprise engagements, so you stop gambling on resumes and start placing people who actually move the needle.

What Actually Separates a Senior Salesforce Administrator from an Order Taker

Most executives underestimate what a skilled Salesforce Administrator does every day. They picture someone resetting passwords and building basic custom reports. That mental model is dangerously incomplete and leads directly to underscoped hires, misaligned expectations, and eventual churn.

The True Scope of Elite Salesforce Admin Talent

A great admin must translate vague business requests into clean technical specifications. That single sentence defines the difference between a senior hire and a ticket taker. Here is what the daily operational reality actually looks like for someone who owns your Salesforce environment at an enterprise level:

  • Configuration roadmap ownership. Designing scalable data models, governing objects, fields, and automation naming conventions, and proactively managing metadata health across the entire Salesforce platform.
  • Multi cloud complexity. Navigating Sales Cloud, Service Cloud, Marketing Cloud, CPQ, Data Cloud, and integrations simultaneously. Each specific Salesforce cloud adds its own sharing rules, API limits, concurrency constraints, and security surface area.
  • Tradeoff management under pressure. Declarative automation vs. custom code. System stability vs. speed of change. Usability vs. security controls. A senior Salesforce Administrator makes these calls daily, understanding the downstream cost of each one.
  • Technical debt governance. Identifying orphaned fields, duplicate records, stale page layouts, brittle automations, and redundant validation rules before they become production incidents. Fixing these after the fact costs orders of magnitude more.
  • Cross functional stakeholder alignment. Working directly with RevOps, Customer Success, Support, BI, and Security to ensure the CRM system serves every function, not just Sales.
  • Compliance and audit readiness. Implementing least privilege models, maintaining audit trails, and aligning Salesforce configurations with GDPR, SOX, SOC2, and industry specific regulatory requirements.

Salesforce identifies security, sharing, automation, and data management as essential skills for administrators. But the best Salesforce Administrators go well beyond the certification syllabus. They own outcomes, not just configurations.

The Financial and Operational Case You Cannot Ignore

Hiring a skilled Salesforce Administrator is not an IT staffing decision. It is an investment thesis. Here are the ROI vectors that matter:

  • Technical debt reduction. Every broken sharing model, badly performing flow, and duplicated field creates compounding drag. Seniors prevent the accumulation; juniors often accelerate it. The cost of re architecting shared logic or migrating legacy automations later dwarfs the cost of doing it right the first time.
  • Faster deployment cycles. High quality admins enable disciplined release processes even in declarative environments. Well groomed backlogs, structured change logs, and regression testing protocols reduce hotfixes and rollbacks, accelerating time to value.
  • Infrastructure optimization. Proper use of sharing architecture, elimination of redundant fields and page layouts, and strategic license management directly reduce your Salesforce investment per user. Storage and API consumption drop. Subscription and integration costs follow.
  • Risk mitigation. Security controls and user management are core competencies for Salesforce administrators. A senior admin who enforces governance prevents breaches, compliance fines, and costly remediation events that can dwarf a full year's salary.

Companies using Salesforce optimally see a 45% increase in lead conversion. Salesforce Admins can automate workflows, saving time and reducing errors across every team that touches the platform. The ROI is not theoretical; it shows up in pipeline accuracy, forecast reliability, and sales team velocity.

Before You Post a Single Job Listing

The single biggest reason Salesforce admin hires fail is not a talent shortage. It is an undefined problem statement. Companies often wait too long to hire a Salesforce Admin, then rush the hiring process with a generic job spec pulled from a template. The result: wrong profile, wrong expectations, wrong outcome.

Audit Your Technical Constraints Before You Search

Map Your Architecture and Existing Debt

Before writing a job posting, map your Salesforce org. Count your objects (standard vs. custom), catalog your integrations, inventory your automation (flows, triggers, legacy workflow rules and process builder configurations). Document your permission model and sharing rules. Identify whether you are carrying problems like data duplication, stale metadata, orphaned layouts, or inconsistent validation rules.

If your org uses multiple Salesforce products, including CPQ, Marketing Cloud, or emerging capabilities like AI features, each adds a distinct layer of complexity. Any Salesforce Administrator you hire must have relevant domain exposure, not just a generic certification.

Determine Team Dynamics and Autonomy Level

Decide whether this Salesforce admin will be embedded in your Business Systems or RevOps team, operate as a fully autonomous owner of the platform, or work as part of a dedicated pod managed by an external partner. Embedded roles require someone who can navigate internal politics and stakeholder alignment. External or remote models demand discipline in documentation, communication cadence, and clear SLAs.

Choose Your Deployment Model Deliberately

Consider the real tradeoffs between an in house FTE, a contractor, and a dedicated hire through an agency or talent network. A full time hire gives you continuity but takes longer to source, costs more in overhead, and carries the full risk of a bad fit. A contractor offers flexibility for one off projects but lacks long term ownership. A dedicated hire through a vetted partner combines the ownership benefits of internal placement with external flexibility and replacement guarantees.

Salesforce admins can be hired full time, part time, or hourly. Full time Salesforce admins typically cost around $2,100 per month. Part time Salesforce admins usually charge about $1,260 per month. Hourly rates for Salesforce admins can start at $18 per hour. Contract staffing allows temporary access to Salesforce admins as needed, and temp to perm models let companies evaluate candidates before permanent hire.

Build the Profile Around Outcomes, Not a Generic Job Spec

Stop writing job postings that read like a Salesforce feature list. Instead, define four essential profile components:

  1. Core outcome and mission. What specific business challenges must this hire solve? Reducing forecasting error by a measurable percentage? Cleaning up a broken integration layer? Improving pipeline hygiene? Enabling new process automation? Name the mission, not the tool.
  2. Technical stack reality. Which specific Salesforce clouds are in play? What integrations exist? What data volumes and automation complexity are involved? Do you use Apex, LWC, managed packages, or Marketing Cloud? The right Salesforce Administrator for a five integration Sales Cloud org is a completely different profile than one for a multi cloud enterprise with CPQ, Data Cloud, and workflow automation spanning dozens of business processes.
  3. Decision making authority. Will this admin be empowered to enforce governance and push back on bad business requests? Or will they need vendor or developer sign off for every configuration change? The answer shapes both the caliber of candidate you need and the caliber willing to take the role.
  4. Growth trajectory. Is this a terminal role or a path to team lead, business systems lead, or hybrid admin/developer? What Salesforce certifications do you expect? A certified Salesforce administrator credential is table stakes. Advanced Administrator, Consultant, or Specialist certifications signal deeper Salesforce expertise and a commitment to continuous learning.
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How to Vet and Onboard Without Burning Months

A Vetting Framework That Actually Predicts Performance

The Sourcing Problem No One Talks About

Traditional recruitment agencies surface candidates who look great on paper: polished resumes, a list of Salesforce certifications, and confident interview patter. But Salesforce certification covers areas like configuration, users, data, analytics, and automation at a baseline level. It does not prove someone can architect a sharing model for a 2,000 user org or diagnose a performance bottleneck in a complex flow chain.

Specialized recruitment agencies and job boards will get you a diverse talent pool of qualified candidates, but without engineering led evaluation, you are screening for credentials rather than capability. That is how hiring mistakes happen, including the common and costly error of confusing Admins with Developers. Pre screened engineering talent networks, where technical leaders evaluate candidates rather than HR generalists, consistently outperform the traditional recruitment process.

The Technical Evaluation Pipeline That Works

Demonstrated problem solving skills are more important than certifications for hiring Salesforce administrators. Structure your evaluation pipeline around real operational scenarios, not trivia:

  • Live architecture review. Give the candidate a flawed sharing model or a tangle of competing automations and ask them to walk through a redesign. Watch how they handle tradeoffs under constraints: cost, performance, security, user adoption.
  • Scenario based problem solving. "How would you enforce a mandatory lost reason when an Opportunity is marked lost?" "Walk me through setting up role hierarchy and visibility in a large org." These questions reveal whether someone understands the Salesforce ecosystem at a systems level or just memorized process builder steps.
  • Cross functional communication. Can they explain a technical decision to a non technical stakeholder? Are they comfortable saying "this needs governance, not a quick hack"? Salesforce emphasizes communication, problem solving, stakeholder collaboration, and project management for admins. Strong communication skills are non negotiable.
  • Data management depth. Assess data management capabilities by questioning how candidates handle data migration and quality maintenance. Probe how they approach data integrity, deduplication, and ongoing data quality governance.

Hiring a qualified Salesforce Administrator requires evaluating how a candidate translates business needs into system configurations. If a candidate cannot demonstrate this in real time, move on.

The First 90 Days: Turning a Hire into a Force Multiplier

Even the best Salesforce professionals need a structured onboarding protocol. Without one, your new admin inherits chaos and either drowns or creates more of it.

Days 1 through 30: Orient and observe. The new admin reviews the org's full structure: data model, metadata, automation, sharing and security configurations. They identify key stakeholders across Sales, CS, Support, BI, and Security. They study the current backlog, review existing custom reports, dashboards, error logs, and support tickets. No major Salesforce configurations changes happen yet. The goal is to understand constraints before acting.

Days 31 through 60: Build relationships and deliver quick wins. Conduct listening sessions with power users. Identify one to three visible "quick wins" (clean up a broken dashboard, fix an obvious automation issue, simplify an overly complex permission set). Begin defining a prioritized backlog and establishing a change log and release process. Start improving documentation and enhancing the Salesforce user experience where it is most painful.

Days 61 through 90: Shift to proactive ownership. Audit data quality across the org. Evaluate redundancies, performance issues, and opportunities to streamline operations. Set measurable KPIs aligned with business objectives: user adoption rates, cycle times, error counts, ticket resolution speed. Establish a formal release management process, baseline SLAs, and train the admin team or internal users on best practices. Salesforce Admins create custom dashboards for real time data visibility, and by day 90, those dashboards should reflect the metrics that matter to executive decision making.

The Decision Framework: Signals, Strategy, and the Partner Advantage

Red Flags and Green Flags That Predict Success or Failure

After hundreds of interviews with Salesforce talent, the signals that predict success are remarkably consistent, and they have almost nothing to do with what most hiring managers look for.

Red flags that should end the conversation:

  • Certification theater. Excessive focus on tools and credentials rather than outcomes or tradeoffs. "I can build anything in Flow Builder" without showing how they prevented a disaster or improved a measurable business outcome.
  • No failure stories. Inability to discuss past mistakes, learnings, or situations where things went sideways. Every experienced admin has war stories. If they do not, they have not been in the trenches.
  • Tool obsession over business impact. Talking enthusiastically about every new Salesforce feature while showing no concern for system stability, data integrity, or cost. Salesforce requires continuous learning due to rapid changes in technology and processes, but chasing features without strategic context is a red flag.
  • Jargon without clarity. Poor ability to explain decisions to business stakeholders. If they cannot make a VP understand why a change matters, they will struggle to drive business success in your organization.

Green flags that signal a high impact hire:

  • Pragmatic tradeoff analysis. Clearly articulates situations where they pushed back on bad business demands, improved a process, or prevented risk. They think in terms of system design, not just task completion.
  • Metrics orientation. Emphasis on measurable outcomes: user adoption improvement, outage reduction, forecasting accuracy gains, error resolution times. They quantify their impact.
  • Data and system integrity mindset. Shows a history of governance, audits, compliance changes, and proactive system customization. They ensure data quality by cleaning and organizing records as a discipline, not an afterthought.
  • Proactive risk identification. Calls out scaling issues, org fragility, performance bottlenecks, backup and recovery gaps before you ask. This is the hallmark of a Salesforce consultant level thinker operating in an admin role.

Why Engineering Leaders Choose SoftDoes

SoftDoes exists because the traditional model for placing Salesforce talent is fundamentally broken for technical leaders who need results, not resumes.

As a North America focused custom software engineering and data and AI partner serving clients across the US and Canada, SoftDoes brings a different approach to placing skilled Salesforce Admins:

  • Battle tested senior talent. Every Salesforce Administrator in our network has demonstrated the ability to manage complex enterprise implementations. Salesforce Admins typically have 3 to 7 years of experience, and we focus on the senior end of that range: professionals who own governance, integrations, and business outcomes.
  • Engineering led delivery oversight. This is not unmanaged freelancer placement. Our technical leadership evaluates, monitors, and supports every engagement. When you hire a Salesforce developer or administrator through SoftDoes, you get engineering oversight that ensures quality delivery.
  • Rapid deployment capability. The hiring process can take 3 days to 3 weeks, not months. We match highly skilled Salesforce professionals to your specific business requirements and technical stack with speed that traditional recruitment agencies cannot match.
  • Flexible scaling. Scale your admin team up or down based on project demands without the friction of traditional hiring and termination cycles.
  • Zero risk replacement guarantee. If the fit is not right, we replace the administrator at no additional cost. Your engineering budget stays protected. A two week free trial is offered to evaluate candidates before you commit.

Our API integration services complement administrator placement when your Salesforce environment requires deep integration work alongside ongoing maintenance and administration.

Take the Next Step

Every week you operate with the wrong Salesforce Administrator, or no dedicated Salesforce Administrator at all, you accumulate technical debt, lose pipeline visibility, and slow down every team that depends on your CRM strategy.

The job market for Salesforce talent reflects 148% job growth over the past five years. The best candidates are not browsing job postings. They are already working, and they move through networks, not job boards.

Book a technical discovery session with SoftDoes architects. We will assess your Salesforce environment, define the ideal profile for your specific business, and match you with a dedicated Salesforce Administrator from our pre vetted talent network who can start delivering value immediately. Stop treating Salesforce admin hiring as an HR exercise. Treat it as the engineering investment decision it actually is.

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