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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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What our Salesforce Developers can build

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RIGHT expert, FASTER

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How to hire a Salesforce Developer

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 Developer through SoftDoes?

Typical lead time depends on the seniority and specialization you need. For a mid level Salesforce developer, expect the full cycle of screening, vetting, and onboarding to take roughly four to six weeks. For senior or highly specialized roles, such as those requiring deep experience in CPQ, Data Cloud, or complex multi cloud Salesforce implementations, the process can take six to ten weeks. This includes identifying the right Salesforce talent, validating skills through a project like assessment, and coordinating with your internal stakeholders to ensure alignment before day one.

What does it cost to hire a Salesforce Developer?

Cost varies significantly by seniority, specialization, engagement model, and geography. In house Salesforce developers earn $90,000 to $150,000 annually in the US, with senior engineers in complex Salesforce clouds potentially reaching higher brackets. Remote Salesforce developers cost $25 to $99 per hour, depending on location and expertise. Offshore Salesforce developers charge $15 to $35 per hour. Nearshore Salesforce developers earn between $30,000 and $95,000 annually. Salesforce certifications, specialized experience in areas like Data Cloud or CPQ, and demonstrated production scale work all shift compensation upward. SoftDoes offers transparent pricing across all engagement models so you can plan your budget with confidence.

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

SoftDoes offers three primary models. You can hire a single dedicated developer embedded in your internal team for specific technical challenges or to supplement your existing Salesforce capabilities. You can engage a full development pod, a multi person dedicated team including developers, a Salesforce administrator, and technical leads, for comprehensive Salesforce implementations or major customization projects. You can also work on a contract or hourly basis for short term needs or burst capacity. Each model has trade offs in coordination, control, and cost. Dedicated hires give you the deepest alignment with your business model. Pods bring breadth, redundancy, and team productivity. Contract engagements give maximum flexibility when project requirements shift.

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

SoftDoes primarily provides US and Canada based or nearshore talent to minimize time zone friction. We ensure that remote candidates overlap core working hours with your team, ideally at least three to four hours of real time collaboration per day. During the hiring process, we define communication cadences, standups, core hours, and overlapping windows explicitly. We also establish protocols for asynchronous documentation and collaboration tools so that ongoing support and progress never stall outside of shared working hours.

How does SoftDoes technically vet a Salesforce Developer?

Our vetting process goes well beyond certifications and resume reviews. We evaluate technical depth across relevant Salesforce clouds, including Apex, LWC, Flows, and integration patterns. Each candidate completes a paid assessment project modeled on realistic project requirements, not toy exercises. We conduct code reviews of past work, evaluate their DevOps and CI/CD experience, test their awareness of Salesforce security models and performance optimization, and assess domain alignment for regulated industries like healthcare or finance. We specifically look for a track record of delivering in production Salesforce orgs at scale, not just sandbox or training environment experience. Salesforce developers offer custom application development services, and we ensure every candidate we present can deliver that at an enterprise level.

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

SoftDoes offers replacement guarantees for hires who do not meet your expectations. If a developer is not the right fit, we transition a new, qualified candidate quickly without leaving gaps in your roadmap. Scaling up or down is built into our engagement models. Whether you need to add [Salesforce Pardot consultants](/talent/hire-salesforce-pardot-consultants) to your team, shift specialists to a different project, or reduce headcount as priorities change, we maintain bench capacity so you can adjust without sacrificing quality or momentum. Our goal is to be a long term partner in your Salesforce development, not a one time placement agency.

How to Hire a Salesforce Developer

Hiring the wrong Salesforce developer costs more than a bad salary decision. It means months of stalled projects, brittle integrations, growing technical debt, and a CRM that works against your team instead of for it. This guide walks you through exactly what a Salesforce developer does, how to scope and prepare the role, where to find and vet qualified candidates, and how to make a confident hiring decision that drives real business outcomes.

What a Salesforce Developer Really Does (And Why the Role Matters)

The Day to Day: Core Responsibilities of a Salesforce Developer

A Salesforce developer is not a generic software engineer dropped into a CRM. Salesforce developers write custom code and automate business processes on a platform with its own architecture, constraints, and tooling. Salesforce's multi-tenant architecture necessitates specific engineering habits that general developers simply do not have. Their work sits at the intersection of business requirements and technical execution, spanning everything from backend logic to user facing components to third party integrations.

Here is what a Salesforce developer's daily work typically looks like:

  • Apex development and automation logic. Salesforce developers utilize Apex for backend functionality and automation, including classes, triggers, batch jobs, and scheduled processes. A competent Salesforce developer must understand Apex governor limits to ensure performance and avoid runtime failures. Understanding the trade-offs between using code and declarative solutions is important for developers; declarative tools should be prioritized before custom coding in Salesforce development.
  • Building Lightning components and custom UI. Developing Lightning Web Components (LWC) and other lightning components for user facing modules, ensuring responsive and accessible interfaces within the Salesforce platform.
  • Designing and maintaining integrations. Salesforce integration services connect existing systems with Salesforce. You should verify candidates' integration skills with REST/SOAP APIs and middleware, as this work involves ERP systems, marketing stacks, data warehouses, and legacy systems.
  • Declarative automation and workflow design. Using Flows, screen flows, and record triggered flows to automate business processes where custom code is unnecessary, which reduces maintenance overhead and improves scalability.
  • Data architecture, migration, and security. Salesforce migration services ensure secure data transfer to Salesforce. This includes schema design, object relationships, validation rules, deduplication, and enforcing permission and data security models. Knowledge of Salesforce security models and compliance standards is essential for developers.
  • Deployment, testing, and release management. Managing CI/CD pipelines, sandbox environments, UAT cycles, and production promotions. Writing unit and integration tests to maintain code quality and audit readiness across the Salesforce org.

Communication skills are vital for developers to work with non technical stakeholders. Developers need business acumen to translate requirements into technical solutions effectively. The best Salesforce developer work bridges the gap between what the business requires and what the Salesforce system can deliver.

It is worth noting how this role differs from adjacent positions. Salesforce administrators handle day to day support and system maintenance, typically working with declarative tools rather than code. Salesforce architects create stable data architecture and scaling strategies at the organizational level. QA specialists ensure Salesforce implementations work as intended through testing and validation. Specialized developers focus on domain specific Salesforce solutions, such as CPQ, Marketing Cloud, or Data Cloud.

Why Getting This Hire Right Is a Business Decision, Not Just a Technical One

Hiring the right Salesforce developer is crucial for CRM success. The impact goes beyond code quality. It shows up in revenue velocity, operational costs, and how confidently your team can scale.

  • Faster time to market for roadmap features. A skilled Salesforce developer eliminates delays caused by poor architecture, misuse of low code tools, or rework from integration failures. Your Salesforce implementation moves at the pace of business, not at the pace of technical firefighting.
  • Lower operational costs and reduced risk. Well written Apex code that respects governor limits, paired with scalable declarative workflows, means fewer bugs, better test coverage, and less emergency maintenance. Salesforce customization enhances user experience and operational efficiency when done right.
  • Greater system reliability and user adoption. Clean data architecture, secure permissions, and robust governance reduce conflicting workflows and data errors. When users trust the Salesforce system, adoption goes up, and the platform actually delivers on its investment.
  • Scalable growth and future flexibility. A strong developer designs integrations that are loosely coupled, UI components that are modular, and automations that accommodate platform updates. Your Salesforce capabilities evolve alongside the business instead of becoming a bottleneck.

90% of professionals say data is key to digital transformation, and the Salesforce ecosystem continues to grow. Over 11.6 million jobs will be created in the Salesforce ecosystem, making Salesforce talent both high demand and increasingly specialized.

How to Prepare Before You Open the Role

Scoping the Hire: What to Define Before Writing a Job Description

The fastest way to waste budget on a Salesforce hire is to skip internal preparation. Before you source a single candidate, get clarity on three dimensions.

Project Scope and Requirements

Define the project scope clearly before hiring a Salesforce developer. Map out which Salesforce products are in scope: Sales Cloud, Salesforce Service Cloud, Marketing Cloud, Experience Cloud, CPQ, Data Cloud, or others. Understanding of specific Salesforce clouds is important for developers, and mismatched cloud experience is a common cause of hiring failures.

Document the volume and complexity of integrations, the source systems involved, expected data volumes, whether there is a legacy migration, custom UI needs, workflow complexity, and any regulatory or compliance requirements. Clarify whether the work is greenfield development or maintenance and refactoring of an existing Salesforce org. Identify how many users, transactions, and geographies the system needs to support.

Team Structure and Engagement Model

Determine where the new hire fits in your internal team. Will they report to a PM or product owner? Will they work alongside a Salesforce administrator, business systems analysts, or architects? Will they lead or mentor others?

Assess your delivery methodology (Agile, Scrum, Kanban), whether you have a dedicated QA team, your maturity in DevOps and CI/CD tooling, and your sandbox strategy. These factors directly influence the seniority level and engagement model you need.

In House vs. Dedicated Remote Talent

Weigh the trade offs honestly. In house teams bring deeper context and closer collaboration but carry higher total cost: salary, benefits, facilities, and retention overhead. In house Salesforce developers earn $90,000 to $150,000 annually, depending on seniority and specialization.

Dedicated remote Salesforce developers offer faster hiring, cost flexibility, and access to a global talent pool. Hiring remote Salesforce developers costs $25 to $99 per hour, while offshore Salesforce developers charge $15 to $35 per hour. Nearshore Salesforce developers earn between $30,000 and $95,000 annually.

Consider time zone alignment, data security standards, IP ownership, cultural fit, and retention risk when choosing your hiring model.

Writing a Job Description That Attracts the Right Salesforce Developer

Hiring processes should be clear to avoid losing senior candidates. A clear recruitment process gives a competitive edge in hiring. Your job description must communicate four things to attract seasoned Salesforce experts rather than generic applicants.

  1. The mission. What business pain are you solving? Connect the role to business goals and outcomes, not just a list of tasks. "Help us reduce quote to close time by 40% through CPQ automation" is far more compelling than "write Apex triggers."
  2. The stack and context. Specify which Salesforce clouds, external systems, and tools make up your tech stack. Mention whether you use Experience Cloud, CPQ, Data Cloud, or other products. State the scale of your Salesforce org, the level of technical debt, whether the work is greenfield or legacy, and your release cadence. Salesforce developers should possess integration experience with third party systems, so call out integration requirements explicitly.
  3. Team structure. Clarify who they report to, who they collaborate with, the size of the dedicated team, and whether they are the only Salesforce developer or part of a pod. Mention whether they will work with external partners or vendors.
  4. Growth and impact. Outline the opportunity for increasing responsibility: leading modules, participating in architecture decisions, pursuing Salesforce certifications, or working with advanced features. Include performance expectations around quality, adoption, and uptime.
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Sourcing, Screening, and Setting Up for Success

How to Find and Vet Qualified Salesforce Talent

Sourcing Strategy

You have several channels to find suitable candidates, and each comes with different trade offs in cost, delivery speed, and risk.

  • Specialized recruitment firms focused on enterprise CRM and Salesforce talent offer deep networks but often charge significant placement fees.
  • Vetted talent networks provide pre screened, senior level candidates with verified professional experience. These networks reduce screening time and often include replacement guarantees, which is a significant advantage when hiring certified Salesforce developers. Our talent network gives you direct access to qualified talent with proven Salesforce expertise.
  • Job boards and referrals cast a wider net but require more internal screening effort. Referrals from your existing engineers often surface stronger candidates.
  • Salesforce community and Trailblazer networks are good for identifying candidates with hands on experience and active engagement in the Salesforce ecosystem.

Compare each channel against your timeline and project requirements. If you need to hire dedicated Salesforce developers quickly with minimal hiring risk, a vetted network typically outperforms open job boards.

Vetting Beyond the Resume

Resumes rarely reveal whether someone respects governor limits, handles integration edge cases, or writes maintainable, testable code. Salesforce certification is crucial for vetting qualified talent, and Salesforce certifications validate a developer's expertise and skills, but they are not sufficient on their own. Certified Salesforce developers typically command higher salaries because their credentials represent verified platform knowledge.

A rigorous vetting process should include:

  • A practical, real world task. A paid coding challenge that reflects your production reality, for example, building an integration with a third party API including error handling, or creating a custom LWC component. This is the single best indicator of whether someone can actually do Salesforce developer work at your level of complexity.
  • A technical deep dive interview. Cover Apex edge cases, SOQL optimization, flow order of execution, bulkification patterns, and the security and sharing model. Discuss performance, scalability, and how the candidate approaches platform constraints. Salesforce recommends evaluating candidates on their technical depth in areas like Apex and SOQL.
  • Culture fit and communication. Assess how the developer collaborates under ambiguity, works alongside admins and analysts, and communicates with non technical stakeholders. A brilliant coder who cannot explain their approach to a VP of Sales is a liability, not an asset.

Salesforce offers certifications for various skill levels and specialties, from Platform Developer I and II to specialized credentials in CPQ, Marketing Cloud, and Data Cloud. Look for a combination of certification and real production experience, not one without the other.

Ramping Up Without Friction: A 30/60/90 Day Framework

A structured onboarding plan turns a good hire into a productive contributor. Without it, even dedicated Salesforce certified developers can flounder for months.

First 30 days: Expose the new hire to the full org context: codebase, data architecture, sandbox environments, release processes, and team rhythm. Provide introductions to key stakeholders. Set up access to version control, documentation, CI/CD tools, and all necessary environments from day one.

Days 30 to 60: Assign progressively larger tasks: bug fixes, small enhancements, shadow code reviews, and integration work. This is where you validate that the developer understands your business processes and can operate within your Salesforce system independently.

Days 60 to 90: Expect ownership of modules or projects, meaningful input into the product roadmap, and possibly mentoring of junior team members. By this point, the developer should be delivering measurable value and demonstrating the Salesforce expertise that justified the hire.

Provide continuous feedback, clear performance metrics, and paths for growth. Offer access to Salesforce certifications, training, and advanced platform features to support retention. Junior Salesforce developers are more affordable but require supervision, so if you have hired at a senior level, make sure the onboarding reflects that seniority rather than treating them as a junior resource.

How to Make a Confident Hiring Decision

Warning Signs vs. Proof of Capability

Knowing what to look for, and what to avoid, saves you from expensive mistakes.

Red flags:

  • Vague descriptions of past work with no specifics about org size, clouds used, or business impact
  • Inability to explain governor limits, bulkification, or the order of execution in Salesforce
  • No experience with CI/CD pipelines, test coverage standards, or version control
  • Weak understanding of the Salesforce security and sharing model, which is critical for any enterprise Salesforce implementation

Green flags:

  • Demonstrable background in complex Salesforce orgs with specific examples of modules built using LWC and Apex development
  • Proven integration experience connecting Salesforce with disparate existing systems at scale, including experience to integrate Salesforce with ERPs, BI tools, and marketing platforms
  • Strong DevOps practices: version control discipline, automated testing, structured deployment processes
  • A track record of modernizing legacy automations, completing Salesforce migration projects, or transitioning organizations to Lightning

Senior Salesforce developers command higher rates due to experience, but the premium is almost always justified by faster delivery, fewer defects, and architecture that does not need to be rebuilt in six months.

How SoftDoes Eliminates the Risk in Hiring Salesforce Talent

SoftDoes is a North America focused software engineering and talent delivery partner that removes the guesswork from hiring Salesforce developers. We do not provide isolated freelancers. We deliver carefully vetted, senior level specialized talent through a team delivery model designed for continuity and accountability.

  • Dedicated Salesforce certified developers with proven production experience across the full Salesforce platform: Apex, LWC, Service Cloud, Sales Cloud, Marketing Cloud, Data Cloud, and integrations.
  • Flexible engagement models from a single dedicated developer to a full development pod, so you can scale up or down as your business needs evolve.
  • Replacement and scaling guarantees that eliminate the risk of a bad hire stalling your roadmap. If a developer does not meet expectations, we replace them.
  • Deep experience in regulated industries including finance and healthcare, where compliance, data security, and reliability are non negotiable.
  • US and Canada focused talent with strong communication skills and natural time zone alignment, so your team productivity is never compromised by coordination friction.

Whether you need to hire a Salesforce developer for a specific project, augment your in house teams with ongoing support, or build a dedicated team to own your Salesforce development services end to end, SoftDoes provides the Salesforce solutions and delivery speed that enterprise organizations require. Our engineers deliver API integration services and Salesforce customization work backed by mature DevOps, governance, and security practices.

Ready to Hire a Salesforce Developer?

Stop spending months searching for qualified candidates who may or may not deliver. Whether you need a single Salesforce expert or a complete team to own your Salesforce applications and maintenance services, SoftDoes gives you gain access to pre vetted, senior Salesforce talent with transparent pricing, complete control over engagement terms, and the confidence that comes from a trusted partner with a replacement guarantee.

Schedule a discovery call today. Tell us your business requirements, and we will match you with dedicated Salesforce developers who can start delivering results, not excuses.

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