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Hire remote Ruby On Rails Developer

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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.

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 Ruby On Rails Developers can build

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How to hire a Ruby On Rails 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 Ruby On Rails Developer through SoftDoes?

For standard placements, expect timelines of 5 to 8 weeks through traditional channels. SoftDoes shortens that window because every candidate in the network is pre vetted against production criteria, not just resume keywords. Through the SoftDoes talent platform, hiring Ruby on Rails developers can take 3 to 10 days. For specialized senior or legacy code rescue experts, timelines can extend up to 14 weeks because the talent pool for those profiles is smaller and the vetting bar is higher. Your technical discovery session sets realistic expectations based on your specific requirements.

What does it cost to hire a Ruby On Rails Developer?

Ruby on Rails developers in the U.S. average $121,665 per year in salary, with a reported average of $130,177 for mid to senior roles. In the current market, U.S. based rails developers earn between $93,863 and $129,872 depending on experience and geographical location. Senior Ruby on Rails developers typically earn $94,894 annually in global markets, while junior Ruby on Rails developers average $69,413. Globally, the average sits around $78,642. For in house FTEs, add 25% to 30% on top of base salary for benefits, overhead, and taxes. Contract and freelance ruby on rails developer rates for senior specialists in the U.S. range from $150 to $225 or more per hour, particularly for rescue work and migrations. SoftDoes structures engagements to provide cost transparency across all models so you can budget against actual total cost, not just the job title base salary.

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

SoftDoes offers multiple engagement structures matched to your project phase and organizational needs. Dedicated developers integrate fully into your team for high velocity projects requiring sustained engineering capacity. Part time engagement allows consistent progress without full time commitment, suitable for ongoing maintenance or iterative feature work. On demand support provides immediate help from familiar engineers for urgent production issues or short term initiatives. You can also engage a full dedicated pod with technical leadership and delivery oversight for large scale builds, modernizations, or migrations. Each model includes architecture documentation and knowledge transfer protocols so your organization retains full ownership regardless of engagement duration.

How do you ensure time zone alignment with a Ruby On Rails Developer?

SoftDoes is a North America focused partner, and the talent network is structured around overlapping working hours with U.S. and Canadian teams. For distributed teams, SoftDoes establishes communication protocols, async documentation standards, and sprint cadences that ensure remote developers or remote ruby on rails developer placements maintain real time collaboration during core business hours. Timezone alignment is treated as a delivery requirement, not an afterthought, because communication gaps in asynchronous setups directly translate to slower development time and misaligned priorities.

How does SoftDoes technically vet a Ruby On Rails Developer?

Every candidate goes through a multi stage evaluation designed to surface production judgment, not textbook recall. The pipeline includes live problem solving on realistic Rails issues (query optimization, data model design with constraints), architecture review sessions where candidates evaluate tradeoffs in system design, communication exercises simulating production incident response, and cross functional fit assessment with product and design stakeholders. Candidates are evaluated on their technical abilities across the full stack: Ruby programming language proficiency, Active Record mastery, database management, performance optimization, security practices, and frontend integration techniques like Hotwire. Experience with automated testing tools like RSpec and proficiency with Git and Docker are verified, not assumed. Only candidates demonstrating both technical depth and the soft skills required for cross functional collaboration advance.

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

SoftDoes provides a zero risk replacement guarantee. If a developer does not meet your performance standards, a replacement is deployed without additional cost or extended vacancy. Scaling up or down is built into every engagement model. You can add rails engineers for a product launch and reduce capacity post deployment without long term payroll commitments. Every engagement includes handover documentation and architecture ownership protocols so your codebase, deployment pipelines, and institutional knowledge remain with your organization regardless of team changes.

The Executive Guide to Hiring a Ruby On Rails Developer

A bad Ruby on Rails developer hire burns six figures in recruiting fees, lost engineering weeks, and compounding technical debt before the first performance review lands. A slow hiring pipeline bleeds opportunity cost while competitors ship. This playbook delivers a field tested strategy to define, vet, and onboard top tier Ruby on Rails developer talent, built from real lessons placing rails engineers into production codebases across finance, healthcare, and high growth SaaS.

What Is Actually at Stake When You Hire Rails Talent

Ownership, System Design, and Tradeoff Judgment: The Senior Standard

The difference between a senior Ruby on Rails developer and an order taker is not syntax fluency or years on a resume. It is the capacity to own outcomes across architecture, performance, reliability, and team velocity. Here is what that looks like in daily operational reality:

  • Architectural ownership and boundary design. Experienced rails developers do not just build models and controllers. They evaluate when to split a monolith module, when to introduce domain driven design, and when event sourcing or CQRS patterns serve the business better than a standard CRUD layer. A Rails developer should know when to use standard Rails patterns and when to deviate.
  • System design under real constraints. Every sprint involves choosing between speed, maintainability, and cost. Selecting between schema denormalization for read performance or layered caching; choosing a proven gem versus building a custom abstraction; deciding between inline processing and background job queues. Senior developers make these calls with revenue and uptime in mind.
  • Reliability and performance engineering. Optimizing N+1 queries, tuning database indexing, scaling background processing with tools like Sidekiq, profiling latency. Candidates should demonstrate strong database indexing and query optimization skills, and background processing is critical for Rails app performance at scale.
  • Test strategy and legacy refactoring. Senior level developers write tests for risk, not for coverage percentages. They manage gem dependencies, deprecation paths, and major version upgrades. Rails supports built in testing and integrates testing with CI and parallel execution, which experienced developers use to keep deployment pipelines reliable. Test driven development and familiarity with testing frameworks like RSpec are table stakes.
  • Cross functional leadership. They mentor junior developers, run code reviews, communicate architecture decisions to product and design stakeholders, and write clear documentation. Rails developers should have strong written and verbal communication skills, because misalignment between engineering and product teams is where roadmaps die.
  • Security, compliance, and infrastructure fluency. In regulated industries, a single security lapse can cost millions. Rails provides substantial security tooling and guidance, but it takes experienced ruby on rails developer talent to implement authentication, authorization, encrypted data storage, and GDPR or HIPAA compliance correctly. Proficiency with Git and Docker is essential, and experience with deployment and CI/CD pipelines separates production engineers from tutorial builders.

Rails 8.1.3 is the latest release, and familiarity with modern features like Hotwire, Turbo, Stimulus, and Solid Cache marks developers who invest in the framework's evolution versus those frozen on legacy versions.

Financial and Operational ROI of the Right Hire

Hiring the right senior software engineer for your Rails stack is not a personnel decision. It is a capital allocation decision. Four ROI vectors matter most:

  • Technical debt avoidance. Every week of deferred refactoring or neglected architecture compounds maintenance cost. Fixing a structural issue early avoids the 2x to 4x cost multiplier that hits when bugs cascade through dependent systems. Independent project ownership is vital for effective Rails development; a senior hire catches these problems before they metastasize.
  • Faster deployment cycles. Senior rails developers design for continuous integration, automated testing, and rapid development. Ruby on Rails reduces development time by 40% compared to many competing stacks, and Rails allows rapid prototyping and MVP development. That advantage evaporates if your engineer cannot build the CI/CD pipeline to support it.
  • Infrastructure and cost optimization. Performance optimization across database usage, caching layers (including Redis and Solid Cache), and background job patterns directly reduces compute spend. A skilled ruby on rails developer prevents the unnecessary server sprawl that inflates cloud bills quarter over quarter.
  • Risk mitigation in regulated environments. In finance, healthcare, or regulated e commerce, compliance failures generate fines, remediation costs, and reputational damage. Data protection, audit trails, and secure dependency management require a solid understanding of both Rails security tooling and industry specific regulatory requirements.

Over 22,130 companies use Ruby on Rails in production, and Ruby on Rails holds a 19.95% market share in web frameworks. The talent pool sustaining these systems is narrowing. Fewer bootcamp graduates choose Rails; fewer junior developers enter the pipeline. That supply constraint makes every senior hire more consequential.

Defining What You Need Before You Search

Auditing Your Architecture, Team, and Deployment Model

Posting a generic job description before understanding your own constraints is the most expensive mistake hiring managers make. Audit three dimensions first.

Codebase State and Priority Problem

Define the actual state of your Rails application. Is it a monolith built on Rails 5 or earlier? Does it already use Hotwire for frontend integration? Are there gem dependencies blocking upgrade paths? What are your traffic patterns: early stage product with hundreds of users, or a scaled platform handling millions of requests?

Each answer changes the seniority and specialization you need. A major version upgrade demands different technical expertise than API performance tuning or security compliance remediation. A clear job description attracts qualified Ruby on Rails developers. Include project specific tools in the job description and specify required technical and soft skills. Use simple language to make the job description easy to understand.

Team Structure and Decision Authority

Decide whether this hire will lead architecture decisions or execute under existing guidance. Will they mentor a team, embed within an existing squad, or form a dedicated pod with end to end ownership? A senior hire who must own everything from database management to deployment monitoring commands different compensation and evaluation criteria than one contributing to a well structured team.

Deployment and Engagement Model

Will you hire an in house full time employee? A contract specialist? A remote ruby on rails developer through a vetted talent network? In house hiring typically involves full time developers or IT staff, with benefits overhead adding 25% to 30% on top of base salary. Outsourcing allows access to specialized skills and reduces costs. Hiring through vetted talent platforms offers pre screened developers with verified production experience. Each model carries distinct tradeoffs in legal compliance, communication friction, timezone alignment, and total cost of ownership.

Building a Profile That Attracts the Right Candidate

Generic job specs attract generic applicants. Define four profile axes instead:

  • Core outcome and mission. What is this developer accountable for delivering? "Own and reduce checkout flow response times by 50% within six months" or "Lead migration from Rails 6 to Rails 8 with zero downtime" gives purpose, benchmarks, and a filter. Highlight unique company culture in job descriptions to attract talent, because top ruby on rails developer candidates choose missions, not just compensation.
  • Technical stack reality. Specify Rails version(s), frontend experience (Hotwire, Stimulus, React, Vue, or other javascript frameworks), background job system (Sidekiq, Que), databases (PostgreSQL, MySQL), caching layers, search infrastructure, messaging queues, and deployment tooling (Docker, Kubernetes, AWS, GCP). Understanding relational databases and SQL aids in working with Active Record, and Active Record encompasses associations, validations, callbacks, migrations, and database interaction. Also document what legacy you carry and what the ideal candidate will inherit.
  • Decision making authority. Will they set architecture? Approve code reviews? Choose libraries? Own monitoring and DevOps? Clarity on autonomy separates a senior hire from a mid level contributor following instructions. Framework mastery includes deep familiarity with MVC architecture and Active Record, and the right RoR developer needs the authority to put that mastery to work.
  • Growth trajectory. Define what "senior" means inside your organization: technical lead, mentor, architecture owner, or a path toward infrastructure, data engineering, or machine learning integration. Experienced developers evaluate growth paths before accepting offers. Make yours concrete.
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Vetting Candidates and Onboarding for Immediate Impact

A Vetting Pipeline That Surfaces Real Capability

Where Senior Rails Talent Actually Lives

Talent pools for rails developers have contracted. Fewer new graduates choose Rails; many senior practitioners focus on maintaining and modernizing legacy rails applications rather than building greenfield products. Over 13,000 Ruby on Rails job openings exist in the U.S., competing for a shrinking supply of experienced rails developers.

Generic job boards produce volume, not quality. Engineering networks, Rails and open source communities, and alumni of successful Rails shops yield higher signal candidates. Use specialized niche job boards to find Ruby on Rails developers. Prescreened networks and partnerships reduce risk compared to raw sourcing. For contract or rescue work (technical debt cleanup, major migrations), many of the best rails experts work freelance or on retainer and command premium hourly rates. Hiring Ruby on Rails developers can take 3 to 10 days through vetted platforms, compared to 5 to 8 weeks for standard hires through traditional channels. Expect up to 14 weeks for specialized senior or legacy code rescue experts.

Evaluating Technical Ability, Communication, and Fit

Structure your technical evaluation pipeline to surface tradeoff thinking and production judgment, not trivia recall:

  1. Live problem solving over whiteboard exercises. Present a realistic Rails issue: a model/controller bug in a small system, a query path to optimize, or a data model design with real constraints. Ruby on Rails emphasizes Convention Over Configuration, and you want to see whether candidates apply that principle pragmatically or dogmatically. Rails encourages a pragmatic approach balancing architectural purity and business delivery.
  2. Architecture review with tradeoff discussion. Ask the candidate to evaluate a hypothetical (or anonymized real) system. What would they extract into services or gems? How would they structure migrations? What scaling strategy fits? Probe their understanding of the MVC architecture, restful API design, and the architectural pattern decisions that separate maintainable code from spaghetti.
  3. Communication under pressure. Simulate an urgent production issue. Observe how they explain the problem, prioritize fixes, and involve stakeholders. Critical thinking and soft skills surface here, not in algorithm puzzles.
  4. Cross functional and culture fit. Assess interaction style with product, design, and data teams. Evaluate their code review process, how they handle feedback, how they own mistakes, and whether their delivery tempo matches yours. Include a code review sample from your own repository; ask what they would change and why.

Experience with automated testing tools like RSpec is crucial. Knowledge of RESTful API design, proficiency in modern JavaScript frameworks, and familiarity with SQL and PostgreSQL round out the technical checklist.

From Hire to Productive Contributor in 90 Days

Even a strong hire fails without structured onboarding. A 30/60/90 day milestone roadmap accelerates ownership and protects your investment.

Days 1 through 30: The new hire maps the codebase, focusing on the most brittle and business critical areas. They shadow existing architecture decisions, absorb domain context, and deliver a small feature that touches multiple layers (frontend, backend, background job). They begin owning a module and running their first code reviews. Dedicated developers integrate fully into your team during this phase, and early friction signals misalignment before costs compound.

Days 31 through 60: They take ownership of a larger component or technical debt item. They instrument performance monitoring improvements, identify at least one risk (security, compliance, scaling), and propose a mitigation roadmap. They begin mentoring junior developers and contributing to process improvements around continuous integration and deployment.

Days 61 through 90: They lead an upgrade project, migration, or major refactoring effort. They own the deployment path, rollback plan, and monitoring configuration. They demonstrate measurable process improvement: faster CI/CD pipelines, expanded test coverage, clearer documentation. By day 90, they are accountable for the uptime and performance of a defined system component.

Reviews at each milestone should include deliverables and feedback loops with product, design, and data stakeholders.

Evaluating Candidates and Choosing Your Partner

Signals That Predict Success or Failure in Interviews

Red Flags

  • Tool fixation without tradeoff reasoning. Candidates who name drop gems, frameworks, or object oriented programming patterns but cannot explain when an alternative serves the business better are reciting, not engineering.
  • No failure stories. If every project narrative is a success, real production experience is shallow. Senior developers have lived through poorly planned releases, production incidents, and rollback decisions. Ask for specifics.
  • Rigidity masquerading as expertise. "This is how we always did it" is a warning. Scalable web applications require adapting to new constraints, not replicating past playbooks.
  • Vague communication under pressure. Inability to explain complexity in manageable terms, blaming others, or refusing to accept constraints (time, budget, legacy code) predicts downstream misalignment with product teams and stakeholders.

Green Flags

  • Pragmatic tradeoff analysis. When asked "monolith or services?" or "inline or background processing?" they discuss concrete pros and cons tailored to the specific business context, not theoretical ideals. They understand agile methodologies as a delivery framework, not a buzzword.
  • Focus on data and system integrity. They care about consistency, data migrations, error handling, edge cases. They ask about your monitoring and observability stack before you bring it up.
  • Proactive risk identification. During the vetting process, they raise security, scaling, or maintainability concerns before being prompted. This is the behavior that prevents six figure incidents.
  • Craftsmanship in code quality. Good naming conventions, intentional test choices, traceable code style, and attention to performance, monitoring, and logging. They write maintainable code because they have maintained someone else's unmaintainable code.

Why Engineering Leaders Choose SoftDoes

SoftDoes is a North America focused custom software engineering and data and AI partner serving clients across the U.S. and Canada. The difference between SoftDoes and a staffing agency is the difference between an engineering partner and a resume forwarding service.

  • Battle tested senior talent, not resume volume. Every Rails developer in the SoftDoes talent network carries demonstrated production experience: Rails version upgrades, large scale background job architectures, monitoring and observability ownership, and complex external integrations. Top 5% of Ruby on Rails talent is sourced for hiring. These are experienced developers with a solid background in building full stack web applications, not bootcamp graduates learning on your codebase.
  • Engineering led delivery oversight. SoftDoes provides senior architect oversight, code reviews, and architecture advisory. This is not a marketplace of unmanaged freelancers. It is a structured delivery model where code quality and architectural consistency are enforced.
  • Rapid deployment and flexible scaling. Ramp a dedicated ruby on rails developer for a critical sprint, build a full pod for a product launch, or scale down post deployment without payroll commitments. Engagement models span direct hire, contract, dedicated team, rescue projects, and custom solutions for modernizing legacy rails applications or integrating AI and machine learning pipelines.
  • Zero risk replacement guarantee. If a developer does not meet performance standards, SoftDoes provides a replacement at no additional cost. Handover documentation and architecture ownership transfer ensure you are never dependent on a single contractor.

Ruby on Rails developers can build web applications 40% faster than many competing stacks. That speed advantage compounds when backed by rails programmers who bring technical expertise in the full stack framework, from database management and restful API design to frontend integration and application development. Rails provides access to extensive documentation and open source libraries, and experienced ruby developers know how to use that ecosystem to accelerate project success.

Your Next Step: Book a Technical Discovery Session

Every week without the right ror developer on your team is a week of compounding technical debt, missed deployment windows, and stalled product velocity.

If you are a CEO, CTO, or VP of Engineering evaluating how to hire dedicated ruby on rails talent for your next critical initiative, start with a 30 minute technical discovery session with a SoftDoes architect. We will assess your codebase constraints, define the exact profile you need, and deliver a shortlist of pre vetted senior candidates within days.

No generic resumes. No wasted interview cycles. Actionable engineering talent matched to your stack, your constraints, and your delivery timeline.

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