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Hire remote Smb Software Developer

Discover developers that match your project requirements.

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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What our Smb Software Developers can build

Not sure which engagement model fits?

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

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How to hire a Smb Software 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 an SMB Software Developer through SoftDoes?

Most engagements move from initial requirements discussion to a matched, onboarded developer within two to four weeks. Highly specialized roles or niche stacks may take slightly longer, while common full stack or cloud focused positions often fill faster. SoftDoes compresses the typical 35 to 41 day industry hiring cycle by presenting candidates who have already cleared technical screening, system design evaluation, and reference checks, so your hiring manager spends time choosing from qualified profiles rather than filtering through a large applicant pool.

What does it cost to hire an SMB Software Developer?

Pricing ranges depend on seniority, tech stack, engagement model, and whether the developer works remotely or is embedded with your team. In general, dedicated remote senior talent through SoftDoes delivers better value than a full time in house hire when you account for benefits, overhead, recruiting fees, and the cost of a failed hire, which industry data places at 50% to 200% of annual salary. SoftDoes provides transparent pricing based on your actual requirements rather than rigid packages, so you pay for the expertise and delivery model your project needs without hidden fees or unnecessary add on costs.

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

SoftDoes offers three primary models. A dedicated hire places one senior engineer embedded in your workflow, reporting to your manager and working within your tools and processes. A pod is a small cross functional team, typically two to five people, that handles end to end delivery for a project or product area. A contract engagement covers a defined scope with clear deliverables and a fixed timeline. Each model has different implications for cost, control, IP ownership, and scalability. Most clients in the small and medium business space start with a dedicated hire or a small pod and expand as their needs grow.

How do you ensure time zone alignment with an SMB Software Developer?

SoftDoes operates with a North America focused talent network spanning multiple regions with strong overlap to US and Canadian business hours. When matching engineers to your project, we prioritize candidates whose working hours align with your team's core collaboration window. For asynchronous workflows, we establish clear communication norms, documentation standards, and handoff processes so progress never stalls. Teams use shared tools for real time updates, and weekly progress reviews keep everyone aligned regardless of location.

How does SoftDoes technically vet an SMB Software Developer?

Every candidate goes through a multi stage evaluation before entering our talent network. This includes a technical background review matched to specific stacks and domains, a practical coding assessment focused on real world problem solving, a system design evaluation for mid and senior level candidates, a code review exercise to assess quality thinking and collaboration instincts, and thorough reference checks with previous managers or team leads. We also evaluate communication skills, cultural fit, and domain awareness, particularly for regulated industries where compliance knowledge is nonnegotiable. Automating administrative tasks can reduce operating costs for small businesses, but no amount of automation replaces rigorous human judgment when evaluating whether a developer can own your most critical systems.

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

SoftDoes provides a replacement guarantee. If a developer does not meet performance expectations, we initiate a swap immediately and manage the transition so your project does not lose momentum. Scaling works the same way: if your business needs grow, we add qualified talent from our network without restarting the recruiting process. If your scope contracts, we adjust the team size and engagement terms accordingly. Evaluating vendor stability is important for business critical software choices, and our flexible model is designed so you never feel locked into an arrangement that no longer fits your company's trajectory.

How to Hire an Smb Software Developer

Hiring someone who can write code is easy. Hiring someone who solves real business problems, ships reliable software, and scales with your company is a different challenge entirely. A bad hire drains your budget, delays launches, and buries your team in technical debt. A great hire accelerates revenue, reduces operational cost, and builds systems that grow with you. This guide walks you through defining the role, preparing internally, vetting candidates with precision, and making a confident final decision, whether you run an early stage startup or a growing company serving thousands of customers.

What an SMB Software Developer Really Does and Why This Role Drives Growth

The Specialist Behind Your Product: What This Role Looks Like Day to Day

An SMB software developer is not just a coder. This is the person responsible for building, scaling, maintaining, and modernizing the software systems that power your business. In small and medium sized businesses, this role often spans the full stack, from cloud infrastructure and data pipelines to user facing features and security. Think of it as a business operations role that happens to require deep technical knowledge.

Here is what this specialist actually does on a daily basis:

  • Designs, codes, tests, and deploys new features within your product backlog, writing clean, well tested code that meets acceptance criteria and ships on schedule.
  • Debugs production issues by investigating logs, monitoring tools, and uptime incidents, then resolving performance degradations or system failures before they affect customers.
  • Collaborates across teams with product managers, designers, QA, compliance, and sometimes end users to align technical decisions with business outcomes.
  • Refactors legacy code and manages technical debt to keep systems maintainable, scalable, and secure as your user base and data volumes grow.
  • Configures CI/CD pipelines and cloud environments to ensure reliable deployments, availability, and compliance with standards relevant to your industry.
  • Conducts code reviews and security audits to maintain quality, catch vulnerabilities, and optimize API response times, caching, and load balancing.

Good SMB software can connect various systems to prevent duplicated data entry, and the right developer ensures those integrations work cleanly with existing tools like accounting and email systems. Centralized data eliminates messy spreadsheets and disconnected silos, giving your hiring team and operations leaders real time insight that combines key data into clear dashboards for fast decision making.

Why Getting This Hire Right Changes Your Business Trajectory

The difference between an average developer and the right developer is not incremental. High performers in engineering can be dramatically more productive than average, which makes selecting above average talent disproportionately valuable. Here are the concrete business benefits:

  • Faster time to market - A developer who understands your domain and stack iterates quickly, reducing feature delivery lead time and giving you a faster way to reach revenue milestones.
  • Measurable cost reduction - Less rework, fewer bugs, and more maintainable code translate directly into lower support and maintenance costs. SMB software solutions save time and money by automating repetitive tasks, and a skilled developer maximizes that advantage.
  • System reliability and uptime - For clients in finance, healthcare, or payment processing, downtime is not an inconvenience; it is a liability. The right hire builds robust error handling, monitoring, and redundancy from day one.
  • Scalable growth without rewrites - As your user base expands, your architecture must scale. A strong hire designs systems that handle growth without requiring a complete rebuild, and software can grow alongside a business through upgradeable subscription tiers when the foundation is built correctly.

How to Prepare Internally Before You Start Recruiting

Defining Exactly What You Need Before Opening the Role

Skipping this step is the single most common reason SMB software hires fail. Before you post a job or contact a talent partner, get clear on three things.

Project Scope and Requirements

Define the specific problems you need solved in the first 30 to 90 days. List functional and nonfunctional requirements: performance targets, scalability expectations, security and compliance needs, tech stack, and integration points. Spell out what "done" looks like with clear acceptance criteria. Vague requirements attract vague candidates.

Vendor evaluation should include checking security practices and compliance measures, so factor those expectations into your requirements from the start.

Team Structure and Engagement Model

Decide how the new developer will integrate. Will they work within an in house team, report to a hiring manager, or operate as a dedicated remote specialist? Who owns architecture decisions, code reviews, and QA sign off? Define the mentoring ratio and the decision making process before you write a single line of the job description.

In House vs. Dedicated Remote Talent

In house hires offer deeper business context and tighter communication, but come with higher overhead, slower scaling, and significant recruiting cost. Dedicated remote talent, especially through a vetted talent network, gives you access to specialized skills, cost efficiency, and speed. Engagement models range from full time employees and contractors to dedicated hires and development pods. Each model has different implications for cost, commitment, IP ownership, and control. For companies on a tight budget, remote senior talent often delivers better value per dollar.

Writing a Job Description That Attracts the Right Candidates

Most SMB job descriptions read like a grocery list of technologies. That approach attracts resume optimizers, not problem solvers. A standout job description covers four elements:

  • Mission and business context - Why this role exists, what business outcome it supports, who the customers are, and what domain or regulatory environment applies. This is your chance to filter for candidates who care about impact, not just tools.
  • Tech stack and context - A clear list of required technologies, plus architectural context. Are they joining a greenfield project, modernizing legacy systems, integrating AI, or migrating to the cloud? Quality expectations like tests, code reviews, CI/CD, and security standards belong here.
  • Team structure and collaboration - How the team is organized, who they will work with daily, remote vs. in office expectations, timezone requirements, and communication norms. If the role involves on call or production incident handling, say so.
  • Growth and impact - What you expect in the first 90 days, what ownership looks like after that, and how the role evolves. Developers who build careers, not just features, want to know their work matters.
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How to Source, Vet, and Onboard an SMB Software Developer

A Structured Hiring and Vetting Process That Actually Works

Sourcing Strategy

Recruiting software helps streamline various hiring processes, but sourcing is where most companies either waste time or gain a decisive advantage. You have two broad options:

Standard outbound recruiting means posting on a job board, screening applicant tracking system submissions, and running candidates through your own pipeline. This works but is slow. Typical time to hire for a software engineer runs 35 to 41 days, and top candidates often accept other offers before you finish your process.

The alternative is working with a vetted talent network that has already screened for technical depth, domain knowledge, and culture fit. This approach compresses your timeline and eliminates early stage filtering. Candidate sourcing software expands access to potential talent pools, and applicant tracking systems centralize candidate management in one platform, but nothing replaces human judgment when evaluating senior level engineering talent.

Vetting Beyond the Resume

Resumes tell you what someone claims. Vetting tells you what they can actually do. Use a structured, multi stage process:

  • Resume and profile screening - Look for outcome oriented statements ("reduced latency by 50%," "scaled from 1K to 100K users") rather than just a list of technologies. Investigate short tenures and verify ownership claims.
  • Practical coding assessment - A scoped, real world task (two to four hours) that tests clean code, test coverage, edge case handling, and thoughtful design. Task automation cuts down human error and saves time on routine work, so assess whether the candidate thinks about automation in their solutions.
  • System design interview - For mid and senior roles, evaluate architecture thinking, trade off reasoning, failure mode awareness, scalability, and maintainability. This is where you separate implementers from engineers.
  • Code review exercise - Give the candidate a pull request or code sample and ask them to find issues, improve readability, and spot hidden pitfalls. This reveals how they think about quality and collaboration.
  • Behavioral and culture fit - Assess communication, problem solving under ambiguity, and domain understanding. References should focus on delivery under pressure, collaboration, and how they handle missed deadlines.

AI can automate candidate screening processes and AI improves hiring efficiency by reducing time to hire, but assessments must still test genuine understanding, debugging ability, and architecture thinking. Candidates increasingly use AI to write code, so your vetting process needs to confirm they can reason through problems, not just generate output.

Ramping Up Without Friction: The 30/60/90 Day Playbook

Hiring is only half the equation. Poor onboarding kills retention and delays productivity. Here is a practical framework:

  • Days 1 to 30 - Environment setup, access provisioning, introductions, and clearly assigned first deliverables. Pair the new hire with a team member for context. Focus on less critical but realistic features, code reviews, and stack familiarization. ATS improves workflow visibility for hiring teams, and the same principle applies to developer onboarding: make processes transparent from day one.
  • Days 31 to 60 - Transition to independent work. The developer handles their own modules, takes ownership of features, and participates in giving and receiving feedback. Evaluate alignment with performance expectations.
  • Days 61 to 90 - Full integration. The developer delivers measurable business impact, contributes to architecture decisions, and has a clear growth path mapped out. Run a formal feedback loop to determine whether to scale, reshape, or expand the role.

Retention depends on mentoring, professional development, mission alignment, compensation clarity, and regular check ins. Strong candidate communication enhances overall candidate experience, and the same communication standards apply after someone joins your team.

How to Make the Final Call with Confidence

Warning Signs and Winning Signals in the Interview Process

Knowing what to look for separates confident decisions from costly gambles.

Red Flags:

  • Vague explanations of past work - If a candidate cannot describe specific contributions, trade offs, or outcomes from previous projects, they likely did not own the work they claim.
  • Constant agreement with no pushback - Developers who say "yes" to everything without discussing trade offs lack the judgment you need for architecture and scaling decisions.
  • Resistance to feedback or reflection - Defensive behavior, inability to admit mistakes, or no history of peer review signals someone who will create friction on your team.
  • Low transparency about process - Candidates who hide their code, cannot articulate the "why" behind their solutions, or avoid sharing documentation raise serious trust concerns.

Green Flags:

  • Quantified impact metrics - "Reduced API response time by 40%" or "shipped features serving 50K users" demonstrates someone who connects code to business outcomes.
  • Evidence of growing ownership - Leading projects, architecting modules, mentoring junior developers. You want a trajectory, not a flat line.
  • Architectural thinking and trade off reasoning - In system design or code review exercises, they articulate options, explain decisions, and consider failure modes before choosing a path.
  • Clear communication across disciplines - They explain technical concepts to nontechnical stakeholders, ask clarifying questions, and collaborate naturally in team settings.

How SoftDoes Removes the Risk From Your Hiring Process

SoftDoes gives you access to senior engineers who are already vetted for both technical depth and domain knowledge, eliminating the costly early stages of recruiting. Our custom software development services are built around a team delivery model, not isolated freelancers, which means built in peer review, shared ownership, and consistent quality standards.

Here is what that looks like in practice:

  • Pre vetted senior talent - Every engineer in our network has passed rigorous technical screening, system design evaluation, and reference verification. Reputable software providers may offer security controls difficult for small businesses to implement on their own, and our talent brings that expertise from day one.
  • Team delivery, not solo acts - Development pods provide redundancy, knowledge sharing, and accountability that a single contractor cannot match.
  • Replacement and scaling guarantees - If someone is not the right fit, we swap them immediately. Need to scale up or down? We adjust without procurement delays or contract renegotiations.
  • Flexible engagement models - From a single specialist to a full cross functional pod, remote or embedded, you choose the model that fits your budget and operations.
  • Regulated industry expertise - Our engineers have hands on experience with compliance frameworks, secure architecture, and data governance across finance, healthcare, and beyond. We also maintain experienced developers across Latin America for teams that need strong timezone overlap with North American operations.

Ready to Hire an SMB Software Developer?

Stop spending weeks sorting through unvetted candidates and hoping for the best. Schedule a discovery call with SoftDoes to map the role, review pre vetted candidate profiles, and define your first 90 day outcomes. No lengthy procurement, no complex contracts, just a clear path to the senior talent your business needs to grow.

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