Hire a remote Microsoft SQL Server Developer

Looking to hire a Microsoft SQL Server Developer? Our Microsoft SQL Server Developers bring senior-level expertise, backed by a U.S. delivery team.

HIRE NOW
  • 100+

    Fully Vetted Developers

  • 24h

    Average Matching Time

  • 300

    Project Delivered

net-developers-iowa certificate
angular-developers-oklahoma-city certificate
app-development-kansas certificate
ai-company-kansas certificate
ai-company-south-dakota certificate
computer-vision-denver certificate
drupal-developers-wyoming certificate
flutter-developers-maryland certificate
generative-ai-boston certificate
generative-ai-seattle certificate
java-developers-alabama certificate
java-developers-idaho certificate
laravel-developers-denver certificate
machine-learning-kansas-city certificate
nextjs-developer-portland certificate
nodejs-developers-albuquerque certificate
php-developers-little-rock certificate
python-django-developers-denver certificate
react-native-developer-indiana certificate
react-native-developer-nashville certificate
software-developers-albuquerque certificate
software-developers-west-virginia certificate
swift-company-alabama certificate
web-developers-little-rock certificate

Hire remote Microsoft SQL Server 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.

Discover More Microsoft SQL Server Developers in the SoftDoes NetworkRegister to view more

What our Microsoft SQL Server 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.

Explore Services

FIND THE
RIGHT expert, FASTER

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

How to hire a Microsoft SQL Server 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 Microsoft SQL Server Developer through SoftDoes?

A structured hiring process can take 4 to 8 weeks when handled entirely in house, accounting for profile definition, sourcing, interviewing, and ramp up. Through SoftDoes, deployment timelines compress significantly because our talent network consists of pre vetted senior SQL Server developers who have already cleared rigorous technical and cultural screening. Most engagements move from initial consultation to a production ready developer in 3 to 6 weeks, and for urgent needs, we can deploy specialists within days. The key accelerator is that we eliminate the sourcing bottleneck entirely, so your team spends time evaluating fit rather than sifting through unqualified applicants.

What does it cost to hire a Microsoft SQL Server Developer?

Cost depends on seniority, geography, engagement model, and the complexity of your environment. U.S. senior SQL Server developers charge $90 to $110 per hour, while senior SQL Server developers in Colombia charge $60 to $80 per hour. Full time senior hires in major North American metros typically command $130K to $200K+ base salary before benefits and overhead. Beyond raw compensation, factor in infrastructure, tooling, onboarding, mentoring, and the opportunity cost of getting it wrong. SoftDoes offers multiple pricing structures: hourly pricing allows payment for each hour worked, fixed monthly pricing includes project managers and developers, and time and material pricing is based on project duration and resources. The right model depends on whether you need a short sprint or a long term partnership.

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

SoftDoes offers three primary engagement models to match your operational reality. A dedicated full time hire embeds a senior Microsoft SQL Server developer directly into your team for ongoing development, database optimization, and architecture ownership. A dedicated pod provides a small, managed team (developer plus technical oversight) for complex projects like cloud migration, data warehouse modernization, or large scale performance tuning. Contract or sprint engagements are scoped for defined objectives such as security hardening, query optimization, or compliance implementation. Each model includes engineering led oversight, so you get accountability that freelancer platforms and traditional staffing agencies simply do not provide.

How do you ensure time zone alignment with a Microsoft SQL Server Developer?

SoftDoes is a North America focused partner, so time zone alignment is a foundational part of how we structure every engagement. Our developers operate within overlapping North American business hours, whether they are based in the US, Canada, or nearshore locations. Communication channels, standup cadences, and handoff protocols are established during onboarding to ensure seamless collaboration with your existing engineering and product teams. For projects that span multiple time zones, we define explicit overlap windows and escalation paths so that nothing falls through the cracks.

How does SoftDoes technically vet a Microsoft SQL Server Developer?

Our vetting process goes far beyond resume review and certification checks. Every candidate completes a multi stage evaluation: a hands on code challenge involving real world T SQL optimization and complex stored procedures, an architecture scenario where they design for scale, availability, and security under realistic constraints, a live debugging session observed by senior engineers, and a peer review of past work samples. We also assess communication under pressure and cross functional collaboration skills. Technical assessments typically run 2 to 4 hours and are designed to surface how a developer thinks about trade offs, not just whether they can recall syntax. Only candidates who demonstrate deep proficiency in query tuning, disaster recovery planning, data integrity enforcement, and pragmatic problem solving advance to client presentation.

What happens if the Microsoft SQL Server 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 performance expectations or is not the right cultural fit, we replace them promptly at no additional cost to you. Scaling is equally straightforward: you can add developers as project scope expands or reduce capacity when a phase completes, without the overhead of traditional hiring and termination cycles. This flexibility is central to our model because we understand that engineering needs shift as projects evolve, business requirements change, and market conditions move. You retain full control over team composition without bearing the fixed cost risk of permanent headcount decisions that may not align with future needs.

The Executive Guide to Hiring a Microsoft SQL Server Developer

A single bad Microsoft SQL Server developer hire can quietly drain six figures in wasted salary, blown deadlines, and compounding technical debt before anyone sounds the alarm. A slow hiring pipeline is almost as costly: every week your mission critical database layer runs without the right engineer, you accumulate performance risk, compliance exposure, and lost product velocity. This playbook is the field tested strategy I use to define, vet, and onboard top tier Microsoft SQL Server Developer talent, built from years of engineering leadership and delivery oversight so you can skip the expensive lessons I already learned.

What Is Actually at Stake When You Hire a SQL Server Developer

The Real Scope: What Separates a Senior Microsoft SQL Server Developer from an Order Taker

Most candidates who list "SQL Server" on a resume can write stored procedures and run backups. That is table stakes. The developer you actually need operates at an entirely different altitude. Here is what a senior SQL Server developer does every single day that an order taker never will:

  • Owns system performance end to end. They establish performance baselines, analyze execution plans, interpret wait statistics, and tune queries and indexing strategies during the design phase, not after a production fire drill. Experience with tools like SQL Server Management Studio is essential for developers operating at this level.
  • Architects for high availability and disaster recovery. They implement Always On Availability Groups, failover clustering, replication, and backup strategies that survive infrastructure failures at scale. Security skills include understanding of role based access control and backup strategies.
  • Designs and manages complex data pipelines. From SSIS package development and SQL Server Analysis Services to SQL Server Reporting Services and data warehouse modeling with slowly changing dimensions, they own data integration from ingestion to business intelligence delivery. Experience with SQL Server Integration Services is often essential for BI projects.
  • Navigates hybrid and cloud environments. On premises Windows Server deployments, Azure SQL Database, Microsoft Azure Managed Instances, containerized SQL on Linux: they understand the cost, latency, and regulatory trade offs of each. Developers should be familiar with Azure SQL Database when working in cloud environments.
  • Eliminates technical debt proactively. Schema refactoring, legacy code modernization, removing redundant indexes, migrating older compatibility levels to current versions. They assist in migrating databases to newer SQL Server versions rather than letting rot accumulate.
  • Translates engineering trade offs into business language. They collaborate with cross functional teams, security, compliance, and product stakeholders with clear communication about performance SLAs, licensing costs, and risk.

Microsoft SQL Server underpins mission critical systems like ERP and CRM. Hiring SQL Server developers requires more than basic coding skills; it demands someone who can design efficient data models for database management, optimize existing queries and procedures, and maintain data integrity across large databases.

The Business Case: Financial and Operational Impact of Hiring Right

When you hire the right MS SQL Server developer, the ROI shows up across four concrete vectors:

  • Infrastructure and licensing optimization. Proper database optimization, including indexing, cleanup, and configuration tuning (MAXDOP, TempDB architecture, memory grants), can reduce CPU utilization enough to avoid costly hardware scaling. Real world performance tuning engagements have reduced blocking incidents by roughly 93%, lifted transactions per second from approximately 1,200 to 3,600, and dropped TempDB wait times from around 320ms to 18ms. Specialized MS SQL Server developers ensure faster query times and lower compute costs.
  • Faster development cycles. Database bottlenecks ripple through the entire software development life cycle. Reduced query latency, fewer slow running reports, and faster ETL refreshes translate directly into speed to market and less developer downtime.
  • Reduced operational and compliance risk. For regulated industries (finance, healthcare, e commerce platforms handling sensitive data), strong disaster recovery and HA prevents downtime that can cost millions per hour. Developers must understand data encryption and compliance standards relevant to their industry, including audit trails, data masking, and retention policies.
  • Lower long term maintenance burden. Early investment in clean schema design, naming standards, proper error handling, and scalable architecture keeps support costs linear instead of exponential as data volumes grow. Skilled developers ensure databases run efficiently and securely.

How to Prepare Before You Start Searching

Auditing Your Technical Constraints Before Talking to a Single Candidate

The most expensive hiring mistake happens before you ever review a resume: failing to define what this hire must actually accomplish. Define the scope of the project and required seniority level before hiring.

Architecture and Debt Audit

Start with a blunt question: what specific problem must this hire solve first? "Fix nightly ETL failures that cost us four hours of analyst productivity every morning" is a useful hiring goal. "Need a SQL developer" is a budget incinerator. Audit your current database performance: where are the slow queries, the fragmented indexes, the failed backups, the compliance gaps? Determine whether you need someone to modernize a legacy on premises system, build greenfield data pipelines, or provide performance tuning for an existing environment. Map the pain to the role.

Team Dynamics and Autonomy Level

Determine the need for pure developers or hybrid developers with DBA skills. Will this person be embedded in a larger engineering team as a supporting specialist, or will they function as a lead making design calls, enforcing code review standards for T SQL, and mentoring junior staff? Define reporting lines and whether they own database management infrastructure decisions or strictly development tasks.

Deployment Model Dynamics

Decide your engagement model before sourcing. In house full time employment in North America carries benefits, cultural alignment, and significant overhead. Hiring remote developers can provide access to global talent pools and can be highly cost effective, but demands rigorous vetting and oversight. A dedicated pod model through a partner like SoftDoes, which provides engineering led talent delivery with accountability, avoids the friction of unmanaged freelancers while maintaining flexibility to scale up or down. Each model has trade offs in cost, oversight, alignment, and turnaround time.

Building the Ideal Profile, Not a Generic Job Spec

Your job spec must map to four essential dimensions that go far beyond a list of tools:

  • Core outcome and mission. What business change are they delivering? Frame it as a measurable target: "ensure system latency under 200ms at 10x current data volumes" or "overhaul the data warehouse so business intelligence can report in near real time." Mission frames evaluation.
  • Technical stack reality. What versions of SQL Server? Azure SQL, hybrid, containerized, Linux, or Windows Server? Which tools for ETL (SSIS, Azure Data Factory)? Do you use Azure DevOps, Visual Studio, or other CI/CD pipelines? Database deployment requires familiarity with CI/CD pipelines. Documenting your full architecture prevents candidate mismatch.
  • Decision making authority. Can this role make schema changes? Influence infrastructure parameters and configuration? What constraints exist from the product team? More authority demands more seniority but also delivers more strategic thinking.
  • Growth trajectory. How will they grow inside your organization? Will they lead a team, own data platforms, shift into architecture? This directly impacts retention and your ability to attract top tier talent who value continuous learning.
To Contact Page

Let’s Turn Your Idea into Scalable Software

Book a call with the representative to get answers to all the questions you may have.

Contact us

The Vetting and Onboarding Framework That Eliminates Guesswork

A Battle Tested Vetting Framework for SQL Server Talent

Sourcing Reality

Source candidates from tech focused communities rather than general job boards. Traditional recruiters often deliver buzzword matching resumes; prescreened engineering talent networks oriented toward database and performance work tend to yield far better signal. Use SEO optimized job descriptions to attract qualified candidates, but screen for measurable achievements, not tool lists. Look for stories with scale: "I reduced query time by 80%," "I handled load of X transactions per second," "I led migration off a legacy version." 98% of clients choose developers based on technical dominance, which means your sourcing must prioritize demonstrated competence over credentials. Verify candidates' industry certifications to validate expertise, but never treat certification as a substitute for proven delivery.

Technical Evaluation Pipeline

Technical tests can reveal a candidate's actual skills rather than relying on resumes. Use practical technical screenings instead of purely theoretical questions during hiring. Technical assessments should last 2 to 4 hours to gauge skills effectively. Structure your pipeline around real challenges:

  1. Live problem solving over trivia. Give a slow query, an execution plan, or a problematic schema and ask the candidate to diagnose it step by step. What metrics do they check first? Do they reach for SQL Server Profiler, Query Store, or Dynamic Management Views? Do they understand parameter sniffing, implicit conversions, and the Database Engine Tuning Advisor? Look for proficiency in T SQL and database design skills, including user defined functions, complex stored procedures, and window functions.
  2. Architecture design review. Present your actual data environment (volume, growth rate, regulatory constraints, need to load data at scale) and ask how they would design for availability, performance, and security. This tests whether they understand relational databases at an architectural level or just write queries.
  3. Communication under pressure. Ask about past failures: incidents, what they missed, how they responded. Assess soft skills to ensure effective communication with stakeholders. Can they explain technical trade offs to non technical leadership without jargon?
  4. Cross functional culture fit. Analysts, infrastructure, security, compliance all interact with database work. Assess whether they understand business requirements, cost constraints, and the requirements gathering process that connects business intelligence needs to database implementation.

Hands on assessments are effective in evaluating practical experience during interviews. 98% of clients prefer specialized SQL Server developers for projects, and a rigorous evaluation pipeline is how you identify them.

The First 90 Days: A Frictionless Ramp Up Protocol

Getting ROI from a new Microsoft SQL Server developer fast requires a structured onboarding roadmap, not a "figure it out" approach:

  • Days 1 through 30: Deep Audit and Quick Wins. The new hire baselines current database performance metrics: index fragmentation, slow queries, HA status, backup validation, disaster recovery readiness. They identify the worst offenders and deliver quick wins. This phase establishes credibility and surfaces hidden risks.
  • Days 31 through 60: Systematic Remediation. Begin fixing the highest impact issues: query optimization, monitoring dashboards using performance tuning tools like Extended Events, enforcing standards (code review for T SQL, naming standards, documentation). Establish proper error handling patterns and ensure data integrity across all critical paths.
  • Days 61 through 90: High Impact Project Delivery. Deliver a defined, meaningful project: reduce monthly infrastructure cost, migrate a critical database component, implement a new SSIS package for data integration, or upgrade a mission critical system. After this milestone, expect full ownership of database performance and architecture decisions.

A structured hiring process can take 4 to 8 weeks; through a partner like SoftDoes, deployment can happen in as few as 3 to 6 weeks with custom software development support built around your exact technical needs.

Making the Final Hiring Decision

Interview Signals: Red Flags vs. Green Flags

Red Flags (Walk Away)

  • Tool obsession over problem solving. A candidate who leads with "I'm certified in _" or wants to talk about SQL Server Reporting Services, MS Visio, or web forms without explaining the underlying thinking behind their approach to analysis and implementation.
  • Inability to discuss trade offs. Every answer assumes unlimited budget, hardware, or zero legacy constraints. When asked "would you scale hardware or optimize software?" they cannot articulate cost vs. latency vs. maintainability vs. team bandwidth.
  • Defensive about failures. No clarity on what they have messed up or learned from. No failed project stories, no incident post mortems, no lessons. That is either dishonesty or inexperience.
  • Over engineering instinct. Jumping to highly complex patterns, premature optimization, or exotic architectures where simplicity would serve the business requirements better.

Green Flags (Lean In)

  • Walks you through a previous failure in detail. What was wrong, how they detected it (data, logs, monitoring), what actions they took, what they did to prevent recurrence. This reveals process maturity and intellectual honesty.
  • Pragmatic trade off analysis. They discuss cost, latency, maintainability, team bandwidth, and regulatory constraints as interrelated variables, not isolated concerns. Specialized developers enhance performance of mission critical systems because they think in systems, not silos.
  • Focus on data integrity and correctness. Not just query speed. They demonstrate concern for transactional consistency, concurrency handling, locking, backup validation, and security. Developers ensure data integrity and security in SQL Server environments.
  • Proactive risk identification. Without prompting, they raise security patching, version compatibility, capacity planning, encryption, data masking, or compliance concerns. Hiring specialized developers leads to faster query times and better security because these developers anticipate risk before it becomes an incident.

Why SoftDoes Is the Strategic Advantage

Traditional recruitment sells you resumes. Freelancer platforms sell you availability. Neither sells you accountability.

SoftDoes is a North America focused custom software engineering, data, and AI partner serving clients across the US and Canada. The model is fundamentally different:

  • Battle tested senior talent. Every SQL Server developer in our talent network has deep experience across enterprise environments, from on premises large databases to Azure SQL cloud deployments, Oracle migrations, and hybrid architectures.
  • Engineering led delivery oversight. Your developer is not an unmanaged contractor. SoftDoes provides veteran technical oversight to ensure delivery standards, code quality, and alignment with your projects and business goals.
  • Rapid deployment capability. SQL Server specialists ready within days, not months. When your database layer is the bottleneck, waiting 10 weeks for a traditional hire is not an option.
  • Flexibility to scale. Add or reduce capacity as project demands shift. No long term overhead commitments that become dead weight.
  • Zero risk replacement guarantee. If a developer is not the right fit, replacement is immediate. Traditional recruitment cannot offer that. Specialized talent supports growth in data management capabilities without the downside risk.

98% of clients choose experienced SQL Server developers for project success, and the SoftDoes model is built to deliver exactly that caliber, with accountability baked in.

Your Next Move: Book a Technical Discovery Session

Every week without the right Microsoft SQL Server developer on your team is a week of accumulating performance debt, compliance exposure, and lost engineering velocity. Skilled developers help maintain data integrity and maximize performance; the wrong hire or an empty seat does the opposite.

Book a technical discovery session with SoftDoes architects. We will assess your current SQL Server environment, map the ideal developer profile to your specific constraints, and deploy pre vetted senior talent with the speed and precision your business demands.

No generic resumes. No unmanaged freelancers. No risk.

Flag icon

U.S.-Based

Discuss Your Project

This is a no-pressure, 30-minute conversation. We will talk through what you are building, identify risks or unknowns, and outline what it would take to do it right.

Certificates

Let's build together.

Talk with a senior engineer about your product idea, architecture, and what it would take to build it.

Upload File