Hire Property Sector Developers Backed by a U.S. Delivery Team

Looking to hire a Property Sector Developer? Our Property Sector experts bring proven, 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 Property Sector 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 Property Sector Developers in the SoftDoes NetworkRegister to view more

What our Property Sector 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 Property Sector 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 Property Sector Developer through SoftDoes?

Depending on the seniority level and specific domain requirements, sourcing and vetting typically take three to six weeks. The first month after placement focuses on domain alignment and onboarding, with the developer contributing to production work within that initial period. For teams that need to move faster, SoftDoes maintains a bench of pre vetted senior talent that can shorten the sourcing phase.

What does it cost to hire a Property Sector Developer?

Senior PropTech developers in the U.S. with five to eight years of experience typically command $150,000 to $200,000 per year in base salary, plus benefits. Remote or dedicated options (nearshore or offshore) can reduce that cost by 40 to 60%. As a reference, one PropTech company in Paris hired a four person full stack AI team remotely for roughly $26,300 per month total, compared to approximately $75,000 per month for equivalent local talent. Leasing agents earn an average salary of $62,908 per year and real estate brokers must complete over 80 hours of classroom study for licensing, which gives context for how the broader property industry benchmarks compensation and qualifications.

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

SoftDoes offers three primary models. A dedicated individual can be assigned to a specific feature or module for focused delivery. A pod model provides a small, self contained team (front end, backend, data, design) that takes full ownership of a product domain. A contract or project basis model works for fixed scope deliveries with defined milestones. You can start with one model and adjust as your needs change.

How do you ensure time zone alignment with a Property Sector Developer?

SoftDoes defines core overlap windows based on your team's schedule. Remote hires in Latin America and Eastern Europe are common choices for companies operating on U.S. or Canadian business hours, as they provide four to six hours of real time overlap per day. Asynchronous documentation, structured code reviews, and clearly defined sprint cycles fill the remaining gaps. The goal is that timezone differences never block progress on critical path work.

How does SoftDoes technically vet a Property Sector Developer?

The process has multiple stages. Candidates complete a code screening that tests core engineering skills, then a domain specific task (such as building a mini valuation model or processing a geospatial dataset) that verifies property sector capability. A technical interview with a domain specialist covers system design, regulatory awareness, and problem solving in property contexts. Reference checks with previous employers or clients round out the evaluation. This multi step approach filters for both engineering depth and real estate domain fluency.

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

SoftDoes includes replacement guarantees in its engagement terms. If a developer is underperforming or the project scope shifts, SoftDoes will find a replacement or adjust the team size. You can scale up by adding specialists (data engineering, DevOps, front end) or scale down if a project phase completes. The contract terms are designed so that you are never locked into a team configuration that no longer fits your business needs.

How to Hire a Property Sector Developer

Most companies hiring for property technology roles end up cycling through generalist developers who can write clean code but have no idea how zoning regulations, lease escalation logic, or geospatial data pipelines actually work. The result: missed deadlines, expensive rework, and software that doesn't fit the business. This guide walks you through what a property sector developer does, how to scope and structure the hire, how to vet candidates with real domain depth, and how to onboard them so they deliver value fast.

What the Role Covers and Why It Matters to Your Business

What a Property Sector Developer Actually Does Day to Day

A property sector developer (sometimes called a PropTech developer or real estate software engineer) builds the software systems that power the real estate industry: property management platforms, valuation engines, leasing workflows, smart building infrastructure, marketplace applications, and analytics dashboards. The role sits at the intersection of software engineering and deep domain knowledge, including local regulations, financial modelling, and spatial data.

Here is what the daily work looks like in practice:

  • Data modelling and geospatial processing. Ingesting, cleaning, and structuring property records, zoning maps, land use classifications, and tax data. Working with GIS tools, mapping APIs, and spatial databases like PostGIS to make location data queryable and accurate.
  • Financial and valuation modelling. Building dynamic models for internal rate of return, discounted cash flow, cap rates, rent rolls, and occupancy forecasting. Real estate investors and portfolio managers depend on these calculations to make acquisition and disposition decisions.
  • Regulation, zoning, and compliance integration. Encoding local building codes, permitting workflows, environmental constraints, and housing regulations into application logic. Errors here lead to legal exposure, not just bugs.
  • API integration and system architecture. Connecting to external services (mortgage platforms, tax assessor databases, IoT sensor networks, listing feeds) and designing scalable backend systems, typically using microservices and cloud infrastructure on AWS, Azure, or GCP.
  • User experience and visualization. Creating dashboards, 3D or AR property views, and mobile or web interfaces that nontechnical users (agents, tenants, property managers, buyers and sellers) can navigate without training.
  • Operational technology and IoT. Supporting smart building sensors, energy monitoring systems, and predictive maintenance tools. Uptime and data accuracy are nonnegotiable when software controls building operations.

The skill set required spans backend languages (Python, Node.js, Java), search tools (Elasticsearch), front end frameworks (React, Vue), machine learning for automated valuations and predictions, and cloud DevOps. Screening for specific competencies is important when hiring property management staff, especially because generalist developers rarely carry this combination.

Why This Hire Is a Strategic Priority, Not a Staffing Task

Getting this hire wrong costs more than a recruiter's fee. Here is what is at stake:

  • Speed to market. Property management technology can streamline operations and improve tenant experience, but only if you ship before competitors. A developer who understands lease structures and property data models from day one delivers features in weeks, not months.
  • Cost control. Domain errors, such as a zoning miscalculation or a compliance gap, create legal liability and expensive rework. The right hire avoids those mistakes before they reach production. A clear fee structure helps avoid unexpected costs in property management, and the same principle applies to your software budget.
  • System reliability. PropTech platforms often run mission critical operations: rent collection, lease management, asset reporting. Outages or incorrect data create direct financial losses for your clients and your own business.
  • Scalable growth. Expanding across geographies, property types (residential properties, commercial buildings, condos, rental units), or user segments requires architecture that supports it. The wrong hire locks you into decisions that block future features or force a rewrite.

The single family rental market is experiencing historic demand. High interest rates are driving more Americans to rent rather than purchase homes, and the U.S. has a shortage of 6.5 million single family homes. Only 10 to 15% of single family rental owners use technology to manage their portfolios, which means the market for property software is far from saturated. For companies building in this space, hiring the right developer is the first step toward capturing that opportunity.

How to Prepare Before You Open the Role

Scoping the Hire: Requirements, Team Shape, and Engagement Model

Before you post a job description or contact a talent network, spend time on three internal decisions.

Project Scope and Requirements

Identify whether you are building a new product (a marketplace, a valuation engine, a tenant portal) or modernizing legacy systems. Many property companies still run on disconnected spreadsheets and siloed CRMs; modernization projects carry migration risk and require developers who have handled messy, incomplete data before. 150 million properties are covered in the RentCast database alone, which gives a sense of the data scale involved.

Determine which data sources the developer will need to work with: public property records, third party APIs (zoning, tax assessor, listing feeds), live IoT sensor data. If the project involves finance or lending, factor in regulatory constraints such as CCPA, GDPR, or local housing codes.

Team Structure and Engagement Model

Decide what roles you need. A full stack developer with ML and AI capability is rare at the senior level. More commonly, you will need a backend engineer paired with a front end specialist and a data engineer, or a small pod that covers all three. Consider pairing technical hires with domain experts from your legal, operations, or real estate teams.

In House vs. Dedicated Remote Talent

In house hires give you tighter control and deeper institutional knowledge. But salary, benefits, and local market constraints make them expensive. For context, real estate agents earn an average salary of $96,972 per year, mortgage brokers average $156,479, and property managers average $56,009. Senior PropTech developers in the U.S. with five to eight years of experience typically command $150,000 to $200,000 in base compensation, plus benefits.

Remote or dedicated talent (nearshore or offshore) can reduce costs and scale faster. A Paris based PropTech company hired a full stack AI team remotely at roughly $26,300 per month for four seniors, compared to approximately $75,000 per month for local hires. That is around 65% in savings, and the team shipped its product in eight weeks. The tradeoff: timezone coordination and communication overhead require deliberate process design.

Writing a Job Description That Attracts the Right Candidates

A generic "senior developer" posting will attract generic developers. A strong job description for a property sector developer covers four elements:

  • Mission. State the business problem. "Build the valuation engine that powers investor acquisition decisions" or "modernize legacy portfolio management tools used across 10 states" tells a candidate exactly what they will own.
  • Stack and context. List the languages, frameworks, data sources, cloud platforms, AI or ML requirements, third party APIs, and domain constraints (zoning, regulation, spatial data, IoT). Utilizing industry specific job boards can improve candidate sourcing for property roles when this context is clear.
  • Team structure. Describe who the hire reports to, which cross functional teams are involved (product, operations, legal, data), and whether the role is leadership or execution.
  • Growth and impact. Define expected outcomes (faster feature delivery, cost savings, user growth, operational efficiency) and opportunities to move into leadership or expand scope. There are 20 types of real estate jobs available in the broader industry; showing a career path matters.

Professional designations such as CPM (Certified Property Manager) or ARM (Accredited Residential Manager) can enhance property management hiring decisions when evaluating candidates with hybrid business and technical backgrounds. Proper licensing is also essential for property management professionals in many states, especially for roles that touch tenant screening, lease execution, or financial reporting.

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

How to Find, Vet, and Onboard the Right Developer

Sourcing and Vetting Candidates Who Can Actually Do the Work

Where to Source Candidates

Standard job boards will produce volume, but most applicants will lack domain exposure. Better options include PropTech communities and forums, real estate software conferences, and vetted talent networks that pre screen developers for property domain experience. If you need custom software development for a property platform, working with a delivery partner who already maintains a bench of senior PropTech talent cuts weeks off the search.

14 to 17 million individuals own at least one rental property in the U.S. The software serving this market is growing fast, and so is competition for developers who understand it. Candidates should undergo rigorous background checks in property management roles, and hiring firms should verify candidates' insurance and bonding status when the role touches sensitive financial or tenant data.

How to Vet Beyond the Resume

Resumes tell you where someone worked. They do not tell you whether the person can model a lease escalation across multiple states or integrate a mapping API under production constraints. Use these steps:

  • Technical screening. Assign a take home project that mimics a real PropTech problem: build a mini valuation model, process a geospatial dataset, or integrate an external property data API. This verifies hands on capability, not textbook knowledge.
  • Problem solving interview. Present a real business case. Example: "You manage leases across different states. How would you model escalation clauses, cap rates, and compliance requirements?" Listen for how the candidate breaks the problem into components and identifies edge cases.
  • Domain knowledge check. Ask about familiarity with the housing market, real estate finance, local market knowledge, zoning, and regulatory environments. A candidate who dismisses compliance as "not a technical problem" will cost you later.
  • Culture and communication fit. Especially for remote or hybrid work, assess whether the candidate can explain technical decisions to nontechnical stakeholders (operations, legal, business teams). Effective communication and responsiveness are key traits for property professionals at every level.

Real time alerts can help track rental portfolio performance, and your developer should be able to discuss how such features are architected, not just coded.

A 30/60/90 Day Onboarding Plan That Reduces Ramp Time

Hiring is half the problem. The other half is making sure your new developer delivers value before momentum stalls.

First 30 days. Set up the development environment, provide structured domain training (property market basics, your product's business logic, relevant regulations), assign a mentor from the team, and give the developer a few small wins: bug fixes, minor features, documentation improvements. The goal is confidence and context, not heroics.

Days 31 through 60. Move toward deeper integration. Assign ownership of a module or feature area. Involve the developer in product planning sessions and create direct touchpoints with business units (operations, leasing, finance) so they understand how end users interact with the software.

Days 90 and beyond. By this point, the developer should contribute to the product roadmap, propose architecture improvements, flag technical debt, and potentially lead sub projects. If you are building for real estate investors or managing rental properties at scale, the developer needs to operate with full business context, not just write code.

Retention. Regular feedback cycles, clear impact metrics, opportunities to learn (AI, ML, spatial technology), and a path toward leadership or specialization (DevOps, data engineering) keep strong hires from leaving. Compensation alone does not retain senior talent; visible impact and growth opportunities do.

How to Evaluate Candidates and Choose the Right Partner

Warning Signs and Positive Indicators During the Interview Process

Red flags:

  • Strong coding skills but zero exposure to property, financial modelling, or geospatial data. The risk is that they will miss domain specific pitfalls that only show up in production.
  • Overly theoretical backgrounds with long academic CVs but no production systems or experience working with messy, real world data.
  • Dismissing regulatory or compliance requirements as "bureaucratic" or irrelevant. In the property sector, regulations are a core product constraint, not an afterthought.
  • Inability to explain tradeoffs. Pushing trendy frameworks or tools without understanding cost, maintenance, or performance implications signals a lack of senior judgment.

Green flags:

  • Direct experience building PropTech systems or modules: valuation engines, leasing platforms, property marketplaces, smart building integrations. Not just generic web applications.
  • Demonstrated ability to integrate with external systems, mapping services, or work with geographic and spatial data at scale.
  • Financial modelling fluency. A developer who can articulate how design decisions affect revenue, costs, risk, and return on investment will make better architectural choices.
  • Clear, jargon free communication with business and operations teams. The ability to translate domain concepts into software requirements (and vice versa) separates a senior hire from a mid level one.

Why Working with SoftDoes Removes the Guesswork

SoftDoes provides access to senior developers who are already vetted for PropTech domain knowledge, which reduces onboarding friction from months to weeks. The team delivery model means you get a coordinated group (not isolated freelancers) with built in redundancy and knowledge sharing. If a hire is not the right fit or your project scope changes, SoftDoes offers replacement and scaling guarantees that protect your investment. Engagement models range from a single dedicated specialist to a full development pod covering front end, backend, data, and design. For companies that have already explored hiring public sector developers and want to expand into property technology, SoftDoes bridges the domain gap without starting the search from scratch.

Ready to Hire a Property Sector Developer?

If you have felt the cost of a wrong hire (delayed launches, budget overruns, software that does not fit your market), the next step is a focused conversation. Schedule a discovery call to map your PropTech requirements, align on scope and engagement model, and get a clear estimate. No long commitment required to start.

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