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Hire remote Asp Net Core Developer

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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What our Asp Net Core Developers can build

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How to hire a Asp Net Core Developer

01
BROWSE PROFILESRIGHT NOW

Fill out a short form and see who's on the bench. Real profiles, verified histories.

02
Interview1-3 DAYS

Tell us what you need. We propose two or three candidates from the bench; you interview them directly.

03
OnboardWEEK ONE

Your engineer starts on your project. Contract, payments, and the guarantee run through us.

US VS. THE DATABASE

Time to Start
Talent Quality
Technical Vetting
Flexibility
Operational Overhead
Cost Efficiency
cursor
<SoftDoes>
Time to Start
1-2 weeks
Talent Quality
Senior-only engineers
Technical Vetting
Multi-stage screening
Flexibility
Scale up or down anytime
Operational Overhead
As managed as you want
Cost Efficiency
Competitive, fee-free
Talent Marketplaces
Time to Start
1-3 months
Talent Quality
Mixed experience levels
Technical Vetting
One screen, then gone
Flexibility
Contract restrictions
Operational Overhead
Partially managed
Cost Efficiency
Agency markup
In-House Hiring
Time to Start
2-6 months
Talent Quality
Depends on market
Technical Vetting
Internal responsibility
Flexibility
Long-term commitment
Operational Overhead
Fully internal
Cost Efficiency
Highest total cost

Frequently Asked Questions

Everything you need to know about deploying, scaling, and securing your neural agents with SoftDoes. Can’t find an answer?

How long does it take to hire an Asp Net Core Developer through SoftDoes?

SoftDoes can deploy a dedicated net core developer to your team in as little as one week. The process begins with a strategic technical assessment to map your architecture requirements and performance needs, followed by precision matching against our pre vetted talent network. Because our senior developers have already passed rigorous technical and behavioral evaluation, you skip the months of screening and interviewing that traditional recruitment demands. Most clients have their new hire contributing to production within the first sprint cycles.

What does it cost to hire an Asp Net Core Developer?

Costs vary based on seniority, engagement model, and project scope. ASP.NET developers can be hired for $22 to $90 per hour depending on experience and location. In the US market, average base salaries for asp.net developers sit around $113,000 per year, with top earners exceeding $130,000. Senior contractors in Western markets often command $120 to $180 per hour. SoftDoes works with you to model total development costs, factoring in overhead, benefits, and the hidden expense of a bad hire, so you can make an informed investment decision rather than guessing.

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

SoftDoes offers three engagement models tailored to different business needs. The dedicated hire model places full time asp.net core developers on your long term projects, fully integrated with your team. The fixed based model provides detailed project estimation and a delivery roadmap for well scoped initiatives. The FLEX model allows part time engagement during peak periods, giving you access to net experts without committing to full time overhead. Each model includes engineering led oversight to ensure code quality and alignment with your technology stack.

How do you ensure time zone alignment with an Asp Net Core Developer?

SoftDoes is a North America focused partner, meaning our net developers operate within overlapping time zones across the US and Canada. For every engagement, we establish core collaboration hours, leverage asynchronous communication tools, and build documentation driven processes that keep your development process moving regardless of minor time differences. This ensures your team can collaborate in real time during critical decisions while maintaining flexibility for deep focus work.

How does SoftDoes technically vet an Asp Net Core Developer?

Our vetting pipeline mirrors the battle tested framework outlined in this guide. Every candidate passes a portfolio and production experience review, a conceptual technical screen focused on real world ASP.NET Core scenarios (middleware, dependency injection, performance tradeoffs), a hands on architecture and code review exercise, and a behavioral evaluation for communication under pressure. We assess mastery of core concepts including routing and middleware, RESTful API design, entity framework, SQL Server, cloud services deployment, and security best practices. Fewer than 3% of candidates make it through. Developers must ensure code quality through unit testing and reviews as a baseline expectation, and familiarity with CI/CD pipelines and cloud services is required for any senior placement.

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

SoftDoes provides a zero risk replacement guarantee. If a developer does not meet your performance expectations, we replace them at no additional cost and with no delays. For scaling, you can add or reduce net programmers based on evolving project demands without renegotiating contracts or navigating traditional HR processes. We also ensure continuity through documented knowledge transfer, so scaling down never means losing institutional knowledge. Whether you need to ramp up for a major migration or wind down after a launch, SoftDoes gives you the flexibility to match your engineering investment to your actual business needs.

The Executive Guide to Hiring an Asp Net Core Developer

A single bad hire at the senior engineering level can drain six figures in wasted salary, onboarding, and lost project momentum before you even realize the mistake. Multiply that by the downstream cost of architectural decisions made by the wrong person, and you are looking at delays that ripple across quarters. This playbook gives you a field tested strategy to define, vet, and onboard top tier Asp Net Core Developer talent, built from real lessons running enterprise delivery teams across North America.

What Actually Separates a Great Hire From an Expensive Mistake

The True Scope of Senior Asp Net Core Developer Talent Beyond Writing Code

Most hiring managers confuse "knows C#" with "can own a production system." The gap between an order taker and a senior ASP.NET Core developer who drives outcomes is enormous. Here is what genuine senior net developers do daily that separates them from the rest:

  • Own the full request lifecycle end to end. They understand middleware pipeline ordering, dependency injection lifetimes (transient, scoped, singleton), hosting models, and configuration systems. They know that a misplaced middleware call silently breaks authentication, and that a DI lifetime mismatch causes data corruption in production environments.
  • Manage data layer complexity with precision. Deep technical expertise in Entity Framework Core query optimization, avoiding N+1 database queries, choosing between ORM and raw SQL, handling migrations, and leveraging async/await for performance. Knowledge of EF Core and migrations is non negotiable for database handling at scale.
  • Build for security, reliability, and compliance. Implementing authentication mechanisms with OAuth 2.0 and JWT, enforcing secure coding practices (practical knowledge of SQL injection and CSRF, OWASP Top 10), structured logging, monitoring, and disaster recovery. A good ASP.NET Core developer should understand essential security practices as a baseline, not an afterthought.
  • Architect for cloud native environments. Containerization (Docker, Kubernetes), deployment on cloud platforms like Microsoft Azure, AWS, or GCP, CI/CD pipelines, microservices design, API versioning, and event driven architecture. ASP.NET Core supports cloud native application development, and your hire must prove fluency here.
  • Lead with judgment, not just technical skill. Code reviews, mentoring junior net engineers, estimating work, making trade off decisions between delivery speed and technical debt, and communicating clearly with product and operations executives. Senior developers must push back on bad requirements and participate in roadmap planning.
  • Stay current with the evolving net ecosystem. As of now, .NET 10 is the current Long Term Support version, and 20.7% of developers use .NET 8+ regularly. Candidates locked into the older net framework without up to date ASP.NET Core fluency create maintenance overhead.

The Business Case: Financial and Operational Impact of Getting This Right

Placing the right senior net core developer generates concrete, measurable ROI vectors that every CTO should model before committing budget:

  • Technical debt reduction. Proper architecture and clean code practices can halve future code refactoring overhead, reducing outages and ongoing support costs. Custom .NET development can reduce operational costs by up to 50% when implemented correctly.
  • Faster deployment cycles. With CI/CD, automated unit testing, and sound design, lead time from idea to production shrinks. Quicker customer feedback, lower defect rate, fewer emergency bug fixes.
  • Infrastructure optimization. Cloud wasted spend reduced through auto scale, efficient resource usage, optimized database queries, and correct caching layers. ASP.NET Core improves response times and reduces server load, and optimizing queries can dramatically enhance application performance.
  • Risk mitigation. Security vulnerabilities, scalability failures, and compliance lapses all cost more than the upfront investment in senior talent. The right hire anticipates risk before it becomes an incident.

Laying the Groundwork Before You Start the Search

Auditing Your Technical Constraints Before Talking to a Single Candidate

Before you post that job or engage recruiters, audit what you are actually trying to solve. Skipping this step is how engineering leaders end up with a technically competent person solving the wrong problem.

Architecture and Debt Audit

What problem must this hire solve first? Be specific:

  • Migrating a monolith to microservices?
  • Modernizing legacy applications from the older net framework to the latest net core applications? Migrating legacy systems to newer frameworks improves performance and extends their useful life.
  • Building a greenfield product with cloud ready requirements? ASP.NET Core is used for developing cloud ready applications, and your hire must have that orientation.
  • Fixing performance bottlenecks or concurrency issues in existing systems?
  • Dealing with compliance and regulations that demand secure applications, logging, and audit trails?

Legacy applications can increase maintenance costs significantly. Modernization includes integrating modern tools into legacy systems, and code refactoring is a key part of that process. Knowing which of these is your priority shapes the ideal candidate profile, the required technology stack, and the necessary seniority level.

Team Dynamics and Autonomy Level

Decide whether your net core developer will be an embedded specialist within a large development team or operate more independently in a dedicated pod. This distinction directly affects how you vet for leadership, communication, and ownership. A dedicated pod demands someone who can take full ownership of a net project, including architecture decisions, deployment, and cross functional coordination. An embedded role requires strong collaboration and the ability to seamlessly integrate with existing workflows and an agile software development process.

Deployment Model Dynamics

Compare the friction of hiring net developers in house against working with a vetted dedicated remote talent partner. In house FTEs give you more control but carry higher overhead: benefits, management, retention risk, and a hiring process that can stretch for months. Remote or partner based models reduce administrative burden but risk misalignment unless rigorously managed. The best partners, like SoftDoes, mitigate that risk with engineering led oversight and a zero risk replacement guarantee, giving you the flexibility to scale up or down without the traditional HR drag.

Engineering the Ideal Profile, Not a Generic Job Description

Generic job descriptions are money drains that attract generic candidates. Define these four essential profile components before you write a single line of your posting:

  1. Core outcome and mission. What business problem are they solving? Frame it as: "Lead redesign of billing system to support millions of users with sub 200ms web API latency," not "build ASP.NET Core APIs." That outcome sets expectations and attracts people who think in terms of business needs, not just development tasks.
  2. Technical stack reality. Which .NET version? EF Core or another ORM? Microservices vs. monolith? Cloud platform (Azure, AWS)? Containerization tools? Messaging systems? Identity systems? Performance requirements? Strong C# fundamentals including generics, LINQ, and async/await are table stakes. Proficiency in ASP.NET Core requires knowledge of web APIs, MVC/Razor Pages, routing and middleware, and RESTful API design. ASP.NET developers should master C# and object oriented programming. Define clearly so you do not hire someone strong in net MVC but weak on cloud services or microservices.
  3. Decision making authority. Will this person make architectural decisions, own infrastructure choices, mentor juniors, and prioritize tasks? Or just code on direction given? Senior roles demand ownership. Expect evidence in interviews.
  4. Growth trajectory and cross functional exposure. Do they need to grow into a lead or architect role? Are they expected to interface with product, operations, security, and compliance? Businesses in finance, healthcare, and e commerce often need compliance awareness alongside technical net expertise. Clarify it up front.
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Vetting Candidates and Setting Them Up to Succeed

A Battle Tested Framework for Technical Evaluation

Sourcing Reality

Traditional recruiters often deliver volume but not depth. You get stacks of resumes from asp dot net developers who can talk through a textbook but freeze when faced with a real production problem. Effective hiring for ASP.NET Core developers should focus on real world scenarios, not certification lists or keyword matching.

Pre vetted engineering talent networks and boutique partners can deliver strong senior core developers faster, with less risk. Hiring through vetted talent platforms ensures access to pre screened developers who have already passed rigorous technical evaluation. Fewer than 3% of candidates are selected for net developer roles through the most rigorous platforms. Over 1,000 tech experts have been hired through these models for various projects.

When you evaluate a partner's vetting claims, ask how they test live code, architecture reasoning, and security awareness. A Microsoft Certified Professional Developer or Microsoft Certified Technology Specialist credential might indicate baseline competence, but it never replaces demonstrated production experience.

Technical Evaluation Pipeline

A four stage pipeline consistently produces the best signal to noise ratio:

  • Stage 1: Resume and portfolio review. Look for production experience with enterprise systems, longevity on real net applications, cloud exposure, and evidence of ownership. Reject early candidates who show only trivial apps or proof of concepts. 21.3% of developers work extensively with ASP.NET Core; you want those who have used it on high performance, high stakes projects.
  • Stage 2: Conceptual technical screen (30 to 45 minutes). Ask deep scenario questions: middleware pipeline ordering, dependency injection lifetimes, performance tradeoffs, choosing between synchronous and asynchronous patterns, scaling decisions. Dependency injection is a core concept in ASP.NET Core; candidates who cannot discuss it fluently are not senior. Focus on communication of trade offs, not rote definitions.
  • Stage 3: Hands on challenge and architecture design exercise. Use code samples, refactoring exercises, and system design problems (rate limiter, notification service, payment gateways integration). Have the candidate perform code reviews on intentionally flawed code. Unit testing and integration testing should be distinguished clearly in their approach. Assess decisions, not trivia. This is where you surface real net stack depth.
  • Stage 4: Behavioral and culture fit under pressure. Ask about past failures, system outages, trade off decisions, mentoring experiences, and pushing back on bad specs. Evaluate their ability to explain technical business logic to non technical stakeholders. A developer who cannot articulate risk to your VP of Product will create communication debt.

A Frictionless Ramp Up Protocol for the First 90 Days

Hiring is only half the battle. The first 90 days determine whether your investment pays off or whether you are back to square one. Use this milestone driven approach:

  • Days 1 through 30: Immersion and orientation. Onboard the codebase, architecture, tooling, and deployment pipelines. Shadow the existing development team, handle small development tasks and bug fixes. Define performance metrics and product goals. Begin understanding the business domain, security and compliance constraints, and the project scope.
  • Days 31 through 60: Ownership and contribution. Take ownership of a subsystem. Execute a small project end to end. Suggest architecture improvements, refactor critical parts with mentor support. Integrate fully into CI/CD pipelines and production environments. This is where performance validation happens: can they ship quality code independently?
  • Days 61 through 90: Leadership and measurable impact. Lead a major component or feature independently. Mentor juniors. Deliver measurable business value: reduced latency, lower bug count, improved system reliability, improved test coverage. Provide an architectural roadmap for future phases. By this point, your net core developer should be a force multiplier, not just a contributor.

The Final Decision: Signals That Matter in Interviews

Red Flags and Green Flags That Predict Long Term Success

Red flags that should stop you from extending an offer:

  • Cannot describe past mistakes or failures. Every senior developer has war stories. Candidates who dodge difficult topics lack the self awareness needed for high stakes software development.
  • Tool obsession over problem solving. More excited about framework and library names than trade offs, maintainability, and performance optimization. Knowing the latest technologies matters, but knowing when not to use them matters more.
  • Cannot explain trade offs. When to load eager vs. lazy, sync vs. async, microservice vs. monolith. If they cannot articulate why, they will make the wrong call when it counts.
  • Lack of system thinking. No awareness of deployment, monitoring, observability, error handling, scalability, or concurrency. A developer who builds web applications without thinking about how they run in production is a liability.

Green flags that suggest you can place a confident bet:

  • Pragmatic trade off analysis. Knows the defaults, then knows exactly when to deviate with clear reasoning. This is the hallmark of net experts who have shipped real systems.
  • Emphasis on reliability and data integrity. Prioritizes system integrity over bleeding edge tech. They care that net applications remain stable under load.
  • Proactive risk identification. Security, performance, scaling, and compliance concerns surfaced early, before they become expensive surprises. ASP.NET developers often implement secure authentication mechanisms and think about third party integration risk without being prompted.
  • Clear communication and outcome ownership. Both technical depth and the ability to explain decisions to product and operations leaders. They own outcomes, not just code.

Why SoftDoes Eliminates the Risk From This Entire Process

SoftDoes exists to remove the guesswork and the downside from hiring asp net core developers. As a North America focused custom software engineering and data and AI partner, SoftDoes delivers what traditional recruitment and freelance marketplaces cannot:

  • Battle tested senior talent with a proven track record. Every developer in our network has been vetted through the rigorous pipeline described above. We deploy skilled resources with enterprise scale net development experience, not junior developers learning on your dime.
  • Engineering led delivery oversight. Your hired trial resource works under real engineering leadership, ensuring code quality and architectural consistency. This is not unmanaged freelancing; it is structured net development services with accountability.
  • Rapid deployment capability. Hiring a dedicated .NET team can take just one week. Your net programmers begin contributing to production within the first sprint cycles.
  • Flexible scaling without overhead. Scale your development team up or down based on business needs, without the friction of traditional hiring. Three engagement models are available for hiring ASP.NET developers through SoftDoes.
  • Zero risk replacement guarantee. If a developer does not meet your standards, we replace them. No debates, no delays.

Custom software development uses ASP.NET for high performance applications, and ASP.NET supports building scalable web applications with dynamic features. Whether you are building modern apps, mobile applications, secure web applications, or migrating existing applications to cloud ready architectures, SoftDoes matches you with net talent who has done it before.

Your Next Move

Every week you spend searching with the wrong process is a week your competitors are shipping. If you are ready to stop burning budget on hiring uncertainty and start scaling engineering output with pre vetted, production ready asp.net core talent, book a technical discovery session with SoftDoes architects. We will map your requirements, match you with senior developers who fit your net stack and culture, and get them contributing within days, not months.

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