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Hire remote Software Architect

Discover developers that match your project requirements.

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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What our Software Architects can build

Not sure which engagement model fits?

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

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RIGHT expert, FASTER

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How to hire a Software Architect

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 Software Architect through SoftDoes?

The average hiring timeline for senior technical roles through independent recruitment often stretches to six to eight weeks or longer, especially when factoring in multi stage interviews, background verification, and access provisioning. Working with a vetted talent delivery partner like SoftDoes typically compresses this to three to five weeks from initial request to candidate start. The exact timeline depends on the specificity of your requirements, but the pre vetting process eliminates the longest bottleneck in traditional hiring: sourcing and screening qualified candidates from scratch.

What does it cost to hire a Software Architect?

Compensation for remote software architects varies based on experience, domain specialization, and geographic location. For remote startup roles, average base salaries sit around US$135,300 per year, with ranges spanning from approximately US$60,000 to US$240,000. In enterprise and regulated industry settings, mid to senior architects typically command base salaries of US$150,000 or more, with upper ranges exceeding US$200,000 in high cost of living areas or high risk sectors. Beyond salary, factor in costs for remote work tooling, cloud accounts, onboarding, equipment, and any legal or compliance requirements for international hires. Perhaps the most significant cost to consider is the cost of delay or rework if architecture is defined poorly from the start.

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

SoftDoes offers several engagement models to match different project needs. A dedicated remote hire places one full time architect embedded in your team, functioning like an internal employee with full availability and deep alignment. A fractional or contract model engages an architect for specific periods or tasks, such as a cloud migration or architecture review, offering more flexibility at a lower commitment. A team or pod model pairs a lead architect with supporting software engineers dedicated to your project, providing broader coverage, scale, and shared risk. Finally, a consulting or advisory model provides architecture review, design oversight, and strategic recommendations without direct implementation responsibility. Each model can be adjusted as your needs evolve.

How do you ensure time zone alignment with a Software Architect?

SoftDoes prioritizes candidates in overlapping time zones, typically within a three to four hour offset from your core team, to ensure meaningful real time collaboration. Core overlapping hours are defined for meetings and synchronous design discussions, while flexibility is maintained outside those windows for deep focus work. Remote collaboration tools that support asynchronous workflows, such as documented ADRs, shared dashboards, and recorded video walkthroughs, reduce dependency on simultaneous availability. Expectations around response times, meeting attendance, and availability windows are set explicitly during onboarding to prevent friction.

How does SoftDoes technically vet a Software Architect?

SoftDoes uses a multi stage vetting process designed to go far beyond resume screening. Candidates are first evaluated for stack relevance and domain fit. They then complete system design exercises that test their ability to navigate ambiguity, evaluate trade offs, and propose scalable architecture for realistic scenarios. A code review component assesses how they critique for maintainability, security, and performance. Reference checks focus specifically on delivery outcomes, architectural leadership, and stakeholder communication in previous roles. Throughout, evaluators assess communication effectiveness, mentoring capability, and the candidate's demonstrated ability to influence technical decisions across an organization. Structured scorecards ensure consistency across all evaluations.

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

SoftDoes provides replacement guarantees. If the initial hire does not meet expectations after a reasonable ramp up period, a replacement is provided without restarting the entire hiring process from zero. Flexible engagement models also allow you to scale up by bringing in additional architects or engineering leads, or scale down by shifting to an advisory or review capacity as the project matures. Built in exit ramps ensure continuity through handover artifacts, documentation, and knowledge transfer, so your team is never left without the context it needs to keep moving forward.

How to Hire a Software Architect

Hiring the wrong software architect can set your product back by months, drain your budget on rework, and leave your engineering team stuck with a fragile system nobody wants to maintain. The right hire, on the other hand, accelerates delivery, reduces technical debt, and gives your business a scalable foundation for growth. This guide walks you through the entire process: understanding what the role actually requires, preparing your organization, sourcing and vetting candidates, and making a confident final decision.

What a Software Architect Really Does and Why the Role Matters

The Evolving Role: What a Software Architect Actually Does

A software architect is the senior technical leader responsible for designing and governing the structure of your software systems. They translate business requirements, scalability requirements, security mandates, and performance targets into concrete architectural decisions. They define system boundaries, select the technology stack, establish coding standards, and set the guardrails that development teams follow during implementation.

In practice, a great software architect spends their day on tasks that sit at the intersection of technical depth and strategic leadership:

  • Reviewing and approving system designs and architectural decision records (ADRs), especially on cross cutting concerns like microservices boundaries, data flows, and role based access control.
  • Participating in sprint planning and stand ups for projects that touch critical risk areas such as security, cloud infrastructure, or compliance.
  • Consulting with product managers and stakeholders to align the technical roadmap with feature priorities, business goals, and scope changes.
  • Monitoring operational metrics like latency, error budgets, and throughput to identify architectural bottlenecks before they become outages.
  • Defining and enforcing standards across API design, design patterns, coding skills, documentation, and security best practices.
  • Mentoring senior developers and engineering leads, helping them navigate trade offs and understand the reasoning behind technology choices.

Software architects must be proficient in multiple programming languages and comfortable operating across several aspects of the stack. Experience with cloud platforms like AWS and Azure is essential, as is deep knowledge of microservices architecture, which is increasingly important for companies building scalable solutions. They need strong problem solving and communication skills to bridge the gap between complex ideas and actionable plans. A software architect's role may involve coding, but the primary focus is on system design and technical guidance.

It is also worth noting that the title "software architect" can encompass specialized sub roles. A solution architecture lead focuses on combining business and technical design, often in client facing settings. An enterprise architecture leader handles cross system alignment and long term strategy. Cloud architects, data architects, and security architects bring domain specific depth. Understanding which flavor you need is the first step in hiring software architects effectively.

Why Hiring the Right Software Architect Is a Strategic Priority

The decision to hire a software architect is not a staffing exercise. It is a strategic investment in your product's future. Software development jobs are projected to grow four times faster than average, and demand for software architects is increasing rapidly due to digital transformation across various industries. Top companies compete aggressively for architects with proven expertise in cloud computing and scalable systems.

Here is what the right hire delivers in concrete business terms:

  • Faster time to market. A well defined software architecture reduces rework, resolves integration problems early, and keeps the software development process moving without costly detours.
  • Predictable costs and reduced technical debt. Clear architectural decisions around cloud strategy, infrastructure redundancy, and service boundaries prevent the budget overruns that come from accumulating quick fixes.
  • System reliability at scale. Better architecture avoids outages, improves availability, and supports user growth without exponential infrastructure spend. Companies increasingly hire software architects specifically for scalable software solutions.
  • Alignment between business objectives and technical execution. An experienced software architect ensures that every technology choice is grounded in a real business need, balancing innovation against risk, compliance against speed, and maintainability against feature velocity.

Software architects design and structure software systems, ensuring those systems meet both business and technical requirements. They create high level design choices and technical standards, and they guide development teams through critical decisions throughout projects. Without this leadership, engineering teams often default to short term fixes that compound into long term liabilities.

Defining What You Need Before the Hiring Process Begins

Before you write a single job posting, invest time in defining exactly what you need. Skipping this step is one of the most common and expensive mistakes in hiring software architects.

Project Scope and Requirements

Document the scope the architect will own. Is this a greenfield build or a brownfield modernization of legacy systems? What business domains are involved? What scale are you targeting in terms of users, transactions, and geographic reach? What non functional constraints apply, such as latency thresholds, compliance requirements like HIPAA or GDPR, or specific scalability requirements? These answers shape the experience profile you need and the trade offs your architect will navigate daily. Software architects must align software solutions with business needs, and you cannot evaluate that alignment unless you have documented what those needs are.

Team Structure and Engagement Model

Decide how the architect will interact with your existing engineering team. Will they lead a single team, coordinate across multiple teams, or serve in a consulting and oversight capacity? Clarify reporting lines, decision making authority, and how they will collaborate with project managers and product leads. For remote roles, define time zone expectations and collaboration tools upfront. Time zone and legal constraints significantly affect remote hiring processes, so address these early.

In House vs. Dedicated Remote Talent

Evaluate whether you need a full time in house leader, a remote but deeply embedded dedicated architect, or a fractional engagement through a delivery partner. Outsourcing software architecture offers cost savings and flexibility, and provides access to specialized expertise in software development that may not exist in your local market. Ukrainian software architects, for example, cost roughly 1.5 times less than American counterparts, and Ukraine ranks 5th globally for top programmers with a score of 93.17%. Companies also benefit from faster project timelines through outsourcing. However, remote hires require deliberate investment in communication, cultural alignment, and management practices to succeed.

Writing a Job Description That Attracts Top Software Architects

A generic software architect job description will attract generic candidates. To reach experienced software architects with a real track record, your posting needs to communicate four things clearly:

  • The Mission. Describe the business impact and project objectives. For example: "Lead the architectural transformation of our legacy monolith into a scalable, secure microservices platform to support rapid user growth." Candidates want to see that the role matters. Define specific organizational outcomes and challenges for software architect roles.
  • The Stack and Context. List the technologies, cloud platforms, frameworks, languages, DevOps tools, data stores, and monitoring systems in play. Include context about regulatory environments or compliance frameworks. Candidates should have experience with Agile, waterfall, and DevOps methodologies.
  • Team Structure and Reporting. Who does the architect report to? How many engineers or senior developers will they mentor? Which stakeholders, including product managers, security leads, and operations, will they influence? Be explicit about whether this is on site, remote, or hybrid.
  • Growth and Impact. Indicate what success looks like: reductions in latency, fewer outages, cost savings from cloud optimization, modernization milestones. Show how the role can grow in authority and strategic influence. Job descriptions should specify if the position is full time or contract based.
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How to Find, Vet, and Onboard Your Software Architect

Sourcing and Vetting Candidates the Right Way

Where to Find Top Software Architects

Your sourcing strategy should combine multiple channels to build a strong pipeline:

  • Vetted talent networks and delivery partners like SoftDoes pre screen candidates for enterprise experience, cloud depth, and leadership capability. Recruitment firms streamline candidate screening and onboarding, saving your hiring manager significant time.
  • Outbound recruiting through LinkedIn, tech communities, and professional networks targets passive candidates, often the most experienced software architects, who are not actively browsing job boards. Source candidates from specialized tech hubs where engineers actively share knowledge.
  • Job boards remain effective for hiring software architects, especially when your software architect job description is specific and compelling.
  • Internal promotion is worth considering when candidates already understand your business domains, codebase, and team culture.

How to Vet Beyond the Resume

A structured approach is essential in evaluating remote software architects. Resumes tell you what someone claims; vetting tells you what they can actually do.

  • System design interviews are the highest signal assessment for this role. Present a realistic architecture challenge relevant to your domain and observe how the candidate navigates ambiguity, identifies trade offs, and adapts when requirements shift. Avoid trivia questions and focus on realistic architecture challenges during interviews. Evaluating architectural influence is more important than purely design ability for architects.
  • Practical work samples separate strong candidates from polished interviewers. Assign practical take home architecture challenges to assess risk analysis skills. A paid, sanitized version of a real task from your codebase is ideal. Review anonymized samples of past architecture artifacts to verify hands on capabilities.
  • Code review exercises reveal how an architect thinks about maintainability, security, and optimal performance. Give them a pull request with deliberate issues and evaluate their critique. Use hands on coding components when hiring architects who will also write code.
  • Behavioral and leadership assessment. Behavioral questions can reveal an architect's influence over design decisions. Evaluate how architects manage technical disagreements and mentor mid level developers. Assess their soft skills, their demonstrated ability to explain complex ideas to non technical stakeholders, and their approach to mentoring teams.
  • Structured scorecards. Implementing a standardized scorecard can improve the interview assessment process and help assess candidates consistently across various competencies.
  • Reference checks. Verify candidates' claimed experiences to ensure authenticity in senior architect roles. Focus references on delivery outcomes, leadership under pressure, and stakeholder alignment.

Remote software architects must write comprehensive Request for Comments and design blueprints, so pay attention to their written communication during the process. Assessing communication effectiveness is essential for remote architecture roles, where decision making without constant synchronous discussion is crucial. Developers should prioritize asynchronous communication in remote architecture roles.

Setting Your New Architect Up for Success: A 30/60/90 Day Plan

Onboarding a remote software architect requires more intentionality than bringing someone into an office. Done well, it accelerates contribution and dramatically improves retention.

First 30 Days: Learn the Landscape

Ensure all remote tools, repository access, cloud accounts, and architecture artifacts are provisioned before day one. The architect should spend this period in deep orientation: understanding the existing software systems, technology stack, codebase, and team norms. Schedule introductions with cross functional leads across product, security, and operations. Assign small, safe initial deliverables, such as a review of a specific system component or incremental architectural suggestions. Pair them with a mentor or "buddy" who can help navigate informal context.

Days 31 to 60: Start Contributing

The architect begins owning small architectural initiatives, introducing dialogue with development teams about trade offs, and drafting initial design proposals through ADRs. They should be visible in code reviews and sprint discussions, building credibility and relationships. Over communicate during this phase: video calls for major discussions, regular check ins, and rich written documentation.

Days 61 to 90: Lead and Shape Direction

By this stage, the architect should be leading larger design reviews, defining technical roadmap items, and setting priorities around technical debt, performance optimization, and scaling. They should be mentoring teams, influencing architectural patterns across the organization, and making their impact visible to leadership.

Early wins matter. Ensure the architect can deliver something tangible and visible to the organization early, even if small, so their value is clear to stakeholders. Establish feedback loops through periodic check ins to catch signs of misalignment early and to assess workload, fit, and engagement.

Making the Right Hiring Decision

Red Flags and Green Flags When Hiring a Software Architect

After interviews are complete, calibrate your decision against these signals.

Red Flags:

  • Vague trade off reasoning. The candidate gives textbook answers about architectural patterns but cannot explain specific trade offs from past architectural decisions, or why they chose one approach over another in a real project.
  • Breadth without depth. A resume listing dozens of tools but no evidence of ownership over systems architecture at meaningful scale. No context of failures, lessons, or evolution.
  • Poor communication. Inability to explain technical decisions clearly to non technical stakeholders, or inability to translate business needs into system requirements. This is especially critical for remote roles.
  • Resistance to collaboration. Unwillingness to adapt architecture to team constraints or project goals. Overly dogmatic attachment to specific tools or frameworks, regardless of context.

Green Flags:

  • Led systems through major evolution. Has migrated a monolith to microservices, managed cloud architecture at scale, or navigated complex regulatory and compliance requirements. Extensive experience with real transformations, not just theoretical knowledge.
  • Documents decisions rigorously. Maintains architectural decision records, design artifacts, and technical standards. This signals both discipline and the ability to create flexible, maintainable systems.
  • Deep and relevant stack knowledge. Strong command of cloud infrastructure, API design, security practices, and data architecture relevant to your business domains. Understands both cloud based and on premises systems.
  • Elevates the people around them. Someone respected by peers who provides technical guidance, mentors other architects and software developers, and raises the bar for the entire engineering team. A track record of influence, not just individual contribution.

Why Partnering with SoftDoes Gives You an Edge

Hiring a freelance software architect through a generic marketplace or running a months long internal search both carry significant risk. Isolated freelancers often lack integration with your team. Lengthy internal searches delay your project's success. And a bad hire at the architecture level creates technical debt and rework costs that far exceed any salary savings.

SoftDoes operates as a North America focused software engineering and talent delivery partner serving clients across the US and Canada. The model is designed to eliminate the most common failure points in hiring software architects:

  • Pre vetted senior talent. Every architect in the network has been evaluated through multi stage technical screening, system design challenges, code reviews, and reference verification. You get top software architects with proven expertise, not candidates who simply interview well.
  • Team delivery model, not isolated contractors. Architects are embedded in your workflows, participating in design reviews, sprint planning, and cross functional alignment. This is the opposite of a freelance software architect who delivers a document and disappears.
  • Replacement and scaling guarantees. If the first hire is not the right fit, SoftDoes provides a replacement. If your needs grow, you can scale from a single specialist to a full pod with supporting engineers and project management.
  • Flexible engagement models. Dedicated hire, contract, team pod, or consulting and advisory. Choose what matches your current stage and adjust as project objectives evolve.
  • Alignment with regulated and complex environments. Clients in finance, healthcare, and other compliance heavy sectors need architects who understand the stakes. A mistake in systems architecture in these domains means security exposure, regulatory penalties, or costly downtime.

Demand for software architects is projected to grow significantly, and competition for experienced software architects with over a decade of experience will only intensify. Working with a delivery partner who maintains a curated talent network lets you move faster without sacrificing quality.

Ready to Hire a Software Architect?

If you are a CTO, VP of Engineering, or product leader who needs senior architecture leadership without the months long recruitment cycle, the next step is simple. Schedule a consultation with SoftDoes to define your requirements, review pre vetted candidates, and get your architect contributing within weeks, not months. Whether you need a dedicated hire for a long term initiative, a pod for a large scale system redesign, or strategic advisory to validate your technical roadmap, SoftDoes can match the engagement to your business needs.

Reach out today. Stop losing time to open headcounts and start building on a foundation that scales.

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