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Hire remote Solution Architecture Developer

Discover developers that match your project requirements.

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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What our Solution Architecture Developers can build

Not sure which engagement model fits?

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

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RIGHT expert, FASTER

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How to hire a Solution Architecture Developer

01
BROWSE PROFILESRIGHT NOW

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

02
Interview1-3 DAYS

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

03
OnboardWEEK ONE

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

US VS. THE DATABASE

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

Frequently Asked Questions

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

How long does it take to hire a Solution Architecture Developer through SoftDoes?

Standard hiring processes for senior solution architecture roles typically run six to ten weeks from job opening to accepted offer when done entirely in house. SoftDoes compresses this significantly because we maintain an existing pool of deeply vetted architects ready for engagement. Depending on role specificity, technology stack, and domain constraints, most clients go from initial conversation to an architect working on their project in three to six weeks. Average time to match a solutions architect is under 24 hours for initial candidate presentation.

What does it cost to hire a Solution Architecture Developer?

Based on current U.S. market data, base salary for solution architect roles typically ranges from approximately $165,000 to $286,000 depending on seniority, location, and industry. Total compensation in senior roles, including bonus and equity, often exceeds $300,000. Remote or blended hiring models may adjust for cost of living differentials. Working with a delivery partner like SoftDoes includes recruitment, vetting, and infrastructure overhead, but often lowers total risk and hidden costs such as delays, architectural mistakes, rework, and missed compliance requirements compared to hiring entirely in house.

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

SoftDoes offers three primary engagement models. A dedicated hire places one senior solutions architect working full time with your team, ideal for ongoing complex architectures and long term ownership. The pod model bundles a lead architect with supporting roles in security, DevOps, and data as a unit, perfect for large, multi system initiatives requiring high throughput. Contract or fractional engagement works for short term needs like presales support, discovery phases, or specific migration projects. Each model is designed to deliver value without locking you into long term commitments that do not fit your project lifecycle.

How do you ensure time zone alignment with a Solution Architecture Developer?

SoftDoes focuses on North American clients and uses nearshore and time zone overlap models, primarily Eastern, Central, and Mountain time zones. We build several hours of core overlap into every engagement so your architect can join standups, architecture reviews, and stakeholder meetings during your working day. When hiring any remote solutions architect, we recommend including overlap expectations in the job description, specifying core hours and meeting windows, so communication and collaboration stay seamless.

How does SoftDoes technically vet a Solution Architecture Developer?

Our vetting process goes far beyond resume review. We conduct live project walkthroughs where candidates explain past systems they designed, including successes, failures, and trade offs. We run written architecture assessments tailored to the client's domain. We verify technical proficiency across the relevant stack, including cloud platforms, data engineering, integration patterns, and security. We test communication ability by having candidates present designs and explain trade off decisions to both engineering and business audiences. Finally, we collect references from peer engineers, product owners, and clients to verify quality of architecture documentation, delivery outcomes, and stakeholder alignment. 92% of solutions architect offers are accepted via our matching process, which speaks to the quality of fit we achieve.

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

SoftDoes offers replacement guarantees. If performance or fit is not adequate within an agreed period, we replace the architect or adjust the engagement model at no additional recruitment cost. Flexible scaling means you can add senior or junior experts as your project grows, or move to a lighter engagement as it winds down. We use clear operational metrics and frequent check ins to catch misalignments early, before they become costly problems. The goal is to eliminate the risk that typically comes with hiring at this level and give you confidence that your architecture investment is protected.

How to Hire a Solution Architecture Developer

Most companies lose months and six figures chasing solution architecture hires who look great on paper but stall in production. The right solutions architect compresses timelines, cuts infrastructure costs, and aligns your technical teams with real business outcomes from week one. This guide walks you through understanding the role, preparing internally, vetting candidates, onboarding effectively, and deciding whether a delivery partner like SoftDoes is the fastest path to the talent you need.

What a Solution Architecture Developer Actually Does (and Why the Role Keeps Evolving)

The Daily Reality of a Solutions Architect

A Solution Architect bridges the gap between business problems and technology solutions. They translate what the business needs into scalable technical solutions that engineering teams can build, ship, and maintain. Unlike an enterprise architecture leader who sets broad company strategy, or a cloud architect who focuses on infrastructure, the solutions architect operates at the intersection of business requirements and system design, responsible for making sure the final product is fast, safe, and easy to scale.

Here is what this role looks like in practice on any given day:

  • Translating business requirements into technical blueprints. Reviewing engineering questions around integration, data flow, and nonfunctional requirements such as performance, latency, scalability, and security. Business understanding allows Solution Architects to translate business needs into measurable technical requirements.
  • Creating and maintaining architecture artifacts. Producing architecture diagrams, decision records, and interface specifications. Strong solutions architects excel in technical writing, keeping documentation current as the solution design evolves.
  • Evaluating trade offs and making technology choices. Solution Architects evaluate existing architectures, choose the right tech stack and cloud providers, and assess trade offs such as speed vs. cost and innovation vs. risk. Choosing the right cloud environments and AWS services, for example, is crucial for long term viability.
  • Leading cross functional teams in project execution. Collaborating with product managers, security, platform and DevOps engineers, quality assurance, and operations to ensure implementation aligns with constraints. They often lead cross functional teams without micromanaging, guiding technical teams toward the established architectural vision and standards.
  • Balancing presales and delivery work. In presales, they frame requirements, define scope, and build proof of concepts. In delivery, they own low level design, environment strategy, performance modeling, and security. Solutions architects manage complex projects across multiple industries, often with multicultural teams.
  • Staying current on emerging technology. Evaluating vendor options, assessing AI capabilities and analytics solutions, and mitigating vendor lock in. A strong solutions architect continuously evaluates new solutions and patterns to keep your systems competitive.

The key skills that separate a senior architect from a mid level one: systems thinking (seeing how data, APIs, infrastructure, and UI interact), broad technical expertise across cloud operations and software engineering, the communication ability to explain complex technical concepts to nontechnional stakeholders, and disciplined decision record keeping.

Why This Hire Is a Strategic Priority, Not Just a Technical One

Getting this hire right delivers concrete, measurable value:

  • Faster time to market. Early architectural clarity avoids rework and delays during build and deployment. Standardized patterns and templates accelerate delivery. Solutions architects can save companies over $5 million in projects by preventing costly missteps.
  • Lower total cost of ownership. Selecting the right technology, avoiding overprovisioning, and planning for operational efficiency reduces infrastructure and maintenance costs. This is where hands on experience with application architecture and cloud infrastructure pays for itself.
  • System reliability and security. Careful solution architecture avoids performance bottlenecks, security vulnerabilities, and unmanaged technical debt. Risk management involves identifying bottlenecks, security vulnerabilities, or scalability limits before they become production incidents.
  • Scalable growth and future readiness. A well designed system supports growing traffic, AI solutions integration, new business processes, and regulatory changes without requiring a full rebuild.

Getting it wrong means the opposite: overengineered solutions, cost overruns, missed milestones, and misalignment between business stakeholders and technical teams that erodes customer success and organizational efficiency.

How to Prepare Internally Before Opening the Role

Clarifying What You Actually Need

Before you write a job description or engage a recruiter, get internal alignment on three dimensions.

Project Scope and Requirements

Identify whether the need is greenfield development, legacy modernization, cloud migration, AI and ML integration, or compliance heavy work. Different scopes demand different seniority and specialization. Define expected deliverables: high level architecture, proof of concepts, detailed low level design, migration plans, or performance and security requirements. Candidates should have shipped work in at least two projects of similar scope and complexity.

Team Structure and Engagement Model

Determine who the solutions architect will report to (CTO, VP of Engineering, enterprise architect) and which roles already exist on the team. Platform engineers, security specialists, data engineers, product managers, and dev teams all need clear touchpoints. Define how the architect will interact: embedded in a product team, part of a central architecture group, or operating within a consulting delivery pod. Assessing team collaboration ensures architects can guide teams without micromanaging.

In House vs. Dedicated Remote Talent

In house hires offer more control, alignment, and cultural fit, but come with higher cost, longer recruitment timelines, and retention risk. Dedicated remote talent through a partner like SoftDoes gives you access to a broader pool of senior expertise, flexibility to scale, and potentially lower total cost. The trade off is that you need to manage time zone alignment, communication norms, and knowledge transfer intentionally.

Writing a Job Description That Attracts the Right Candidates

A standout job description for a solution architecture developer covers four elements:

  • Mission. State clearly what this hire is expected to accomplish. Examples: "Lead architecture for migrating enterprise systems to AWS," "Define architecture governance across three product lines," or "Design scalable technical solutions for our growing AI pipelines."
  • Stack and context. Enumerate technologies, domains, infrastructure, scale, and compliance regimes. Include current cloud providers, expected traffic, data volume, relevant standards (HIPAA, PCI, FedRAMP), and front end and back end stacks.
  • Team structure. Describe the reporting line, cross functional stakeholders, decision making authority, and how the architect interacts with product, engineering, and executive stakeholders.
  • Growth and impact. Communicate career ceiling, influence over product direction, scope for increasing responsibility, and the opportunity to drive organizational efficiency at a company level.

Include required vs. nice to have skills, years of experience expectations, domain expertise, and examples of past project types. Be explicit about whether the role is presales, delivery, or hybrid so qualified applicants self select appropriately.

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The Complete Hiring and Vetting Playbook

How to Source and Evaluate Solution Architecture Talent

Sourcing Strategy

Use multiple channels: outbound recruiting, specialized architecture communities, referrals, and vetted talent networks. Standard outbound recruiting often takes months for senior roles. Vetted networks compress this because the screening has already happened. Be explicit about the architecture role subtype so candidates understand the scope before they engage. A solutions architect's role includes stakeholder management and technical writing, so source accordingly.

Vetting Beyond the Resume

Technical screening should go well beyond certifications and keyword matching. Here is what rigorous vetting looks like:

  • Past architecture walkthroughs. Ask the candidate to walk through two or three production systems they designed, including failures, trade offs, and what they would change. Architectural judgment involves explaining why certain approaches were chosen and the trade offs involved. A strong candidate for IT consulting and architecture roles will discuss these with specificity, not generalities.
  • Practical, real world design task. Candidates should complete a 90 minute paid take home assignment: a scenario similar to your actual needs (legacy system integration, cloud migration, building ML capabilities), producing a design document with high and low level architecture, infrastructure choices, and a security or compliance view.
  • Analytical, problem solving interview. Probe for how the candidate handles ambiguous trade offs, identifies risk, and aligns technical decisions with business goals. Technical expertise should include system design, data architecture, and cloud infrastructure. Solution Architects evaluate trade offs such as speed vs. cost and innovation vs. risk.
  • Culture and communication fit. Include discussions about communication style, stakeholder management, and realistic trade offs. Effective communication is vital for architects to align technical and business goals. You want someone who can balance engineering purity with speed and cost, not someone who insists on perfection at the expense of delivery.
  • Reference checks. Speak with peer engineers, product managers, and business stakeholders who received design documents and worked with the candidate during delivery.

Structured Onboarding That Accelerates Impact

Practical steps to ensure the new hire ramps up fast without friction:

  • Pre boarding. Ensure access to tools, repos, documentation, product overviews, architecture artifacts, and dev environments before day one. Structured onboarding templates help standardize this process.
  • Days 1 to 30 ("Learn"). Immerse in the business domain. Meet product, security, infrastructure, and dev teams. Review existing solutions and constraints. A new solutions architect should ship a small artefact by week one. Successful onboarding includes shadowing active workstreams in week two. By day 30, they should own a scoped slice of work.
  • Days 31 to 60 ("Contribute"). Lead a small architecture review or redesign. Propose improvements. Get involved in decision records. Begin owning a subsystem's architecture and influencing the backlog with architectural acceptance criteria.
  • Days 61 to 90 ("Lead"). Take ownership of a full solution design. Mentor others. Guide cross functional stakeholder discussions. Establish patterns and guidelines if missing. Deliver a visible, measurable outcome such as a performance improvement, cost saving, or reliability impact.

Pair the new hire with an architecture buddy who knows the historical trade offs, system wiring, governance norms, and organizational context. Run check ins at each 30/60/90 milestone with the manager and relevant stakeholders. Provide clarity on decision authority and internal architectural frameworks.

For retention, offer ownership, career growth, influence over the strategic architectural roadmap, and the kind of engagement model that supports autonomy. Solutions architects who feel their technical leadership matters will stay.

Spotting the Perfect Fit (and Avoiding Expensive Mistakes)

What to Watch For During Interviews

Red flags:

  • Vague architectural history. The candidate cannot articulate past design trade offs, cannot explain why they chose one approach over another, and avoids discussing failures or changes.
  • Tool obsession without business context. They list frameworks, AWS solutions architect certifications, and infrastructure tools but cannot map them to business objectives, scalability, or cost concerns.
  • Weak stakeholder communication. Difficulty explaining technical decisions to nontechnical stakeholders. A Solution Architect explains complex technical concepts to nontechnical stakeholders; if they cannot do this in an interview, they will not do it on your project.
  • Resistance to constraints. Avoids understanding existing solutions and tries to justify rebuilding everything rather than incrementally improving. Lacks adaptability in the context of business or regulatory constraints.

Green flags:

  • Track record at similar scale and domain. Complex cloud migrations, AI and ML integration, high throughput microservices, regulated workloads, legacy system modernization. Solutions architects should have experience in cloud integrations and stakeholder management.
  • Clear decision records. Ability to show architecture decision records, documentation, diagrams with trade offs, alternatives considered, and risk assessments. They connect business goals and practical technology solutions for project stakeholders.
  • Broad technical understanding plus targeted depth. Comfortable across the stack (data, backend, infrastructure, security) and able to dig deep on performance, latency, scaling, or regulatory compliance. Technical expertise should include system design, data architecture, and cloud infrastructure.
  • Effective cross functional collaboration. Demonstrated history of working with product, security, and operations. Able to lead architecture governance, communicate clearly to business stakeholders, and deliver measurable impact. They ensure teams adhere to established architectural vision and standards.

How SoftDoes Eliminates the Guesswork

SoftDoes is a North America focused software engineering and talent delivery partner serving clients across the US and Canada. Here is what that means for your solution architecture hire:

  • Pre vetted senior talent. Every architect in our network has been deeply screened, not just on resumes but through live project walkthroughs, design assessments, and reference checks. We evaluate technical depth, communication capability, and business alignment before a candidate ever reaches you.
  • Team delivery model. We deploy pods (architect plus supporting specialists in security, DevOps, data) rather than isolated freelancers. This ensures knowledge transfer, peer review, shared standards, and no single points of failure.
  • Replacement and scaling guarantees. If the hire is not the right fit, or your project scope changes, SoftDoes adjusts. Scale up with additional experts or scale down to a lighter engagement depending on project phase.
  • Flexible engagement models. Single specialist, dedicated hire, or full architecture pod. Remote and nearshore options with North American time zone alignment and cultural fit for US and Canadian enterprise clients.
  • Depth in regulated industries. Finance, healthcare, education: compliance, security, and performance are built into our selection criteria. We understand what it takes to create solutions that meet HIPAA, PCI, and FedRAMP requirements.

Solutions architects design technical solutions for customer needs. They bridge sales, product, and engineering teams. When you partner with SoftDoes, you get architects who do both from day one, with the support structure to deliver value fast.

Ready to Hire a Solution Architecture Developer?

Stop losing months to mismatched candidates and regret hires. If you need a solutions architect who can evaluate your existing systems, create scalable technical solutions, and deliver measurable business outcomes, SoftDoes can match you with pre vetted senior talent in days, not months.

Schedule a discovery call today. Tell us your project scope, stack, and timeline, and we will show you exactly who is available and how we can support your growth.

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