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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 Consultants 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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FIND THE
RIGHT expert, FASTER

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

How to hire a Software Consultant

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 Consultant through SoftDoes?

Most placements happen within days, not weeks. After an initial requirements conversation where we understand your project scope, technology stack, and team structure, we present pre screened consultant profiles from our vetted talent network. Because our consultants are already technically vetted and available, you skip the months long recruiting cycle that traditional hiring demands. Urgency scenarios can be handled even faster depending on the specificity of the role and domain.

What does it cost to hire a Software Consultant?

Cost depends on seniority, specialty, project complexity, and engagement model. Senior enterprise architects and software consultants typically command rates in the range of $175 to $350 per hour for US level expertise, while AI and data strategy consultants can range from $200 to $400 per hour. Monthly retainers for ongoing advisory services generally fall between $15K and $30K per month. SoftDoes offers competitive rates with transparent pricing and no hidden recruiting or placement fees. We work with you to find a cost effective solution that fits your budget without sacrificing quality.

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

SoftDoes supports multiple engagement models to match your needs. Staff augmentation embeds consultants directly under your management. Dedicated teams or pods provide a full development unit with built in collaboration and oversight. Retainer models give you ongoing access to advisory capacity for continuous, unpredictable work. Fixed price or project based engagements work best when scope is well defined. You can also combine models, for example a retainer for strategic advisory alongside a dedicated team for execution. We help you choose the model that aligns with your business goals and long term collaboration plans.

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

SoftDoes focuses on the North American market, which means our talent network is composed of professionals who work within US and Canadian time zones or have significant overlap. During the matching process, we confirm time zone compatibility and communication cadence so your consultant can participate in standups, reviews, and stakeholder meetings without friction. For teams with distributed members, we establish shared tools and documentation practices that keep everyone aligned regardless of location.

How does SoftDoes technically vet a Software Consultant?

Our vetting process goes well beyond resume review. Every consultant undergoes architecture design exercises evaluated by senior engineers, code review tasks that test real world judgment, and system design challenges under constraints like scalability and security. We also run analytical interviews focused on problem solving ability, trade off reasoning, and domain knowledge. Culture and communication fit are assessed through structured conversations covering cross functional collaboration, remote work habits, and stakeholder communication. Reference checks with previous clients in similar domains round out the process, and we ask specifically about challenges and failures, not just successes.

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

SoftDoes offers a replacement guarantee. If a consultant does not meet your expectations after onboarding, we replace them without disrupting project progress or timeline. Scaling is equally straightforward: as your project evolves, you can add specialists, expand to a full pod, or reduce scope with flexible contract adjustments. We handle the operational logistics so you stay focused on delivery. This flexibility is one of the core reasons companies choose a consultancy partnership over traditional hiring, where every change means restarting a months long recruiting cycle.

How to Hire a Software Consultant

Most companies burn weeks chasing unqualified candidates, sorting through generic proposals, or onboarding consultants who disappear the moment complexity hits. The cost of a bad hire is not just the invoice; it is lost time, rework, and missed market windows. This guide walks you through everything you need to know about hiring a software consultant the right way: understanding the role, preparing your requirements, vetting candidates, spotting warning signs, and ultimately making a decision that delivers real business outcomes.

What a Software Consultant Actually Does and Why It Matters

The Modern Software Consultant: Far More Than a Developer for Hire

A software consultant is a senior technical advisor who bridges business goals and technology execution. Unlike a staff software engineer embedded full time or an architect focused purely on design, a consultant operates across advisory and hands on delivery, often brought in when internal teams lack specific expertise, capacity, or when risk is high. Think legacy modernization, compliance readiness, AI integration, or scaling infrastructure under pressure.

Here is what a strong software development consultant does on any given day:

  • Auditing existing systems for scalability, performance, security, and compliance gaps, whether that means reviewing a codebase, evaluating infrastructure, or stress testing an API layer
  • Designing technical roadmaps that map architecture choices, technology stack trade offs, data pipelines, and integration approaches to concrete business requirements
  • Leading hands on implementation by building prototypes, running migrations, overseeing development sprints, or embedding directly with your existing team
  • Identifying and mitigating risk by uncovering hidden technical debt, unseen dependencies, and planning fallback strategies before problems become emergencies
  • Aligning stakeholders by translating business needs into technical requirements and presenting timelines, costs, and trade offs to non technical leadership
  • Ensuring quality and long term maintainability through code reviews, testing standards, documentation, and structured knowledge transfer so your internal teams are not left in the dark

Beyond raw technical skills, the best consultants bring domain knowledge (regulated industries like finance or healthcare), the ability to operate in ambiguity, strong communication skills, and commercial awareness around budget and ROI. Consultants can bring specialized expertise and strategic vision to organizations that would take months to build internally.

Why Getting This Hire Right Is a Strategic Priority

Hiring software consultants is not a procurement exercise. It is a strategic decision. Here is what changes when you get it right:

  • Faster time to market: Expert judgment avoids wrong architectural choices, reduces rework, and accelerates critical path decisions. Generative AI improves software speed to market and quality, and a strong consultant knows how to leverage these tools effectively.
  • Lower total cost: The right consultant helps you avoid over engineering, select the optimal tech stack, and reduce technical debt. Technical debt can slow down future software development and increase costs, making early architectural decisions enormously consequential. Hiring software consultants can reduce long term overhead costs and allow flexibility compared to building large internal teams.
  • System reliability and compliance: Custom development ensures compliance with company policies, and regulated industries require software to align with specific workflows. A consultant who understands SOC2, HIPAA, or data privacy regulations keeps you audit ready without slowing delivery.
  • Scalable growth and future proofing: Choosing platforms and designs that support growth, flexible integrations, and AI readiness without vendor lock in. Modernization efforts can reduce technical debt and enhance value from existing systems.

Consultants can align technology priorities with business objectives to improve operational effectiveness, and they can help mitigate risks by anticipating potential roadblocks in projects before those roadblocks become budget killers.

How to Prepare Before You Start Hiring

Define Your Requirements Before Opening a Role

Internal clarity is the single most effective way to prevent scope creep, miscommunication, and budget overruns. Before you reach out to a single candidate or consultancy, do this work first.

Project Scope and Requirements

Define what the project actually is. Is this a new system build, a legacy modernization, an AI model deployment, a UX redesign, or something else? Map out which existing systems it touches, what integrations are needed (APIs, third party services, data sources), and what constraints exist around security, compliance, and performance.

Set clear success criteria: KPIs, uptime targets, latency thresholds, user adoption goals. Also honestly assess how much is known versus unknown. High uncertainty favors flexible engagement models; well defined scopes favor fixed price contracts.

Team Structure and Engagement Model

Clarify your internal team composition. Do you already have architects, DevOps engineers, QA engineers, or data engineers? Who will manage the consultant day to day? Define reporting lines, decision making authority, and interaction cadence (daily standups, weekly reviews, sprint cycles, steering committees).

Companies with clear organization charts succeed in software development because consultants can integrate seamlessly when they know who owns what.

In House vs. Dedicated Remote Talent

Consider the trade offs honestly:

  • In house hiring gives you more control and alignment but takes time, creates heavier fixed costs, and makes it harder to access rare skills. Hiring in house teams can incur heavier costs and inflexibility.
  • Dedicated remote specialists offer faster onboarding, deep expertise in specific domains, and are typically more cost effective. Freelance engineers are typically cheaper than full time employees, though they may lack continuity. The global IT outsourcing market is projected to reach $806.55 billion by 2030, reflecting how mainstream remote and outsourced talent has become.
  • Hybrid models combining a consultant leading your internal teams or embedded within a remote pod are common when both scale and management support matter.

Consultancies provide stability and long term support for projects, and they ensure engineers are pre vetted and managed effectively, which removes much of the operational burden from your side.

Writing a Job Description That Attracts Senior Talent

A generic job posting attracts generic candidates. A standout description for a software consultant covers four elements:

  1. Mission and outcome orientation: Lead with the strategic impact expected. "Modernize payments backend to handle 10x transaction load" is far more compelling than "write backend code." Consultants can audit technology stacks with an objective external perspective, and the best ones want to know the business problem before proposing solutions.
  2. Stack and technical context: Specify relevant programming languages, cloud platforms, data and AI tools, UX frameworks, scale (users, data volume), legacy systems, and compliance or domain constraints. Be specific about your technology stack so candidates can self select.
  3. Team structure and engagement model: Clarify who the consultant reports to, who they collaborate with (product, design, QA, DevOps), and whether this is a standalone advisory role, an embedded position, or leading a team.
  4. Growth and impact: Describe opportunities for knowledge transfer, internal capability building, and how performance will be measured through milestones, deliverables, and business metrics.

Also call out soft skills: ability to operate in regulated environments, communication with non technical stakeholders, and comfort with ambiguity.

How to Find, Vet, and Onboard the Right Software Consultant

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A Rigorous Hiring and Vetting Process

Where to Source Candidates

Not all sourcing channels are equal. Here is where to look, ranked roughly by signal quality:

  • Referrals and industry networks remain the highest signal source. Ask peers about what went wrong as well as what succeeded.
  • Boutique consultancies or domain specialists in healthcare, finance, AI/ML, or cloud often outperform large generalist firms because they have deeper compliance knowledge and relevant portfolio experience. Companies with IT experience are more likely to succeed in software projects.
  • Vetted talent networks with pre screening for senior consultants can expedite shortlisting dramatically compared to pure freelance software platforms, where you sort through hundreds of profiles. Consultancies allow for replacing engineers without losing project progress, which is a major risk reduction.
  • Direct recruiting through recruiter firms gives you full control but requires significant time and resources.

The global talent pool is large, but filtering for quality, reliability, and domain fit is where most companies struggle.

How to Vet Beyond the Resume

Resumes tell you what someone claims. Vetting tells you what they can actually do. Best practices include:

  • Technical screening with your senior engineers: Architecture design exercises, code review tasks, and system design under real constraints (scalability, security) reveal depth of technical expertise
  • A practical, real world task: Give candidates a narrow slice of the actual engagement. See how they think, document, deliver, and handle feedback. This is the most reliable way to assess fit before committing budget.
  • An analytical, problem solving interview: Test trade off awareness, risk mitigation reasoning, and domain knowledge. Ask them to walk through a project that failed and what they would do differently.
  • Culture and communication fit: Evaluate how they handle feedback, their communication style with cross functional teams, remote collaboration habits, and time zone alignment. Strong problem solving ability means little if the consultant cannot articulate their reasoning to your product lead.

Security assessments of third party suppliers are important to protect sensitive information. In security sensitive projects, hiring developers requires thorough screening, and a robust legal package is necessary for hired developers. Security verification should be part of your vetting process, not an afterthought.

Setting Your New Hire Up for Success: The 30/60/90 Day Framework

Even the best consultant will underperform without proper onboarding. Here is a practical ramp up plan:

  • First week: Grant tool access, walk through the business domain and existing systems, introduce key stakeholders, share documentation, and set clear initial deliverables. Contract clarity is crucial in defining scope, deliverables, and ownership of work products.
  • 30 days: Define small early wins or pilot deliverables. Ensure alignment on architecture, approach, and working rhythm. Run frequent check ins and establish feedback loops. Engineers must follow compliance processes without disrupting delivery.
  • 60 days: The consultant should be handling real complexity. Focus on knowledge transfer, assess whether the hiring model and engagement structure are working, and adjust as needed.
  • 90 days: Expect meaningful value delivery, autonomous decision making, and either handoff to your in house team or a decision to scale the engagement up or down.

Good consultants share best practices and new tools with internal staff during projects, which means the value extends well beyond the engagement itself. To ensure continuity, build knowledge transfer milestones into the engagement from day one.

How to Spot the Right (and Wrong) Software Consultant

Red Flags and Green Flags When Hiring a Software Consultant

Red Flags

  • Proposals before discovery: When a consultant offers a solution or pricing without understanding the business problem first, that is a warning sign. Generic pitch decks with no technical substance suggest they are selling hours, not outcomes.
  • Hidden conflicts of interest: Recommending their own product or vendor without transparent disclosure. Watch for consultants who sell tools instead of solving business needs.
  • Billable hours focus over results: If the conversation centers on time logged rather than deliverables, KPIs, or business outcomes, walk away. A cost effective solution ties compensation to value, not clock time.
  • Implausible skills or over promising: Claiming mastery across too many domains, offering aggressive timelines without acknowledging risk, or skipping questions about unknowns. No one is a full stack developers, AI specialist, security expert, and cloud architect simultaneously at a senior level.

Green Flags

  • Clear success metrics and accountability: The consultant defines what success looks like (performance targets, timelines, business outcomes) and takes ownership of results.
  • Relevant domain experience: Previous work in your industry (finance, healthcare, regulated environments) and with systems of similar scale or architecture. Hiring a dedicated development team can tailor solutions to business needs, and experienced software developers who understand your domain deliver faster.
  • Transparent communication: Clarity about who does the work, what resources are involved, realistic timelines, and proactive visibility into risks. Strong communication skills are non negotiable.
  • Sustainable design and knowledge transfer: The consultant builds maintainable systems, writes documentation, and shares knowledge rather than creating "black box" solutions that only they understand. Custom software can maintain competitive advantages over off the shelf products, but only if your team can maintain and evolve it after the engagement ends.

Why Partnering with SoftDoes Gives You an Edge

SoftDoes is a North America focused software engineering and talent delivery partner serving clients across the US and Canada. We exist because most companies face the same set of problems when they try to hire software developers or software consultants: the interview process takes too long, the candidates lack depth, and the engagement falls apart when complexity hits.

Here is what makes SoftDoes different:

  • Senior, carefully vetted consultants: Every software development consultant in our network passes rigorous technical screening, architecture exercises, and reference checks before we present them. Consultancies ensure engineers are pre vetted and managed effectively, so you skip the sorting and go straight to qualified candidates.
  • Team delivery model, not isolated freelancers: We offer everything from a single specialist to a full development pod. You get built in accountability, collaboration, and project continuity rather than the uncertainty of short term contractors.
  • Replacement and scaling guarantees: If a consultant is not the right fit, we replace them without losing project progress. Need to scale up or down? We handle it. Consultancies allow for replacing engineers without losing project progress.
  • Deep expertise in regulated industries: Finance, healthcare, and compliance heavy environments are core to our experience. Strict security practices are essential in custom software development, and our consultants are prepared for that reality. Security must be strictly enforced in software development, and we ensure our talent meets that standard.
  • Flexible engagement models: Staff augmentation, dedicated teams, retainers, or project based work. We match the hiring model to your actual needs, not a one size fits all contract.
  • Outcome focused delivery: We tie engagements to deliverables, KPIs, and business goals rather than billing hours. AI automates code generation to reduce time and effort, AI analyzes large codebases to support maintenance, and AI identifies and flags potential new bugs in code; our consultants leverage these capabilities where they create genuine value.

90% of top software companies have collaborated with consultancies to access the expertise and scalability they need. SoftDoes brings that same caliber of partnership to companies at every stage, from startup funding consultants looking to build their first product to enterprises modernizing mission critical systems.

Ready to Hire a Software Consultant?

Stop burning weeks on unqualified candidates and uncertain outcomes. Whether you need a single embedded expert or a full development team, SoftDoes can match you with pre vetted senior talent and get your project moving within days, not months.

Schedule a discovery call with our team. We will discuss your project scope, technical requirements, timeline, and budget, then present you with consultant profiles matched to your exact needs. No long term commitment required, no hidden fees, and a replacement guarantee if the fit is not right.

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