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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.
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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.
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Verified in SoftDoesAndrea M.
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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.
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Andrea M.Verified in SoftDoes
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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.
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Andrea M.Verified in SoftDoes
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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.
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Verified in SoftDoesAndrii V.
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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.
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Andrii V.Verified in SoftDoes
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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.
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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.
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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.
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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.
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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.
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10+ years in IT, 7+ years focused on DevOps/SysOps/SRE. Currently - Tech Lead at a U.S. company.

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

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

Hripsime S.
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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.
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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.

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

Mario J.
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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
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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.
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Santiago G.Verified in SoftDoes
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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.
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Verified in SoftDoesThierry M.
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US 🇺🇸English (C1)Senior
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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.
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Thierry M.Verified in SoftDoes
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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.
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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.
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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.
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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.
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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.
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Lead AI/ML Developer
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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.
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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.
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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 Startup Funding Consultants can build

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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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How to hire a Startup Funding 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 Startup Funding Consultant through SoftDoes?

SoftDoes deploys pre vetted senior fundraising consultants within one to two weeks of initial engagement. The first week focuses on audit and kickoff, aligning on your funding plan, reviewing existing investor materials, and mapping your fundraising goals. By week three to four, your consultant will have finalized pitch materials, built the investor list, and begun active investor outreach. In engagements where early traction and readiness already exist, founders can expect term sheets within eight to twelve weeks of active outreach. The speed advantage comes from SoftDoes maintaining a bench of battle tested talent with a proven track record, which eliminates the months long sourcing cycle that traditional recruitment demands.

What does it cost to hire a Startup Funding Consultant?

Consultants typically use success only, retainer, or hybrid fee structures. Retainers generally range from $5,000 to $25,000 per month depending on scope, stage, and geography. Success fee structures typically run 3 to 8%, with seed rounds trending toward higher percentages (5 to 8%) and Series A or B rounds toward lower (3 to 5%). Some early stage engagements include an equity component of 0.25 to 1% of common stock when cash is tight. For fixed scope deliverables like pitch deck creation, financial model builds, or data room preparation, expect project fees in the $5,000 to $20,000 range. The hybrid model (modest retainer plus success fee) is becoming the market norm because it aligns incentives without skewing risk entirely to either party. ROI multiples in successful engagements often reach 3 to 10 times the total consultant charges, measured through higher valuation, faster close, and saved opportunity cost. A well structured funding strategy can minimize equity dilution, which often represents a far larger cost than the consultant's fees.

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

SoftDoes offers three primary engagement models to match your startup funding needs and budget reality. A dedicated hire embeds a senior fundraising consultant directly into your team for the duration of the capital raise, ideal for complex rounds requiring daily collaboration across investor relations, financial projections, and pitch rehearsals. A pod model pairs a lead fundraising advisor with supporting specialists (financial modeling, market research, investor outreach) as a self contained unit, well suited for growth stage rounds or cross border raises. A contract model covers specific deliverables on a fixed scope basis, such as pitch deck creation, investor list development, or term sheet negotiation support. This makes sense for technical teams with strong internal business development capabilities who need targeted expertise rather than full service management consulting. All models include the flexibility to scale up or down based on fundraising momentum, and the zero risk replacement guarantee applies across every model.

How do you ensure time zone alignment with a Startup Funding Consultant?

SoftDoes sources talent across North America with deliberate attention to time zone overlap. Every engagement begins with mapping your core team's working hours against the investor geographies you are targeting. If your potential investors are concentrated on the US East Coast, your consultant will align to Eastern hours for pitch timing and investor meetings. For startups fundraising across multiple regions (West Coast, Europe, Middle East, or Asia), SoftDoes can deploy consultants with overlapping coverage or stagger schedules to ensure no investor conversation falls through the cracks. The operational protocol includes defined synchronous windows for live collaboration and asynchronous workflows for investor outreach, data room updates, and pipeline reporting, so momentum never stalls due to scheduling gaps.

How does SoftDoes technically vet a Startup Funding Consultant?

SoftDoes applies a multi layer vetting pipeline that goes far beyond resume review. First, every candidate's fundraising track record is verified through reference checks with founders they have served, with specific metrics requested: raise size, time to close, valuation outcomes, and investor types secured. Second, candidates complete a live problem solving assessment where they critique real pitch materials, identify weaknesses in a financial model, and propose an investor targeting strategy under time constraints. Third, SoftDoes evaluates communication under pressure through scenario based exercises simulating investor Q&A, term sheet negotiation, and founder disagreement. Finally, cross functional culture fit is assessed to ensure the consultant can operate effectively alongside your engineering, product, and business teams. Consultants who cannot articulate past failures, demonstrate thorough research habits, or show evidence of streamlining fundraising processes are filtered out. Only consultants with a global network of relevant investors, demonstrated ability to prepare investment materials like pitch decks and financial models, and sector specific credibility make it through to client presentation.

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

SoftDoes provides a zero risk replacement guarantee. If your funding consultant is not delivering against agreed milestones, is misaligned with your team's working style, or simply is not the right cultural fit, SoftDoes replaces them at no additional cost and with minimal disruption. The replacement process is designed to preserve momentum: all pipeline data, investor materials, outreach history, and relationship context are documented and transferred so the incoming consultant can pick up without restarting from scratch. For scaling needs, SoftDoes allows you to expand your fundraising team (adding investor outreach specialists, financial modeling support, or pitch coaching resources) during peak fundraising activity and scale back down after closing. This flexibility ensures you never carry unnecessary overhead during quiet periods, and you never lack capacity when multiple future investors are in active diligence simultaneously. Startups hire consultants when lacking fundraising experience, and SoftDoes ensures that decision never becomes a sunk cost.

The Executive Guide to Hiring a Startup Funding Consultant

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A single misaligned funding consultant can burn three to six months of runway, poison investor relationships, and force your leadership team into damage control instead of product delivery. The right one compresses your capital raise timeline, unlocks institutional capital, and lets you stay focused on engineering and growth. This playbook gives you a field tested strategy to define, vet, and onboard top tier startup funding consultant talent, built from real lessons across dozens of engagements.

The Real Stakes

What Separates Senior Startup Funding Consultant Talent from Order Takers

Most founders think hiring a fundraising advisor means getting someone to polish a pitch deck. That is the job description of an order taker. A senior startup fundraising consultant owns the full stack of fundraise readiness, and their daily operational realities look nothing like what consulting firms advertise in their marketing decks.

Here is what genuine senior level ownership looks like in practice:

  • Round strategy architecture: Defining how much to raise funds for, at what valuation, from which investor types (angel investors, seed funds, growth stage venture capital, family offices), and structuring the sequence so you retain maximum leverage and minimize equity dilution.
  • Financial model engineering: Building multivariate scenario models, runway stress tests, cap table dilution projections, and exit scenario analyses. Startup funding consultants must excel in financial modeling, not just basic financial modeling but defensible three statement models that survive institutional due diligence.
  • Investor targeting and pipeline management: Mapping relevant investors by stage, thesis, and geography. Running both warm introductions and cold outreach pipelines with CRM discipline, batching investor meetings, and maintaining outreach cadence. Successful fundraising consultants can access a network of 20,000 investors, which dramatically increases funding opportunities.
  • Narrative and storytelling discipline: Aligning product strategy, go to market traction, customer data, market research, and competitive landscape into a fundraising story that resonates with each investor segment rather than deploying a generic one pitch fits all approach.
  • Negotiation and term sheet evaluation: Managing the tradeoff between valuation versus speed, dilution versus control, liquidation preferences, board rights, and governance terms. This is where the consultant's expertise directly protects your cap table.
  • Regulatory and compliance literacy: Ensuring engagement structures comply with securities law, especially around success fee arrangements and broker dealer licensing requirements. Consider legal review of agreements involving success fees or equity compensation before signing anything.

The difference between a senior funding consultant and an order taker is ownership. Order takers wait for instructions; senior consultants challenge your assumptions, rebuild your financial projections when they are weak, and run the fundraising process like a general contractor runs a build.

The Business Case: Financial and Operational Impact

The ROI of the right hire is not theoretical. Here are the concrete vectors:

  • Time to close compression: Founders typically spend 9 to 12 months on DIY fundraising efforts. Consultants can reduce fundraising time by 70% compared to solo efforts, translating directly into preserved runway and slowed burn. That time savings alone often pays for the engagement multiple times over.
  • Valuation and terms improvement: Through defensible comps, model scenarios, and proficient negotiation, experienced fundraising consultants routinely help founders secure valuations 20 to 40% higher than they would achieve independently. One case study showed a consultant repositioning a startup's pitch resulting in a 38% improvement in valuation perception.
  • Founder time protection: Most founders spend 50 to 60% of their headspace during late seed or Series A rounds chasing investor conversations, updating pitch materials, and managing follow ups. Hiring consultants allows founders to focus on product development, hiring, and go to market execution.
  • Risk mitigation: Avoiding broken cap tables, compliance issues, mismatched investor expectations, and poor data rooms reduces failed rounds, rescinded term sheets, and reputational damage. 70% of founders face delays by talking to the wrong investors, which is exactly the kind of expensive mistake a qualified consultant prevents.

Preparing to Search

Auditing Your Fundraising Constraints Before Writing a Single Job Spec

Before you spend a dollar on sourcing, you need clarity on what problem this hire actually solves. Define your funding stage and goals when looking for consultants, because the profile you need at a seed round looks nothing like the profile for a Series A or growth stage capital raise.

Current Readiness and Gap Analysis

What problem must this hire solve first? If your financial model is incomplete, your pitch deck is untested, and your data rooms do not exist, you are not ready for a fundraising advisor. You are ready for foundational work. Investigate the exact services offered by funding consultants and map them against your actual gaps. Conduct a fundraising diagnostic to assess readiness and fit before engaging anyone. Hiring a consultant too early, before your investor materials, finances, and key metrics are prepared, often wastes money.

Team Dynamics and Autonomy Level

Decide whether you need an embedded specialist who integrates with your leadership team daily or a dedicated pod that operates semi independently with weekly syncs. This depends on how much founder involvement you can commit. If your CEO cannot dedicate consistent time to investor meetings and pitch rehearsals, you need a consultant with higher autonomy and a broader mandate.

Engagement Model Dynamics

Traditional in house FTE hiring for fundraising consulting is slow and creates fixed overhead during a period when cash preservation matters most. Vetted dedicated remote talent, deployed through a partner like SoftDoes with engineering led oversight, gives you the flexibility to scale up or down based on fundraising momentum. Consider your talent network options carefully: the wrong engagement model creates friction that compounds across every week of your funding journey.

Engineering the Ideal Profile, Not a Generic Job Spec

Generic job specs attract generic candidates. Here are the four essential profile components that separate a high impact hire from a resume that simply checks boxes:

  • Core outcome and mission: Define the specific capital raise outcome. "Raise $5M Series A within 16 weeks at a target pre money valuation of $30M" is a mission. "Help with fundraising" is not.
  • Technical stack reality: Does this consultant need deep tech fluency to credibly represent your product to venture capitalists? In regulated industries (healthcare, finance, climate), consultants who can translate technical risk into investor friendly terms command a premium and deliver materially better results.
  • Decision making authority: Clarify what this consultant can own independently (investor list curation, outreach sequencing, data room preparation) versus what requires founder sign off (term sheet negotiation, valuation floors, board seat commitments).
  • Growth trajectory and knowledge transfer: The best consultants build systems that your internal team can operate after the engagement ends. If the fundraising process dies when the consultant leaves, you hired a dependency, not a partner.
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Vetting and Onboarding

A Battle Tested Vetting Framework That Actually Filters for Performance

Sourcing Reality

Traditional recruiters rarely understand fundraising consulting at the level required for high stakes capital raises. They source resumes, not outcomes. The alternative: prescreened talent networks where candidates have been evaluated against real fundraising track records, with verified case studies and reference checked results. Ask for proof of past funding successes from consultants. Request case studies and references from consultants you consider. Check if consultants have direct relationships with angel investors or VCs, and verify that consultants have active relationships with investors matching your funding stage.

Funding rounds in the US declined from over 8,000 to roughly 6,000 in a single recent cycle, which means the bar for fundraising execution has risen significantly. The consultants who thrived through that contraction are the ones worth hiring. Look for consultants with a proven track record in your industry and at your current stage.

Technical Evaluation Pipeline

Forget trivia based interviews. Here is what actually filters for quality:

  • Live problem solving: Give candidates your current pitch deck or business model summary and ask them to critique it in real time. Consultants who cannot identify gaps on a first call are unlikely to add value over months.
  • Real world scenario review: Present a fundraising scenario (e.g., two competing term sheets with different valuation and governance tradeoffs) and evaluate their analytical process and recommendation quality.
  • Communication under pressure: Fundraising moves fast. Evaluate responsiveness, clarity under tight deadlines, and willingness to push back on founder assumptions. Effective communication is crucial for investor relations, and you need to see it demonstrated, not just claimed.
  • Cross functional culture fit: Ensure consultants align with your vision and communicate effectively with your technical and business teams. A consultant who cannot translate between engineering language and investor language will create friction at every touchpoint.

Be cautious of consultants guaranteeing funding without proper assessment. That is a red flag, not a green flag.

The First 90 Days: A Frictionless Ramp Up Protocol

A successful pilot can test a consultant's fit before full commitment. Here is the milestone roadmap:

  • Days 0 to 30 (Audit and Alignment): Consultant reviews all existing materials, cap table, financials, and business plans. Aligns on fundraising goals: raise amount, target valuation, ideal investor profile. Conducts thorough market and competitive analysis. Deliverable: fundraising diagnostic report and agreed upon funding plan with milestones.
  • Days 30 to 60 (Build and Launch): Finalized narrative, pitch deck, financial model, and data room indexed against investor diligence lists. Investor outreach list built and first meetings scheduled. Pitch rehearsals conducted with feedback loops. Consultants should actively improve your fundraising materials during this phase, tailoring investor materials to match specific investor interests. Establish clear communication for investor reporting and updates.
  • Days 60 to 90 (Negotiate and Close): Multiple term sheets or serious offers expected. Consultant assists in comparing and selecting optimal terms. Begin handing over processes, relationships, and systems to internal owners. After closing, ensure all documentation, investor relations protocols, and pipeline data are internalized so the team retains capability. Our IT consulting experience confirms that measurable handoff protocols are what separate engagements that build lasting value from those that create dependency.

Making the Call

Interview Signals: Red Flags vs. Green Flags

Red Flags:

  • Tool obsession over substance: If a consultant spends the first call talking about deck design software rather than your market position, unit economics, or investor targeting strategy, they are focused on artifacts instead of outcomes.
  • Inability to discuss past failures: Every experienced fundraising consultant has led engagements that did not close. Those who cannot articulate what went wrong, what they learned, and what they would do differently lack the reflective capacity to navigate surprises.
  • Overpromising without evidence: Guaranteeing a specific valuation, a set number of investor meetings, or access to top tier funds without conducting thorough research into your business is a signal of salesmanship, not competence.
  • Misaligned fee structures: High upfront cost without deliverable milestones, vague success fee triggers, or large equity demands that erode founder control should all prompt serious scrutiny. Understand the compensation structure of consultants before engagement, and verify the consultant's registration and disciplinary history for compliance.

Green Flags:

  • Pragmatic tradeoff analysis: They explain both sides clearly, e.g., "You could accept 10% more dilution for faster close, or wait longer and target a higher valuation from a different investor segment." They help you target suitable investors rather than spraying outreach to wrong investors.
  • Data and measurement culture: They propose KPIs from the start: meetings booked, term sheet conversion rate, valuation uplift, time savings against baseline. They track pipeline metrics and feed them back in structured updates.
  • Proactive risk identification: Before you ask, they flag potential issues with your cap table, burn rate assumptions, or investor list composition. Consultants should conduct thorough market and competitive analysis, not wait for you to request it.
  • Investor segment specialization: They know what different venture capitalists, family offices, and angel investors look for at each stage. They tailor narrative to different investor types rather than running a single generic pitch. Consultants can help target new investor segments effectively when your initial approach stalls.

Why SoftDoes Gives You an Unfair Advantage

SoftDoes is not a generic staffing agency. As a North America focused custom software engineering and data and AI partner serving clients across the US and Canada, SoftDoes brings a combination of capabilities that traditional fundraising services and consulting firms cannot match:

  • Battle tested senior talent: Every consultant deployed through SoftDoes has a verified fundraising track record with real metrics, not just polished resumes. They have raised money across many industries, from deep tech to regulated verticals.
  • Engineering led delivery oversight: Unlike unmanaged freelancers, SoftDoes consultants operate under structured delivery management. This means your fundraising process gets the same rigor as a well run engineering sprint, with accountability, milestone tracking, and quality gates.
  • Rapid deployment capability: SoftDoes can onboard a consultant and produce first investor facing materials in weeks, not months. When your funding journey timeline is tight, speed to first investor meeting matters more than anything.
  • Flexible engagement models: Dedicated hire, pod, or contract. Scale up during active fundraising, scale down after closing. No long term overhead commitments that drain runway.
  • Zero risk replacement guarantee: If the consultant is not the right fit, SoftDoes replaces them at no additional cost. This eliminates the single biggest anxiety founders face when engaging external fundraising consultants.
  • Technical credibility for investor facing conversations: Because SoftDoes lives in the engineering and AI space, consultants deployed through the platform can credibly validate your technical roadmap, architecture decisions, and product differentiation for potential investors, which matters enormously in enterprise and regulated sectors. Explore our stock options consultants for complementary expertise in structuring equity compensation during fundraising rounds.

Your Next Move

Every week spent without a qualified startup funding consultant in place is a week of burned runway, missed investor conversations, and lost competitive positioning. The fundraising market is tighter than it was even two years ago, and the founders who win are the ones who deploy professional fundraising expertise early and decisively.

Book a technical discovery session with SoftDoes architects. We will map your fundraising readiness, define the exact consultant profile your round demands, and deploy senior talent within days, not months. No obligation, no HR theater, just a direct conversation about how to secure funding faster and on better terms.

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