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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

Hripsime S.
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Hripsime S.Verified in SoftDoes
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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 Risk Management Consultants can build

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How to hire a Risk Management 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 Risk Management Consultant through SoftDoes?

Most engagements move from initial scoping to a matched consultant within one to two weeks. For urgent needs, we can present vetted candidates within days. The vetting process includes technical screening, a practical case study, and reference checks, so speed does not come at the expense of quality. Average time to match a consultant through similar platforms is under 24 hours, and our process is comparable for pre vetted specialists already in our network.

What does it cost to hire a Risk Management Consultant?

Cost depends on scope, seniority, and engagement model. Independent or practitioner led consultants typically charge $150 to $350 per hour. Boutique firms often bill $250 to $400 per hour, while Big Four or strategy firms may bill senior partners at $600 to $1,000+ per hour. For project based work, a compliance gap assessment runs $25,000 to $75,000, and a full enterprise risk management program build for a midsize company ranges from $150,000 to $500,000. SoftDoes structures pricing around your scope and desired outcome, not arbitrary rate cards.

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

SoftDoes offers four models: fixed fee project engagements with clear deliverables, hourly or time and materials contracts for ongoing advisory, retainer or fractional leadership for companies that need senior risk management services without a full time hire, and full pod delivery where a team of specialists (covering cyber, financial, and operational risk) works as an extension of your organization. You choose the model that matches your growth stage and risk profile.

How do you ensure time zone alignment with a Risk Management Consultant?

All consultants in our network are based in North America or work within North American time zones. During scoping, we define required overlap hours and match talent accordingly. For teams operating across the US and Canada, we ensure the consultant's working hours cover your core collaboration windows, so risk reviews, executive briefings, and cross functional meetings happen in real time rather than through async handoffs.

How does SoftDoes technically vet a Risk Management Consultant?

Our vetting process has four layers. First, we verify professional certifications (CISM, FRM, CRISC, ISO 27001 Lead Auditor) and domain experience. Second, we run a technical screening covering relevant frameworks, industry regulations, and tools. Third, we assign a practical real world task where the candidate performs a simulated risk assessment, proposes mitigations, and designs controls. Fourth, we evaluate communication and culture fit through scenario based interviews. Regulatory guidance emphasizes evaluating a consultant's independence and expertise, and we apply that standard at every step.

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

Every SoftDoes engagement includes milestone reviews and the flexibility to adjust. If the consultant is not performing, our replacement guarantee means we match you with a new specialist at no additional cost. If your risk management needs grow, we can add specialists or expand to a full pod. If the project wraps up early, you scale down without penalty. Contracts include clear terms for all of these scenarios, so you are never locked into an arrangement that no longer fits.

How to Hire a Risk Management Consultant

Most companies hire a risk management consultant the same way they hire any other advisor: skim a few LinkedIn profiles, run two interviews, and hope for the best. The result is a consultant who produces binders of frameworks but never connects risk controls to actual business outcomes. This guide walks you through a better process, from scoping the engagement and writing a job description to vetting candidates, onboarding them on a 30/60/90 day plan, and recognizing the signals that separate top risk management consultants from mediocre ones.

What a Risk Management Consultant Does and Why the Role Matters

Core Responsibilities and Daily Work of a Risk Consultant

A risk management consultant helps organizations identify, measure, and treat threats across finance, operations, compliance, technology, and supply chain. They do not simply write reports; they shape decisions, escalation paths, and resilience routines. Risk management consultants help identify and mitigate potential risks, and a strong consultant tailors its approach to the organization's specific risk profile.

Here is what the day to day work looks like in practice:

  • Risk identification and categorization. Clarify which risk categories matter now (cyber, regulatory, enterprise risk, third party vendor risk) and align them with board priorities and company goals. A risk management consultant provides guidance on identifying and mitigating threats across the business.
  • Current state mapping. Review policies, risk registers, past incidents, operational workflows, and compliance documentation. A formal risk register should be updated at least annually to keep the picture current.
  • Threat assessment and quantification. Run both qualitative exercises (scenario workshops, executive interviews) and quantitative analysis (impact/probability modeling, simulations). Quantifying risks improves insurance program design and limit setting. Organizations with quantified risk updates outperform peers on recovery rates.
  • Treatment design. Propose risk appetite settings and design controls, KPIs, and incident response playbooks. This includes avoidance, reduction, transference, and acceptance strategies. Risk management consulting includes developing incident response plans.
  • Governance and monitoring. Set up dashboards, reporting routines, board risk committees, and audit mechanisms. Regular board reporting on risk enhances organizational resilience.
  • Leadership coaching and knowledge transfer. Train executives, align department leads, and help decision makers interpret risk data so they can embed risk thinking into planning. Consultants should enable knowledge transfer to empower clients after the engagement ends.

Skills that matter: deep domain knowledge (HIPAA, GDPR, SOX, PCI DSS, SOC 2); analytical capacity for statistical modeling and scenario planning; communication that translates complex risks into actionable strategies; project management discipline; and fluency with frameworks like ISO 31000 and COSO ERM. Professional certifications (CISM, FRM, CRISC, ISO 27001 Lead Auditor) can validate a consultant's expertise in risk management. Consultants should have industry specific expertise to handle unique risk exposures.

It is also worth noting the subspecialties within risk consulting. Insurance risk management consultants specialize in insurance related risks. Financial risk management consultants focus on credit and liquidity risks. Operational risk management consultants specialize in operational risks. Project risk management consultants focus on specific project risks. Enterprise risk management consultants specialize in organizational risk management. Knowing which type you need narrows the search before it even starts.

Why Hiring the Right Risk Management Consultant Is a Strategic Priority

Choosing the right risk consultant is not an administrative decision; it is a growth lever. Here is why:

  • Reduced compliance failures. A consultant who understands regulatory compliance in your industry helps you pass audits and avoid fines before enforcement actions begin. Independent consultants can reduce premiums by 12% to 38%.
  • Lower downtime and operational losses. Structured third party risk programs and resilience planning reduce disruption when an adverse event occurs. Consultants assist in performing routine cyber risk assessments, which catch vulnerabilities before they become incidents.
  • Faster time to market. Risk awareness built into design, architecture, and deployment avoids rework, delays, or rollbacks. Teams stop treating compliance as a bottleneck and start treating it as a design constraint.
  • Stronger investor and board confidence. A mature enterprise risk management program supports fundraising, acquisitions, and insurance negotiations. Organizations can assess risk management maturity across five dimensions, giving boards a clear picture of where the company stands.

How to Prepare Before You Start Hiring

Scoping the Engagement Before You Open the Role

Before you write a job description or contact a recruiter, get three things locked down internally.

Project Scope and Requirements

Determine whether you need a one time risk assessment, a full program build, or ongoing advisory. A compliance gap assessment typically runs $25,000 to $75,000. Building or redesigning an enterprise risk management program for a midsize company often costs $150,000 to $500,000. Cyber risk assessments or penetration tests range from $50,000 to $250,000 depending on scope. Scope determines cost and fit, so define it early.

Team Structure and Engagement Model

Decide who the consultant will report to (CFO, CTO, legal counsel, or CEO), which departments they will interact with, and how much autonomy they will have. Define cross functional dependencies with Product, Engineering, Security, and Legal. This avoids the common failure where a consultant delivers recommendations that no one has the authority to implement.

In House vs. Dedicated Remote Talent

A fractional or retainer based risk manager costs less than a full time hire and works well for midsize firms that do not need a permanent seat. Dedicated remote talent, sourced through a vetted talent network, gives you senior level capability with geographic flexibility. Full time in house hires integrate more closely but carry higher fixed costs and longer ramp up times.

Writing a Job Description That Attracts the Right Risk Management Consultant

A vague job description attracts vague candidates. Four elements separate a standout posting from a generic one:

  • Mission. State the problem: "Design our enterprise risk management program covering cloud security, AI model bias, and regulatory mapping in finance." Do not write "manage risks" and leave it at that.
  • Stack and context. Describe your systems (on premise, cloud, hybrid), AI/ML usage, tech debt, existing compliance frameworks, and risk maturity level. Consultants should have extensive experience in commercial insurance policies and technology risk; let them self select.
  • Team structure. Who they report to, who they mentor, and which departments they will need to influence. This filters out consultants who only work in isolation.
  • Growth and impact. Define the outcome: reduce vendor risk exposure, pass a SOC 2 audit, build an incident response plan, or embed safety compliance culture. Defined processes and KPIs are essential for effective risk management consulting. Also clarify whether the engagement could expand.
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Sourcing, Vetting, and Onboarding a Risk Management Consultant

How to Evaluate and Select the Right Candidate

Sourcing Strategy

Three channels produce different tradeoffs. Full service consulting firms (boutiques or Big Four) offer brand credibility and broad capability but bill senior partners at $600 to $1,000+ per hour. Independent consultants charge $150 to $350 per hour, sometimes $500+ for niche expertise, and bring deep specialization. Independent risk management consultants provide unbiased advice to clients, since independent consultants are compensated directly by clients, not brokers. Talent networks and delivery partners offer vetted senior talent with matching, replacement guarantees, and the flexibility to scale up or down.

Risk management consultants typically come from backgrounds spanning various industries: finance, healthcare, construction, technology, and energy. The best sourcing strategy depends on your industry and the specific risk domains (cyber, operational, financial, claims management) you need covered. Clients rate Toptal risk management consultants 4.9 out of 5, and average time to match a consultant through similar platforms is under 24 hours.

Vetting Beyond the Resume

Resumes tell you where someone worked; they do not tell you how they think. Four screening layers separate adequate consultants from top risk management consultants:

  • Technical screening. Assess familiarity with relevant frameworks (ISO 31000, COSO ERM, NIST CSF, ISO 27001). Test knowledge of specific industry regulation (HIPAA, GDPR, SOX, FINRA). Regulatory guidance emphasizes evaluating a consultant's independence and expertise before engagement.
  • Practical real world task. Simulate a risk assessment for part of your system. Ask the candidate to map risks, propose mitigations, and design risk controls. Due diligence for selecting a consultant should reflect the importance and risk of the relationship.
  • Analytical and problem solving interview. Pose scenario questions: "Our AI model produces biased outputs in production. Walk us through triage, communication, and remediation." Or: "A critical vendor goes offline during peak season. What is your first hour?" Communication skills are vital for translating complex risks into actionable strategies.
  • Culture fit. Can they present to a board? Are they pragmatic or purely theoretical? Do they work within a software development lifecycle? Management consultants who cannot translate risk into cost, trade off, or roadmap will not move the needle.

Ramping Up Your New Hire: A 30/60/90 Day Framework

A structured onboarding plan prevents the common failure where a consultant spends three months "getting oriented" and delivers nothing.

First 30 days: Current state mapping. The consultant reviews risk registers, policies, incident history, and ownership structures. They meet every department lead and assess what exists versus what is missing. Consultants should help build sustainable risk management processes that remain after engagement.

Next 30 days: Priority risk assessment. The consultant builds an initial risk profile, sets up metrics, runs the first executive review, and helps define risk appetite. Organizations can reduce insurance costs by 12% to 38% with consultants when this groundwork is solid.

Days 60 to 90: Implementation begins. Controls go live, reporting routines launch, training sessions run, and early wins get measured (for example, eliminating a top exposure or defining escalation triggers). Risk management consultants help develop incident response plans for cyberattacks during this phase.

Retention tactics: give clear mandates, regular feedback, visibility to leadership, ownership over deliverables, and the opportunity to expand their remit as the business grows.

How to Spot the Right (and Wrong) Candidate

Warning Signs and Positive Indicators During Interviews

Red flags that should stop a hire:

  • No measurable outcomes from prior work. Vague claims like "improved risk posture" with no evidence of reduced incidents, cost savings, or audit results. If a consultant cannot point to specific results, they likely did not produce any.
  • Framework heavy, context light. Reciting ISO standards without explaining how they applied them to a specific tech stack, industry, or company size.
  • Documentation focus with no operational follow through. Producing policies that sit on SharePoint but never get enforced, trained on, or measured.
  • Poor executive communication. If the candidate cannot explain risk in terms of cost, trade off, or business impact during the interview, they will not be able to do it in front of your board.

Green flags that indicate senior level capability:

  • Proven experience in your industry. They have handled the specific regulations, risk types, and operational models you deal with. Consultants should have industry specific expertise to handle unique risk exposures.
  • Risk integrated into architecture. They treat security, reliability, and operational resilience as design principles, not checklists. This matters for companies building mission critical systems.
  • Cross functional influence. They have coached executives, trained employees, and delivered tangible change across departments.
  • Comfort with ambiguity. They can set up lightweight but scalable risk mechanisms and adapt as the business evolves, rather than demanding a perfect environment before starting.

How SoftDoes Delivers Risk Management Talent That Performs

SoftDoes is a North America focused software engineering and talent delivery partner serving clients across the US and Canada. When you need to hire risk management consultants, we provide access to carefully vetted senior professionals, not isolated freelancers, through a team delivery model. Our IT consulting and architecture review services integrate risk management into the broader technology strategy, so risk controls connect to real systems, not just spreadsheets.

We offer replacement and scaling guarantees, flexible engagement models from a single specialist to a full pod, and a vetting process that covers technical screening, practical case studies, and culture fit. Independent claims advocacy can reduce claim management failures, and our consultants bring that operational mindset to every engagement.

Take the Next Step

If you are looking to hire a risk management consultant who can protect your business, ensure compliance, and integrate risk into your technology operations, request a discovery call. We will scope your needs, match you with the right senior talent from our network, and get your engagement running within days, not months.

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