Hire a Cybersecurity Developer

Hire Cybersecurity Developers at SoftDoes — vetted, senior engineers backed by a U.S. delivery team. Start with one, scale to a full team.

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Meet Our Cybersecurity Developers

Discover developers that match your project requirements.

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

Discover More Cybersecurity Developers in the SoftDoes NetworkRegister to view more

Cybersecurity Solutions Our Developers Build

threat detection & monitoring platforms
vulnerability scanning tools
security operations center (SOC) dashboards
identity & access management systems
incident response platforms
endpoint protection tools
security analytics platforms
penetration testing tools
Explore ALL SOLUTIONS

How we select Cybersecurity developers

Not sure which engagement model fits?

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

Explore Services

SECURITY & COMPLIANCe

Cybersecurity products operate with sensitive data, complex transactions, and industry-specific requirements. We build security and compliance considerations into the product architecture from the start.

BUILD SECURELY
  • PROTECT

    [01]
    • Secure data handling
    • End-to-end encryption
    • Data privacy
    • Secure API architecture
  • CONTROL

    [02]
    • Authentication & authorization
    • Audit trails
    • Threat detection
    • Access monitoring
  • COMPLY

    [03]
    • SOC 2 & ISO 27001 workflows
    • Vulnerability disclosure requirements
    • High availability
    • Fault tolerance

FIND THE
RIGHT expert, FASTER

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

How to hire a Cybersecurity Developer

01
BROWSE PROFILESRIGHT NOW'

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

02
Interview1-3 DAYS

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

03
OnboardWEEK ONE

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

Why hire Cybersecurity developers through SoftDoes

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 quickly can SoftDoes deploy senior software engineering talent for Cybersecurity focused projects?

Once your technical and domain requirements are defined, SoftDoes can deploy vetted senior cybersecurity developers within two to four weeks, a fraction of the six months or longer that traditional recruiting channels typically require for senior security engineers. Our pre screened talent network means we are not starting from scratch. We match candidates against your specific threat models, compliance frameworks, cloud platforms, and technical stack requirements, then deliver engineers ready for structured onboarding from day one. For urgent needs such as incident response or pre audit remediation, accelerated deployment timelines are available.

What pricing models and rates should we expect when hiring dedicated Cybersecurity engineering talent?

Cybersecurity talent commands competitive compensation reflecting the acute skills shortage and the high stakes of the domain. Full time salaries for cybersecurity developers range from $100K to $200K annually, with total first year employer cost (including benefits and recruiting fees) often reaching $268,000 or more for senior roles. For staff augmentation, expect onshore (US) senior rates of $110 to $180 per hour, nearshore rates of $55 to $90 per hour, and offshore rates of $30 to $60 per hour. Junior cybersecurity developers charge $50 to $90 per hour, mid level developers charge $90 to $150 per hour, and senior cybersecurity developers charge $150 to $250 per hour. The average yearly cost of outsourced cybersecurity services ranges from $45,000 to $60,000. SoftDoes offers flexible engagement models, including dedicated monthly retainers, project based pricing, and staff augmentation, tailored to your budget, risk profile, and project duration.

How is time zone overlap with North America handled for Cybersecurity engineering teams?

SoftDoes is a North America focused partner, and all engagements are structured to ensure meaningful daily overlap with US and Canadian business hours. Whether your team operates on Eastern, Central, Mountain, or Pacific time, our engineers are available for real time collaboration during your core working hours. This is especially critical for cybersecurity roles, where incident response, security events, and time sensitive compliance activities demand immediate coordination with your internal engineering teams and business stakeholders.

What does your compliance and technical vetting methodology look like for Cybersecurity domain expertise?

Our vetting goes far beyond resume screening and certification checks. Every candidate undergoes live, scenario based technical evaluations: designing secure architectures for regulated workflows, conducting threat analysis, responding to simulated incidents, and demonstrating real world problem solving skills under pressure. We verify domain experience across relevant compliance frameworks (HIPAA, PCI DSS, SOC 2, ISO 27001, NIST), validate certifications like CISSP, CEH, and Certified Information Security Manager, and conduct reference checks that probe for actual ownership of threat modeling, security controls design, and incident response outcomes. For remote hires, we follow identity verification standards aligned with NIST IAL2 or better, and conduct background checks appropriate for elevated access roles.

Who owns the intellectual property produced by engineers working on our Cybersecurity systems?

All intellectual property created by SoftDoes engineers working on your cybersecurity systems belongs entirely to your organization. Our contracts are structured with clear IP assignment clauses that transfer full ownership of all code, documentation, architecture artifacts, security policies, and related deliverables to you from the moment of creation. This includes work product across version control systems, security tooling configurations, and compliance documentation. There is no ambiguity, no shared ownership, and no licensing restrictions. Your data protection and legal teams can review our standard terms during engagement setup.

How flexible are your contracts if our Cybersecurity project scope or team size changes?

Flexibility is built into every SoftDoes engagement. You can scale your cybersecurity engineering team up or down as your threat landscape, compliance calendar, or project requirements shift, without the overhead and legal friction of traditional hiring and termination cycles. Whether you need to add penetration testing specialists ahead of a security audit, ramp up incident response capacity during a threat escalation, or reduce team size after a major deliverable, contract terms are designed to accommodate scope changes with minimal lead time. Our zero risk replacement guarantee also means that if any engineer is not the right fit, we replace them at no additional cost, protecting your timeline and budget.

The Executive Guide to Hiring Software Engineering Talent for Cybersecurity

A single mis hire on a senior cyber security engineering role costs a median of $214,000 when you factor in team drag, rework, lost opportunity, and management overhead, and salary accounts for less than a third of that figure. Meanwhile, every month a critical security role sits unfilled, your attack surface grows, compliance deadlines slip, and your competitors close deals you cannot. This playbook gives you a field tested strategy to define, vet, and integrate top tier software engineering talent tailored to cybersecurity, built from real lessons across regulated industries where failure is not theoretical.

What Actually Separates Senior Cybersecurity Engineers from Order Takers

When you hire cybersecurity developers at the senior level, you are not paying for someone who runs scans and files tickets. You are paying for someone who reshapes your security posture and protects business value. The difference between a senior cyber security engineer and an order taker shows up in daily operational realities that most job descriptions never capture:

  • Threat modeling and defense architecture across system boundaries. They do not just respond to vulnerabilities. They map detection coverage to frameworks like MITRE ATT&CK, reduce your threat surface proactively, and design security controls that hold up under real world pressure across cloud environments and enterprise systems.
  • Secure architecture tradeoff management. They make hard calls on cloud security configurations, API exposure, identity and access management, cryptographic implementations, and legacy system modernization, balancing security risks against performance, cost, and user experience for both technical and business stakeholders.
  • Incident response ownership and forensic depth. They lead production incident response, manage SIEM or XDR platforms, conduct root cause analysis, and close the loop with post incident improvements. They reduce mean time to recovery and turn security events into organizational learning.
  • Regulatory and compliance fluency. Whether it is HIPAA, SOX, PCI DSS, GDPR, or ISO 27001, they understand not just the rules but audit evidence, risk reporting, and external validation. They can speak to compliance requirements with the same confidence they bring to code.
  • Communication under pressure. When a zero day drops or a cloud misconfiguration surfaces, they brief the C suite, coordinate with legal, and drive remediation without creating panic. They translate security concerns into business language.
  • Technical leadership and mentorship. They participate in design reviews, define security standards, mentor junior and mid level engineers, and own parts of your cybersecurity strategy, not just execution tickets.

Cybersecurity developers build secure systems from the ground up. They implement security measures like encryption and firewalls. They conduct vulnerability assessments and penetration testing. They automate security checks in CI/CD pipelines and create secure coding practices to prevent vulnerabilities across the software development lifecycle. These are not "nice to haves." They are the baseline for anyone you trust with your organization's digital assets.

The Business Case: Financial and Operational Impact You Cannot Ignore

Hiring skilled cybersecurity developers requires a targeted approach because the ROI vectors are enormous and the downside risk is existential. Over $8 trillion was lost to cybercrime in a single recent year. Hiring cybersecurity developers costs over 50% less than dealing with a data breach. Here is where deep cyber security tech execution pays for itself:

  • Technical debt reduction and early defect capture. Senior security engineers catch flaws at the design and architecture stage, where fixes cost orders of magnitude less than remediation during incidents or security audits. This directly protects your engineering budget and accelerates delivery.
  • Regulatory compliance assurance. Under implementing HIPAA, SOX, PCI DSS, or GDPR can trigger multi million dollar fines, loss of contracts, and insurance cost spikes. The right talent ensures you pass audits and maintain certifications that unlock revenue, not just avoid penalties. Hiring cybersecurity developers reduces the risk of data breaches and the catastrophic costs that follow.
  • Faster time to market with security built in. Senior engineers embed application security and threat detection directly into the development workflow. The result: fewer rollbacks, less security driven rework, and products that ship with confidence. They enhance security controls without becoming a bottleneck.
  • Operational cost optimization. From consolidating redundant security solutions to reducing alert fatigue, streamlining cloud infrastructure security, and lowering mean time to recovery, senior talent drives measurable savings. They protect organizational data while making your security operations leaner.

The cybersecurity workforce shortage remains acute, with hundreds of thousands of unfilled positions across North America. Industry data shows 71% of organizations report the cybersecurity skills gap continues, with 51% prioritizing senior level skills above all others. Cybersecurity talent is highly sought after and commands competitive compensation. This is a seller's market, and the cost of inaction compounds fast.

Before You Start Searching: The Pre Work That Prevents Expensive Mistakes

Audit Your Technical and Domain Constraints First

Most failed cybersecurity hires trace back to a vague or misaligned role definition. Before you open a requisition, audit the structural constraints and regulatory requirements your new hire must navigate.

Architecture and Compliance Audit

Identify the systemic bottleneck or regulatory constraint your cybersecurity talent must solve first. If your product handles ePHI, the HIPAA Security Rule demands you ensure confidentiality, integrity, and availability of that data, implementing administrative, physical, and technical safeguards, conducting risk analyses, and ensuring workforce compliance. Collect your architecture documentation: cloud platforms in use, data flows, logging infrastructure, secrets management, incident response processes. Map which security standards and frameworks apply, whether that is ISO 27001, NIST SP 800 series, PCI DSS, SOC 2, FISMA, CMMC, or FedRAMP. Determine if there are legal or contractual constraints such as export controls or jurisdiction requirements for handling sensitive data.

Team Dynamics and Autonomy Level

Decide whether you need an embedded domain specialist, for example an AppSec engineer working full time within a product squad, or a shared specialist conducting security reviews across multiple cross functional teams. Understand the span of control: does the role require leading engineering teams, mentoring, driving program strategy, or primarily executing against a defined backlog? Map reporting lines and clarify the level of influence the role must have over design decisions, development practices, risk posture, and regulatory compliance. Senior talent must have decision making autonomy commensurate with responsibility. Without it, you create bottlenecks and frustrate the very people you need most.

Deployment Model Dynamics

Compare the friction of in house FTE hiring against the speed of vetted dedicated remote talent or contract staff augmentation. Evaluate: ramp speed, jurisdiction and legal exposure, IP ownership, total cost including benefits burden, and the ability to scale up or down as your threat landscape changes. In regulated industries, favor US or Canadian jurisdiction and onshore or nearshore talent to reduce legal, privacy, and data protection risk. Contract placements give speed and flexibility but can lack institutional knowledge. FTEs bring continuity but take longer and cost more to recruit. The right answer often involves both: use augmentation to fill gaps quickly while continuing the long hire for permanent roles.

Building the Right Profile, Not Another Generic Job Description

Job descriptions should highlight the impact and challenges of the role. Realistic role requirements attract better candidates for cybersecurity positions. Security engineering roles should define specific outcomes and problems to solve. Generic "cybersecurity engineer" postings attract generic candidates. Define non negotiables across four dimensions:

  • Business outcome alignment. The candidate must have a proven track record delivering measurable outcomes: reducing breach risk, passing security audits, reducing mean time to recovery, enabling secure feature delivery. Their history should show domain metrics tied to business operations, not abstract claims.
  • Technical stack and domain ecosystem. Specify technical stacks such as C, C++, Rust, or Python. Define requirements for cloud platforms, authentication systems, CI/CD pipelines, infrastructure as code, zero trust architecture, containerization, intrusion detection systems, endpoint security, and monitoring. Cybersecurity developers should have at least 7 years of experience. Certifications like CISSP, CEH, or Certified Information Security Manager are valuable as shorthand but only when supported by evidence of practice. Knowledge of tools like Metasploit and Wireshark is crucial for hands on roles. Familiarity with compliance standards like ISO 27001 is important for regulated environments.
  • Decision making authority. Can they enforce security standards, reject unsafe designs, escalate security risks, mentor peers, and interact with leadership? If the role is senior or architect level, they must influence code reviews, architectural decisions, security policies, and governance.
  • System impact. Look for past experience building resilient systems under attack, managing production incidents, improving logging and threat intelligence, and implementing defense in depth. Evidence of previous failures, and how they responded, is often more revealing than a list of successes.
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Vetting and Onboarding Without the Guesswork

A Vetting Framework Built for Real Cybersecurity Expertise

Sourcing Reality

Traditional recruiters filter by keywords and certifications. But many "cybersecurity engineering" resumes are packed with buzzwords and no evidence. Cybersecurity developers can be hired through platforms like Toptal and Lemon.io, but freelance cybersecurity developers from open marketplaces carry significant verification risk. OWASP has warned about impersonation and identity fraud in remote hiring, especially through unvetted channels. Better sources include specialized staffing agencies and engineering talent networks that require hands on experience in production security, incident response, and cloud security. Niche communities often reveal strong cybersecurity candidates who may not actively apply. Establish relationships with potential candidates before recruitment is necessary. When considering remote or nearshore talent, the level of identity verification, background checks, and ability to prove real past work are critical, particularly for roles with elevated access to sensitive data and enterprise systems.

Hands on experience and practical skills often provide stronger hiring signals than education alone. A degree in computer science or computer engineering is a useful baseline, but what matters is demonstrated capability in identifying vulnerabilities, building secure systems, and solving real security issues under production constraints.

Technical and Domain Evaluation Pipeline

Design a pipeline that surfaces what matters and cannot be faked, especially as artificial intelligence tools now allow weak candidates to produce polished resumes and take home assessments. Use hands on evaluations rather than trivial trivia in the recruitment process. Evaluate candidates on practical security problem solving skills during assessments:

  • Live problem solving over take home tests. Have the candidate work through ambiguous scenarios in real time: design a secure API for a healthcare or financial services application, define threat models, respond to a simulated incident. Observe their decision process, not just their answer.
  • Architecture review on real world workflows. Break down how they would build secure pipelines, manage secrets, implement access controls, design data flows, and ensure resilience to evolving threats across cloud environments.
  • Communication under pressure. Can they explain tradeoffs between security and performance, cost, and user experience? Can they articulate security requirements versus business impact for both technical and business stakeholders?
  • Cross functional culture fit. Security is often a "team of one" but demands collaboration with DevOps, product, legal, and engineering teams. Use structured behavioral interviews to gauge communication and teamwork skills. Soft skills like clarity, patience, and assertiveness are not optional.

Include reference checks that probe for actual ownership: "What threat model did they design?" "What security controls did they architect?" "What was the worst incident they responded to, and what changed as a result?" For remote hires, follow identity and document verification standards at NIST IAL2 or better, verify credentials, and check for cleared status if required.

The First 90 Days: A Ramp Up Protocol That Delivers Immediate ROI

A structured 30/60/90 day plan eliminates lost time and misalignment. Without it, senior hires can be underutilized, disengaged, or misaligned with your security operations priorities.

  • First 30 days. Orientation and context absorption. Grant access to code repositories, security policies, compliance documents, threat model documentation, and architecture diagrams. Have them shadow existing security incidents or audits. Clarify responsibilities, decision rights, and the metrics by which success will be judged. Conduct initial code audit reviews so the new hire understands existing technical debt and security posture from day one.
  • Days 31 through 60. Begin contributing to real components. Advise on design reviews, improve threat detection rules, fix vulnerabilities, and push security improvements upstream. Start documentation reviews with a structured feedback loop. Initiate work on vulnerability assessments and secure configuration improvements.
  • Days 61 through 90. Production ready commits or leading small initiatives. Become a trusted advisor to other engineers and business stakeholders. Participate in or lead incident response drills, penetration testing exercises, or compliance readiness tasks. Show measurable improvement: reduced vulnerability backlog, improved compliance posture, faster security review cycles.

Ensure regular check ins, feedback loops, risk reviews, and override authority for critical security risks. Hiring processes must be expedited to attract top cybersecurity talent actively considering offers, and the onboarding experience is part of what retains them. Emphasize continuous learning and development to retain skilled security developers. Ongoing education budgets and professional development opportunities attract top talent. Create pathways for internal talent to transition into cybersecurity roles as your program matures.

Making the Right Call: Signals That Separate Contenders from Pretenders

Red Flags and Green Flags in Cybersecurity Candidates

When you find cybersecurity developers for your shortlist, the interview is where you separate real operators from polished talkers.

Red flags:

  • Tool obsession over business outcomes. Someone who lists ten security solutions but cannot explain why they chose them, what problems they solved, or the ROI they delivered. Tools are means, not ends.
  • Lack of regulatory or compliance awareness. Unfamiliarity with HIPAA, PCI DSS, SOX, or inability to articulate the difference between security controls and compliance requirements. In regulated industries, this is disqualifying.
  • Over engineering simple workflows. Adding heavy cryptographic complexity where simpler, well understood encryption would suffice, or building extreme layers without a clear threat profile. This signals weak problem solving skills and poor tradeoff judgment.
  • Poor communication under ambiguity. Inability to explain tradeoffs, blaming technical debt on others, becoming defensive rather than collaborative when challenged. Security engineers must communicate clearly with C suite leaders, legal teams, and engineering teams alike.

Green flags:

  • Pragmatic tradeoff analysis. Balancing risk, cost, performance, and regulatory compliance when designing features. Able to articulate why a "good enough" control is sometimes the right answer and when it is not.
  • Deep understanding of industry security standards. Can explain how they applied or complied with HIPAA, NIST, ISO 27001, or internal security frameworks in real production contexts, not theoretical scenarios.
  • Focus on data and system integrity. Emphasizing logging, auditing, observability, monitoring, alerting, and recovery, not just prevention. Strong cybersecurity practices demand detection and response capability alongside data protection.
  • Proactive risk identification. Bringing up possible cyber threats not in the requirements, asking clarifying questions early, spotting weak points in architecture, and pushing back appropriately. This is the hallmark of a senior engineer who will ensure security at the system level.

Why SoftDoes Eliminates the Risk Traditional Hiring Cannot

Traditional search firms screen resumes. Generic platforms send you freelance cybersecurity developers with unverified claims. Neither model is built for the stakes of cybersecurity, where a mis hire is not just expensive but potentially catastrophic.

SoftDoes is a North America focused custom software engineering and data and AI partner serving clients across the US and Canada, with specialized expertise in cybersecurity. Here is what that means operationally:

  • Battle tested senior talent with verified domain experience. Every cyber security engineer in our network of defense and security specialists has been vetted through live, scenario based technical evaluations, not keyword matching. Proficiency in secure coding practices, network security, endpoint protection, cloud security, and policy as code is validated against real production work.
  • Engineering led delivery oversight. Your cybersecurity developers operate under structured engineering oversight, not as unmanaged freelancers. This means accountability for security outcomes, not just hours logged.
  • Rapid deployment capability. While traditional recruiting often takes six months or more to fill senior security engineer roles, SoftDoes can deploy vetted cybersecurity developers in weeks, keeping your security posture intact during critical windows.
  • Flexibility to scale up or down. As your threat landscape, project scope, or compliance calendar shifts, scale your team without the overhead and friction of traditional hiring and termination cycles.
  • Zero risk replacement guarantee. If a placement does not meet the standard, we replace them at no additional cost. This directly mitigates the median $214,000 mis hire cost that plagues traditional hiring in this space.

Top cybersecurity developers do not stay on the market long. The hiring process must move fast, vet deeply, and deliver certainty. That is the problem SoftDoes was built to solve.

Your Next Move

Engineering execution quality is the single biggest determinant of whether your cybersecurity program protects business growth or becomes an expensive liability.

Book a technical discovery session with SoftDoes solution architects to define your ideal cybersecurity engineering profile, map your compliance and architecture constraints, and deploy vetted senior talent within weeks, not months.

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