Hire Network Analysts Backed by a U.S. Delivery Team

Looking to hire a Network Analyst? Our Network Analysts bring senior-level expertise, backed by a U.S. delivery team.

HIRE NOW
  • 100+

    Fully Vetted Developers

  • 24h

    Average Matching Time

  • 300

    Project Delivered

net-developers-iowa certificate
angular-developers-oklahoma-city certificate
app-development-kansas certificate
ai-company-kansas certificate
ai-company-south-dakota certificate
computer-vision-denver certificate
drupal-developers-wyoming certificate
flutter-developers-maryland certificate
generative-ai-boston certificate
generative-ai-seattle certificate
java-developers-alabama certificate
java-developers-idaho certificate
laravel-developers-denver certificate
machine-learning-kansas-city certificate
nextjs-developer-portland certificate
nodejs-developers-albuquerque certificate
php-developers-little-rock certificate
python-django-developers-denver certificate
react-native-developer-indiana certificate
react-native-developer-nashville certificate
software-developers-albuquerque certificate
software-developers-west-virginia certificate
swift-company-alabama certificate
web-developers-little-rock certificate

Hire remote Network Analyst

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 Network Analysts in the SoftDoes NetworkRegister to view more

What our Network Analysts can build

Not sure which engagement model fits?

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

Explore Services

FIND THE
RIGHT expert, FASTER

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

How to hire a Network Analyst

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 Network Analyst through SoftDoes?

In a typical direct hire search, mid level network analyst positions take roughly five to seven weeks to fill, while senior hires with cloud and network specialization often stretch to ten to fourteen weeks. SoftDoes compresses this timeline dramatically. Because the company maintains a pre vetted pool of senior talent, contractor or dedicated remote engagements with a clearly defined scope can be filled in days to a couple of weeks. The exact timeline depends on the complexity of your infrastructure, the specificity of the role (for example, whether you need deep cloud networking experience in AWS or Azure alongside traditional LAN/WAN skills), and the deployment model you choose. The key difference is that you are not starting from zero; you are selecting from candidates who have already passed rigorous technical evaluation.

What does it cost to hire a Network Analyst?

Network analysts earn an average annual salary of $58,721 in the US for mid level roles, while senior network analysts in the US average between $100,000 and $130,000 or more in base salary depending on location, experience, and specialization. The fully loaded cost of a full time hire, including salary, benefits, taxes, tools, and ramp up, typically approaches 1.75x to 2.0x the base salary. Freelance network analysts can be hired on platforms like Fiverr, and freelance network analysts charge an average of $23.04 per hour, but unmanaged freelancers carry significant risk around reliability, security, and accountability. SoftDoes engagement models are designed to deliver senior caliber talent at a total cost of ownership that accounts for speed to productivity, engineering oversight, and the flexibility to scale, making the effective cost per outcome significantly more favorable than either traditional recruitment or unmanaged contract labor.

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

SoftDoes offers three primary engagement models. Dedicated Hire embeds a full time network analyst into your team for long term stability, support, and design ownership. Pod Model positions the analyst as part of a dedicated infrastructure pod with other specialists, enabling shared responsibility and built in resiliency. Contract or fractional engagement is ideal for time bound projects such as cloud migrations, network security assessments, or one off infrastructure builds, offering higher flexibility with lower fixed cost over the long term. Each model includes engineering led oversight, so you are never left managing an unsupervised contractor. The right model depends on your organization's project pipeline, budget structure, and whether you need ongoing operational support or implementation focused delivery.

How do you ensure time zone alignment with a Network Analyst?

SoftDoes is a North America focused partner, which means time zone alignment is a baseline expectation, not an afterthought. For distributed or remote hires, a minimum of four hours overlapping with your core business hours is standard. Beyond scheduling, alignment is maintained through asynchronous documentation, observability dashboards, runbooks, and structured communication procedures that reduce dependency on synchronous handoffs. For roles that require periodic onsite work, such as hardware configuration at corporate data centers, structured cabling projects, or security audits at specific sites, travel expectations are defined during the requirements capture phase. The goal is seamless collaboration regardless of physical location.

How does SoftDoes technically vet a Network Analyst?

The vetting process is engineering led, not HR driven. It includes live problem solving scenarios where candidates diagnose realistic performance issues or outage conditions, layer by layer. Candidates undergo an architecture review where they are presented with a current or hypothetical network and asked to propose improvements, articulate tradeoffs, and address cost implications. Communication and incident simulation exercises test their ability to perform under pressure, including mock incident reporting and postmortem writing. Cross functional interviews with security, cloud, and devops professionals ensure collaborative fit. The process also reviews certifications (CCNA, CCNP, CompTIA Network+, CompTIA Security+, and cloud networking credentials), past outage case studies, and automation or code samples where available. Understanding of LAN/WAN architectures and routing protocols is essential, and familiarity with cloud networking environments like AWS or Azure is evaluated as a core competency, not a bonus. Hands on experience in supporting and upgrading network systems is weighted heavily alongside the candidate's ability to collaborate across functions.

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

SoftDoes provides a zero risk replacement guarantee. If the initial placement does not meet agreed upon performance standards within the defined window, a replacement is provided rapidly at no additional cost. This eliminates the most expensive risk in traditional hiring: months of sunk cost before acknowledging a mismatch. Flexibility to scale is built into every engagement model. You can add dedicated hires or shift to a pod structure as project demands grow, or scale down to a contract model when the workload decreases. Regular performance reviews at the 30 and 60 day marks ensure fit is assessed early, with the ability to adjust the role, expectations, or personnel before small issues become expensive problems. Demand for computer network architects is projected to grow 6%, and the ability to scale your network team dynamically is a strategic advantage, not a luxury.

The Executive Guide to Hiring a Network Analyst

A single bad network analyst hire does not just waste a salary; it compounds into months of lost productivity, repeated outages, ballooning technical debt, and eroded trust in revenue critical systems. In regulated industries like finance, healthcare, and defense, a misconfigured firewall or overlooked security gap can trigger compliance fines that dwarf any hiring savings. This playbook delivers a field tested strategy to define, vet, and onboard top tier network analyst talent, helping you minimize risk around bad hires, budget overruns, and stalled infrastructure projects.

What Is Actually at Stake When You Hire a Network Analyst

What Separates a Senior Network Analyst from a Ticket Taker

The difference between a senior network analyst and an order taker is not certifications on a resume. It is business impact. A strong network analyst excels in data analysis and teamwork to secure business systems, and their daily operational realities reflect that ownership:

  • Architecture ownership: Designing resilient backbone connectivity, inter region WAN/LAN topologies, cloud transit gateways, and hybrid network configurations. They weigh tradeoffs among latency, cost, and redundancy rather than waiting for someone else to decide.
  • Deep protocol and performance expertise: Diagnosing and preventing packet loss, brownouts, and latency spikes. Network analysts should be proficient in TCP/IP, DNS, DHCP, and BGP protocols, and possess extensive knowledge of routing, OSPF, and MPLS behavior at scale.
  • Security and compliance responsibility: Owning zero trust architecture, firewall policy design, intrusion detection, and vulnerability exposure. In regulated industries, this means ensuring every network change passes HIPAA, PCI DSS, or FedRAMP scrutiny.
  • Automation and observability: Scripting with Python or PowerShell, configuring Infrastructure as Code with Terraform or Ansible, and building real time telemetry dashboards. Automation and scripting skills are no longer optional; they separate modern analysts from legacy CLI operators.
  • Cross functional tradeoff management: Working closely with dev teams, cloud engineers, and security specialists. Balancing speed vs. risk, on prem vs. cloud, and cost vs. reliability requires judgment that cannot be taught in a certification course.
  • Leadership under pressure: Managing incidents, communicating to executives during outages, writing postmortems, and coaching junior staff. Network analysts must communicate technical concepts clearly to non technical stakeholders, or critical decisions get made in the dark.

The Business Case: Financial and Operational Impact

Hiring the right network analyst is not a cost center decision. It is an investment with concrete, measurable returns:

  • Downtime cost mitigation: Data center downtime averages roughly $8,851 per minute, or over $531,000 per hour, in unplanned outage costs. One in five major outages now exceeds $1 million for large enterprises. A senior analyst who prevents even one significant outage per year pays for themselves many times over.
  • Faster deployment and time to market: A senior analyst who can unblock networking dependencies accelerates cloud migrations, API integrations, and application launches. Delays in deployment often cost more in lost opportunity than the analyst's entire compensation.
  • Technical debt reduction: Legacy network configurations, undocumented topology, and manual changes accumulate risk. Documentation and change management processes prevent significant network outages, and investing in cleanup, automation, and observability saves future maintenance and disruption cost.
  • Security and compliance risk mitigation: Poor network design leads to breaches. Costs include regulatory fines, reputational damage, and customer loss. For organizations in industries like e commerce, defense, healthcare, and finance, the exposure is existential, not incremental.

Before You Post the Job: Building Your Hiring Foundation

Auditing Technical Constraints Before the Search Begins

Starting a search without understanding your own infrastructure is like hiring a surgeon without knowing what operation you need. Audit first, then hire.

Architecture and Debt Audit

Identify where your current network is strained. Are you hitting interdatacenter bandwidth limits? Do you have edge redundancy gaps, a lack of observability, or frequent manual errors? Inventory your hardware, vendor lock ins, cloud and on prem mix, and any legacy protocols or VLAN sprawl. Map out expected growth: traffic projections, geographic expansion, and cloud usage over the next 12 to 24 months. Know what failures have occurred and what fixes were patched over. This audit defines the core outcome and mission for your new hire.

Team Dynamics and Autonomy Level

Determine whether the new hire will be embedded into an existing network team or form a dedicated pod with design ownership. Autonomy matters: decisions, budget, and design authority must be clarified before the first interview. Define the reporting structure. Are they reporting to operations, infrastructure, cloud, or security? Will they lead junior technicians or contractors? Misaligned expectations here are one of the top reasons qualified applicants walk away within the first six months.

Deployment Model Dynamics

In house full time FTEs offer deep integration but come with recruitment overhead, benefits cost, and ramp time. Remote or dedicated vetted talent through a talent network offers speed and flexibility but requires clear processes for time zone overlap, communication tools, and periodic onsite work for hardware configuration or installation. Understand the tradeoffs: cost, oversight, time to integrate, and cultural alignment. For organizations committed to scaling quickly, a hybrid model that combines a core in house team with vetted remote specialists often delivers the best balance of reliability and agility.

Engineering the Ideal Profile, Not a Generic Job Spec

Generic job descriptions attract generic candidates. Instead, build a profile around four essential components:

  1. Core outcome and mission: What does success look like after 30, 60, and 90 days? For example: "Reduce network outages by 50%, deliver design for three datacenter cross region links, stabilize backbone variance below 1%." Make this the centerpiece of your job listing.
  2. Technical stack reality: Name your actual hardware and vendor mix (Cisco, Juniper, Arista), cloud providers (AWS, Azure, GCP), SDN/NFV platforms, automation tooling, observability stacks, and firewall vendors. A bachelor's degree in information technology or computer science can be beneficial, and valued industry certifications like Cisco CCNA, CCNP, and CompTIA Network+ validate foundational and advanced routing skills. But real world experience with your specific stack matters more than a wall of acronyms.
  3. Decision making authority: What choices can this person make? Budget allocation, vendor selection, architecture changes, security policy? Clear delegation reduces friction and retains senior talent who refuse to be micromanaged.
  4. Growth trajectory: Is this a senior IC role? Will it evolve into a Lead, Architect, or cross functional position spanning security and cloud? In high demand fields, a clear growth trajectory retains talent. Three years of experience is typically required before promotion, but the path must be visible from day one.
To Contact Page

Let’s Turn Your Idea into Scalable Software

Book a call with the representative to get answers to all the questions you may have.

Contact us

How to Vet and Onboard a Network Analyst Who Actually Delivers

A Vetting Framework That Eliminates Guesswork

Sourcing Reality

Traditional recruiters cast wide nets but deliver weak signal. They may surface high volumes of candidates, but the technical depth required to evaluate a network analyst's ability to troubleshoot a complex routing loop or design a resilient VPN topology is beyond most HR screening processes. Prescreened engineering talent networks, like those maintained by SoftDoes, deliver vetted senior professionals with proven enterprise experience. The tradeoff is straightforward: higher confidence per candidate, faster time to productive deployment.

Active sourcing also matters. Look for candidates in Network Engineering Slack communities, Network Operator Groups, and open source contributions (network automation code, monitoring dashboards). Certifications like CCIE, JNCIE, and AWS Advanced Networking signal commitment, but they are entry filters, not proof of competence. NIST's NICE Framework outlines the skills and tasks pertinent to network analysts and can serve as a solid baseline for defining role requirements. Over 1,000 senior network analyst jobs are available in the US at any given time, which means your best candidates have options. Speed and precision in sourcing are competitive advantages.

Technical Evaluation Pipeline

Technical interviews should cover networking fundamentals and architecture, but the format matters as much as the content. Testing candidates' logical approach to troubleshooting is essential in hiring network analysts. Here is the pipeline that works:

  • Live problem solving over trivia: Set up a real outage or performance scenario. Ask the candidate to walk through diagnosing latency, packet loss, or jitter, layer by layer. Experience with tools like Wireshark is important for network monitoring and analysis, and you will see immediately whether they possess extensive knowledge or are bluffing.
  • Real world scenario architecture review: Present your current network topology (or a realistic facsimile). Ask for a redesign that meets specific SLAs, cost ceilings, and compliance constraints such as encryption and isolation. Evaluate their tradeoff reasoning, not just their answer.
  • Communication under pressure: In a mock incident, have the candidate report to executives and write a postmortem. Can they explain a complex BGP misconfiguration to a non technical VP without drowning in jargon?
  • Cross functional culture fit: Network analysts work closely with security, cloud, and devops teams. Probe alignment on values: documentation, observability, ownership, risk tolerance. Ask about past failures. What did they change after an outage? Attention to detail is crucial for preventing misconfigurations in network systems, and candidates who cannot discuss their own mistakes candidly are a red flag.

The First 90 Days: Turning a New Hire into an Infrastructure Owner

A frictionless ramp up protocol is the difference between a hire that delivers ROI in weeks and one that drifts for months. Map out a 30/60/90 day milestone roadmap:

  • First 30 days: Deep dive into current network architecture, recent incidents, and outage history. Map dependencies. Inventory systems, tools, and external vendors. Establish observability dashboards. Deliver a written health check report with quick wins. Meticulous documentation habits are vital for network analysts to avoid costly mistakes, and this phase sets the standard.
  • Days 31 through 60: Lead a design improvement: redundancy upgrades, transit path optimization, cloud connectivity enhancements. Improve documentation and runbooks. Set up automation for repetitive maintenance tasks. Establish KPIs and baseline metrics for uptime, latency, and incident mean time to resolution.
  • Days 61 through 90 and beyond: Full ownership. The analyst should own a specific network domain, lead maintenance windows and incident war rooms, and begin mentoring junior staff. They should drive process improvements for change control, security reviews, and capacity planning. By day 90, verification successful means they are operating as a force multiplier, not a ticket processor.

Separating the Signal from the Noise in Your Final Decision

Interview Signals: Red Flags vs. Green Flags

After hundreds of hires, the patterns are unmistakable.

Red Flags:

  • Tool obsession over problem solving: "I only use Juniper" or "I must have Arista" without reasoning through tradeoffs. Technologies are means, not identities.
  • Inability to discuss past failures: No ownership of what went wrong in outages or fixes. Every senior analyst has scars. The ones who cannot talk about them are either too junior or too defensive.
  • Poor communication: Cannot articulate technical issues in business terms. Struggles to write clearly or explain without jargon. This analyst will become a bottleneck during every incident.
  • Refusing tradeoffs: Expecting ideal solutions while ignoring cost, time, existing debt, or security constraints. In the real world, every network decision is a tradeoff.

Green Flags:

  • Pragmatic tradeoff analysis: Can balance latency, cost, and redundancy and articulate the rationale. This is the hallmark of someone who has made real decisions under real constraints.
  • Focus on data and system integrity: Monitoring, observability, and metrics driven decisions. They do not guess; they measure.
  • Proactive risk identification: Spotting failure modes before they break. Network analysts frequently handle network traffic analysis and incident investigations, and the best ones prevent incidents, not just respond to them.
  • Evidence of ownership beyond tickets: Driving design, leading incident response, improving infrastructure stacks, mentoring teammates, and refining procedures. This is what separates a senior contributor from a technician.

Why Leading Organizations Choose SoftDoes

SoftDoes is not a staffing agency. It is a North America focused custom software engineering, data, and AI partner serving clients across the US and Canada. When it comes to hiring operations talent or deploying network analysts, the value drivers are structural:

  • Battle tested senior talent only: Not junior analysts posing as mid level professionals. SoftDoes engineers come with design, operations, observability, and incident response skills proven in enterprise environments.
  • Engineering led delivery oversight: Clients do not get unmanaged freelancers. They get vetted professionals backed by senior architectural guidance, code and design reviews, and alignment with company standards.
  • Rapid deployment capability: Because SoftDoes maintains a vetted network of talent, time from requirement to placement is measured in days, not the 10 to 14 weeks typical of senior direct hire searches.
  • Flexible scaling: Add dedicated hires or pods when projects demand it. Scale down when they do not. No long term lock in.
  • Zero risk replacement guarantee: If the initial placement is not the right fit, a replacement is provided rapidly, mitigating both hiring risk and cost.

Your Next Move

Every week you spend with an open network analyst seat or an underperforming hire is a week of compounding risk: accumulating technical debt, deferred projects, and infrastructure that is one misconfiguration away from a major outage. The cost of inaction is not theoretical. It is measured in downtime minutes, lost customers, and missed launches.

If you are ready to deploy a senior network analyst who can own your infrastructure from day one, book a technical discovery session with SoftDoes architects. No obligation. No sales theater. Just a candid conversation about your network, your constraints, and the fastest path to a hire that actually delivers.

Flag icon

U.S.-Based

Discuss Your Project

This is a no-pressure, 30-minute conversation. We will talk through what you are building, identify risks or unknowns, and outline what it would take to do it right.

Certificates

Let's build together.

Talk with a senior engineer about your product idea, architecture, and what it would take to build it.

Upload File