Hire Sys Admin Developers Backed by a U.S. Delivery Team

Looking to hire a Sys Admin Developer? Our Sys Admin experts bring proven, 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 Sys Admin Developer

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 Sys Admin Developers in the SoftDoes NetworkRegister to view more

What our Sys Admin Developers 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 Sys Admin 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.

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 Sys Admin Developer through SoftDoes?

Typical cycles range from one to six weeks depending on the seniority and specialization required. For mid to senior professionals focused on cloud infrastructure and tooling, we often present pre vetted candidates within days because our talent network is continuously curated. Senior hires requiring system design expertise, panel interviews, practical test assignments, and reference checks naturally push toward the longer end of that range. The average time to match a system administrator through our network is under 24 hours, though the complete evaluation and onboarding process takes longer to ensure quality.

What does it cost to hire a Sys Admin Developer?

In North America, senior Sys Admin Developer and DevOps roles typically command total packages in the range of $140,000 to $250,000 or more for full time positions. Contractor or remote rates vary from $80 to $200 per hour depending on working experience, stack depth, and region. Factor in onboarding time, tooling costs, and shadowing alongside the base compensation. The real cost equation also includes the infrastructure savings a strong hire generates through architectural optimization, which often offsets a significant portion of their compensation. Hiring freelance system administrators saves money compared to full time staff for shorter engagements, but long term ownership roles benefit from the stability of a dedicated professional.

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

SoftDoes offers three primary models. A dedicated remote hire provides deep alignment with your team and lighter overhead than a traditional full time employee. A pod model groups an infrastructure specialist, a developer, and a security focused engineer into a single accountable unit, ideal for companies managing complex projects across multiple cloud services. A contract or freelance engagement works for well scoped, short term tasks but carries higher risk for roles requiring long term ownership and institutional knowledge. We help you evaluate which model fits your current business priorities and can transition between models as your needs evolve.

How do you ensure time zone alignment with a Sys Admin Developer?

Our talent network is primarily North America based, which immediately eliminates the most common time zone friction. For every engagement, we define overlapping core hours, set explicit on call expectations, and establish SLAs for incident response. If your service requires coverage across additional zones, we structure teams to include core overlap windows and clear escalation protocols. The goal is seamless collaboration without the communication gaps that plague poorly managed remote teams.

How does SoftDoes technically vet a Sys Admin Developer?

Our vetting process mirrors what the best engineering organizations run internally. We begin with a profile screen focused on real infrastructure ownership, not just titles. Candidates then complete practical exercises: writing IaC modules, remediating simulated incidents, and demonstrating troubleshooting skills on realistic scenarios. Next comes a live system design interview where we evaluate architectural thinking, tradeoff reasoning, and the ability to plan for failure. We assess communication under pressure through scenario based rounds, and we complete thorough reference checks verifying delivery, reliability, and culture fit. We use structured scorecards with defined competency thresholds rather than subjective impressions, and we require no critical gaps. We test on real world problems, not puzzles or trivia.

What happens if the Sys Admin Developer isn't the right fit, or I need to scale up or down?

SoftDoes offers a zero risk replacement guarantee within a defined early period if the match does not meet your engineering standards. Scaling is built into every engagement model: you can add more senior sys admin developers, shift to a pod structure, or convert a contract arrangement to a full time dedicated hire as your requirements change. We build governance into the onboarding process so that by the end of the first 90 days, we review outcome metrics together and adjust the engagement to fit your next phase of growth. Incorrect vetting tends to result in detection of mismatches around week nine of employment, so our structured approach is designed to surface issues far earlier, saving you weeks of wasted time and cost.

The Executive Guide to Hiring a Sys Admin Developer

A single bad infrastructure hire can quietly drain six figures in lost velocity, rework, and downstream outages before anyone flags the problem. The cost of a bad engineering hire often runs 1.5 to 3 times the annual salary when you factor in onboarding, lost momentum, and senior staff pulled into damage control. This playbook gives you a field tested strategy to define, vet, and onboard top tier Sys Admin Developer talent, built from real lessons in the engineering trenches so you never absorb that cost again.

The Real Stakes: Why This Hire Can Make or Break Your Infrastructure

What Separates a Senior Sys Admin Developer from an Order Taker

Most companies post a generic system administrator job description, collect resumes listing the same twenty tools, and hope for the best. That approach fails because the role has evolved far beyond patching servers and resetting passwords. A true Sys Admin Developer, sometimes called a system admin developer in shorthand, owns your infrastructure end to end and makes the architectural decisions that determine whether your systems scale or collapse under pressure. System Administrators manage computer networks and servers, but the senior variant does something fundamentally different: they engineer reliability into every layer.

Here is what a dedicated professional in this role actually does on a daily basis:

  • Owns deployment pipelines and infrastructure as code using tools like Terraform, CloudFormation, or Pulumi, eliminating configuration drift and manual setup errors across environments.
  • Designs for failure and scalability, building fault tolerant architectures with redundancy, auto scaling, and disaster recovery baked in. Backup and disaster recovery plans are key responsibilities for systems administrators at every level.
  • Automates toil relentlessly, writing scripts in PowerShell, Python, or Bash to replace repetitive tasks. Candidates should possess automation skills using languages like PowerShell or Python to deliver real operational leverage.
  • Leads incident management and post mortem analysis, triaging outages, coordinating response, and ensuring the same failure never repeats. Systems administrators must operate secure configurations and monitor for vulnerabilities as part of this process.
  • Manages observability and capacity planning, implementing monitoring stacks (Prometheus, Grafana, ELK), defining SLOs and SLIs, and reading system logs to catch problems before customers notice. Strong analytical skills are necessary for troubleshooting by reading system logs effectively.
  • Bridges engineering and business, translating risk, cost, and tradeoff decisions into language executives and product teams can act on. Communicating technical issues clearly is essential for sysadmins when interacting with non technical users.

Deep proficiency in Windows Server and Linux is essential for system administration, and experience with cloud platforms like AWS or Azure is important for systems admins operating in modern environments. They handle software upgrades and new hardware installations, but more critically, they improve system performance, security, and stability of systems across your entire stack. A security first mindset is crucial in every system administration task they touch.

The Business Case: Financial and Operational Impact

If your infrastructure is fragile, every engineering team pays the tax. Here is the concrete ROI a strong hire delivers:

  • Technical debt reduction - Without someone owning stability, you accumulate fragile deployments, undocumented configuration drift, and manual patches. A senior hire eliminates that drag, accelerating feature delivery and reducing rework cycles. System administration is essential for day to day operations in organizations of every size.
  • Faster deployment cycles - Automated CI/CD, repeatable infrastructure, and always on monitoring compress release timelines from weeks of manual coordination to deploy per commit velocity. This directly shortens your time to market and lets product teams iterate without waiting on operations.
  • Infrastructure cost optimization - Cloud cost leakage from overprovisioning, unmonitored logging, and idle resources silently bleeds budget. A senior system administrator identifies those inefficiencies, implements auto scaling, selects reserved or spot capacity, and can realistically cut infrastructure spend by 20% to 40%.
  • Risk mitigation in regulated environments - Companies in finance, healthcare, and energy face compliance penalties, customer trust erosion, and brand damage when security or uptime fails. Improving system performance and security is a key responsibility that protects you from consequences far more expensive than the hire itself.

Preparing to Search: Audit Before You Source

Mapping Your Technical Constraints Before Opening a Requisition

Skipping the internal audit is the single most common reason companies end up with a mis hire. You need clarity on what this person will fix first, or you will evaluate candidates against the wrong criteria.

Architecture and Debt Audit

What immediate problems demand attention? Map out your current pain points with precision: Is the infrastructure built on sprawling monoliths with undocumented configuration drift? Are deployments manual? Are there recurring incidents with no post mortem process? What cloud services and environments are you running? How much legacy versus new infrastructure exists? Core duties of a systems administrator include patching software and managing user accounts, but your audit should reveal whether your real need is someone who can fix foundational architecture or maintain an already stable environment. The answer shapes the entire candidate profile.

Team Dynamics and Autonomy Level

Will this hire be an embedded specialist inside an existing engineering team, or will they lead a small infrastructure pod with authority to make decisions? The autonomy versus oversight tradeoff matters enormously. High ownership roles demand senior candidates with proven experience building or leading infrastructure from scratch. Low autonomy roles accept less experience but carry higher turnover risk because strong professionals will not stay long doing ticket work with no decision making authority. They ensure high availability and scalability of IT systems, but only if you give them the mandate to do so.

Deployment Model Dynamics

Evaluate whether this role requires an in house full time hire, a contractor, or a vetted dedicated remote talent model through a DevOps and cloud infrastructure partner. Each model has real tradeoffs in cost, control, cultural alignment, and replacement risk. Remote teams require overlapping core hours, clear on call expectations, and defined SLAs. Full time gives control but adds HR overhead and benefits cost. Freelance system administrators are in high demand for project based work, and hiring freelancers can save money compared to full time staff, but they introduce retention and loyalty risk for long term ownership. Small businesses and enterprises alike need to weigh these dynamics honestly before posting.

Engineering the Ideal Profile: Outcomes Over Generic Job Specs

Stop writing job descriptions that list forty tools. Engineer a profile around four components that predict actual success:

  • Core outcome and mission - Frame the role around measurable results: "Ensure 99.99% uptime across all client facing services," "Reduce deployment lead time to under 30 minutes," "Automate 80% of repetitive operations." The person you hire must own these outcomes, not just complete tasks.
  • Technical stack reality - Be specific about your cloud providers, IaC framework, CI/CD stack, observability tools, operating systems, containers, and orchestration layers. Do not list dozens of tools superficially. Require depth in the pillars you actually use. Real world operational experience is a strong predictor of success for sysadmins, not a long list of certifications.
  • Decision making authority - Clarify whether this hire will choose tools, resolve architecture tensions, and manage cost versus security tradeoffs. The best candidates have working experience making those calls under pressure, and they will ask about this authority during interviews. If you cannot articulate it, you will lose them to companies that can.
  • Growth trajectory - Senior professionals want to evolve: scaling global infrastructure, moving into platform engineering or SRE leadership, adopting new technology. If they see only maintenance forever, expect burnout and attrition within eighteen months. Lifecycle management of the role itself matters.
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

Vetting and Onboarding: Locking In Quality from Day One

A Battle Tested Vetting Framework That Actually Predicts Performance

Sourcing Reality

Traditional recruiters often inflate titles, mask gaps in knowledge, and optimize for volume over quality. For senior infrastructure hires, a vetted talent network or engineering first partner dramatically compresses time to hire while raising candidate quality. Firms that employ structured, multi stage vetting funnels see mis hire rates drop from industry norms of roughly 15% to 25% down to low single digits. When hiring system administrators, signal quality in sourcing determines everything downstream. Freelance system administrators can improve system performance and security when properly vetted, but unmanaged freelance platforms carry real risk.

Technical Evaluation Pipeline

Your evaluation process needs to test what the job actually demands, not trivia. Testing hands on troubleshooting is vital for hiring a systems administrator. Here is the pipeline that works:

  • Profile and project match screening - Look for depth of ownership, not breadth of tool lists. Verify actual involvement in architecture, on call rotations, and incident response. Confirm titles, start and end dates, and scope. Candidates may take 4 to 6 hours to complete the full hiring process, and that investment is worth it on both sides.
  • Asynchronous work sample - Assign a small, realistic exercise: debugging an infrastructure issue, writing an IaC module, configuring a monitoring alert, or scripting an automation. This mirrors what sys admin developers actually do and separates practitioners from interviewers who only talk well.
  • Live system design conversation - Evaluate how they plan for scale, failure modes, disaster recovery, and capacity. Ask about tradeoffs: cost versus reliability, speed versus security. This is where you assess the ability to think architecturally, not just execute. User access control involves managing permissions in Active Directory settings, and a strong candidate should be able to walk through how they implement the principle of least privilege in practice.
  • Communication under pressure - Present a simulated incident scenario and evaluate how they triage, escalate, and communicate with both engineers and non technical stakeholders. This round reveals whether they can assist cross functional teams during real outages. System Administrators provide technical support and training to users, and this skill must be tested, not assumed.
  • Reference checks - Verify delivery on infrastructure projects, ownership culture, and reliability with prior managers. Documentation habits are indicators of a reliable systems administrator, so ask references specifically about how the candidate maintained documentation, reporting, and knowledge transfer.

Use a structured scorecard with specific competencies: ownership, tradeoff reasoning, debugging and incident handling, observability, capacity planning, cloud infrastructure tools, security expertise, and communication skills. Score each on a defined scale with no critical gaps allowed below threshold. Avoid relying on sparse subjective impressions.

The First 90 Days: A Frictionless Ramp Up Protocol

Onboarding determines whether your hire delivers ROI or drifts into low impact maintenance. Here is the milestone roadmap:

Days 1 through 30: Immersion and Quick Wins Provide a deep architecture tour covering all systems, existing documentation, known vulnerabilities, and current monitoring and alerting setup. Assign small, low risk tasks: fix errors, resolve performance tickets, implement minor automations. Pair the new hire with senior operations employees for shadowing. Establish communication expectations for on call rotations, alert protocols, and reporting cadences. Ensure complete access and security compliance from day one. The installation of proper tooling and environment setup should be complete before they write their first line of code.

Days 30 through 60: Expanding Ownership Transition ownership of non critical subsystems. The hire should be automating scripts, extending monitoring coverage, and contributing to infrastructure design. They should lead small incident responses, begin code reviewing infrastructure as code, and suggest optimizations or tradeoffs. Evaluate their ability to communicate with stakeholders across engineering, product, and security. Testing their judgment on real decisions during this phase reveals whether they can work independently at the level you need.

Days 60 through 90: Full Ownership and Measurable Impact By day 90, the hire should own critical systems, lead design discussions, drive deployment pipeline enhancements, and deliver measurable improvements: reduced downtime, faster deploy to production latency, cost savings, fewer manual interventions. They should participate in and ideally lead post mortems, demonstrate domain expertise across your stack, and build trust with the broader team. Evaluate against the core outcome defined at hire and plan the next growth phase. If these milestones are not met, address the gap immediately rather than waiting for the problem to compound.

Making the Call: Signals That Predict Long Term Success

Interview Signals: Red Flags vs. Green Flags

After hundreds of infrastructure hires, these are the signals that reliably predict outcomes:

Red Flags:

  • Tool obsession without problem context - They list every technology on their resume but cannot explain why they chose one approach over another or what tradeoffs they managed. Overemphasis on fancy tools rather than the business problems those tools solved is a consistent predictor of underperformance.
  • Inability to discuss past failures - Every experienced system administrator has weathered outages and made mistakes. If a candidate cannot own a past failure and articulate what they learned, they lack the self awareness critical for high stakes infrastructure roles.
  • Rigid mindset under constraint - When you introduce a budget limit, a legacy compatibility requirement, or a compressed timeline, a strong candidate adapts. A weak one insists on the "right" way without acknowledging the real world. Overengineering inert systems is a costly habit.
  • No questions about reliability, observability, or incidents - A detail oriented senior hire will always ask about your monitoring stack, incident process, and on call expectations. If they do not, they are either not interested or not experienced enough to know what matters.

Green Flags:

  • Pragmatic tradeoff analysis - They evaluate cost versus risk versus speed with nuance, not absolutes. They can articulate when "good enough" is the right engineering decision and when perfection is worth the investment.
  • Focus on data and system integrity - They talk about logs, metrics, alerting thresholds, and data quality before they talk about tooling. Their instinct is to measure before they change.
  • Proactive risk identification - They spot security gaps, single points of failure, and scaling bottlenecks before being asked. A security first mindset and the habit of implementing least privilege access control are second nature.
  • Clear communication with non engineers - They can explain infrastructure risk and tradeoffs to clients, product managers, and executives without jargon. This ability to bridge technical and business conversations is rare and invaluable.

The SoftDoes Strategic Advantage

SoftDoes exists to eliminate the hiring risk that keeps CTOs up at night. As a North America focused custom software engineering and data and AI partner serving companies across the US and Canada, we bring a fundamentally different model to infrastructure talent deployment.

Our senior sys admin and DevOps professionals are battle tested against real infrastructure challenges: ownership of complex systems, tradeoff reasoning under pressure, incident leadership, and cross functional communication. Every candidate in our network has passed the same multi stage vetting framework described in this guide before they ever reach your team.

What this means for you:

  • Engineering led delivery oversight, not unmanaged freelance talent. Every engagement includes active technical governance.
  • Rapid deployment capability: access pre vetted senior talent in days, not months.
  • Flexible scaling: add more professionals, shift to a pod model, or convert contract to full time as your needs evolve.
  • Zero risk replacement guarantee: if the fit is not right within a defined early period, we replace at no additional cost.

The average time to match a system administrator through our network is under 24 hours. We focus on proven experience, not resume keywords.

Your Next Move

Every week spent with the wrong hire, or no hire at all, compounds in lost velocity, mounting technical debt, and infrastructure risk. The process outlined here gives you the framework; SoftDoes gives you the execution.

Book a technical discovery session with our architects. We will audit your infrastructure needs, map the ideal candidate profile, and present vetted senior talent ready to deliver from week one. No long term commitment required. Just results.

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