Hire Unix Developers With U.S. Support

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

  • Senior Unix Engineers

    Only vetted developers with 5+ years of experience.

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Hire remote Unix Developer

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

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

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

Andrea M.
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.

Andrew V.
Available Now
Andrew 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.
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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
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
Hripsime S.Verified in SoftDoes
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FR 🇫🇷English (C1)Senior
Deep LearningMachine LearningInterpretabilityConvolutional Neural Networks

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

Mario J.
Available Now
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
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
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
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.
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Thomas S.Verified in SoftDoes
Technical leader at a company AI Core
DE 🇩🇪English (C1)Team Lead
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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
Tzechung K.Verified in SoftDoes
Lead AI/ML Developer
US 🇺🇸English (Native)Senior
Claude CodeOpenAI CodexGoogle AntigravityLLM Fine-Tuning

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

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Eugene M.DevOps EngineerAWS / GCP / Terraform / Gitlab
AWS / GCP / Terraform / Gitlab
Rate$53 / hour
LanguagesEnglish
previously at

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Frequently Asked Questions

Everything you need to know about deploying, scaling, and securing your neural agents with SoftDoes. Can’t find an answer?

How quickly can SoftDoes deploy senior engineers with proven Unix expertise?

In most cases we can present qualified, pre vetted candidates within days of a discovery call, because our engineers have already passed technical evaluation before you ever see a profile. The exact timeline depends on how specialized your environment is. A general Linux and shell automation role is usually faster to fill than a niche request for deep AIX LPAR or Solaris zones experience. Once you select a candidate, onboarding moves quickly because we coordinate access, tooling, and delivery oversight with your team directly. That approach typically compresses a search that might drag for months internally into a matter of weeks.

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

Pricing depends on seniority, platform specialization, team size, and engagement length, so we scope it after understanding your environment rather than quoting a generic rate. Most clients choose a dedicated monthly model for ongoing operations and support, while defined programs such as a Solaris to Linux migration can be structured around a delivery pod with clear milestones. Compared with in house hiring, you avoid recruiting fees, long vacancy periods, and the cost of a failed hire. Every engagement includes engineering oversight, so you are paying for managed delivery and accountability, not just individual hours logged.

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

We build every team around meaningful working hour overlap with your core business day, whether you operate on Eastern, Central, Mountain, or Pacific time. Engineers join your standups, planning sessions, and incident channels in real time rather than handing work back and forth overnight. For production support, we agree on coverage windows and escalation paths up front, so patching, maintenance windows, and urgent incidents always have a responsive owner. Because Unix systems often run critical overnight batch jobs, we also plan explicitly how monitoring and alert response work outside standard hours so nothing important falls between the cracks.

What does your technical vetting methodology look like for Unix expertise?

Our vetting is run by practicing engineers, not recruiters scanning for keywords. Candidates work through live troubleshooting exercises on real shell scripts, diagnose process and permission problems, and walk through scenario based architecture reviews such as migrating an AIX batch platform to Linux. We assess scripting discipline, security hardening habits, monitoring and automation experience, and how clearly they communicate under pressure. We also verify production history in commercial Unix and Linux environments through detailed technical conversations about real systems they owned. Only engineers who demonstrate sound judgment across all of these areas are presented to clients for final interviews.

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

You do. Our agreements assign full ownership of all work product to your company, including shell scripts, automation playbooks, configuration files, runbooks, documentation, and any tooling created during the engagement. Engineers work inside your repositories and systems under confidentiality obligations, so code and knowledge stay with you rather than with an individual contractor. This matters especially for Unix environments, where years of operational knowledge often live in scripts and procedures. We also encourage thorough documentation throughout the engagement so that institutional knowledge remains fully transferable to your internal team whenever the engagement eventually changes or ends.

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

Flexibility is built into how we structure engagements. You can add engineers when a migration accelerates, reduce capacity once systems stabilize, or shift skills from migration work toward ongoing operations and security hardening as priorities evolve. We agree on reasonable notice periods up front so both sides can plan transitions without disrupting production. If an engineer is not the right fit, our replacement guarantee means we source and onboard a suitable alternative at no additional risk to you. The goal is to match your team to your actual workload rather than locking you into a fixed headcount that no longer fits.

The Executive Guide to Hiring Unix Expertise

A single bad Unix hire rarely fails loudly. It fails at 2 a.m. when a fragile batch script dies halfway through a payroll run, when an unpatched Solaris box becomes an audit finding, or when a Linux migration stalls for months because nobody understood the AIX quirks buried in the old cron jobs. Meanwhile, a slow hiring pipeline leaves your most critical systems in the hands of whoever happens to remember how they work. The right senior engineer changes that equation within weeks. This playbook gives you a field tested strategy to define, vet, and integrate top tier Unix talent without gambling your roadmap or your uptime.

Why Unix Talent Decides Whether Your Core Systems Hold or Break

What Senior Unix Engineers Own That Order Takers Never Will

Mastery in Unix is not knowing where the ls flags live. It is the judgment to keep revenue critical systems stable while changing them, and the discipline to weigh every shortcut against the cost of an outage. Here is what senior engineers actually carry day to day:

  • End to end ownership of production hosts. They take responsibility for AIX, Solaris, BSD, and Linux servers as living systems, tracking patch levels, storage growth, user access, and service health, rather than waiting for tickets. When something drifts out of policy, they notice first and fix it before anyone files a complaint.
  • Resilient shell automation. They write scripts with strict error handling, careful quoting, structured logging, and POSIX portability, so batch jobs fail safely and visibly instead of silently corrupting data. They treat every scheduled script as production code that deserves review, version control, and a clear owner.
  • Performance diagnosis under load. When a box slows down, they read processes, signals, file descriptors, memory pressure, and disk I/O directly instead of guessing. They know how to trace a bottleneck from the kernel up to the application and explain the fix in terms the business understands.
  • Platform specific depth. They understand LPARs and SMIT on AIX, ZFS and zones on Solaris, and the subtle behavior differences between commercial Unix and Linux distributions. That depth prevents the expensive surprises that appear when teams assume every Unix system behaves exactly like the last one they touched.
  • Security hardening as a habit. They disable unused services, enforce SSH key and sudo policies, configure audit logging, run file integrity checks, and align hosts with CIS benchmarks. Security is built into their daily routine rather than bolted on before an audit, which keeps compliance conversations short and uneventful.
  • Migration risk management. They map legacy dependencies before moving anything, port shell scripts carefully, replace platform specific commands, and validate behavior side by side. Their goal is a migration that finishes without a single surprise weekend, rather than a heroic recovery effort after cutover goes wrong.

The Financial Case for Getting This Hire Right

Deep Unix expertise pays for itself in ways that show up directly on your operating budget and your incident reports:

  • Technical debt reduction. Years of undocumented cron jobs, hardcoded paths, and copy pasted scripts create invisible risk. A senior engineer inventories that debt, consolidates duplicate logic, and documents what remains, which shrinks the blast radius of every future change and frees your team from constant firefighting on legacy batch processes.
  • Faster deployment cycles. When provisioning, patching, and configuration live in Ansible, Puppet, or Chef instead of tribal memory, releases stop waiting on one overloaded administrator. Repeatable automation turns days of manual server preparation into predictable pipeline steps that any qualified team member can trigger and audit with confidence.
  • Infrastructure cost optimization. Experienced engineers right size storage, retire idle hosts, consolidate workloads onto fewer LPARs or zones, and plan realistic migrations from expensive commercial licenses to Linux or cloud platforms. Every one of those moves reduces recurring spend without trading away the stability your customers and regulators expect.
  • System reliability. Proper monitoring through Nagios or Prometheus node exporters, disciplined log management, and hardened configurations mean incidents get caught early and resolved fast. Fewer outages protect revenue, reduce overtime, and keep your on call rotation from burning out the very people you worked so hard to hire.

Laying the Groundwork Before You Open a Single Requisition

Audit Your Real Constraints First

Most failed Unix searches start with a job description written before anyone looked honestly at the environment. Spend a week auditing what you actually run, who touches it, and how you want new talent to work.

Find the Bottleneck That Hurts the Business Most

Start by naming the systemic problem this hire must solve first. Is it a fleet of aging AIX servers running core banking or insurance workloads that nobody fully understands? A Solaris estate approaching end of support? Brittle batch scripts that fail every month end? Or a stalled migration to Linux and cloud infrastructure? Each answer points to a different profile. A migration specialist and a hardening specialist overlap, but they are not interchangeable. Document your operating system versions, scheduled jobs, storage layout, and known failure points. That inventory becomes the brief that keeps every later interview focused on outcomes.

Decide How Much Autonomy the Role Really Has

Next, decide whether you need one embedded Unix specialist who joins an existing platform or SRE team, or a dedicated delivery pod that owns a workstream end to end. An embedded engineer works well when you already have strong technical leadership, clear runbooks, and a backlog that simply needs senior hands. A pod makes sense when the work is a defined program, such as a full AIX to Linux migration, and you lack internal capacity to manage it. Be honest about how much direction your team can actually provide, because senior people stall quickly when nobody can answer their questions.

Weigh In House Hiring Against Vetted Remote Talent

Finally, compare deployment models with clear eyes. Full time in house hiring for Unix roles is slow because the experienced pool is small, competitive, and often concentrated in regulated industries that pay well to retain it. Searches can drag for months while your risk accumulates. Vetted dedicated remote talent, managed by a delivery partner with engineering oversight, compresses that timeline and adds a safety net if the fit is wrong. Many teams blend both, keeping a core internal owner while a partner supplies capacity through structured DevOps and cloud infrastructure services that cover automation and migration work.

Build a Requirement Profile That Attracts the Right People

Generic job specs listing every Unix flavor and every tool ever invented attract generalists and scare away specialists. Instead, define four non negotiable components:

  • Core outcome and mission. State the single result that defines success in the first six months, such as migrating the Solaris batch platform to Linux with zero failed jobs. A sharp mission statement filters candidates instantly and gives the eventual hire a clear yardstick for prioritizing their own work.
  • Technical stack ecosystem. List the exact platforms, shells, schedulers, and automation tools in play, for example AIX with ksh scripts, cron, and Ansible. Precision here prevents mismatched expectations and helps strong candidates recognize immediately that they have solved this exact class of problem before.
  • Decision making authority. Spell out what the engineer can change alone, what requires review, and who signs off on production changes. Senior talent wants real ownership, and ambiguity about authority is one of the fastest ways to lose them or to create dangerous unreviewed changes.
  • System impact. Describe which business processes depend on these hosts, such as payments, telecom billing, or ERP reporting. When candidates understand the stakes, the best ones self select in, and you can probe how they have protected similarly critical workloads in previous roles.
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Vetting and Onboarding Without Leaving Anything to Chance

A Battle Tested Framework for Separating Real Unix Engineers from Resume Polishers

Resumes in this field are full of acronyms that sound impressive and prove nothing. Your process must test judgment on realistic problems, not memory of command flags.

Where Strong Candidates Actually Come From

Traditional recruiters screen for buzzwords. They see AIX, Solaris, and bash on a resume and forward it, with no way to tell whether the candidate ran production fleets or simply logged in occasionally. That mismatch wastes your senior engineers' interview hours. Pre screened engineering networks work differently, because candidates have already been evaluated by practitioners against verified production experience in Unix environments. Tapping a curated talent network shifts your effort from filtering noise to choosing between qualified finalists, which is where executive attention belongs and where hiring speed actually improves.

The Evaluation Pipeline That Reveals Real Judgment

Run a live problem solving session instead of trivia. Hand the candidate a broken shell script with quoting bugs and no error handling, then watch how they diagnose and fix it. Follow with a real world architecture review: a legacy AIX batch platform that must move to Linux, and ask how they would sequence the migration and validate behavior. Add pressure by introducing a simulated outage midway and observing how clearly they communicate. Close with a cross functional conversation involving product or operations leaders to confirm they can explain risk in business language, not just technical shorthand.

The First 90 Days: A Ramp Up Plan That Delivers Early Value

A strong hire still needs a structured start. Use this milestone roadmap to turn access into production impact quickly:

  • Days 1 to 30: Access and discovery. Grant repository, ticketing, monitoring, and SSH access on day one, with sudo scoped appropriately. The engineer inventories hosts, cron jobs, and critical scripts, shadows on call, and ships at least one small production ready fix, such as hardening a fragile script, to prove the workflow end to end.
  • Days 31 to 60: Ownership and stabilization. The engineer takes primary ownership of a defined system area, adds error handling and logging to high risk batch jobs, closes priority patch gaps, and documents runbooks. By the end of this window, incidents in their area should route to them first, with clear escalation paths for anything unusual.
  • Days 61 to 90: Measurable improvement. The engineer delivers a meaningful outcome tied to the original mission, such as migrating a first workload to Linux, automating patching with Ansible, or reducing recurring alerts. They present results and a forward plan to leadership, which confirms the hire is producing real return rather than just keeping systems running.

Making the Final Hiring Decision With Confidence

Signals That Separate a Costly Mistake From a Strategic Win

Watch for these red flags during interviews:

  • Over engineering simple problems. The candidate proposes a full configuration management overhaul when a ten line script fix would solve the issue. That instinct burns budget, delays delivery, and introduces new failure modes into systems that only needed a careful, targeted repair.
  • Tool obsession over business outcome. They talk endlessly about favorite utilities but cannot explain how their work protected revenue, uptime, or compliance. Tools change constantly; engineers who cannot connect technical choices to business results will struggle to prioritize correctly when pressure rises.
  • Inability to explain past failures. Every experienced Unix engineer has broken something in production. Candidates who claim otherwise, or who blame others without describing what they personally learned and changed afterward, are either inexperienced or unwilling to own mistakes, and both are serious risks.
  • Careless scripting habits. Unquoted variables, no exit code checks, and hardcoded paths in their live exercise signal that their production scripts look the same. Those habits are exactly what causes silent batch failures and painful midnight recoveries later.

And look for these green flags:

  • Pragmatic tradeoff analysis. They weigh speed, risk, and maintainability out loud, explaining why they would patch now and refactor later, or the reverse. That reasoning shows they can make sound decisions independently without escalating every choice to your leadership team.
  • Focus on data and system integrity. They ask about backups, rollback plans, and validation before touching anything. Engineers who protect data by default prevent the incidents that cost the most money and reputation, especially in regulated banking, telecom, and insurance environments.
  • Proactive risk identification. Without prompting, they point out weak spots in your scenario, such as a single point of failure or missing audit logging. That instinct means they will surface problems in your real environment before those problems surface themselves.
  • Deep understanding of Unix edge cases. They know where AIX, Solaris, and Linux behave differently, how signals affect running jobs, and why a script works in bash but fails in ksh. That depth is what makes complex migrations predictable instead of painful.

Why Leaders Choose SoftDoes for Unix Engineering

SoftDoes is a North America focused custom software engineering and data and AI partner serving clients across the US and Canada. We supply battle tested senior engineers with verified Unix expertise, and every engagement runs under engineering led delivery oversight, not unmanaged freelancing. We deploy quickly, scale teams up or down as your roadmap shifts, and back every placement with a zero risk replacement guarantee. When your Unix work leans heavily on automation, we pair system engineers with specialists you can hire as dedicated Bash developers to modernize scripts. You get senior execution without carrying the hiring risk alone.

The Bottom Line and Your Next Move

Reliable systems are never an accident; they are the direct result of hiring engineers whose execution protects business performance every single day. If your Unix estate is holding back a migration, an audit, or your growth plans, do not wait for the next outage to force the decision. Book a technical discovery session with SoftDoes solution architects, and we will map your constraints, define the right profile, and show you how quickly vetted senior talent can start delivering.

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