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

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

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

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

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

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

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

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

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

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

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

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

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

Andrew V.
Available Now
Verified in SoftDoesAndrew 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.

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.

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.
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.

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What our Daemonized Software 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.

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RIGHT expert, FASTER

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How to hire a Daemonized Software 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 Daemonized Software Developer through SoftDoes?

In a typical enterprise context, hiring a senior daemon specialist from role definition through onboarding can take eight to twelve weeks. Through SoftDoes, that timeline compresses significantly because our talent network is pre vetted and ready to engage. Most clients receive qualified candidate profiles within days of the initial consultation, and onboarding can begin in as little as four to six weeks. The exact timeline depends on the complexity of your stack, compliance requirements, and the seniority level you need.

What does it cost to hire a Daemonized Software Developer?

Cost varies based on seniority, technology stack, engagement model, and whether the role requires compliance or security clearances. Senior platform and infrastructure engineers with Kubernetes, cloud, and observability expertise command a significant premium over general backend developers. Rather than quoting a generic rate, SoftDoes works with you to define the scope and match you with talent at a price point that reflects the actual value delivered. We encourage evaluating total value over the life of the engagement rather than optimizing for the lowest hourly rate.

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

SoftDoes offers several flexible engagement models to match your needs. You can hire a single dedicated daemon specialist for a focused project or ongoing ownership of a critical service. For larger initiatives, we assemble a full development pod, a small team covering daemon architecture, observability, security, and platform tooling, all managed as a cohesive unit. We also support contract based engagements for time bounded work. Each model includes replacement guarantees and the ability to scale up or down as your project evolves.

How do you ensure time zone alignment with a Daemonized Software Developer?

SoftDoes is a North America focused talent delivery partner. Our engineers are located in or aligned with US and Canadian time zones, ensuring meaningful overlap with your core working hours. For distributed teams, we establish required availability windows and communication protocols during onboarding so that collaboration, standups, and incident response happen in real time without the friction of overnight handoffs.

How does SoftDoes technically vet a Daemonized Software Developer?

Our vetting process goes well beyond resume review. Each candidate completes a technical coding challenge focused on systems programming and background service design, followed by a system design interview where they architect a resilient daemon or auto healing workflow. We assess their ability to articulate trade offs in scalability, fault tolerance, and deployment strategy. Candidates are also evaluated on security mindset, compliance awareness, documentation quality, and automated testing practices. Reference checks specifically target operations and reliability experience to confirm real world ownership of production systems.

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

If a hire does not meet your technical or cultural requirements, SoftDoes provides a replacement guarantee. We will source and onboard a new engineer without restarting the entire process from scratch. If your project scope changes and you need to scale your team up or down, we handle the transition, adding specialists or reducing headcount based on your evolving needs. This flexibility is built into every engagement model so you are never locked into a team size that does not match your current reality.

How to Hire a Daemonized Software Developer

Hiring the wrong infrastructure engineer burns months of runway, stalls product delivery, and leaves your systems fragile at the worst possible time. The right daemonized software developer, on the other hand, transforms your background services into a reliable, scalable foundation that accelerates everything your product teams build on top. This guide walks you through what the role actually involves, how to define your needs, where to find and vet senior talent, and how to make a confident hiring decision.

What a Daemonized Software Developer Does and Why It Matters

From Background Processes to Business Critical Infrastructure

A daemon runs in the background without a terminal, handling tasks that keep your systems alive around the clock. A daemonized software developer is the specialist who architects, builds, and maintains these persistent services. Think of the engineer responsible for your event queue processors, scheduled data pipelines, monitoring agents, and orchestration layers. In computing history, the daemon process originated in Unix systems as a mechanism to perform regular or event driven maintenance without direct user interaction. Today, those same principles power the backbone of modern distributed systems, containerized platforms, and cloud infrastructure.

In practice, this role overlaps heavily with Platform Engineers, Site Reliability Engineers, and Infrastructure Engineers. The common thread: ownership of software that must run indefinitely, recover gracefully, and scale without manual intervention. Daemons handle critical tasks like web traffic, data backups, and automated emails continuously, making these engineers essential to any organization that depends on always on services.

Here is what a daemonized software developer typically does on a daily basis:

  • Architect and maintain background services: long running daemon processes for event processing, job scheduling, data pipeline execution, and system monitoring agents
  • Design service infrastructure: configure containers, Kubernetes clusters, and system level daemons (logging, metrics collection, orchestration) across Linux and FreeBSD environments
  • Implement process supervision and reliability: startup sequencing, graceful shutdown via signal handling, auto recovery, health checks, and process group management using tools like systemd, supervisord, or init systems. Supervisors like systemd monitor daemon processes to ensure they restart automatically on failure.
  • Automate deployment pipelines: CI/CD with versioned releases, rollback capability, blue/green or canary deployments, and artifact management
  • Build observability into every layer: metrics, centralized log aggregation, alerting, and distributed tracing using tools like Prometheus, Grafana, or OpenTelemetry. Centralized logging from daemons makes it easier for IT teams to track performance metrics. Daemons can emit logs for monitoring their activity, giving operations teams real time visibility.
  • Enforce security and compliance: least privilege access, secrets management, policy as code, and resource isolation for regulated environments

Signal handling is implemented in daemons to respond gracefully to operating system signals such as SIGTERM or SIGCLD signals, enabling clean shutdown and resource cleanup. Modern init systems prefer daemons to run in the foreground for better process supervision, though a deep knowledge of the traditional fork, setsid, and daemonize pattern (closing open file descriptors, detaching from the control terminal, resetting the working directory and umask value, redirecting standard input, standard output, and standard error) remains essential for debugging and legacy system support.

Why This Hire Is a Strategic Priority

Getting this hire right delivers concrete, measurable business outcomes:

  • Faster time to market: standardized internal platforms and repeatable deployment reduce friction for every product team, meaning features ship sooner
  • Lower infrastructure cost: properly architected background processes eliminate over provisioning, optimize resource usage, and reduce cloud spend
  • System reliability and uptime: strong SLO and SLI practices minimize downtime, SLA breaches, and costly incident responses. Daemonized architecture supports automation, reliability, and high volume repetitive work.
  • Scalable growth without rearchitecture: systems built for long running, persistent workloads scale horizontally and tolerate load spikes, supporting business growth without refactoring core infrastructure

Hiring daemon experts improves project efficiency and speed, and expert guidance from daemon experts enhances project outcomes across the entire engineering organization.

How to Prepare Before You Open the Role

Define Your Requirements Before Writing a Single Job Post

Before you start sourcing candidates, leadership needs to answer a few pointed questions internally. Skipping this step is the most common reason technical hires fail.

Project Scope and Requirements

What background services or daemons do you actually need built or maintained? Map the specific workloads: are you dealing with event driven systems, data processing pipelines, scheduled jobs, logging infrastructure, or long running monitoring agents? Define the operating system environment (Linux, FreeBSD, or hybrid), the cloud providers in play, and any compliance frameworks (HIPAA, PCI) that constrain architecture decisions. Understanding root filesystem access requirements, network topology, and filesystem dependencies upfront saves weeks of misalignment later.

Team Structure and Engagement Model

Decide how this person fits into your organization. Will they be embedded in a product engineering team, operate as part of a dedicated platform organization, or support multiple teams horizontally? Clarify reporting lines, on call expectations, escalation paths, and cross functional dependencies with security and operations. A dedicated software development team is best for evolving product roadmaps rather than fixed projects, so consider whether you need ongoing ownership or project scoped delivery.

In House vs. Dedicated Remote Talent

For regulated industries like finance or healthcare, in house or tightly governed remote arrangements may be required for compliance. For scale ups, dedicated remote talent opens access to a much wider pool of senior specialists. Evaluate whether your hiring needs are best served through a single specialist, a full team pod, or a hybrid model. The right engagement model depends on the complexity of your daemon software, the duration of the engagement, and how quickly you need to scale.

Writing a Job Description That Attracts the Right Candidates

A generic "DevOps Engineer" posting will not surface the specialist you need. Your job description must cover four elements:

  • Mission statement: articulate what business outcome this role enables. "Own the reliability and scalability of our background processing infrastructure" is far more compelling than "manage servers."
  • Stack and operational context: list specific languages (Go, Rust, Python, Java), infrastructure tools (Terraform, Kubernetes, Docker), observability platforms (Prometheus, Datadog, ELK), and compliance requirements. Vendors should have deep experience in specific technology stacks and industry domains.
  • Team structure and collaboration: describe who they report to, which teams they work alongside, on call rotation expectations, and how success is measured.
  • Growth and impact metrics: define how you will measure success. Deployment frequency, system availability, incident response time, cost savings, and developer satisfaction are all valid indicators. Measurable outcomes should focus on working software delivered rather than just lines of code.
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Sourcing, Vetting, and Onboarding the Right Developer

How to Find and Evaluate Top Daemon Development Talent

Sourcing Strategy

Avoid generic freelancer pools when you need someone who understands process lifecycle management, session handling, and operating system internals. Senior daemonized software developers are rarely found through passive job board postings alone.

Effective sourcing approaches include:

  • Outbound recruiting through specialized networks: target engineers with titles like Platform Engineer, Infrastructure Engineer, Systems Engineer, or SRE. These roles overlap significantly in responsibility with daemon development.
  • Vetted talent delivery partners: organizations like SoftDoes maintain curated networks of pre screened senior talent, compressing the sourcing timeline from months to weeks. Our custom software development services connect you with engineers who have proven background services and infrastructure expertise.
  • Community engagement: architecture talks, open source contributions, and infrastructure focused meetups attract the type of engineer who respects deep system work.

Evaluating technical alignment and communication is crucial when hiring software development teams. Assessing English proficiency is important for effective communication, particularly in distributed team setups.

Vetting Beyond the Resume

Technical screening for this role must go deeper than a standard coding interview:

  • Practical system design task: ask candidates to design a resilient, event processing daemon or an auto healing background job workflow. Look for understanding of process supervision, fault tolerance, and graceful degradation.
  • Analytical and problem solving interview: explore trade offs in scalability vs. cost, consistency vs. availability, single node vs. distributed architecture, and deployment rollback strategies.
  • Culture and compliance fit: for regulated environments, probe for experience with security audits, policy as code, documentation rigor, and automated testing. Integration of agile ceremonies, code documentation, and automated testing is important for teams. Using reliable frameworks like Agile or Scrum helps streamline project tracking.
  • Operations ownership history: confirm the candidate has managed services post deployment, including monitoring, error handling, and on call incident response. This separates true daemon specialists from developers who only write code and hand it off.

It is essential to clarify the mix of junior and senior engineers when evaluating a dedicated development team. Daemon experts can assist with development challenges and project management across the full lifecycle.

Setting Your New Hire Up for Success in 90 Days

A structured onboarding plan prevents your new hire from floundering and accelerates time to impact.

  • First 30 days: environment setup, access provisioning, introduction to current systems and existing daemon processes, internal tools and workflows, monitoring dashboards, and team norms. The goal is full context, not immediate output.
  • Days 30 to 60: begin owning a small service or component. Write and deploy code under supervision, integrate with observability tooling, participate in on call rotations with a mentor, and contribute to documentation.
  • Days 60 to 90: full ownership of a background service or platform component. Deliver measurable improvements in deployment lead time, error rate, or resource usage. Establish feedback loops with product engineering and operations.

Personalized mentoring from daemon experts can elevate project quality during this critical ramp up period.

How to Make a Confident Hiring Decision

Signals That Separate Great Candidates from Risky Ones

Knowing what to look for during interviews saves you from expensive mis hires.

Green flags (strong senior capability):

  • Demonstrated experience designing and operating long running background services or system agents, not just web application endpoints
  • Deep understanding of system internals: process supervision, SIGCLD signals, graceful shutdown, resource leak prevention, concurrency models, and the fork/setsid daemonize pattern
  • Hands on experience with observability, alerting, and defining reliability targets (SLOs, error budgets)
  • Track record in regulated, compliance heavy contexts with evidence of secure defaults, policy as code, and audit readiness

Red flags (warning signals):

  • Heavy focus on UI or frontend work with minimal background process or infrastructure experience
  • No ownership of post deployment responsibilities such as monitoring, error handling, or reliability after shipping
  • Inability to articulate trade offs between consistency and availability, cost and performance, or single node and distributed architectures
  • Avoidance of writing configuration, infrastructure as code, or operating services in production; preference for writing only business logic detached from system constraints

Why SoftDoes Is the Right Partner for This Hire

SoftDoes is a North America focused software engineering and talent delivery partner serving clients across the US and Canada. When you need to hire data entry developers or specialized daemon engineers, our model is built to eliminate the most painful parts of technical hiring.

  • Pre vetted senior talent: every engineer in our network has been screened for infrastructure, background service, and cloud engineering expertise before they ever reach your team
  • Team delivery, not isolated freelancers: our model embeds knowledge sharing, peer review, and an operations mindset into every engagement, producing higher reliability than solo contractors
  • Replacement and scaling guarantees: if a hire does not meet expectations, we provide a replacement. Need to scale up or down? We adjust without the overhead of a new recruiting cycle.
  • Flexible engagement models: hire a single specialist for a focused daemon project or build a full pod covering daemon design, observability, security, and platform tooling
  • Compliance and governance built in: for regulated industries, we have security, data handling, and governance practices already in place

Comprehensive contracts should cover source code ownership, IP assignment, and data security protocols. Contracts should include NDA protection, secure data handling, and IP ownership assignments to protect your organization from day one. Cost effective solutions are a benefit of hiring daemon experts through a partner who manages the vetting, compliance, and operational overhead.

Take the Next Step

If you are ready to stop burning months on recruiting cycles and start building reliable, scalable background infrastructure, the next step is straightforward.

Schedule a discovery call with SoftDoes. We will assess your daemon development needs, match you with pre vetted senior talent, and get your project moving within weeks, not quarters. Understanding the total cost of engagement includes factors beyond just the developer's nominal rate, and evaluating total value is more important than focusing on the lowest hourly rate in pricing models. We will walk you through all of it.

No long term lock in. No talent lottery. Just the right engineer for your systems.

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