Hire an Industrial Developer

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

Meet Our Industrial Developers

Discover developers that match your project requirements.

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

Discover More Industrial Developers in the SoftDoes NetworkRegister to view more

Industrial Solutions Our Developers Build

manufacturing execution systems (MES)
equipment monitoring platforms
predictive maintenance tools
supply chain & inventory systems
quality management platforms
IoT sensor integration systems
plant floor dashboards
safety & compliance tracking tools
Explore ALL SOLUTIONS

How we select Industrial developers

Not sure which engagement model fits?

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

Explore Services

SECURITY & COMPLIANCe

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

BUILD SECURELY
  • PROTECT

    [01]
    • Secure operational data handling
    • Encryption
    • Data privacy
    • Secure API architecture
  • CONTROL

    [02]
    • Authentication & authorization
    • Audit trails
    • Access control
    • Equipment activity monitoring
  • COMPLY

    [03]
    • ISO 9001-aligned workflows
    • Safety & compliance requirements
    • High availability
    • Fault tolerance

FIND THE
RIGHT expert, FASTER

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

How to hire an Industrial Developer

01
BROWSE PROFILESRIGHT NOW'

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

02
Interview1-3 DAYS

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

03
OnboardWEEK ONE

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

Why hire Industrial developers through SoftDoes

Time to Start
Talent Quality
Technical Vetting
Flexibility
Operational Overhead
Cost Efficiency
cursor
<SoftDoes>
Time to Start
1-2 weeks
Talent Quality
Senior-only engineers
Technical Vetting
Multi-stage screening
Flexibility
Scale up or down anytime
Operational Overhead
As managed as you want
Cost Efficiency
Competitive, fee-free
Talent Marketplaces
Time to Start
1-3 months
Talent Quality
Mixed experience levels
Technical Vetting
One screen, then gone
Flexibility
Contract restrictions
Operational Overhead
Partially managed
Cost Efficiency
Agency markup
In-House Hiring
Time to Start
2-6 months
Talent Quality
Depends on market
Technical Vetting
Internal responsibility
Flexibility
Long-term commitment
Operational Overhead
Fully internal
Cost Efficiency
Highest total cost

Frequently Asked Questions

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

How long does it typically take to hire software engineers with proven experience in Industrial?

Hiring industrial domain experienced senior engineers typically takes longer than hiring generalists. Expect the sourcing, interviewing, and technical vetting process to require eight to twelve weeks, especially when compliance and safety experience are required. If international hiring or security clearances are involved, allow additional time. Working with a partner like SoftDoes that maintains a pre vetted talent pool of dedicated software developers with industrial automation backgrounds can significantly compress this timeline, often to a matter of weeks rather than months.

What does it cost to hire a dedicated software engineer or team with Industrial domain expertise?

The median salary for software engineers is approximately $133,080 per year, but industrial specialists with embedded systems, control systems, PLC, and SCADA skills command a premium. In house senior industrial developers in the US, including salary, benefits, and overhead, typically cost well into the $150,000 to $250,000 or more range annually. Hiring through an agency delivering specialized pods may involve rates in the $120 to $250 per hour range for senior talent. Remote or nearshore specialists can reduce hourly rates, but hidden costs like communication overhead, quality control challenges, and slower ramp up must be factored in. The right question is not just "what does a hire cost?" but "what does a bad hire cost in downtime, compliance failures, and rework?"

What engagement models are available for Industrial projects, such as a dedicated hire, a pod, or a contract?

SoftDoes offers flexible engagement models tailored to industrial project needs. You can engage a single specialist for targeted technical expertise or system integration work. For comprehensive software development projects, a dedicated development team pod provides cross functional coverage including software engineers, OT specialists, data scientists, and project managers. For large industrial organizations, a long term enterprise partnership provides priority access, dedicated teams, and comprehensive support. Each model includes replacement guarantees and the ability to scale up or down as project requirements evolve, giving you a competitive edge over rigid in house only approaches.

How do you ensure time zone alignment with a Industrial focused engineering team?

SoftDoes is a North America focused talent delivery partner. Our engineers operate within US and Canadian time zones, ensuring real time collaboration with your internal teams, plant operators, and stakeholders. This eliminates the communication delays, after hours handoffs, and cultural misalignment that often plague offshore engagements. For industrial projects where real time responsiveness and close coordination with on site operations teams matter, timezone alignment is not a convenience but a necessity.

How does SoftDoes vet engineers for both technical skill and Industrial domain knowledge and compliance requirements?

Our vetting process goes far beyond reviewing resumes for programming languages and computer science credentials. We evaluate candidates on their track record with real industrial projects, including which safety standards they have worked under, which PLC vendors and SCADA platforms they have configured, and how they have handled real time constraints and fail safe design. We use scenario based technical assessments that mirror actual industrial data flows, legacy system integration challenges, and OT/IT boundary security concerns. We also assess problem solving ability, communication skills with operations teams, and documentation practices. Only engineers who demonstrate both deep technical skills and genuine industrial domain expertise join our talent network, ensuring you get the best software developers for your specific project, not generalists learning on your dime.

What kind of support is available after launch for ongoing Industrial software projects?

Industrial software is never finished at deployment. SoftDoes provides ongoing post launch support including maintenance, compliance updates as regulations evolve, security patching, performance optimization, and continuous improvement. Our team delivery model ensures continuity: the same engineers who built your system understand its architecture, its integration points, and its compliance requirements. Whether you need to adapt to new industrial protocols, scale your IIoT data pipelines, modernize legacy components, or respond to audit findings, we provide the long term partnership that keeps your software systems reliable, compliant, and aligned with your evolving business needs.

How to Hire Software Engineers for Industrial

Most companies looking to build or modernize industrial software systems start by hiring generalist software developers, only to discover months later that those engineers lack the domain context needed to work with control systems, safety protocols, and operational technology environments. The result is wasted budget, compliance gaps, and projects that stall before they deliver value. This guide walks you through everything you need to know about sourcing, vetting, and onboarding software engineers with deep industrial automation expertise, from defining your technical requirements to building a team that ships production ready, compliant code from day one.

What Industrial Software Engineering Actually Involves and Why It Matters

Core Tasks and the Industrial Engineering Ecosystem

Software development in the industrial sector is fundamentally different from building web applications or mobile apps. Industrial software engineers work at the intersection of information technology and operational technology, writing code that controls physical machinery, processes real time sensor data, and enforces safety critical logic in environments where failure is not an option.

Here is what experienced software developers in this domain actually do on a daily basis:

  • Design and maintain control system software using PLC programming languages (Structured Text, Ladder Logic, Function Block Diagrams) compliant with IEC 61131 standards, alongside embedded systems programming in C/C++ for resource constrained controllers
  • Build and configure SCADA and HMI interfaces for real time process monitoring, alarm management, and operator interaction, ensuring the software mirrors actual plant workflows
  • Integrate software with industrial hardware and protocols such as Modbus TCP/RTU, EtherCAT, OPC UA, Profibus, and CAN bus, connecting sensors, actuators, robotics, and motors to software systems
  • Develop data pipelines for IIoT and predictive maintenance by collecting operational data from edge devices, cleansing and storing it, and building predictive models that forecast equipment failures before they cause downtime
  • Ensure cybersecurity across OT and IT boundaries by implementing security best practices for networks that connect operational technology to enterprise IT, a critical concern as IT/OT convergence accelerates
  • Maintain long lifecycle codebases with rigorous documentation, version control, backward compatibility, and traceability, because industrial software systems are expected to run reliably for ten or more years

Industrial projects deal with machinery and real time constraints. Real time data processing capabilities are necessary for industrial environments, and industrial software often runs on edge devices with strict latency requirements. Reliability is a critical aspect of industrial software that cannot fail easily, which is why industrial software needs to be fault tolerant and highly resilient. This is not a domain where generic coding skills are sufficient.

Why Deep Industrial Expertise Is a Strategic Priority

Hiring software engineers who already understand industrial manufacturing systems delivers measurable business advantages:

  • Faster time to market with fewer iterations. Domain knowledge reduces the time spent in requirements gathering and eliminates the trial and error that comes when developers lack context about plant operations, safety logic, or regulatory constraints. Platforms with embedded domain logic can cut months of customization.
  • Regulatory compliance and risk mitigation. Knowledge of regulatory compliance is crucial for developers in certain sectors. Engineers familiar with standards like IEC 61508, IEC 61511, ISO 13849, NERC CIP, or FDA requirements build compliance into the architecture from the start, avoiding costly recalls, shutdowns, or fines.
  • Better system reliability and lower operational cost. Fewer defects, more predictable maintenance schedules through predictive maintenance, and easier troubleshooting and upgrades. Deeper domain knowledge helps capture failure modes early, before they become production incidents.
  • Higher user adoption and seamless integration. Operators trust software that mirrors their workflows. When software developers speak the same language as plant operators and OT teams, onboarding is faster and integration with existing MES, ERP, and historian systems is smoother.

Preparing to Hire Industrial Software Engineers

Defining Your Technical and Domain Needs Before You Open a Role

Before you start the hiring process, get clarity on three foundational dimensions. Clear project scope is vital for hiring decisions in industrial software development, and skipping this step is the single biggest reason industrial software projects go over budget.

Project Scope and Regulatory Constraints

Define the functional scope of your project: is this a control system build, an IIoT analytics platform, a SCADA modernization, a predictive maintenance system, or something else? Identify the operational environment (edge, cloud, hybrid), the safety classification of the application, and every relevant standard or regulation. Cybersecurity is critical in projects connecting OT to IT environments, so factor in your IT/OT boundary security requirements as well.

Required Tech Stack and Third Party Integrations

Specify the programming languages your team needs (C/C++, Python, Java, Rust, PLC languages), the hardware platforms in play (Siemens, Rockwell, Schneider, ABB), the SCADA/HMI vendors, database management requirements, communication protocols, and whether the solution lives on premise, on the edge, or in the cloud. Hiring industrial software developers requires understanding IT and OT integration, so be explicit about the integration points between your software systems and your operational infrastructure.

In House Engineers vs. Dedicated Remote Pods

Decide on your team structure. In house hires (full time employees) are best for core, long lived systems because they build institutional knowledge, but carry higher fixed costs including competitive salaries, benefits, and development tools. Dedicated software developers working in a remote pod model offer a strong blend of domain expert staffing without permanent overhead, with flexible scaling. Freelance software developers or contract arrangements through agencies can work for discrete projects but carry more risk around IP, alignment, and consistency. Developers need IT/OT convergence experience to succeed, regardless of the engagement model.

Crafting a Requirement Profile That Attracts the Right Talent

A detailed job description for industrial software developer jobs must go beyond listing programming languages. The strongest requirement profiles cover four elements:

  • The industry mission. Describe the real world problem: what does the plant produce, what process are you automating or modernizing, what outcome matters? This filters for candidates who care about industrial impact, not just code.
  • The tech stack and compliance context. List the specific technologies, protocols, hardware platforms, and standards involved. Employers should define specific programming languages and frameworks needed. Prioritize hiring candidates with familiarity in specific industrial systems and hardware.
  • The team structure. Will the hire join cross functional teams with OT engineers, data scientists, and project managers? Will they work alongside a technical lead? Specify whether this is a solo role or part of a larger software development team.
  • Business impact expectations. What KPIs will this role influence? Reduced downtime, improved throughput, energy savings, cost of compliance, or new revenue via industrial SaaS? Communicating expected business outcomes attracts senior candidates who think beyond tickets and sprints.
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

Finding, Vetting, and Onboarding Your Industrial Software Team

How to Source and Vet Industrial Software Experts

Sourcing Strategy

Recruiting should focus on where industrial developers congregate professionally. Generic job boards attract generalist web developers and mobile developers, not the embedded systems and control systems engineers you need. Use specialized job boards focused on industrial automation and OT/ICS, attend technical conferences, leverage cohort based referrals, and tap into pre vetted talent networks that already screen for domain experience with PLCs, SCADA, and OT cybersecurity. Platforms like GitHub Jobs connect companies with open source programmers, and LinkedIn Recruiter uses AI for job matching, but for industrial roles you need experienced recruiters who understand the difference between a full stack developers background and a controls engineer background.

Software developer demand is projected to grow by 15% by 2034, with roughly 129,200 software developer openings each year, yet software developers represent only about 1% of the US workforce. The talent scarcity is even more acute for engineers who combine software skills with industrial domain knowledge. AI and machine learning skills are increasingly sought after in developers, especially for predictive maintenance and IIoT analytics applications.

Vetting Beyond the Resume

Screening industrial developers should focus on both software and industrial knowledge. The vetting process must go deeper than checking a computer science degree or scanning for many programming languages on a resume. Strong engineering judgment is more important than trivia in technical hiring.

  • Require evidence of past industrial projects. Ask about specifics: which safety standards did they adhere to? What real time constraints did they design for? What PLC vendors and SCADA platforms have they worked with?
  • Test with scenario tasks that mirror your actual data flows, legacy hardware, or integration with sensors and actuators. Include OT/IT boundary challenges, disaster recovery logic, and fail safe design.
  • Evaluate communication skills with operations teams. Communication skills with operations teams are essential for industrial developers, because they need to collaborate daily with plant operators, maintenance crews, and safety engineers.
  • Assess documentation practices. Long term maintenance and documentation are essential for industrial software success, and evaluate documentation practices to ensure ongoing software supportability.
  • Real world commissioning experience is a key candidate differentiator in industrial hiring. Hands on experience in the relevant industrial sector enhances a developer's effectiveness far more than theoretical knowledge.

A good hiring process includes technical assessments and behavioral interviews. Candidates should have strong foundational programming and problem solving skills, but also demonstrate soft skills, interpersonal skills, and the communication ability to bridge the gap between software and operations.

Onboarding and Integration (30/60/90 Day Setup)

A structured onboarding process is what separates hires who deliver quickly from those who flounder for months:

  • First 30 days: Orient the new hire to physical plant environments, production workflows, hardware constraints, existing system architecture, and data flows. Introduce security protocols, code review standards, and version control practices. Legacy system integration is important for most industrial software projects, so ensure the engineer understands the existing codebase and its history.
  • Days 30 through 60: Pair the engineer with existing OT, safety, and operations teams for co working or shadowing. This builds the cross functional understanding that separates top software developers from average ones. Introduce the CI/CD pipelines appropriate for OT environments and the software testing frameworks in use.
  • Days 60 through 90: Assign ownership of small deliverables. Integrate the hire into deployment, maintenance, and patching cycles. By the end of this period, the engineer should be shipping production ready code and participating in compliance validation processes.

Dedicated software developers provide predictable output over time. They reduce handoff friction compared to short term contractors. Hiring dedicated developers improves quality control and accountability, and dedicated developers are essential for ongoing product roadmaps. They offer continuity and technical depth for complex platforms.

Making the Right Decision

Red Flags and Green Flags in Industrial Tech Candidates

During the interview process, watch for these signals:

Red Flags:

  • Ignoring domain constraints. Candidates who dismiss safety standards, regulatory requirements, or operational constraints as "someone else's problem" will create expensive problems downstream. Developers should understand safety standards relevant to industrial machinery.
  • No experience integrating with hardware. If a candidate has never worked with sensors, actuators, PLCs, or industrial protocols, the ramp up time will be significant. Hands on experience with industrial protocols is important for developers.
  • Treating IT/OT security as trivial. Candidates should possess knowledge of industrial cybersecurity principles. Anyone who waves off OT cybersecurity concerns lacks the awareness needed for modern industrial environments.
  • No documentation or maintenance mindset. Industrial software runs for years. Engineers who focus only on building new features but ignore maintainability, backward compatibility, and traceability are a liability.

Green Flags:

  • Strong stories of past industrial projects. Look for quantifiable achievements: reducing downtime, improving OEE, delivering predictive maintenance systems, or meeting compliance deadlines. Legacy system experience is crucial for developer candidates in industrial projects.
  • Familiarity with key protocols and vendors. Engineers who can name the Modbus registers they configured or the Siemens PLC models they programmed bring real world commissioning experience that accelerates your project.
  • Rigorous testing and fail safe design. The best developers describe how they designed safe fail states, handled edge cases in real time systems, and validated software against industrial safety standards.
  • Cross functional collaboration. Engineers who have worked across software, OT, and operations teams, and who demonstrate problem solving skills in ambiguous, hardware constrained environments, consistently deliver the most value.

Why Partnering with SoftDoes Gives You a Competitive Edge

Finding experienced developers with genuine industrial automation expertise is difficult. SoftDoes eliminates that difficulty by providing:

  • Pre vetted senior talent with proven industrial experience. Every engineer in our talent network has demonstrated expertise in control systems, SCADA, IIoT, embedded systems, and industrial protocols. No generalists pretending to understand your domain.
  • A team delivery model, not isolated freelancers. You get a software development team structured as a pod with cross functional coverage: software engineers, OT hardware specialists, data scientists, and security experts working together. This gives you the innovative solutions and technical expertise that a single freelance hire cannot provide.
  • North America focused for seamless alignment. Our teams operate in US and Canadian time zones, understand North American regulatory frameworks, and communicate in plain, direct English. No offshore learning curves or timezone misalignment.
  • Replacement and scaling guarantees. If a team member is not the right fit, we replace them. If your project scope grows, we scale. From a single specialist to a full pod, our flexible engagement models adapt to your needs.
  • Post launch support for the long term. Industrial software is never "done." We support maintenance, compliance updates, DevOps and cloud infrastructure, and continuous improvement after your initial deployment.

Ready to Hire Industrial Engineers?

Stop burning months on generalist hires who lack the domain knowledge to deliver compliant, reliable industrial software. Schedule a discovery call with SoftDoes to discuss your project scope, technical requirements, and team structure. We will match you with pre vetted senior engineers who understand your industry, your tech stack, and your compliance obligations, and who can start contributing within weeks, not quarters.

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