Hire a remote Successfactors Lms Developer

Looking to hire a Successfactors Lms Developer? Our Successfactors Lms experts bring proven, senior-level expertise, backed by a U.S. delivery team.

HIRE NOW
  • 100+

    Fully Vetted Developers

  • 24h

    Average Matching Time

  • 300

    Project Delivered

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

Hire remote Successfactors Lms Developer

Discover developers that match your project requirements.

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

Discover More Successfactors Lms Developers in the SoftDoes NetworkRegister to view more

What our Successfactors Lms Developers can build

Not sure which engagement model fits?

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

Explore Services

FIND THE
RIGHT expert, FASTER

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

How to hire a Successfactors Lms 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 SuccessFactors LMS Developer through SoftDoes?

The typical pipeline for a certified senior SuccessFactors Learning developer with the necessary implementation experience runs four to six weeks, covering sourcing, technical vetting, evaluation, negotiation, and onboarding. If your project involves rare integrations or unusually complex regulatory requirements, the timeline may extend to approximately eight weeks. This is significantly faster than traditional recruiting cycles, which typically stretch to six months or longer for enterprise SAP talent, because SoftDoes maintains a pre vetted pipeline of senior professionals ready for engagement.

What does it cost to hire a SuccessFactors LMS Developer?

Senior SAP SuccessFactors LMS consultants in North America typically fall in the range of $150 to $250 per hour for remote or hybrid engagements, or $180,000 to $250,000 annually as a fully loaded full time equivalent including benefits. The actual cost depends on specialization depth, experience in regulated environments, the scale of your user base, and the complexity of your integration landscape. SoftDoes structures engagements to optimize cost against deliverables, so you pay for outcomes and expertise rather than seat time.

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

SoftDoes offers multiple engagement models to match your operational reality. A dedicated hire embeds a full time SuccessFactors LMS specialist into your team for ongoing ownership. The pod model pairs an LMS specialist with complementary roles (integration engineers, data migration specialists, or project managers) for complex implementations. Contract or time and materials engagements work well for scoped projects with defined deliverables. Outcome based models are also available, tying payment to measurable business results. Each model includes engineering led oversight and the flexibility to adjust as your needs evolve.

How do you ensure time zone alignment with a SuccessFactors LMS Developer?

SoftDoes provides talent primarily based in North America or in regions with substantial overlap to US and Canadian core business hours. For every engagement, we define core collaboration windows, establish communication protocols, and use asynchronous tools to ensure nothing falls through the cracks. When projects benefit from it, we coordinate co located kickoff sessions to build team rapport and accelerate onboarding. The goal is zero friction collaboration regardless of whether the developer is on site or remote.

How does SoftDoes technically vet a SuccessFactors LMS Developer?

Every candidate goes through a multi stage evaluation: certification verification (C_THR88 at minimum, with preference for candidates holding professional level credentials), live system architecture problem solving using real world scenarios, configuration and code walkthroughs, scenario based evaluation under pressure, and soft skills assessment focused on cross functional communication and stakeholder management. We do not rely on resume screening or trivia interviews. The vetting process is designed by engineers who understand what it takes to deliver in enterprise SAP environments, ensuring that only candidates with genuine depth and practical knowledge reach your team.

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

SoftDoes provides a zero risk replacement guarantee. If the developer does not meet your technical or cultural requirements, we replace them at no additional cost and with minimal disruption. Contracts include provisions for sliding scale adjustments, so you can add resources through the pod model during peak phases or scale down as workstreams complete. Knowledge transfer to your internal staff is built into every engagement, and structured sunset plans ensure continuity. You are never locked into a commitment that does not serve your business.

The Executive Guide to Hiring a SuccessFactors LMS Developer

A single bad SuccessFactors LMS hire can quietly drain six figures in lost productivity, stalled compliance programs, and rework before anyone flags the problem. The right placement, by contrast, starts delivering measurable ROI within the first quarter. This playbook gives you a field tested strategy to define, vet, and onboard top tier SuccessFactors LMS developer talent, built from lessons learned across dozens of enterprise implementations and informed by the same framework our talent network uses to match senior engineers to high stakes projects.

What Actually Rides on This Hire

What Separates a Senior SuccessFactors LMS Developer from an Order Taker

The gap between a competent LMS administrator and a senior SuccessFactors LMS consultant who can transform your learning infrastructure is enormous. Here is what the real job looks like on the ground:

  • Business ownership over system configuration, not just feature toggling. A senior hire decides whether a capability should be configured natively, customized, or replaced entirely. For example, migrating competencies from the legacy JDM model to the Center of Capabilities and Job Profile Builder demands architectural judgment that no checkbox certification can validate.
  • Architecting for scale, compliance, and multi country regulatory reality. They manage audit trail expectations (e signatures, document validity), qualification and retraining schedules, curriculum requirement types (contact hours, credit hours, item pools), and data sovereignty across jurisdictions. Security in software requires careful design of roles and permissions for different user types, and the right candidate builds these structures from day one.
  • Deep integration and data mastery across the SAP SuccessFactors ecosystem. Expect hands on proven experience integrating the LMS module with SAP SuccessFactors Employee Central, performance management, recruiting, assessment engines, and external content providers via SCORM or xAPI. Integration Center extracts data from Employee Central, and your hire must know how to orchestrate these data flows efficiently. Assessment of integration capabilities is crucial for effective software implementation.
  • Pragmatic tradeoff management under real constraints. eLearning vs. Instructor Led vs. Virtual delivery. Custom code vs. partner add ons. Speed of delivery vs. long term maintainability. Mobile and offline access vs. enterprise policy. A senior developer navigates these decisions daily.
  • Proactive risk communication and upgrade readiness. They surface compliance gaps, audit exposure, and system limitations before they become crises. They own release impact reviews, interpret SAP's biannual release notes, and validate new features against your environment. Long term support for software solutions should include application management services for updates, and your hire must plan for that future.
  • Certification plus battle tested implementation leadership. Beyond associate level credentials like C_THR88, the ideal candidate has led the learning stream across multiple customer projects. There are 759 SAP SuccessFactors LMS consultant job results globally, and SAP SuccessFactors LMS consultant positions often require strong implementation experience, but only a fraction of those candidates have the leadership depth you need.

The Business Case: Financial and Operational Impact You Can Measure

Hiring the right SuccessFactors LMS developer is not a cost center decision. It is an investment with concrete ROI vectors:

  • Compliance cost avoidance and risk mitigation. Automating mandatory training assigned across your organization, managing certification validity windows, and generating audit ready reports eliminates fines, legal exposure, and insurance costs in regulated industries.
  • Administrative overhead collapse. Organizations have documented shifting from 60% of L&D time spent on system administration to roughly 5% after a properly configured LMS deployment. That frees your team to focus on strategy instead of data entry.
  • Faster time to competence and onboarding velocity. Integrated curricula, personalized learning paths, and adaptive content accelerate new hire productivity within the first 90 days. Training cost savings from reduced ILT, travel, and venue expenses compound quickly.
  • Technical debt reduction and platform scalability. A senior hire eliminates expensive customizations, optimizes infrastructure for mobile and offline access, and ensures upgrade agility. Standardization in configuration practices aligns software with best practices and reduces complexity, protecting your investment across future SAP releases.

Before You Post the Req: Preparing Your Search

Audit Your Technical Constraints First

Before you start seeking candidates, you need an honest internal assessment. Skipping this step is where most hiring failures originate.

Architecture and Debt: What Problem Must This Hire Solve First?

Start by mapping your current state. Is your organization still running competencies on the legacy JDM model, or have you migrated to the Center of Capabilities? Is Job Profile Builder active? Deep expertise in the software being implemented is essential for avoiding common mistakes, and your hire needs to walk into a documented environment, not a mystery.

Catalog every integration point: which HR modules are live (Employee Central, performance, recruiting)? Are there external content providers or third party analytics systems? What content standards are in use? Data migration strategies should encompass user profiles, courses, and compliance histories, so understand the scope of legacy data before you define the role. Learning system configuration is essential for LMS integration, and knowing where your configuration stands today determines the skills you need tomorrow.

Identify your localization and regulatory landscape. Multi jurisdictional compliance requirements, e signature mandates, certification validity windows, and retraining cycles all define the domain expertise your hire must bring. Pre Hire users require a separate Security Domain in LMS, and if your organization handles onboarding flows, this configuration knowledge is non negotiable.

Team Dynamics and Autonomy: Embedded Specialist or Dedicated Pod?

Decide whether this position is a full time embedded specialist focused exclusively on the LMS or someone splitting time across HCM territory. Clarify decision authority: will they own design and architecture, or execute configurations under a lead consultant? The answer shapes your candidate profile dramatically.

Cross functional relationships matter. Your SuccessFactors LMS developer needs tight collaboration with L&D, HR, compliance, IT security, content creators, and project managers. If your team culture siloes these groups, address that before the hire starts.

Deployment Model: In House FTE Friction vs. Vetted Dedicated Remote Talent

Weigh the tradeoffs honestly. A full time FTE gives you institutional knowledge but brings longer ramp times, higher fixed costs, and significant replacement risk if the hire fails. SAP SuccessFactors LMS consultant roles are available in multiple countries, and job postings for SAP SuccessFactors LMS consultants include remote options, which means geography no longer limits your search.

A dedicated remote specialist or a firm with engineering led delivery oversight delivers faster deployment, zero replacement risk, and scalable capacity. Contract flexibility with performance guarantees and deliverable based evaluation protects your budget and timeline. Implementation details must translate business requirements into effective software functionalities regardless of the engagement model.

Engineering the Ideal Profile, Not a Generic Job Spec

Stop writing job descriptions that read like feature checklists. Build a profile around four essential components:

  • Core outcome and mission. Define what the LMS must accomplish for the business: reduce compliance risk, accelerate onboarding, support external learners, integrate with career development. Not "configure course catalog" but "drive measurable reduction in skills gap KPIs." The implementation methodology should include structured timelines with clear milestones tied to these outcomes.
  • Technical stack reality. Must include the full SuccessFactors suite (Learning, Employee Central, Center of Capabilities, Job Profile Builder), integration technologies (APIs, connectors, user connector configurations), content standards (SCORM, xAPI), data migration, and reporting tools. ONB Integration Job manages user roles in Learning, and Learning User Sync Job updates user roles post Onboarding; familiarity with these processes is baseline.
  • Decision making authority. The right hire should have the ability to decide between prepackaged vs. custom, feature vs. workaround, UX vs. compliance tradeoffs. If they cannot negotiate architecture and design decisions, you have hired an order taker.
  • Growth trajectory. The position should scale from initial stabilization to continuous improvement: external learners, content networks, mobile and offline capabilities, AI driven recommendations. The candidate should show evidence of building through these evolutions at previous clients.
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

Separating Contenders from Pretenders: Vetting and Onboarding

A Vetting Framework That Actually Works

Where the Real Candidates Are (and Are Not)

Traditional recruiters often flag "certified" people who have never led the learning stream of an implementation. Many associate level cert holders completed training but lack the proven experience of managing a full project lifecycle. Do not rely solely on CV lines or certifications. Customer references and case studies are important for evaluating consulting partners, and the same principle applies to individual hires.

SAP partner certified consultants and engineering focused talent networks deliver candidates with real provisioning access, release cycle knowledge, and system level experience. LMS consultant jobs are listed with various companies across Europe and North America, but the density of senior talent with genuine implementation depth is thin. Certified partners utilize proven methodologies for software development and deployment, and candidates sourced from these ecosystems typically bring that discipline with them.

The Technical Evaluation Pipeline

Forget trivia questions. Structure your evaluation around real operational challenges:

  • Live problem solving. Present a real scenario: migrating competencies from JDM to JPB with Center of Capabilities, designing curriculum for recurring compliance certifications across US and EMEA, or integrating external content via SCORM. Data migration and integration involve cleansing and mapping legacy records into the new system; observe how the candidate approaches data integrity. Watch for tradeoff discussion: cost, time, user impact.
  • Architecture review. Ask candidates to walk through past system designs. How did they handle scalability, security, upgrade cycles, and audit requirements? Rigorous testing phases include unit testing, system integration testing, and user acceptance testing; does the candidate build these into their delivery process?
  • Communication under pressure. Role play a scenario where a recently released SAP update broke compliance reporting. Can the candidate isolate root cause, communicate risks to executives, and propose mitigation? Evaluate both technical logic and how they frame risk to managers and non technical stakeholders.
  • Cross functional culture fit. Listen for evidence of handling stakeholder conflict, navigating organizational politics, and translating between technical and business teams. A SuccessFactors LMS developer who cannot partner with L&D, compliance, and IT security will create more problems than they solve.

The First 90 Days: From New Hire to Productive Owner

A structured onboarding ramp separates organizations that get immediate ROI from those that watch new hires flounder. Post launch support often includes hypercare periods for troubleshooting and adjustments; apply the same principle to your developer's ramp.

  • Day 1 through 30: Foundation. Complete architecture and debt audit. Document key gaps and integration points. Begin minor configurations to establish ownership. Finish any required "Stay Certified" modules. Identify quick wins that demonstrate business value immediately.
  • Day 31 through 60: Ownership. Take full ownership of at least one major workstream, for example redesigning a curriculum or implementing an assignment profile for compliance training. Lead minor enhancements. Begin knowledge transfer to stakeholders. Start participating in release impact reviews.
  • Day 61 through 90: Delivery. Deliver a defined capability aligned with business requirements, such as automating compliance assignment or eliminating manual reporting. Propose or implement optimization. Own roadmap items. Show measurable ROI: faster instructor led conversion, compliance targets met on deadline, improved learning experience scores across employees.

Making the Final Decision

Interview Signals That Separate Winners from Wasted Budget

Red Flags

  • Tool obsession without business outcomes. Talks SCORM, ILT, and connector types endlessly but cannot articulate how any of it moved a business KPI. Experts bring extensive knowledge of industry best practices for software implementation; candidates who only discuss tools lack that strategic layer.
  • Inability to discuss past failures or tradeoff decisions. If every project was a success with no complications, the candidate is either junior or dishonest.
  • Rigid "out of the box only" mindset. Refusing to consider custom integration when the business case demands it, or conversely, wanting to customize everything, signals poor judgment.
  • Weak stakeholder communication. Either too technical with non technical managers or unable to make compliance risks understandable to executives. This person will create information gaps that slow your entire organization.

Green Flags

  • Pragmatic tradeoff analysis. Demonstrates when to take a workaround vs. build custom, when cost exceeds benefit, and what tradeoffs exist between speed, compliance, and UX. This is the mark of a consultant who can deliver, not just configure.
  • Proactive ownership of risk and data integrity. Talks about what happens when data quality fails, how they approach auditing, versioning, user errors, and certification tracking. They manage risk before it manages them.
  • Continuous learning and staying current. References "Stay Certified" courses, upcoming SAP releases, and emerging capabilities. This person is enhancing your platform's future, not maintaining its past.
  • Cross functional alignment and influence. Describes working with HR, L&D, compliance, and content creators. Can map LMS features to business behaviors: retention, talent paths, skills gap closure. This ability to integrate technical and business thinking is what transforms a hire from good to exceptional.

Why Engineering Leaders Partner with SoftDoes

SoftDoes operates as a North America focused custom software engineering and data and AI partner serving clients across the US and Canada. When it comes to SuccessFactors LMS talent, the strategic advantage is specific:

  • Battle tested senior talent, not junior consultants learning on your budget. Every developer in our pipeline has led multiple SuccessFactors implementations and understands the full complexity of enterprise learning environments.
  • Engineering led delivery oversight. Unlike unmanaged freelancers or body shops, SoftDoes provides managed delivery with senior technical oversight. Your hire does not operate in a vacuum.
  • Rapid deployment capability. Pre vetted developers ready to contribute within days, not months. No more 6 to 12 month recruiting cycles that derail project timelines.
  • Flexible scaling. Scale up or down as project demands and budget constraints shift, without the friction of traditional employment contracts.
  • Zero risk replacement guarantee. If the fit is not right, we replace the developer at no additional cost. Traditional hiring simply cannot offer this.

Your Next Move

Every week you spend searching with the wrong process is a week your compliance programs, onboarding velocity, and learning infrastructure fall further behind. The right SuccessFactors LMS developer, properly vetted and rapidly deployed, changes that trajectory immediately.

Book a technical discovery session with our architects. We will map your current environment, define the exact profile you need, and present pre vetted candidates who can deliver from day one. No obligations. No HR theater. Just a straightforward conversation between engineers about what your business actually needs.

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