Hire an Ecommerce Developer

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

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Meet Our Ecommerce 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 Ecommerce Developers in the SoftDoes NetworkRegister to view more

Ecommerce Solutions Our Developers Build

online storefronts
checkout & payment systems
inventory management platforms
order fulfillment systems
product recommendation engines
customer loyalty platforms
marketplace platforms
returns & logistics management tools
Explore ALL SOLUTIONS

How we select Ecommerce 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

Ecommerce 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 payment data handling
    • Encryption
    • Data privacy
    • Secure API architecture
  • CONTROL

    [02]
    • Authentication & authorization
    • Audit trails
    • Fraud prevention
    • Transaction monitoring
  • COMPLY

    [03]
    • PCI DSS workflows
    • Consumer protection 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 Ecommerce 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.

Numbers Don’t Lie

Recent projects showcasing how we design, engineer, and deliver production-ready software solutions.

2025

FORBIDDEN ALCHEMY

Forbidden Alchemy is a Shopify-based e-commerce store created for a bold, underground fashion brand rooted in metalcore and occult aesthetics. The goal was to deliver a high-impact online experience that reflects the brand’s dark identity while providing smooth, conversion-focused shopping for mobile-first users.
Outcome
We developed a custom Shopify theme, immersive product experiences, and mobile-responsive UX. Every visual element—from typography to interactions—was tailored to strengthen the emotional pull of the brand within alternative subcultures.
  • 68%Faster Checkout
  • 41%Repeat Customers
  • 35%Cart Abandonment
View Full Case Study
FORBIDDEN ALCHEMY case study screenshot

Why hire Ecommerce 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 quickly can SoftDoes deploy senior software engineering talent for Ecommerce focused projects?

SoftDoes maintains a pre vetted pool of senior engineers with hands on experience across ecommerce platforms such as Shopify Plus, headless commerce, B2B, and omnichannel systems. We deliver talent matched to your stack and domain within 7 to 14 days. For simple scope hires, onboarding with access provisioning and tool orientation happens in the first sprint. A significant portion of hiring decisions should be based on relevant industry experience, and our vetting process ensures every candidate has that experience before they reach your team.

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

Rates depend on seniority, stack specialization, ownership scope, location, and deliverable complexity. For senior ecommerce engineers within North America, fully loaded (salary plus benefits plus overhead), expect between $150,000 and $210,000 or more annually. If hiring remote or subscription basis talent through software companies like SoftDoes, blended total cost of ownership generally lands between $3,000 to $10,000 per month per dedicated senior developer, depending on region and responsibilities. These tailored solutions let you scale investment to match your ecommerce growth trajectory without the fixed cost burden of traditional in house hiring.

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

SoftDoes structures remote engagements to ensure at least 4 hours of overlap with your core operating hours. We assign engineers in locations with compatible time zones and back them with follow the sun coverage for monitoring and support during high traffic windows or peak season events. This model ensures the entire team can collaborate in real time on critical decisions while maintaining continuous operational coverage for your ecommerce store.

What does your compliance and technical vetting methodology look like for Ecommerce domain expertise?

We run a multi stage vetting process: portfolio review of actual systems live in production, technical deep dive covering architecture, performance, and security, scenario based assessment on real ecommerce workflows, peer code review, and domain case studies covering payments, catalog management, and smooth integration with third party systems. We ensure candidates can demonstrate compliance with standards like PCI DSS, data privacy laws, and secure third party integrations. Hiring an ecommerce developer requires evaluating their technical skills and business understanding in tandem; our process tests both.

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

All code, designs, and deliverables you pay for transfer with full IP ownership to your company. SoftDoes signs contracts specifying clear assignment of rights and offers ongoing support for licensing or compliance issues if external libraries or third party code are involved. Your digital products, custom features, and brand identity assets remain entirely yours.

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

SoftDoes offers scalable engagement models: dedicated teams, flexible pods, and subscription based resource allocation. You can scale up or down month to month with advance notice. Contracts include a zero risk replacement guarantee in case continuity or performance falters. Whether your ecommerce business is expanding into new markets, consolidating operations, or pivoting its business model, our contract structure adapts to your evolving project scope without locking you into rigid commitments.

The Executive Guide to Hiring Software Engineering Talent for Ecommerce

A single mis hire on a critical ecommerce project does not just waste a salary; it stalls product launches, breaks checkout flows, and exposes your business to regulatory penalties. Senior ecommerce engineers with verified domain experience move revenue levers from day one, improving conversion, uptime, and compliance posture in ways that compound across every transaction. This playbook delivers a field tested strategy to define your requirements, vet candidates with precision, and integrate top tier software engineering talent into your ecommerce operations.

What a Bad Hire Actually Costs in Online Retail

What Separates Senior Ecommerce Engineers from Developers Who Ship Features

Inside high stakes online retail environments, senior engineers operate at the intersection of code, data, regulation, and customer behavior. The work is not "build feature X." It is ensuring systems hold under load, satisfy financial compliance, and protect the business from legal and reputational exposure. These are the operational realities that matter in daily execution:

  • Catalog and inventory architecture at scale: multi warehouse, real time inventory sync, complex variant attributes, SKU explosion across large product catalogs, and automated restocking logic. Catalog size alone can break naive data models.
  • Checkout and payment flow ownership: PCI DSS compliance, multi gateway fallbacks (Stripe, PayPal, and proprietary processors), handling declines, partial captures, refunds, and chargebacks. Ecommerce developers integrate payment gateways and third party systems as a core competency, not an afterthought. Developers should prioritize data safety and correct payment gateway integration.
  • Performance engineering: page speed directly impacts sales and search engine optimization. Improving site speed can boost conversion rates by 7%. Ecommerce web developers must be fluent in image optimization and caching strategies, server side versus static rendering tradeoffs, and Core Web Vitals tuning.
  • Integration architecture: ERP systems, CRM platforms, OMS, fulfillment services, tax engines, shipping APIs. Integrations with ERPs and CRMs via APIs are often necessary for ecommerce sites, especially in cross region or B2B flows. Ask potential developers to explain how they handle integrations and data flows between different systems.
  • Security, regulatory, and compliance execution: GDPR, CCPA, PCI DSS, authentication, secure third party integrations, and security patches. Your developer must understand PCI compliance and data privacy regulations. They handle compliance work like PCI DSS and GDPR as part of their baseline responsibilities.
  • Systems resilience and availability: handling flash sales, Black Friday scale traffic, fault tolerance, observability, and graceful degradation. Zero downtime during peak events is not aspirational; it is a business requirement.

Senior ecommerce experts are not just fluent in code. They shape decisions on tradeoffs (speed versus security, custom features versus configuration), own large subsystems, and serve as the buffer between engineering execution and business risk.

Revenue and Cost Levers Senior Ecommerce Talent Controls

There are concrete economic levers that dedicated ecommerce developers move when they have domain depth:

  • Technical debt reduction: cleaning up legacy code or fragile integrations reduces maintenance costs and lowers defect rates during peak traffic. A dedicated ecommerce developer can improve conversion rates by removing friction that accumulates from years of patchwork development.
  • Regulatory compliance assurance: avoiding penalties, breaches, or sanctions from mishandled customer data or payment flows. GDPR fines and PCI non compliance fees are real budget line items, not theoretical risks.
  • Faster time to market for revenue critical features: checkout optimization, faster search, personalized recommendations, and new features that lift average order value and GMV. A/B testing can improve conversion rates by 49%, but only if your engineering team ships the variants fast enough to learn from them.
  • Infrastructure cost optimization: efficient use of cloud, caching, CDN, and serverless components cuts hosting bills, especially under scale. Hiring ecommerce developers can reduce operational costs by up to 70% when the right talent replaces bloated contractor arrangements or overprovisioned infrastructure.

Defining What You Need Before You Search

Auditing Technical and Domain Constraints First

Before drafting job descriptions or booking interviews, audit the shape of the problems you need solved. A clear and structured project brief can help filter ecommerce developer candidates effectively and save weeks of wasted screening.

Architecture and Compliance Audit

Map every compliance regime your ecommerce store touches: PCI DSS, privacy laws (GDPR, CCPA), accessibility standards (WCAG). Catalog external dependencies: payment processors, ERP systems, third party tracking, tax engines. Identify system architecture constraints: monolith versus microservices versus headless commerce. Headless commerce uses APIs for flexible front end development, which changes the profile of the developer you need. Locate performance bottlenecks: slow queries, page load times, checkout drop off points. Assess where regulatory risk concentrates: is customer data stored in house or via third parties? Who manages tax, duty, and data residency? The answers to these questions dictate whether you need a generalist or a specialist.

Team Dynamics and Autonomy Level

Decide whether the new hire sits inside a cross functional pod with product, design, and operations, or is embedded as a domain specialist with direct architectural authority. The more autonomy, the more responsibility for architectural decisions; the more oversight, the more senior leadership support required. Define authority boundaries clearly. Can the engineer veto features that degrade store's performance? Do they own the release train for critical areas like checkout or inventory? An ecommerce product manager or digital product manager may set priorities, but the senior engineer must have the latitude to push back on decisions that compromise system integrity.

Deployment Model Dynamics

Evaluate tradeoffs between in house, remote dedicated, agency, and freelance hiring models. In house gives sustained domain familiarity but comes with recruiting delay and fixed costs: typical in house hiring cycles run 8 to 12 weeks. Vetted remote teams or pre screened engineering talent can deploy in 1 to 2 weeks but risk misalignment, IP ambiguity, and quality variation if not managed by engineering leadership. Freelancers often lack institutional memory after project completion. Dedicated developers provide full time commitment to ecommerce projects, while freelancers may not provide ongoing support after project delivery. Dedicated developers are less likely to leave mid project compared to freelancers, and dedicated teams ensure consistent communication and project oversight. The right deployment model depends on your business needs, timeline, and the complexity of your ecommerce solutions.

Building a Profile That Attracts the Right Talent

Focus your spec on non negotiable components that determine whether someone will thrive in your environment, not a generic job posting with a technology wish list:

  1. Core business outcome: What measurable results does this hire need to deliver? Conversion lift, uptime during peak events, lowered abandoned cart rate, revenue per visitor. A developer's understanding of business metrics is crucial for building effective ecommerce solutions. Do not ask for generic feature delivery; tie the role to business objectives.
  2. Technical stack and domain ecosystem: Specify ecommerce platforms used. Shopify and WooCommerce are popular ecommerce platforms for mid market. Magento (Adobe Commerce) supports large product inventories and high traffic. BigCommerce is designed for growing businesses needing reliable performance. Specify domain: B2B versus B2C, multi region, omnichannel, POS, loyalty, subscription commerce. Verify a developer's experience with custom theme building and API integrations for ecommerce. Most ecommerce developers are skilled in multiple platforms like Shopify and WooCommerce, but depth on your specific stack matters more than breadth.
  3. Decision making authority: Whether this person will make tradeoff calls, own architecture for critical pipelines, manage or mentor others. Senior level must have full ownership over their subsystem. Stakeholder management capability matters; this person will work closely with product, marketing, and operations.
  4. System impact: Ability to own reliability, scaling, observability, performance under load. Threat modeling, secure by default architecture, capacity to lead during disruptions. Performance tuning involves improving load speeds and server response times across your entire ecommerce business.
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Evaluating Candidates and Accelerating Productivity

A Vetting Framework That Filters for Domain Execution

Sourcing Reality

Traditional recruiters screen for buzzwords on resumes. They reduce candidates to lists of technologies and certifications, which tells you nothing about whether someone can architect a checkout flow that handles payment gateway failures under load. Use specialist ecommerce oriented recruiting networks or software development partners that present candidates with proven GMV and conversion impact. B2B review platforms can help in finding specialized ecommerce agencies when you need team scale support. Using specific talent pools can streamline hiring processes for ecommerce developers. A strong ecommerce developer should have a portfolio of live stores, not just sandbox demos. Performing live project audits is important to evaluate a developer's past work on ecommerce projects. You want experts skilled in your specific platform and domain combination: Shopify developers with custom storefront experience, WooCommerce developers handling complex third party integrations, or engineers building headless commerce architectures for B2B.

Technical and Domain Evaluation Pipeline

Do not rely on trivia questions or hypothetical whiteboard exercises. Use a multi step process that tests both technical competence and domain insight:

  • Live problem solving: Architect a high traffic flow (checkout, search) under constraints: payment failures, database latency, spike load. Watch how the candidate handles ambiguity and makes tradeoffs under pressure.
  • Scenario architecture review: Review the candidate's past production systems (codebase or design documentation). Focus on tradeoffs and domain complexity: inventory sync, tax calculation, fulfillment orchestration. Ecommerce developers create custom storefront themes and templates; ask to see real examples. Typical tasks include platform migrations and custom feature development; probe for specifics.
  • Communication under pressure: Give fuzzy specs and ask the candidate to clarify requirements, prioritize user stories, and manage stakeholder expectations. Clear communication separates engineers who ship a successful product from those who build in isolation.
  • Cross functional culture fit: How does the candidate interact with design, operations, product marketing, and compliance teams? Are they customer obsessed or technology obsessed? 70% of online shoppers abandon their carts due to poor UX; you need engineers who care about customer satisfaction, not just clean code. It's essential to evaluate a developer's communication style and project management approach during the hiring process.

From Day One to Full Production Impact in 90 Days

Plan specific milestones for full ROI. Discussing post launch support options is essential before hiring an ecommerce developer, and establishing a Service Level Agreement is important for post launch support.

First 30 days: Onboarding, access to relevant systems (code repositories, production analytics, payment gateways), security and compliance sign offs, test environment access. Deliver small wins: bug fixes, minor feature improvements, theme development adjustments. Ensure the developer creates responsive layouts that function smoothly on mobile devices from the start. Mobile optimization is crucial as a large portion of ecommerce traffic comes from smartphones, and responsive design increases mobile conversion rates by 160%.

Days 31 to 60: The engineer begins contributing to core flows: checkout, catalog, inventory management. Participates in architecture reviews. Begins instrumenting monitoring and performance dashboards. Ecommerce product management processes should include the new hire in product roadmaps and product discovery discussions. User research insights should inform their technical decisions.

Days 61 to 90: Production level commits with impact measured in metrics. Possibly leading a mini project. Owns a critical service (search, checkout, fulfillment integration). Begins mentoring others on the engineering team. Reduces reliance on external resources. At this point, the hire should be a driving force behind measurable ecommerce growth, not still ramping up. User friendly navigation increases sales by 20%; the engineer should be actively optimizing paths through your online store.

Deciding Who Gets the Offer

Red Flags and Green Flags in Ecommerce Engineering Candidates

Red flags:

  • Ignores business constraints: Wants architecturally perfect code when an acceptable tradeoff would accelerate revenue. Candidates who cannot articulate how their technical decisions serve business goals are a liability.
  • Tool obsession without business impact: Praises a stack or framework without citing specific outcomes. "I love using React" means nothing if the candidate cannot map that choice to conversion, UX, or store's performance improvements. Hire ecommerce talent that connects technology to your business model.
  • No regulatory awareness: Cannot explain PCI DSS requirements, data privacy obligations, or payment failure modes. In ecommerce, this is disqualifying.
  • Over engineering simple workflows: Preemptively building microservices for small features, delaying launch. This pattern burns budget and delays time to market for your ecommerce company.

Green flags:

  • Pragmatic tradeoff analysis: Evidence of weighing speed versus security versus cost in real project requirements. Proven strategies for delivering under constraints.
  • Deep compliance and security knowledge: Understands how PCI DSS, GDPR, and payment security standards shaped prior systems. Can describe specific architectural decisions driven by regulatory requirements.
  • Focus on data and system integrity: Tracks metrics, builds observability, handles errors gracefully. Understands that ecommerce is a data business and that every dropped transaction is lost revenue.
  • Proactive risk identification: Candidate identifies failure modes, performance bottlenecks, edge cases before being asked. Points out pain points in your current architecture during the interview. This is someone who will drive growth, not just maintain the status quo.

How SoftDoes Deploys Senior Ecommerce Engineering Talent

SoftDoes is a North America focused custom software engineering, data, and AI partner serving clients across the US and Canada. We specialize in hiring ecommerce developers with verified domain experience across B2B, B2C, omnichannel, and headless commerce architectures. Our approach is built on engineering led delivery oversight, not unmanaged freelancers or faceless offshore teams. Every engineer in our talent network has been vetted through the same multi stage pipeline described above: live problem solving, production system review, compliance assessment, and cross functional evaluation. We offer scalable solutions with flexible engagement models (dedicated team, augmented staff, or full project ownership), rapid deployment capability (7 to 14 days for most ecommerce projects), and a zero risk replacement guarantee. Whether you need Shopify developers, WooCommerce developers, Adobe Commerce specialists, or engineers building custom headless storefronts, we match your project requirements to senior talent with the exact stack and domain combination your ecommerce business requires.

Your Next Step

The quality of your ecommerce engineering execution determines whether your online store compounds revenue or compounds technical debt. Book a technical discovery session with SoftDoes solution architects to scope your requirements, assess your current architecture, and deploy dedicated developers matched to your business needs.

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