Hire Support And Operations Developers Backed by a U.S. Delivery Team

Looking to hire a Support And Operations Developer? Our Support And Operations 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 Support And Operations 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 Support And Operations Developers in the SoftDoes NetworkRegister to view more

What our Support And Operations 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 Support And Operations 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 Support And Operations Developer through SoftDoes?

Most clients receive qualified candidate profiles within days of the initial consultation, and the full process from discovery to deployment typically takes far less time than traditional hiring cycles. Senior technical roles at growth stage companies can take upwards of two months to fill through conventional recruiting. Our pre vetted talent network compresses that timeline significantly because every candidate has already been screened for technical skills, operational mindset, and collaboration ability before they are presented to you. The exact speed depends on the complexity of your requirements, stack specificity, and team integration needs, but our goal is always to get the right person working alongside your team as quickly as possible.

What does it cost to hire a Support And Operations Developer?

The total cost depends on the engagement model, seniority, and scope of responsibilities. Operations support jobs can earn between $61K and $215K annually, and when you factor in benefits like dental coverage, disability insurance, parental leave, and relocation assistance, the fully loaded cost of a full time hire rises substantially. Working with SoftDoes, you pay for the engagement model you choose without the overhead of traditional employment such as insurance, equity, or administrative burden. We provide transparent pricing tailored to whether you need a single specialist, a contract engagement, or a full operations pod, so you can compare options and choose the model that fits your budget and business needs.

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

SoftDoes offers three primary engagement models. A dedicated individual specialist is ideal when you have a specific skill gap or a well defined operational challenge. An operations pod provides a coordinated team of multiple specialists for comprehensive coverage across monitoring, automation, incident response, and infrastructure management. A contract engagement offers flexibility for time bound projects like cloud migrations, compliance audits, or pipeline rebuilds. Each model includes our replacement guarantee, and you can shift between models as your needs evolve. Administrative support roles are essential for organizational efficiency, and the same principle applies to operations: the right structure depends on your current stage and growth trajectory.

How do you ensure time zone alignment with a Support And Operations Developer?

Our talent pool is focused on North America, which means we match professionals who can work within overlapping hours across US and Canadian time zones. During the discovery phase, we identify your core working hours and communication expectations, then present candidates whose availability aligns. For teams spread across multiple time zones, we establish overlap windows and clear documentation practices so that handoffs and incident responses remain seamless. Effective administrative support improves communication and organization, and the same discipline applies to distributed operations work. Written communication skills and strong async habits are part of what we screen for during our vetting process.

How does SoftDoes technically vet a Support And Operations Developer?

Our vetting framework goes well beyond resume review. Every candidate completes a multi stage evaluation that includes a hands on technical challenge covering Infrastructure as Code, cloud services, and pipeline debugging. They then complete a practical simulation such as diagnosing a broken deployment or designing monitoring for a production service. This is followed by an analytical interview with scenario based questions that test systems thinking, trade off reasoning, and incident management experience. We also verify past measurable outcomes like improvements in deployment frequency, reductions in incident response time, or cloud cost savings. Finally, we assess collaboration and communication skills through behavioral interviews that surface how they work under pressure, assist cross functional teams, and deliver under real world constraints. Support professionals should possess strong communication skills, and we treat that as a non negotiable part of the evaluation.

What happens if the Support And Operations Developer isn't the right fit, or I need to scale up or down?

If the fit is not right, our replacement guarantee means we will provide an alternative professional without disrupting your operations or restarting the process from scratch. We understand that team dynamics, technical requirements, and business priorities evolve, so we build flexibility into every engagement. If you need to scale up, we can add specialists or transition from a single hire to a full pod. If your needs decrease, we offer structured wind down periods with transition support so knowledge is transferred and nothing falls through the cracks. Our goal is to deliver results, and that means adapting to your reality rather than locking you into a rigid contract.

How to Hire a Support And Operations Developer

Hiring the wrong support and operations developer means months of broken pipelines, mounting cloud costs, and firefighting instead of building. The right hire transforms your infrastructure into a reliable, scalable engine that accelerates every team it touches. This guide walks you through what the role actually involves, how to scope your requirements, where to find and vet senior talent, what signals to watch for during interviews, and how to onboard for lasting impact.

What a Support And Operations Developer Does and Why It Matters

What a Support And Operations Developer Actually Does Day to Day

A support and operations developer sits at the intersection of software engineering, infrastructure management, and operational reliability. This is not a traditional sysadmin or helpdesk position. It is a critical role that combines coding ability with deep systems thinking, bridging the gap between development teams and production environments. Support professionals are the heartbeat of every organization, and in information technology, this specialist keeps everything running while making it better.

Operations roles focus on process optimization and internal logistics. In practice, this means:

  • Maintaining and improving CI/CD pipelines by authoring workflows, debugging failing builds, and ensuring consistent, reliable release frequency across environments
  • Writing and managing Infrastructure as Code (IaC) using tools like Terraform, CloudFormation, or Pulumi to enforce environment consistency and reduce manual configuration drift
  • Owning monitoring, alerting, and incident response through observability stacks, defining SLOs and error budgets, analyzing production incidents, and running post mortems to prevent recurrence
  • Automating repetitive tasks and reducing toil by scripting deployments, backups, environment spin ups, and creating self service tooling that frees developers to focus on product work
  • Tuning system performance and managing costs by optimizing resource usage, handling scaling under load, and tracking cloud spend to avoid budget runaway
  • Collaborating across teams with product, security, QA, and leadership to define operational boundaries, escalation paths, runbooks, and support procedures

Technical troubleshooting roles often require following standard operational tasks, but a strong operations support specialist goes beyond that. They proactively identify bottlenecks and build lasting solutions. Operations support specialists assist with complex order execution and account management of infrastructure services at scale, ensuring reliability and accuracy across daily operations.

Why Hiring the Right Person for This Role Is a Strategic Priority

Hiring support and operations staff is critical for scaling a business efficiently. The right hire delivers measurable outcomes that compound over time:

  • Faster, more confident releases with fewer failed deployments and rollbacks, directly improving time to market and reducing engineering frustration
  • Reduced unplanned downtime and faster recovery by improving system reliability, increasing availability, and lowering Mean Time to Recovery so incidents stay small
  • Higher developer productivity through better internal tools, less time waiting on infrastructure, and fewer manual tasks that drain engineering hours
  • Controlled cloud costs and scalable growth by right sizing resources, eliminating waste, and building architecture that supports growing user bases, transaction volumes, and data without expensive rearchitecture

Support operations should improve frontline employees' effectiveness. When your operations foundation is solid, every team ships faster, customers experience fewer disruptions, and the business builds a reputation for reliability. Organizations in regulated industries like finance and healthcare gain additional value through compliance, security, and auditability baked into infrastructure from the start.

How to Prepare Before You Start Hiring

Defining Your Needs Before You Open the Role

Define your hiring needs clearly for effective recruitment. Before writing a job description or reaching out to candidates, get specific about the problems this hire will solve and the constraints they will work within.

Project Scope and Requirements

Start by identifying the scope of operational work. Are you building new infrastructure from scratch, migrating legacy systems to the cloud, or improving an existing setup that has grown brittle? Each scenario demands different seniority, risk tolerance, and skills. Factor in whether the work touches AI/ML pipelines, large data workflows, microservices architectures, or monolithic applications. Clarify which cloud providers or hybrid environments are in play. Define specific role requirements when hiring support and operations staff so your expectations match reality from day one.

Team Structure and Engagement Model

Will this developer work solo, join an existing platform or operations team, embed within product teams, or serve multiple squads? Define ownership of incidents, tools, and monitoring upfront. Identify stakeholders and reporting lines. Separate support operations from frontline support as teams grow to avoid blurring responsibilities. Support roles focus on direct customer interaction and troubleshooting, while operations roles require process oriented thinkers who focus on systems, automation, and reliability.

In House vs. Dedicated Remote Talent

Evaluate the trade offs between hiring full time locally and partnering with a talent delivery network. Factors like cost, time to fill, time zone overlap, retention risk, and the ability to scale up or down all matter. For many companies, accessing pre vetted remote talent delivers a faster path to productivity than running a full recruitment cycle internally. Companies prefer pre vetted administrative talent for faster hiring, and the same principle applies to senior technical operations hires.

How to Write a Job Description That Attracts Senior Talent

A generic job description repels the best candidates. To stand out to experienced professionals seeking their next position, your description must clearly communicate four things:

  • Mission: Why does this role exist? What operational problems will the hire solve? Frame it around outcomes like improving system reliability, speeding up deployments, or reducing cloud costs rather than listing tasks
  • Tech stack and context: Name your cloud providers, container orchestration tools, IaC tooling, CI/CD systems, monitoring software, and production scale. Include the number of services, daily users, and traffic volumes. Be transparent about legacy dependencies
  • Team structure: Describe who they report to, who their peers are, how responsibilities are shared, on call expectations, the support escalation model, and whether the role is remote, hybrid, or in office. Specify hours of overlap and communication expectations
  • Growth and impact: Outline the autonomy and decision making expected, the projects they will own, what outcomes are measured, and opportunities for growth in areas like cloud optimization, security compliance, or leadership

Assess candidates' familiarity with existing tool stacks or their ability to learn new ones. Candidates should have growth potential within the company, so signal that clearly in your description.

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

How to Find, Vet, and Onboard the Right Hire

Building a Hiring Process That Actually Works

Where to Source Qualified Candidates

Hiring processes can be streamlined with specialized staffing solutions. Use a mix of channels: verified skill platforms, engineering community forums, referrals from similar companies, and agencies with domain focus. Standard job boards generate volume but rarely surface the senior profiles you need. Specialized networks and curated talent pools compress time to fill dramatically, often delivering qualified candidates within days rather than months.

Pre vetted talent can speed up the hiring process significantly. Access AI curated talent for support and operations roles through platforms that verify technical ability before candidates ever reach your pipeline. For operations support roles, this approach eliminates the most expensive part of hiring: screening dozens of unqualified applicants.

How to Vet Beyond the Resume

Workforce management includes forecasting demand and monitoring capacity, and vetting should mirror that rigor. Use structured interviews with consistent questions to reduce bias. Instead of tool checklists, test reasoning and decision making through a layered process:

  • Technical screening that assesses real ability with infrastructure, cloud services, and reliability engineering rather than trivia
  • A practical, real world task such as diagnosing a broken deployment pipeline or drafting IaC for a simple microservices setup
  • An analytical, problem solving interview with scenario questions like "What metrics would you watch for a degraded service?" or "How would you approach scaling after traffic doubles?"
  • Culture and collaboration fit through questions about cross team work, incident pressure, ownership, and written communication skills

Support roles require high emotional intelligence and clear communication. Evaluate empathy and conflict resolution skills for support roles, even in technically heavy positions. A developer who cannot communicate clearly during an outage or collaborate with product teams will create more problems than they solve. Look for individuals who thrive in fast moving environments with autonomy.

Candidates should align with core values and bring diverse perspectives. Measure relevant metrics instead of optimizing one metric in isolation when evaluating performance during the hiring process.

A Practical 30/60/90 Day Onboarding Plan

Establish standard operating procedures for onboarding. A structured ramp up plan turns a new hire into a contributor faster and reduces the risk of early turnover.

  • First 30 days: Audit existing systems, gain access to staging and production environments, review codebases and monitoring dashboards, meet key stakeholders, and fix a small but visible pain point to build credibility
  • Days 30 to 60: Take ownership of a medium sized piece of infrastructure or tool improvement, establish key metrics and alerts, and begin actively reducing toil through automation
  • Days 60 to 90: Deliver a larger project such as automating a deployment workflow, improving reliability for a critical service, or reducing cloud spend. Present findings and process improvements. Set up recurring review processes with the team

Retention depends on clear ownership, explicit paths for advancement, regular feedback, balanced on call load, and involvement in technical strategy. Give them hard problems to solve, not just tickets to close.

How to Evaluate Candidates and Make the Right Decision

Red Flags and Green Flags During the Interview Process

Knowing what to look for and what to avoid separates a strong hire from a costly mistake.

Red flags (warning signals):

  • Tool obsession without reasoning: The candidate lists every cloud service and container tool but cannot describe how they handled a real system failure, performed root cause analysis, or planned for capacity
  • Vague or missing metrics: They cannot cite specific improvements like MTTR reductions, SLO targets, error budgets, performance gains, or cost savings from their previous work
  • Poor collaboration examples: They lack stories of working with product, security, or QA teams and show little interest in understanding the broader business context
  • Overpromising or rigidity: They refuse to engage with messy legacy systems or insist on ideal conditions, showing low adaptability or humility

Green flags (signals of senior level capability):

  • Track record of owning production services: They have stabilized unstable systems, owned incidents end to end, and demonstrably improved reliability over extended periods
  • Proactive automation mindset: They have reduced toil through scripts, self service tools, Infrastructure as Code, and streamlined processes that benefit the entire team
  • Systems thinking and trade off awareness: They balance reliability with speed, choose simplicity when appropriate, and understand the cost implications of technical decisions
  • Mentorship and process leadership: They write runbooks and documentation, improve team standards, contribute to architecture and security reviews, and lead cross team collaboration

Why SoftDoes Is the Right Partner for This Hire

SoftDoes is a North America focused software engineering and talent delivery partner serving clients across the US and Canada. Unlike generic staffing agencies or freelancer marketplaces, we operate a team delivery model that guarantees continuity, professionalism, and accountability.

  • Vetted senior talent with domain experience in finance, healthcare, AI/ML infrastructure, cloud compliance, and supply chain technology. Every specialist in our talent network has been screened for real world operational ability, not just resume keywords
  • Flexible engagement models from a single support and operations specialist to a dedicated pod or hybrid team. Scale up or down based on demand without the overhead of traditional employment
  • Replacement and scaling guarantees so you are never stuck with a mismatch. If dynamics do not align, we provide a replacement. If your needs grow, we add capacity
  • Enterprise ready delivery with experience supporting leading companies in regulated industries where compliance, security, and coverage are non negotiable

Factor total financial costs beyond base salary when hiring. When you compare the all in cost of recruiting, onboarding, and retaining a full time hire against a dedicated engagement with SoftDoes, the math often favors a partner who delivers proven talent in days rather than months. Operations support jobs can earn between $61K and $215K annually depending on seniority and scope, so calibrating the right pay range and engagement model matters for your budget.

Ready to Hire a Support And Operations Developer?

If your team is spending more time fighting fires than building, it is time to bring in the right operations talent. Schedule a discovery call with SoftDoes to map your specific infrastructure challenges, define the role, and get matched with a vetted professional or team that fits your stack, your culture, and your business goals.

No long term lock in. No recruitment guesswork. Just proven talent, deployed fast.

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