Hire Runtime Managers Backed by a U.S. Delivery Team

Looking to hire a Runtime Manager? Our Runtime Managers bring 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 Runtime Manager

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 Runtime Managers in the SoftDoes NetworkRegister to view more

What our Runtime Managers 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 Runtime Manager

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 Runtime Manager through SoftDoes?

Most teams can hire a Runtime Manager in 2 to 4 weeks. Hiring a dedicated team typically takes 2 to 4 weeks as well, depending on the complexity of the role and your specific technology stack requirements. We compress the hiring process by sourcing from a pre vetted network rather than starting from scratch, so you skip the months of generic outbound recruiting that most companies experience. In specialized industries or regulated sectors, additional compliance screening may add a small amount of time, but the whole process is designed for speed without sacrificing quality.

What does it cost to hire a Runtime Manager?

In the US market, base compensation for a Cloud Operations Manager or Runtime Manager typically falls in the range that reflects seniority, location, company size, and the complexity of your SLAs. At senior levels or in regulated industries like finance and healthcare, total compensation including base, bonus, and equity will be higher. When you work with SoftDoes, we offer transparent pricing structures and flexible contract models that can reduce total cost of hiring compared to running a full internal recruiting operation with agency fees, interview overhead, and onboarding risk. We also help eliminate unnecessary administrative processes that drive up cost in traditional hiring.

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

SoftDoes offers three primary models. A Dedicated Talent engagement places a single senior runtime specialist directly into your team for focused infrastructure projects or ongoing operations. Managed Talent ensures predictable execution and consistent delivery with project management oversight built in. Talent Pods combine multiple specialists for end to end ownership of production reliability and performance, ideal for companies that need to support growth quickly or launch new services. Each model supports flexible scaling, so you can start with one contractor or engineer and expand as your business goals evolve.

How do you ensure time zone alignment with a Runtime Manager?

We are a North America focused partner, so time zone alignment is built into our delivery model from the beginning. During the requirements gathering phase, we define the working hours overlap your team needs, whether that is full overlap with US or Canadian core hours or staggered coverage for on call and incident response. We match candidates whose availability fits your operations schedule, ensuring seamless communication and collaboration without the friction that comes from misaligned working hours.

How does SoftDoes technically vet a Runtime Manager?

Our vetting goes well beyond the resume. Every candidate goes through a structured technical screening that includes system design for reliability and scale, a practical real world task such as setting up monitoring and defining SLO thresholds for a production service, an analytical problem solving exercise focused on capacity planning or incident triage, and a culture fit evaluation. A focused technical interview reveals a candidate's real skills, and we tailor each screening to match your specific stack, compliance requirements, and operational context. Candidates who pass through our process are production ready, not just theoretically qualified.

What happens if the Runtime Manager isn't the right fit, or I need to scale up or down?

SoftDoes provides replacement guarantees. If the hire is not performing or the fit is not right, we handle the replacement at no additional recruiting cost to you. If your workforce needs change, whether you need to scale up to a full operations pod or scale down after a major project completes, engagement models allow you to adjust team size flexibly without the overhead of traditional hiring and termination cycles. This flexibility is one of the core reasons our clients choose a partner model over managing the whole process internally.

How to Hire a Runtime Manager

Most companies lose weeks, sometimes months, searching for a Runtime Manager through generic job boards and unstructured interviews, only to end up with candidates who look great on paper but crumble when production systems catch fire at 2 a.m. This guide gives you a clear, practical framework for defining the role, screening candidates who can actually deliver, and getting your new hire productive fast. It also explains how partnering with a specialized talent delivery firm like SoftDoes can compress the whole process into weeks instead of quarters.

What a Runtime Manager Really Does and Why It Matters for Your Business

What a Runtime Manager Actually Does Day to Day

The title "Runtime Manager" often overlaps with roles like Cloud Operations Manager, Site Reliability Engineering Lead, or Production Engineering Manager. Regardless of the label, the focus is the same: keeping live software systems available, performant, cost efficient, and secure under real world conditions.

A runtime manager often bridges software engineering and operations teams, serving as the single point of accountability for everything that happens after code is deployed. They bring centralized application control and real time resource optimization to complex environments. Here are the core daily tasks and skills that define the role in practice:

  • Monitoring and observability. They establish real time monitoring and performance dashboards using tools like Prometheus, Grafana, Datadog, or OpenTelemetry. Runtime managers monitor application health and troubleshoot errors in production, and automated monitoring reduces time spent fixing live bugs for developers.
  • Incident response and postmortems. Triage alerts, coordinate cross team communication during outages, drive root cause analysis, and document remediations. They handle resource provisioning and minimize unexpected outages.
  • Reliability engineering. Set and enforce SLIs, SLOs, error budgets, and uptime targets. Standardized runtimes help minimize risk by ensuring consistent code behavior across environments.
  • Capacity planning and cost optimization. They manage resource scaling to accommodate traffic spikes and runtime managers optimize operational budgets by scaling resources based on demand. Proper runtime management optimizes operational budgets by preventing over provisioning of resources.
  • Deployment pipeline management. They manage CI/CD pipelines and container orchestration to improve deployment speed. This includes rollout strategies such as canary releases, blue/green deployments, feature flags, and rollback mechanisms. Automated pipelines accelerate time to market for software deployments.
  • Automation and operational tooling. They create scripts and automation for operational work to reduce manual tasks, reducing manual processes and freeing engineers to focus on feature development. They reduce developer friction by providing reliable self service infrastructure.
  • Security, compliance, and disaster recovery. Runtime managers enforce security patches and compliance standards across running services. They ensure compliance with regulatory requirements such as HIPAA, PCI, and SOC, and plan backup and disaster recovery strategies.

Effective managers track KPIs and operational metrics for better decision making. Runtime Managers lead large teams of 50 to 60 members in enterprise environments, and they ensure stable day to day operations and adherence to SLAs. They also manage stakeholders and client communications effectively, making escalation management a core competency.

Why Getting This Hire Right Is a Strategic Priority

Hiring runtime managers stabilizes software systems and reduces downtime. But the impact goes well beyond keeping servers online. A skilled Runtime Manager can accelerate project roadmaps and reduce technical debt within project teams. Here are the concrete business outcomes:

  • Faster time to market. Well managed production environments mean safer, more frequent releases with fewer rollbacks. Runtime managers reduce latency and crash rates for enterprise applications, so your product teams ship with confidence.
  • Lower infrastructure cost. Effective runtime management leads to lower IT costs and secure operations. Runtime managers automatically optimize resources based on performance metrics, eliminating cloud waste and controlling FinOps without sacrificing performance.
  • System reliability and customer trust. Reduced downtime directly improves customer satisfaction, brand reputation, and compliance posture. Operations managers enhance coordination between departments and streamline processes, creating a culture of operational excellence.
  • Scalable growth. As traffic, services, and data volumes grow, a Runtime Manager ensures your systems handle scale without cascading failures or performance degradation. They oversee active deployment architectures and track server health, supporting growth from day one. Runtime managers monitor resource consumption to ensure applications scale smoothly under load.

Runtime Managers drive operational excellence and continuous improvement across the entire production lifecycle. Hiring a Runtime Manager can reduce technical debt significantly, freeing engineering capacity for innovation rather than firefighting.

What to Do Before You Open the Role

How to Define Your Requirements Before You Start Hiring

Before you write a single line in a job description, align internally on what this hire needs to accomplish. Most teams skip this step and end up with vague requirements that attract the wrong candidates. Here is how to structure your preparation:

Project Scope and Requirements

Start with the systems this person will own. Are they managing cloud infrastructure, a microservices architecture, a monolith, a hybrid on premises and cloud setup, or edge deployments? Define the scale: number of services, concurrent users, requests per second, data volumes, and the SLAs your clients expect. Document the tools and technology stack already in place, including CI/CD pipelines, monitoring and logging tools, infrastructure as code platforms, and containerization.

A solid job description should define the problem to solve, not just list technologies. For example: "We need someone to reduce our mean time to resolution by 40% and bring our deployment failure rate below 1%."

Team Structure and Engagement Model

Clarify who reports to this person. Will they lead a team of SREs, infrastructure engineers, or operators? Map out interactions with engineering, product, QA, and security stakeholders. Define on call expectations and time zone coverage needs. Understanding whether this role involves managing large teams or operating as a senior individual contributor changes the candidate profile dramatically.

In House vs. Dedicated Remote Talent

Decide whether you need a full time employee embedded in your organization or a dedicated remote specialist. In house hires offer deep institutional knowledge and alignment. Remote or dedicated talent models offer speed and flexibility, especially when your business needs someone with niche expertise in a specific cloud platform or compliance domain. Engagement models allow scaling teams up or down flexibly, so you are not locked into a permanent headcount commitment before validating the role.

Writing a Job Description That Attracts the Right Runtime Manager

A weak job description attracts generic operations candidates. A strong one filters for exactly the person your systems need. Cover these four elements:

  • Mission. State the problem this hire solves. Example: "Own the reliability and performance of our real time payment processing platform, reduce incident frequency by half, and cut cloud spend by 20%." This gives candidates clear expectations about what success looks like.
  • Stack and context. List your cloud providers, orchestration tools, languages, observability stack, deployment pipeline tools, and regulatory environment. Deep knowledge of cloud systems is essential for runtime managers, so be specific about whether you run AWS, Azure, GCP, or a multi cloud setup. Mention Kubernetes, Terraform, or whatever infrastructure as code tools you use.
  • Team structure. Explain who they manage, who they report to (CTO, VP of Engineering, Infrastructure Lead), and which teams they collaborate with daily. Include on call expectations and whether they will be supporting a single system or multiple services.
  • Growth and impact. Describe the trajectory. Will they build a team? Own a reliability roadmap? Drive continuous improvement initiatives across the platform? A skilled Runtime Manager can accelerate project roadmaps, so spell out what "impact" looks like in your context.
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 Source, Screen, and Onboard the Right Person

A Practical Hiring and Vetting Process

Sourcing Strategy

Generic job boards produce high volume and low signal. Use vetted talent networks to shorten the candidate funnel. Specialized platforms, SRE communities, DevOps forums, cloud provider ecosystems, and open source contributor networks yield candidates with real production experience. Combine inbound job postings with outbound sourcing on LinkedIn and GitHub. Referrals from your existing engineers are often the highest quality channel.

Consider tapping into a curated talent network rather than running the whole process internally. This compresses the hiring process from months to weeks and gives you access to global talent that has already been screened for production readiness.

Vetting Beyond the Resume

Resumes tell you what someone has touched; they do not tell you what they can do under pressure. Structure your vetting around four dimensions:

  • Technical screening. A focused technical interview reveals a candidate's real skills. Test system design for reliability: ask candidates to design a fault tolerant architecture, reason about consistency vs. availability trade offs, or walk through how they would handle a cascading failure in a microservices environment.
  • Practical, real world task. Give them a scenario that mirrors your context. For example: set up monitoring for a specific microservice, define SLO thresholds and alerting rules, propose an autoscaling strategy, and outline a disaster recovery plan. Evaluate how they think, not just whether they know the "right" answer.
  • Analytical and problem solving interview. Present capacity planning challenges, latency debugging scenarios, or root cause analysis exercises. Ask them to walk through a past incident, including what went wrong, how they triaged it, and what they changed afterward.
  • Culture fit. Do they respect SLIs and SLOs as engineering contracts, or do they treat them as bureaucratic overhead? Do they default to ownership or deflection? Can they push back on unrealistic timelines while maintaining productive communication with product and engineering teams?

A 30/60/90 Day Onboarding Plan That Drives Results

A structured onboarding process makes the difference between a new hire who delivers in their first quarter and one who is still "ramping up" after six months.

  • First 30 days. Introduce the new hire to system architecture, existing monitoring and alerting configurations, and current operations workflows. Have them review recent incidents and postmortems, understand technical debt and reliability risks, and shadow on call rotations. This builds the institutional context they need to make good decisions.
  • By day 60. The Runtime Manager should take ownership of a focused stability initiative: refining SLIs and SLOs, proposing improvements to observability or deployment processes, or tackling a known reliability gap. They should be actively contributing to ongoing engagements with engineering and product teams.
  • By day 90. Expect a clear roadmap for runtime improvements, lead ownership of incident response, full integration with cross functional teams, and measurable wins. These might include reduced incident count, shorter mean time to resolution, cost savings from right sized infrastructure, or improved uptime. Hiring a Runtime Manager can accelerate your project roadmap when the onboarding process is structured around early wins.

Retention depends on challenging, high impact work with clear visibility of outcomes, reasonable on call burdens, and opportunities for technical leadership. The best runtime managers want to build something, not just keep the lights on.

How to Evaluate Candidates and Choose the Right Partner

Warning Signs and Strong Signals in Runtime Manager Interviews

Red flags to watch for:

  • Cannot describe how past systems failed under load or how they debugged latency and disruptions. Vague answers suggest they managed dashboards, not incidents.
  • Prefers reactive firefighting over proactive reliability engineering. No experience with SLIs, SLOs, error budgets, or observability tooling.
  • Lacks hands on experience with cloud infrastructure or cannot reason about cost and scalability. This is a dealbreaker for any modern runtime role.
  • Poor communication skills or difficulty coordinating across product, development, and security teams. Escalation management requires clarity under pressure, not just technical depth.

Green flags that signal senior level capability:

  • Has driven measurable improvements in reliability: reduced downtime, lower latency, fewer incidents, improved availability targets.
  • Built or scaled monitoring and observability pipelines, and evolved CI/CD or deployment processes with safety controls like canary releases and feature flags.
  • Demonstrated experience in capacity planning, cost optimization, and cloud governance, including vendor management for infrastructure services.
  • Comfort working in compliance heavy or regulated environments (healthcare, finance) with exposure to security standards, disaster recovery planning, and audit processes. This is critical for companies that need to ensure compliance as part of their service delivery.

Why SoftDoes Is the Right Partner for This Hire

SoftDoes is a North America focused software engineering and talent delivery partner. We work with clients across the US and Canada who need production ready runtime expertise without the months long search.

Here is what makes the partnership different:

  • Pre vetted senior talent. Every candidate in our talent network has been screened through real world production scenarios, not just resume reviews. Runtime Managers bring senior level expertise to projects from the beginning.
  • Team delivery model. Your hire is not an isolated freelancer. They are supported by peers, which ensures knowledge sharing, continuity, and coverage. Managed Talent ensures faster onboarding and predictable execution, and Dedicated Talent integrates seamlessly into existing workflows.
  • Replacement and scaling guarantees. If the fit is not right, we handle replacements. If your business needs change, engagement models allow scaling teams up or down flexibly.
  • Flexible engagement options. From a single specialist to a full Talent Pod, we match the model to your operational needs. Talent Pods combine expertise for faster product launches, and one engineer can start projects with low risk and fast delivery.
  • Compliance and regulated environment readiness. Our talent has experience in finance, healthcare, and other industries where compliance support and security are non negotiable.

We focus on custom software development and operations talent that supports growth, not just fills a seat.

Take the Next Step

If you are ready to hire a Runtime Manager who can stabilize your systems, reduce technical debt, and accelerate your roadmap, the next step is a short discovery call. We will define your requirements, match you with pre screened candidates, and get your hire integrated in weeks, not months. Reach out to start the conversation.

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