Lead Cloud Engineer
Salary undisclosed
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RESPONSIBILITIES:
Kforce has a client in Cincinnati, OH that is seeking a Lead Cloud Engineer.
Summary:
We are seeking a Lead Cloud Engineer, AI Enablement to join our AI Platform Acceleration team. The AI Platform Acceleration team will enable AI democratization through apps & services. You will collaborate with cross-functional teams of data scientists, research scientists, software engineers, and product leads to understand business requirements, identify opportunities for AI integration, and ensure our platforms enable development of scalable and robust AI systems. This team will also engage with third party vendors to enable speed, scale, and efficiency.
This role is heavily focused on platform operations. General areas of focus are deployment & infrastructure, ci/cd pipelines, observability, SLAs, incident management, user onboarding and other related operational components.
Duties:
* Manage and enhance deployment of infrastructure using Terraform
* Manage and enhance ci/cd pipelines using Github Actions
* Interact daily with Azure and Azure services
* Troubleshoot issues related to API deployments in AKS
* Ensure accurate observability of solutions deployed in AKS using Datadog or other related observability tools
* Define and implement SLAs and incident management procedures
* Independently define, prioritize and execute project tasks and plans to deliver cloud-related infrastructure and solutions
* Document work and solutions appropriately
* Engage with other technology and infrastructure teams as necessary to complete tasks
* Participate routinely in team on-call rotation during business hours
REQUIREMENTS:
* 4-year degree in a technology related discipline or equivalent work experience
* Google Cloud Platform Associate Cloud Engineer and/or Microsoft Azure Administrator Associate certifications preferred
* 5+ years of experience with public cloud technologies (Azure or Google Cloud Platform preferred) including demonstrated networking and security focus
* 5+ years of experience with container technologies (Docker, Kubernetes, Helm)
* 5+ years of experience with cloud automation tools (Terraform)
* 5+ years of experience with SDLC and working with Agile development teams
* Experience with AI-related concepts a plus (RAG, fine-tuning, agent framework, LLMs, etc.)
* Ability to manage small to medium size IT-related projects, solving related problems and working to tight deadlines while under pressure
* Strong interpersonal and communication skills with demonstrated experience leveraging these skills with technical teams and non-technical business units
* Desire to learn new technology and grow across different areas of technology
* Demonstrated ability to prioritize own workload with multiple responsibilities and adaptability to changes in those priorities
The pay range is the lowest to highest compensation we reasonably in good faith believe we would pay at posting for this role. We may ultimately pay more or less than this range. Employee pay is based on factors like relevant education, qualifications, certifications, experience, skills, seniority, location, performance, union contract and business needs. This range may be modified in the future.
We offer comprehensive benefits including medical/dental/vision insurance, HSA, FSA, 401(k), and life, disability & ADD insurance to eligible employees. Salaried personnel receive paid time off. Hourly employees are not eligible for paid time off unless required by law. Hourly employees on a Service Contract Act project are eligible for paid sick leave.
Note: Pay is not considered compensation until it is earned, vested and determinable. The amount and availability of any compensation remains in Kforce's sole discretion unless and until paid and may be modified in its discretion consistent with the law.
This job is not eligible for bonuses, incentives or commissions.
Kforce is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity, national origin, age, protected veteran status, or disability status.
By clicking ?Apply Today? you agree to receive calls, AI-generated calls, text messages or emails from Kforce and its affiliates, and service providers. Note that if you choose to communicate with Kforce via text messaging the frequency may vary, and message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You will always have the right to cease communicating via text by using key words such as STOP.
Kforce has a client in Cincinnati, OH that is seeking a Lead Cloud Engineer.
Summary:
We are seeking a Lead Cloud Engineer, AI Enablement to join our AI Platform Acceleration team. The AI Platform Acceleration team will enable AI democratization through apps & services. You will collaborate with cross-functional teams of data scientists, research scientists, software engineers, and product leads to understand business requirements, identify opportunities for AI integration, and ensure our platforms enable development of scalable and robust AI systems. This team will also engage with third party vendors to enable speed, scale, and efficiency.
This role is heavily focused on platform operations. General areas of focus are deployment & infrastructure, ci/cd pipelines, observability, SLAs, incident management, user onboarding and other related operational components.
Duties:
* Manage and enhance deployment of infrastructure using Terraform
* Manage and enhance ci/cd pipelines using Github Actions
* Interact daily with Azure and Azure services
* Troubleshoot issues related to API deployments in AKS
* Ensure accurate observability of solutions deployed in AKS using Datadog or other related observability tools
* Define and implement SLAs and incident management procedures
* Independently define, prioritize and execute project tasks and plans to deliver cloud-related infrastructure and solutions
* Document work and solutions appropriately
* Engage with other technology and infrastructure teams as necessary to complete tasks
* Participate routinely in team on-call rotation during business hours
REQUIREMENTS:
* 4-year degree in a technology related discipline or equivalent work experience
* Google Cloud Platform Associate Cloud Engineer and/or Microsoft Azure Administrator Associate certifications preferred
* 5+ years of experience with public cloud technologies (Azure or Google Cloud Platform preferred) including demonstrated networking and security focus
* 5+ years of experience with container technologies (Docker, Kubernetes, Helm)
* 5+ years of experience with cloud automation tools (Terraform)
* 5+ years of experience with SDLC and working with Agile development teams
* Experience with AI-related concepts a plus (RAG, fine-tuning, agent framework, LLMs, etc.)
* Ability to manage small to medium size IT-related projects, solving related problems and working to tight deadlines while under pressure
* Strong interpersonal and communication skills with demonstrated experience leveraging these skills with technical teams and non-technical business units
* Desire to learn new technology and grow across different areas of technology
* Demonstrated ability to prioritize own workload with multiple responsibilities and adaptability to changes in those priorities
The pay range is the lowest to highest compensation we reasonably in good faith believe we would pay at posting for this role. We may ultimately pay more or less than this range. Employee pay is based on factors like relevant education, qualifications, certifications, experience, skills, seniority, location, performance, union contract and business needs. This range may be modified in the future.
We offer comprehensive benefits including medical/dental/vision insurance, HSA, FSA, 401(k), and life, disability & ADD insurance to eligible employees. Salaried personnel receive paid time off. Hourly employees are not eligible for paid time off unless required by law. Hourly employees on a Service Contract Act project are eligible for paid sick leave.
Note: Pay is not considered compensation until it is earned, vested and determinable. The amount and availability of any compensation remains in Kforce's sole discretion unless and until paid and may be modified in its discretion consistent with the law.
This job is not eligible for bonuses, incentives or commissions.
Kforce is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity, national origin, age, protected veteran status, or disability status.
By clicking ?Apply Today? you agree to receive calls, AI-generated calls, text messages or emails from Kforce and its affiliates, and service providers. Note that if you choose to communicate with Kforce via text messaging the frequency may vary, and message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You will always have the right to cease communicating via text by using key words such as STOP.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
Report this job RESPONSIBILITIES:
Kforce has a client in Cincinnati, OH that is seeking a Lead Cloud Engineer.
Summary:
We are seeking a Lead Cloud Engineer, AI Enablement to join our AI Platform Acceleration team. The AI Platform Acceleration team will enable AI democratization through apps & services. You will collaborate with cross-functional teams of data scientists, research scientists, software engineers, and product leads to understand business requirements, identify opportunities for AI integration, and ensure our platforms enable development of scalable and robust AI systems. This team will also engage with third party vendors to enable speed, scale, and efficiency.
This role is heavily focused on platform operations. General areas of focus are deployment & infrastructure, ci/cd pipelines, observability, SLAs, incident management, user onboarding and other related operational components.
Duties:
* Manage and enhance deployment of infrastructure using Terraform
* Manage and enhance ci/cd pipelines using Github Actions
* Interact daily with Azure and Azure services
* Troubleshoot issues related to API deployments in AKS
* Ensure accurate observability of solutions deployed in AKS using Datadog or other related observability tools
* Define and implement SLAs and incident management procedures
* Independently define, prioritize and execute project tasks and plans to deliver cloud-related infrastructure and solutions
* Document work and solutions appropriately
* Engage with other technology and infrastructure teams as necessary to complete tasks
* Participate routinely in team on-call rotation during business hours
REQUIREMENTS:
* 4-year degree in a technology related discipline or equivalent work experience
* Google Cloud Platform Associate Cloud Engineer and/or Microsoft Azure Administrator Associate certifications preferred
* 5+ years of experience with public cloud technologies (Azure or Google Cloud Platform preferred) including demonstrated networking and security focus
* 5+ years of experience with container technologies (Docker, Kubernetes, Helm)
* 5+ years of experience with cloud automation tools (Terraform)
* 5+ years of experience with SDLC and working with Agile development teams
* Experience with AI-related concepts a plus (RAG, fine-tuning, agent framework, LLMs, etc.)
* Ability to manage small to medium size IT-related projects, solving related problems and working to tight deadlines while under pressure
* Strong interpersonal and communication skills with demonstrated experience leveraging these skills with technical teams and non-technical business units
* Desire to learn new technology and grow across different areas of technology
* Demonstrated ability to prioritize own workload with multiple responsibilities and adaptability to changes in those priorities
The pay range is the lowest to highest compensation we reasonably in good faith believe we would pay at posting for this role. We may ultimately pay more or less than this range. Employee pay is based on factors like relevant education, qualifications, certifications, experience, skills, seniority, location, performance, union contract and business needs. This range may be modified in the future.
We offer comprehensive benefits including medical/dental/vision insurance, HSA, FSA, 401(k), and life, disability & ADD insurance to eligible employees. Salaried personnel receive paid time off. Hourly employees are not eligible for paid time off unless required by law. Hourly employees on a Service Contract Act project are eligible for paid sick leave.
Note: Pay is not considered compensation until it is earned, vested and determinable. The amount and availability of any compensation remains in Kforce's sole discretion unless and until paid and may be modified in its discretion consistent with the law.
This job is not eligible for bonuses, incentives or commissions.
Kforce is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity, national origin, age, protected veteran status, or disability status.
By clicking ?Apply Today? you agree to receive calls, AI-generated calls, text messages or emails from Kforce and its affiliates, and service providers. Note that if you choose to communicate with Kforce via text messaging the frequency may vary, and message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You will always have the right to cease communicating via text by using key words such as STOP.
Kforce has a client in Cincinnati, OH that is seeking a Lead Cloud Engineer.
Summary:
We are seeking a Lead Cloud Engineer, AI Enablement to join our AI Platform Acceleration team. The AI Platform Acceleration team will enable AI democratization through apps & services. You will collaborate with cross-functional teams of data scientists, research scientists, software engineers, and product leads to understand business requirements, identify opportunities for AI integration, and ensure our platforms enable development of scalable and robust AI systems. This team will also engage with third party vendors to enable speed, scale, and efficiency.
This role is heavily focused on platform operations. General areas of focus are deployment & infrastructure, ci/cd pipelines, observability, SLAs, incident management, user onboarding and other related operational components.
Duties:
* Manage and enhance deployment of infrastructure using Terraform
* Manage and enhance ci/cd pipelines using Github Actions
* Interact daily with Azure and Azure services
* Troubleshoot issues related to API deployments in AKS
* Ensure accurate observability of solutions deployed in AKS using Datadog or other related observability tools
* Define and implement SLAs and incident management procedures
* Independently define, prioritize and execute project tasks and plans to deliver cloud-related infrastructure and solutions
* Document work and solutions appropriately
* Engage with other technology and infrastructure teams as necessary to complete tasks
* Participate routinely in team on-call rotation during business hours
REQUIREMENTS:
* 4-year degree in a technology related discipline or equivalent work experience
* Google Cloud Platform Associate Cloud Engineer and/or Microsoft Azure Administrator Associate certifications preferred
* 5+ years of experience with public cloud technologies (Azure or Google Cloud Platform preferred) including demonstrated networking and security focus
* 5+ years of experience with container technologies (Docker, Kubernetes, Helm)
* 5+ years of experience with cloud automation tools (Terraform)
* 5+ years of experience with SDLC and working with Agile development teams
* Experience with AI-related concepts a plus (RAG, fine-tuning, agent framework, LLMs, etc.)
* Ability to manage small to medium size IT-related projects, solving related problems and working to tight deadlines while under pressure
* Strong interpersonal and communication skills with demonstrated experience leveraging these skills with technical teams and non-technical business units
* Desire to learn new technology and grow across different areas of technology
* Demonstrated ability to prioritize own workload with multiple responsibilities and adaptability to changes in those priorities
The pay range is the lowest to highest compensation we reasonably in good faith believe we would pay at posting for this role. We may ultimately pay more or less than this range. Employee pay is based on factors like relevant education, qualifications, certifications, experience, skills, seniority, location, performance, union contract and business needs. This range may be modified in the future.
We offer comprehensive benefits including medical/dental/vision insurance, HSA, FSA, 401(k), and life, disability & ADD insurance to eligible employees. Salaried personnel receive paid time off. Hourly employees are not eligible for paid time off unless required by law. Hourly employees on a Service Contract Act project are eligible for paid sick leave.
Note: Pay is not considered compensation until it is earned, vested and determinable. The amount and availability of any compensation remains in Kforce's sole discretion unless and until paid and may be modified in its discretion consistent with the law.
This job is not eligible for bonuses, incentives or commissions.
Kforce is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity, national origin, age, protected veteran status, or disability status.
By clicking ?Apply Today? you agree to receive calls, AI-generated calls, text messages or emails from Kforce and its affiliates, and service providers. Note that if you choose to communicate with Kforce via text messaging the frequency may vary, and message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You will always have the right to cease communicating via text by using key words such as STOP.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
Report this job