Home › Companies › Fa Ewjt Saasfaprod1 Fa Ocs Oraclecloud Com Cx 2 › Lead Cloud Engineer
Lead Cloud Engineer
Fa Ewjt Saasfaprod1 Fa Ocs Oraclecloud Com Cx 2 · United States; US New York (NYO) C26 · Hybrid · Active · Oracle Recruiting Cloud / Fusion HCM
Job facts
| Field | Value |
|---|---|
| Company | Fa Ewjt Saasfaprod1 Fa Ocs Oraclecloud Com Cx 2 |
| Title | Lead Cloud Engineer |
| Normalized title | - |
| Department / team | Data Analytics |
| Location | United States |
| Work model | Hybrid / Hybrid |
| Employment type | Full Time |
| Salary | - |
| Status | active |
| ATS provider | Oracle Recruiting Cloud / Fusion HCM |
| Posted / first seen | 2026-04-24 / 2026-05-31 |
| Changed / last seen | 2026-05-31 / 2026-06-06 |
Related slices
| Page | What it contains | Open |
|---|---|---|
| Company jobs | Active postings from Fa Ewjt Saasfaprod1 Fa Ocs Oraclecloud Com Cx 2. | Open |
| Company breakdowns | Role, location, ATS, and work model facets for this company. | Open |
| ATS provider jobs | Active postings observed through Oracle Recruiting Cloud / Fusion HCM. | Open |
| Provider filtered search | The same provider as a filtered job collection. | Open |
| Department jobs | Active postings in Data Analytics. | Open |
| Work model jobs | Active Hybrid postings. | Open |
| Lifecycle events | Open, update, close, and reopen events for this posting. | Open |
| Original posting | Canonical source or apply URL captured from the ATS. | Open |
Linked records
| Company | Fa Ewjt Saasfaprod1 Fa Ocs Oraclecloud Com Cx 2 |
| Source | 907773df-d032-42dc-b60a-978734f5ac21 |
| ATS provider | Oracle Recruiting Cloud / Fusion HCM |
Description
Description
This is a hands-on role focused on infrastructure automation, CI/CD, cloud platform management, and system reliability , helping ensure our AI and data workloads run efficiently in a modern cloud environment.
Responsibilities
Design, implement, and manage cloud infrastructure on AWS to support AI, data, and application workloads
Develop and maintain Infrastructure as Code (IaC) using tools such as Terraform, CloudFormation, or similar
Build and manage CI/CD pipelines to support automated build, test, and deployment of applications and data services
Manage containerized environments using Docker and container orchestration platforms
Implement monitoring, logging, and alerting frameworks to ensure high availability and reliability of systems
Optimize infrastructure performance, scalability, and cost across cloud environments
Implement and maintain security best practices , including IAM policies, network security, and secrets management
Exposure to AI initiatives and Experience supporting infrastructure needs for AI workflows.
Collaborate with data engineers to support deployment and scaling of AI and data platforms
Support platform reliability through automation, system monitoring, and incident response processes
Maintain documentation for infrastructure architecture, deployment processes, and operational procedures
Qualifications
6–9 years of experience in DevOps, Cloud Engineering, or Infrastructure Engineering roles
Strong hands-on experience with AWS cloud services
Experience implementing Infrastructure as Code using Terraform, CloudFormation, or similar tools
Experience with CI/CD tools and automation pipelines
Familiarity with containerization technologies such as Docker and container orchestration platforms
Experience implementing monitoring and logging solutions for production systems
Understanding of cloud networking, security best practices, and identity management
Experience supporting data platforms, distributed systems, or AI/ML workloads is a plus
Strong troubleshooting, automation, and collaboration skills
Organization
EXL is the indispensable partner for leading businesses in data-led industries such as insurance, banking and financial services, healthcare, retail and logistics. We bring a unique combination of data, advanced analytics, digital technology and industry expertise to help our clients turn data into insights, streamline operations, improve customer experience, and transform their business. Our partnerships with clients are built on a foundation of collaboration – and we’ve been chosen as a partner by nine of the top ten leading US insurance companies, nine of the top 20 global banks, and six of the top ten US health care payers. We function as one team to make your goals our goals, whether that’s unlocking the value of generative AI or embedding analytics into workflows that reduce risk or power your growth. Clients choose EXL as their transformation partner for many reasons. Our geographic diversity make talent all over the world instantly accessible. Digital accelerators enable unmatched speed-to-value, letting you realize results fast. It’s our people that truly set us apart, though, including the 1,500 data scientists we have dedicated to our generative AI practice. And our more than twenty years of experience in delivering business services, garnering stellar client references, and maintaining a solid balance sheet are reassuring to our C-suite clients. Find out for yourself why clients, employees, and analysts think we’re some of the best in the business. Contact us to see how we can help you achieve your goals.
Company
EXL (NASDAQ: EXLS) is a leading data analytics and digital operations and solutions company. We partner with clients using a data and AI-led approach to reinvent business models, drive better business outcomes and unlock growth with speed. EXL harnesses the power of data, analytics, AI, and deep industry knowledge to transform operations for the world’s leading corporations in industries including insurance, healthcare, banking and financial services, media and retail, among others. EXL was founded in 1999 with the core values of innovation, collaboration, excellence, integrity and respect. We are headquartered in New York and have more than 54,000 employees spanning six continents. For more information, visit www.exlservice.com .
EXL never requires or asks for fees/payments or credit card or bank details during any phase of the recruitment or hiring process and has not authorized any agencies or partners to collect any fee or payment from prospective candidates. EXL will only extend a job offer after a candidate has gone through a formal interview process with members of EXL’s Human Resources team, as well as our hiring managers.
Full job record
| Job ID | 0b8e66c25aeb5def4a1b267f1d18218037d39e0a |
| Org ID | 3ea3b397-9a23-408a-8421-50fd1d902746 |
| Source ID | 907773df-d032-42dc-b60a-978734f5ac21 |
| Board ID | 907773df-d032-42dc-b60a-978734f5ac21 |
| Provider | oracle_hcm |
| Provider Job Key | 13188 |
| Title | Lead Cloud Engineer |
| Normalized Title | — |
| Status | active |
| Active | yes |
| Location Text | United States; US New York (NYO) C26 |
| Department | Data Analytics |
| Team | — |
| Employment Type | full_time |
| Workplace Type | hybrid |
| Remote Policy | hybrid |
| Country | United States |
| Region | — |
| City | — |
| Salary Raw | Description This is a hands-on role focused on infrastructure automation, CI/CD, cloud platform management, and system reliability , helping ensure our AI and data workloads run efficiently in a modern cloud environment. Responsibilities Design, implement, and manage cloud infrastructure on AWS to support AI, data, and application workloads Develop and maintain Infrastructure as Code (IaC) using tools such as Terraform, CloudFormation, or similar Build and manage CI/CD pipelines to support automated build, test, and deployment of applications and data services Manage containerized environments using Docker and container orchestration platforms Implement monitoring, logging, and alerting frameworks to ensure high availability and reliability of systems Optimize infrastructure performance, scalability, and cost across cloud environments Implement and maintain security best practices , including IAM policies, network security, and secrets management Exposure to AI initiatives and Experience supporting infrastructure needs for AI workflows. Collaborate with data engineers to support deployment and scaling of AI and data platforms Support platform reliability through automation, system monitoring, and incident response processes Maintain documentation for infrastructure architecture, deployment processes, and operational procedures Qualifications 6–9 years of experience in DevOps, Cloud Engineering, or Infrastructure Engineering roles Strong hands-on experience with AWS cloud services Experience implementing Infrastructure as Code using Terraform, CloudFormation, or similar tools Experience with CI/CD tools and automation pipelines Familiarity with containerization technologies such as Docker and container orchestration platforms Experience implementing monitoring and logging solutions for production systems Understanding of cloud networking, security best practices, and identity management Experience supporting data platforms, distributed systems, or AI/ML workloads is a plus Strong troubleshooting, automation, and collaboration skills Organization EXL is the indispensable partner for leading businesses in data-led industries such as insurance, banking and financial services, healthcare, retail and logistics. We bring a unique combination of data, advanced analytics, digital technology and industry expertise to help our clients turn data into insights, streamline operations, improve customer experience, and transform their business. Our partnerships with clients are built on a foundation of collaboration – and we’ve been chosen as a partner by nine of the top ten leading US insurance companies, nine of the top 20 global banks, and six of the top ten US health care payers. We function as one team to make your goals our goals, whether that’s unlocking the value of generative AI or embedding analytics into workflows that reduce risk or power your growth. Clients choose EXL as their transformation partner for many reasons. Our geographic diversity make talent all over the world instantly accessible. Digital accelerators enable unmatched speed-to-value, letting you realize results fast. It’s our people that truly set us apart, though, including the 1,500 data scientists we have dedicated to our generative AI practice. And our more than twenty years of experience in delivering business services, garnering stellar client references, and maintaining a solid balance sheet are reassuring to our C-suite clients. Find out for yourself why clients, employees, and analysts think we’re some of the best in the business. Contact us to see how we can help you achieve your goals. Company EXL (NASDAQ: EXLS) is a leading data analytics and digital operations and solutions company. We partner with clients using a data and AI-led approach to reinvent business models, drive better business outcomes and unlock growth with speed. EXL harnesses the power of data, analytics, AI, and deep industry knowledge to transform operations for the world’s leading corporations in industries including insurance, healthcare, banking and financial services, media and retail, among others. EXL was founded in 1999 with the core values of innovation, collaboration, excellence, integrity and respect. We are headquartered in New York and have more than 54,000 employees spanning six continents. For more information, visit www.exlservice.com . EXL never requires or asks for fees/payments or credit card or bank details during any phase of the recruitment or hiring process and has not authorized any agencies or partners to collect any fee or payment from prospective candidates. EXL will only extend a job offer after a candidate has gone through a formal interview process with members of EXL’s Human Resources team, as well as our hiring managers. |
| Salary Min | — |
| Salary Max | — |
| Salary Currency | — |
| Salary Period | — |
| Source URL | https://fa-ewjt-saasfaprod1.fa.ocs.oraclecloud.com/hcmUI/CandidateExperience/en/sites/cx_2/job/13188 |
| Apply URL | https://fa-ewjt-saasfaprod1.fa.ocs.oraclecloud.com/hcmUI/CandidateExperience/en/sites/cx_2/job/13188 |
| First Seen At | 2026-05-31 18:05:11Z |
| Last Seen At | 2026-06-06 11:44:11Z |
| Last Checked At | 2026-06-06 11:44:11Z |
| Last Changed At | 2026-05-31 18:05:11Z |
| Inactive At | — |
| Source Posted At | 2026-04-24 12:59:05Z |
| Source Updated At | — |
| Raw Payload Uri | s3://job-postings-prod-raw-590183727216/raw/provider=oracle_hcm/board=fa-ewjt-saasfaprod1.fa.ocs.oraclecloud.com|cx_2/date=2026-06-06/2026-06-06T11-42-28-116Z-9f6f0c60410cbd3bee6b0a060a8e65cb535d3b1d1066f0984f31827798e22ea6.json |
Event Fields
{
"content_hash": "5385ad3412a7fa9f14f371a4efa134b481ebf170c6f7eb1d50a9785e8b277f03",
"source_hash": "08207190f256c75dba22d0c5477503d6a2604f2a1be4fc0ebb96dcfbe33448a2",
"last_changed_at": "2026-05-31T18:05:11.594Z",
"active_status": "active"
}Parsed Structured
{
"language": "en",
"location": {
"raw": "United States",
"city": null,
"region": null,
"country": "United States",
"is_remote": false,
"confidence": 0.8
},
"salary_max": null,
"salary_min": null,
"inferred_at": "2026-06-06T11:44:11.506Z",
"launch_scope": {
"reason": "english_us_canada",
"included": true,
"language": "en",
"location": {
"raw": "United States",
"city": null,
"region": null,
"country": "United States",
"is_remote": false,
"confidence": 0.8
},
"countries": [
"United States"
]
},
"remote_policy": "hybrid",
"salary_period": null,
"workplace_type": "hybrid",
"salary_currency": null
}Extensions
{}Native Structured
{
"detail": {
"Id": "13188",
"Title": "Lead Cloud Engineer",
"media": [],
"skills": [
{
"Skill": "Attention To Consistency",
"SectionName": "Skill"
},
{
"Skill": "Cloud Architecture",
"SectionName": "Skill"
},
{
"Skill": "Interpersonal Dynamics with Coworkers",
"SectionName": "Skill"
},
{
"Skill": "Leadership Capabilities",
"SectionName": "Skill"
},
{
"Skill": "Reporting Skills",
"SectionName": "Skill"
},
{
"Skill": "Results Orientation",
"SectionName": "Skill"
},
{
"Skill": "Risk Management",
"SectionName": "Skill"
},
{
"Skill": "Time Management Skills",
"SectionName": "Skill"
},
{
"Skill": "Working under Pressure",
"SectionName": "Skill"
},
{
"Skill": "Writing Communication Skills",
"SectionName": "Skill"
}
],
"JobType": null,
"Category": "Data Analytics",
"JobGrade": null,
"JobLevel": null,
"JobShift": null,
"WorkDays": null,
"WorkHours": null,
"WorkYears": null,
"Department": null,
"HotJobFlag": false,
"StudyLevel": "Bachelor's Degree",
"WorkMonths": null,
"WorkerType": null,
"GeographyId": 300000000467584,
"JobFamilyId": 300001172146126,
"JobFunction": "Cloud Engineering",
"JobSchedule": "Full time",
"BusinessUnit": null,
"ContractType": null,
"Organization": null,
"TrendingFlag": true,
"workLocation": [
{
"Country": null,
"Region1": null,
"Region2": null,
"Region3": null,
"Building": null,
"Latitude": "40.75922",
"Longitude": "-73.96669",
"LocationId": 300000002980605,
"PostalCode": null,
"TownOrCity": null,
"AddressLine1": null,
"AddressLine2": null,
"AddressLine3": null,
"AddressLine4": null,
"LocationName": "US New York (NYO) C26"
}
],
"ContentLocale": "en",
"HiringManager": null,
"LegalEmployer": null,
"RequisitionId": 300003125400530,
"WorkplaceType": "Hybrid",
"BusinessUnitId": 300000002965433,
"OrganizationId": 300000002988873,
"GeographyNodeId": 300001186829838,
"JobFunctionCode": "EXL_JFN_2005018629",
"LegalEmployerId": 300000002988873,
"PrimaryLocation": "United States",
"RequisitionType": "Professional",
"NumberOfOpenings": null,
"WorkplaceTypeCode": "ORA_HYBRID",
"BeFirstToApplyFlag": false,
"otherWorkLocations": [],
"secondaryLocations": [],
"ExternalContactName": null,
"ShortDescriptionStr": "We are looking for a TechOps Engineer to build and manage cloud infrastructure that supports our AI and data platform initiatives. In this role, you will be responsible for developing scalable, secure, and reliable infrastructure on AWS that enables data engineers, data scientists, and application teams to build and deploy AI-powered solutions. For more information on benefits and what we offer please visit us at https://www.exlservice.com/us-careers-and-benefits\nSalary up to $155k plus bonus\n\n ",
"ExternalContactEmail": null,
"ExternalPostedEndDate": null,
"OtherRequisitionTitle": null,
"requisitionFlexFields": [],
"ApplyWhenNotPostedFlag": false,
"DomesticTravelRequired": null,
"ExternalDescriptionStr": "<p>This is a <strong>hands-on role focused on infrastructure automation, CI/CD, cloud platform management, and system reliability</strong>, helping ensure our AI and data workloads run efficiently in a modern cloud environment.</p>",
"ObjectVerNumberProfile": "1",
"PrimaryLocationCountry": "US",
"CorporateDescriptionStr": "<div>\n EXL (NASDAQ: EXLS) is a leading data analytics and digital operations and solutions company. We partner with clients using a data and AI-led approach to reinvent business models, drive better business outcomes and unlock growth with speed. EXL harnesses the power of data, analytics, AI, and deep industry knowledge to transform operations for the world’s leading corporations in industries including insurance, healthcare, banking and financial services, media and retail, among others. EXL was founded in 1999 with the core values of innovation, collaboration, excellence, integrity and respect. We are headquartered in New York and have more than 54,000 employees spanning six continents. For more information, visit <a href=\"http://www.exlservice.com/\" target=\"_blank\" rel=\"nofollow\">www.exlservice.com</a>.\n</div>\n<div>\n <div>\n <p class=\"MsoNormal\"><br/></p>\n </div><i>EXL never requires or asks for fees/payments or credit card or bank details during any phase of the recruitment or hiring process and has not authorized any agencies or partners to collect any fee or payment from prospective candidates. EXL will only extend a job offer after a candidate has gone through a formal interview process with members of EXL’s Human Resources team, as well as our hiring managers.</i>\n</div>\n<div>\n</div>",
"ExternalPostedStartDate": "2026-04-24T12:59:05+00:00",
"ExternalQualificationsStr": "<ul>\n <li><strong>6–9 years of experience</strong> in DevOps, Cloud Engineering, or Infrastructure Engineering roles</li>\n <li>Strong <strong>hands-on</strong> experience with <strong>AWS cloud services</strong></li>\n <li>Experience implementing <strong>Infrastructure as Code</strong> using Terraform, CloudFormation, or similar tools</li>\n <li>Experience with <strong>CI/CD tools and automation pipelines</strong></li>\n <li>Familiarity with <strong>containerization technologies</strong> such as Docker and container orchestration platforms</li>\n <li>Experience implementing <strong>monitoring and logging solutions</strong> for production systems</li>\n <li>Understanding of <strong>cloud networking, security best practices, and identity management</strong></li>\n <li>Experience supporting <strong>data platforms, distributed systems, or AI/ML workloads</strong> is a plus</li>\n <li>Strong troubleshooting, automation, and collaboration skills</li>\n</ul>",
"InternalQualificationsStr": "<ul>\n <li><strong>6–9 years of experience</strong> in DevOps, Cloud Engineering, or Infrastructure Engineering roles</li>\n <li>Strong <strong>hands-on</strong> experience with <strong>AWS cloud services</strong></li>\n <li>Experience implementing <strong>Infrastructure as Code</strong> using Terraform, CloudFormation, or similar tools</li>\n <li>Experience with <strong>CI/CD tools and automation pipelines</strong></li>\n <li>Familiarity with <strong>containerization technologies</strong> such as Docker and container orchestration platforms</li>\n <li>Experience implementing <strong>monitoring and logging solutions</strong> for production systems</li>\n <li>Understanding of <strong>cloud networking, security best practices, and identity management</strong></li>\n <li>Experience supporting <strong>data platforms, distributed systems, or AI/ML workloads</strong> is a plus</li>\n <li>Strong troubleshooting, automation, and collaboration skills</li>\n</ul>",
"OrganizationDescriptionStr": "<span>EXL is the indispensable partner for leading businesses in data-led industries such as insurance, banking and financial services, healthcare, retail and logistics. We bring a unique combination of data, advanced analytics, digital technology and industry expertise to help our clients turn data into insights, streamline operations, improve customer experience, and transform their business. Our partnerships with clients are built on a foundation of collaboration – and we’ve been chosen as a partner by nine of the top ten leading US insurance companies, nine of the top 20 global banks, and six of the top ten US health care payers. We function as one team to make your goals our goals, whether that’s unlocking the value of generative AI or embedding analytics into workflows that reduce risk or power your growth. Clients choose EXL as their transformation partner for many reasons. Our geographic diversity make talent all over the world instantly accessible. Digital accelerators enable unmatched speed-to-value, letting you realize results fast. It’s our people that truly set us apart, though, including the 1,500 data scientists we have dedicated to our generative AI practice. And our more than twenty years of experience in delivering business services, garnering stellar client references, and maintaining a solid balance sheet are reassuring to our C-suite clients. Find out for yourself why clients, employees, and analysts think we’re some of the best in the business. Contact us to see how we can help you achieve your goals.</span>",
"primaryLocationCoordinates": [
{
"Latitude": "39.82844",
"Longitude": "-98.57939",
"CountryCode": "US",
"GeographyId": 300000000467584,
"GeographyNodeId": 300001186829838
}
],
"ExternalResponsibilitiesStr": "<ul>\n <li>Design, implement, and manage <strong>cloud infrastructure on AWS</strong> to support AI, data, and application workloads</li>\n <li>Develop and maintain <strong>Infrastructure as Code (IaC)</strong> using tools such as Terraform, CloudFormation, or similar</li>\n <li>Build and manage <strong>CI/CD pipelines</strong> to support automated build, test, and deployment of applications and data services</li>\n <li>Manage containerized environments using <strong>Docker and container orchestration platforms</strong></li>\n <li>Implement monitoring, logging, and alerting frameworks to ensure <strong>high availability and reliability of systems</strong></li>\n <li>Optimize infrastructure performance, scalability, and cost across cloud environments</li>\n <li>Implement and maintain <strong>security best practices</strong>, including IAM policies, network security, and secrets management</li>\n <li>Exposure to AI initiatives and Experience supporting infrastructure needs for AI workflows.</li>\n <li>Collaborate with <strong>data engineers </strong>to support deployment and scaling of AI and data platforms</li>\n <li>Support platform reliability through <strong>automation, system monitoring, and incident response processes</strong></li>\n <li>Maintain documentation for infrastructure architecture, deployment processes, and operational procedures</li>\n</ul>",
"InternalResponsibilitiesStr": "<ul>\n <li>Design, implement, and manage <strong>cloud infrastructure on AWS</strong> to support AI, data, and application workloads</li>\n <li>Develop and maintain <strong>Infrastructure as Code (IaC)</strong> using tools such as Terraform, CloudFormation, or similar</li>\n <li>Build and manage <strong>CI/CD pipelines</strong> to support automated build, test, and deployment of applications and data services</li>\n <li>Manage containerized environments using <strong>Docker and container orchestration platforms</strong></li>\n <li>Implement monitoring, logging, and alerting frameworks to ensure <strong>high availability and reliability of systems</strong></li>\n <li>Optimize infrastructure performance, scalability, and cost across cloud environments</li>\n <li>Implement and maintain <strong>security best practices</strong>, including IAM policies, network security, and secrets management</li>\n <li>Exposure to AI initiatives and Experience supporting infrastructure needs for AI workflows.</li>\n <li>Collaborate with <strong>data engineers </strong>to support deployment and scaling of AI and data platforms</li>\n <li>Support platform reliability through <strong>automation, system monitoring, and incident response processes</strong></li>\n <li>Maintain documentation for infrastructure architecture, deployment processes, and operational procedures</li>\n</ul>",
"InternationalTravelRequired": null
},
"list_job": {
"Id": "13188",
"Title": "Lead Cloud Engineer",
"JobType": null,
"Distance": 1776988800000,
"JobShift": null,
"Language": "US",
"WorkDays": null,
"JobFamily": null,
"Relevancy": 2,
"WorkHours": null,
"Department": null,
"HotJobFlag": false,
"PostedDate": "2026-04-24",
"StudyLevel": null,
"WorkerType": null,
"GeographyId": 300000000467584,
"JobFunction": null,
"JobSchedule": null,
"BusinessUnit": null,
"ContractType": null,
"ManagerLevel": null,
"Organization": null,
"TrendingFlag": true,
"workLocation": [
{
"Country": null,
"Region1": null,
"Region2": null,
"Region3": null,
"Building": null,
"Latitude": 40.75922,
"Longitude": -73.96669,
"LocationId": 300000002980605,
"PostalCode": null,
"TownOrCity": null,
"AddressLine1": null,
"AddressLine2": null,
"AddressLine3": null,
"AddressLine4": null,
"LocationName": "US New York (NYO) C26"
}
],
"LegalEmployer": null,
"MediaThumbURL": null,
"WorkplaceType": "Hybrid",
"BusinessUnitId": 300000002965433,
"OrganizationId": 300000002988873,
"PostingEndDate": null,
"LegalEmployerId": 300000002988873,
"PrimaryLocation": "United States",
"WorkDurationYears": null,
"WorkplaceTypeCode": "ORA_HYBRID",
"BeFirstToApplyFlag": false,
"WorkDurationMonths": null,
"otherWorkLocations": [],
"secondaryLocations": [],
"ShortDescriptionStr": "We are looking for a TechOps Engineer to build and manage cloud infrastructure that supports our AI and data platform initiatives. In this role, you will be responsible for developing scalable, secure, and reliable infrastructure on AWS that enables data engineers, data scientists, and application teams to build and deploy AI-powered solutions. For more information on benefits and what we offer please visit us at https://www.exlservice.com/us-careers-and-benefits\nSalary up to $155k plus bonus\n\n ",
"requisitionFlexFields": [],
"DomesticTravelRequired": null,
"PrimaryLocationCountry": "US",
"ExternalQualificationsStr": null,
"ExternalResponsibilitiesStr": null,
"InternationalTravelRequired": null
},
"detail_meta": {
"url": "https://fa-ewjt-saasfaprod1.fa.ocs.oraclecloud.com/hcmRestApi/resources/latest/recruitingCEJobRequisitionDetails?expand=all&onlyData=true&finder=ById;Id=%2213188%22,siteNumber=cx_2",
"http_status": 200,
"content_type": "application/json",
"response_bytes": 12228
},
"detail_errors": []
}Get this page with API
Rendered from the bluedoor Job Postings API. Reproduce it:
GET https://api.bluedoor.sh/job-postings/v1/jobs/0b8e66c25aeb5def4a1b267f1d18218037d39e0a?include=descriptionJSONGET https://api.bluedoor.sh/job-postings/v1/orgs/3ea3b397-9a23-408a-8421-50fd1d902746JSONGET https://api.bluedoor.sh/job-postings/v1/sources/907773df-d032-42dc-b60a-978734f5ac21JSONGET https://api.bluedoor.sh/job-postings/v1/jobs/0b8e66c25aeb5def4a1b267f1d18218037d39e0a/eventsJSON