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HomeCompaniesFa Ewjt Saasfaprod1 Fa Ocs Oraclecloud Com Cx 2Lead 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

FieldValue
CompanyFa Ewjt Saasfaprod1 Fa Ocs Oraclecloud Com Cx 2
TitleLead Cloud Engineer
Normalized title-
Department / teamData Analytics
LocationUnited States
Work modelHybrid / Hybrid
Employment typeFull Time
Salary-
Statusactive
ATS providerOracle Recruiting Cloud / Fusion HCM
Posted / first seen2026-04-24 / 2026-05-31
Changed / last seen2026-05-31 / 2026-06-06

Related slices

PageWhat it containsOpen
Company jobsActive postings from Fa Ewjt Saasfaprod1 Fa Ocs Oraclecloud Com Cx 2.Open
Company breakdownsRole, location, ATS, and work model facets for this company.Open
ATS provider jobsActive postings observed through Oracle Recruiting Cloud / Fusion HCM.Open
Provider filtered searchThe same provider as a filtered job collection.Open
Department jobsActive postings in Data Analytics.Open
Work model jobsActive Hybrid postings.Open
Lifecycle eventsOpen, update, close, and reopen events for this posting.Open
Original postingCanonical source or apply URL captured from the ATS.Open

Linked records

CompanyFa Ewjt Saasfaprod1 Fa Ocs Oraclecloud Com Cx 2
Source907773df-d032-42dc-b60a-978734f5ac21
ATS providerOracle 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 ID0b8e66c25aeb5def4a1b267f1d18218037d39e0a
Org ID3ea3b397-9a23-408a-8421-50fd1d902746
Source ID907773df-d032-42dc-b60a-978734f5ac21
Board ID907773df-d032-42dc-b60a-978734f5ac21
Provideroracle_hcm
Provider Job Key13188
TitleLead Cloud Engineer
Normalized Title
Statusactive
Activeyes
Location TextUnited States; US New York (NYO) C26
DepartmentData Analytics
Team
Employment Typefull_time
Workplace Typehybrid
Remote Policyhybrid
CountryUnited States
Region
City
Salary RawDescription 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
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Salary Currency
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Source URLhttps://fa-ewjt-saasfaprod1.fa.ocs.oraclecloud.com/hcmUI/CandidateExperience/en/sites/cx_2/job/13188
Apply URLhttps://fa-ewjt-saasfaprod1.fa.ocs.oraclecloud.com/hcmUI/CandidateExperience/en/sites/cx_2/job/13188
First Seen At2026-05-31 18:05:11Z
Last Seen At2026-06-06 11:44:11Z
Last Checked At2026-06-06 11:44:11Z
Last Changed At2026-05-31 18:05:11Z
Inactive At
Source Posted At2026-04-24 12:59:05Z
Source Updated At
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Extensions
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Native Structured
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