Job description

Requirement ID: 94083 Job Title: Platform Engineer Jr Job Type: Contract Duration: 6 - 9 months Location: Irvine, CA Job Description: ROLE_DESCRIPTION "• Administer, monitor, and support hybrid cloud infrastructure and data platform services across AWS and Microsoft Azure. • Deploy, configure, monitor, and troubleshoot containerized workloads running on Kubernetes and Docker. • Support platform components including Databricks, dbt, Apache Airflow, AutoSys, LASR, and Caspian, including scheduled jobs, dependencies, and integrations. • Investigate incidents and service degradation across cloud, network, compute, storage, container, orchestration, and data platform layers. • Manage incidents, service requests, problems, changes, and engineering backlog items through ServiceNow and Jira in accordance with established SLAs and change controls. • Automate provisioning, configuration, deployment, health checks, and recurring support activities using scripting, Infrastructure as Code, and CI/CD practices. • Monitor platform availability, performance, capacity, job execution, alerts, and logs; improve dashboards and operational visibility. • Support upgrades, patching, vulnerability remediation, access controls, backup, disaster recovery readiness, and production release activities. • Create and maintain runbooks, technical documentation, troubleshooting guides, and knowledge articles. • Collaborate with application, data engineering, security, network, DevOps, and service management teams to resolve dependencies and improve platform reliability. • Participate in on-call or production-support rotation as required by the engagement. Generic Managerial Skills, If any" SKILLS_REQUIRED "• Cloud Platforms: Hands-on administration and support experience across AWS and Microsoft Azure, basic knowledge on compute, storage, networking, identity, access, and monitoring. • Containers: Practical experience with Kubernetes and Docker, including deployments, services, configuration, logs, health checks, and basic cluster troubleshooting. • Data Platforms: Working knowledge of Databricks, dbt, Apache Airflow, AutoSys, and enterprise data platform operations. Exposure to LASR and Caspian is preferred. • Infrastructure as Code and CI/CD: Experience with Terraform and CI/CD tools such as Harness, Azure DevOps, GitHub Actions, Jenkins, or equivalent. • Scripting: Ability to automate operational tasks using Python, Shell, Bash, or PowerShell. • Observability: Experience with cloud-native monitoring and log analysis using Azure Monitor, AWS CloudWatch, Datadog, Splunk, or similar tools. • IT Service Management: Proficiency with ServiceNow and Jira for incident, problem, change, service request, and backlog management. • Security and Reliability: Understanding of IAM/RBAC, secrets management, vulnerability remediation, patching, platform resilience, and disaster recovery controls. • Professional Skills: Strong troubleshooting, documentation, collaboration, and written and verbal communication skills in an enterprise environment." ESSENTIAL_SKILLS "• Cloud Platforms: Hands-on administration and support experience across AWS and Microsoft Azure, basic knowledge on compute, storage, networking, identity, access, and monitoring. • Containers: Practical experience with Kubernetes and Docker, including deployments, services, configuration, logs, health checks, and basic cluster troubleshooting. • Data Platforms: Working knowledge of Databricks, dbt, Apache Airflow, AutoSys, and enterprise data platform operations. Exposure to LASR and Caspian is preferred. • Infrastructure as Code and CI/CD: Experience with Terraform and CI/CD tools such as Harness, Azure DevOps, GitHub Actions, Jenkins, or equivalent. • Scripting: Ability to automate operational tasks using Python, Shell, Bash, or PowerShell. • Observability: Experience with cloud-native monitoring and log analysis using Azure Monitor, AWS CloudWatch, Datadog, Splunk, or similar tools. • IT Service Management: Proficiency with ServiceNow and Jira for incident, problem, change, service request, and backlog management. • Security and Reliability: Understanding of IAM/RBAC, secrets management, vulnerability remediation, patching, platform resilience, and disaster recovery controls. • • Professional Skills: Strong troubleshooting, documentation, collaboration, and written and verbal communication skills in an enterprise environment." KEYWORDS Platform Engineer, AWS, Azure, Kubernetes, Docker, Databricks, dbt, Airflow, AutoSys, Terraform, CI/CD, Harness, Python, Shell Scripting, ServiceNow, Jira, Azure Monitor, CloudWatch, Datadog, LASR, Caspian EXPERIENCE_RANGE_IN_REQUIRED_SKILLS 4-7 Role Descriptions: MFT Platform EngineerProvide workstream leadership| customer engagement| technical governance| demand planning and delivery oversight for DFS services.AWS| S3| Athena| CloudWatch| Airflow| Databricks| Dremio| Python| SQL| GitHub| metadata| profiling| schema| data quality checks| regression testing| runtime upgrades and RCA fixesDFS Platform EngineerOwn MFT operations| client engagement| escalation management| service improvements and roadmap execution.Globalscape EFT| DMZ Gateway| NDM Connect Direct| AWS S3| Kafka| Autosys| XL Deploy| secure file transfer onboarding| L3 escalation| RCA| testing and deployment validationTAS Platform EngineerLead TAS service delivery| customer governance| enhancement planning| application lifecycle oversight and escalation management.Python| R| Alteryx| SQL/PLSQL| AWS S3| SNS| ECR| Airflow| Kubernetes| Harness| production support| RCA| preventive fixes| BAU and enhancementsData EngineerLead MFT L3 support operations| onboarding activities| major incident resolution and platform optimization initiatives.Lead tactical application support delivery| enhancement development| modernization initiatives and operational improvements.Lead DFS delivery activities| oversee ingestion development| technical design| code reviews| optimization initiatives and production support.Globalscape EFT| DMZ Gateway| NDM Connect Direct| AWS S3| Kafka| Autosys| XL Deploy| secure file transfer onboarding| L3 escalation| RCA| testing and deployment validation Essential Skills: MFT Platform EngineerProvide workstream leadership| customer engagement| technical governance| demand planning and delivery oversight for DFS services.AWS| S3| Athena| CloudWatch| Airflow| Databricks| Dremio| Python| SQL| GitHub| metadata| profiling| schema| data quality checks| regression testing| runtime upgrades and RCA fixesDFS Platform EngineerOwn MFT operations| client engagement| escalation management| service improvements and roadmap execution.Globalscape EFT| DMZ Gateway| NDM Connect Direct| AWS S3| Kafka| Autosys| XL Deploy| secure file transfer onboarding| L3 escalation| RCA| testing and deployment validationTAS Platform EngineerLead TAS service delivery| customer governance| enhancement planning| application lifecycle oversight and escalation management.Python| R| Alteryx| SQL/PLSQL| AWS S3| SNS| ECR| Airflow| Kubernetes| Harness| production support| RCA| preventive fixes| BAU and enhancementsData EngineerLead MFT L3 support operations| onboarding activities| major incident resolution and platform optimization initiatives.Lead tactical application support delivery| enhancement development| modernization initiatives and operational improvements.Lead DFS delivery activities| oversee ingestion development| technical design| code reviews| optimization initiatives and production support.Globalscape EFT| DMZ Gateway| NDM Connect Direct| AWS S3| Kafka| Autosys| XL Deploy| secure file transfer onboarding| L3 escalation| RCA| testing and deployment validation Apply Now Copyright Apex 2000 INC. All Rights Reserved.

Requirements

Must-haves

Platform Engineer Jr
6 - 9 months
"• Administer, monitor, and support hybrid cloud infrastructure and data platform services across AWS and Microsoft Azure.
Deploy, configure, monitor, and troubleshoot containerized workloads running on Kubernetes and Docker.
Support platform components including Databricks, dbt, Apache Airflow, AutoSys, LASR, and Caspian, including scheduled jobs, dependencies, and integrations.
Investigate incidents and service degradation across cloud, network, compute, storage, container, orchestration, and data platform layers.
Manage incidents, service requests, problems, changes, and engineering backlog items through ServiceNow and Jira in accordance with established SLAs and change controls.
Automate provisioning, configuration, deployment, health checks, and recurring support activities using scripting, Infrastructure as Code, and CI/CD practices.
Monitor platform availability, performance, capacity, job execution, alerts, and logs; improve dashboards and operational visibility.
Support upgrades, patching, vulnerability remediation, access controls, backup, disaster recovery readiness, and production release activities.
Create and maintain runbooks, technical documentation, troubleshooting guides, and knowledge articles.
Collaborate with application, data engineering, security, network, DevOps, and service management teams to resolve dependencies and improve platform reliability.
Participate in on-call or production-support rotation as required by the engagement.
Generic Managerial Skills, If any"
"• Cloud Platforms: Hands-on administration and support experience across AWS and Microsoft Azure, basic knowledge on compute, storage, networking, identity, access, and monitoring.
Containers: Practical experience with Kubernetes and Docker, including deployments, services, configuration, logs, health checks, and basic cluster troubleshooting.
Infrastructure as Code and CI/CD: Experience with Terraform and CI/CD tools such as Harness, Azure DevOps, GitHub Actions, Jenkins, or equivalent.
Scripting: Ability to automate operational tasks using Python, Shell, Bash, or PowerShell.
Observability: Experience with cloud-native monitoring and log analysis using Azure Monitor, AWS CloudWatch, Datadog, Splunk, or similar tools.
IT Service Management: Proficiency with ServiceNow and Jira for incident, problem, change, service request, and backlog management.
Security and Reliability: Understanding of IAM/RBAC, secrets management, vulnerability remediation, patching, platform resilience, and disaster recovery controls.
Professional Skills: Strong troubleshooting, documentation, collaboration, and written and verbal communication skills in an enterprise environment."

Nice-to-haves

Data Platforms: Working knowledge of Databricks, dbt, Apache Airflow, AutoSys, and enterprise data platform operations. Exposure to LASR and Caspian is preferred.
Data Platforms: Working knowledge of Databricks, dbt, Apache Airflow, AutoSys, and enterprise data platform operations. Exposure to LASR and Caspian is preferred.

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awsazurekubernetesdockerjiraci/cdpythonsql

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