Job description

Requirement ID: 94084 Job Title: Platform Engineer Sr Job Type: Contract Duration: 6 - 9 months Location: Irvine, CA Job Description: ROLE_DESCRIPTION "• Experience: 10+ years of progressive experience in platform engineering, cloud infrastructure, DevOps, site reliability engineering, or enterprise production support. • Cloud Architecture: Advanced hands-on expertise across AWS and Microsoft Azure, including compute, storage, networking, identity, security, governance, monitoring, resilience, and cost optimization. • Containers and Orchestration: Strong expertise with Kubernetes and Docker, including cluster operations, workload deployment, scaling, upgrades, configuration, security, performance tuning, and complex troubleshooting. • Data Platform Engineering: Strong operational experience supporting Databricks, dbt, Apache Airflow, AutoSys, and enterprise data processing environments. Experience with LASR and Caspian is preferred. • Infrastructure as Code and CI/CD: Advanced experience with Terraform and enterprise CI/CD platforms such as Harness, Azure DevOps, GitHub Actions, Jenkins, or equivalent, including reusable modules and deployment controls. • Automation: Strong scripting and automation capability using Python, Shell, Bash, or PowerShell to reduce manual effort and improve platform reliability. • Observability and SRE: Experience designing monitoring, logging, alerting, service health dashboards, SLI/SLO measures, capacity controls, and operational readiness using Azure Monitor, AWS CloudWatch, Datadog, Splunk, or similar tools. • Security and Compliance: Strong understanding of IAM/RBAC, secrets management, vulnerability remediation, patching, policy enforcement, audit readiness, business continuity, and disaster recovery. • ITSM and Agile Delivery: Proficiency with ServiceNow and Jira for incident, problem, change, service request, release, backlog, and continuous-improvement management. • Technical Leadership: Proven ability to lead technical decisions, coordinate complex incident resolution, mentor engineers, review designs, manage risks, and communicate effectively with senior stakeholders." ESSENTIAL_SKILLS "• Experience: 10+ years of progressive experience in platform engineering, cloud infrastructure, DevOps, site reliability engineering, or enterprise production support. • Cloud Architecture: Advanced hands-on expertise across AWS and Microsoft Azure, including compute, storage, networking, identity, security, governance, monitoring, resilience, and cost optimization. • Containers and Orchestration: Strong expertise with Kubernetes and Docker, including cluster operations, workload deployment, scaling, upgrades, configuration, security, performance tuning, and complex troubleshooting. • Data Platform Engineering: Strong operational experience supporting Databricks, dbt, Apache Airflow, AutoSys, and enterprise data processing environments. Experience with LASR and Caspian is preferred. • Infrastructure as Code and CI/CD: Advanced experience with Terraform and enterprise CI/CD platforms such as Harness, Azure DevOps, GitHub Actions, Jenkins, or equivalent, including reusable modules and deployment controls. • Automation: Strong scripting and automation capability using Python, Shell, Bash, or PowerShell to reduce manual effort and improve platform reliability. • Observability and SRE: Experience designing monitoring, logging, alerting, service health dashboards, SLI/SLO measures, capacity controls, and operational readiness using Azure Monitor, AWS CloudWatch, Datadog, Splunk, or similar tools. • Security and Compliance: Strong understanding of IAM/RBAC, secrets management, vulnerability remediation, patching, policy enforcement, audit readiness, business continuity, and disaster recovery. • ITSM and Agile Delivery: Proficiency with ServiceNow and Jira for incident, problem, change, service request, release, backlog, and continuous-improvement management. • • Technical Leadership: Proven ability to lead technical decisions, coordinate complex incident resolution, mentor engineers, review designs, manage risks, and communicate effectively with senior stakeholders." KEYWORDS Senior Platform Engineer, Platform Engineering, AWS, Azure, Kubernetes, Docker, Databricks, dbt, Airflow, AutoSys, Terraform, Infrastructure as Code, CI/CD, Harness, Python, Shell Scripting, SRE, Observability, ServiceNow, Jira, Azure Monitor, CloudWatch, Datadog, LASR, Caspian, Technical Leadership EXPERIENCE_RANGE_IN_REQUIRED_SKILLS 10+ 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 Desirable Skills: Keyword: Skills: Analytics Platform System (APS) Experience Required: 10 & Above Apply Now Copyright Apex 2000 INC. All Rights Reserved.

Requirements

Must-haves

Platform Engineer Sr
6 - 9 months
"• Experience: 10+ years of progressive experience in platform engineering, cloud infrastructure, DevOps, site reliability engineering, or enterprise production support.
Cloud Architecture: Advanced hands-on expertise across AWS and Microsoft Azure, including compute, storage, networking, identity, security, governance, monitoring, resilience, and cost optimization.
Containers and Orchestration: Strong expertise with Kubernetes and Docker, including cluster operations, workload deployment, scaling, upgrades, configuration, security, performance tuning, and complex troubleshooting.
Automation: Strong scripting and automation capability using Python, Shell, Bash, or PowerShell to reduce manual effort and improve platform reliability.
Security and Compliance: Strong understanding of IAM/RBAC, secrets management, vulnerability remediation, patching, policy enforcement, audit readiness, business continuity, and disaster recovery.
ITSM and Agile Delivery: Proficiency with ServiceNow and Jira for incident, problem, change, service request, release, backlog, and continuous-improvement management.
Technical Leadership: Proven ability to lead technical decisions, coordinate complex incident resolution, mentor engineers, review designs, manage risks, and communicate effectively with senior stakeholders."
"• Experience: 10+ years of progressive experience in platform engineering, cloud infrastructure, DevOps, site reliability engineering, or enterprise production support.
Cloud Architecture: Advanced hands-on expertise across AWS and Microsoft Azure, including compute, storage, networking, identity, security, governance, monitoring, resilience, and cost optimization.
Containers and Orchestration: Strong expertise with Kubernetes and Docker, including cluster operations, workload deployment, scaling, upgrades, configuration, security, performance tuning, and complex troubleshooting.
Automation: Strong scripting and automation capability using Python, Shell, Bash, or PowerShell to reduce manual effort and improve platform reliability.
Security and Compliance: Strong understanding of IAM/RBAC, secrets management, vulnerability remediation, patching, policy enforcement, audit readiness, business continuity, and disaster recovery.
ITSM and Agile Delivery: Proficiency with ServiceNow and Jira for incident, problem, change, service request, release, backlog, and continuous-improvement management.
Technical Leadership: Proven ability to lead technical decisions, coordinate complex incident resolution, mentor engineers, review designs, manage risks, and communicate effectively with senior stakeholders."
Skills: Analytics Platform System (APS)
Experience Required: 10 & Above
Copyright Apex 2000 INC. All Rights Reserved.

Nice-to-haves

Data Platform Engineering: Strong operational experience supporting Databricks, dbt, Apache Airflow, AutoSys, and enterprise data processing environments. Experience with LASR and Caspian is preferred.
Data Platform Engineering: Strong operational experience supporting Databricks, dbt, Apache Airflow, AutoSys, and enterprise data processing environments. Experience with LASR and Caspian is preferred.

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awsazurekubernetesdockerci/cdpythonagilejirasql

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