Platform Engineer Jr

Job Description

Job Description

Job Title: Platform Engineer Jr
Location: Onsite – Irvine, CA (Onsite)
Duration: 6 Months

• Overall Experience Required is 4–7 Years.
• Must Have 4 to 7 years in Analytics Platform System (APS).

• 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.

• 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.

• Provide 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 fixes.

• Own 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 validation.

• Lead 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 enhancements.

• Lead 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.