USA_Engineer

Job Description

Job Description

Pay Rate Range: $ 45.45 - 51.51/hr.

Job Title: Platform Engineer Jr

Job 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.

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.

MFT Platform EngineerProvide workstream leadership| customer engagement| technical governance| demand planning and delivery oversight for Client 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 Client 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

Skills: Analytics Platform System (Client)

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

Skills:CategoryNameRequiredImportanceExperienceSkillCategoryTest1_MNAnalytics Platform System (Client)Yes14-7 years