Platform Engineer Jr

Tata Consultancy Services Ltd

  • Irvine, CA
  • 21 days ago
  • $110,000–$150,000 Per Year

Highlights

Manage incidents, service requests, problems, changes, and engineering backlog items through ServiceNow and Jira in accordance with established SLAs and change controls. Cloud Platforms: Hands-on administration and support experience across AWS and Microsoft Azure, basic knowledge on compute, storage, networking, identity, access, and monitoring.

Numbers & Facts

LocationIrvine, CA
Salary$110,000–$150,000 Per Year

Description

Role: Engineer

Required Skills: AWS

Experience: 6 - 10 Years

Function: TECHNOLOGY

Apply By: 2026-11-28

Platform Engineer Jr

Must Have Technical/Functional 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.

Roles & Responsibilities

  • 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.

Salary Range- $110,000-$150,000 a year

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