Platform Engineer II

Pacific Life

Confirmed live today High trust

Quick summary

Work type
On-site
Location
Newport Beach, CACharlotte, NC
Salary
$113,490–$138,710 / yr
Employment
Full-time
Posted
39 days ago
Freshness
Confirmed live today

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $159k
This role $126k
$92k $222k
below market most similar roles pay here above market

This role pays less than 85% of similar roles. Most pay $147,912–$170,437 — the blue band above. At the midpoint, this role pays about $126k versus about $159k for comparable roles.

Based on 240 similar postings.

Employer

About Pacific Life

Pacific Life is a life insurance company offering a wide range of life insurance, annuity, and investment products and services to individuals, businesses, and pension plans. Industry: Life Insurance & Annuities

Pacific Life currently has 57 open roles on FindRole.

Listed pay typically runs $145,080–$177,320 across 36 roles with salary data.

Most-posted roles

View all roles at Pacific Life

At a glance

TL;DR · Platform Engineer II

The Platform Engineer II joins the enterprise technology team to support end-user service and digital workplace platforms. This role focuses on improving self-service, reducing avoidable incidents, and enhancing the end-user experience. You will build, test, deploy, and maintain reusable workflows, automations, orchestration patterns, and AI-enabled or knowledge-driven solutions. Daily responsibilities include developing operational scripts, managing access models, maintaining configuration standards, and creating metrics and dashboards to measure platform health and business outcomes. The position requires proficiency in PowerShell, Python, and HTTP-based calls to manage API-based interactions. Candidates must understand enterprise identity, access, and governance concepts, including role-based permissions and secure administration. You will solve technical problems by translating complex data into actionable insights and training materials to improve overall operational performance.

What does a Platform Engineer earn?

Median $156250 from 30 postings across 22 companies.

See salary data

What you'll do

  • Build, test, deploy, and maintain reusable workflows, automations, and AI-enabled solutions to reduce manual effort.
  • Develop and maintain operational scripts, actions, and API-based interactions following security and code review standards.
  • Maintain platform access models, role-based permissions, configuration standards, and data feeds.
  • Manage the deployment, configuration, and lifecycle of platform components across the enterprise environment.
  • Develop metrics, dashboards, and reporting solutions to measure platform health and business outcomes.
  • Translate technical activity and reporting into actionable insights and training materials for other teams.

What we're looking for

  • Bachelor’s degree in Information Systems, Computer Science, Engineering, or a related field, or equivalent relevant experience.
  • 0–4 years of experience in enterprise IT supporting end-user services, digital workplace capabilities, platform administration, automation, analytics, or platform-based service delivery.
  • Exposure to enterprise platforms including configuration, access management, integrations, operational controls, lifecycle management, or service-dependent components.
  • Foundational experience building or maintaining scripts, API integrations, workflows, or service interactions using tools like PowerShell, Python, or HTTP-based calls.
  • Familiarity with enterprise identity, access, and governance concepts, including role-based access and secure administration practices.
  • Strong analytical, problem-solving, collaboration, and communication skills to translate technical findings into clear updates.
  • Hands-on experience with digital workplace platforms, enterprise service management tools, automation platforms, or operational analytics solutions (preferred).
  • Experience creating dashboards, metrics, or data feeds that support service performance, adoption, incident trends, or operational decision-making (preferred).

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