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职位MetLife

Director Database Reliability Engineering

MetLife

Director Database Reliability Engineering

MetLife

·

On-site

·

Full-time

·

3w ago

Location(s)

  • Posting Location: Tampa, Florida

  • Posting Location: Cary, North Carolina

City/Cities

Cary, Tampa

Region/States

Florida, North Carolina

Country

United States

Working Schedule

Full-Time

Work Arrangement

Hybrid

Travel Required

10%

Relocation Assistance Available

No

Posted Date

26-Mar-2026

Job ID

16144

Description and Requirements

Role Value Proposition:

Join Met Life’s Database Infrastructure Services (DIS) team, where we are committed to redefining how database platforms support the future of our business. Our mission is to empower our customers and employees by building robust, scalable, and intelligent data solutions that drive confidence and innovation. We are seeking a visionary leader to inspire and guide our team through a transformative journey towards automation, advanced intelligence, and operational excellence.

As Director of Database Reliability Engineering, you will be the architect of our evolution from traditional, manual database operations to a modern, automation-first discipline. This role is designed for a hands-on technical leader who thrives on enabling and accelerating transformation through Infrastructure as Code (IaC), modern coding practices, and cutting-edge observability. In addition to automation, you will champion the adoption of AI and AIOps solutions to enhance the team’s ability to deliver real-time visibility, intelligent monitoring, and rapid incident response. Your leadership will empower teams to replace manual incident response with automated and AI-driven detection, response, and recovery—ensuring rapid containment and continuous reliability.

Key Responsibilities:

  • Champion the end-to-end transformation of database operations, instilling a culture of automation, innovation, and continuous improvement.
  • Lead by example in adopting Infrastructure as Code, driving the development and implementation of self-service, scalable solutions that eliminate manual bottlenecks.
  • Promote the integration of modern coding standards, test automation, and CI/CD practices to enhance code quality, velocity, and platform reliability.
  • Advance observability across all database services by implementing real-time monitoring, analytics, and AI/AIOps-driven solutions for proactive issue detection and intelligent remediation.
  • Leverage automation and AI technologies to streamline detection, response, and recovery processes, reducing operational risks and elevating service reliability.
  • Inspire and mentor teams, cultivating technical excellence and fostering a forward-looking, collaborative environment.
  • Ensure all database platforms and processes adhere to security, compliance, and business continuity standards.

Essential Business Experience and Technical Skills:

Required Skills:

  • Advanced degree in Computer Science, Information Systems, or related technical field.
  • 5+ years of people leadership experience, including performance reviews, performance development, and coaching.
  • Proven ability to lead enterprise transformation from traditional operations to automation-first, reliability-engineering ways of working.
  • Strong experience implementing and using modern observability platforms (Data Dog, Dyna Trace, Elastic) and applying AI/AIOps to improve detection, response, and remediation.
  • Hands-on expertise driving automation with Infrastructure as Code and modern DevOps practices (e.g., CI/CD, test automation, Git Ops) using tools such as Terraform, Ansible, Azure DevOps, Python, and Kubernetes/Open Shift.

Preferred:

  • Experience in regulated industries (e.g., finance, insurance, healthcare).
  • Strong, extensive knowledge and hands-on experience in on-premise database administration (preference for IBM Db2).
  • Familiarity with hybrid-cloud data strategies or enterprise-scale data platforms.
  • Demonstrated success in global organizations, coordinating initiatives and deliverables across time zones.
  • Experience with deploying AI and AIOps capabilities to improve database operations and incident management.

At Met Life, we’re leading the global transformation of an industry we’ve long defined. United in purpose, diverse in perspective, we’re dedicated to making a difference in the lives of our customers.

Location Expectation: This is a hybrid role requiring a minimum of 3 days per week in office.

The expected salary range for this position is $130,000 - $175,000. This role may also be eligible for annual short-term incentive compensation. All incentives and benefits are subject to the applicable plan terms.

Benefits We Offer

Our U.S. benefits address holistic well-being with programs for physical and mental health, financial wellness, and support for families. We offer a comprehensive health plan that includes medical/prescription drug and vision, dental insurance, and no-cost short- and long-term disability. We also provide company-paid life insurance and legal services, a retirement pension funded entirely by Met Life and 401(k) with employer matching, group discounts on voluntary insurance products including auto and home, pet, critical illness, hospital indemnity, and accident insurance, as well as Employee Assistance Program (EAP) and digital mental health programs, parental leave, paid time off, paid holidays, volunteer time off, tuition assistance and much more!

About Met Life

Recognized
on Fortune magazine's list of the "World's Most Admired Companies",
Fortune World’s 25 Best Workplaces™, as well as the Fortune 100 Best Companies
to Work For®, Met Life, through its subsidiaries and affiliates, is one of the
world’s leading financial services companies; providing insurance, annuities,
employee benefits and asset management to individual and institutional
customers. With operations in more than 40 markets, we hold leading positions
in the United States, Latin America, Asia, Europe, and the Middle East.

Our purpose
is simple - to help our colleagues, customers, communities, and the world at
large create a more confident future. United by purpose and guided by our core
values

  • Win Together, Do the Right Thing, Deliver Impact Over Activity, and
    Think Ahead - we’re inspired to transform the next century in financial
    services. At Met Life, it’s #All Together Possible. Join us!

Met Life is an Equal Opportunity Employer. All employment decisions are made without regards to race, color, national origin, religion, creed, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity or expression, age, disability, marital or domestic/civil partnership status, genetic information, citizenship status (although applicants and employees must be legally authorized to work in the United States), uniformed service member or veteran status, or any other characteristic protected by applicable federal, state, or local law (“protected characteristics”).
If you need an accommodation due to a disability, please email us at accommodations@metlife.com. This information will be held in confidence and used only to determine an appropriate accommodation for the application process.

Met Life maintains a drug-free workplace.

$130,000 - $175,000

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关于MetLife

MetLife

MetLife

Public

MetLife, Inc. is the holding corporation for the Metropolitan Life Insurance Company (MLIC), better known as MetLife, and its affiliates. MetLife is among the largest global providers of insurance, annuities, and employee benefit programs, with around 90 million customers in over 60 countries.

10,001+

员工数

New York

总部位置

$52B

企业估值

评价

3.8

10条评价

工作生活平衡

4.0

薪酬

2.5

企业文化

4.2

职业发展

2.3

管理层

3.0

65%

推荐给朋友

优点

Good work-life balance and flexible schedules

Supportive and collaborative team environment

Good benefits package

缺点

Below market compensation and salary

Limited career advancement and growth opportunities

High workload and overwhelming demands at times

薪资范围

895个数据点

Junior/L3

Mid/L4

Junior/L3 · Data Analyst

0份报告

$72,360

年薪总额

基本工资

-

股票

-

奖金

-

$61,506

$83,214

面试经验

8次面试

难度

2.5

/ 5

时长

14-28周

录用率

13%

体验

正面 13%

中性 62%

负面 25%

面试流程

1

Application Review

2

Recruiter Screen

3

Phone/Technical Interview

4

Video Interview

5

Final Interview

6

Offer

常见问题

Technical Knowledge

Behavioral/STAR

Past Experience

Culture Fit

Coding/Algorithm