Production Engineer

WebMD; Newark (NJ); On-site; USD 109,000 - 120,000; Full time

Benefits offered by this job

Health Insurance

Paid Time Off

401(k) Retirement Plan with employer-m

Life and Disability Insurance

Employee Assistance Program (EAP)

Commuter/Transit Benefits

Job summary

WebMD is seeking a Production Engineer to join the SRE team to manage and evolve the backend stack, focusing on Windows-based infrastructure, Linux, and Kubernetes. You will automate with PowerShell and Python, own the Observability stack (Prometheus and ELK), and drive improvements across uptime and scalability.

The role requires 4+ years in IT/Infrastructure, strong troubleshooting of distributed systems, and solid communication.

Qualifications

• Bachelor's degree in Computer Science or a related field.
• 4+ years IT/Infrastructure experience, with 2+ years supporting high-traffic web apps.
• Troubleshooting distributed systems, IIS and web applications.
• Fundamental networking concepts and traffic management with F5 Big-IP.
• Open, adaptive mindset toward Linux CLI and AI tool integration.
• Excellent communication to convey technical concepts clearly.

Responsibilities

• Manage Windows Server environments and Kubernetes clusters for high availability.
• Automate tasks with PowerShell and Python to streamline workflows.
• Own Observability stack (Prometheus, Grafana, ELK) for full-stack visibility.
• Identify infra improvement opportunities and drive change with Ops teams.
• Participate in on-call rotation to resolve production issues.

Skills

Windows Server OS

Linux CLI

On-call rotation experience

Strong communication

Adaptive mindset

Distributed systems troubleshooting

IIS/web apps troubleshooting

Education

Bachelor's degree in Computer Science or related field

Tools

PowerShell

Python

Go

Kubernetes

Prometheus

Grafana

ELK Stack

Puppet

Ansible

F5 Big-IP

Redis

Kafka

RabbitMQ

GitLab

Jenkins

Azure DevOps

Job description

WebMD is the most recognized and trusted brand of health information and the leading provider of health information services, serving consumers, physicians, healthcare professionals, employers and health plans through our public and private online portals and WebMD the Magazine. The WebMD Health Network includes WebMD, Medscape, MedicineNet, eMedicine, RxList, theheart.org and Medscape Education. Our consumer portals and mobile health applications provide engaging, relevant and credible health and wellness information, personalized health assessment tools and access to online communities.

WebMD is an Equal Opportunity/Affirmative Action employer and does not discriminate on the basis of race, ancestry, color, religion, sex, gender, age, marital status, sexual orientation, gender identity, national origin, medical condition, disability, veterans status, or any other basis protected by law.

About the job:

As a Production Engineer, you’ll join WebMD’s SRE team to manage, improve, and evolve our entire backend stack. In this role, you will focus heavily on maintaining our Windows-based infrastructure as well as Linux and Kubernetes.

You will:

• Manage and optimize our Windows Server environments and Kubernetes clusters to ensure the high availability and reliability of WebMD’s popular sites and services.
• Automate tasks and routines through modern scripting (primarily PowerShell and Python), simplifying developer and operations workflows.
• Take ownership of tasks and projects within our Observability stack (including Prometheus and ELK) to maintain full-stack visibility, latency tracking, and scalability.
• Identify opportunities for infrastructure improvement, collaborate with other Operations teams, and act as a driver of change.

A successful candidate will be able to:

• Demonstrate fluency in working with Windows Server operating systems, paired with a strong command-line aptitude and a willingness to learn or work within Linux environments.
• Show hands-on proficiency in deploying, managing, or troubleshooting workloads within Kubernetes.
• Provide samples of automation scripts built using PowerShell, Python, or Go.
• Leverage AI-assisted engineering tools (such as GitHub Copilot, Claude Code, or LLMs) to accelerate scripting, troubleshooting, and daily operational workflows.
• Drive continuous improvement within our Observability and monitoring ecosystems (Prometheus, Grafana, ELK Stack).
• Demonstrate operational competency with critical stack technologies:
  • Configuration management (e.g., Puppet, Ansible)
  • Load balancers (specifically F5 Big-IP)
  • Data and messaging layers (e.g., Redis, Kafka, RabbitMQ)
  • Convey a fundamental understanding of CI/CD pipelines (GitLab, Jenkins, or Azure DevOps).
• Participate in the team’s on-call rotation to address production issues outside of working hours.

About you (Qualifications):

• Bachelor's degree in Computer Science, Technology, Engineering, Math, or equivalent practical experience.
• 4+ years of overall experience in IT/Infrastructure, with 2+ years of relevant experience supporting web-based applications for large-scale, high-traffic websites.
• Proven experience troubleshooting and performance tuning distributed systems, IIS, and web applications.
• Fundamental understanding of network concepts (TCP/IP, DNS, HTTP) and traffic management via F5 Big-IP.
• An open, adaptive mindset toward adopting new methodologies, whether that means jumping into a Linux CLI or integrating AI tools into your daily engineering workflow.
• Excellent communication skills, with the ability to convey detailed technical concepts clearly to both peers and non-technical stakeholders.

Bonus Eligible:

This position is also eligible for a discretionary company bonus, based upon business results.

Compensation:

$109,000 - $120,000

Benefits:

• Health Insurance (medical, dental, and vision coverage)
• Paid Time Off (including vacation, sick leave, and flexible holiday days)
• 401(k) Retirement Plan with employer matching
• Life and Disability Insurance
• Employee Assistance Program (EAP)
• Commuter and/or Transit Benefits (if applicable)

Eligibility for specific benefits may vary based on job classification, schedule (e.g., full-time vs. part-time), work location and length of employment.