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Confirmed on the employer's own hiring board on Oct 20, 2026. First seen by Alion on Sep 25, 2026.

Overview
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Impact
Profile match
PulsePoint is an advanced data and technology company that is breaking new ground with programmatic solutions for healthcare organizations, to personalize information and improve outcomes. We are leading a revolution in radical health personalization to help organizations improve how they provide care, education and support to people when they need it most. Through programmatic automation, we interpret the hard to read signals of the customer journey and understand the connection points between relevance and engagement.
Backed by Updata Partners

Description

WebMD and its affiliates 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.

Build the platform behind PulsePoint

PulsePoint operates large-scale data and advertising platforms that power business-critical services used every day across the company.

Our Platform Engineering team owns the foundation that enables engineering teams to move quickly and safely. We build and operate the infrastructure that supports Kubernetes workloads, data platforms, developer tooling, observability and production operations at scale.

Unlike many cloud-only environments, we own the full lifecycle of the infrastructure - from bare-metal hardware and networking to Kubernetes, observability and developer experience.

The environment supports large-scale Kubernetes workloads, multi-petabyte data systems and business-critical services used across multiple engineering organizations.

We're looking for an experienced engineer to help shape its next stage of growth.

This is a hands-on role focused on architecture, reliability, automation and operational excellence. You will work on complex distributed systems, drive platform improvements and help shape the technical direction of infrastructure across the company.

What you'll work on

You'll help design, build and operate the Kubernetes platform used across PulsePoint.

Examples of challenges you may work on include:

  • Platform architecture and Kubernetes lifecycle management

  • Reliability, observability and incident response

  • Infrastructure automation and GitOps workflows

  • Networking, service connectivity and platform security

  • Developer experience and self-service platform capabilities

  • Large-scale distributed systems running on bare-metal infrastructure

Technology

You'll work in an environment that includes:

  • Kubernetes and platform services

  • Multi-petabyte data infrastructure

  • Bare-metal and cloud environments

  • GitOps and infrastructure automation

  • Modern observability and reliability engineering practices

Technologies commonly used across the environment include Kubernetes, ArgoCD, Puppet, Terraform, OpenTelemetry, Prometheus, Alertmanager, Kafka, Redis and Ceph.

Experience with every technology is not required.

Who we’re looking for

Success in this role is not measured by the number of tickets closed or clusters operated. Success means building platform capabilities that make engineering teams more reliable, productive and autonomous.

We're especially interested in engineers who:

  • Have operated production infrastructure at meaningful scale

  • Understand how distributed systems fail and recover

  • Prefer automation over repetitive operational work

  • Enjoy simplifying systems rather than adding complexity

  • Take ownership beyond the boundaries of a single component

  • Willing and able to work 9am-6pm ET U.S. hours. You can work fully remotely

Why this role

This is not a ticket-driven operational role.

You'll help define platform architecture, influence engineering standards and work on infrastructure that supports multiple engineering organizations.

The engineer joining this role is expected to become a key technical contributor shaping the future of the platform.

We try to keep the process focused and practical.

  • Introductory conversation (~60m) Learn about your background and discuss the role.

  • Technical discussion (~60m) Deep dive into systems engineering, Kubernetes and operational experience.

  • Architecture discussion (~60m) Explore platform design, distributed systems and technical decision making.

  • Leadership conversation (~30m) Meet engineering leadership and discuss team, strategy and long-term direction.

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