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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
Platform tooling and automation in Go, Python and Bash, including AI-assisted engineering 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
We also expect solid fluency with code. This is not a software developer role, and we won't ask you to solve algorithm puzzles. But code is a daily working tool here, and we expect you to use it the way an engineer does. Our infrastructure tooling is written in Go, Python and Bash, so we're looking for comfort with these rather than with application-level stacks.
Read and understand code you didn't write: Helm charts, operators and controllers, Terraform modules, Puppet code, internal Go/Python tooling, and upstream open-source projects when debugging a production issue
Write automation and tooling in Go, Python or Bash (scripts, CLIs, controllers, pipelines) that is simple, tested, observable and maintainable by the rest of the team
Use LLM assistants to speed up writing code, configs and investigations, while staying fully accountable for the result: you review, test and understand every change before it reaches production
Recognize when generated code is wrong, unsafe or over-complicated, and when not to use it at all
Treat code as part of the system: review it, version it, roll it out and roll it back safely
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.
Location and Hours:
You'll be required to work 9am-6pm ET U.S. hours because it is necessary for on-call rotation.
We can hire FTEs in the U.S., UK, Germany, India, and the Netherlands. In other countries, we can hire as long-term contractors via Deel (payment is monthly, 40 hours/week).
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.Code and tooling discussion (~60m)
Work through reading, reviewing and writing infrastructure code, including AI-assisted workflows.Leadership conversation (~30m)
Meet engineering leadership and discuss team, strategy and long-term direction.