About PlayerZero

Building great software takes more than writing code. It takes teams working together and too often, the information they need is scattered across tools, conversations, and systems.

PlayerZero is an AI platform that connects work across enterprise Support, Engineering, Product, QA, and SRE teams, helping them resolve issues faster, improve software quality, and plan what to build next.

At its core is our Engineering World Model: a living understanding of a company’s software, how it runs, and the people and decisions behind it. By connecting codebases, tickets, production telemetry, and the conversations that shape the work, our model links what software is intended to do with how it actually behaves in production. and learns from where the two diverge.

Our agents (we call them Players:) use that context to take on work across the software lifecycle. They learn from each outcome, earning trust and taking on more responsibility over time.

We’re building a future where AI plays an active role in how teams plan, build, and run software. We’re looking for people across disciplines to help shape

About the role

As a Site Reliability Engineer, you’ll improve the reliability, security, and visibility of PlayerZero’s production systems. You’ll combine hands-on AWS infrastructure operations with automation, monitoring, and application instrumentation to help engineers understand system behavior and resolve problems at their source.

You’ll partner closely with our existing SRE and engineering teams to operate distributed services and stateful data systems, reduce operational toil, and strengthen incident response. We’re looking for someone who can independently investigate complex issues, safely change production infrastructure, and follow improvements through to completion.

What you will do

Operate production infrastructure and data systems. Maintain AWS environments and systems such as Kafka, Pulsar, and Valkey, including upgrades, replication health, rolling restarts, and failover.

Automate operational work. Build tools and workflows that eliminate repetitive tasks, reduce manual intervention, and make production operations more consistent.

Improve monitoring and instrumentation. Work with engineers to instrument application code and strengthen metrics, logs, distributed tracing, dashboards, and actionable alerts.

Troubleshoot and respond to incidents. Investigate problems across applications, infrastructure, networking, and data systems. Help restore service and turn findings into lasting fixes and useful runbooks.

Make infrastructure changes and deployments safer. Partner with Platform and application engineers on infrastructure as code, CI/CD, configuration management, rollback practices, and production readiness.

Keep production systems secure and current. Perform OS and kernel patching, remediate infrastructure vulnerabilities within agreed timelines, and execute safe rolling maintenance.

Improve performance and resilience. Identify bottlenecks and failure modes, assess capacity needs, and help establish practical service health indicators and reliability targets.

What you bring

Experience independently operating, troubleshooting, and improving production services in an SRE, production engineering, or similar role.

Hands-on AWS production experience, including EC2, VPC networking, IAM, Auto Scaling Groups, and Systems Manager, ideally across multiple accounts.

Strong fundamentals in Linux, networking, and distributed systems.

Experience operating distributed data systems such as Kafka, Pulsar, or Redis/Valkey, including upgrades, rolling restarts, replication, and failover.

Strong programming or scripting skills, with experience building operational automation and improving application instrumentation.

Experience with metrics, logs, distributed tracing, and alerting, including OpenTelemetry or comparable instrumentation.

Production experience with infrastructure as code, preferably Terraform, including safely modifying existing infrastructure and state, alongside CI/CD, containers, and repeatable deployment practices.