Sr. Site Reliability Engineer - SRE

Redzone

7d•Remote

About The Position

Redzone is the #1 Connected Workforce Solution for manufacturers big and small. We work to improve efficiency in plants, provide coaching for best practices, and enable the front-line worker to improve the quality of their work and their work life by providing them with tools, processes, and collaboration tools to keep their manufacturing lines running smoothly and efficiently. At Redzone we focus on the customer experience, listening to the customer, and providing solutions that create great outcomes. We are a combination of great leadership, years of manufacturing experience, and an incredible technology team that all work together to create great products. This role is fully remote. We are expanding our Site Reliability Engineering (SRE) team and seeking a highly skilled and passionate Senior SRE to join us. As a member of our growing SRE function, you will play a critical role in ensuring the reliability, scalability, and performance of our mission-critical services. This is an opportunity to shape our SRE practices, drive automation, reduce operational toil, and significantly impact our product's operational excellence.

Requirements

Demonstrated experience operating and improving production systems at scale in an SRE, Production Engineering, or Platform Engineering role.
Ability to rapidly build accurate mental models of complex distributed systems across infrastructure, applications, networking, identity, and observability domains.
Strong troubleshooting skills with a methodical, evidence-driven approach to incident response and root cause analysis.
Experience defining and using SLIs, SLOs, and error budgets to guide reliability decisions.
Excellent written and verbal communication skills.
Experience across several of the following areas: Kubernetes platforms, including Amazon EKS, and service mesh technologies such as Istio.
Cloud infrastructure and services within AWS.
Identity and access management systems, including Auth0 and AWS IAM.
Networking fundamentals, including DNS, load balancing, routing, TLS, and connectivity troubleshooting.
GitOps workflows and infrastructure automation using tools such as Flux and Terraform.
Observability platforms and practices, including metrics, logs, traces, alerting, dashboards, and synthetic monitoring.
CI/CD systems and engineering workflows.
Application logging and distributed system debugging.
Prioritizes service stability and customer impact during incidents.
Slows down under pressure, gathers facts, and communicates clearly.
Reduces operational complexity through automation and simplification.
Identifies and eliminates toil through self-service tooling and process improvement.
Demonstrates strong scripting and automation instincts.
Brings a systems-thinking approach to problem-solving.
Balances short-term remediation with long-term reliability improvements.
Demonstrated ability to build and maintain automation, tooling, and self-service capabilities using one or more programming or scripting languages such as Python, Go, or Bash.
Focuses on applying software engineering practices to improve reliability, reduce toil, and enhance developer productivity.
Calm and effective during high-severity incidents.
Skilled at managing complex situations involving multiple teams and competing priorities.
Able to lead blameless post-mortems and drive meaningful follow-up actions.
Passionate about continuous improvement and fostering a culture of shared ownership.
Uses AI assistants effectively to accelerate troubleshooting, root cause analysis, and operational decision-making.
Validates AI-generated recommendations and understands when human judgement is required.
Applies AI to automate repetitive tasks, improve runbooks, and create self-service capabilities.
Identifies opportunities to build AI-assisted workflows for incident response, observability, and platform operations.
Continuously evaluates emerging AI capabilities to improve reliability, developer experience, and operational efficiency.
Uses AI to summarise incidents, analyse logs and metrics, accelerate scripting, support code reviews, and generate operational documentation.

Nice To Haves

Experience defining and working with SLOs, SLIs, and Error Budgets.
Familiarity with other observability tools or concepts beyond Datadog.
Experience with feature flagging platforms like LaunchDarkly.

Responsibilities

Design, implement, and maintain highly available, scalable, and resilient systems that deliver exceptional customer experiences.
Serve as a subject matter expert for observability, including monitoring, alerting, logging, tracing, dashboards, and synthetic testing.
Develop robust, maintainable software and self-service tooling to automate operational tasks and improve reliability.
Identify and eliminate operational toil through automation, process improvements, and systematic problem solving.
Lead incident response, participate in on-call rotations, and drive blameless post-mortems.
Define, implement, and track Service Level Indicators (SLIs), Service Level Objectives (SLOs), and error budgets.
Leverage infrastructure as code, GitOps practices, and CI/CD automation using Terraform, Flux, and GitHub Actions.
Provide reliability expertise during system design reviews and influence architectural decisions.
Document processes, build runbooks, and mentor engineers across the organisation.
Leverage AI responsibly to accelerate investigations, improve documentation, reduce toil, and build intelligent operational workflows while maintaining appropriate human oversight, security, and governance.