Reliability Engineer: Automation, Kubernetes & Resilience

Compunnel, Inc.; Texas; Hybrid; USD 140,000 - 190,000; Full time

Job summary

Compunnel, Inc. is seeking a Reliability Engineer to help scale production insight, data, and backup recovery, with a focus on automation and observability across container platforms in a cloud environment.

You will drive recovery automation, manage Kubernetes clusters, and collaborate with client teams to improve resiliency and incident response across distributed systems.

Qualifications

• Bachelor’s Degree or equivalent experience in a technology related field is required.
• Production experience running Cloud and on‑prem Storage workloads at scale.
• Experience managing and maintaining Kubernetes Clusters on EKS/AKS and RKS.
• Drive for continuous improvement and ability to tackle complex problems.
• Experience managing and interpreting large datasets using query languages and visualization tools (PowerBI/Tableau).
• Experience in software development with Python, NodeJS, or Java with a focus on SDLC and automation.
• 5–7 years of hands‑on experience deploying and/or supporting highly distributed multi‑tiered systems at scale.
• Experience building and deploying Docker images including Docker Compose.
• Hands‑on experience with Jenkins Core, including authoring and maintaining declarative CI/CD pipelines and libraries.
• Experience with distributed version control systems, Git preferred.
• Experience crafting and maintaining logging, monitoring, and alerting using Datadog and Splunk.
• Practical experience in building cloud hosted and native applications for the enterprise.
• Deep understanding of AWS/Azure services that support reliability, observability, and automation/orchestration.
• Experience in incident/crisis management and supporting critically important applications.
• Experience with observability tools (Prometheus, Grafana, ELK/OpenSearch, OpenTelemetry, Datadog).
• Ability to automate with scripting languages (Python, Shell scripting, etc.).
• Experience managing systems using infrastructure as code tools (IAM, ARM, Terraform, Chef).

Responsibilities

• Automate recovery workflows.
• Rehouse recovery into alternate datacenters.
• Test recovery processes.
• Advance enterprise resiliency through improved recovery capabilities.
• Reduce recovery time via automation.
• Enable rehoused recovery into new datacenters.
• Strengthen platform reliability through data protection design.
• Craft scalable solutions and automation to monitor the health and establish signals to drive understanding of Container Platform environments.
• Strengthen operational processes with client’s support and incident management teams for cloud ecosystem.
• Drive ongoing reliability improvements in their Kubernetes service offerings.
• Prioritize client / partner needs to serve as their voice and guide execution of the team.

Skills

Kubernetes

Python

NodeJS

Java

Git

Terraform

Jenkins CI/CD

AWS/Azure

OpenTelemetry

Datadog

Splunk

Docker

CI/CD pipelines

Education

Bachelor’s Degree or equivalent experience in a technology related field

Tools

Kubernetes (EKS/AKS/RKS)

Docker

Jenkins Core

Git

Datadog

Splunk

OpenTelemetry

Terraform

IAM/ARM/Terraform/Chef

PowerBI/Tableau

Job description

JOB SUMMARY
The Reliability Engineering group within Enterprise Infrastructure combines Operations Excellence with the Development Experience to deliver services at high scale, high availability with resilience by using automation and Infrastructure Code. We build reliability into our ecosystem by applying standards in Resiliency Engineering, Automation, Observability & Chaos Testing. Additionally, this role contributes to enterprise backup and recovery capabilities including automation of recovery workflows, rehoused recovery into alternate datacenters, and testing of recovery processes. We are looking for a systems thinking, reliability engineer who has helped teams scale through production insight, data and backup recovery, operational automation, developer guidance, real-time metrics, automation, automation, automation. Crafting scalable solutions and automation to monitor the health and establish signals to drive understanding of our Container Platform environments. Strengthening operational processes with client's support and incident management teams for our cloud ecosystem Working with client's and cloud service provider product teams and driving ongoing reliability improvements in their Kubernetes service offerings. Anticipating, discovering through ongoing interaction with, and prioritizing client / partner needs to serve as their voice and guide execution of the team.

Key Responsibilities
Automate recovery workflows
Rehouse recovery into alternate datacenters
Test recovery processes
Advance enterprise resiliency through improved recovery capabilities
Reduce recovery time via automation
Enable rehoused recovery into new datacenters
Strengthen platform reliability through data protection design
Craft scalable solutions and automation to monitor the health and establish signals to drive understanding of Container Platform environments
Strengthen operational processes with client's support and incident management teams for cloud ecosystem
Drive ongoing reliability improvements in their Kubernetes service offerings
Prioritize client / partner needs to serve as their voice and guide execution of the team

Required Qualifications
Bachelor’s Degree or equivalent experience in a technology related field (e.g. Computer Science, Engineering, etc.) required.
Production experience running Cloud and on-prem Storage workloads at scale
Experience managing and maintaining Kubernetes Clusters on EKS/AKS and RKS.
Demonstrates a drive for continuous improvement and enjoys tackling complex problems.
Experience managing and interpreting large datasets using query languages and visualization tools(PowerBI/tableau)
Experience in software development with Python, NodeJS, or Java with a focus on SDLC and automation
5 -7 years of hands-on experience deploying and/or supporting highly distributed multi-tiered systems at scale.
Experience building and deploying Docker images including Docker Compose
Hands-on experience with Jenkins Core, including authoring and maintaining declarative CI/CD pipelines and libraries
Experience with distributed version control systems, Git preferred
Experience crafting and maintaining logging, monitoring, and alerting capabilities using tools like Datadog and Splunk
Practical experience in building cloud hosted and native applications for the enterprise.
Maintains a deep understanding of a wide variety of AWS/Azure services that support reliability, observability, and automation/orchestration.
Experience in incident/crisis management and supporting critically important applications
Hard on experience with one or more observability tools (Prometheus, Grafana, ELK/OpenSearch, OpenTelemetry, Datadog, etc.)
Ability to automate with various scripting languages (Python, Shell scripting, etc.)
Experience managing systems using infrastructure as code tools (IAM, ARM, Terraform, Chef)

Preferred Qualifications
Go, Angular, Python, JavaScript, AWS, RESTful services, Ruby, MVC, Jenkins CI/CD, Configuration Automation (Chef, Ansible)
Bootstrap, HTML/CSS, Shell Scripting, messaging frameworks (MQ), Service Oriented/Micro-service Architectures, OpenStack, Relational Databases (PostgreSQL)
Comfortable working in both Public and private cloud environments