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# Lead DevOps Engineer

- **Company:** SECURE ROOTS
- **Location:** Chicago, IL, United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Java (Programming Language), Amazon Web Services, Amazon Elastic Compute Cloud, Cloud Computing, Data Stores, DevOps, Disaster Recovery, Distributed Systems, Monitoring of Systems, Python (Programming Language), NoSQL, Performance Tuning, Reliability Engineering, Ansible, Prometheus, Scala (Programming Language), SQL Databases, Datadog, Data Logging, Grafana, Event Driven Architecture, Containerization, Kubernetes, Hashicorp, Apache Kafka, Terraform, Dynatrace, Pagerduty, Jenkins, Golang, Microservices
- **Published:** June 16, 2026
- **Apply:** https://www.dice.com/job-detail/2e27b949-e61e-497e-b34f-c7e9eb471efd

## About the Role

* AWS (EC2), Kubernetes, Kafka, Jenkins, Terraform, Ansible, HashiCorp Vault
 * Prometheus, Grafana, OpenTelemetry, Datadog, or similar monitoring tools
 * Chaos engineering principles and tooling (e.g., Chaos Monkey, Gremlin, LitmusChaos)
 * PagerDuty, OpsGenie, or other incident management platforms
 * Microservices, distributed systems, and event-driven architectures
 * Cloud networking and security
 * SQL, NoSQL, and in-memory data stores
 * Development experience with Java, Python, Scala, or Golang
 * Multi-region/high-availability architecture and disaster recovery
 * Strong understanding of SRE principles, automation, and cloud-native technologies, * 8+ years of experience building large-scale, data-centric solutions
 * 8+ years of recent experience in DevOps, SRE, or Platform Engineering environments
 * Experience working in fast-paced, highly available enterprise environments
 * Strong communication and collaboration skills

## Description

* Lead DevOps and Site Reliability Engineering (SRE) initiatives across enterprise platforms.
 * Design and implement CI/CD pipelines in Kubernetes environments.
 * Manage and support multi-region Kubernetes and Kafka platforms.
 * Define and drive SLOs, SLIs, Error Budgets, and operational excellence practices.
 * Build observability solutions using metrics, logging, and distributed tracing.
 * Drive automation initiatives using Terraform, Ansible, and Infrastructure-as-Code.
 * Lead incident response, post-mortems, runbook creation, and on-call processes.
 * Partner with Product, Infrastructure, Security, and Architecture teams to deliver scalable and secure solutions.
 * Support capacity planning, failover strategies, and performance optimization.


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