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# Senior Devops Engineer/Site Reliability Engineer-East Coast

- **Company:** Stellar Cyber
- **Location:** New York, NY, United States
- **Experience:** Expert
- **Salary:** $165,000.0 - $215,000.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Amazon Web Services, Build Automation, Microsoft Azure, Bash Shell, Cloud Computing, Continuous Integration, Data Infrastructure, Linux, DevOps, Distributed Data Store, Distributed Systems, Elasticsearch, Github, Internet Security, Python (Programming Language), Linux System Administration, MongoDB, Redis, Reliability Engineering, Prometheus, Data Logging, Google Cloud, Cloud Platform System, System Availability, Delivery Pipeline, Grafana, Apache Spark, Containerization, Kubernetes, Deployment Automation, Apache Kafka, Terraform, Oracle Cloud Infrastructure, Docker
- **Published:** October 27, 2026
- **Apply:** https://www.careerbuilder.com/job-details/senior-devops-engineer-site-reliability-engineer-east-coast-new-york-ny--691ba0da-1c20-4c7c-9747-318982e2ff61

## About the Role

Reliability Engineering, DevOps, Government, Internet Security, Artificial Intelligence (AI), Automation, Diversity, Security Attacks, DevOps, Reliability Engineering, The ideal candidate will have strong expertise in Kubernetes, cloud infrastructure, observability, automation, CI/CD, incident management, and infrastructure reliability. This role combines DevOps engineering practices with SRE principles to improve scalability, resiliency, operational efficiency, and platform performance across production environments., * 5+ years of experience in DevOps, SRE, or Platform Engineering roles.

 * Strong expertise with Kubernetes, Docker, and container orchestration.
 * Hands-on experience managing production cloud environments.
 * Strong Infrastructure as Code experience with Terraform and Helm.
 * Experience with CI/CD tools and deployment automation.
 * Advanced troubleshooting skills in Linux systems, networking, and distributed systems.
 * Experience with observability platforms including Prometheus, Grafana, Loki, Alertmanager, and Elastic Stack.
 * Strong programming and scripting skills in Python, Bash, or Go.
 * Experience supporting high-availability production systems and on-call operations.
 * Knowledge of incident management and reliability engineering practices.
 * Familiarity with data platform technologies such as Kafka, Spark, Elasticsearch, Redis, or MongoDB.
 * Understanding of AI-driven operational tooling and automated remediation concepts.
 * Excellent communication, collaboration, and problem-solving skills.
 * Resides on the East Coast

## Description

The engineer will work closely with platform, development, and operations teams to drive automation, operational excellence, and reliability best practices for mission-critical systems., * Administer and maintain Kubernetes clusters and containerized workloads.

 * Manage cloud infrastructure across OCI, AWS, GCP, or Azure environments.
 * Develop and maintain CI/CD pipelines for reliable application deployments.
 * Implement and manage Infrastructure as Code (IaC) using Terraform and Helm.
 * Build automation tooling and operational workflows using Python, Go, or Bash.
 * Drive observability initiatives including monitoring, logging, tracing, and alerting improvements.
 * Monitor, troubleshoot, and resolve production incidents while participating in on-call rotations.
 * Support and optimize distributed data platforms including Kafka, Elasticsearch, Spark, Redis, and MongoDB.
 * Improve platform reliability, scalability, and operational efficiency using SRE best practices.
 * Collaborate with cross-functional teams across multiple time zones.
 * Perform Linux system administration and networking troubleshooting.
 * Contribute to incident response processes, postmortems, and reliability improvements.
 * Support GitOps and deployment workflows using tools such as ArgoCD and GitHub Actions.
 * Evaluate and implement AI-assisted operational tooling for auto-remediation, alert correlation, and operational intelligence.