SC Senior DevOps Engineer / Site Reliability Engineer-East Coast Stellar Cyber · Remote · US · DevOps & Release $165,000–$215,000 4mo ago

Devopsroles

United States

Hybrid

USD 165,000 - 215,000

Full time

14 days+

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Benefits offered by this job

Pre-IPO Stock Options
Medical, Dental & Vision care
401(k)
Employee Assistance Program
Employee Discount Program
Life Insurance
Paid time off
Referral Program
Rewards and Recognition Program

Job summary

Devopsroles is seeking a Senior DevOps/SRE to design, operate, and scale cloud-native infrastructure and data platforms. The role focuses on reliability, automation, and platform performance across production environments.

The ideal candidate will lead Kubernetes clusters, manage multi-cloud infrastructure, build CI/CD pipelines, and implement IaC with Terraform and Helm, while advancing observability and incident response across global teams.

Qualifications

  • 5+ years in DevOps, SRE, or Platform Engineering.
  • Kubernetes, Docker, and container orchestration skills.
  • Hands-on production cloud environment experience.
  • Terraform and Helm for IaC.
  • CI/CD tools and deployment automation.
  • Advanced Linux, networking, and distributed systems troubleshooting.
  • Observability with Prometheus, Grafana, Loki, Alertmanager, Elastic Stack.
  • Programming in Python, Bash, or Go.
  • Experience supporting high-availability production systems and on-call operations.
  • Knowledge of incident management and reliability practices.
  • Familiarity with Kafka, Spark, Elasticsearch, Redis, MongoDB.
  • Understanding of AI-driven operational tooling.

Responsibilities

  • Administer and scale Kubernetes clusters and containerized workloads.
  • Manage cloud infrastructure across multiple providers.
  • Develop and maintain CI/CD pipelines for reliable deployments.
  • Apply IaC using Terraform and Helm.
  • Create automation tooling and workflows (Python/Go/Bash).
  • Drive monitoring, logging, tracing, and alerting improvements.
  • Troubleshoot incidents and participate in on-call rotations.
  • Support distributed data platforms (Kafka, Elasticsearch, Spark, Redis, MongoDB).
  • Promote reliability, scalability, and operational efficiency through SRE practices.
  • Collaborate with cross-time-zone teams and support GitOps workflows (ArgoCD, GitHub Actions).
  • Contribute to postmortems and reliability improvements.

Skills

Kubernetes
Docker
CI/CD
Terraform
Helm
Linux
Python
Go
Bash
Observability
On-call
Incident management
Kafka/Elasticsearch/Spark/Redis/Mongo
AI tooling awareness
Communication

Tools

ArgoCD
GitHub Actions
Terraform
Helm

Job description

Join a fast-growing global leader in cybersecurity, trusted by some of the biggest names in the industry. In addition to some of the world’s largest enterprises and government agencies, more than 30% of the world’s top MSSPs rely on our platform. We’re at the forefront of protecting organizations against sophisticated cyber threats using cutting-edge AI and automation technologies. Our culture is built on diversity, openness, and collaboration, fostering creativity and innovation that drives real impact in the market..

We are seeking a highly skilled Senior DevOps / Site Reliability Engineer (SRE) to join our globally distributed engineering organization. This is a hands‑on senior-level role focused on building, operating, and scaling reliable cloud-native infrastructure and distributed data platforms.

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.

The engineer will work closely with platform, development, and operations teams to drive automation, operational excellence, and reliability best practices for mission-critical systems.

Key Responsibilities
  • 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.
Requirements
  • 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
Benefits

We pride ourselves in recognizing our employees. Here are some examples of our benefits program:

  • Pre‑IPO Stock Options
  • Medical, Dental & Vision care
  • 401(k)
  • Employee Assistance Program
  • Employee Discount Program
  • Life Insurance
  • Paid time off
  • Referral Program
  • Rewards and Recognition Program

The base compensation range for this role is USD 165,000-215,000 per year. Total compensation includes bonus opportunity and equity, and will vary based on candidate location.

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