Senior DevOps Engineer/Site Reliability Engineer-East Coast

Stellar Cyber; United States; Remote; USD 165,000 - 215,000; Full time

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

Stellar Cyber is seeking a Senior DevOps/SRE to design, operate, and scale cloud-native infrastructure across multiple environments. You’ll own automation, incident response, and reliability for mission-critical data platforms, collaborating with distributed teams worldwide.

Candidates should have 5+ years in DevOps/SRE, strong Kubernetes/Docker skills, IaC with Terraform/Helm, and experience with CI/CD, monitoring, and data-tech stacks like Kafka and Elasticsearch. East Coast residents welcome.

Qualifications

• 5+ years in DevOps, SRE, or platform engineering.
• Kubernetes and Docker expertise with container orchestration.
• Hands-on experience managing production cloud environments.
• IaC experience with Terraform and Helm.
• CI/CD tooling and deployment automation experience.
• Troubleshooting Linux, networking, and distributed systems.
• Observability with Prometheus, Grafana, Loki, Alertmanager, Elastic Stack.
• Programming/scripting in Python, Bash, or Go.
• High-availability production systems and on-call experience.
• Knowledge of incident management and reliability practices.
• Familiarity with Kafka, Spark, Elasticsearch, Redis, MongoDB.
• Understanding AI-driven operational tooling and automated remediation.
• Excellent communication and collaboration skills.
• Resides on the East Coast.

Responsibilities

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

Skills

Kubernetes

Docker

CI/CD

Python

Bash

Go

Linux

Networking

Incident management

Observability

Distributed systems

On-call experience

AI tooling

Tools

Terraform

Helm

Prometheus

Grafana

Loki

Alertmanager

Elastic Stack

Kafka

Spark

Elasticsearch

Redis

MongoDB

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.

  • 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

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.