DevOps Engineer

Job not on LinkedIn

November 9

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Logo of Prescient Security

Prescient Security

Cybersecurity • Compliance • B2B

<Prescient Security> is a global cybersecurity and compliance firm that provides auditing, penetration testing, and assurance services to enterprises. The company helps organizations achieve and maintain certifications and regulatory compliance (SOC, ISO, HITRUST, FedRAMP, PCI, GDPR, CMMC, NIST and others) and offers security assessments across cloud, web, mobile, IoT, and network environments. With senior auditors across the U. S. , EMEA and APAC, Prescient Security focuses on combining practical offensive security expertise (pen tests, red/purple teaming, vulnerability scanning) with compliance-driven audits to simplify security and turn compliance into a strategic advantage for business customers.

51 - 200 employees

Founded 2018

🔒 Cybersecurity

📋 Compliance

🤝 B2B

📋 Description

• Design, implement, and maintain CI/CD pipelines (GitHub Actions, Jenkins, GitLab CI, etc.). • Manage and optimize cloud infrastructure (AWS / GCP / Azure). • Build and manage containerized environments using Docker and Kubernetes. • Automate infrastructure provisioning with Terraform or similar tools. • Implement and maintain monitoring, logging, and alerting systems (Grafana, Prometheus, ELK, Datadog). • Support high availability, scalability, and security for production environments. • Collaborate with developers to improve build times, deployments, and environment stability. • Participate in system troubleshooting and root-cause analysis.

🎯 Requirements

• 2–6 years of experience in DevOps, Cloud Infrastructure, or Site Reliability Engineering. • Strong understanding of Linux, Docker, and Kubernetes. • Hands-on experience with CI/CD tools and version control (Git). • Proficiency with AWS, Terraform, and infrastructure as code principles. • Good knowledge of networking, security best practices, and system performance. • Experience with monitoring and log management tools. • Strong scripting skills in Python, Bash, or Shell. • Experience supporting Node.js, React, or MERN applications in production. • Familiarity with serverless frameworks, CloudFormation, or Ansible. • Exposure to AI/ML infrastructure (GPU instances, model deployment pipelines). • Understanding of cost optimization and cloud budgeting. • Bachelor’s degree in computer science preferred.

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