Protex AI

2 months ago

Senior DevOps Engineer

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 6 hours agoStatus: Live

Job Summary

Senior DevOps Engineer position responsible for driving infrastructure across cloud and edge environments, building CI/CD pipelines, ensuring observability and reliability, and maintaining environment parity (Dev, Stage, Prod) across globally distributed systems.

Location: Budapest, United States

Workplace: Remote

Employment Type: Full time

Job Function: DevOps, Cloud & Infrastructure

Seniority: Sr. Manager level

Key Responsibilities

•Implement CI/CD pipelines and automation across cloud and edge environments to improve release velocity and reliability.
•Design and maintain scalable observability, monitoring, and incident response systems for globally distributed deployments.
•Drive system reliability by implementing SRE practices, performance tuning, and capacity planning.
•Maintain environment parity across Development, Stage, and Production to ensure consistent deployments.
•Collaborate with engineering teams to build secure, cost-effective infrastructure with proper data governance across regions.

Key Requirements

•5+ years of professional experience in DevOps, Infrastructure, or SRE roles.
•Experience with Kubernetes, Terraform, ECS and Unix-based operating systems.
•Strong monitoring, observability, and reliability principles with a focus on uptime and system health.
•Experience with CI/CD pipelines and automation in cloud and edge environments.
•Ability to deploy infrastructure across regions while maintaining GDPR and other compliance standards.

Experience:5+ yearsDevOpsSREInfrastructureCloud

Education:Bachelor's in Computer Science

Skills:CommunicationProblem-solvingCollaboration

Tech Stack:KubernetesTerraformECSAWSLambdaEC2S3CloudWatchUnixGDPR

Eligibility

Visa:US citizen/visa only

Work Authorization:Authorization required. Sponsorship not provided.

Company Brief

Protex AI

Builds AI-driven cybersecurity tools focused on detecting and preventing malicious use of synthetic media and protecting digital content integrity across enterprises and platforms.

Industry: Cybersecurity

Website

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Protex AI

2 months ago

Senior DevOps Engineer

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 6 hours agoStatus: Live

Job Summary

Location: Budapest, United States

Workplace: Remote

Employment Type: Full time

Job Function: DevOps, Cloud & Infrastructure

Seniority: Sr. Manager level

Key Responsibilities

•Implement CI/CD pipelines and automation across cloud and edge environments to improve release velocity and reliability.
•Design and maintain scalable observability, monitoring, and incident response systems for globally distributed deployments.
•Drive system reliability by implementing SRE practices, performance tuning, and capacity planning.
•Maintain environment parity across Development, Stage, and Production to ensure consistent deployments.
•Collaborate with engineering teams to build secure, cost-effective infrastructure with proper data governance across regions.

Key Requirements

•5+ years of professional experience in DevOps, Infrastructure, or SRE roles.
•Experience with Kubernetes, Terraform, ECS and Unix-based operating systems.
•Strong monitoring, observability, and reliability principles with a focus on uptime and system health.
•Experience with CI/CD pipelines and automation in cloud and edge environments.
•Ability to deploy infrastructure across regions while maintaining GDPR and other compliance standards.

Experience:5+ yearsDevOpsSREInfrastructureCloud

Education:Bachelor's in Computer Science

Skills:CommunicationProblem-solvingCollaboration

Tech Stack:KubernetesTerraformECSAWSLambdaEC2S3CloudWatchUnixGDPR

Eligibility

Visa:US citizen/visa only

Work Authorization:Authorization required. Sponsorship not provided.

Company Brief

Protex AI

Builds AI-driven cybersecurity tools focused on detecting and preventing malicious use of synthetic media and protecting digital content integrity across enterprises and platforms.

Industry: Cybersecurity

Website