DevOps Engineer- US

DevOps Engineer- US

US

Security & IT – IT /

Full-time /

Remote

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This position is posted by Jobgether on behalf of a partner company. We are currently looking for a DevOps Engineer – US in the United States.

This role offers the opportunity to design, implement, and maintain high-scale, production-grade SaaS environments across multiple cloud providers. You will lead infrastructure architecture, automate deployment pipelines, and enhance system reliability while working in a dynamic, agile environment. The position provides the chance to collaborate closely with development teams, influence best practices for observability and security, and contribute to a high-performing DevOps culture. You will work on cutting-edge technologies and help shape the operational backbone of a modern enterprise platform, ensuring scalability, efficiency, and compliance.

• Accountabilities:

• Design and maintain multi-cloud (AWS, GCP, Azure) production architectures meeting strict SLAs.

• Implement and manage CI/CD pipelines supporting multiple development teams.

• Automate infrastructure provisioning using tools such as Terraform and GitOps methodologies.

• Establish and maintain observability, logging, and alerting best practices using Prometheus, CloudWatch, Splunk, Datadog, and similar tools.

• Drive continuous improvement in system reliability, scalability, and operational cost efficiency.

• Mentor and support engineers, fostering a strong DevOps culture and establishing standard practices across the organization.

• Participate in product integration with global clients, ensuring robust and secure deployments.

• Requirements:

• 4+ years of hands-on DevOps experience in high-scale SaaS environments.

• Proven expertise with major cloud platforms: AWS, GCP, Azure.

• Strong experience with Kubernetes and Docker.

• Proficiency in CI/CD tools such as GitHub Actions, Jenkins, GitLab, and ArgoCD.

• Experience with infrastructure-as-code tools, particularly Terraform.

• Familiarity with monitoring stacks like Datadog, Splunk, Prometheus/Grafana, or Coralogix.

• Solid Linux administration skills.

• Proactive, self-motivated, and able to plan and execute tasks independently while maintaining strong team collaboration.

• Strong problem-solving skills and passion for innovation.

• Valued Qualifications:

• Knowledge of security infrastructure, secured coding practices, or relevant certifications.

• Experience in B2B cybersecurity, cloud security, identity & access management, or encryption key management.

• Familiarity with CloudGov or FedRAMP environments.

• Networking knowledge, including TCP/IP, HTTP, and network operations.

• Experience leveraging AI-driven automation for DevOps workflows.

• Benefits:

• Base salary: $140,000–$170,000 USD (depending on experience).

• Company stock options.

• Comprehensive benefits package including health, dental, and vision coverage.

• Flexible remote work environment (East Coast preferred).

• Opportunities for professional growth and mentorship in a high-performing team.

• Exposure to cutting-edge cloud and security technologies.

Jobgether is a Talent Matching Platform that partners with companies worldwide to efficiently connect top talent with the right opportunities through AI-driven job matching.

When you apply, your profile goes through our AI-powered screening process designed to identify top talent efficiently and fairly.

🔍 Our AI evaluates your CV and LinkedIn profile thoroughly, analyzing your skills, experience, and achievements.

📊 It compares your profile to the job’s core requirements and past success factors to determine your match score.

🎯 Based on this analysis, we automatically shortlist the three candidates with the highest match to the role.

🧠 When necessary, our human team may perform an additional manual review to ensure no strong profile is missed.

The process is transparent, skills-based, and free of bias — focusing solely on your fit for the role. Once the shortlist is completed, we share it directly with the company that owns the job opening. The final decision and next steps (such as interviews or additional assessments) are then made by their internal hiring team.

Thank you for your interest!

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We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

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