Site Reliability Engineer (Remote - US) - job 2 of 3

This position is posted by Jobgether on behalf of McAfee. We are currently looking for a Site Reliability Engineer in the United States.

In this role, you will be instrumental in maintaining high service levels including availability, latency, and reliability to meet customer needs while reducing friction in managing changes. You will collaborate closely with DevOps, Engineering, and support teams to ensure services are scalable, secure, and performant. This hands-on position involves monitoring critical production environments, troubleshooting incidents, automating processes, and continuously improving service reliability. Working in a hybrid environment, you will support mission-critical applications with a focus on observability, incident response, and seamless integration with IT service operations.

Accountabilities:

·         Proactively monitor production environments to detect and respond to issues quickly.

·         Troubleshoot, debug, and escalate problems to ensure maximum uptime and customer satisfaction.

·         Manage incident lifecycle, including detection, triage, resolution, and retrospectives.

·         Collaborate with engineering and support teams to maintain service reliability and meet SLAs.

·         Automate processes to reduce Mean Time to Detect (MTTD) and Mean Time to Restore (MTTR).

·         Maintain security event responsiveness and compliance with operational procedures.

·         Participate early in the software development lifecycle to embed reliability best practices.

·         Document processes and update operational knowledge bases regularly.

·         Communicate effectively with stakeholders and leadership regarding high-priority incidents and service status.

·         1 to 3+ years of experience in software development, SRE, DevOps, or systems engineering roles.

·         Proven track record managing large-scale, highly available production systems (>99.95% SLA), preferably in cloud environments.

·         Strong troubleshooting, debugging, and root cause analysis skills.

·         Experience with monitoring, logging, and application performance management tools such as Grafana, CloudWatch, or similar.

·         Familiarity with CI/CD tools like Git, Jenkins, or Harness.

·         Hands-on experience with container technologies, including Kubernetes and Docker.

·         Comfortable working with both Windows and Linux operating systems.

·         Solid understanding of AWS cloud services, including serverless and containerized workloads.

·         Excellent communication skills and ability to collaborate across teams and time zones.

·         Preferred certifications: ITIL, HDI, AWS or other cloud-related credentials.

·         Willingness to work some non-standard hours to support global teams.

·         Competitive compensation and bonus program.

·         Comprehensive medical, dental, and vision coverage.

·         Paid time off and paid parental leave.

·         Pension and retirement plans.

·         Flexible work hours and support for community involvement.

·         Inclusive work environment that embraces diversity and encourages authenticity.

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 3 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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