Systems Reliability Engineer

We are seeking a skilled and detail-oriented Systems Reliability Engineer to ensure the availability, performance, scalability, and reliability of our organization's IT systems and infrastructure. The successful candidate will work closely with software engineering, IT operations, cloud infrastructure, and security teams to prevent system failures, automate operational processes, and improve overall service reliability.

The ideal candidate will have strong experience in systems administration, cloud infrastructure, monitoring, incident management, and automation. This role is suited to a professional who can identify potential system issues before they affect users and implement effective solutions to maintain stable, secure, and efficient operations.

Key Responsibilities

• Design, implement, and maintain reliable, scalable, and highly available systems and infrastructure.
• Monitor system health, availability, resource utilization, and application performance using observability tools.
• Identify, troubleshoot, and resolve complex system failures, performance bottlenecks, and infrastructure issues.
• Conduct root cause analysis and implement preventive measures to minimize recurring incidents.
• Automate routine system administration and operational tasks using Python, Bash, PowerShell, or similar scripting languages.
• Manage and optimize Linux and Windows server environments.
• Support cloud infrastructure across platforms such as AWS, Microsoft Azure, and Google Cloud Platform.
• Implement system redundancy, backup, recovery, and disaster recovery strategies.
• Develop and maintain monitoring dashboards, alerting systems, and incident response procedures.
• Establish and track service-level indicators (SLIs), service-level objectives (SLOs), and service-level agreements (SLAs).
• Collaborate with development teams to improve system performance, deployment reliability, and operational readiness.
• Manage infrastructure configuration, patching, upgrades, and capacity planning.
• Support containerized environments and orchestration platforms such as Docker and Kubernetes.
• Maintain technical documentation, system architecture diagrams, and standard operating procedures.
• Participate in on-call rotations and incident response activities when required.

Required Qualifications

• Bachelor's degree in Computer Science, Information Technology, Systems Engineering, or a related field, or equivalent practical experience.
• Three or more years of experience in systems engineering, systems administration, site reliability engineering, or infrastructure operations.
• Strong knowledge of Linux and/or Windows server administration.
• Experience with cloud platforms such as AWS, Azure, or Google Cloud.
• Proficiency in scripting and automation using Python, Bash, PowerShell, or similar tools.
• Experience with monitoring and observability tools such as Prometheus, Grafana, Datadog, or New Relic.
• Understanding of networking fundamentals, storage systems, databases, and distributed systems.
• Familiarity with CI/CD pipelines, version control, and infrastructure automation.
• Experience with incident management, troubleshooting, and root cause analysis.
• Strong analytical, communication, documentation, and problem-solving skills.

Preferred Qualifications

• Experience with site reliability engineering (SRE) principles and reliability-focused engineering practices.
• Knowledge of Infrastructure as Code tools such as Terraform, Ansible, or CloudFormation.
• Experience with Docker, Kubernetes, and containerized workloads.
• Relevant certifications such as AWS Certified Solutions Architect, Microsoft Azure Administrator, Google Cloud certifications, or Red Hat certifications.
• Familiarity with security best practices, access management, vulnerability remediation, and compliance requirements.
• Experience managing production systems in enterprise, cloud-native, or high-availability environments.

Compensation and Benefits

The anticipated salary range for this position is $110,000-$160,000 per year for a full-time position in the United States. Candidates with advanced expertise in cloud infrastructure, distributed systems, automation, Kubernetes, and large-scale production reliability may qualify for compensation toward the upper end of the range.

Actual compensation will depend on experience, technical qualifications, geographic location, job complexity, and the employer's compensation structure.

Depending on the employer, the benefits package may include:

• Medical, dental, and vision insurance.
• Paid vacation, holidays, and sick leave.
• Retirement savings plans with employer matching, where available.
• Professional development and certification reimbursement.
• Remote or hybrid work flexibility, where applicable.
• Performance-based bonuses or other incentives, where offered.

Key Performance Indicators (KPIs)

Performance may be measured using the following indicators:

• System uptime and service availability.
• Mean time to detect (MTTD) and mean time to recover (MTTR).
• Reduction in recurring incidents and unplanned downtime.
• System response times and resource utilization.
• Effectiveness of automation and operational improvements.
• Compliance with backup, recovery, security, and maintenance requirements.
• Achievement of established SLOs and reliability targets.

Ideal Candidate Profile

The ideal candidate is a proactive and technically skilled professional who understands how to maintain dependable systems in complex environments. They should be comfortable troubleshooting critical issues, automating repetitive tasks, analyzing system performance, and collaborating with cross-functional teams to continuously improve reliability and operational efficiency.

Equal Opportunity Statement

The employer is committed to equal employment opportunities for all qualified applicants. Hiring decisions will be based on relevant skills, experience, qualifications, and business requirements.