Senior Site Reliability Engineer

About This Opportunity

We are representing a confidential enterprise software organization seeking a Senior Site Reliability Engineer to join their distributed systems team. This is a remote position offering the opportunity to work on large-scale platform infrastructure that supports critical business operations.

Responsibilities

• Run production environments by monitoring availability and maintaining a holistic view of system health
• Build software and systems to manage platform infrastructure and applications
• Improve reliability, quality, and time-to-market of distributed software solutions
• Measure and optimize system performance, pushing capabilities forward and anticipating scaling needs
• Provide primary operational support and engineering for multiple large distributed applications
• Gather and analyze metrics from operating systems and applications to assist in performance tuning and fault finding
• Partner with development teams to improve services through rigorous testing and release procedures
• Participate in system design consulting, platform management, and capacity planning
• Create sustainable systems and services through automation and infrastructure improvements
• Balance feature development speed and reliability with well-defined service level objectives
• Drive incident response efforts during outages and critical incidents, including resolution and cross-functional communication
• Conduct blameless postmortems to continuously improve system reliability

What We're Looking For

Required Experience and Skills:

• 3-6 years of working experience in site reliability engineering, systems engineering, automation, and reliability
• Proficiency in at least one programming language such as Python, Go, Java, or C#
• Experience with scripting languages including Bash or PowerShell
• Deep understanding of cloud computing platforms, particularly AWS services such as EC2, ECS, Lambda, and DynamoDB
• Experience with infrastructure as code tools such as CloudFormation or Terraform
• Strong knowledge of CI/CD concepts and tools such as Jenkins, GitLab CI/CD, or CircleCI
• Deep experience with containerization technologies including Docker and Kubernetes, plus microservices architecture
• Experience with monitoring and observability tools such as Prometheus, Grafana, ELK stack, or CloudWatch
• Excellent problem-solving skills and ability to troubleshoot complex issues in distributed systems
• Proven experience in incident management and conducting blameless postmortems

Preferred Additional Qualifications:

• Hands-on experience working with large Kubernetes clusters; certification is a plus
• Working experience with Grafana Observability Suite including Loki, Mimir, and Tempo
• Administration or development experience with monitoring and automation tools such as Splunk, Datadog, PagerDuty, or Rundeck
• Familiarity with configuration management tools like Ansible, Puppet, or Chef
• Cloud platform certifications such as AWS Certified DevOps Engineer or Google Cloud Professional DevOps Engineer

Personal Attributes:

• Strong communication skills and ability to collaborate effectively with cross-functional teams
• Team player with ability to work well in a collaborative environment
• Fast learner with ability to self-educate on relevant technologies
• Ability to multitask and prioritize work effectively
• Ability to remain focused and calm under pressure

How We Work With You

Our talent team at Get A Job.ai partners with leading technology organizations to connect exceptional candidates with confidential opportunities. When you apply through our platform, a dedicated recruiter will review your profile and conduct an initial screening. If there's a strong match, we will submit your profile to our client for consideration. Please do not attempt to contact the client directly, as all communications will be coordinated through Get A Job.ai to ensure a smooth and professional process.

Pay

Compensation details will be discussed with qualified candidates during the screening process.

Equal Employment Opportunity: Get A Job.ai is committed to creating an inclusive recruitment process. We welcome applications from candidates of all backgrounds and ensure fair consideration throughout our evaluation process.