- Company: Get A Job.ai
- Location: Mexico
- Salary: Pay not listed
- Work type: Remote
Website Get A Job.ai
Represented by Get A Job.ai
About This Opportunity
Our talent team is representing a confidential cloud services organization that partners with major cloud platforms to deliver complex technical solutions. We're seeking a Senior Site Reliability Engineer to join their growing remote team in Mexico. This role offers the chance to work on production services at scale while collaborating with cross-functional teams.
Responsibilities
- Design, build, maintain, and scale production services and server infrastructure across multiple data centers for cloud-based platforms
- Enhance software architecture to improve scalability, service reliability, capacity, and performance
- Write automation code for provisioning and operating infrastructure at scale as a software engineer focused on operations
- Collaborate with development teams to ensure applications integrate seamlessly within infrastructure with scalability and reliability built in from the start
- Partner with QA on building CI/CD pipelines and automation for application delivery and deployment
- Troubleshoot production incidents, formulate theories, test hypotheses, and identify root causes
- Write postmortem reviews and remediation recommendations
- Identify negative trends before they escalate; respond to automated alerts and troubleshoot system errors to restore normal operations
- Author and maintain high-quality documentation of specifications, systems, and procedures
What We're Looking For
- Bachelor's degree (or equivalent) in computer science or related discipline
- Knowledge of Infrastructure as Code technologies such as Terraform, Ansible, Puppet, or Chef
- Experience with cluster creation and management through Kubernetes
- Knowledge of Microsoft Azure, AWS, and Google Cloud services including virtual machines and network configuration
- Understanding of design patterns including IaaS, PaaS, and SaaS
- Knowledge of CI/CD pipelines and practices
- Scripting knowledge with PowerShell
- Strong understanding of IP addressing and subnet masking
- Ability to program using one or more high-level languages such as Python, Java, C/C++, Ruby, or JavaScript
- Experience with distributed storage technologies such as NFS, HDFS, Ceph, and Amazon S3
- Familiarity with dynamic resource management frameworks like Apache Mesos, Kubernetes, or Yarn
- Proactive approach to identifying problems, performance bottlenecks, and areas for improvement
How We Work With You
Candidates apply through Get A Job.ai, where our recruiting team will review your qualifications and conduct an initial screening. If there's a strong match, we'll submit your profile to our client for consideration. Please do not contact the client directly—all communication will flow through our team to ensure a smooth process.
Pay
Compensation details will be discussed during the screening process based on experience and qualifications.
Equal Employment Opportunity: Get A Job.ai is committed to fair and equitable recruiting practices. We evaluate all candidates based on qualifications and merit.
Apply with Get A Job.ai
A recruiter will review your profile and submit you to the client. Do not contact the client directly.
Apply through Get A Job.ai. A recruiter will review your profile and submit you. Do not contact the client directly.
Apply through Get A Job.ai. A recruiter will review your profile and submit you.
Local insights for this role are preparing — this section updates automatically in a few seconds (or refresh).
Listing facts
- Role Sr. Site Reliability Engineer (Remote, Mexico)
- Employer Get A Job.ai
- Location Mexico
- Type Full Time
- Pay (from listing) Pay not listed
- Posted September 7, 2026
- Apply by October 7, 2026
- Country Mexico
- Overview Full job description on this page (411 words)
Facts above come from this job record on Get A Job.AI — not copied from third-party review sites.
Typical work in Senior Site Reliability Engineer
Independent occupational context from O*NET (U.S. public-domain labor data). This is about the occupation, not a rewrite of this employer's posting.
- Study product characteristics or customer requirements to determine validation objectives and standards.
- Analyze validation test data to determine whether systems or processes have met validation criteria or to identify root causes of production problems.
- Develop validation master plans, process flow diagrams, test cases, or standard operating procedures.
- Prepare detailed reports or design statements, based on results of validation and qualification tests or reviews of procedures and protocols.
- Maintain validation test equipment.
- Conduct validation or qualification tests of new or existing processes, equipment, or software in accordance with internal protocols or external standards.
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