Site Reliability Engineer (Remote - Texas)

This position is posted by Jobgether on behalf of Imubit. We are currently looking for a Site Reliability Engineer in Texas (USA).

This role offers an exciting opportunity to design, maintain, and optimize cloud infrastructure that supports high-stakes industrial AI applications. You will work closely with software developers, DevOps engineers, and other stakeholders to ensure systems remain reliable, scalable, and secure. The position combines hands-on infrastructure work with automation, monitoring, and incident response, providing a chance to solve complex problems in distributed systems. You will directly influence the performance and efficiency of cloud services, contribute to continuous improvement initiatives, and implement best practices for production-grade systems. This is an ideal role for someone passionate about cloud technologies, automation, and proactive system management.

Accountabilities

• Design, deploy, and maintain cloud infrastructure ensuring high uptime, scalability, and security.
• Optimize deployment processes and manage cross-cloud network infrastructure, including subnets, routing tables, VPNs, transit gateways, and firewall rules.
• Participate in incident management and on-call rotation, quickly identifying and resolving issues to minimize downtime.
• Automate repetitive tasks and improve system efficiency through Infrastructure-as-Code (IaC) and other automation tools.
• Monitor and analyze system performance, applying insights to enhance reliability and scalability.
• Collaborate with software developers and DevOps teams to implement robust solutions and continuous improvements.
• Stay current with industry trends, best practices, and emerging technologies to evolve system infrastructure.

• 4+ years maintaining production-level cloud infrastructure, including public cloud platforms such as AWS or GCP.
• Bachelor’s degree in Computer Science or equivalent experience preferred.
• Proficiency in a programming language such as Python or Go.
• Experience deploying and supporting Kubernetes services and using GitOps tools like ArgoCD.
• Familiarity with software development principles and version control systems (e.g., Git).
• Experience with monitoring tools such as New Relic, Splunk, Grafana, or Prometheus.
• Experience managing production databases, including managed services like PostgreSQL/AWS RDS.
• Knowledge of Infrastructure-as-Code tools such as Terraform or Ansible.
• Experience with secrets management tools such as HashiCorp Vault or AWS Secrets Manager.
• Strong analytical, debugging, and problem-solving skills, with the ability to automate routine tasks and optimize systems.
• Excellent communication skills, ownership mindset, and proactive approach to system reliability.

• Competitive salary range with potential for performance-based bonus.
• Comprehensive health, dental, and vision insurance plans.
• Flexible work environment with opportunities for remote work.
• 401(k) plan with company match.
• Paid time off and holidays.
• Opportunities for professional development and continued learning.
• Exposure to cutting-edge AI-driven industrial solutions and high-impact projects.

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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