Senior Site Reliability Engineer (Cloud Platform) [Remote]

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Senior Site Reliability Engineer (Cloud Platform) based in the United States.

This is an exciting opportunity for an experienced Site Reliability Engineer to play a key role in building and evolving highly available cloud platforms that support mission-critical services at scale. The role combines cloud infrastructure, software engineering, and operational excellence to ensure reliability, scalability, and performance across production environments. You will collaborate closely with engineering teams to embed SRE principles throughout the development lifecycle while driving automation, observability, and continuous improvement initiatives. Working in a fully remote and collaborative environment, you will contribute to innovative global products and help shape resilient cloud architectures used by customers worldwide. This position is ideal for professionals who thrive in fast-paced environments and are passionate about reliability engineering and modern cloud technologies.

Accountabilities:

• Maintain the reliability, performance, and availability of production and pre-production cloud environments.
• Design, implement, and optimize observability solutions using metrics, logging, tracing, and monitoring platforms.
• Respond to production incidents, participate in root cause analysis, and implement preventive improvements to enhance system resilience.
• Collaborate with software engineering teams to improve application reliability and integrate SRE best practices into development workflows.
• Automate operational processes and repetitive tasks to improve efficiency and reduce manual intervention.
• Develop and maintain operational documentation, runbooks, troubleshooting guides, and incident response procedures.
• Participate in on-call rotations while continuously improving incident management and operational excellence practices.
• Promote a culture of reliability, automation, knowledge sharing, and continuous improvement across engineering teams.

Requirements:

• Bachelor's or Master's degree in Computer Science, Engineering, or a related technical field.
• Strong hands-on experience managing Kubernetes and containerized production environments.
• Proven expertise supporting large-scale cloud infrastructures and mission-critical services.
• Solid experience with AWS cloud services and cloud-native architectures.
• Proficiency with observability and monitoring tools such as Prometheus, Grafana, and ELK Stack.
• Strong scripting and automation skills using Python, Bash, Go, or similar languages.
• Experience with Linux system administration and infrastructure automation tools such as Terraform or Ansible.
• Strong understanding of networking concepts, including TCP/IP, DNS, routing, and load balancing.
• Excellent troubleshooting, communication, and collaboration abilities with a proactive, automation-first mindset.
• Nice-to-have experience with SIP/VoIP technologies, relational databases (MySQL/PostgreSQL), and NoSQL solutions such as Redis.

Benefits:

• Long-term full-time B2B collaboration opportunity.
• Fully remote and flexible work environment.
• Professional development support, including technical training and continuous learning opportunities.
• Exposure to innovative cloud technologies and globally impactful projects.
• Collaborative engineering culture focused on mentorship, knowledge sharing, and continuous improvement.
• Modern Apple equipment provided.
• Inclusive and supportive workplace that values diversity and encourages authentic contributions.

How Jobgether works:

We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.

We appreciate your interest and wish you the best!

Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.

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We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.