Jobgether is seeking a Senior Staff Site Reliability Engineer to ensure the reliability, scalability, and performance of cloud-based enterprise software. This role combines hands-on engineering with leadership in best practices for deployment automation, observability, and cost optimization. The ideal candidate will have strong experience in scalable, distributed systems architecture and cloud platforms.
Key Highlights
Key Responsibilities
Technical Skills Required
Benefits & Perks
Nice to Have
Job Description
This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Senior Staff Site Reliability Engineer in the United States.
This role is pivotal in ensuring the reliability, scalability, and performance of cloud-based enterprise software. As a Senior Staff Site Reliability Engineer, you will design, deploy, and maintain robust infrastructure for mission-critical services, collaborating closely with development teams to optimize CI/CD pipelines and automate operational workflows. You will provide guidance on distributed systems, cloud architecture, and containerized environments, influencing both technical strategy and day-to-day operations. The role combines hands-on engineering with leadership in best practices for deployment automation, observability, and cost optimization. This position offers the opportunity to work in a dynamic, fully remote environment while shaping the future of high-availability, secure cloud services. You will also mentor peers, participate in technology evaluations, and ensure resilient, customer-focused infrastructure.
Accountabilities
- Design, deploy, and maintain scalable, distributed cloud infrastructure and services
- Develop and optimize CI/CD pipelines to ensure efficient and reliable software delivery
- Implement automated service deployments, including networking, security, monitoring, and configuration management
- Collaborate with cross-functional teams to define and enforce best practices for cloud reliability, performance, and cost optimization
- Provide mentorship, code review, and guidance to other engineers to elevate team expertise
- Participate in on-call rotation to maintain operational excellence for production systems
- Evaluate emerging technologies and recommend solutions to enhance system reliability and security
- Strong experience in scalable, distributed systems architecture and cloud platforms
- Proficiency in programming with Go (Golang) and containerization technologies such as Docker
- Hands-on experience with Kubernetes and orchestration technologies
- Expertise in CI/CD processes, deployment automation, and configuration management
- Solid understanding of Git workflows in a collaborative team environment
- Bachelor’s degree in Computer Science or equivalent experience
- Strong analytical, problem-solving, and communication skills
- Experience with networking fundamentals, identity and access management, and monitoring/observability tools is a plus
- Ability to work independently and collaboratively in a fast-paced, fully remote environment
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- Competitive salary range of $170,000–$230,000
- Flexible, fully remote U.S. work environment
- Generous paid time off and holiday schedule
- Parental leave and progressive healthcare options
- Retirement savings programs
- Education reimbursement opportunities
- Team bonding events and global volunteering initiatives
- Inclusive, collaborative culture emphasizing growth and development
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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!
Why Apply Through Jobgether?
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.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. 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.
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