Staff Cloud Engineer

Job Description

• This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Staff Cloud Engineer in United States. This role is a senior technical position focused on designing, building, and scaling cloud infrastructure across multi-cloud environments. You will contribute to mission-critical systems that power advanced data, analytics, and identity intelligence capabilities used in high-stakes operational contexts. Working within a collaborative team of cloud, platform, and software engineers, you will help define cloud architecture decisions and ensure systems are reliable, secure, and highly scalable. The position blends deep hands-on engineering with strategic infrastructure thinking, requiring expertise across DevOps, platform engineering, and infrastructure-as-code. You will also play a key role in improving observability, automation, and cloud performance. This is a high-impact opportunity for an engineer who thrives in complex environments and enjoys solving large-scale infrastructure challenges.
• Accountabilities: Design, build, and maintain scalable cloud infrastructure across AWS and GCP environments. Collaborate with platform, network, and software engineering teams to support mission-critical systems. Define and drive cloud architecture decisions that improve reliability, scalability, and operational efficiency. Implement and manage Infrastructure-as-Code solutions using tools such as Terraform. Support and enhance observability and monitoring systems to ensure performance, reliability, and system health. Plan and execute cloud-to-cloud migrations, including assessment, re-architecture, and deployment strategies. Troubleshoot and resolve complex infrastructure issues across distributed cloud environments. Contribute to automation initiatives and continuous improvement of cloud engineering practices. Requirements: Bachelor’s degree in Computer Science or a related field. 4+ years of hands-on experience managing cloud infrastructure in AWS and GCP environments. Strong experience with Infrastructure-as-Code tools, particularly Terraform. Familiarity with monitoring and observability platforms such as CloudWatch, Cloud Monitoring, or Prometheus. Proven experience supporting or executing cloud migration projects across major cloud providers. Strong troubleshooting skills with the ability to diagnose complex distributed system issues. Solid understanding of cloud architecture, networking, and platform engineering principles. Ability to collaborate effectively within cross-functional engineering teams. Strong problem-solving mindset with attention to scalability, reliability, and performance. Benefits: Competitive salary range of $120,000 – $140,000 USD. Comprehensive health coverage including medical, dental, vision, life, and disability insurance (covering employees and families). 401(k) retirement plans with employer match (Traditional and Roth options). Unlimited flexible paid time off and 12 paid federal holidays. Tuition reimbursement program to support continuous learning and career development. Remote work flexibility with strong work-life balance culture. Inclusive work environment that values diverse backgrounds and perspectives. Employee well-being programs and professional growth opportunities.
• 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! 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. #LI-CL1
• 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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