Senior Cloud Data Infrastructure Engineer
Accountabilities: The Senior Cloud Data Infrastructure Engineer will design, build, and operate scalable cloud infrastructure while contributing to the evolution of a high-performance data platform. Key responsibilities include:
Build and enhance a cloud-native database platform running on public cloud infrastructure.
Design, develop, and maintain robust, scalable, and highly available distributed systems.
Improve infrastructure capabilities that support database operations, scalability, and performance optimization.
Develop and maintain Kubernetes-based infrastructure components, including internal operators for seamless cloud management.
Enhance metrics pipelines and build systems that generate improved statistics, insights, and operational recommendations.
Collaborate closely with database engineering teams and other infrastructure groups to support evolving platform requirements.
Architect solutions that improve reliability, efficiency, and scalability across cloud environments.
Troubleshoot complex production issues, participate in operational support, and contribute to continuous improvements.
Work with modern data technologies to improve storage, ingestion, transformation, and processing workflows.
Requirements:
The ideal candidate is an experienced software engineer with a strong background in distributed systems, cloud infrastructure, and large-scale data platforms. Required qualifications and skills include:
5+ years of professional software development experience building and operating scalable, fault-tolerant distributed systems.
Strong programming experience with languages such as Go, C++, Java, or similar technologies.
Proven experience designing, developing, and maintaining production-grade cloud infrastructure.
Expertise with public cloud platforms such as AWS, Google Cloud Platform, or Azure, including infrastructure-as-a-service solutions.
Experience working with distributed systems and solving complex scalability challenges.
Familiarity with data storage, ingestion, and transformation technologies such as Spark, Kafka, or equivalent tools.
Strong understanding of cloud-native architectures, infrastructure automation, and reliability practices.
Experience debugging production environments and participating in on-call support processes.
Passion for solving large-scale data problems and improving platform performance.
Excellent communication skills with the ability to collaborate effectively across engineering teams.
Benefits:
Flexible remote work environment with opportunities to collaborate in a globally distributed organization.
Competitive compensation package with equity opportunities.
Employer contributions toward healthcare benefits.
Flexible time-off policies and generous leave programs depending on location.
Home office setup support for remote employees.
Opportunities to participate in global team gatherings and company-wide events.
Opportunity to work on innovative cloud infrastructure supporting real-time analytics and AI workloads.
Collaborative culture where engineers have ownership and influence in shaping technology and processes.
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