Senior Infrastructure Engineer
5 days ago
What You’ll Be DoingArchitect and manage large-scale infrastructure to support massive data processing, enabling the analysis of hundreds of terabytes of audio data.Deploy, monitor, and maintain 1,000+ edge devices in diverse retail environments, ensuring uptime, data integrity, and performance across all deployments.Develop scalable, reliable, and secure infrastructure solutions for real-time data capture and processing across multiple geographic regions.Optimize data pipelines and storage solutions to handle massive datasets effectively and efficiently, working closely with AI/ML teams to ensure infrastructure supports their data needs.Implement and maintain automated deployment, monitoring, and alerting tools to ensure high availability and robust system performance.Continuously improve system resilience, security, and scalability, identifying and resolving infrastructure bottlenecks.Collaborate with the engineering team to design and implement infrastructure best practices and documentation.
Requirements:4+ years of experience in infrastructure engineering, cloud management, or DevOps, with a focus on large-scale distributed systems.Proven experience with cloud providers (AWS, Google Cloud, or Azure) and containerization (Docker, Kubernetes).Expertise in deploying and managing high-performance infrastructure for data processing and real-time analytics.Strong understanding of network security, monitoring, and logging.Hands-on experience with Infrastructure as Code (IaC) tools such as Terraform or CloudFormation.Experience working with edge devices, IoT infrastructure, or similar environments where devices are distributed and data is centrally aggregated.Knowledge of data pipeline optimization, storage solutions, and handling large-scale audio or video datasets.Proficiency in scripting languages like Python, Bash, or similar.Problem-solving mindset with the ability to work independently and as part of a collaborative, cross-functional team.
Bonus Points:Experience with monitoring and analytics tools like Prometheus, Grafana, or Splunk.Familiarity with CI/CD pipelines, Jenkins, GitLab CI, or other CI/CD tools.Understanding of MLOps and data engineering pipelines.Previous software engineering or MLOps experiencePrevious exposure to edge/IoT device deployments
What We Offer:Competitive salary and generous ESOP options.Fully remote role with flexible working hours, enabling work from anywhere (with location-specific requirements).Opportunity to shape the future of retail with an innovative and mission-driven team.A supportive and inclusive work environment that celebrates diversity and values each team member’s unique perspective and background.
Join Storefox.ai, and be part of a team that’s redefining retail through groundbreaking technology
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