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We are seeking an experienced Devops Engineer to join our growing team and play a pivotal role in designing and building our platform and infrastructure as we continue to scale our product and user base. As a part of our team, you will be working in a dynamic, fast-paced environment to ensure the reliability, scalability, and performance of our systems, while focusing on service architecture and deployment, query optimization, distributed systems, data and machine learning infrastructure, and security and authentication. Most importantly, you are excited to be part of a mission-oriented, fast-paced, high-growth startup that can create a lasting impact.
Job Responsibility:
Partner with product teams to architect, design, and build the foundational infrastructure for our products
Exhibit agility in technology decision-making and adaptability in work methodologies, given our dynamic early-stage startup environment
Capable of building infrastructure components from scratch, matching the rapid velocity demands of an early-stage startup
Design, develop, and deploy highly available and scalable Multi-tenant SaaS solutions on any one of the public cloud networks like AWS, Azure and GCP
Leverage technologies such as Kubernetes, Helm, Terraform, and Istio to achieve infrastructure resilience
Drive the automation of infrastructure tasks, from provisioning to configuration management and deployment, utilizing tools like Terraform, Ansible, and Kubernetes
Collaborate closely with the software development team to refine CI/CD pipelines, e.g., using GitHub Actions and Cloud Build tools, enhance service interfaces, and improve the overall developer experience
Do Scripting in Shell, Python
Requirements:
Bachelor's or Master's degree in Computer Science or related field
4+ years of experience in Infrastructure engineering, or a similar role, preferably using Azure
Excellent problem-solving skills and the ability to work under pressure in a fast-paced environment
Ability to work independently and as part of a team
Experience working with global teams
Experience with air-gapped cloud environments or private clouds
Nice to have:
ML/OPs experience
Architect and implement advanced observability solutions using tools like Prometheus and Grafana
Ensure real-time alerting and error tracking with Sentry and Pagerduty to maintain system health and performance
Proactively and automatically identify and remediate infrastructure vulnerabilities, ensuring the highest level of security and compliance standards
Deploy comprehensive testing frameworks, including tools like Selenium for end-to-end testing
Ensure robust integration and system testing to maintain software quality
Engineer sophisticated network designs that facilitate a multi-cloud data-plane through private links, all while centralizing the control plane within cloud provider service
Performance Analysis: Regularly monitor system health, analyze performance metrics, and recommend enhancements
Experience with query optimization, data normalization, and related performance improvement techniques
Experience with event-driven data and machine learning infrastructure, including streaming pipelines, database systems, model training