Senior Infrastructure Engineer

Who we are

Ema is building the next generation AI technology to empower every employee in the enterprise to be their most creative and productive. Our proprietary tech allows enterprises to delegate most repetitive tasks to Ema, the AI employee. We are founded by ex-Google, Coinbase, Okta executives and serial entrepreneurs. We’ve raised capital from notable investors such as Accel Partners, Naspers, Section32 and a host of prominent Silicon Valley Angels including Sheryl Sandberg (Facebook/Google), Divesh Makan (Iconiq Capital), Jerry Yang (Yahoo), Dustin Moskovitz (Facebook/Asana), David Baszucki (Roblox CEO) and Gokul Rajaram (Doordash, Square, Google).

Our team is a powerhouse of talent, comprising engineers from leading tech companies like Google, Microsoft Research, Facebook, Square/Block, and Coinbase. All our team members hail from top-tier educational institutions such as Stanford, MIT, UC Berkeley, CMU and Indian Institute of Technology.  We’re well funded by the top investors and angels in the world. Ema is based in Silicon Valley and Bangalore, India and is currently in stealth mode

Who you are

We are seeking an experienced Infrastructure 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.

You will:

1. 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.
2. Proactively and automatically identify and remediate infrastructure vulnerabilities, ensuring the highest level of security and compliance standards.
3. Deploy comprehensive testing frameworks, including tools like Selenium for end-to-end testing. Ensure robust integration and system testing to maintain software quality.
4. 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.
5. Design, develop, and deploy highly available and scalable Multi-tenant SaaS solutions on GCP. Leverage technologies such as Kubernetes, Anthos, Helm, Terraform, and Istio to achieve infrastructure resilience.
6. Engineer sophisticated network designs that facilitate a multi-cloud data-plane through private links, all while centralizing the control plane within GCP.
7. Partner with product teams to architect, design, and build the foundational infrastructure for our machine learning capabilities.
8. Drive the automation of infrastructure tasks, from provisioning to configuration management and deployment, utilizing tools like Terraform, Ansible, and Kubernetes.
9. Collaborate closely with the software development team to refine CI/CD pipelines, e.g., using GitHub Actions and GCP Build, enhance service interfaces, and improve the overall developer experience.
10. Performance Analysis: Regularly monitor system health, analyze performance metrics, and recommend enhancements. This includes optimizing database queries and ensuring peak database performance.

Ideally, you'd have:

• Bachelor's or Master's degree in Computer Science or related field.
• 8+ years of experience in Infrastructure engineering, or a similar role, preferably using Google Cloud Platform (GCP)
• Strong knowledge of multi-tenant SaaS architectures on cloud and on-prem.
• Experience with event-driven data and machine learning infrastructure, including streaming pipelines, database systems, model training, and inference using GPUs.
• Strong knowledge of implementing real-time user authentication and authorization proxies.
• Experience with query optimization, data normalization, and related performance improvement techniques.
• Experienced in integration and optimization of gRPC protocols to enhance system communication and performance.
• 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