Devops Engineer

About Ema

Ema is building the world’s leading Agentic AI platform to transform enterprise productivity. We enable organizations to delegate repetitive tasks to Ema, the Universal AI Employee, delivering 10x gains in workforce efficiency, across functions. Founded by former executives from Google, Coinbase, Flipkart, and Okta, our team includes engineers from premier tech companies and graduates of Stanford, MIT, UC Berkeley, CMU, and IITs.

We are backed by industry leading investors including Accel, Naspers/Prosus, Section32, and angels like Sheryl Sandberg and Dustin Moskovitz. Headquartered in Silicon Valley and with offices in London, Bangalore and Vancouver, Ema is at the frontier of what Agentic AI can do in production — we ship real systems that run real business processes at scale.

Who you are

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.

You will

1. Partner with product teams to architect, design, and build the foundational infrastructure for our products.

2. 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.

3. 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.

4. Drive the automation of infrastructure tasks, from provisioning to configuration management and deployment, utilizing tools like Terraform, Ansible, and Kubernetes.

5. 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.

6. Do Scripting in Shell, Python.

Nice to Have

1. ML/OPs experience

2. 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.

3. Proactively and automatically identify and remediate infrastructure vulnerabilities, ensuring the highest level of security and compliance standards.

4. Deploy comprehensive testing frameworks, including tools like Selenium for end-to-end testing. Ensure robust integration and system testing to maintain software quality.

5. Engineer sophisticated network designs that facilitate a multi-cloud data-plane through private links, all while centralizing the control plane within cloud provider service.

6. Performance Analysis: Regularly monitor system health, analyze performance metrics, and recommend enhancements. This includes optimizing database queries and ensuring peak database performance.

7. Experience with query optimization, data normalization, and related performance improvement techniques.

8. Experience with event-driven data and machine learning infrastructure, including streaming pipelines, database systems, model training

The rest of this description is on the employer’s own page.