DevOps Engineering Lead

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).

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

Collaborate with product teams and the India-based DevOps team to plan, design and develop the core infrastructure for our products.

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.

Manage Ema product deployments within Ema's SaaS environments, customer cloud environments, and secured air-gapped environments.

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.

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.

Collaborate with engineering leads to establish and execute developer productivity objectives, metrics, and tooling.

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

Provide mentorship to junior engineers and serve as a technical resource for DevOps-related matters.

Nice to Have

ML / OPs experience

Experience with Postgres query optimization and related performance improvement techniques.

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

Experience with testing frameworks

Qualifications

Bachelor's or Master's degree in Computer Science or related field.

7+ years of experience in Infrastructure engineering, or a similar role,

3+ years working as a Devops lead

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

For California Based Candidates

The standard base salary for this position is

Compensation offered will be determined by factors such as location, level, job-related knowledge, skills, and experience. Certain roles may be eligible for variable compensation, equity, and benefits.

Ema Unlimited is an equal opportunity employer and is committed to providing equal employment opportunities to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability, sexual orientation, gender identity, or genetics.

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