Senior Infrastructure 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 and Bangalore, 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 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. Partner with product, infra, and engineering teams to architect and build Ema’s next-generation infrastructure platform supporting multi-cloud deployments and on-prem installations. 2. Design and implement scalable, secure, and resilient deployment frameworks for Ema SaaS and enterprise on-prem environments, enabling automated installation, upgrades, and lifecycle management of Ema. 3. Develop and maintain multi-cloud infrastructure pipelines (AWS, Azure, GCP) using Kubernetes, Helm, Terraform, and cloud-native services to ensure seamless and reliable deployments. 4. Build tools and frameworks to automate the provisioning, configuration, monitoring, and upgrade of Ema environments at scale. 5. Design and optimize CI/CD pipelines (GitHub Actions, Cloud Build, etc.) to streamline the release process across environments while improving developer experience. 6. Contribute code and automation scripts (in Python, Go, or Shell) to strengthen infrastructure management and deployment reliability. 7. Ensure observability, scalability, and security across distributed systems by integrating monitoring, logging, and alerting solutions. 8. Collaborate cross-functionally to evolve Ema’s infra architecture, enabling faster deployments, lower operational overhead, and improved platform stability. NICE TO HAVE 1. Experience designing installers and deployment managers for both SaaS and air-gapped on-prem environments. 2. Strong understanding of container orchestration (Kubernetes) and infrastructure as code (Terraform, Helm). 3. Hands-on experience with automation frameworks (Ansible, ArgoCD, Flux, or similar). 4. Knowledge of service mesh and networking for multi-cloud environments (Istio, Envoy, or similar). 5. Familiarity with monitoring and observability stacks (Prometheus, Grafana, Signoz, PagerDuty). 6. Prior experience in ML Ops or data infrastructure is a plus. 7. Exposure to air-gapped deployments, private clouds, or secure enterprise installations. QUALIFICATIONS: - Bachelor’s or Master’s degree in Computer Science, Engineering, or a related technical field. - 8+ years of hands-on experience in Infrastructure, Platform, or DevOps Engineering, with strong exposure to multi-cloud environments - Strong analytical and problem-solving skills, with a focus on scalability, reliability, and performance. - Demonstrated ability to work independently and collaboratively in a fast-paced, high-growth environment. - Experience working with global, cross-functional teams