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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.
Job Responsibility:
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
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
Develop and maintain multi-cloud infrastructure pipelines (AWS, Azure, GCP) using Kubernetes, Helm, Terraform, and cloud-native services to ensure seamless and reliable deployments
Build tools and frameworks to automate the provisioning, configuration, monitoring, and upgrade of Ema environments at scale
Design and optimize CI/CD pipelines (GitHub Actions, Cloud Build, etc.) to streamline the release process across environments while improving developer experience
Contribute code and automation scripts (in Python, Go, or Shell) to strengthen infrastructure management and deployment reliability
Ensure observability, scalability, and security across distributed systems by integrating monitoring, logging, and alerting solutions
Collaborate cross-functionally to evolve Ema’s infra architecture, enabling faster deployments, lower operational overhead, and improved platform stability
Requirements:
Bachelor’s or Master’s degree in Computer Science, Engineering, or a related technical field
5+ 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 across time zones
Nice to have:
Experience designing installers and deployment managers for both SaaS and air-gapped on-prem environments
Strong understanding of container orchestration (Kubernetes) and infrastructure as code (Terraform, Helm)
Hands-on experience with automation frameworks (Ansible, ArgoCD, Flux, or similar)
Knowledge of service mesh and networking for multi-cloud environments (Istio, Envoy, or similar)
Familiarity with monitoring and observability stacks (Prometheus, Grafana, Signoz, PagerDuty)
Prior experience in ML Ops or data infrastructure is a plus
Proficiency in Python or Go
Exposure to air-gapped deployments, private clouds, or secure enterprise installations