11 months ago
Bengaluru, IndiaSenior
Responsibilities
- Architect and build a multi-cloud infrastructure platform supporting AWS, Azure, GCP, and on-premise deployments.
- Design and implement secure, resilient deployment frameworks for automated installation, upgrades, and lifecycle management.
- Develop and maintain infrastructure pipelines using Kubernetes, Helm, Terraform, and cloud-native services.
- Build tools and frameworks for provisioning, configuration, monitoring, and upgrades at scale.
- Design and optimize CI/CD pipelines across environments to improve release processes and developer experience.
- Write Python, Go, or Shell automation and infrastructure-management code.
- Integrate monitoring, logging, and alerting solutions to improve observability, scalability, and security.
- Collaborate with product, infrastructure, and engineering teams to improve deployment speed, operational efficiency, and platform stability.
Requirements
- Bachelor’s or Master’s degree in Computer Science, Engineering, or a related technical field.
- At least 8 years of hands-on experience in Infrastructure, Platform, or DevOps Engineering, including strong multi-cloud exposure.
- Strong understanding of scalability, reliability, performance, analytical problem-solving, and distributed systems.
- Experience working independently and collaboratively in fast-paced, high-growth environments.
- Experience collaborating with global, cross-functional teams across time zones.
- Experience with Kubernetes, Terraform, Helm, and infrastructure automation frameworks such as Ansible, ArgoCD, or Flux is preferred.
- Experience with service mesh and networking technologies such as Istio or Envoy is preferred.
- Familiarity with Prometheus, Grafana, Signoz, or PagerDuty is preferred.
- Experience designing installers and deployment managers for SaaS and air-gapped on-premise environments is preferred.
- Prior ML Ops or data infrastructure experience and exposure to private clouds or secure enterprise installations are preferred.
- Proficiency in Python or Go is preferred.
Benefits
- Hybrid work arrangement with employees expected to work from the office three days per week.
- Role based in Silicon Valley or Bangalore, India.
Tech Stack
AmbassadorAnsibleAWSAzureGitHub ActionsGoGoogle Cloud PlatformGrafanaHelmIstioKubernetesPrometheusPythonTerraform
Categories
About Ema
Ema builds an agentic AI platform that delivers AI employees to automate HR, IT, and Finance workflows across existing enterprise systems. It sells to large organizations via enterprise software and implementation services, offering on-prem and air-gapped deployments and 1,000+ prebuilt integrations. Founded in 2023, it has deployments with Wipro and Hitachi.