Lead AI Engineer
INR 2156K-3500K (estimate) Senior-level Full Time
Tasks
- Apply infrastructure as code
- Build cloud native distributed microservice architectures
- Collaborate with architects and SRE leads on technical direction
- Create and maintain technical documentation runbooks and end user guides
- Define and report SLA, SLO, SLIs
- Deliver technical presentations to stakeholders
- Deploy and release software with Jenkins CI CD pipelines
- Design and develop big data processing solutions
- Design and develop cloud-native microservices
- Drive architecture decisions and refactoring
- Ensure compliance with secure software development guidelines
- Lead sprint planning and sprint retrospectives
- Manage cross-functional engineering teams
- Meet and maintain QE DevSec and FinOps KPIs
- Mentor and coach engineers
- Perform R&D prototyping and proof of concept
Perks/Benefits
Skills/Tech-stack
AWS | Agile | Apache Airflow | Apache Beam | Atlassian Confluence | Atlassian Jira | Azure | BigQuery | Bigtable | CI/CD | CSS | Cloud Architecture | Cloud Dataflow | Cloud Native | Cloud Storage | Composer | Confluence | Distributed Systems | GCP | GKE | Git | Google Cloud | Google Cloud Dataflow | Google Cloud Storage | Gradle | HTML | Helm | Infrastructure as Code | JUnit | Java | JavaScript | Jenkins | Jira | Kubernetes | LoadRunner | Maven | Microservices | MySQL | PubSub | SOAPUI | SQL | SVN | Scrum | Selenium | Spring Boot | Terraform | TypeScript | “as-code”
Education
Roles
AI Engineer | Engineer | Lead | Lead AI | Lead AI Engineer | Software Engineer
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