Staff DevOps Engineer
Summary
Staff-level DevOps/platform engineer at HMH, a learning-technology company, based in Mumbai. They define the technical vision for cloud infrastructure, CI/CD, Kubernetes, and observability, and drive AI-enhanced automation using AWS Bedrock and agentic AI, mentoring engineers across teams.
- Cloud & Infrastructure: AWS EC2, Terraform Enterprise, Docker, Aurora, Kubernetes, ELK (Elasticsearch, Logstash & Kibana).
- Observability & Automation: Grafana, Prometheus, Datadog, Telegraf, Apollo, GraphQL.
- Development Stack: Microservices architecture, Spring, Java, NodeJS, React, Express.js.
- Data & Storage: Amazon RDS, DynamoDB, Postgres, Oracle, MySQL, InfluxDB, Linux, GitHub.
- AI & Agentic Automation: AWS Bedrock LLMs, Agentic AI frameworks, AI-assisted platform engineering.
- Define the technical vision and architecture for HMH''s DevOps and platform engineering capabilities.
- Lead cross-functional initiatives spanning cloud infrastructure, CI/CD, observability, security, and developer platforms.
- Drive AI-enhanced DevOps automation through autonomous agents and intelligent operational workflows.
- Partner with Engineering, Architecture, Security, SRE, and Product teams to establish reusable platform capabilities and engineering standards.
- Evaluate emerging technologies and influence long-term technology strategy.
- Lead the design and evolution of cloud infrastructure using Infrastructure as Code (Terraform, CloudFormation).
- Define reusable platform patterns, golden paths, and self-service developer capabilities.
- Own architecture decisions for Infrastructure patterns, CI/CD, Kubernetes platforms, observability, secrets management, and cloud governance.
- Drive improvements in reliability, scalability, resiliency, security, and cloud cost optimization.
- Lead major production incident reviews and drive long-term architectural improvements.
- Mentor Senior Engineers and provide technical leadership across multiple engineering teams.
- Establish engineering standards, best practices, and reference architectures.
- Design and implement AI-enabled operational workflows using AWS Bedrock and agentic technologies.
- 8+ years of hands-on DevOps, SRE, or Platform Engineering experience in Agile environments.
- Expert knowledge of AWS architecture and cloud-native design patterns.
- Deep expertise with Terraform, CloudFormation, Kubernetes, Docker, and CI/CD platforms.
- Experience designing highly available, large-scale distributed systems.
- Strong expertise with observability platforms including Datadog, Grafana, and Prometheus.
- Strong understanding of networking, IAM, cloud security, secrets management, and governance.
- Proven ability to influence engineering organizations without formal authority.
- Excellent communication, architecture, and mentoring skills.
- Platform Engineering and Internal Developer Platforms.
- GitHub Actions platform architecture and developer experience.
- AWS Bedrock, Agentic AI, and AI-assisted software delivery.
- OpenTelemetry, FinOps, Policy as Code, and Chaos Engineering.
- Experience leading organization-wide technical transformation initiatives.
Job Segment: Curriculum, Education
Skills
- Agentic AI
- Agile
- AI
- Aurora
- Automation
- AWS
- AWS Bedrock
- CI/CD
- Cloud
- Cloud Native
- Cloud Security
- CloudFormation
- Datadog
- Design Patterns
- Developer Experience
- DevOps
- Distributed Systems
- Docker
- DynamoDB
- EC2
- Elasticsearch
- ELK
- Express.js
- FinOps
- GitHub
- GitHub Actions
- Grafana
- GraphQL
- IAM
- InfluxDB
- Infrastructure as Code
- Java
- Kibana
- Kubernetes
- Linux
- LLM
- Logstash
- Microservices
- MySQL
- Networking
- Node.js
- Observability
- OpenTelemetry
- Oracle
- PostgreSQL
- Prometheus
- RDS
- React
- Secrets Management
- Spring
- SRE
- Terraform