:

Key Responsibilities :

Infrastructure Design Automation :

- Architect and maintain hybrid and on-premises environments for compute and storage workloads.
- Deploy and manage containerized microservices using Kubernetes (on-prem and cloud).
- Automate infrastructure provisioning using Terraform, Ansible, or similar tools.
- Configure and scale distributed data streaming and storage platforms (e.g. : Kafka clusters, Apache Spark, and data lake/warehouse).

Scalability Performance :

- Design for elastic scaling, load balancing, and resource isolation for data services and APIs.

Security Governance :

- Secure hybrid deployments with VPNs, firewalls, and identity management.
- Implement data access controls, audit trails, and encryption across services and storage layers.
- Manage secrets securely across environments.

Monitoring, Logging Resilience :

- Set up observability stacks (Prometheus, Grafana, ELK, OpenTelemetry) for real-time insight.

CI/CD Operations :

- Build pipelines to deploy services, data jobs, and configuration changes to hybrid infra.
- Maintain and enhance CI/CD pipelines for zero-downtime deployments and rollbacks.
- Support SRE practices including incident management, post-mortems, and runbook creation.

Required Skills :





- Bachelor's or Master's in Computer Science, Engineering, or related field.
- 8 years in DevOps and SRE roles.
- Robust experience with hybrid and on-prem Kubernetes deployments.
- Proficiency in infrastructure automation (Terraform, Ansible, Helm).
- Experience with data processing and microservices orchestration, supporting real-time data platforms in hybrid or on-premises environments.
- Solid understanding of networking, storage, firewalls, and security for hybrid deployments.
- Programming/scripting experience with Bash, Python, or Go.
- Strong grasp of DevOps best practices, observability, and system reliability engineering.

Good to Have :

- Experience with data lake/warehouse platforms (HDFS, S3-compatible storage, Redshift, Snowflake).
- Knowledge of event-driven architectures, ETL/ELT pipelines, and data mesh concepts.
- Exposure to machine learning operations (MLOps) or data science workflows.
- Certifications in Kubernetes, cloud platforms, or security are a plus.

Role : Site Reliability Engineer

Industry Type : Investment Banking / Venture Capital / Private Equity

Department : Engineering - Software & QA

Employment Type : Full Time, Permanent

Role Category : DevOps

📌 WAISL Limited - Senior Site Reliability Engineer - DevOps (India)
🏢 Waisl
📍 India