Job Description :

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.

- Strong 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