RBL Bank - Cloud Operations Engineer - Google Cloud Platform

Description :

- Execute service and change requests within defined SLA and turnaround time (TAT).

- Participate in scheduled operational activities including Disaster Recovery (DR) drills, deployments, and patching.

- Define and document best practices and strategies regarding application deployment and infrastructure maintenance.

- Understand the current application infrastructure and suggest improvements to it.

- Ensure adherence to cloud best practices and compliance standards using Cloud Security Posture Management (CSPM) tools.

- Assist in identifying root causes and implementing mitigation strategies for critical incidents.

- Collaborate in planning, designing, and solutioning discussions with cross-functional teams.

- Monitor cloud resources for health checks, alerts, and notifications to ensure optimal performance and availability.

- Support both technical and non-technical stakeholders in identifying and optimizing their cloud resources.

- Handle issues and tasks related to cloud infrastructure including networking, Windows, Linux, and other platform-specific components.

Qualifications and Experience Requirement :

Essential :

- Bachelor's degree in computer science, Information Technology, or a related field.

- 5 - 7 years of experience with GCP services and tools.

- Experience with one or more of these solutions : Google App Engine, Cloud Function, Cloud run or open source software communities.

- Knowledge of core data structures and concepts : MVCC, CI/CD Pipelines, HTTP Protocol, web frameworks and common web technologies.

- Basic System/Network Administrator level knowledge of Linux/Unix or Windows systems (from Kernel to Shell and beyond, file systems and client-server protocols).

- Strong experience designing and building multi-tenant IaaS and PaaS cloud solutions with particular emphasis on Google Cloud;

- Exposure to SDLC and continuous delivery toolsets : GitLab CI, TravisCI, CircleCI and Jenkins or comparable tools;

- Knowledge using automation scripting languages : Python, Ansible, Bash or similar;

- Strong experience with cloud solution design patterns (microservices, messaging, distributed caching, containers, IAM etc.);

- Experience in designing and deploying cloud-based applications on GCP and Landing Zone

- Google VPC, Cloud compute engine, Cloud App engine, google API gateway, cloud functions, cloud run, load balancing, cloud web hosting.

- Experience on working with services used for Data Science BigQuery, Composer, Vertex AI, DataProc and DataFusion.

- GCP management & monitoring Tool (Monitoring, Logging, Error Reporting, Trace, Cloud Console)

- Experience in troubleshooting connectivity issues, VMs, instance groups, OS management, networking issues, storage and service accounts

Skill and behavioural competencies Attribute :

- Working knowledge of IaC Tools such as(CloudFormation, Terraform etc)

- Experience with implementing Automation and optimizations using Cloud native and serverless approaches.

- Strong analytical and problem-solving skills with attention to detail.

- Good understanding of ITIL processes including incident, change, and problem management.

- Excellent verbal and written communication skills; able to convey technical information clearly to both technical and non-technical stakeholders.

- Ability to remain calm and focused under pressure, especially during production incidents and critical outages.

- Willingness to work in a 24x7 rotational shift model from the office, including weekends and holidays as required.

- Strong sense of ownership and accountability for tasks and deliverables.

- Collaborative mindset with the ability to work effectively in cross-functional teams.

- Proactive attitude towards learning and continuous improvement.