GCP SENIOR DEVOPS ENGINEER/SENIOR CONSULTANT SPECIALIST
HSBC View all jobs
- Hyderabad, Telangana
- Permanent
- Full-time
- Work in a Cloud Infrastructure enablement team to enable GCP (Google Cloud Platform), AWS platforms and deploy data processing tools, APIs, AI / ML tools on GCP & AWS.
- Lead & drive areas to increase efficiency, reengineer and automate selected processes to drastically improve process/operation efficiencies that will enable the business to make rapid decisions and ensure successful implementation without impact on the business.
- Provide technical leadership in the areas of metrics, logging, tracing, profiling, alerting and visualization, deep dive into code and system design to help diagnose issues.
- Architect, build, and deploy agentic AI systems (multi-agent workflows, LLM-based applications, autonomous decisioning) integrated with enterprise data platforms.
- Develop end-to-end AI pipelines for data ingestion, feature engineering, evaluation, and monitoring.
- Integrate AI solutions with cloud-native services, APIs, and business applications.
- Collaborate with data platform teams to design scalable data fabrics, and real-time pipelines.
- Partner with business and domain teams to identify and deliver high-impact AI use cases.
- 10 or more years work experience in Cloud DevOps with strong awareness of industry Data Quality practice and Analytic Tools and experience in financial domain (Banking).
- Strong exposure to Google Cloud platform and AWS.
- Experience in Airflow, Composer, Terraform, Jenkins and Ansible tower. Linux and windows development experience & API Design.
- Excellent collaboration, problem-solving, and communication skills to deliver scalable, high-impact AI solutions aligned with business goals.
- Good technical design and implementation skills with proven track record of delivering large and complex projects.
- Proficiency in AI/ML frameworks, LLM-based applications, and multi-agent systems.
- Strong experience in building end-to-end AI pipelines, data engineering, and integrating AI solutions with cloud platforms (AWS, Azure, GCP).
- Knowledge of integrating AI solutions with APIs, cloud-native services, and business applications for seamless enterprise adoption.