Assoc Cloud Engineer

Role and Responsibilities

The Level 3 (L3) Support team provides the highest level of technical expertise for the HEALIX Data Streaming platform. This role is responsible for resolving complex technical issues escalated from Level 2 (L2) support, performing in-depth root cause analysis, and driving long-term solutions to enhance system stability, performance, and scalability. The L3 team also supports ongoing platform improvements, integration enhancements, and environment optimization.

Key Responsibilities:

Advanced Incident Resolution:
. Resolve critical or complex incidents escalated from L2 support.
. Conduct deep-dive analysis of application, data pipeline, and infrastructure issues.
. Work with vendors and engineering teams to implement permanent fixes.

Root Cause Analysis & Problem Management:
. Lead technical investigations to identify underlying causes of recurring or major issues.
. Develop and implement preventive measures and corrective action plans.
. Maintain technical documentation and RCA reports for audit and knowledge sharing.

System Enhancement & Optimization:
. Support design and implementation of enhancements to improve system reliability and performance.
. Review and optimize data streaming workflows, resource utilization, and integration configurations. . Participate in code reviews, configuration tuning, and performance testing.

Change & Release Management:

. Support deployment of software updates, patches, and configuration changes.

. Collaborate with DevOps and engineering teams to ensure smooth rollouts and rollback plans.

. Validate system stability post-deployment. Collaboration & Knowledge Transfer:

. Work closely with development, data engineering, and architecture teams on system improvements.

. Provide technical guidance and training to L2 support.

. Contribute to the creation and maintenance of the technical knowledge base.

Requirements / Qualifications

Requirements:

. Degree in Computer Science, Information Technology, Engineering, or related field.

. Experience in system, data platform, or application support.

. Hands-on experience with cloud platforms (e.g., AWS), data streaming frameworks (e.g., Kafka, Databricks), and automation tools.

. Strong understanding of APIs, data pipelines, monitoring tools, and incident management processes.

. Strong communication and collaboration skills across technical and business teams.

. Familiarity with ITIL or similar service management frameworks is preferred.