Technical Account Representative

As an TAM for Oracle Cloud Administrator , your contribution to customer success is measured by the value they receive from your services.

You are responsible for the technical service delivery and operational governance of the customer's cloud environment. Your primary role is to help customers:

• Maximize the business value of their Oracle Cloud investments 
• Achieve desired business outcomes while minimizing risk.

To accomplish this, you must operate as a trusted technical advisor, ensuring the consistency and quality of cloud deployments and operations. You help customers implement their IT strategy, overcome technical challenges, and meet business goals by applying leading practices across various services, which may include:

• Managed Services
• Cloud  / Hybrid / multi Cloud integration
• Applications, Platforms, and Databases
• Security services
• The candidate must have strong troubleshooting skills on cloud and Database technology products
• Expertise in Performance issue analysis and providing resolution
• Guide customer on Oracle cloud Best practices
• Strong knowledge in OCI Core Services (Compute, Networking/VCN, Storage, IAM, Load Balancer etc )
• Should possess knowledge on implementation and supporting on cloud Security Products like Transparent Data Encryption, Redaction, Data Vault, Masking.
• Possess strong troubleshooting skills on Real Application Cluster
• Should be able to guide and mentor team of engineers on Database Technology products
• Should possess knowledge and be able to articulate to customer the use cases of Advanced Compression, In-memory
• Knowledge on Oracle Enterprise Manager
• Must Manage OCI resources (provisioning, configuration, upgrades, and patching), including Compute, Object Storage, and Cloud Database Services (e.g., Autonomous Database).
• Identify bottlenecks in the cloud infrastructure stack (network, compute, storage) and propose effective architectural solutions.
• Automate operational tasks, configuration management, and deployments using scripting languages (e.g., Python, Bash) and OCI Functions.

Personal Skills

• Strong experience in service delivery and/or project management is required.
• Oracle products and services knowledge will be highly appreciated as well as experience in Oracle HW platforms and OS.
• Experience on Enterprise Customers is required
• Excellent communication / relationship building skills
• Customer focused and results oriented
• Ability to work under pressure in highly escalated situations
• Organized with strong attention to detail
• Decision making / problem solving skills
• Ability to manage multiple concurrent activities (customer engagements)
• Highly professional: Ability to deal with senior and exec stakeholders with confidence
• Strong analytic skills and ability to identify potential risks and issues

Qualifications:

• Education: Bachelor's degree in computer science, IT, or related field. Oracle certifications (e.g., OCI , OCA, OCP) are preferred.
• Experience: 8-12 years of hands-on experience with Oracle cloud administration and support.
• Shift : 24*7 Shift working from Client Site Chennai / Bangalore  . No remote or WFH allowed.

Technical Skills:

• Experience with OCI Core Services (Compute, Networking/VCN, Storage, IAM, Load Balancer).
• Design, implement, and manage Virtual Cloud Networks (VCNs), Security Lists, and Network Security Groups (NSGs).
• Implementing DR and High Availability solutions leveraging OCI services like Cross-Region Replication, Fault Domains, and Availability Domains.
• Develop, deploy, and maintain infrastructure using Infrastructure as Code (IaC) tools like Terraform or OCI Resource Manager.
• Manage IAM policies, groups, and compartments to enforce strict access controls and security compliance.
• Monitor, analyze, and optimize cloud resource usage, performance, and cost efficiency using OCI Monitoring, Logging, and Cloud Advisor.
• Expert in analyzing OCI Monitoring metrics, Audit logs, and Alarms to identify and resolve platform-level performance or security issues.
• Manage OCI resources (provisioning, configuration, upgrades, and patching), including Compute, Object Storage, and Cloud Database Services (e.g., Autonomous Database).
• Identify bottlenecks in the cloud infrastructure stack (network, compute, storage) and propose effective architectural solutions.
• Automate operational tasks, configuration management, and deployments using scripting languages (e.g., Python, Bash) and OCI Functions.

OCI Cloud & Infrastructure

• Core Services:
  • Provisioning and management of OCI Compute instances (VM/Bare Metal).
  • Administration of Object Storage, Block Volumes, and File Storage.
• Networking:
  • Designing and managing Virtual Cloud Networks (VCNs).
  • Configuration of Network Security Groups (NSGs) and Security Lists.
  • Knowledge of FastConnect, Load Balancers, and Gateways (NAT/Service).
• Cloud Security & Access:
  • Expertise in IAM Policies, Groups, Users, and Compartments.
  • Familiarity with OCI Vault and Auditing services.
• Database Cloud:
  • Administration of Autonomous Database (ATP/ADW).
  • Managing Database Cloud Service (DBCS) lifecycles and scaling.
• Cloud Operations:
  • Utilizing Availability Domains and Fault Domains for HA design.
  • Cost optimization using OCI Cloud Advisor and monitoring tools.

 Automation, Scripting

• Infrastructure as Code (IaC):
  • Mandatory hands-on experience with Terraform.
  • Using OCI Resource Manager for automation.
• Scripting:
  • Proficiency in Python (for automation/APIs).
  • Strong skills in Bash/Shell Scripting (for OS-level tasks).
• Monitoring & OS:
  • Configuring OCI Monitoring and Logging services.
  • Advanced Linux/Unix system administration and tuning.

Additional Advantage 

AI & ML Skillset ( Good to have ) 

• Python: The core programming language for AI and Machine Learning.
• Essential Libraries:
  • NumPy for numerical computation and array handling.
  • Pandas for data manipulation and analysis.
  • Matplotlib/Seaborn for data visualization.
• ML/DL Frameworks: Hands-on experience with:
  • Scikit-learn for traditional ML models.
  • TensorFlow/Keras or PyTorch for Deep Learning implementations.
• SQL: Proficiency in querying and retrieving data from databases.
• Git: Competence in version control for collaborative development.
• Familiarity with various neural network architectures (CNNs, RNNs, Transformers).
• Experience with Large Language Models (LLMs) and generative AI principles.
• Big Data Tools: Exposure to platforms like Spark or cloud services for handling large datasets.