Cloud Operations Specialist

Job Summary:

The Technical Operations Specialist will lead or participate in managing all installed systems and infrastructure within the technical operations functional area. This role requires a strong understanding of technical process controls or standards, as well as excellent verbal, written, and interpersonal communication skills.

Key Responsibilities:

• Lead or participate in managing all installed systems and infrastructure within the technical operations functional area
• Contribute to increasing system efficiencies and lowering human intervention time on related tasks
• Review and analyze moderately complex operational support systems, application software, and system management tools to ensure highest levels of systems and infrastructure availability
• Work with vendors and other technical personnel for problem resolution
• Lead team to meet technical deliverables while leveraging solid understanding of technical process controls or standards
• Collaborate with vendors and other technical personnel to resolve technical issues and achieve highest levels of systems and infrastructure availability

Required Qualifications:

• 4+ years of Systems Engineering, Technology Architecture experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education

Desired Qualifications:

• Must have 4+ Years of experience as Site Reliability Engineer
• Knowledge/experience of Python/Shell scripting
• Hands on knowledge about LLMs/ leveraging LLM/ supporting LLM based solutions
• Knowledge/experience of Puppet/Ansible
• 4+ years of big data experience needed (Big Query, Hadoop)
• 4+ years with Linux O/S capabilities
• 3 years of experience in AIML area (MLOps)
• 3+ years of Pyspark experience
• 3-5+ years of experience with Tableau/ MicroStrategy or similar BI tools
• Strong experience with monitoring systems such as Splunk, App Dynamics
• Working knowledge of Auto ML technologies such as H2O Driverless AI, DataRobot, VertexAI, Elastic and Vector DB
• Good understanding and hands on with GCP

Job Expectations:

• Participate in development of Generative AI Platform Capabilities
• Responsible for AI model delivery to on-prem infrastructure and cloud platforms (GCP, Azure ML)
• Participate in day-to-day scrum calls for platform capability build
• Research industry best practices, evaluate new technologies, develop standards and engineering best practices and recommend innovative solutions that support automation and improve platform resiliency and fault tolerance of critical applications
• Execute on roadmaps that align with technology and business strategy. Perform hardware and capacity planning, analysis and forecasts for your portfolio of applications with focus on highest availability, scalability, performance, and timely delivery
• Act as an expert resource for other technical teams within the organization
• Deliver day-to-day Application/Platform support services for Digital, AI/ML Platforms
• Responsible for support functions and driving the execution of multiple Application/Platform support services including incident triage, root cause analysis, change evaluation-execution-validation, deployment management, and risk & vulnerability management.
• Provides on-call production support of Mission Critical applications and resolve issues with in RTO.
• Ensure effective production systems monitoring, alarming and notification response/maintenance.
• Leverage diagnostic tools to maintain, troubleshoot and restore service or data to systems
• Structure Operational data and come up with creative data visualization solutions (Build Dashboards)
• Maintain and update support documentation (e.g. game plans, run books, procedures, and process).
• Communicate, co-ordinate and collaborate with multiple support teams and stakeholders