In this role, you will:

• Lead or participate in managing all installed systems and infrastructure within the Systems Operations functional area
• Contribute in increasing system efficiencies and lowering the human intervention time on related tasks
• Review and analyze moderately complex operational support systems, application software, and system management tools to ensure the 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
• Excellent verbal, written, and interpersonal communication skills. Ability to articulate technical solutions to both technical and business audiences
• Recent and demonstrated ability to influence management on technical or business solutions
• Working knowledge of design and build grid computing with CPU and GPU supporting AIML and NLP
• Working knowledge of high-performance storage technologies along with Object Storage
• Knowledge and understanding of network infrastructure to support high throughput and low latency grid computing
• Willing to work in shifts
• 1+year of experience in LLM , Generative AI (dev/ops)
• 1+year of experience in Elastic Search, Vector Database, Model Development would be added benefit.
• Experience with data processing technology (AbInitio, Informatica, IBM DataStage)
• Experience with large data technology (Hadoop, Teradata, Elasticsearch, etc.)
• Understanding of Agile practices and ability to work with Agile teams to define and track user stories
• Experience with implementing complex F5 or other Load Balancer Technologies
• Working knowledge of building high resiliency grid/cloud computing infrastructure supporting AIML and NLP workloads
• Knowledge and understanding of Cloud computing, PaaS design principles and micro services and containers
• Working knowledge/experience with Azure and/or GCP
• Working knowledge/experience with on-premise and Public Cloud technologies, such as Cloud Foundry, Kubernetes, Docker
• Experience in facilitating analysis of current systems and problem identification and resolution
  • Ability to facilitate technically complex discussions and working sessions in person or via teleconference