| SRE Support with (AI Platform Exp is must )-Remote at Remote, Remote, USA |
| Email: [email protected] |
| From: Ryan, nitya software [email protected] Reply to: [email protected] SRE Support with (AI Platform Exp is must ) Remote USA Passport number is Must 3-5 Yrs of AI experience is madatory What is the specific title of the position Optum AI SRE Support Work location (specify UHG/UHC/Optum location or remote/telecommute) MN101, NC, Remote/telecommute Work hours (ex. 9am-5pm day/night shifts rotating shifts etc.) 9 AM 5 PM CT, will have rotating on-call shifts (6 AM -6 PM CT), flexibility to stay on the shift for critical issues. Please provide a summary of the project/initiative that this candidate will be working on United AI studio and Optum AI critical assets Please describe the team the candidate will be working with - how many members : 6+ What is the break-down of the teams skill sets (ex: 1 PM 4 Developers etc.) 1 Technical Lead, 8 Engineers ( 4 in US and 4 in IN) What are the top 5-10 responsibilities for this position (please be detailed as to what the candidate is expected to do or complete on a daily basis) Act as production Gatekeeper for all changes (Product and infrastructure changes) Perform detailed deep dive (root cause analysis) on the repeated system issues and work with engineering team for permanent solution Provide support as Tier2 application/platform support for Optum AI applications Periodic on call rotations and available outside of normal business hours on evenings and weekends during critical production release or issue escalation periods Site Reliability Engineer (SRE) is responsible for the availability, latency, performance, efficiency, change management, monitoring, emergency response, and capacity planning This role will be a member of a team that focuses on DevOps, DevSecOps and SRE for the Optum AI Organization The role drives continuous improvement in delivery of resilient, scalable, performant, secure, and high-quality cloud-native services Collaborating with SecOps, and development teams the SRE identifies cross-team issues which create risk for operations across the organization and resolving those issues with a mixture of engineering, troubleshooting expertise, and general operational guidance Proactively drive improvement of enterprise cloud capabilities while creating best practices and tools to empower developers to create, deploy, and operationally support services As a key contributor in the organization this role is responsible for the working with the Principal SRE and guiding junior team members in DevOps culture, highly scalable architectures, and lean development utilizing agile practices Educate yourself and others on anything that helps service teams more quickly and easily build, test, deploy & run their services to be more reliable Plan, design, deploy, and operate Site Reliability Engineering capabilities for cloud products & services Recognize and address sub-standard performance based on key performance indicators (KPIs) Build monitoring that alerts on symptoms rather than outages Continuously build, automate, and improve upon capabilities that are secure, scalable, performant, and resilient Work closely with Infrastructure, Network, Security, Architecture, and Development teams to build highly performing, scalable, and secure Azure/AWS/GCP (cloud) environments Define needs by documenting processes; includes research, planning and writing supporting documentation Participate in regulatory and compliance activities as necessary Periodic on call rotations and available outside of normal business hours on evenings and weekends during critical production release or issue escalation periods Responsible for remediating the security vulnerabilities which are discovered in the non-production and production scans. Participate in the new vendor/product/service onboarding and assess partner technical readiness (Such as Azure AI studio, Azure model catalog, AWS sage maker). .Develop or maintain dashboard for operational analysis and status reports. Perform Operational Readiness testing for every release package to proactively predict any performance degradations across all components of a critical asset. (For example Portal, Workspace creation, Project creation, Model Inference and API Response times) What does the ideal candidate background look like (ex: healthcare specific background specific industry experience etc.) AI platform experience Cloud experience Strong SRE background (include CICD, automation, observability) What skills/attributes are required (please be detailed as to number of years of experience for each skill) 8+ years in software or operations engineering 3+ years of DevOps and Site Reliability engineering or similar experience with cloud-native solutions Proven experience in DevOps culture and site reliability engineering focused on the customer, cross-functional autonomous teams, and continuous improvement DevOps experience with a cloud-native web application hosted in one of the three major cloud platforms Familiarity with version control systems e.g., Git, AzureDevOps Extensive database and operating systems experience Experience in designing and implementing a continuous integration pipeline (CICD) May interacts with cloud vendors and service providers to resolve system related problems Experience in monitoring infrastructure, application uptime, latency, and performance on large distributed systems Exhibit proficiency at troubleshooting various cloud and system related issues Demonstrable cross-functional knowledge with systems, storage, networking, security, and databases Strong verbal and written communication skills with ability to effectively communicate at multiple levels in the organization What skills/attributes are preferred (what will set a candidate apart) What will the interview process look like (Video phone or in person How many rounds How technical will the interviews be) 1 round - Video phone interview with 1 technical engineer in US and/or 1 in IN Keywords: artificial intelligence access management Connecticut North Carolina SRE Support with (AI Platform Exp is must )-Remote [email protected] |
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| Thu May 30 23:42:00 UTC 2024 |