Job Title : AI Support - Full Stack Engineer
Location : Richmond, VA (Onsite – Hybrid)
Contract: 3 months CTH
Job Description
Role Summary
We are looking for Full stack engineer and AI support engineer who Lead L2L3 application support and engineering activities Act as the primary customer facing technical lead responsible for incident management release coordination stakeholder communication RCA leadership application stability and continuous improvement initiatives Own technical governance while collaborating with offshore teams to ensure 24x7 operational support
Mandatory Skills
· Full Stack Development
· Java
· Spring Boot Microservices
· REST API design and troubleshooting
· Redis
· Distributed application architecture
· API integrations and orchestration patterns
· Cloud Platform
· Google Cloud Platform Google Cloud Platform
· GKE Google Kubernetes Engine
· Kubernetes concepts and troubleshooting
· PubSub
· Cloud Monitoring Logging
· Apigee API Gateway
· Alloy DB
· Scheduler and Workflow concepts
· AI Application Support
· AIenabled application support
· Google ADK Agents
· Gemini API integrations
· RAGbased application architectures
· AI service consumption and troubleshooting
· Prompt execution flow understanding
· AMS Production Support
· L2L3 Support
· Incident Management
· Problem Management
· Root Cause Analysis RCA
· Release Management
· Change Management
· Service Request Fulfilment
· SLA Management
· Production Support
· Leadership
· Customerfacing leadership
· Technical governance
· KT management
· Offshore coordination
· Executive communication
· Risk and escalation management
· Good to Have Skills
· Dataflow
· Healthcare Life Sciences domain experience
· DevOps CICD tools
· AIled operations tools and automation
Key Responsibilities
· Serve as overall technical lead for BidIQ Pricing Engine Guidance Engine and EnablerSwitch support
· Lead P1P2 incident bridges and critical production escalations
· Drive RCA reviews and preventive actions
· Coordinate releases deployments and postproduction validations
· Guide offshore support engineers and cloud engineers
· Participate in governance reviews service reporting and client leadership meetings
· Support minor enhancements and continuous improvement initiatives
· Own transition KT validation and operational readiness activities
Skills
Mandatory Skills : Google Cloud Platform Cloud Build, Java, Microservices
Skill/Topic | Description | Rating (0-10) | Duration (Months) | Justification (Brief Explanation) |
Core Java & Spring Boot | Strong understanding of Java and Springboot fundamental with hands on experience | | | |
Google Cloud Platform basics | Strong fundamental of Google Cloud Platform basic services | | | |
Google Cloud Platform Logging and monitoring | Ability to monitor services and looks into the logs to find out issues | | | |
GKE | Understanding of microservices deployment on GKE and GKE objects like pod/deployment/service. Ability to work with helm charts and yaml files. | | | |
Apigee | Knowledge of Apigee system and proxies. Ability to check error rate etc and debug. | | | |
Alloy DB or any other relevant DB | Understanding of AlloyDB and basic queries to interact with DB | | | |
AMS experience | Previous Experience with AMS project and ability to coordinate between onshore and offshore. | | | |
Google ADK And Gemini Enterprise Agent Platform | Awareness of Gemini Enterprise agent platform and any learning/experience with ADK | | | |
Freemarker or similar tool experience | Basic understanding using Freemarker or any similar tool for UI/Webpages | | | |
Scheduler and workflow | Basic understanding of Scheduler and workflow and ability to work with yaml files and resume failed jobs successfully | | | |
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