Unikon IT

Lead technical support and production support activities including incident management, release coordination, and stakeholder communication for AI-enabled applications on Google Cloud Platform. | Requires 13+ years experience with full stack development, Java, Spring Boot microservices, Google Cloud Platform, Kubernetes, AI application support, production support leadership, and customer-facing technical governance. | Role: Full Stack Engineer – AI Support, Production support/AMS Lead, Google Cloud Platform, GKE, Google ADK agent, Java, Microservices Location: Remote Experience : 13+ Years Must Have Skills: AI Support, Production support/AMS Lead, Google Cloud Platform, GKE, Google ADK agent, Java, Microservices Role Summary: • We are looking for Full stack engineer and AI support engineer who Lead L2 L3 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 • Pub Sub • Cloud Monitoring Logging • Apigee API Gateway • Alloy DB • Scheduler and Workflow concepts • AI Application Support • AI enabled application support • Google ADK Agents • Gemini API integrations • RAG based 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 • Customer facing 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 • AI led operations tools and automation Key Responsibilities: • Serve as overall technical lead for Bid IQ Pricing Engine Guidance Engine and Enabler Switch 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

Design and develop scalable cloud-native full-stack applications and establish AWS architecture and engineering standards for NextBrain's cloud platform. | 7+ years software engineering experience with strong AWS, backend (Python), frontend (React/Angular), API, microservices, and infrastructure as code skills. | Job Title: Senior Full Stack & Cloud Platform Engineer Job Location: Remote Job Type : Long Term Contract Role Summary We are seeking a Senior Full Stack & Cloud Platform Engineer to play a foundational role in the development and productization of NextBrain Off-Prem, NextBrain's cloud-hosted platform. This individual will design and develop scalable cloud-native applications while helping establish the AWS architecture, deployment patterns, security controls, observability and engineering standards required to operate NextBrain as an enterprise platform. The ideal candidate combines strong software engineering experience with deep AWS knowledge and is comfortable working across front-end, back-end, APIs, cloud infrastructure and DevOps. Key Responsibilities • Design, develop, test and maintain full-stack capabilities for the NextBrain cloud platform. • Define and evolve the AWS architecture supporting NextBrain applications and services. • Develop scalable APIs and microservices supporting NextBrain tools, agents, analytics applications and data services. • Build reusable patterns that simplify onboarding of new applications and analytical tools into NextBrain. • Implement cloud infrastructure using Infrastructure as Code. • Develop and improve CI/CD pipelines and automated deployment processes. • Implement authentication and authorization patterns, including enterprise SSO, IAM, RBAC and application-level access controls. • Design secure mechanisms for managing application secrets, credentials, configuration and environment variables. • Establish application observability through logging, monitoring, metrics, tracing and alerting. • Improve application reliability, scalability, performance and resilience. • Partner with Data Engineering and AI/ML team members to operationalize data and AI services. • Participate in architecture reviews, code reviews, troubleshooting and production support. • Establish technical standards and engineering best practices for the NextBrain cloud platform. Required Qualifications • Bachelor's degree in Computer Science, Engineering or a related technical discipline, or equivalent professional experience. • 7+ years of professional software engineering experience. • Strong experience developing production applications using Python and/or modern backend technologies. • Experience with modern front-end frameworks such as React, Angular or equivalent. • Extensive hands-on AWS experience. • Experience with AWS services such as ECS/EKS, Lambda, API Gateway, S3, RDS/Aurora, DynamoDB, CloudWatch, IAM, Secrets Manager and related services. • Strong understanding of REST APIs, distributed systems and cloud-native application architecture. • Experience with Docker and containerized applications. • Experience building and maintaining CI/CD pipelines. • Experience with Infrastructure as Code such as Terraform, AWS CDK or CloudFormation. • Strong understanding of application security, authentication, authorization and enterprise identity management. • Experience working in Agile product development environments. Preferred Qualifications • AWS Solutions Architect or AWS Developer certification. • Experience with Kubernetes. • Experience implementing enterprise SSO using OAuth2, OIDC, SAML or Active Directory. • Experience with AI/ML or LLM-enabled applications. • Experience building internal developer platforms or reusable application frameworks. • Experience with industrial, energy, IoT, SCADA or operational technology environments.

Design and develop scalable cloud-native full-stack applications and establish AWS architecture and engineering standards. | 7+ years software engineering experience with strong AWS, backend, frontend, API, and infrastructure skills in an Agile environment. | Job Title: Senior Full Stack & Cloud Platform Engineer Job Location: Remote Job Type : Long Term Contract Role Summary We are seeking a Senior Full Stack & Cloud Platform Engineer to play a foundational role in the development and productization of NextBrain Off-Prem, NextBrain's cloud-hosted platform. This individual will design and develop scalable cloud-native applications while helping establish the AWS architecture, deployment patterns, security controls, observability and engineering standards required to operate NextBrain as an enterprise platform. The ideal candidate combines strong software engineering experience with deep AWS knowledge and is comfortable working across front-end, back-end, APIs, cloud infrastructure and DevOps. Key Responsibilities • Design, develop, test and maintain full-stack capabilities for the NextBrain cloud platform. • Define and evolve the AWS architecture supporting NextBrain applications and services. • Develop scalable APIs and microservices supporting NextBrain tools, agents, analytics applications and data services. • Build reusable patterns that simplify onboarding of new applications and analytical tools into NextBrain. • Implement cloud infrastructure using Infrastructure as Code. • Develop and improve CI/CD pipelines and automated deployment processes. • Implement authentication and authorization patterns, including enterprise SSO, IAM, RBAC and application-level access controls. • Design secure mechanisms for managing application secrets, credentials, configuration and environment variables. • Establish application observability through logging, monitoring, metrics, tracing and alerting. • Improve application reliability, scalability, performance and resilience. • Partner with Data Engineering and AI/ML team members to operationalize data and AI services. • Participate in architecture reviews, code reviews, troubleshooting and production support. • Establish technical standards and engineering best practices for the NextBrain cloud platform. Required Qualifications • Bachelor's degree in Computer Science, Engineering or a related technical discipline, or equivalent professional experience. • 7+ years of professional software engineering experience. • Strong experience developing production applications using Python and/or modern backend technologies. • Experience with modern front-end frameworks such as React, Angular or equivalent. • Extensive hands-on AWS experience. • Experience with AWS services such as ECS/EKS, Lambda, API Gateway, S3, RDS/Aurora, DynamoDB, CloudWatch, IAM, Secrets Manager and related services. • Strong understanding of REST APIs, distributed systems and cloud-native application architecture. • Experience with Docker and containerized applications. • Experience building and maintaining CI/CD pipelines. • Experience with Infrastructure as Code such as Terraform, AWS CDK or CloudFormation. • Strong understanding of application security, authentication, authorization and enterprise identity management. • Experience working in Agile product development environments. Preferred Qualifications • AWS Solutions Architect or AWS Developer certification. • Experience with Kubernetes. • Experience implementing enterprise SSO using OAuth2, OIDC, SAML or Active Directory. • Experience with AI/ML or LLM-enabled applications. • Experience building internal developer platforms or reusable application frameworks. • Experience with industrial, energy, IoT, SCADA or operational technology environments.