5 - 10 years
Posted:6 days ago
Build and manage automated pipelines for building testing and deploying code using tools like Jenkins and AWS DevOps
Set up smooth deployment processes for different environments like Dev QA and ProductionAdd tools for security checks and code quality checks into the development processWork with other teams to connect tools like ServiceNow GitHub and JIRA with the platformAutomate infrastructure setup and make sure it fits with AIbased approachHelp prepare the platform for automated testing and performance improvements in AWS and Azure cloudImplement the Agentic AI Platform in different client environments on AzureAWS cloudRequired Skills ExperienceHandson experience in server administration and cloud technologies Azure AWSSolid understanding of networking network security and infrastructure componentsProficiency in scripting languages PowerShell Bash Python YAML JSON Shell scriptingFamiliarity with databases MySQL PostgreSQL OpenSearch ArangoDBKnowledge of ActiveMQ Artemis Kafka Keycloak and identity management protocolsAI GenAI Tools GPT41 LangGraph Mistral 7B LLM LTIM AI Platform agent developmentExpertise in containerization and orchestration Docker KubernetesBuild and manage automated pipelines for building testing and deploying code using tools like Jenkins and Azure DevOpsStrong analytical and problemsolving skillsExperience with ITSM tools and ticket managementAbility to multitask and deliver under stringent deadlinesProficiency in MS Office Suite
Manage application specific artifacts on Kubernetes Scheduler and Workflow services
Troubleshoot pod deployment and service failures
Recover failed schedulers and workflows
Optimize application configurations for performance and cost
Support deployments and postdeployment stabilization
Collaborate with Infrastructure teams for cloud platform issues
Maintain operational runbooks and cloud support procedures
Perform cloud capacity planning and environment health reviews
Support 24x7 operational readiness for business critical applications
Cloud Workflows, Google Cloud Operations Suite
Cloud Logging, Cloud Monitoring
Kubernetes Administration, Deployment management
Pod troubleshooting, Service troubleshooting
ConfigMap and Secret management,Helm deployments, YAML configuration management, Autoscaling concepts, Configuration Automation, YAMLJSON configuration, CICD deployment support
Application deployment troubleshooting, Runtime optimization, Capacity tuning, AMS Operations
Incident management, Problem management, RCA
Release support, Operational reporting, Production support
Scripting - Bash, Shell, Python preferred
Terraform awareness, Apigee, Redis, AlloyDB, Dataflow, PubSub, DevSecOps practices, FinOps Cloud Cost Optimization, AI platform deployment exposure
Free courses, interview questions and practice for each skill.
Hybrid
Full Time
LTM
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