AWS Cloud & Kubernetes DevOps Engineer

AWS Cloud & Kubernetes DevOps Engineer We are seeking a highly skilled DevOps/Cloud Infrastructure Engineer with experience in cloud infrastructure, Kubernetes operations, observability, automation, and enterprise platform management. The ideal candidate will have strong troubleshooting skills, a proactive mindset, and the ability to collaborate effectively across technical and business teams. Required Technical Skills

• Design, deploy, and maintain cloud infrastructure using AWS services, including:
• EC2
• EFS
• RDS
• Application Load Balancer (ALB)
• IAM
• S3
• Implement infrastructure best practices for security, scalability, reliability, and performance.
• Manage, operate, and troubleshoot Kubernetes/EKS clusters.
• Experience with Kubernetes deployments, integrations, upgrades, and cluster maintenance.
• Hands-on experience with:
• Helm chart deployment and management
• KEDA for event-driven autoscaling
• NGINX Ingress Controller or NGINX Gateway
• Experience with observability and monitoring tools, including:
• Prometheus
• Alertmanager
• Grafana
• Splunk
• Monitor system performance, availability, reliability, and capacity.
• Proactively identify and resolve infrastructure and application issues.
• Experience with Fluent Bit for log collection and forwarding.
• Experience with MongoDB administration and operations.
• Knowledge of pgvector or vector-based database extensions.
• Experience with Keycloak for authentication, authorization, and identity management.
• Experience using:
• Jira
• Confluence
• Bitbucket
• Develop, implement, and support document generation and automation solutions using SmartDocument.
• Build and maintain automated operational processes and workflows.

Key Responsibilities

• Design, deploy, and maintain secure, scalable, and highly available cloud infrastructure.
• Manage Kubernetes/EKS environments and support application deployments.
• Implement monitoring, logging, alerting, and observability solutions.
• Collaborate with cross-functional teams to design and deliver scalable automation solutions.
• Create and maintain technical documentation, architecture diagrams, and operational procedures.
• Develop and execute backup, recovery, and disaster recovery processes.
• Perform system performance tuning and capacity planning.
• Troubleshoot complex infrastructure and application issues.
• Ensure adherence to operational best practices and security standards.

Professional Skills

• Ability to define goals, prioritize tasks, and meet project deadlines.
• Strong willingness to learn and adapt to new technologies and platforms.
• Ability to analyze information from multiple sources and translate business requirements into technical solutions.
• Strong understanding of system reliability, performance optimization, and operational excellence.
• Excellent problem-solving and analytical skills.
• Ability to work effectively with technical teams, business stakeholders, and external partners.
• Strong verbal and written communication skills.
• Self-motivated with the ability to work independently and within collaborative team environments.

Preferred Qualifications

• Experience with enterprise-scale Kubernetes environments.
• Knowledge of modern cloud-native architectures and DevOps practices.
• Familiarity with AI/ML-related infrastructure components and vector databases.
• AWS certifications and Kubernetes certifications are a plus.
• Bachelor's degree or higher
• AWS certification
• Strong hands-on experience with AWS (e.g., EC2, EFS, RDS, ALB, IAM, S3, Lambda)
• Experience managing and troubleshooting Kubernetes/EKS (i.e., deployments, integrations, configuration)
• Experience with document generation or automation platforms (e.g., SmartDocuments, DocuSign CLM, Adobe PDF Services)
• Experience with Linux and Windows environments
• Scripting skills for system automation, configuration management, and troubleshooting
• Familiarity with Agile frameworks
• Experience with CI/CD framework and pipeline software such as Jenkins

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