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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