Senior Devops Engineer

We are seeking a highly motivated Senior DevOps Engineer with strong experience in designing automating and operating scalable secure and highly available cloud-native platforms. The role requires hands-on expertise across AWS Kubernetes/EKS Infrastructure as Code CI/CD observability service mesh databases and production operations. The ideal candidate should also have a good understanding of Generative AI LLM platforms AI gateways and practical AI adoption in DevOps/AIOps workflows.

Roles & Responsibilities

• Design build operate and scale highly available production infrastructure on AWS with a strong focus on reliability security automation and performance.

• Manage and optimize Kubernetes/EKS environments including cluster upgrades autoscaling workload scheduling networking security resource management and high availability.

• Build and maintain reusable Infrastructure as Code using Terraform and implement automated infrastructure provisioning across multiple environments.

• Design and maintain robust CI/CD pipelines using GitLab CI/CD Jenkins or similar tools for automated build testing deployment rollback and release management.

• Implement and operate containerized workloads using Docker Kubernetes and Helm following deployment and configuration best practices.

• Manage service-to-service communication and traffic using Istio Kubernetes Gateway API kgateway Envoy-based gateways or similar technologies.

• Build and maintain centralized observability platforms using Prometheus Grafana Loki Cortex and related monitoring logging alerting and tracing tools.

• Troubleshoot complex production issues across Kubernetes Linux networking DNS HTTP/TLS service mesh load balancers databases and distributed microservices.

• Support and operate data platforms such as MySQL PostgreSQL RDS ScyllaDB ClickHouse and Redis including backup replication monitoring and performance troubleshooting.

• Drive platform reliability and operational excellence through incident management root cause analysis automation capacity planning cost optimization and continuous improvement.

• Adopt AI and AIOps capabilities in DevOps workflows for troubleshooting log analysis alert correlation automation incident analysis documentation and engineering productivity.

Required Skills

• 5-6 years of hands-on experience in DevOps Cloud Infrastructure SRE or Platform Engineering roles.

• Strong knowledge of AWS services including EKS EC2 VPC ALB/NLB CloudFront Route 53 IAM S3 RDS KMS Secrets Manager and security services.

• Strong experience with Kubernetes Docker Helm Terraform GitLab CI/CD and Jenkins.

• Hands-on knowledge of Istio service mesh API gateways Kubernetes Gateway API and Envoy-based architectures.

• Strong experience with observability tools such as Prometheus Grafana Loki Cortex and similar monitoring/logging platforms.

• Strong Linux administration and troubleshooting skills with scripting experience using Python and Shell.

• Experience with relational and distributed databases including MySQL PostgreSQL RDS ScyllaDB ClickHouse Redis or similar technologies.

• Familiarity with build and software development tools such as Git Maven Gradle artifact repositories and release processes.

• Good understanding of Generative AI and LLM fundamentals including prompts tokens context windows model APIs inference latency rate limits and AI workload cost.

• Familiarity with AI platforms and technologies such as OpenAI Anthropic Claude Google Gemini AWS Bedrock AI-gateway or similar AI/LLM gateway solutions.

Additional Information :

Responsible for safeguarding sensitive company data against unauthorized access use or disclosure and for reporting any suspected security incidents in line with the organizations ISMS (Information Security Management System) policies and procedures.

Remote Work :

No

Employment Type :

Full-time