Lead Cloud Operations Engineer

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At NiCE, we don't limit our challenges. We challenge our limits. Always. We're ambitious. We're game changers. And we play to win. We set the highest standards and execute beyond them. And if you're like us, we can offer you the ultimate career opportunity that will light a fire within you. So, what's the role all about? We are seeking a highly skilled Cloud Operations Engineer to join our team. The ideal candidate will possess deep technical expertise in Linux systems, AWS cloud infrastructure, container orchestration platforms, and database administration. In this role, you will be responsible for designing, implementing, operating, and optimizing complex cloud environments on AWS. You will manage containerized workloads running on Amazon EKS and ECS, maintain production-grade Linux systems and databases, and contribute to the reliability, scalability, and security of our cloud platforms. This is an excellent opportunity to join a collaborative, engineering-driven organization where technical excellence, innovation, and continuous improvement are highly valued. How will you make an impact? Design, implement, and operate scalable, secure, and highly available AWS cloud infrastructure leveraging services such as EC2, EKS, ECS, RDS, S3, VPC, Lambda, and IAM. Drive the reliability and performance of containerized applications by managing Amazon EKS and ECS environments, including cluster operations, networking, scaling, and troubleshooting. Ensure the stability, security, and efficiency of production Linux environments through system administration, performance tuning, storage management, networking, and incident resolution. Maintain and optimize relational databases (PostgreSQL, MySQL, Aurora) and NoSQL platforms (DynamoDB, Redis), ensuring high availability, performance, and disaster recovery readiness. Strengthen the organization's cloud security posture through effective management of IAM, network security controls, secrets management, and compliance best practices. Enhance platform observability and operational excellence by implementing and improving monitoring, logging, alerting, and performance analytics using CloudWatch, Prometheus, and Grafana. Take ownership of production incidents by participating in on-call rotations, leading troubleshooting efforts, performing root cause analysis, and driving continuous improvement initiatives. Partner closely with software engineering, DevOps, and platform teams to improve deployment processes, application reliability, and operational efficiency. Identify and implement cloud cost optimization opportunities through resource right-sizing, capacity planning, automation, and governance best practices. Have you got what it takes? 4-5 years in a cloud operation, infrastructure engineering, or SRE role with a strong hands-on technical focus AWS Services Deep hands-on experience with core AWS services: EC2, EKS, ECS, RDS/Aurora, S3, VPC, IAM, Lambda, CloudWatch, Route 53, and ALB/NLB Proven ability to design and troubleshoot complex AWS networking topologies (VPCs, subnets, transit gateways, security groups) Solid understanding of AWS IAM - roles, policies, permission boundaries, and cross-account access Container Orchestration Hands-on production experience managing workloads on Amazon EKS and ECS - cluster lifecycle, node group management, networking (CNI, service mesh basics), and autoscaling Strong Docker fundamentals: image builds, registries (ECR), multi-stage builds, and container security Linux Strong Linux administration skills: Bash/Python scripting, process and memory management, filesystem and storage operations, kernel parameters, and network diagnostics Experience managing and hardening Linux servers in production environments (RHEL, Ubuntu, or Amazon Linux) Infrastructure as Code & Configuration Management Proficient in Terraform - module design, state management, remote backends, and workspace strategies Hands-on experience with Puppet for configuration management, node classification, and enforcing system state at scale Databases Hands-on experience with relational databases: PostgreSQL, MySQL, or AWS RDS/Aurora - schema management, query optimisation, replication, backups, and failover Familiarity with NoSQL databases: DynamoDB, Redis, or MongoDB - data modelling, performance tuning, and operational monitoring General Familiarity with CI/CD pipelines (GitHub Actions, Jenkins, or AWS CodePipeline) Experience with observability tooling: CloudWatch, Datadog, Prometheus, or Grafana Education Level: Bachelor's in computer science/IT preferred (or any engineering field considered) or equivalent. Certifications: AWS Certified DevOps Engineer, Certified Kubernetes Administrator (CKA), or similar certifications. Ability to work effectively with distributed team Must be detail oriented, task driven, and have excellent communication skills. Customer service focus is key. Ability to work effectively with staff, peers, and o

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