11 of 11 Remote Auto-Scaling Jobs

good fit if: You have previously worked with Amazon AWS cloud administration, including services such as: EC2, S3, ELB, RDS, IAM, Route 53, Auto Scaling Groups, Lambda, Cloud Watch, Cloud Formation and Security Groups. You possess expertise in containerisation within Kubernetes and Docker and are familiar with the More ❯

compliance with industry standards and organizational policies. Performance Optimization: Monitor and analyze system performance metrics to identify bottlenecks and optimize resource utilization. Implement auto-scaling and load balancing to ensure high availability and reliability. Disaster Recovery and Business Continuity: Design and implement disaster recovery and business continuity plans More ❯

such as Kubernetes and Docker Perform security hardening and performance tuning for EKS clusters. Develop and maintain Helm charts Optimize Kubernetes resource allocation and autoscaling configurations. Integrate security tools and practices into CI/CD pipelines. Implement Infrastructure as Code (IaC) and Configuration as Code (CaC) using tools like Terraform More ❯

communication skills and a collaborative spirit. Ability to work independently as a self-starter to identify and solve problems. Solid understanding of monitoring, auto-scaling, performance tuning, troubleshooting, and disaster recovery best practices. Experience building and maintaining robust CI/CD pipelines. Proven experience deploying full-stack solutions More ❯

error codes and scripting Experience using AWS services/technologies (e.g. CloudFormation, S3, ECS) Experience with AWS Serverless architectures (lambda, API gateway, load balancing, autoscaling) Experience supporting development testing Experience with cloud-based architectures Understanding of DevSecOps methodologies and workflow Experience developing and managing CI/CD pipelines Knowledge of More ❯

Attunity, GoldenGate, Map Reduce, Hadoop, Hive, Hbase, Cassandra, Spark, Flume, Hive, Impala, etc. Familiarity with Networking, Windows/Linux virtual machines, Container, Storage, ELB, AutoScaling is a plus Experience developing and deploying ETL solutions on Azure Strong in Power BI, Java, C , Spark, PySpark, Unix shell/Perl scripting Familiarity More ❯

essential (high level language, ideally Java or TypeScript). A strong background in the design and implementation of scalable, resilient, cost-effective and auto-scaling architectures. Understanding of Domain-Driven Design and Collaborative modelling. Experience with event-driven architectures/Apache Kafka. Building on the AWS using any More ❯

CD pipelines, Configuration as Code tools like Terraform/Bicep, and containerization (Docker, Kubernetes) for streamlined operations. Design cost-effective architectures, utilizing reserved instances, autoscaling, right-sizing, and cloud financial management tools. Anticipate architectural changes, develop transition strategies, and ensure seamless cloud adoption. Identify, analyze, and resolve cloud infrastructure challenges More ❯

flagging, Assurance criteria and all testing strategies align with company standards. Ensuring systems are well documented and tested for resilience/failover/auto scaling as specified. Building reusable components and front-end libraries for future use. Ensuring high quality software product delivery to timescales with reliable estimates More ❯

modern cloud solutions that can automate the deployment, scaling, and management of distributed environments Optimise the use of Kubernetes for deployment, load balancing, autoscaling, and container management. Work closely with the product team and development team to translate requirements into high-quality technical solutions. Lead and support a team More ❯

Bash. Willingness to learn and present new things; we are a rapidly growing team. Strong experience of working in a cloud-first environment with autoscaling policies. Experience working in a fast-paced and dynamic working environment. Prior experience working with dynamic data. Experience with ticketing systems such as JIRA and More ❯