Our solutions hosted on our Iris Smart Manufacturing platform combine equipment and process domain expertise in Mining & Metals, Oil & Gas, Chemicals & Petrochemicals with the state-of-the-art in data sciences, machine learning, and process optimization. The IRIS platform can work in hybrid mode and is built using microservices architecture. The applications are containerised and run on Azure Kubernetes service and use Azure blob storage, Data Lake, IoT Hub, Event Hub, Event Grid, and Queues. The development team embraces DevOps culture and delivers products using Continuous Delivery principles. You will be key in managing multiple installations of the platform across Cloud and on-premise environments, fixing security vulnerabilities on a monthly basis, conducting audits, and contributing to automation of installations. You will have a great opportunity to work with a world-class team and latest technologies and be able to learn and contribute.
Our solutions hosted on our Iris Smart Manufacturing platform combine equipment and process domain expertise in Mining & Metals, Oil & Gas, Chemicals & Petrochemicals with the state-of-the-art in data sciences, machine learning, and process optimization. The IRIS platform can work in hybrid mode and is built using microservices architecture. The applications are containerised and run on Azure Kubernetes service and use Azure blob storage, Data Lake, IoT Hub, Event Hub, Event Grid, and Queues. The development team embraces DevOps culture and delivers products using Continuous Delivery principles. You will be key in managing multiple installations of the platform across Cloud and on-premise environments, fixing security vulnerabilities on a monthly basis, conducting audits, and contributing to automation of installations. You will have a great opportunity to work with a world-class team and latest technologies and be able to learn and contribute.
Responsibilities
Contribute to the IRIS Platform operations roadmap and execute planned research and development
Deploy and manage cloud infrastructure on Azure and AWS using best practices and governance standards
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Lead production operations, including incident management, troubleshooting, and root cause analysis
Automate so that IRIS Platform is deployable easily across multiple Cloud providers such as Azure and AWS, and on-premise such as K3s and RKE2
Work with customers and Services team to support multiple installations of the IRIS platform
Conduct monthly audits including vulnerabilities, DAST tests, and review of backups, cost and access reviews
Develop CICD pipelines for projects built microservices that would be deployable across multiple environments
Implement security best practices in cloud and on-premise environments to address vulnerabilities and compliance requirements
Develop and maintain Helm charts for packaging and deploying Kubernetes applications
Manage operations of the databases and messaging systems Postgres, Elastic, Redis, and Kafka including configuration, scalability, and backups
Implement auto-scaling of various platform services within the Kubernetes environment
Automate infrastructure provisioning with Terraform, Ansible, or similar IaC tools
Operate Kubernetes clusters, ensuring scalability, reliability, and security
Implement monitoring, logging, and alerting to maintain SLAs and availability targets
Apply security best practices and enforce compliance standards across cloud and deployment pipelines
Be the operations contact point for multiple product teams
Required Skills & Qualifications
4+ years of hands-on experience with AWS and/or Azure
3+ years of experience working with Linux systems
4+ years of commercial experience with Kubernetes
2+ years of experience working with Docker
4+ years of experience setting up CICD pipelines (AzureDevOps or similar)
2+ years of experience with automation tools such as Terraform and Ansible
2+ years of experience with Cloud such as Azure, AWS or GCP
Good knowledge of best security practices, vulnerability management, and testing tools such as Acunetix, Snyk, CheckMarx or Trivy
Troubleshooting problems in Production and comfortable doing root cause analysis
Able to work in an Agile environment
Preferred Skills & Qualifications
Good working or operational knowledge of databases (Postgres, Elastic search, Redis or similar)
Exposure to configuring web servers such as Nginx
Working knowledge of monitoring tools such as Grafana and Prometheus
Working knowledge of a messaging framework such as Event Hub, Kafka, RabbitMQ or similar
Compensation & Benefits
Competitive salary and benefits package
Flexible hybrid working model
Opportunities for professional growth and development
Collaborative and inclusive work environment
Access to the latest technologies and tools
Opportunity to make a tangible impact on cutting-edge Retail/CPG AI solutions
Diversity & Inclusion Statement: We are committed to building a diverse and inclusive team and encourage candidates from all backgrounds to apply.
SymphonyAI is building the leading enterprise AI SaaS company for digital transformation across the most critical and resilient growth industries, including retail, consumer packaged goods, financial crime prevention, manufacturing, media, and IT service management. Since its founding in 2017, SymphonyAI today serves 1500+ Enterprise customers globally and has grown to 3,000 talented leaders, data scientists, and other professionals across over 30 countries.
About SymphonyAI
Artificial Intelligence2500 employeesFounded 2017
Enterprise AI applications for retail, finance, and industrial sectors.
