Lead Platform Engineer

Introduction

Job Title: Lead Platform Engineer

Overview:

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.

Job Description

Responsibilities:

Contribute to the IRIS Platform operations roadmap and execute planned research and developmentDeploy and manage cloud infrastructure on Azure and AWS using best practices and governance standardsLead production operations, including incident management, troubleshooting, and root cause analysisAutomate so that IRIS Platform is deployable easily across multiple Cloud providers such as Azure and AWS, and on-premise such as K3s and RKE2Work with customers and Services team to support multiple installations of the IRIS platformConduct monthly audits including vulnerabilities, DAST tests, and review of backups, cost and access reviewsDevelop CICD pipelines for projects built microservices that would be deployable across multiple environmentsImplement security best practices in cloud and on-premise environments to address vulnerabilities and compliance requirementsDevelop and maintain Helm charts for packaging and deploying Kubernetes applicationsManage operations of the databases and messaging systems Postgres, Elastic, Redis, and Kafka including configuration, scalability, and backupsImplement auto-scaling of various platform services within the Kubernetes environmentAutomate infrastructure provisioning with Terraform, Ansible, or similar IaC toolsOperate Kubernetes clusters, ensuring scalability, reliability, and securityImplement monitoring, logging, and alerting to maintain SLAs and availability targetsApply security best practices and enforce compliance standards across cloud and deployment pipelinesBe the operations contact point for multiple product teams

Required Skills & Qualifications:

4+ years of hands-on experience with AWS and/or Azure3+ years of experience working with Linux systems4+ years of commercial experience with Kubernetes2+ years of experience working with Docker4+ years of experience setting up CICD pipelines (AzureDevOps or similar)2+ years of experience with automation tools such as Terraform and Ansible2+ years of experience with Cloud such as Azure, AWS or GCPGood knowledge of best security practices, vulnerability management, and testing tools such as Acunetix, Snyk, CheckMarx or TrivyTroubleshooting problems in Production and comfortable doing root cause analysisAble 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 NginxWorking knowledge of monitoring tools such as Grafana and PrometheusWorking knowledge of a messaging framework such as Event Hub, Kafka, RabbitMQ or similar

Compensation & Benefits:

Competitive salary and benefits packageFlexible hybrid working modelOpportunities for professional growth and developmentCollaborative and inclusive work environmentAccess to the latest technologies and toolsOpportunity 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.

About Us

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.