Lead Platform Engineer

SymphonyAI; Bengaluru; Hybrid; INR 1,400,000 - 2,200,000; Full time

Benefits offered by this job

Competitive salary and benefits

Flexible hybrid working model

Growth opportunities

Collaborative environment

Access to latest technologies

Job summary

SymphonyAI is seeking an experienced Platform Operations Engineer to manage the IRIS platform across cloud and on‑prem environments. You will lead production operations, implement scalable Kubernetes deployments, and automate infrastructure using Terraform and Ansible.

In this hybrid role, you will partner with customers and services teams, perform monthly security audits, and drive CICD pipelines for multi-cloud deployments, ensuring high availability and compliance.

Qualifications

• 4+ years hands-on with AWS and/or Azure.
• 3+ years with Linux systems.
• 4+ years commercial experience with Kubernetes.
• 2+ years with Docker.
• 4+ years setting up CI/CD pipelines (AzureDevOps or similar).
• 2+ years with automation tools such as Terraform and Ansible.
• 2+ years with cloud such as Azure, AWS or GCP.
• Good knowledge of security practices and testing tools.
• Troubleshooting in production and root cause analysis.
• Agile environment experience.

Responsibilities

• Contribute to IRIS Platform operations road map and execute planned research and development.
• Deploy and manage cloud infrastructure on Azure and AWS using governance standards.
• Lead production operations including incident management, troubleshooting, and root cause analysis.
• Automate IRIS Platform deployments across Azure, AWS and on-premise environments.
• Support multiple installations of the IRIS platform with customers and services teams.
• Conduct monthly audits including vulnerabilities, DAST tests and backups reviews.
• Develop CI/CD pipelines for microservices across environments.
• Implement security best practices to meet compliance requirements.
• Develop and maintain Helm charts for Kubernetes applications.

Skills

AWS & Azure experience

Linux systems

Kubernetes

Docker

CI/CD pipelines

IaC tooling

Security & compliance

Agile environment

Tools

Azure

AWS

Terraform

Ansible

Azure DevOps

Job description

Introduction

Our solutions hosted on our Iris Smart Manufacturing platform combines 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 built using microservices architecture. The applications are containerised and run on Azure Kubernetes service and uses 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

Roles & Responsibilities

• Contribute to the IRIS Platform operations road map and execute planned research and development
• Deploy and manage cloud infrastructure on Azure and AWS using best practices and governance standards.
• 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

Mandatory skills

• 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+ year of experience with automation tools such as Terraform and Ansible
• 2+ year 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 be comfortable doing root cause analysis
• Able to work in an Agile environment

Desirable

• 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

About Us

What We Offer

• 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.