SymphonyAI - Senior Site Reliability Engineer - Azure/Oracle Cloud

About the job :

Introduction :

You will work on world-class retail supply chain solutions, deploying and running enterprise applications, including GPU-powered AI/ML products, on Azure and Oracle Cloud. These applications run 24/7 and are business-critical : warehouses and stores depend on them for daily operations. In this cloud and SRE role, you will own their reliability : defining and meeting SLOs, responding fast to incidents, troubleshooting end to end, and engineering out recurring problems through automation.

Key responsibilities :

- Own the reliability of business-critical retail supply chain applications on Azure and Oracle Cloud, used 24/7 by warehouses and stores.

- Define and track SLIs and SLOs with product and application teams, using error budgets to balance reliability and release speed.

- Build observability (metrics, logs, traces, dashboards, and actionable alerts) using tools such as Prometheus, Grafana, and Zabbix.

- Provide 24/7 L2/L3 support, act as incident commander on major incidents, and lead root cause analysis and blameless post-incident reviews.

- Troubleshoot end to end across Cloudflare, HAProxy, network, Linux, Docker, Apache TomEE/Java, APIs, and Oracle Database, and quickly isolate the failing layer.

- Diagnose Java application issues using thread dumps, heap dumps, GC logs, and APM traces.

- Perform first-level Oracle Database triage and escalate to the DBA team with clear diagnostics.

- Build and deploy cloud infrastructure (networks, VMs, containers, VPN, ExpressRoute, FastConnect) using Terraform and Ansible.

- Automate away toil, such as deployments, health checks, failover, and routine maintenance, with Python and Bash.

- Plan capacity, tune performance, and test high availability and disaster recovery through regular failover drills.

- Plan and execute production changes with minimal downtime and tested rollback, and maintain runbooks.

Must-have :

- 5 - 10 years in SRE, cloud infrastructure, or production operations, including at least 3 years running production workloads on Azure or OCI.

- Strong cloud expertise (Azure or OCI) across networking (VNet/VCN, VPN, ExpressRoute/FastConnect), compute, storage, and IAM.

- Strong Linux administration (RHEL, Ubuntu) and hands-on Docker experience.

- Hands-on Terraform, Ansible, and Python/Bash automation in production environments.

- Practical SRE experience : SLIs/SLOs, error budgets, toil reduction, 24/7 incident management, and blameless post-incident reviews.

- Experience with observability and APM tools (e.g., Prometheus, Grafana, Zabbix, ELK, Dynatrace, AppDynamics, or New Relic).

- End-to-end troubleshooting across networking (TCP/IP, DNS, SSL/TLS), HAProxy or similar load balancers, Java on TomEE/Tomcat, REST APIs, and Oracle Database at triage level.

- Willingness to work in a 24/7 rotational shift and on-call model.

Good-to-have :

- Cloud certifications (Azure, OCI, or AWS).

- Experience with Cloudflare (DNS, WAF, CDN, caching rules).

- CI/CD pipelines (e.g., Jenkins, GitHub Actions, or Azure DevOps) with canary or blue-green releases.

- Exposure to Kubernetes or other container orchestration platforms.

- Chaos engineering or game-day exercises to test resilience.

- GPU-based compute supporting AI/ML workloads.

- Retail or supply chain domain exposure, ITIL familiarity, and strong written and verbal communication.

Growth opportunities :

- Learning opportunities with multi-cloud environments.

- Scope to deepen expertise in Oracle Cloud (OCI) and Azure in large production environments.

- Opportunity for cross-skilling (retail products, multi-cloud, DevOps, orchestration tools, scripting, and company AI trainings) and enhancing skills to stay competitive in the future.