SymphonyAI - Senior Site Reliability Engineer - Azure/Oracle Cloud
Senior SRE owning reliability of business-critical 24/7 retail supply chain applications, including GPU-powered AI/ML products, on Azure and Oracle Cloud. Day to day: defining SLIs/SLOs, L2/L3 incident command and postmortems, building observability (Prometheus/Grafana/Zabbix), and automating infrastructure and toil with Terraform, Ansible, Python, and Bash.
- Compensation
- Not disclosed
- Location
- Bangalore
- Work setup
- Not specified
- Seniority
- Senior
- Employment
- Not specified
- Experience
- 3+ years
- Category
- Sre
- Posted
Skills
Must have
- 5-10 years in SRE, cloud infrastructure, or production operations, with 3+ years running production workloads on Azure or OCI
- Strong cloud expertise (Azure or OCI): networking (VNet/VCN, VPN, ExpressRoute/FastConnect), compute, storage, 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, blameless post-incident reviews
- Experience with observability and APM tools (Prometheus, Grafana, Zabbix, ELK, Dynatrace, AppDynamics, or New Relic)
- End-to-end troubleshooting: networking (TCP/IP, DNS, SSL/TLS), HAProxy, Java on TomEE/Tomcat, REST APIs, Oracle Database triage
- Willingness to work 24/7 rotational shifts and on-call
Nice to have
- Cloud certifications (Azure, OCI, or AWS)
- Experience with Cloudflare (DNS, WAF, CDN, caching rules)
- CI/CD pipelines (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
- GPU-based compute supporting AI/ML workloads
- Retail or supply chain domain exposure, ITIL familiarity, strong communication
Full description
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.