Site Reliability Engineer - (SRE ) with Java

Key Responsibilities: • Design, build, and operate highly available, fault-tolerant distributed

systems supporting enterprise retail platforms.

* Lead Site Reliability Engineering (SRE) initiatives including SLIs, SLOs, error

budgets, capacity planning, and operational excellence.

* Provide L3/L4 production support, incident management, root cause

analysis (RCA), and post-incident remediation.

* Support large-scale Java/Spring Boot microservices deployed on

Kubernetes.

* Design and manage production workloads on Google Kubernetes Engine

(GKE).

* Implement Infrastructure-as-Code using Terraform.

* Automate infrastructure provisioning, deployment, scaling, and policy

enforcement.

* Design and maintain enterprise CI/CD pipelines using GitLab CI/CD,

Jenkins, Cloud Build, and GitOps methodologies.

* Build deployment automation for zero-downtime releases using Blue-

Green and Canary deployment strategies.

* Implement advanced observability using Prometheus, Grafana, Datadog,

Splunk, OpenTelemetry, and Cloud Monitoring.

* Develop operational automation using Python, Go, Bash, and cloud-native

tooling.

* Optimize JVM performance including Garbage Collection tuning, heap

analysis, thread dumps, and application profiling.

* Support Kafka-based event-driven retail systems handling inventory, order

processing, customer events, and payment processing.

* Manage Kubernetes networking, Ingress Controllers, service mesh (Istio),

storage, autoscaling, and multi-cluster deployments.

* Build resilient disaster recovery and business continuity strategies across

multiple GCP regions.

* Enforce enterprise security controls including IAM, Secret Manager,

Workload Identity, Binary Authorization, and least-privilege access.

* Support compliance initiatives including PCI-DSS, SOC2, ISO 27001, GDPR,

and internal security standards.

* Participate in production support rotation, weekend deployments,

maintenance windows, and on-call responsibilities.

Required Technical

Expertise:

* 10+ years of hands-on experience in Java application development,

production engineering, and Site Reliability Engineering (SRE).

* Strong expertise in Core Java, Java 11/17+, Spring Boot, Spring Cloud,

Microservices, JVM Internals, Garbage Collection (GC) tuning, and

multithreading.

* Extensive experience with Google Cloud Platform (GCP), including Google

Kubernetes Engine (GKE), Compute Engine, Cloud Storage, Cloud SQL, Pub/Sub, IAM, VPC, Cloud Monitoring, Cloud Logging, Secret Manager, and

Cloud Load Balancing.

* Expert-level experience administering and troubleshooting Kubernetes

production environments, including cluster management, networking,

autoscaling, RBAC, storage, Helm, Ingress Controllers, and service mesh

technologies.

* Hands-on experience with Docker, container orchestration, and

Infrastructure as Code (IaC) using Terraform.

* Strong experience building and maintaining enterprise CI/CD pipelines

using GitLab CI/CD, Jenkins, GitOps, and cloud-native deployment tools.

* Experience implementing and supporting zero-downtime deployment

strategies, including Blue-Green and Canary deployments.

* Strong proficiency in Linux/Unix administration, shell scripting (Bash), and

operational automation using Python or Go.

* Hands-on experience with Kafka, Kafka Streams, Pub/Sub, or other event-

driven messaging platforms supporting high-volume distributed systems.

* Experience implementing enterprise monitoring, logging, and observability

solutions using Prometheus, Grafana, Datadog, Splunk, OpenTelemetry,

Cloud Monitoring, and Kiali.

* Strong understanding of networking concepts, including TCP/IP, DNS, Load

Balancers, NGINX, Ingress Controllers, TLS/SSL, and Service Mesh (Istio).

* Experience supporting highly available, scalable, and mission-critical

production environments with 24x7 operational responsibilities.

* Strong experience performing production incident management, RCA

(Root Cause Analysis), performance tuning, capacity planning, and

reliability engineering.

* Experience with enterprise security best practices, including IAM, Secret

Manager, RBAC, least-privilege access, vulnerability remediation, and

container security.

* Experience supporting environments compliant with PCI-DSS, SOC2, SOX,

ISO 27001, or similar regulatory frameworks.

* Prior experience supporting large-scale retail, eCommerce, omnichannel,

supply chain, order management, inventory management, or payment

processing platforms.

* Excellent troubleshooting, analytical, communication, and stakeholder

management skills.

* Experience with Anthos, ArgoCD, Cloud Build, Cloud Deploy, Redis,

PostgreSQL, MongoDB, and Cassandra.

* Experience with eBPF, distributed tracing, performance engineering, and

advanced observability.

* Exposure to VMware, disaster recovery planning, chaos engineering, and

multi-region Kubernetes deployments.

* Experience leading SRE initiatives, mentoring engineering teams, and

driving operational excellence in enterprise environments.

Certifications

Required:

* Google Professional Cloud Architect OR Google Professional Cloud DevOps

Engineer

* Certified Kubernetes Administrator (CKA) OR Certified Kubernetes Security