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Site Reliability Engineer

Everest Global SolutionsBrentwood, TN🇺🇸United StatesPosted 9 Jul 2026

Why This Role Stands Out

This hybrid Site Reliability Engineer role at Everest Global Solutions offers a fantastic opportunity to leverage your deep expertise in Java, Kubernetes, and cloud-native technologies to drive significant impact on a global scale. You'll thrive in this position if you're a seasoned SRE professional with a passion for building resilient, high-performing systems and are eager to contribute to a reputable tech company. Apply today to join a dynamic team and advance your career!

Quick Overview

Work Type
Hybrid
Level
Mid Senior

Job Description

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 (Google Cloud Platform), 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

Skills

Docker
Microservices
MongoDB
SQL
Shell
Spring
Spring Boot
Load Balancing
Nginx
Service Mesh
Splunk
TCP/IP
ArgoCD
Bash
Cassandra
DNS
Datadog
GitLab CI
Google Cloud
Grafana
Helm
Istio
Java
Jenkins
Kafka
Kubernetes
PostgreSQL
Prometheus
Python
Redis
Terraform
VMware

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