Java SRE

Job Title : Senior Java SRE - Santa Monica CA

Experience Required : 14 years

Assignment Duration : 12 Months

Engagement Type : Contract

Work Location : Santa Monica CA - Onsite (Hybrid / Initial Remote options depending on end-client)

Key Responsibilities : Architect globally distributed multi-region GCP platforms with 99.99% availability targets.

Define and operationalize SLIs SLOs error budgets and reliability

governance models.

Lead incident command RCA and long-term reliability remediation for

large-scale systems.

Engineer and tune Java-based microservices (JVM internals GC strategies

memory profiling).

Design and operate GKE (Google Kubernetes Engine) at scale including

multi-cluster and fleet management.

Implement GCP-native architectures using :

o GKE Compute Engine Cloud Load Balancing

o Cloud Spanner Bigtable Cloud SQL

o Pub / Sub Cloud Storage

o IAM VPC Service Controls

Build secure and repeatable infrastructure using Terraform and policy-as-

code.

Design advanced service mesh and traffic management using Istio / Anthos

Service Mesh.

Implement stateful Kubernetes workloads using Portworx.

Implement advanced Kubernetes storage using Portworx for stateful

workloads.

Support event-driven architectures using Kafka Kafka Streams KSQLDB

and Spark Streaming.

Integrate GCP-native streaming solutions such as Pub / Sub.

Optimize systems for low-latency high-throughput workloads.

Implement advanced observability using Prometheus Datadog Splunk

Kiali.

Leverage eBPF for kernel-level tracing networking diagnostics and

performance tuning.

Manage advanced ingress load balancing and traffic shaping using Nginx

Controller and Seesaw.

Architect high-scale CI / CD pipelines using GitLab CI / CD Jenkins and GCP-

native tooling.

Build internal developer platforms (PaaS) to standardize deployments and

reduce toil.

Automate operations using Python Go Bash and custom reliability

tooling.

Provide 24 7 production support across U.S. time zones.

Participate in on-call rotations weekend releases and incident war rooms.

Continuously improve monitoring alerting and incident response

maturity.

Required Technical

Expertise :

Java (Advanced JVM internals GC performance tuning)

GCP Cloud (Professional-level depth)

GKE / Kubernetes (CKA / CKS depth)

Docker Terraform

CI / CD : GitLab CI / CD Jenkins

Streaming : Kafka Kafka Streams KSQLDB Spark

Service Mesh : Istio Anthos Service Mesh

Monitoring & Logging : Prometheus Datadog Splunk Kiali

OS & Scripting : Linux / Unix Bash

Programming : Python or Go

Virtualization : VMware

Networking & Performance : eBPF Nginx Controller Seesaw

Multi-cluster Kubernetes governance

Internal platform engineering (PaaS)

High-traffic SaaS or consumer-scale platforms

Real-time streaming & event-driven architectures

Deep observability and kernel-level tracing

GKE fleet & Anthos multi-cluster architectures

JVM performance engineering at hyperscale

Service mesh traffic shaping & zero-downtime releases

eBPF-based observability & kernel tracing

Platform engineering / internal PaaS design

Real-time streaming & event-driven systems

Certifications

Required :

Google Professional Cloud Architect or Professional Cloud DevOps Engineer

Certified Kubernetes Administrator (CKA) or Certified Kubernetes

Key Skills

Corporate Accounting,Facilities Management,Account Development,Accountancy,Jdbc,ITI

Employment Type : Full Time

Experience : years

Vacancy : 1