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
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 G...
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
View more
View less