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ForgeRock SRE

Georgia IT
Jersey, NJ Full Time
POSTED ON 4/2/2025
AVAILABLE BEFORE 6/2/2025

Job Details

ForgeRock SRE

Whippany, NJ (Hybrid onsite 3 days a week)

Duration: 6 months

Rate: DOE

  • Designing, implementing, deploying, and running highly available, fault-tolerant, auto-scaling, and auto-healing systems
  • Deep expertise in AWS, Azure, and Google Cloud Platform, including Kubernetes (EKS, ECS, Fargate, GKE) and serverless architectures
  • Implementing advanced monitoring (Prometheus, Grafana, Datadog, ELK), tracing, logging, and automated alerting solutions. Scaling distributed systems, optimizing compute/storage efficiency, and cost management. Designing failure simulations to improve system robustness and incident response. I am an expert in AWS CLI, CloudFormation, Ansible, Helm, and GitOps for automated infrastructure provisioning. Driving reliability best practices across engineering teams, embedding SRE principles into the DevSecOps lifecycle. Partnering with engineering, security, and product teams to balance reliability and feature velocity. Expertise in CIAM, ForgeRock stack (Ping Gateway, PingAM, PingIDM, PingDS) with certification or proof of completion of ForgeRock Deep-Dive 400 training.
  • Building and mentoring high-performing SRE teams, fostering a culture of automation and innovation.
  • Defining and enforcing reliability metrics to balance innovation with system stability.
  • Optimizing deployment pipelines for high-frequency, zero-downtime releases.
  • Leveraging machine learning for anomaly detection, predictive scaling, and automated remediation.

  • 5 years experience in hands-on configuration, deployment, and running ForgeRock COTS-based IAM solutions (Ping Gateway, PingAM, PingIDM, PingDS) with automated GitOps CI/CD pipelines using GitLab.
  • Design and hands-on implementation of GitOps CI/CD pipelines, automated failover, and data backup and restore solutions
  • Automating telemetry and dashboards. 10 years experience in Running Disaster Recovery, zero downtime deployment solutions. Designing and implementing continuous delivery.
  • Hands-on coding in Python, Bash, and JSON/Yaml (CaC).
  • Supporting large-scale, distributed, cloud-based micro service and API service solutions with 99.9% uptime.
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