Founded in ****, Obsidian Security was created to close a critical gap: securing the SaaS applications where modern business happens—platforms like Microsoft 365, Salesforce, and hundreds more.
Backed by top investors including Greylock, Norwest Venture Partners, and IVP, we've built a complete SaaS security platform to reduce risk, detect and respond to threats, and prevent breaches at the source.
Our team includes leaders who helped define the categories of endpoint and identity security at CrowdStrike, Okta, Cylance, and Carbon Black.
Now, we're transforming how SaaS is secured—in the era of agentic AI.
Today, Obsidian is trusted by global enterprises like Snowflake, T-Mobile, and Pure Storage.
We protect more than 200 organizations across North America, Europe, the Middle East, Southeast Asia, Australia, and New Zealand—including many of the world's largest Fortune **** and Global **** companies.
With robust global momentum, a growing partner ecosystem including SentinelOne, Databricks, and Google Cloud, and a major fundraise on the horizon, we're scaling quickly toward long-term growth and IPO readiness.
Join us as we define the future of SaaS security!
About the DevOps / SRE TeamThe DevOps/SRE team at Obsidian ensures that engineering excellence translates into stable, scalable, and high-performing production systems.
We work closely with Engineering, Quality Engineering, and Customer Support to deliver end-to-end services that bring code to life and maintain our world-class SaaS security platform.As part of our Sydney team, you will also play a foundational role in building Sherlock — our AI-powered SRE agent — owning the infrastructure that enables autonomous incident detection, root cause analysis,



and remediation at scale.What You'll DoPlatform ReliabilitySupport and maintain the service quality of our customer-facing SaaS security platformAddress complex challenges around scalability, reliability, observability, and cost efficiencyCollaborate with Engineering teams to maintain and enhance Helm charts, application deployment, monitoring, and CI/CD pipelinesEmbed into the engineering team so that you understand the application deeplyDefine service verification strategies and implement them as part of the CI/CD process to meet SLAsImprove developer experience by optimizing CI/CD workflows and performanceParticipate in the on-call rotation, providing 24/7 support in coordination with our global SRE teamMonitor, debug, and optimize production infrastructure and services on AWS/GCPOwn and evolve the observability stack: design and maintain Prometheus/Mimir metrics pipelines, Grafana dashboards, Loki log aggregation, and distributed tracing (e.g. Tempo, Jaeger, or OpenTelemetry)Define and instrument SLIs/SLOs across services; build alerting strategies that reduce noise and surface actionable signalsAI SRE Agent (Sherlock)Own the Kubernetes infrastructure for Sherlock: five independently-scaled worker pools, each tuned for its agent's compute profile with HPA autoscalingDesign and maintain the CloudSQL schema, migration pipeline, task queue (SKIP LOCKED),



and pgvector IVFFlat index for 1,000+ RCA entriesBuild Grafana dashboards covering queue depth, worker latency, agent error rates, accuracy trends, and P50/P95 speedOwn and maintain the benchmark CI gate in GitLab that blocks any prompt version merge regressing accuracy >5% or speed >15%Deliver capacity planning and cost dashboards for Sherlock's GKE node poolsBy month 3, serve as the primary on-call engineer for all Sherlock infrastructureWhat We're Looking ForRequired4+ years of experience in a DevOps or SRE role supporting SaaS services on GCP and/or AWSBachelor's degree in Computer Science or related fieldProduction Kubernetes experience: authored and owns Deployments, HPAs, and resource limits — not just applied YAMLStrong proficiency in Kubernetes, microservices architecture, Helm, GitLab CI/CD, and ArgoCDDeep hands-on experience with the Grafana observability stack: Prometheus/Mimir (metrics), Loki (logs), and distributed tracing (Tempo, Jaeger, or OpenTelemetry)Ability to design SLI/SLO frameworks, build alerting rules, and reduce alert fatigue across complex microservicesPostgreSQL fluency: schema design, indexing, migrations, and query optimisationAsync / queue-based architecture experience: debugged stuck queues, consumer lag, and duplicate processingProgramming proficiency in Python or GoStrong ownership mindset and comfort with production on-call responsibilityHighly DesiredGCP expertise: Cloud SQL, GKE, IAM, Pub/Subpgvector or other vector database experienceCI/CD pipeline ownership (GitLab CI or GitHub Actions)Familiarity with LLM APIs (Anthropic, Bedrock, or Vertex)Understanding of AI agent design patterns and frameworksExperience with Kafka, Elasticsearch, ScyllaDB, Databricks, Dagster, Sentry, or Kong

📌 Ai Site Reliability Engineer (Sre) (New South Wales)
🏢 Obsidian Security
📍 New South Wales