About the DevOps / SRE Team

The 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 Youll Do

Platform Reliability

• Support and maintain the service quality of our customer-facing SaaS security platform
• Address complex challenges around scalability reliability observability and cost efficiency
• Collaborate with Engineering teams to maintain and enhance Helm charts application deployment monitoring and CI/CD pipelines
• Embed into the engineering team so that you understand the application deeply
• Define service verification strategies and implement them as part of the CI/CD process to meet SLAs
• Improve developer experience by optimizing CI/CD workflows and performance
• Participate in the on-call rotation providing 24/7 support in coordination with our global SRE team
• Monitor debug and optimize production infrastructure and services on AWS/GCP
• Own 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 signals

AI SRE Agent (Sherlock)

• Own the Kubernetes infrastructure for Sherlock: five independently-scaled worker pools each tuned for its agents compute profile with HPA autoscaling
• Design and maintain the CloudSQL schema migration pipeline task queue (SKIP LOCKED) and pgvector IVFFlat index for 1000 RCA entries
• Build Grafana dashboards covering queue depth worker latency agent error rates accuracy trends and P50/P95 speed
• Own 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 Sherlocks GKE node pools
• By month 3 serve as the primary on-call engineer for all Sherlock infrastructure

What Were Looking For

Required

• 4 years of experience in a DevOps or SRE role supporting SaaS services on GCP and/or AWS
• Bachelors degree in Computer Science or related field
• Production Kubernetes experience: authored and owns Deployments HPAs and resource limits not just applied YAML
• Strong proficiency in Kubernetes microservices architecture Helm GitLab CI/CD and ArgoCD
• Deep 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 microservices
• PostgreSQL fluency: schema design indexing migrations and query optimisation
• Async / queue-based architecture experience: debugged stuck queues consumer lag and duplicate processing
• Programming proficiency in Python or Go
• Strong ownership mindset and comfort with production on-call responsibility

Highly Desired

• GCP expertise: Cloud SQL GKE IAM Pub/Sub
• pgvector or other vector database experience
• CI/CD pipeline ownership (GitLab CI or GitHub Actions)
• Familiarity with LLM APIs (Anthropic Bedrock or Vertex)
• Understanding of AI agent design patterns and frameworks
• Experience with Kafka Elasticsearch ScyllaDB Databricks Dagster Sentry or Kong