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About the Role

This hybrid role, based in Sydney, Australia, requires a hands-on infrastructure engineer skilled in GCP/AWS cloud operations at scale and a backend engineer capable of building an intelligent, self-improving AI agent layer for Sherlock. You will own core DevOps responsibilities and contribute to leading Sherlock’s knowledge capture pipeline, investigation state machine, accuracy benchmarking, and future capability expansions.

Responsibilities

Build and maintain infrastructure across GCP and AWS, including Compute Engine, GCS, GKE, Cloud SQL, Cloud DNS, VPC, PubSub, ElasticSearch, ScyllaDB, Databricks, Kafka, Sentry, Dagster, Airflow, Vault, Consul, Kong, and more.
Own infrastructure automation with Terraform/Terragrunt, Ansible, and Helm charts.
Drive microservice delivery via Helm charts, GitLab CI/CD pipelines, and ArgoCD.
Partner with Engineering on capacity planning, performance tuning, and production maintenance.
Partner with InfoSec to address production security issues.
Take on-call shifts and contribute to incident response.
Address tough scalability, stability, and observability problems.
Develop the Knowledge Capture agent, including post-approval LLM summarisation, embedding generation, and structured writes to Jira, Notion, and pgvector.
Develop the Investigation state machine application layer, including status transitions, retry logic, and dead-letter handling.
Implement accuracy and speed metrics to drive prompt improvement decisions.
Develop a regression test framework to replay historical investigations and gate prompt changes.
Implement Phase 4 capabilities: Customer Impact agent, Runbook Executor agent, and Zoom transcription ingestion into the Fact-Finding context.

Requirements

5+ years of DevOps/SRE experience in GCP and/or AWS.
Expert in Terraform/Terragrunt, Ansible, Kubernetes, Helm charts, and GitLab CI/CD.
Proven ability to design deployment architecture and maintain high-scale, multi-layer web services on public cloud.
Strong experience with k8s service mesh/ingress, autoscaling, and version upgrades.
4+ years of backend engineering in Python.
LLM API experience: tool use, structured output, multi-turn conversations (Anthropic, OpenAI, Bedrock, or Vertex).
Solid async Python: asyncio, task queues, worker patterns.
Test-driven development approach.
Comfort reading and writing SQL; PostgreSQL preferred.
Computer science or related engineering degree.
Full working rights in Australia.

Skills

GCP
AWS
Terraform
Terragrunt
Ansible
Kubernetes
Helm charts
GitLab CI/CD
Python
LLM APIs
Async Python
SQL
PostgreSQL
Multi-agent system design
pgvector
Slack API
Bolt framework
Jira API
Notion API
Kafka
Elasticsearch
ScyllaDB
Databricks
Dagster
Sentry
Kong

Location

Sydney, Australia

Work Type

Hybrid

Experience Level

5+ years of DevOps/SRE experience
4+ years of backend engineering in Python

Education Level

Computer science or related engineering degree

About the Company

Founded in 2017, Obsidian Security closes the critical gap in securing SaaS applications where modern business happens.
Backed by top investors including Greylock, Norwest Venture Partners, and IVP.
Built a complete SaaS security platform to reduce risk, detect and respond to threats, and prevent breaches at the source.
Team includes leaders who helped define endpoint and identity security categories at CrowdStrike, Okta, Cylance, and Carbon Black.
Transforming how SaaS is secured in the era of agentic AI.
Trusted by global enterprises like Snowflake, T-Mobile, and Pure Storage.
Protects over 200 organizations across North America, Europe, the Middle East, Southeast Asia, Australia, and New Zealand.
Includes many of the world’s largest Fortune 1000 and Global 2000 companies.
Has strong global momentum, a growing partner ecosystem including SentinelOne, Databricks, and Google Cloud, and a major fundraise on the horizon.
Scaling quickly toward long-term growth and IPO readiness.