Senior DataOps Engineer IT & Data Development

01.tech; Victoria; Remote; AUD 120,000 - 180,000; Full time

Benefits offered by this job

Medical insurance

Annual benefits allowance

Professional training reimbursement

Corporate digital library

Psychologist sessions

Relocation assistance

Remote or office option

Job summary

01.tech is looking for a senior DataOps/DevOps engineer to build and operate a clustered ClickHouse-based data platform in Australia. You will deploy, scale and maintain ClickHouse clusters in production, and automate infrastructure while implementing role-based access across databases.

The role involves working with Snowflake, PostgreSQL, and other systems, optimizing costs, tuning Linux performance, and contributing to security, networking, and storage improvements.

Qualifications

• 5+ years in DevOps, SRE, or DataOps.
• Deep hands-on ClickHouse production experience.
• Understanding of distributed systems, networking, storage, and performance.
• Experience with Linux/*nix performance tuning.
• Automation experience with Python and/or Go.
• Cybersecurity/AppSec concepts, technologies, and tools.
• Hands-on experience with Karpenter.
• Experience with AWS cost optimization using Kubecost, Infracost, AWS tagging, or similar approaches.
• Experience with ingress, load balancing, and traffic termination using Traefik, Istio, Nginx, and SSL/TLS.
• Experience with identity management solutions such as Authentik, Keycloak, Okta, or similar tools.
• Experience with VPN solutions such as Pritunl, OpenVPN, WireGuard, Fortinet, or similar technologies.
• Deep understanding of at least one analytical database, MPP system, or distributed query engine such as ClickHouse, StarRocks, Trino, Greenplum, Doris, DuckDB, or Vertica.

Responsibilities

• Build a clustered on-premise ClickHouse setup for our cloud infrastructure.
• Deploy, scale, and maintain ClickHouse clusters in production.
• Develop and evolve database-related infrastructure across the Data platform.
• Automate infrastructure processes and build internal tooling.
• Develop and integrate role-based access models across ClickHouse, Snowflake, PostgreSQL, and other databases.
• Establish naming conventions and user role models for database environments.
• Work with MPP and distributed query technologies (Trino, Greenplum, Vertica, StarRocks, etc.).
• Improve the performance, reliability, and scalability of Data infrastructure.
• Troubleshoot complex production issues across infrastructure, OS, networking, and storage.

Skills

ClickHouse

Karpenter

Python

Go

Linux performance

Distributed systems

Networking & storage

AWS cost optimization

Security concepts

Tools

Traefik

Istio

Nginx

SSL/TLS

Job description

• Build a clustered on-premise ClickHouse setup for our own cloud infrastructure
• Deploy, scale, and maintain ClickHouse clusters in production
• Develop and evolve database-related infrastructure across the Data platform
• Automate infrastructure processes and build internal tooling
• Develop and integrate role-based access models across ClickHouse, Snowflake, PostgreSQL, and other databases
• Establish naming conventions and user role models for database environments
• Work with MPP and distributed query technologies, including Trino, Greenplum, Vertica, StarRocks, and others
• Improve the performance, reliability, and scalability of Data infrastructure
• Troubleshoot complex production issues across infrastructure, operating systems, networking, and storage

Requirements

• 5+ years of experience in DevOps, SRE, or DataOps
• Deep hands-on expertise with ClickHouse in production environments
• Strong understanding of distributed systems, networking, storage, and performance
• Experience with production troubleshooting and low-level Linux / *nix performance tuning
• Experience building automation and internal tooling, preferably with Python and/or Go
• Deep understanding of core Cybersecurity / AppSec concepts, technologies, and tools
• Hands-on experience with Karpenter
• Experience with AWS cost optimization using Kubecost, Infracost, AWS tagging, or similar approaches
• Experience with ingress, load balancing, and traffic termination using Traefik, Istio, Nginx, and SSL/TLS
• Experience with identity management solutions such as Authentik, Keycloak, Okta, or similar tools
• Experience with VPN solutions such as Pritunl, OpenVPN, WireGuard, Fortinet, or similar technologies
• Deep understanding of at least one analytical database, MPP system, or distributed query engine such as ClickHouse, StarRocks, Trino, Greenplum, Doris, DuckDB, or Vertica
• The opportunity to work on large-scale products and contribute to their development
• A flexible work environment built on autonomy, ownership, and trust, without micromanagement
• The option to work fully remotely or from a modern office
• Medical insurance coverage in countries where the company operates
• An annual $2,000 benefits allowance after the probation period, which can be used for health insurance upgrades, language learning, and sports activities
• Partial reimbursement for professional training, courses, and participation in industry conferences
• Access to a corporate digital library
• Company-funded weekly online sessions with a psychologist
• Relocation opportunities to countries where the company has offices, with relocation assistance available after the probation period, subject to approval