Staff Database Reliability Engineer

Job not on LinkedIn

đŸ”„ 29 minutes ago

🇹🇩 Canada – Remote

đŸ’” CA$180k - CA$250k / year

⏰ Full Time

âšȘ Entry-level

⛑ DevOps & Site Reliability Engineer (SRE)

đŸš«đŸ‘šâ€đŸŽ“ No degree required

Where this job comes from

Posted on Lutra.'s careers page, not through a job board

First seen by Remote Rocketship 29 minutes ago

Logo of Lutra.

Lutra.

11 - 50 employees

Founded 2006

☁ SaaS

đŸ’Œ Consulting

đŸ€ B2B

💰 $56.7k Grant on 2017-03

SaaS ‱ Consulting ‱ B2B

Lutra is a New Zealand–headquartered engineering and software company focused on water and wastewater treatment. It provides process engineering, optimisation, commissioning support, investigations and training for water and wastewater plants, and develops operations-management software (branded Infrastructure Data / ID) including scheduling and digital forms to help utilities manage compliance, inspections and data. Lutra also produces technical content (videos, case studies) and is exploring AI applications to accelerate its offerings. It serves councils and utilities across New Zealand and Australia and offers both project services and ongoing software solutions.

📋 Description

‱ Design and evolve globally distributed database systems for performance, availability, scalability, and continuity in bare-metal and cloud environments ‱ Lead complex initiatives, establish technical direction, and influence engineering decisions across teams ‱ Identify opportunities to reduce operational complexity and consolidate the database and infrastructure technology footprint ‱ Design and implement automation for provisioning, configuration, deployment, upgrades, testing, maintenance, and database change management ‱ Establish practices for monitoring, incident response, capacity planning, maintenance, security, IAM, auditing, and traceability ‱ Diagnose performance and reliability problems across globally distributed, latency-sensitive infrastructure and drive issues to durable resolution ‱ Lead retrospectives and root-cause analysis for significant data-system incidents ‱ Evaluate emerging technologies, develop data-platform roadmaps, and communicate priorities and trade-offs ‱ Mentor engineers through architecture reviews, technical guidance, documentation, and hands-on collaboration ‱ Collaborate with platform engineering, infrastructure, software engineering, operations, and data teams

🎯 Requirements

‱ 7+ years of experience spanning database reliability engineering, database administration, site reliability engineering focused on data systems, platform engineering, or a comparable infrastructure role ‱ Experience operating large-scale production database systems where reliability, latency, availability, and performance matter ‱ Deep expertise with relational and distributed data systems and meaningful production experience with several technologies such as MySQL, MariaDB, Galera, PostgreSQL, Kafka, Aerospike, Redis, StarRocks, or Vertica ‱ Experience deploying and operating stateful systems across Kubernetes and bare-metal infrastructure ‱ Understanding of relational data architecture, schema design, replication, availability, performance, scale, and continuity ‱ Experience with infrastructure tooling such as Terraform, Ansible, Helm, GitLab CI/CD, ArgoCD, or comparable technologies ‱ Ability to automate infrastructure and operational workflows using Python, Go, Bash/Shell, Java, Kotlin, or another appropriate programming language ‱ Experience building or operating observability systems using Prometheus, Grafana, Loki, or equivalent tooling ‱ Understanding of database change management and experience with Liquibase, Flyway, Alembic, or similar systems ‱ Ability to troubleshoot complex failures across distributed infrastructure and identify root causes ‱ Comfort operating at staff level, including setting direction, navigating ambiguity, mentoring engineers, balancing operational needs against long-term architecture, and influencing teams outside the immediate domain ‱ Ability to communicate complex technical decisions clearly to technical colleagues and stakeholders

đŸ–ïž Benefits

‱ RRSP matching ‱ Career stability and longevity ‱ Independence from external stakeholders ‱ Opportunity to work on globally distributed infrastructure ‱ Opportunity for technical leadership and mentorship

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