
11 - 50 employees
Founded 2006
âïž SaaS
đŒ Consulting
đ€ B2B
đ° $56.7k Grant on 2017-03
SaaS âą Consulting âą B2B
Lutra is a New Zealandâheadquartered 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.
đ„ 29 minutes ago
đšđŠ Canada â Remote
đ” CA$180k - CA$250k / year
â° Full Time
âȘïž Entry-level
â DevOps & Site Reliability Engineer (SRE)
đ«đšâđ No degree required
đ» Ghost score 0%
Where this job comes from
Posted on Lutra.'s careers page, not through a job board
First seen by Remote Rocketship 29 minutes ago

11 - 50 employees
Founded 2006
âïž SaaS
đŒ Consulting
đ€ B2B
đ° $56.7k Grant on 2017-03
SaaS âą Consulting âą B2B
Lutra is a New Zealandâheadquartered 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.
âą Design and evolve globally distributed database systems for performance, availability, scalability, and continuity in bare-metal and cloud environments âą Lead complex initiatives, establish technical direction, and influence engineering decisions across teams âą Identify opportunities to reduce operational complexity and consolidate the database and infrastructure technology footprint âą Design and implement automation for provisioning, configuration, deployment, upgrades, testing, maintenance, and database change management âą Establish practices for monitoring, incident response, capacity planning, maintenance, security, IAM, auditing, and traceability âą Diagnose performance and reliability problems across globally distributed, latency-sensitive infrastructure and drive issues to durable resolution âą Lead retrospectives and root-cause analysis for significant data-system incidents âą Evaluate emerging technologies, develop data-platform roadmaps, and communicate priorities and trade-offs âą Mentor engineers through architecture reviews, technical guidance, documentation, and hands-on collaboration âą Collaborate with platform engineering, infrastructure, software engineering, operations, and data teams
âą 7+ years of experience spanning database reliability engineering, database administration, site reliability engineering focused on data systems, platform engineering, or a comparable infrastructure role âą Experience operating large-scale production database systems where reliability, latency, availability, and performance matter âą 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 âą Experience deploying and operating stateful systems across Kubernetes and bare-metal infrastructure âą Understanding of relational data architecture, schema design, replication, availability, performance, scale, and continuity âą Experience with infrastructure tooling such as Terraform, Ansible, Helm, GitLab CI/CD, ArgoCD, or comparable technologies âą Ability to automate infrastructure and operational workflows using Python, Go, Bash/Shell, Java, Kotlin, or another appropriate programming language âą Experience building or operating observability systems using Prometheus, Grafana, Loki, or equivalent tooling âą Understanding of database change management and experience with Liquibase, Flyway, Alembic, or similar systems âą Ability to troubleshoot complex failures across distributed infrastructure and identify root causes âą 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 âą Ability to communicate complex technical decisions clearly to technical colleagues and stakeholders
âą RRSP matching âą Career stability and longevity âą Independence from external stakeholders âą Opportunity to work on globally distributed infrastructure âą Opportunity for technical leadership and mentorship
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