Skip to content
CV Rocket
Get started
How it worksThe enginePricingBlogContactSign in

Open nowPosted 30 days ago

Staff Database Reliability Engineer, Open Internet

Lutra11 open roles

Where
Canada
Work mode
Remote
Get the CV for this job

From $25 per CV, paid once. No subscription.

Your applicationOpen nowStaff Database Reliability Engineer, Open InternetLutra · Canada

  1. YouYes, apply to this one.

  2. CV RocketCV written for this posting.

  3. 25 readersRecruiter, hiring manager, skeptic. Round after round.

  4. CV RocketApplied on Lutra's own form.

The reply lands in your private mailbox

3×more interviews than doing it yourself with ChatGPT.

The clock on this job

Early applications get read.

11.8% of postings close within 7 days. Measured by our own scanner across the market.

Share of postings closed within
  1. 2.1%1 day
  2. 4.4%3 days
  3. 11.8%7 days
  4. 18.6%14 days
  5. 35.6%30 days
  6. 45.1%60 days
This job: posted 30 days ago

The posting

Your Opportunity

Our client builds a high throughput system powering hundreds of billions of daily transactions, each completed within milliseconds, across globally distributed infrastructure designed for reliability and efficiency. They have been quietly bootstrapping and growing in line with revenue for over 2 decades. They maintain independence from external stakeholders, enabling them to chart their course, maintain a long-term perspective and build an enduring, sustainable business that currently employs ~600 team members globally.

Data is central to nearly every part of their platform. High-volume event and transactional data powers customer reporting, billing, marketplace analytics, experimentation, machine-learning workflows, and product experiences. The organization is evolving from centralized, batch-oriented reporting toward a platform-driven architecture combining batch, streaming, and asynchronous processing, with APIs becoming a primary interface to data.

Our client has been stubbornly racking and stacking infrastructure around the world for the duration of their existence, a habit that allows for them to price themselves at the cost of electricity while their competitors are mired in rising cloud infrastructure costs. This long-term, somewhat contrarian, thinking puts them in a position to offer stability and career longevity evidenced by robust benefits that include RRSP matching.

This is an IC role for someone who can move comfortably between deep technical problem solving and broader architectural leadership. You’ll help define how database systems are designed, operated, automated, observed, and evolved across the organization. You’ll work closely with platform engineering, infrastructure, software engineering, operations, and data teams to improve reliability and scalability while championing simplicity in a sophisticated technology landscape.

Key Responsibilities

Database architecture & reliability: Design and evolve globally distributed database systems for performance, availability, scalability, and continuity in both bare-metal and cloud environments Technical leadership: Lead complex initiatives, establish technical direction, and influence engineering decisions across teams without relying on direct reporting authority Platform simplification: Identify opportunities to reduce operational complexity and consolidate the database and infrastructure technology footprint Automation: Design and implement automation for provisioning, configuration, deployment, upgrades, testing, maintenance, and database change management use cases Operational excellence: Establish durable practices for operating critical data infrastructure, including monitoring, incident response, capacity planning, maintenance, security, IAM, auditing, and traceability Performance engineering: Diagnose difficult performance and reliability problems across globally distributed, latency-sensitive infrastructure and drive issues through root cause to durable resolution Incident learning: Lead retrospectives and root-cause analysis for significant data-system incidents and convert findings into improvements to tooling, architecture, and operational practices Technical roadmap: Evaluate emerging technologies, develop roadmaps for the data platform, and communicate priorities and trade-offs across engineering and business stakeholders Mentorship: Raise the technical bar for engineers working with data infrastructure through architecture reviews, technical guidance, documentation, and hands-on collaboration

Tech Stack

Databases & data systems: MySQL, MariaDB, Galera, PostgreSQL, Aerospike, Redis, Kafka, StarRocks, Vertica, Trino, Iceberg Infrastructure & orchestration: Kubernetes, bare metal, Terraform, Ansible CI/CD & deployment: Helm, GitLab workflows, ArgoCD Observability: Prometheus, Grafana, Loki Programming & automation: Python, Go, Bash/Shell, Kotlin, Java Adjacent data technologies: Kafka, Spark, Flink, Hadoop, Presto/Trino

Your Know-How

You have 7+ years of experience spanning database reliability engineering, database administration, site reliability engineering focused on data systems, platform engineering, or a comparable infrastructure role You have operated large-scale production database systems where reliability, latency, availability, and performance genuinely matter You bring 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) You have experience deploying and operating stateful systems across Kubernetes and bare-metal infrastructure You understand relational data architecture and can make informed decisions around schema design, replication, availability, performance, scale, and continuity You have strong automation instincts and experience with infrastructure tooling such as Terraform, Ansible, Helm, GitLab CI/CD, ArgoCD, or comparable technologies You can automate infrastructure and operational workflows using Python, Go, Bash/Shell, Java, Kotlin, or another appropriate programming language You have experience building or operating effective observability systems (using technologies such as Prometheus, Grafana, Loki, or equivalent tooling) You understand database change management and have worked with tooling such as Liquibase, Flyway, Alembic, or similar systems You can troubleshoot complex failures across distributed infrastructure, reason from symptoms through multiple layers of a system, and identify root causes rather than treating symptoms You’re comfortable operating at “staff level” (aka setting direction, navigating ambiguity, mentoring other engineers, balancing immediate operational needs against long-term architecture, and influencing teams outside your immediate domain) You can communicate complex technical decisions clearly to both deeply technical colleagues and stakeholders without the same infrastructure background

It’s a bonus if

You have experience operating databases across globally distributed, ultra-low-latency infrastructure You have meaningful experience with streaming and large-scale data technologies such as Kafka, Spark, Flink, Hadoop, Trino/Presto, or Iceberg You’ve operated infrastructure spanning both public cloud and privately operated data centres You have experience simplifying or consolidating a large database technology footprint without compromising reliability or developer productivity You have helped establish security, IAM, auditing, and traceability practices for critical data infrastructure You’ve worked in adtech, financial infrastructure, high-frequency systems, large-scale marketplaces, or another environment where extremely high transaction volume and low latency are fundamental engineering constraints

Interested in learning more?

Please send your resume or LinkedIn profile URL to [email protected] with “Staff Database Reliability Engineer” as the subject line. One of our talent partners will be in contact shortly!

From $25, paid onceGet the CV for this job

What happens when you press

One press. We do the rest.

  1. A CV for this posting

    Written against Lutra's own wording, from every piece of relevant proof in your profile.

  2. 25 readers review it

    Recruiter, hiring manager, skeptic and more read every draft, round after round. You get the best round.

    The review screen in CV Rocket: how each CV was read, round by round.

  3. We apply on Lutra's form

    Our application engine gets through the hardest forms there are. Where a question needs you, AI suggests the best answer. Don't want us applying from our IP addresses? Use our Chrome extension: we apply straight from your own browser.

    An application in CV Rocket: every answer filled in on the employer's form.

  4. Every reply, sorted

    Lutra's answer lands in your private mailbox, and we classify it on arrival: interview, question, rejection.

    The CV Rocket inbox: each employer reply classified as an interview, an action or a rejection.

  5. Reply with AI

    AI helps you write the email, checks it and sends it. We show you whether the recruiter read it.

  6. The interview in your calendar

    Full integration with your calendar. The invitation goes straight in.

    An interview invitation in the CV Rocket inbox, added to the candidate's calendar.
Get the CV for this job

From $25 per CV, paid once. No subscription.

Why it works

3×

more interviews than doing it yourself with ChatGPT.

ChatGPT writes a CV and never learns what happened to it. We see every reply. For each CV we know:

  • How it was written, and how the review scored it
  • When we applied, and how long after the posting went up
  • Which posting, which company, which city
  • Who got the interview, and who heard nothing

That is how we know which CVs get called.

Get the CV for this job

From $25 per CV, paid once. No subscription.

The numbers game

More applications. More interviews.

Every application goes out with its own CV, written for that posting and paid once. Send enough of them and the law of large numbers finds you the job.

Get the CV for this job
By hand5–10
With CV Rocket100
applications a day

Nearby

Live postings like this one

Same employer first, then the same role elsewhere.

Before you press

Straight answers

Get the CV for this job

From $25 per CV, paid once. No subscription.

What if my background isn't good enough?

We make the most of the background you have. The CV uses every piece of relevant proof your profile holds, and one of the 25 readers reads your whole profile and flags what the CV left out.

Do you really apply for me?

Yes, on the employer's own form, the hardest ones included. Where a question needs you, you answer it right there and AI suggests the best answer. Don't want us applying from our IP addresses? Use our Chrome extension: we apply straight from your own browser.

Is it a subscription?

No. You pay once per CV, from $25. Every application goes out with its own CV, written for that posting.

One job. One CV.
Paid once.

Pick the posting you want. We write for it, apply for you and catch the reply.

Get the CV for this job

From $25 per CV, paid once. No subscription.