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Added 1 month ago
WT
Senior Python Engineer – Kafka & Unix
Wissen Technology
Montreal, QC
- Full-time
We are looking for an experienced Python Developer with strong hands-on expertise in Python, Apache Kafka, and Unix/Linux environments. The ideal candidate will develop and maintain…
Added 1 month ago
L
Senior Software Engineer, Data - Mapping
Lyft
Toronto, ON
- Full-time
As a Senior Software Engineer, Data on the Mapping team, you will collaborate with our world-class team of engineers, product managers, and scientists to grow and improve the quality of…
Added 2 months ago
M
Technical Architect
Mphasis
Toronto, ON
- Full-time
We are looking for an experienced MLOPs / LLMOPs Engineer with a strong background in deploying and monitoring machine learning and large language model (LLM) pipelines. The ideal candidate…
Added 1 month ago
PF
Ingénieur·e principal·e en implantation | Senior Implementation Engineer
Power Factors
Brossard, QC
- Full-time
Expérience avec les environnements Linux, Windows et les bases de données SQL
Added 1 month ago
TR
AI Engineer, Product Analytics
Thomson Reuters
Toronto, ON · Canada, Toronto, Ontario
- Full-time
Proficiency in Python and strong SQL, with a solid grounding in programming concepts, design patterns, SDLC principles, and unit testing.
Added 1 month ago
BP
Full-Stack Engineer
Brightpathdigital Pro
Remote, Canada
- $30,000 to $40,000 USD / year
- Contract
- Remote
Design and build scalable backend services using Python and Node.js, with a strong focus on data integrity and reliability.
Added 1 month ago
Full-Stack AI Engineer
Appnovation Technologies
Toronto, ON
As a Full-Stack AI Engineer, you'll transform business ideas into production-ready applications using cutting-edge AI design tools and modern full-stack frameworks. With a strong bias…
Added 1 month ago
C
Senior Data Platform Engineer
Clio
Toronto, ON
- Full-time
We are currently seeking a Senior Data Platform Engineer to join our rapidly growing Security team and help grow our Logging Engineering team. This role is for someone passionate about…
Added 1 month ago
C
Senior Data Platform Engineer
Clio
Canada
- Full-time
We are currently seeking a Senior Data Platform Engineer to join our rapidly growing Security team and help grow our Logging Engineering team. This role is for someone passionate about…
Added 1 month ago
C
Senior Data Platform Engineer
Clio
Calgary, AB
- Full-time
We are currently seeking a Senior Data Platform Engineer to join our rapidly growing Security team and help grow our Logging Engineering team. This role is for someone passionate about…
Added 1 month ago
C
Senior Data Platform Engineer
Clio
Vancouver, BC
- Full-time
We are currently seeking a Senior Data Platform Engineer to join our rapidly growing Security team and help grow our Logging Engineering team. This role is for someone passionate about…
Added 1 month ago
AM
AI and Automation Software Engineer
Advanced Micro Devices, Inc
Vancouver, BC
- Full-time
The AMD NBIO Team is on the lookout for a seasoned Software Engineer to lead our AI and Automation innovation. As a key contributor to the success of AMD’s IP, you will be leading the…
Added 1 month ago
AL
Senior Software Engineer II (ML Ops), Marketplace
Apartment List
Canada
- Full-time
As a Software Engineer on the Marketplace team, you’ll work at the intersection of full-stack product engineering and machine learning operations - helping power the systems that match…
Added 1 month ago
RB
Lead AI Engineer
Royal Bank of Canada
Toronto, ON
- Full-time
Expert proficiency in .NET/C#, Java, Python, SQL, Git, and CI/CD pipelines
Added 1 month ago
RB
Senior AI Engineer
Royal Bank of Canada
Toronto, ON
- Full-time
Proficiency in .NET/C#, Python, SQL, Git, and CI/CD pipelines
Added 1 month ago
PC
Data Engineer
Pyramid Consulting, Inc
ON · Ontario, Canada
- $50 to $60 USD / hour
- Contract
Must have skills: - Python, Apache Spark, SQL, Kafka, Airflow, AWS (S3, Glue, EMR, Redshift), Databricks, ETL/ELT pipelines, data warehousing, PySpark, data modeling, orchestration tools
Added 1 month ago
A
Senior Backend Python Engineer
Apexon
Toronto, ON
- Full-time
🔹 Design and build scalable Python backend services
Added 23 days ago
R
Lead AI Engineer
RBC
Toronto, ON
- Full-time
Expert proficiency in .NET/C#, Java, Python, SQL, Git, and CI/CD pipelines
Added 23 days ago
R
Senior AI Engineer
RBC
Toronto, ON
- Full-time
Proficiency in .NET/C#, Python, SQL, Git, and CI/CD pipelines
Added 1 month ago
VC
AI Engineer
Valsoft Corporation
Remote, Canada
- Full-time
- Remote
ASP.NET MVC · C# · MS SQL · Python · TypeScript · LLM APIs (Anthropic, OpenAI, Gemini) · RAG / Vector DBs · Docker · Kubernetes · Azure / AWS / GCP · REST APIs · WebSockets · HTML/CSS/JS
Added 1 month ago
C
Senior Software Engineer, AI
Calabrio
Remote, Canada
- Remote
Calabrio-Verint is looking for a highly skilled and experienced Senior Software Engineer, AI to perform a key role in our digital transformation program, and deliver exceptional customer…
Added 2 months ago
AM
AI and Automation Software Engineer
Advanced Micro Devices, Inc
Markham, ON
- Full-time
The AMD NBIO Team is on the lookout for a seasoned Software Engineer to lead our AI and Automation innovation. As a key contributor to the success of AMD’s IP, you will be leading the…
Added 1 month ago
S
AI Engineer
Sanofi
Toronto, ON
- Full-time
Strong software engineering and programming skills in Python or Java or other enterprise programming languages SQL/NoSQL query, familiarity with Spark, REST APIs, Golang, NodeJS, Angular,…
Added 1 month ago
UG
Chief Architect - Data Engineering (Databricks Practice)
Unison Group
Toronto, ON
- Full-time
Modern edge - strong Python/SQL/Scala, CI/CD for data platforms, and comfort integrating ML/AI (MLflow, LLM APIs like OpenAI and Anthropic) into what you build
Added 1 month ago
PI
MLOps & Data Engineer
Palitronica Inc.
Waterloo, ON
- $90,000 to $120,000 CAD / year
- Full-time
Palitronica is seeking an MLOps & Data Engineer to develop, maintain, and extend the Python framework and data foundation behind our production machine-learning systems. Models and…

Clio

Senior Data Platform Engineer

Vancouver, BC, Canada

Full-time

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Applications open in a new tab.

Job details

Job type: Full-time
Experience: Proven Senior-level expertise building enterprise-scale logging and data ingestion systems, typically gained over 5+ years of relevant experience
Posting language: English
Posted: Aug 24, 2026

Original job description

Clio is the global leader in legal AI technology, empowering legal professionals and law firms of every size to work smarter, faster, and more securely.

We are transforming the legal experience for all by bettering the lives of legal professionals while increasing access to justice.

Summary:

We are currently seeking a Senior Data Platform Engineer to join our rapidly growing Security team and help grow our Logging Engineering team. This role is for someone passionate about building scalable logging architectures, designing robust data pipelines, and driving security-focused logging automation at scale. You will help lead, support, and implement the technical architecture for our logging infrastructure while making a tangible impact on our security observability.

This role is available to candidates across Canada. If you are local to one of our hubs (Burnaby, Calgary, or Toronto) you will be expected to be in office minimum two days per week for our Anchor Days.

What your team does

Are you someone who's always probing and asking why, someone who enjoys architecting elegant solutions to complex data pipeline challenges? If so, we have a spot for you on Clio's Logging Engineering team! We are looking for candidates to help design and evolve our logging platform architecture, supporting the team with technical leadership for security logging overall. If you have a strong data engineering background with a passion for security and experience building enterprise-scale logging platforms, then we want to talk to you.

A day in the life might look like:

Contributing to the design and architecture of scalable logging infrastructure including data lakes, security lakes, and multi-tier storage strategies
Building and optimizing high-throughput log ingestion pipelines using streaming technologies and cloud-native services
Architecting ELK stack deployments, OpenSearch clusters, and hybrid cloud logging solutions
Designing data retention, lifecycle management, and cost optimization strategies for petabyte-scale log storage
Partnering with the security team lead to develop the logging platform roadmap and technical vision
Building Infrastructure as Code for logging infrastructure provisioning, scaling, and disaster recovery
Optimizing query performance across multiple data stores and implement efficient data partitioning strategies
Designing API and integration layers for log data access, enabling self-service analytics and detection engineering
Contributing to capacity planning, performance tuning, and architectural decisions for the logging platform
Mentoring engineering team members on logging best practices, data architecture, and platform operations

What you may have:

Proven Senior-level expertise building enterprise-scale logging and data ingestion systems, typically gained over 5+ years of relevant experience
Data architecture experience designing data lakes, lake houses, and multi-tier storage architectures for log data
Mastery of big data technologies and processing systems including but not limited to Splunk, OpenSearch, ElasticSearch & the ELK Stack, Map Reduce, Hadoop, Cassandra, and other comparable data ingestion & query systems
Experience in Data Modelling using one or more methodologies like Kimbal, Inmon, or Data Vault for data-at-rest schema normalization
Streaming data expertise with Apache Kafka, Amazon Kinesis, AWS Glue, Azure Event Hubs, or similar real-time ingestion platforms
Cloud storage architecture experience with AWS S3, Azure Data Lake, GCS, and intelligent data tiering strategies
Performance optimization skills for high-volume data ingestion, indexing strategies, and query optimization
Infrastructure as Code proficiency with Terraform, CloudFormation, or similar for logging infrastructure automation
Data pipeline engineering experience with Apache Spark, Flink, or cloud-native data processing services
API and integration design for enabling secure access to log data across multiple consumer applications
Monitoring and observability expertise for logging platform health, performance metrics, and capacity planning
An AI first mentality, where your decision making, coding, and throughput are amplified through your AI usage

Serious bonus points if you have:

Programming proficiency in Python, Ruby, Go, or Scala for custom logging pipeline development and automation
Experience with SQL Data Warehouse Dimensional Modelling using Kimball, Inmon, Business Data Vault or other modelling techniques.
Kubernetes and Container encapsulation for logging architecture within cloud-native application systems.
Security-focused logging experience with SIEM integration, security data lakes, and compliance-driven data retention
Multi-cloud logging architecture designing consistent logging platforms across AWS, Azure, and GCP
Data governance expertise implementing data classification, privacy controls, and regulatory compliance for log data
Advanced analytics platforms experience with Splunk Enterprise, Sumo Logic, or other enterprise logging platforms
Cost optimization expertise for large-scale data storage, implementing intelligent archiving and data lifecycle policies
Technical leadership experience mentoring teams, setting architectural standards, and driving technical strategy

This role is a backfill for an existing position.

What you will find here:

Compensation is one of the main components of Clio’s Total Rewards Program. We have developed a series of programs and processes to ensure we are creating fair and competitive pay practices that form the foundation of our human and high-performing culture.

Some highlights of our Total Rewards program include:

Competitive, equitable salary with top-tier health benefits, dental, and vision insurance
Hybrid work environment, with expectation for local Clions (Vancouver, Calgary, Toronto, Dublin, London, New York City and Sydney) to be in office min. twice per week.
Flexible time off policy, with an encouraged 20 days off per year.
$2000 annual counseling benefit
RRSP matching and RESP contribution
Clioversary recognition program with special acknowledgement at 3, 5, 7, and 10 years

The expected salary range for this role is $157,300 to $212,800 CAD. Initial placement within the range is informed by geographic region, experience, and skillset, with room to progress as impact and tenure grow. Final offer amounts will vary based on candidate profile.

Diversity, Inclusion, Belonging and Equity (DIBE) & Accessibility

Our team shows up as their authentic selves, and are united by our mission. We are dedicated to diversity, equity and inclusion. We pride ourselves in building and fostering an environment where our teams feel included, valued, and enabled to do the best work of their careers, wherever they choose to log in from. We believe that different perspectives, skills, backgrounds, and experiences result in higher-performing teams and better innovation. We are committed to equal employment and we encourage candidates from all backgrounds to apply.

Clio provides accessibility accommodations during the recruitment process. Should you require any accommodation, please let us know and we will work with you to meet your needs.

Learn more about our culture at clio.com/careers

We're a Human and High Performing AI company, meaning we use artificial intelligence to improve all of our operations. In recruitment, AI helps us streamline the process for greater efficiency. However, we've built our systems to ensure that a human always reviews AI-generated output, and we never make automated hiring decisions.

Disclaimer: We only communicate with candidates through official @clio.com email addresses.

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More about this job

Responsibilities

Design and implement scalable logging architectures and high-throughput data pipelines to enhance security observability. Lead the technical vision for the logging platform, including data retention strategies and infrastructure automation.

Requirements

Requires 5+ years of experience building enterprise-scale logging systems and expertise in big data technologies like ELK, Kafka, and cloud storage. Proficiency in Infrastructure as Code and data modeling methodologies is essential.

Skills

Data Architecture
Logging Infrastructure
ELK Stack
OpenSearch
Apache Kafka
Terraform
Python
AWS S3
Data Modeling
Apache Spark
Infrastructure as Code
SIEM Integration
Cloud-native Services
Performance Optimization
API Design
Data Lakehouse

Benefits

Health Insurance
Dental Insurance
Vision Insurance
Flexible Time Off
Counseling Benefit
RRSP Matching
RESP Contribution
Clioversary Recognition Program

Visa sponsorship

Not detected in the job text

Keywords

Splunk
OpenSearch
ElasticSearch
ELK Stack
Map Reduce
Hadoop
Cassandra
Kimball
Inmon
Data Vault
Apache Kafka
Amazon Kinesis
AWS Glue
Azure Event Hubs
AWS S3
Azure Data Lake
GCS
Terraform
CloudFormation
Apache Spark
Flink
Python
Ruby
Go
Scala
SQL
Kubernetes
SIEM
Multi-cloud
Data Governance

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