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Added 2 hours ago
K
Senior Manager - Senior Tech Lead – AI & Technology Transformation
KPMG
Montreal, QC
- Full-time
Relevant technical education (computer science, software engineering, data science, or a related field), combined with strong business acumen and the ability to communicate complex concepts…
Added 3 hours ago
HT
Industrial Software Validation
Husky Technologies
Bolton, ON
- Full-time
BS or Ms in Electrical , Software, Mechatronics or Mechanical Engineering
Added 5 hours ago
V
Senior Software Engineer (Rust)
Varonis
Vancouver, BC
- Full-time
The Role: We’re looking for a Senior Software Engineer who is deeply hands‑on, highly technical, and exceptional at building production systems end‑to‑end to join an engineering team whose…
Added 5 hours ago
V
QA Engineer
Varonis
Vancouver, BC
- Full-time
…our AI-driven systems. You will work closely with developers, DevOps, and product teams to validate production-grade pipelines, backend services, and integrations with core security…
Added 7 hours ago
AI
Java Fullstack Developer – AWS & Capital Markets
Astra-North Infoteck Inc. ~ Conquering today’s challenges, achieving tomorrow’s vision!
Toronto, ON
- Full-time
SENIOR SOFTWARE ENGINEER – JAVA, SPRING BOOT, REACT, AWS & CAPITAL MARKETS
Added 7 hours ago
CC
Senior Salesforce Engineer
Canadian Cancer Society
Toronto, ON · Ottawa, ON · Montreal, QC · Quebec, QC · Prince George, BC · Vancouver, BC · Kelowna, BC · Halifax, NS · Calgary, AB
- Full-time
Oversee architecture and engineering decisions to ensure AI solutions are scalable, secure, maintainable, and aligned to enterprise standards, responsible AI, and least-privilege access.
Added 7 hours ago
CC
Senior Manager, Salesforce Platform Architecture & Development
Canadian Cancer Society
Toronto, ON · Ottawa, ON · Montreal, QC · Quebec, QC · Prince George, BC · Vancouver, BC · Kelowna, BC · Halifax, NS · St. John's, NL · Calgary, AB
- Full-time
…collaborating closely with cross-functional teams including Engineering, Security, Product, Sales, Marketing, and Customer…
Added 8 hours ago
A
Customer Support Developer (Databases)
Airbyte
Remote, Canada
- $101,000 to $110,000 CAD / year
- Full-time
- Remote
Are you the kind of developer who gets a rush from cracking a gnarly replication bug, an issue with CDC implementation, or a query that hangs with no obvious reason? Do you thrive at the…
Added 9 hours ago
HT
Industrial Software Validation
Husky Technologies
Bolton, ON
- Full-time
BS or Ms in Electrical , Software, Mechatronics or Mechanical Engineering
Added 9 hours ago
IF
Senior Security Advisor (DevSecOps) - Detection Engineering
Intact FC
Montreal, QC · Laval, QC · Saint-Hyacinthe, QC
- Full-time
Intact Insurance is seeking an experienced Senior Security Advisor to strengthen its Detection Engineering in cyber defence team. This role focuses on cloud and infrastructure security,…
Added 10 hours ago
RB
Senior MuleSoft Integration Developer
Royal Bank of Canada
Toronto, ON
- Full-time
We are seeking a Senior MuleSoft Integration Developer to design, develop, and maintain API-based integrations between Salesforce and enterprise systems. You will play a key role in…
Added 11 hours ago
SM
RQ11518 – Business Analyst – Senior
S M Software Solutions Inc
Toronto, ON
- Internship
Experience in the use of Computer Aided Software Engineering (CASE) tools to document conceptual requirements and scope.
Added 11 hours ago
SM
RQ11648 – Business Analyst – Senior
S M Software Solutions Inc
Toronto, ON
- Internship
Experience in the use of Computer Aided Software Engineering (CASE) tools to document conceptual requirements and scope.
Added 11 hours ago
SM
RQ11619 – Business Analyst – Senior
S M Software Solutions Inc
Toronto, ON
- Internship
Experience in the use of Computer Aided Software Engineering (CASE) tools to document conceptual requirements and scope.
Added 11 hours ago
SM
RQ11611 – Business Analyst – Senior
S M Software Solutions Inc
Toronto, ON
- Internship
Use Computer-Aided Software Engineering (CASE) tools to document conceptual requirements and project scope.
Added 11 hours ago
SM
RQ11612 – Business Analyst – Senior
S M Software Solutions Inc
Toronto, ON
- Internship
Experience using Computer Aided Software Engineering (CASE) tools to document conceptual requirements and scope.
Added 11 hours ago
SM
RQ11615 - Business Analyst - Junior
S M Software Solutions Inc
Toronto, ON
- Internship
Experience in the use of Computer Aided Software Engineering (CASE) tools to document conceptual requirements and scope.
Added 11 hours ago
SM
RQ11475 - Software Developer - CRM - Senior
S M Software Solutions Inc
Toronto, ON
- Internship
We are seeking a Senior Software Developer – CRM with strong hands-on experience in Microsoft Dynamics 365, Power Platform, Azure, and Dataverse, along with proven Technical Lead…
Added 11 hours ago
SM
RQ11622 – Systems Testing/QA Specialist – Senior
S M Software Solutions Inc
Toronto, ON
- Internship
Identifies, documents, and tracks software defects using tools like ALM, JIRA, Bugzilla, and Azure DevOps.
Added 12 hours ago
AC
Lead developer
AYINAM CONSULTANCY SERVICES
Regina, SK
- From $46 CAD / hour
- Full-time
- On-site
Write, modify, integrate and test software code
Added 14 hours ago
TS
Software developer
Toronto Sun Wah Trading Ltd
Etobicoke, ON
- From $50 CAD / hour
- Full-time
- On-site
Write, modify, integrate and test software code
Added 15 hours ago
HT
Industrial Software Validation
Husky Technologies
Bolton, ON
- Full-time
BS or Ms in Electrical , Software, Mechatronics or Mechanical Engineering
Added 15 hours ago
RF
Senior Platform Engineer
Rodeo FX
Montreal, QC
- Full-time
8+ years of software, platform, DevOps, or pipeline engineering experience, ideally in VFX, animation, gaming, or a comparable production-technology environment.
Added 16 hours ago
MC
Senior QA Engineer III – Automation | Banking | API | Kafka | ETL (35729)
Myticas Consulting
Ottawa, ON
- Full-time
Collaborate with Developers, Business Analysts, Product, DevOps, and QA teams throughout the software delivery lifecycle.
Added 16 hours ago
MC
AI Platform Engineer (35577)
Myticas Consulting
Toronto, ON
- Contract
5–8+ years of platform engineering, infrastructure, or DevOps experience supporting AI workloads.

Sokoni Kwetu

Associate Director, Platform Engineering

London, ON, Canada

Full-time

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Job details

Job type: Full-time
Apply by: Nov 9, 2026
Posting language: English
Posted: Oct 10, 2026

Original job description

About RelationRelation is a sector defining TechBio company developing transformational medicines, with technology at our core. Our ambition is to understand human biology in unprecedented ways, discovering therapies to treat some of life’s most devastating diseases. We leverage single-cell multi-omics from patient tissue, functional assays, and machine learning to drive disease understanding, from cause to cure.We are scaling rapidly and building a team of exceptional individuals to push the boundaries of drug discovery. You will work in highly interdisciplinary teams where biology, computation, and engineering come together to solve complex problems that have not been solved before. Our state-of-the-art wet and dry labs in the heart of London are designed to accelerate this integration and translate insight into impact.We are committed to building diverse and inclusive teams. Relation is an equal opportunities employer and does not discriminate on the basis of gender, sexual orientation, marital or civil partnership status, gender reassignment, race, colour, nationality, ethnic or national origin, religion or belief, disability, or age.By joining Relation, you will help define how medicines are discovered and deliver meaningful impact for patients. The opportunityAs Associate Director, Platform Engineering, you will lead the team responsible for the hybrid compute infrastructure, developer platform and scientific compute environments that power Relation’s machine learning and drug discovery work. Reporting to the VP of Engineering, you will work closely with your team and peers across Engineering, Data Science and Machine Learning to define and evolve Relation’s platform strategy.Our platform spans on-premises infrastructure and public cloud environments, supporting computational scientist notebooks through Kubeflow, model training and serving, internal services and genomic pipelines. You will set the technical direction across these areas, build and develop the team responsible for delivering them, and ensure our platform continues to evolve alongside the needs of our science.Day to day, you willPartner with the VP of Engineering and peers across Engineering, Data Science and Machine Learning to define and evolve Relation’s platform strategy.Own the architectural strategy for our Kubernetes-based clusters and broader hybrid infrastructure, setting the technical standards and guardrails within which the team designs, builds and operates.Lead and develop the Platform Engineering team, hiring and retaining exceptional engineers, setting clear expectations and creating the conditions for them to do their best work.Own the scientific compute platform, ensuring it reliably and efficiently meets the evolving needs of our Machine Learning and Data Science teams.Drive the maturity of our CI/CD pipelines, internal services and developer tooling, treating the platform as a product and our internal engineers and computational scientists as its customers.Establish comprehensive observability and robust disaster recovery and failover strategies across on-premises and cloud environments.Own Relation’s platform security controls, including IAM, secrets management, network policy and vulnerability management, ensuring the platform meets the data governance standards required of a clinical-stage biotech working with sensitive patient-derived data. Professionally, you will haveSignificant experience in platform, infrastructure or DevOps engineering, with a strong track record of building and operating complex production environments.Experience leading engineers, either formally or informally, with responsibility for significant workstreams from strategy through to delivery. You have set technical direction others have followed, mentored and developed engineers, and taken accountability for live production systems.Strong hands-on operational experience. You have participated in on-call rotations for production infrastructure, led responses to significant incidents and driven the subsequent changes required to prevent recurrence.Deep expertise in Kubernetes, alongside experience operating infrastructure across hybrid on-premises and cloud environments.Experience building, running or evolving MLOps infrastructure, ideally including notebook environments such as Kubeflow, GPU compute for distributed training and model serving.Familiarity with batch compute for data-intensive scientific workloads, with an understanding of the reliability, scalability and reproducibility requirements of scientific data pipelines.A track record of maturing CI/CD pipelines, developer tooling and observability across complex, multi-environment platforms.Strong security fundamentals, with hands-on experience designing and implementing appropriate security controls.Excellent written and verbal communication skills, with the ability to co-own strategy with senior stakeholders, challenge decisions constructively and communicate platform strategy clearly to both technical and non-technical audiences.Bonus Experience:Exposure to relevant compliance and governance frameworks, such as ISO 27001, SOC 2 or GDPR within a research or scientific environment. Personally, youAre comfortable working in a matrixed environment, balancing multiple stakeholders and contributing effectively across teams.Take ownership of your work, proactively seek opportunities to contribute, and enable others to do their best work.Technically deep enough to earn the respect of a highly skilled engineering team, while being equally comfortable influencing and contributing at leadership levelCommunicate openly and directly, give and receive feedback constructively, and handle challenging conversations with respect.Actively seek out diverse perspectives, build strong working relationships, and contribute to shared goals across teams.Embrace challenges with openness and resilience, set high standards for yourself, and strive to deliver meaningful outcomes. Working Style & Culture at RelationAt Relation, we operate in a matrixed, interdisciplinary environment, where impact is driven through collaboration across scientific, technical, and operational domains. We collaborate, and you will partner with colleagues across multiple teams and projects, contributing your expertise while aligning to shared company priorities. We work together and win together! The patient is waiting! Recruitment AgenciesPlease note that Relation does not accept unsolicited resumes from agencies. Resumes should not be forwarded to our job aliases or employees. Relation will not be liable for any fees associated with unsolicited CVs.Find Jobs in United Kingdom on Arbeitnow

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More about this job

Responsibilities

Lead the Platform Engineering team and set the technical strategy for Kubernetes-based clusters, hybrid infrastructure, scientific compute, and MLOps environments. Improve platform reliability, developer experience, observability, disaster recovery, and security while partnering with Engineering, Data Science, and Machine Learning teams.

Requirements

Requires significant experience building and operating production platform, infrastructure, or DevOps environments, with demonstrated technical leadership and hands-on incident response. Candidates should have deep Kubernetes expertise, experience with hybrid cloud and on-premises infrastructure, and familiarity with MLOps, scientific workloads, CI/CD, observability, and security controls.

Skills

Platform Engineering
Kubernetes
Hybrid Infrastructure
Cloud Computing
On-Premises Infrastructure
MLOps
Kubeflow
GPU Computing
Distributed Training
Model Serving
CI/CD
Developer Tooling
Observability
Disaster Recovery
Platform Security
Incident Response

Visa sponsorship

Not detected in the job text

Keywords

Kubernetes
Hybrid Infrastructure
Public Cloud
On-Premises Infrastructure
Kubeflow
MLOps
GPU Compute
Distributed Training
Model Serving
Scientific Compute
Batch Compute
Genomic Pipelines
Machine Learning
Data Science
CI/CD
Developer Tooling
Observability
Disaster Recovery
Failover
IAM
Secrets Management
Network Policy
Vulnerability Management
Data Governance
ISO 27001
SOC 2
GDPR
Incident Response
Platform Strategy
Clinical-Stage Biotech

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