Platform Engineering Lead

Job not on LinkedIn

🔥 14 hours ago

🇨🇦 Canada – Remote

💵 $165k - $185k / year

⏰ Full Time

🟠 Senior

🏗️ Platform Engineer

👻 Ghost score 0%

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DNAstack

WebsiteLinkedInAll Job Openings

11 - 50 employees

Founded 2014

🏥 Healthcare

💼 Consulting

📦 Logistics

💰 Pre Seed Round - DNAstack on 2019-01

Healthcare • Consulting • Logistics

<DNAstack> is a software company offering Omics AI, a standards‑compliant SaaS platform that enables federated discovery, sharing, and AI‑powered analysis of omics and health data. It helps data custodians connect, protect, and share sensitive genomic and health datasets across distributed national and international research networks while maintaining GA4GH compliance, privacy, and security. DNAstack’s products power pandemic surveillance, neuroscience, rare disease, and oncology collaborations by making federated data findable, accessible, and analyzable without centralizing sensitive data.

📋 Description

• Lead and grow the platform engineering team through 1:1s, career conversations, growth plans, performance reviews and hiring • Own team rituals, including planning, retrospectives and incident reviews • Build shared ownership through primary and secondary owners, pairing, shared on-call and written decisions • Coach senior engineers and build a culture of empowerment, accountability and collaboration • Maintain a ranked list of priorities and triage requests from Product, Program Management and customers • Plan the platform roadmap with Product, including reliability, security, tooling and customer environments • Report progress, risks and spend to the VP of Product Development and leadership team • Set platform technical direction and how technical decisions are made, documented and revisited • Guide architecture through design reviews, code reviews and hands-on implementation • Review major changes and new customer deployments for cost and risk • Define and improve delivery metrics, including deployment frequency, lead time, change failure rate, time to restore, and build and test durations • Set direction for CI, preview environments, progressive rollouts and automated rollback • Use AI and deterministic automation with guardrails and KPIs tracking time saved • Own AI-assisted development platform tooling, access, licensing and budget • Own infrastructure budget across GCP, AWS and related tooling; forecast, track and explain variances • Build cost visibility per environment, customer and product • Set cost targets and manage vendor and licensing relationships • Own platform reliability, SLOs, on-call, deployments, alerts, support requests, incident response and blameless reviews • Partner with the Chief Information Officer and Chief Privacy and Security Officer on SOC 2 controls tracked in Drata • Own technical controls for access, secrets, CI and audit evidence

🎯 Requirements

• 8+ years in DevOps, site reliability or platform engineering, including 3+ years managing engineers • Experience setting technical direction and priorities for a platform or infrastructure team, and managing senior engineers • Production experience with Kubernetes, Terraform and a CI system on GCP or AWS, and the hands-on skill to review and contribute to that work • Direct accountability for a cloud budget, with examples of cost reductions delivered and how they were measured • Experience improving developer productivity, with metrics to show it • Track record of automating repetitive operational work to give a small team leverage • Experience with SOC 2 or a comparable control framework • Comfort working with health or genomic data where access rules are strict and audited • Strong communication, including explaining technical trade-offs and costs to non-technical leaders • Ease working across global time zones • Concourse CI experience (nice to have, not a requirement) • Experience running many environments from one platform (nice to have) • Experience using AI and automation to multiply output, including guardrails for agent access (nice to have) • Experience building cost allocation or showback models, or internal developer platforms (nice to have) • Familiarity with Java services built on Spring Boot, GA4GH standards or WDL workflow engines (nice to have) • Must be eligible to work in Canada • Offers are conditional upon a successful background check, as permitted by law

🏖️ Benefits

• Remote friendly, with flexible hours and the opportunity to work on-site at our Toronto office • Comprehensive health benefits: medical, dental and vision coverage for you and your dependents • Three weeks vacation • Unlimited sick days • Maternity and parental leave top-up programs • One-time remote office set-up stipend • Career development and learning support • Opportunity to participate in DNAstack's Employee Stock Option Program • Opportunity to contribute to open science and global data-sharing efforts

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