Publié le mois dernier
Lead Architect / Principal Engineer
@ Litmus
Toronto, Ontario
En bref
Litmus is hiring a Lead Architect / Principal Engineer to own the technical architecture of its industrial AI data platform. The role sets long-term technical vision, drives architectural decisions across teams, and mentors senior engineers.
Responsabilités :
- Own overall platform technical architecture and long-term vision
- Drive architectural decisions across multiple teams and systems
- Review critical systems before they are built
- Standardize engineering patterns, tooling and infrastructure
- Mentor senior and staff engineers
Résumé des exigences :
- 15+ years of software engineering experience
- Expert-level Go and distributed systems design
- Mastery of Docker and Kubernetes at production scale
- Deep Linux/Unix expertise
- Strong communication with technical and non-technical stakeholders
Outils et compétences
Source et dates
Site carrière / système de candidatures · ashby
- Date publiée par l’employeur
- 2026-10-01
- Première détection par notre source
- 2026-10-08
- Mise à jour du dossier source
- 2026-10-09
Ces dates décrivent le dossier source, pas une vérification en direct du recrutement. Consultez l’offre originale.
Détails du poste
| Niveau | Chef d’équipe |
| Domaine | Développement logiciel |
| Expérience | 15 an(s) et plus |
| Heures par semaine | 40 (estimé) |
| Milieu de travail | Bureau, Domicile |
| Position | Surtout assis |
| Exigences physiques | physique faible · ordinateur élevé |
| Langues | English |
Résumé et détails rédigés par l’IA à partir de l’offre; l’offre de l’employeur fait foi.
Litmus
Profil d’entreprise sauvegardé
Renseignements historiques provenant d’un profil The Jobs API sauvegardé (champs LinkedIn/Crunchbase). Ils ne sont pas vérifiés en temps réel; les chiffres peuvent avoir changé. Les valeurs manquantes restent inconnues.
Edge Data Platform that powers Industrial AI at scale.
Description complète de l’entreprise
Litmus provides an Industrial Edge Data Platform used by manufacturers worldwide to turn machine data into reliable, analytics‑ready information. The platform connects to PLCs, SCADA, MES, historians and sensors, normalizes and contextualizes OT data, and integrates it with cloud, big‑data and AI services. Customers use Litmus to power use cases such as predictive maintenance, asset performance monitoring, quality analytics and Industrial AI initiatives, while meeting enterprise requirements for security, scalability and centralized management. Litmus supports digital transformation by enabling: - Real-time data collection from any industrial device - Automated OT data contextualization - Edge-based analytics and AI model hosting - SLM and LLM support for operator workflows - Secure cloud, MES, and historian integrations - Multi-site governance and deployment We serve customers worldwide across automotive, food & beverage, energy, and advanced manufacturing. The company is headquartered in Silicon Valley with global teams across North America, Europe and APAC.
- Abonnés LinkedIn
- 29 679
- Personnes associées sur LinkedIn
- 154
- Bureaux déclarés
- 2350 Mission College Blvd, 1020, Santa Clara, California 95054, US
- 35 McCaul St, Toronto, Ontario M5T 1V7, CA
- BLOCKS Ebisu, 1-11-2 Hiroo, Suite #408 Shibuya-ku, Tokyo, 150-0012, JP
- Karlsplatz 3, Munich, Bavaria 80335, DE
- Boat Club Road, Parakh House, Pune, Maharashtra 411001, IN
- Catégories d’activité
- Information Technology
- Software
- Predictive Analytics
- Oil and Gas
- SaaS
- Internet of Things
- Industrial Automation
- Artificial Intelligence (AI)
- Machine Learning
- Autres noms enregistrés
- Litmus
- Litmus Automation
- Spécialités
- Industrial AI
- Digital Transformation
- Industrial IoT
- DataOps
- Industry 4.0
- Industrial Edge Computing
- and OT-IT Convergence
- Le profil indique une agence de recrutement
- Non
- Investissement total déclaré
- 40 700 000
La devise et la date d’observation ne sont pas fournies; ce n’est ni une valorisation actuelle ni une ronde de financement.
Litmus provides an Industrial Edge Data Platform used by manufacturers worldwide to turn machine data into reliable, analytics‑ready information. The platform connects to PLCs, SCADA, MES, historians and sensors, normalizes and contextualizes OT data, and integrates it with cloud, big‑data and AI services. Customers use Litmus to power use cases such as predictive maintenance, asset performance monitoring, quality…
| Champ | Valeur |
|---|---|
| Secteur | Software Development |
| Taille | 51-200 employees |
| Siège social | Santa Clara, California |
| Type d’organisation | Privately Held |
| Fondée en | 2014 |
| Spécialités | Industrial AIDigital TransformationIndustrial IoTDataOpsIndustry 4.0Industrial Edge Computingand OT-IT Convergence |
| Offres sur Jobsy | 21 |
| Voir la page |
Who is Litmus
Litmus is building the data foundation that powers industrial AI.
AI doesn’t work without real-world, contextualized data - Litmus makes that data usable. As AI adoption accelerates, most industrial environments still can’t access or use their operational data. We solve that gap.
We’re a growth-stage software company helping manufacturers access, structure, and use real-time data from machines, systems, and sensors at the edge. Our platform sits at the intersection of edge computing, AI, and industrial operations, enabling some of the world’s largest companies to run operations in real time, reduce downtime, and optimize production.
Backed by leading investors and trusted by global manufacturers and partners like Google, Microsoft, Dell, Oracle, and Mitsubishi, Litmus is powering the shift toward software-defined manufacturing.
Why join Litmus
Build the infrastructure that makes industrial AI possible
AI is moving beyond the cloud and into the physical world. At Litmus, you’ll build the infrastructure that enables real-time data to power AI and machine learning systems in production environments.
Work on problems where software meets the real world
Most AI systems fail without access to real-world data. You’ll build the layer that makes them viable in production. We solve challenges at the intersection of distributed systems, real-time data, and industrial constraints — where reliability, scale, and performance are non-negotiable.
Have real impact, fast
You’ll work on systems used by real customers in production, with direct impact on product and company trajectory. As a scaling company, we move quickly. You’ll have ownership, visibility, and the ability to shape both product and company as we scale.
Join a high-performance team
We’re building a team that holds a high bar and pushes each other to improve. You’ll work alongside experienced operators, engineers, and leaders who have done this before and are building again at scale. We hire people who take ownership, move quickly, and care about outcomes. No passengers.
Our culture
At Litmus, the team is collaborative, curious, and low ego. People are scrappy, take ownership, and look for ways to make an impact. We value empathy just as much as execution, whether that’s in how we build, how we communicate, or how we support each other.
We’re a growing company, so things move quickly and not everything is perfectly defined. If you enjoy figuring things out, working closely with others, and making steady progress, you’ll do well here.
What You'll Do
• Own the overall technical architecture of the platform — set the long-term vision and make the hard calls that balance speed, scale, and maintainability.
• Drive architectural decisions across multiple teams and systems, ensuring consistency, reliability, and developer velocity.
• Identify systemic engineering problems early and lead solutions that create org-wide leverage.
• Partner with engineering leads to design and review critical systems before they're built — not after.
• Champion and standardize engineering patterns, tooling, and infrastructure best practices across the organization.
• Evaluate emerging technologies with clear-eyed judgment and guide adoption where it genuinely moves the needle.
• Mentor and develop senior and staff engineers — raise the technical bar and help your colleagues do their best work.
• Represent engineering architecture in cross-functional discussions with product, operations, and leadership.
• Contribute to hiring decisions and help shape what world-class engineering looks like at our company.
What We're Looking For
• 15+ years of software engineering experience, with a clear track record of org-wide architectural impact.
• Expert-level Go and deep knowledge of distributed systems design, microservices, and large-scale service architectures.
• Mastery of Docker and Kubernetes — you've designed production-grade, large-scale deployments and know where things break.
• Deep Linux/Unix expertise — you understand the systems your architecture runs on, from the OS level up.
• Proven ability to make irreversible architectural decisions thoughtfully, with an eye on long-term consequences.
• Strong communicator — you can make complex technical tradeoffs clear to both engineers and non-technical stakeholders.
• Experience leading through influence, not authority — you bring people along rather than dictating direction.
• Solid understanding of cloud-native infrastructure, CI/CD pipelines, and DevOps best practices.
Nice to Have
◦ Experience with industrial IoT, edge computing, or real-time data pipelines (MQTT, NATS, OPC-UA).
◦ Published Architecture Decision Records (ADRs), technical writing, or open source contributions.
◦ Background in platform engineering, developer productivity, or DevSecOps.
◦ Experience with multi-cloud or hybrid cloud strategies.
◦ Time at a high-growth startup — you've felt the pressure of scaling fast and learned from it.
Journal
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