Posted last month
Senior Forward Deployed Engineer
@ Urban Ridge Supplies
Toronto, Ontario
Overview
Urban Ridge Supplies is hiring a Senior Forward Deployed Engineer for its ProServe team to work directly with strategic customers. The role turns business problems into production AI and data systems, spanning data engineering, AI application development, Kubernetes and cloud infrastructure. The position is full time and based onsite to support clients' high security requirements.
Responsibilities:
- Embed with customer teams to define problems and success metrics
- Design and deploy AI and data applications on Shakudo
- Build production data pipelines and orchestration
- Operate deployments in cloud, on-prem and air-gapped environments
- Provide PagerDuty-based production support and incident response
Requirements summary:
- 8+ years in software, data, platform or AI engineering
- 3+ years building LLM/AI applications
- 5+ years with Kubernetes and cloud-native infrastructure
- Strong data engineering background
- Proficiency in Python, Go, TypeScript, Java or Scala
- Willingness to travel to customer sites
Tools & skills
Benefits mentioned
Source and dates
Employer career site / ATS feed · teamtailor
- Employer posting date
- 2026-09-24
- First seen by our source
- 2026-10-11
- Source record updated
- 2026-10-30
These dates describe the source record, not a live verification that the employer is still hiring. Check the original posting.
Job details
| Seniority | Senior |
| Department | Software development |
| Experience | 8+ years |
| Hours per week | 40 (estimated) |
| Travel | air: moderate · ground: moderate |
| Work setting | Office, Client sites |
| Position | Mostly sitting |
| Physical demands | physical low · computer high |
| Languages | English |
| Perks mentioned | Generous paid time off, Flexible hours, Stock or equity, Free or discounted meals |
Summary and details written by AI from the posting; the employer’s posting is the authority.
Urban Ridge Supplies
Saved company profile
Historical company information from a saved The Jobs API profile (LinkedIn/Crunchbase fields). It is not live-verified; figures may have changed. Missing values remain unknown.
Supplying high-quality pipes for residential, commercial, and industrial needs.
Full company description
Supplying high-quality pipes for residential, commercial, and industrial needs across Karachi. Fast delivery. Trusted quality.
- LinkedIn followers
- 14,005
- Reported office locations
- Sheikh Mohammed bin Rashid Boulevard 1, Zabeel, Dubai, AE
- Other recorded names
- Urban Ridge Supplies
- Profile identifies a recruitment agency
- No
Supplying high-quality pipes for residential, commercial, and industrial needs across Karachi. Fast delivery. Trusted quality.
| Field | Value |
|---|---|
| Industry | Wholesale Building Materials |
| Company size | 2-10 employees |
| Headquarters | Zabeel, Dubai |
| Organization type | Privately Held |
| Open jobs on Jobsy | 124 |
| View page |
At Shakudo, we’re building the world’s first operating system for data and AI. We use the term “operating system” in the truest sense: just like iOS, Windows, or Linux, Shakudo’s end-to-end OS provides ever-evolving, fully automated, best-in-class open-source components tailored to each business’s unique needs.
We are seeking a Senior Forward Deployed Engineer to join our ProServe team and work directly with strategic customers to turn business problems into production AI and data systems. This is a highly technical, customer-facing role for someone who can move between customer conversations, system design, data engineering, AI application development, Kubernetes, cloud infrastructure, and production support.
In this role, you will own the path from discovery to production: understanding the customer’s workflows and data, designing the solution, building and deploying it on Shakudo, and helping the customer adopt it in real operations. This is an outcome-based engineering role. A successful engagement is not a demo, a prototype, or an installation. It is a live, governed, adopted workflow that improves how the customer operates and is tied to a clear business result.
Responsibilities
- Embed with customer teams to understand business problems, workflows, data systems, constraints, and success metrics.
- Define what success looks like for each engagement, including the target outcome, adoption path, production boundary, and measurable impact.
- Translate ambiguous customer needs into clear technical scopes, architectures, implementation plans, and production outcomes.
- Build and deploy AI and data applications on Shakudo, including agentic workflows, RAG systems, data pipelines, integrations, evaluations, and operational automation.
- Design and implement production data workflows across enterprise environments, including ingestion, transformation, orchestration, data quality, access control, and observability.
- Deploy and operate Shakudo in complex customer environments, including cloud, hybrid, on-prem, private cloud, and air-gapped infrastructure.
- Work hands-on with Kubernetes, containers, networking, storage, identity, secrets, observability, and production troubleshooting.
- Partner with customer engineering, platform, data, and security teams to get systems live, governed, adopted, and measurable.
- Participate in PagerDuty-based production support for customer deployments, including incident response, escalation, root-cause analysis, and follow-up remediation.
- Turn customer-specific work into reusable patterns, playbooks, templates, and product feedback for Shakudo.
Qualifications
- 8+ years of experience across software, data, platform, infrastructure, or AI engineering roles, including:
- 3+ years building LLM/AI applications such as RAG, agents, evaluations, workflow automation, or production AI systems.
- 5+ years working with Kubernetes and cloud-native infrastructure in production environments.
- Strong experience with major cloud platforms such as AWS, Azure, or GCP.
- Strong data engineering background, including pipelines, orchestration, transformation, data quality, access controls, and production data workflows.
- Experience with a modern data stack such as Spark, Airflow, Databricks, Snowflake, or similar.
- Experience building or deploying AI, data, or automation solutions in highly regulated or operationally complex industries, such as financial services, government, healthcare, energy, agriculture, supply chain, or industrial operations.
- Ability to apply AI to real-world operational data, such as sensor data, geospatial data, logistics data, ERP data, field operations data, or forecasting data.
- Proficiency in at least one production programming language such as Python, Go, TypeScript, Java, or Scala.
- Strong systems thinking across data, users, permissions, workflows, infrastructure, governance, and business processes.
- Excellent customer-facing communication skills with engineers, operators, security teams, executives, and business owners.
- Strong ownership mindset: you care about production rollout, adoption, reliability, operational handoff, and measurable impact.
- Willingness to travel to customer sites as needed.
A Plus
- Experience in a forward-deployed, professional services, solutions architecture, customer engineering, field engineering, or technical consulting role.
- Experience delivering outcome-based customer engagements where success was measured by adoption, operational improvement, or business impact.
- Experience with data engineering, machine learning, or data science workflows, including feature engineering, model training, experimentation, evaluation, or production ML systems.
- Experience with on-prem, private cloud, regulated, hybrid, or air-gapped deployments.
- Experience with infrastructure-as-code and production operations.
- Experience working with enterprise security, compliance, audit, access control, and governance requirements.
- Experience integrating AI or data systems with enterprise applications, internal APIs, data platforms, or customer-specific operational tools.
- Experience leading senior technical stakeholders through architecture reviews, security reviews, implementation planning, and production-readiness decisions.
- Ability to identify repeatable product and service opportunities from customer-specific implementations.
Why Shakudo Stands Out
- Work with cutting-edge technologies in machine learning and high-performance computing.
- Contribute to a platform that transforms how organizations leverage data and AI.
- Join a dynamic team that values innovation, efficiency, and diversity.
Shakudo offers a high-impact package: competitive salary, meaningful equity so you share in the upside of transformational technology, and comprehensive health benefits that have you fully covered. We provide a flexible vacation policy, because building transformational technology requires supporting the people who build it. More importantly, you’ll work on technology that matters.
This role is based onsite to support the high security requirements of our clients and enable effective collaboration. We have a welcoming office environment, fully stocked with snacks, regular team outings (summer boat cruise, escape room, etc.), and a strong focus on maintaining a healthy work-life balance while doing meaningful, impactful work together.
Shakudo is an equal opportunity employer and encourages candidates of all backgrounds to apply. We foster diversity and inclusivity and welcome applications from a broad range of backgrounds and experiences.
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