Apriso MES Architect

Remote - US

$150-175k base salary

This is a senior technical role for someone with strong hands-on DELMIA Apriso
experience who can operate across both development and architecture — designing
scalable MES solutions, defining technical standards, solving complex system challenges,
and working across manufacturing, infrastructure, integration, and enterprise application
teams.
You’ll play a key role in building and evolving highly available Apriso environments while
helping manufacturers modernize how production systems are deployed, integrated, and
supported.
What You’ll Be Doing
• Architect, design, configure, and implement enterprise-scale DELMIA Apriso MES
solutions across manufacturing operations.
• Define Apriso solution architecture, technical standards, deployment patterns, and
system configurations that can scale across multiple plants and environments.
• Lead technical design across Apriso applications, infrastructure, databases,
middleware, and integrations with wider manufacturing and enterprise systems.
• Remain hands-on with Apriso development and configuration, helping troubleshoot
complex application and system-level issues.
• Design and support integrations between MES, ERP, PLM, automation, and other
manufacturing applications.
• Optimize system performance, reliability, availability, and scalability across
distributed manufacturing environments.
• Work closely with developers, solution architects, infrastructure, database,
manufacturing, and business teams to translate requirements into robust technical
solutions.
• Evaluate new Apriso functionality, product capabilities, and architectural
approaches to continuously improve the MES landscape.
• Provide technical leadership and guidance to development teams throughout
design, implementation, deployment, and support.
What We’re Looking For
• Strong hands-on experience with Dassault Systèmes DELMIA Apriso, ideally
spanning both development and solution architecture.
• Deep understanding of Apriso functionality, architecture, development tools, and
recommended implementation approaches.
• Experience designing and delivering MES solutions within complex or large-scale
manufacturing environments.
• Strong .NET and SQL experience.
• Experience configuring and managing Apriso components such as Job Executor and
related application services.
• Strong understanding of MES integrations with ERP, PLM, middleware, and
manufacturing systems.
• Experience with enterprise integration patterns including service buses, messaging,
publish/subscribe, and MOM architectures.
• Ability to troubleshoot complex application, integration, infrastructure, and
performance issues.
• Strong communication skills with the ability to work across technical and
manufacturing stakeholders.
Nice to Have
• Experience with enterprise or multi-site Apriso deployments.
• AWS cloud services and infrastructure experience.
• Experience with Ansible Tower, GitLab, CI/CD, and automated deployment
practices.
• Broader knowledge of manufacturing IT/OT architecture and digital manufacturing
transformation.
• Experience working within highly regulated, secure, or mission-critical
manufacturing environments.

I’m currently working on behalf of a global manufacturing client looking for an experienced Coupa P2P Lead to support their ongoing operations.

Please see the details below:

Key Details

• Start: ASAP
• Contract: Freelance
• Capacity: 3–5 days per week
• Location: Fully remote
• Rate: Flexible depending on seniority and experience

Role Overview
The consultant will support the ongoing administration and operational management of the Coupa P2P platform, coordinating incidents, changes, releases and integrations while ensuring the system remains stable and well maintained.

Key Responsibilities

• Coordinate incident resolution activities and processes
• Coordinate change-related activities and requests
• Administer Coupa configurations and templates
• Execute exception handling procedures
• Maintain service catalogues and related records
• Prepare reports and monitor KPIs
• Coordinate integration monitoring activities
• Coordinate Coupa releases and change requests

Requirements

• Strong hands-on Coupa P2P experience
• Experience in Coupa administration, support and continuous improvement
• Strong understanding of P2P processes and Coupa configurations
• Experience coordinating incidents, changes, releases and integrations
• Strong communication and stakeholder management skills

If you are interested, please apply with your updated CV highlighting your experience in the above. If you are unavailable, recommendations are also appreciated!

Best regards,
Jonathan

We are currently working on behalf of a client who is looking for an experienced Coupa Invoicing Functional Expert to support an upcoming rollout across Europe and LATAM.

Please see the details below:

Key Details

• Start: October

• Contract: Until end of year

• Capacity: 80 hours

• Location: Fully remote

• Rate: Flexible depending on seniority and experience

   

Role Overview

The consultant will support the functional rollout of Coupa Invoicing across multiple countries in Europe and Latin America, working closely with business stakeholders to ensure successful delivery and adoption.

Key Responsibilities

• Provide functional expertise for the Coupa Invoicing rollout

• Support configuration and optimisation of invoicing processes

• Collaborate with business stakeholders to align local requirements with global standards

• Support testing, UAT, and go-live activities

• Assist with issue resolution and post-go-live support

• Ensure best practice adoption across EUR and LATAM deployments

   

Requirements

• Strong hands-on experience with Coupa Invoicing

• Proven experience delivering Coupa implementation or rollout projects

• Strong understanding of AP and invoicing processes

• Experience working across multi-country or global deployments

• Excellent stakeholder management and communication skills

• Fluent English

   

If you are interested, please apply with your updated CV highlighting your experience in the above. If you are unavailable, recommendations are also appreciated!

Mechanical Design Engineer (Robotics Start-Up)

Want to design a robot that doesn’t just look good in CAD - but actually performs in the real world?

A scaling robotics company is building an autonomous system designed to operate in demanding, real-world environments across AgriTech.

They’re focused on robust, serviceable, and manufacturable hardware that can be deployed and maintained at scale.

They’re looking for a Mechanical Design Engineer to take ownership of the physical product - from CAD through to assembly, supplier engagement, and real-world deployment. This is a hands-on role where you’re expected to stay close to the hardware and the field.

What You’ll Be Doing

• Own the design of mechanical components and assemblies for the robot, managing CAD through multiple product iterations
• Take ownership of the BOM, ensuring accuracy, version control, and alignment with procurement and production
• Work directly with suppliers - sourcing components, requesting quotes, managing lead times, and building strong relationships
• Support and improve assembly processes, creating clear documentation and getting hands-on where needed
• Spend time in the field - attending deployments, customer sites, and trials to understand real-world performance
• Collaborate closely with embedded systems and software teams to ensure seamless integration of sensors, wiring, and hardware
• Support product certification (CE marking, machinery directive), contributing to technical documentation and compliance testing
• Identify and implement design improvements based on field feedback, manufacturing constraints, and cost optimisation

What They’re Looking For

• 3+ years of experience in mechanical design or product engineering (robotics, machinery, or industrial equipment preferred)
• Strong proficiency in CAD (SolidWorks, Fusion 360, or equivalent)
• Experience managing BOMs and working with suppliers/manufacturers
• Hands-on experience with assembly and building physical products
• Comfort working in the field and engaging with real-world deployments
• Exposure to product certification processes (CE marking, machinery directive, etc.) is a strong plus
• Proactive, detail-oriented, and comfortable working across multiple workstreams in a fast-moving startup

Hybrid/On-site working in Porto, Portugal.

Want to design robots that actually work in the field and shape the future of AgriTech robotics? Apply now for immediate consideration.

Head of AI Infrastructure 

United States

$250-350K + Bonus + Equity

Must be a citizen/authorized to work in the US/Canada

Remote with travel 

About the company

Our client is a venture-backed energy technology company building a new kind of AI compute network. Instead of one large data center, they deploy liquid-cooled NVIDIA GPU inference pods across a nationwide network of existing sites, running on power that is already permitted and in place.

The pods are designed to be modular and quick to deploy. They avoid new utility permits, water hookups, backup generators and major construction. Each pod shares its site's electrical service with other energy infrastructure, so the platform balances power intelligently and fails over gracefully between sites.

The role

This is the company's first dedicated infrastructure hire, reporting directly to the CTO.

You'll start hands-on and own the AI platform end to end: compute, memory, network, storage, orchestration and field operations. As the fleet grows, you'll build and lead the infrastructure team. You'll also be the senior technical voice for customers and set the 12 to 18 month infrastructure roadmap.

The work moves fast. New NVIDIA drivers ship weekly, new vLLM versions every two weeks and new models monthly, so continuous benchmarking and safe rollouts are at the heart of the job.

What you'll do

• Bring up, burn in and run GPU pods in production, and own the acceptance benchmarks every new pod and hardware generation must pass
• Measure and improve inference performance across compute, memory, network and storage: tokens per second per kW, KV-cache offload, RoCEv2 and NCCL fabric performance, model cold-start
• Test and roll out frequent driver, vLLM and model updates safely, with clear benchmarks and rollback plans
• Run power-aware operations: GPU power caps, curtailment and workload drain coordinated with other on-site energy loads
• Design for graceful failure, so work hands off cleanly between pods and sites
• Operate a multi-tenant, bare-metal Kubernetes GPU platform against service level objectives, with 24/7 incident response
• Write the runbooks field technicians follow at unmanned sites
• Act as technical lead for customers, and set the 12 to 18 month infrastructure roadmap
• Hire, build and lead the infrastructure team as the fleet scales

What you'll bring

• 12+ years in infrastructure, with hands-on ownership of physical production compute at scale (not only consuming public cloud services)
• Experience at a hyperscaler, GPU cloud or neocloud: you know how large organizations keep large systems running
• Practical AI inference knowledge, such as vLLM or other model serving frameworks
• Depth in at least two of: inference serving, InfiniBand or RoCE fabrics, distributed storage, bare-metal Kubernetes
• Experience running distributed or multi-site infrastructure
• Strong Linux skills, plus Python or Go: you read the code and write the fix
• Technical leadership experience, and the ambition to build and manage a team

Nice to have

• Edge or distributed-site infrastructure, such as CDN points of presence, cloud local zones or telecom edge
• Experience with 1,000+ GPU clusters
• Power-aware scheduling, demand response or GPU cluster power management
• Background at a GPU, chip or infrastructure vendor, such as NVIDIA, AMD, Intel or Oracle

You don't need to check every box to be considered.
 

Location, compensation and how to apply

• Location: fully remote, anywhere in the US or Canada
• Travel: to pod sites and customers as needed, plus two company-wide gatherings a year
• Work authorization: must already be authorized to work in the US or Canada; visa sponsorship is not available
• Compensation: competitive base salary with significant equity