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Overview
Seeking an experienced Technical Project Manager to lead digital customer experience and portal initiatives. This role will be responsible for driving end-to-end project delivery, collaborating with UX, Product, Engineering, and Business teams, and ensuring successful execution of complex digital transformation programs. The ideal candidate will have strong Agile project management experience, excellent stakeholder management skills, and a proven track record of delivering customer-facing technology solutions.

Key ResponsibilitiesLead project planning, execution, testing, deployment, and delivery activities.Manage project schedules, milestones, risks, dependencies, and deliverables.Partner with Product, UX, Engineering, and Business teams to define requirements and priorities.Facilitate Agile ceremonies and coordinate work across multiple cross-functional teams.Monitor project progress and communicate status, risks, and issues to stakeholders and leadership.Drive issue resolution, risk mitigation, and change management activities.Ensure alignment between business objectives, project scope, and delivery timelines.Support resource planning, quality assurance, and overall project governance.Required QualificationsBachelor's degree or equivalent combination of education and experience.7+ years of IT experience with at least 5 years managing technology projects.Experience leading digital, web, portal, UX, or customer-facing technology initiatives.Strong knowledge of Agile/Scrum methodologies and project management best practices.Experience using Jira, Rally, or similar project tracking tools.Excellent communication, organizational, and stakeholder management skills.Ability to manage multiple concurrent priorities in a fast-paced environment.Ideal Candidate

A highly organized and results-driven Technical Project Manager with strong Agile delivery expertise who can effectively lead digital initiatives, partner with diverse stakeholders, and drive successful delivery of customer-focused technology solutions.

GCS is acting as an Employment Business in relation to this vacancy.

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THE ROLE

You will own complex, high-speed board design in the phased-array signal chain - and see your designs through the lab. The team runs design and validation in parallel: while one board revision is being validated at the bench, the next is in design. You'll design boards (schematic capture, component selection, layout ownership), personally bring up newly fabricated hardware, debug to root cause, and feed findings into the next revision. This is a design-first seat with real lab ownership - not a test role, and not a documentation role.

WHAT YOU'LL DO

Design high-complexity, high-speed digital boards: schematic capture, component selection, and layout ownership on 20+ layer, thousands-of-components designs built around custom silicon. Architect power delivery for boards carrying hundreds of high-performance chips - rail generation, sequencing, budgeting, and protection. Design and validate multi-gigabit interfaces (SerDes-class links, JESD204, PCIe, DDR) with disciplined signal- and power-integrity practice. Bring up newly fabricated boards in the lab: first power-on, section-by-section checkout, root-cause debug with oscilloscopes and high-speed instrumentation. Run validation campaigns proving designs meet requirements, and feed every finding into the next board revision. Select components with reliability, thermal, vibration, and radiation considerations in partnership with specialist review teams.

REQUIRED EXPERIENCE

8+ years of board-level design ownership - complex boards you can point to and say "mine": schematic, component selection, and layout. High-speed digital design: SerDes, JESD204, PCIe, and/or DDR, with hands-on signal-integrity practice (controlled impedance, length matching, stackup design). Power-architecture design for dense, high-power boards. Genuine lab fluency: you bring up and debug your own designs at the bench - scopes, analyzers, and methodical root-cause work. U.S. citizenship or permanent residency (export-controlled program - required).

GCS is acting as an Employment Business in relation to this vacancy.

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Job Title: Senior BI Engineer (QuickSight, AWS, PySpark)

Job Description

We are looking for a Senior BI Engineer to own and rebuild the manufacturing reporting layer, ensuring accurate, trusted, and automated operational reporting. The ideal candidate will work closely with operations, software engineering, and data engineering teams to validate business metrics, redesign datasets, and deliver scalable QuickSight dashboards.

Key Responsibilities

Assess existing QuickSight dashboards, Athena/Redshift datasets, and reporting workflows.Analyze and resolve data quality and reporting discrepancies.Validate KPIs and business metrics with operations stakeholders.Rebuild and optimize the reporting layer from source tables through dashboards.Develop and automate WBR/MBR dashboards using Amazon QuickSight.Work with AWS data platforms including Athena, Redshift, S3, Glue, and PySpark.Implement reporting logic for calendars, shifts, utilization, throughput, cycle times, on-time delivery, yield, and backlog metrics.Create self-service datasets, templates, and documentation for business users.Support future analytics, data, and automation initiatives.

Required Skills

5+ years of experience in BI, Analytics Engineering, or Data Engineering.Experience owning the reporting layer end-to-end, from source data through dashboards.Strong SQL expertise, including complex joins, window functions, and performance tuning.Hands-on experience with Amazon QuickSight (SPICE, calculated fields, row-level security, dashboards).Strong AWS experience with Athena, Redshift, S3, Glue, and PySpark.Python/PySpark experience for data validation, profiling, and transformation.Experience working with operational, manufacturing, supply chain, logistics, or production data.

Preferred Skills

Manufacturing, MES, ERP, or shop-floor analytics experience.Experience supporting Amazon-style WBR/MBR reporting and KPI frameworks.Knowledge of operational metrics such as utilization, throughput, downtime, cycle time, yield, and on-time delivery.

GCS is acting as an Employment Business in relation to this vacancy.

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Hiring Alert!

Job Title: Senior BI Engineer - (QuickSight, AWS, PySpark)

Job Description

We are looking for a Senior BI Engineer to own and rebuild the manufacturing reporting layer, ensuring accurate, trusted, and automated operational reporting. The ideal candidate will work closely with operations, software engineering, and data engineering teams to validate business metrics, redesign datasets, and deliver scalable QuickSight dashboards.

Key Responsibilities

Assess existing QuickSight dashboards, Athena/Redshift datasets, and reporting workflows.Analyze and resolve data quality and reporting discrepancies.Validate KPIs and business metrics with operations stakeholders.Rebuild and optimize the reporting layer from source tables through dashboards.Develop and automate WBR/MBR dashboards using Amazon QuickSight.Work with AWS data platforms including Athena, Redshift, S3, Glue, and PySpark.Implement reporting logic for calendars, shifts, utilization, throughput, cycle times, on-time delivery, yield, and backlog metrics.Create self-service datasets, templates, and documentation for business users.Support future analytics, data, and automation initiatives.

Required Skills

5+ years of experience in BI, Analytics Engineering, or Data Engineering.Experience owning the reporting layer end-to-end, from source data through dashboards.Strong SQL expertise, including complex joins, window functions, and performance tuning.Hands-on experience with Amazon QuickSight (SPICE, calculated fields, row-level security, dashboards).Strong AWS experience with Athena, Redshift, S3, Glue, and PySpark.Python/PySpark experience for data validation, profiling, and transformation.Experience working with operational, manufacturing, supply chain, logistics, or production data.

Preferred Skills

Manufacturing, MES, ERP, or shop-floor analytics experience.Experience supporting Amazon-style WBR/MBR reporting and KPI frameworks.Knowledge of operational metrics such as utilization, throughput, downtime, cycle time, yield, and on-time delivery.

GCS is acting as an Employment Business in relation to this vacancy.

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Hiring Alert!

Job Title: Senior BI Engineer - (QuickSight, AWS, PySpark)

Job Description

We are looking for a Senior BI Engineer to own and rebuild the manufacturing reporting layer, ensuring accurate, trusted, and automated operational reporting. The ideal candidate will work closely with operations, software engineering, and data engineering teams to validate business metrics, redesign datasets, and deliver scalable QuickSight dashboards.

Key Responsibilities

Assess existing QuickSight dashboards, Athena/Redshift datasets, and reporting workflows.Analyze and resolve data quality and reporting discrepancies.Validate KPIs and business metrics with operations stakeholders.Rebuild and optimize the reporting layer from source tables through dashboards.Develop and automate WBR/MBR dashboards using Amazon QuickSight.Work with AWS data platforms including Athena, Redshift, S3, Glue, and PySpark.Implement reporting logic for calendars, shifts, utilization, throughput, cycle times, on-time delivery, yield, and backlog metrics.Create self-service datasets, templates, and documentation for business users.Support future analytics, data, and automation initiatives.

Required Skills

5+ years of experience in BI, Analytics Engineering, or Data Engineering.Experience owning the reporting layer end-to-end, from source data through dashboards.Strong SQL expertise, including complex joins, window functions, and performance tuning.Hands-on experience with Amazon QuickSight (SPICE, calculated fields, row-level security, dashboards).Strong AWS experience with Athena, Redshift, S3, Glue, and PySpark.Python/PySpark experience for data validation, profiling, and transformation.Experience working with operational, manufacturing, supply chain, logistics, or production data.

Preferred Skills

Manufacturing, MES, ERP, or shop-floor analytics experience.Experience supporting Amazon-style WBR/MBR reporting and KPI frameworks.Knowledge of operational metrics such as utilization, throughput, downtime, cycle time, yield, and on-time delivery.

GCS is acting as an Employment Business in relation to this vacancy.

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Hiring Alert!

Job Title: Senior BI Engineer

Job Description

We are looking for a Senior BI Engineer to own and rebuild the manufacturing reporting layer, ensuring accurate, trusted, and automated operational reporting. The ideal candidate will work closely with operations, software engineering, and data engineering teams to validate business metrics, redesign datasets, and deliver scalable QuickSight dashboards.

Key Responsibilities

Assess existing QuickSight dashboards, Athena/Redshift datasets, and reporting workflows.Analyze and resolve data quality and reporting discrepancies.Validate KPIs and business metrics with operations stakeholders.Rebuild and optimize the reporting layer from source tables through dashboards.Develop and automate WBR/MBR dashboards using Amazon QuickSight.Work with AWS data platforms including Athena, Redshift, S3, Glue, and PySpark.Implement reporting logic for calendars, shifts, utilization, throughput, cycle times, on-time delivery, yield, and backlog metrics.Create self-service datasets, templates, and documentation for business users.Support future analytics, data, and automation initiatives.

Required Skills

5+ years of experience in BI, Analytics Engineering, or Data Engineering.Experience owning the reporting layer end-to-end, from source data through dashboards.Strong SQL expertise, including complex joins, window functions, and performance tuning.Hands-on experience with Amazon QuickSight (SPICE, calculated fields, row-level security, dashboards).Strong AWS experience with Athena, Redshift, S3, Glue, and PySpark.Python/PySpark experience for data validation, profiling, and transformation.Experience working with operational, manufacturing, supply chain, logistics, or production data.

Preferred Skills

Manufacturing, MES, ERP, or shop-floor analytics experience.Experience supporting Amazon-style WBR/MBR reporting and KPI frameworks.Knowledge of operational metrics such as utilization, throughput, downtime, cycle time, yield, and on-time delivery.

GCS is acting as an Employment Business in relation to this vacancy.

Read less

Hiring Alert!

Job Title: Senior BI Engineer (QuickSight, AWS, PySpark)

Job Description

We are looking for a Senior BI Engineer to own and rebuild the manufacturing reporting layer, ensuring accurate, trusted, and automated operational reporting. The ideal candidate will work closely with operations, software engineering, and data engineering teams to validate business metrics, redesign datasets, and deliver scalable QuickSight dashboards.

Key Responsibilities

Assess existing QuickSight dashboards, Athena/Redshift datasets, and reporting workflows.Analyze and resolve data quality and reporting discrepancies.Validate KPIs and business metrics with operations stakeholders.Rebuild and optimize the reporting layer from source tables through dashboards.Develop and automate WBR/MBR dashboards using Amazon QuickSight.Work with AWS data platforms including Athena, Redshift, S3, Glue, and PySpark.Implement reporting logic for calendars, shifts, utilization, throughput, cycle times, on-time delivery, yield, and backlog metrics.Create self-service datasets, templates, and documentation for business users.Support future analytics, data, and automation initiatives.

Required Skills

5+ years of experience in BI, Analytics Engineering, or Data Engineering.Experience owning the reporting layer end-to-end, from source data through dashboards.Strong SQL expertise, including complex joins, window functions, and performance tuning.Hands-on experience with Amazon QuickSight (SPICE, calculated fields, row-level security, dashboards).Strong AWS experience with Athena, Redshift, S3, Glue, and PySpark.Python/PySpark experience for data validation, profiling, and transformation.Experience working with operational, manufacturing, supply chain, logistics, or production data.

Preferred Skills

Manufacturing, MES, ERP, or shop-floor analytics experience.Experience supporting Amazon-style WBR/MBR reporting and KPI frameworks.Knowledge of operational metrics such as utilization, throughput, downtime, cycle time, yield, and on-time delivery.

GCS is acting as an Employment Business in relation to this vacancy.

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Machine Learning Scientist / Engineer - LLM, NLP & Model Training

Location: Seattle, WA - Onsite
Engagement: Contract
Start: November 2026

Are you an experienced Machine Learning Engineer, ML Scientist, NLP Scientist, Research Scientist, or Applied Scientist who has personally trained and improved machine learning models?

We're looking for an ML professional to help develop production GenAI solutions supporting multilingual content across text, images, and video.

Your current title matters less than the work you've actually done.

We're particularly interested in people who can answer questions like:

Why isn't this model performing well?What changes should we make to the training data or fine-tuning strategy?Which foundation model is best suited to this problem?How do we objectively demonstrate that the new model performs better?How do we take the resulting model into a real production environment?What We're Looking For

You should have direct experience with several of the following:

Fine-tuning LLMs or transformer modelsTraining ML/NLP modelsLoRA / QLoRA / PEFTHugging Face / PyTorchInstruction tuning or domain adaptationBuilding or curating training datasetsModel evaluation and benchmarkingHyperparameter optimizationNLP / language modelingMachine translationMultilingual modelsOCR / image understandingVision-language or multimodal modelsProduction model deploymentModel hosting and inference

This is not primarily an MLOps, infrastructure, prompt-engineering, or AI-agent development position. The core work involves choosing, training, fine-tuning, evaluating, and improving the models themselves, while partnering with an established MLOps function on production infrastructure. The official role specifically requires LLM experience beyond prompt engineering and direct work with model internals. Applied_Scientist_GenAI_LLM_Tra…

Background

Successful candidates will generally bring:

3+ years building ML models for real-world applications.Strong hands-on model training/fine-tuning experience.Experience taking ML models into production.Strong Python skills.Understanding of modern foundation-model architectures and training techniques.Ability to independently investigate model failures, design experiments, and improve performance.PhD OR Master's degree plus 4+ years of relevant experience in Computer Science, Machine Learning, Computer Engineering, or a related field. Applied_Scientist_GenAI_LLM_Tra…

Experience in NLP, machine translation, multilingual ML, OCR, or vision-language models is particularly valuable. Applied_Scientist_GenAI_LLM_Tra…

This is an opportunity to work on ML systems processing millions of pieces of content per day across 130+ locales, solving problems where off-the-shelf models are not sufficient. Applied_Scientist_GenAI_LLM_Tra…

Location: Seattle, WA - onsite five days/week.

GCS is acting as an Employment Business in relation to this vacancy.

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Applied Scientist - GenAI / LLM & Machine Translation

Location: Seattle, WA - Onsite 5 days/week
Engagement: Contract
Start: November 2026

We are seeking an experienced Applied Scientist to join a newly established science team focused on developing and deploying next-generation LLM, NLP, and multimodal machine learning solutions at significant production scale.

This is a hands-on applied science position for someone who has personally trained and fine-tuned machine learning models, understands how foundation models work internally, and can take models from experimentation through production deployment.

The team is developing GenAI solutions supporting large-scale multilingual content and translation workflows across text, images, and video. The environment has a start-up mentality with significant opportunity to influence model selection, experimentation, and technical direction. Applied_Scientist_GenAI_LLM_Tra…

What You'll DoFine-tune LLMs and transformer-based models for production applications.Design and execute model-training and evaluation experiments.Build and prepare datasets for model training and fine-tuning.Evaluate model performance, identify failure modes, and determine how to improve accuracy and quality.Select appropriate foundation models and model sizes based on the problem.Work across NLP, machine translation, OCR, image localization, and multimodal ML workflows.Deploy production-grade models operating at large scale and low latency.Partner with MLOps and engineering teams to automate training, inference, sampling, and deployment workflows.Communicate experimental results and technical recommendations to technical and non-technical stakeholders. Applied_Scientist_GenAI_LLM_Tra…Required Qualifications3+ years of experience building machine learning models for real-world business applications.Demonstrated hands-on experience fine-tuning LLMs or transformer-based models, beyond prompt engineering or API integration.Experience modifying model weights, parameters, hyperparameters, training approaches, or model architectures.Strong understanding of foundation models and modern ML/model-training concepts.Experience evaluating model performance and using experimental results to improve models.Experience deploying machine learning models into production environments.Strong Python programming skills.PhD OR Master's degree plus 4+ years of relevant experience in Computer Science, Machine Learning, Computer Engineering, or a related field. Applied_Scientist_GenAI_LLM_Tra…Highly Desired

Experience with technologies or domains such as:

Llama | Mistral | T5/mT5 | NLLB | PyTorch | Hugging Face | LoRA | QLoRA | PEFT | NLP | Machine Translation | Multilingual NLP | OCR | Vision-Language Models

Experience hosting or serving models and publications or patents in relevant ML disciplines are also valuable. Applied_Scientist_GenAI_LLM_Tra…

Location Requirement: This position is onsite in Seattle, WA five days per week. Candidates willing to relocate are welcome and should be prepared to relocate at their own expense. Former Amazon employees are welcome to apply.

GCS is acting as an Employment Business in relation to this vacancy.

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Title: PLC Technician

Location: Portland Oregon

About the Role

We are seeking curious, hands-on Electrical or Electronics Engineering graduates who enjoy solving real-world technical problems and making physical systems work. This is an excellent opportunity for early-career engineers and technologists who have a strong foundation in electrical systems, some exposure to programming, and a passion for troubleshooting, automation, controls, and hardware integration.

Key Responsibilities

Translate electrical drawings and I/O lists into application configurationsTest configurations in simulation and on real hardware - EtherCAT devices, motorised rollers, sensors, safety I/OSupport commissioning on site as buildings go liveDocument findings, test results, and technical recommendations.Support continuous improvement initiatives and engineering projects.

Required Qualifications

Graduate Degree or Diploma in one of the following:Electrical EngineeringElectrical Engineering TechnologyMechatronics EngineeringElectromechanical EngineeringEquivalent technician or technology programGraduation year between 2022 and 2026

Experience in one or some of the following technologies:PythonMATLABArduino programmingRaspberry Pi projectsLadder Logic / PLC programmingC/C++ or other programming languages

GCS is acting as an Employment Business in relation to this vacancy.

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