Sr Engineer - Warehouse Management System Job at Genuine Parts Company (Atlanta)

Sr Engineer – Supply Chain Warehouse Management

This Sr Engineer Package Software position will be Distribution Center (internal...

Location

United States , Atlanta

Salary:

Not provided

Genuine Parts Company

Expiration Date

Until further notice

Requirements

Bachelor’s degree in Engineering, related field, or equivalent work experience
Minimum 10+ years of experience, developing workflows & config within Manhattan WMS (WMOS, MAWM) Applications, working with WES and MHE Implementations
Familiarity with modern tech stacks, API development, Google Cloud
Experience working with cloud platforms and cloud-native development
Experience with Host (ERP) - WMS Integrations using Manhattan Integration Framework (MIF)
Creative & Critical Thinking and Driving Results which are required in resolving complex projects or tasks
Excellent internal and external customer service skills with the ability to communicate effectively
Project management, analytical, troubleshooting, and critical thinking skills
Strong verbal and written communication skills
Ability to work well under pressure, independently or within a team

Job Responsibility

Serves as a subject matter expert within the Manhattan Associates suite of applications, Preferably MA Active WMS Platform
Serves as a subject matter expert for all DC Automation systems (WES, MHE) integrating with WMS Systems
Provide technical guidance in API development, Google Cloud development and support to the implementation team
Develop and support MA Active ProActive Custom changes as per business need
Collaborate with stakeholders to gather requirements and translate them into technical specifications
Optimize warehouse operations by developing and implementing best practices and process improvements
Monitor system performance and recommend improvements to improve productivity
Conduct workshop sessions to ensure effective use of the system
Stay updated with Manhattan Active new product release (innovations) in warehouse management
Self-sufficient - completes tasks competently, effectively, and efficiently based on the level of priority

What we offer

Flexible Working Schedules
Wellbeing Programs
Learning Opportunities
Community Engagement
Paid Parental Leave
Pet Insurance

Fulltime

Sr. SAP BW (Business Warehouse) Software Engineer

The selected candidate will analyze user requirements and lead the design, devel...

Location

United States , Fountain Valley

Salary:

103170.00 - 158873.00 USD / Year

Hyundai AutoEver America

Expiration Date

Until further notice

Requirements

Extensive SAP BW Experience: Over 10 years in SAP BW, including leadership roles and global ERP projects
strong expertise in BW on HANA, Fiori, and Hana modeling with SQL scripting
Technical & Analytical Skills: Proficient in data modeling, integration with SAP ECC/S4HANA, ETL processes (SDA), OData services, and tools like Query Designer, Hana Studio, and Power BI
solid understanding of SDLC and system architecture
Leadership & Communication: Skilled in managing cross-functional BW teams, problem-solving, documentation, and stakeholder communication
preferred experience in BASIS troubleshooting and security audits

Job Responsibility

Project Management (30%): Lead SAP BW and integration projects from scope definition to delivery
manage teams, timelines, risks, and budgets
communicate progress to stakeholders and maintain project documentation
Customer Satisfaction (20%): Provide user support for BW portal and Fiori dashboards
guide BI usage, manage access, gather business requirements, and ensure quality assurance for enhancements and new projects
Production Support (50%): Monitor data processes, resolve urgent issues, support financial closings, conduct training and audits, maintain documentation, and ensure compliance with change control and security policies

What we offer

comprehensive medical/dental coverage
generous PTO
education assistance
annual merit increase eligibility

Fulltime

Sr. Engineer – Package Software

This Sr Engineer Package Software position will be Distribution Center (internal...

Location

United States , Atlanta, GA

Salary:

Not provided

Alliance Automotive UK LV Ltd

Expiration Date

Until further notice

Requirements

Bachelor’s degree in Engineering, related field, or equivalent work experience
Minimum 2 years of experience, developing workflows within Manhattan WMS (WMOS, MAWM) Applications, working with WES and MHE Implementations
5-7 years of experience preferred
Experience with Host (ERP) - WMS Integrations using Manhattan Integration Framework (MIF)
Knowledge of integrating warehouse management system with other equipment and systems such as, Warehouse control systems (WCS), TMS, ShipExec is desirable
Creative & Critical Thinking and Driving Results which are required in resolving complex projects or tasks
Full understanding of the Technical Skills needed regarding SQL, Google Cloud platform
Excellent internal and external customer service skills with the ability to communicate effectively
Project management, analytical, troubleshooting, and problem-solving skills
Strong verbal and written communication skills

Job Responsibility

Serves as a subject matter expert within the Manhattan Associates suite of applications, MA Active WM Platform
Serves as a subject matter expert for all DC Automation systems (WES, MHE) integrating with MA Active WM
Collaborate with stakeholders to gather requirements and translate them into technical specifications
Optimize warehouse operations by developing and implementing best practices and process improvements
Provide technical guidance and support to the implementation team
Monitor system performance and recommend enhancements to improve productivity
Conduct workshops sessions to ensure effective use of the system
Stay updated with Manhattan Active new product release (innovations) in warehouse management
Self-sufficient - completes tasks competently, effectively, and efficiently based on level of priority
Provide guidance for automation testing and Performance testing for MA Active WM application

What we offer

Flexible Work Policy that permits eligible employees to work a hybrid remote schedule

Fulltime

Project Engineer - Warehouse Automation

The project engineer is responsible for facility engineering project support. Pr...

Location

Lithuania , Vilnius

Salary:

3129.79 - 4471.10 EUR / Month

Cencora

Expiration Date

Until further notice

Requirements

Bachelor’s degree (or equivalent) in Engineering
Experience in engineering, logistics, supply chain or a similar field
Experience working in a team environment
3+ years of directly related and progressively responsible experience obtained through previous employment, internships, Co-Op, and applicable senior design projects
Demonstrated knowledge, understanding and experience performing engineering tasks in projects related to warehouse operations, warehouse design, warehouse and business systems, process improvement and standardization, and/or engineered labor standards
Ability to communicate effectively both orally and in writing
ability to communicate (and work) effectively with people from different technical and business backgrounds, acting as a liaison, understanding and appreciating different perspectives and translating into terms necessary for any group or individual to understand
Good analytical, conceptual, and problem-solving skills to evaluate business problems and apply knowledge to identify appropriate solutions
Strong organizational skills
attention to detail

Job Responsibility

Supports project managers and directors in the development and implementation of material handling systems, operational processes and new facilities or building renovations
Works closely with project manager and/or director to assist in the development of project charters
May assist in the preparation of capital expenditure requests for projects
Works closely with project manager or senior project engineer to manage assigned project scope according to the guidelines established in the project charter
Project elements may include material handling equipment, warehouse and business systems, building construction or modification and other equipment and services typically found within a distribution environment
Assigned duties may include data analytics, development of design criteria, performing simulation, development of requests for proposals, vendor evaluation, AutoCAD 2D layouts, and site coordination activities including construction oversight, testing, and issue resolution
May be assigned multiple areas of scope and require cross-functional coordination with other internal teams and external resources
Develops and maintains engineering documentation including standard operating procedures, and DC as built drawings
Provides objective, engineering insight into operational and business process change evaluations
May manage and report on budget as well as develop, maintain, and report on timelines for assigned scope

What we offer

competitive annual bonus
life insurance from Day 1
best-in-class health insurance package
up to 6 fully paid benefit days a year
referral bonus scheme
boundless learning opportunities
global Employee Assistance Program
office location in Quadrum, equipped with everything you need for a small break at work and fresh snacks at all times

Fulltime

Project Engineer - Warehouse Automation

The project engineer is responsible for facility engineering project support. Pr...

Location

Salary:

Not provided

Cencora

Expiration Date

Until further notice

Requirements

Bachelor’s degree (or equivalent) in Engineering
Experience in engineering, logistics, supply chain or a similar field
Experience working in a team environment
3+ years of directly related and progressively responsible experience obtained through previous employment, internships, Co-Op, and applicable senior design projects
Demonstrated knowledge, understanding and experience performing engineering tasks in projects related to warehouse operations, warehouse design, warehouse and business systems, process improvement and standardization, and/or engineered labor standards
Ability to communicate effectively both orally and in writing
ability to communicate (and work) effectively with people from different technical and business backgrounds, acting as a liaison, understanding and appreciating different perspectives and translating into terms necessary for any group or individual to understand
Good analytical, conceptual, and problem-solving skills to evaluate business problems and apply knowledge to identify appropriate solutions
Strong organizational skills
attention to detail

Job Responsibility

Supports project managers and directors in the development and implementation of material handling systems, operational processes and new facilities or building renovations
Works closely with project manager and/or director to assist in the development of project charters
May assist in the preparation of capital expenditure requests for projects
Works closely with project manager or senior project engineer to manage assigned project scope according to the guidelines established in the project charter
Project elements may include material handling equipment, warehouse and business systems, building construction or modification and other equipment and services typically found within a distribution environment
Assigned duties may include data analytics, development of design criteria, performing simulation, development of requests for proposals, vendor evaluation, AutoCAD 2D layouts, and site coordination activities including construction oversight, testing, and issue resolution
May be assigned multiple areas of scope and require cross-functional coordination with other internal teams and external resources
Develops and maintains engineering documentation including standard operating procedures, and DC as built drawings
Provides objective, engineering insight into operational and business process change evaluations
May manage and report on budget as well as develop, maintain, and report on timelines for assigned scope

Fulltime

Sr. Engineer, ML Platform

As the leading delivery platform in the region, we have a unique responsibility ...

Location

United Kingdom , London

Salary:

Not provided

Delivery Hero

Expiration Date

Until further notice

Requirements

Strong software engineering background with experience in building distributed systems or platforms designed for machine learning and AI workloads
Expert-level proficiency in Python and familiarity with ML frameworks (TensorFlow, PyTorch), infrastructure tooling (MLflow, Kubeflow, Ray), and popular APIs (Hugging Face, OpenAI, LangChain)
Experience implementing modern MLOps practices, including model lifecycle management, CI/CD, Docker, Kubernetes, model registries, and infrastructure-as-code tools (Terraform, Helm)
Demonstrated experience working with cloud infrastructure, ideally AWS or GCP, including Kubernetes clusters (GKE/EKS), serverless architectures, and managed ML services (e.g., Vertex AI, SageMaker)
Proven experience with generative AI technologies: transformers, embeddings, prompt engineering strategies, fine-tuning vs. prompt-tuning, vector databases, and retrieval-augmented generation (RAG) systems
Experience designing and maintaining real-time inference pipelines, including integrations with feature stores, streaming data platforms (Kafka, Kinesis), and observability platforms
Familiarity with SQL and data warehouse modeling
capable of managing complex data queries, joins, aggregations, and transformations
Solid understanding of ML monitoring, including identifying model drift, decay, latency optimization, cost management, and scaling API-based genAI applications efficiently
Bachelor’s degree in Computer Science, Engineering, or a related field

Job Responsibility

Design, build, and maintain scalable, reusable, and reliable ML platforms and tooling that support the entire ML lifecycle, including data ingestion, model training, evaluation, deployment, and monitoring for both traditional and generative AI models
Develop standardized ML workflows and templates using MLflow and other platforms, enabling rapid experimentation and deployment cycles
Implement robust CI/CD pipelines, Docker containerization, model registries, and experiment tracking to support reproducibility, scalability, and governance in ML and genAI
Collaborate closely with genAI experts to integrate and optimize genAI technologies, including transformers, embeddings, vector databases (e.g., Pinecone, Redis, Weaviate), and real-time retrieval-augmented generation (RAG) systems
Automate and streamline ML and genAI model training, inference, deployment, and versioning workflows, ensuring consistency, reliability, and adherence to industry best practices
Ensure reliability, observability, and scalability of production ML and genAI workloads by implementing comprehensive monitoring, alerting, and continuous performance evaluation
Integrate infrastructure components such as real-time model serving frameworks (e.g., TensorFlow Serving, NVIDIA Triton, Seldon), Kubernetes orchestration, and cloud solutions (AWS/GCP) for robust production environments
Drive infrastructure optimization for generative AI use-cases, including efficient inference techniques (batching, caching, quantization), fine-tuning, prompt management, and model updates at scale
Partner with data engineering, product, infrastructure, and genAI teams to align ML platform initiatives with broader company goals, infrastructure strategy, and innovation roadmap
Contribute actively to internal documentation, onboarding, and training programs, promoting platform adoption and continuous improvement

Fulltime

Sr. Data Engineer

Join Amgen’s Mission of Serving Patients. At Amgen, if you feel like you’re part...

Location

United States , Thousand Oaks

Salary:

138325.00 - 172744.00 USD / Year

Amgen

Expiration Date

Until further notice

Requirements

Master’s degree (or foreign equivalent) in Computer Science, Computer Engineering, Clinical Informatics or related field and 2 years of experience in the job offered or in a Data Engineer – related occupation. The position requires 2 years of experience in the following: Manage and tune Hadoop, MapReduce, or Spark SQL
Build ETL pipelines to transfer data
Optimize database for usage
Manage data stewardship and governance
Configure cloud services to orchestrate, monitor, and run end-to-end data warehousing solutions
and Model data for translation, linking, and consumption from source to data warehouse.

Job Responsibility

Responsible for managing and optimizing the company's data infrastructure and architecture for Clinical Data Hub, including cloud-based distributed compute and storage
Design and implement data pipelines, develop data models, perform data integration, and ensure data quality and governance
Contributes to the effective storage, processing, and utilization of large-scale data sets
Work with Product Owner, Product Management, Agile Team, and Data Architects to plan and deliver prioritized Clinical Data Hub backlog items and optimize the technical environment
Ensure data requirements for applications, data scientists, and cross-functional use cases are met, and ensure high performance and reliability of the system
Provide insights and actionable solutions for business clients.

What we offer

stock
retirement
medical
life and disability insurance
eligibility for an annual bonus
health and welfare plans
financial plans
work/life balance
career development opportunities
Retirement and Savings Plan

Fulltime

Sr DevOPS Engineer

Sr DevOPS Engineer (Snowflake, DBT and Qlik)

Location

United States , San Jose

Salary:

170000.00 USD / Year

Realign

Expiration Date

Until further notice

Requirements

CI/CD tools: Azure DevOps Pipelines or GitLab CI/CD (hands-on pipeline development)
Infrastructure as Code: Terraform (AWS and Azure providers) — production-grade experience
Configuration Management: Ansible and/or Puppet — ability to write playbooks/manifests and manage infrastructure state
Cloud platforms: AWS (EC2, S3, RDS, VPC, IAM, Lambda, Glue, Lakeformation) and Azure (VMs, App Services, Blob Storage, Cosmos DB, networking)
Python programming: scripting, automation, API integration, and tooling development
Snowflake: operational knowledge of warehouse management, cost optimization, and cloud integration
Git/GitLab/GitHub: version control, branching strategies, and repository management
Linux/Unix system administration and command-line proficiency
Networking fundamentals: VPCs, subnets, security groups, DNS, load balancing
Scripting languages: Bash, Python, or similar for automation

Fulltime

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Sr Engineer - Warehouse Management System

Job Description

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