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Production Scheduler Enhancement Engineer Jobs

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Senior Software Engineer Department: Engineering About Atomic Industries Atomic Industries is reinventing how the world makes things. From cars and aerospace systems to medical devices and packaging, most physical goods begin life in a mold or are shaped by a manufacturing tool. Producing these tools has always been slow, manual, and dependent on scarce expertise, taking weeks or months. We’re changing that. At our Detroit headquarters, we combine the industrial DNA of America’s manufacturing heartland with the speed, intelligence, and precision of Silicon Valley. Our AI-driven platform tackles the hardest problems in geometry, process planning, and fabrication, collapsing production timelines from months to days and soon, minutes. We don’t just build software; we run a fully operational factory where our technology produces production-grade tooling every week, enabling tight feedback loops and rapid iteration. Backed by top-tier investors, we’re restoring speed, flexibility, and capability to the American industrial base. Our mission is to make manufacturing as agile and scalable as the digital world, and in doing so, rebuild the infrastructure of the physical economy. About the Role As a Senior Software Engineer on the Platform Engineering team, you'll help transform cutting-edge research into scalable, production-grade software used by engineers, machinists, and customers alike. You’ll work across services and systems — from CAD and mesh pipelines to simulation infrastructure and web APIs — to build the core backend and data services that power Atomic’s platform. This role is ideal for generalists who are excited to work across disciplines and take ownership of complex, high-impact systems. What You’ll Do Design and implement scalable backend systems and APIs in Python and other languages Build and maintain services for geometry processing, simulation orchestration, and real-time data handling Design schemas and pipelines for structured and unstructured dat

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Infrastructure Engineer (SRE) Department: Engineering – Infrastructure About Atomic Industries Atomic Industries is reinventing how the world makes things. From cars and aerospace systems to medical devices and packaging, most physical goods begin life in a mold or are shaped by a manufacturing tool. Producing these tools has always been slow, manual, and dependent on scarce expertise, taking weeks or months. We’re changing that. At our Detroit headquarters, we combine the industrial DNA of America’s manufacturing heartland with the speed, intelligence, and precision of Silicon Valley. Our AI-driven platform tackles the hardest problems in geometry, process planning, and fabrication, collapsing production timelines from months to days and soon, minutes. We don’t just build software; we run a fully operational factory where our technology produces production-grade tooling every week, enabling tight feedback loops and rapid iteration. Backed by top-tier investors, we’re restoring speed, flexibility, and capability to the American industrial base. Our mission is to make manufacturing as agile and scalable as the digital world, and in doing so, rebuild the infrastructure of the physical economy. About the Role As an Infrastructure Engineer at Atomic, you’ll own the systems that power high-performance simulation, geometry processing, and factory automation. You’ll be responsible for building and maintaining the hybrid infrastructure that spans cloud, on-prem, and GPU compute environments. This role is ideal for engineers who thrive at the intersection of reliability, performance, and engineering velocity. What You’ll Do Manage and improve CI/CD pipelines (GitHub Actions, Terraform, HashiCorp stack) Orchestrate compute workloads across cloud and bare-metal GPU clusters Design systems for secure, fault-tolerant deployment and observability Build internal tooling to accelerate developer workflows and operations Partner with engineers on simulation, ML, and backend tea

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AI
6mo ago

About Atomic Industries Atomic Industries is reinventing how the world makes things. From cars and aerospace systems to medical devices and packaging, most physical goods begin life in a mold or are shaped by a manufacturing tool. Producing these tools has always been slow, manual, and dependent on scarce expertise, taking weeks or months. We’re changing that. At our Detroit headquarters, we combine the industrial DNA of America’s manufacturing heartland with the speed, intelligence, and precision of Silicon Valley. Our AI-driven platform tackles the hardest problems in geometry, process planning, and fabrication, collapsing production timelines from months to days and soon, minutes. We don’t just build software; we run a fully operational factory where our technology produces production-grade tooling every week, enabling tight feedback loops and rapid iteration. Backed by top-tier investors, we’re restoring speed, flexibility, and capability to the American industrial base. Our mission is to make manufacturing as agile and scalable as the digital world, and in doing so, rebuild the infrastructure of the physical economy. About the Role As a Computational Geometry Engineer at Atomic, you’ll develop the software infrastructure that transforms raw part designs into simulation-ready, manufacturable, and fabrication-driven representations. You’ll build tools to analyze, manipulate, and reason about complex 3D models, ensuring they’re robust enough to drive fully automated design and production systems. This role is ideal for engineers who love working at the intersection of geometry, algorithms, and real-world manufacturing. What You’ll Do Develop algorithms to work with B-rep, mesh, and NURBS representations Implement tools for geometric healing, simplification, conversion, and constraint enforcement Build high-performance geometry pipelines that integrate with simulation and process planning tools Work with both open and proprietary kernels (e.g., OpenCascade, Parasol

REMOTEpythonaic++
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Infrastructure Engineer (SRE) Department: Engineering – Infrastructure About Atomic Industries Atomic Industries is reinventing how the world makes things. From cars and aerospace systems to medical devices and packaging, most physical goods begin life in a mold or are shaped by a manufacturing tool. Producing these tools has always been slow, manual, and dependent on scarce expertise, taking weeks or months. We’re changing that. At our Detroit headquarters, we combine the industrial DNA of America’s manufacturing heartland with the speed, intelligence, and precision of Silicon Valley. Our AI-driven platform tackles the hardest problems in geometry, process planning, and fabrication, collapsing production timelines from months to days and soon, minutes. We don’t just build software; we run a fully operational factory where our technology produces production-grade tooling every week, enabling tight feedback loops and rapid iteration. Backed by top-tier investors, we’re restoring speed, flexibility, and capability to the American industrial base. Our mission is to make manufacturing as agile and scalable as the digital world, and in doing so, rebuild the infrastructure of the physical economy. About the Role As an Infrastructure Engineer at Atomic, you’ll own the systems that power high-performance simulation, geometry processing, and factory automation. You’ll be responsible for building and maintaining the hybrid infrastructure that spans cloud, on-prem, and GPU compute environments. This role is ideal for engineers who thrive at the intersection of reliability, performance, and engineering velocity. What You’ll Do Manage and improve CI/CD pipelines (GitHub Actions, Terraform, HashiCorp stack) Orchestrate compute workloads across cloud and bare-metal GPU clusters Design systems for secure, fault-tolerant deployment and observability Build internal tooling to accelerate developer workflows and operations Partner with engineers on simulation, ML, and backend tea

pythonkuberneteslinux
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Biohub
📍 Redwood City• Full-time• Hybrid• $241K – $331K/yr
6mo ago

Biohub is the first large-scale initiative bringing frontier AI models, massive compute, and frontier experimental capabilities under one roof. We're building a general-purpose system to accelerate scientific discovery, integrating frontier AI models, biological foundation models, and lab capabilities, with the ultimate goal of curing disease. Our technology powers scientists around the world, translating AI capabilities into tools that accelerate research everywhere. The Team The AI Cluster Production Engineering team is part of the AI Compute Platform organization at Biohub, a non-profit research lab committed to open science and open-source AI. We own the design, operation, and reliability of large-scale multi-GPU AI clusters that power frontier AI biology research: protein language models, genomic foundation models, and scientific reasoning systems built to be shared, not monetized. Our clusters run Slurm on Kubernetes infrastructure and support everything from day-to-day AI researcher workflows to multi-node hero training runs at thousands of GPUs. The team works at the intersection of AI tooling, distributed systems, HPC, and frontier AI, debugging deep AI infrastructure problems and building AI systems critical to the entire AI organization. The Opportunity CZ Biohub's mission is to cure or prevent all human disease. Achieving that requires training frontier-scale AI biology models, and that demands reliable, high-performance compute infrastructure. This is production engineering work at a frontier AI lab, with the twist that the mission is biology and the science is open. You'll keep GPU clusters running at high utilization, debug the toughest distributed systems failures, and build the operational foundations for scaling to multi-thousand GPU hero runs. The technical problems are genuinely hard (e.g., multi-node distributed training, InfiniBand fabrics, large-scale storage, Slurm at scale) inside an organization where the work is aimed at helping peop

pythonkubernetesgit
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Baseten
📍 San Francisco• Full-time• Remote• $235K – $335K/yr
6mo ago

ABOUT BASETEN Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma, and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F , led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to ship AI products. THE ROLE Product at Baseten is a nascent function. Our company today has a strong engineering culture, is heavily customer-obsessed, and moves fast. We're building the product function now, and you'd be one of the people who defines it. You'll work directly with our founders and with some of the best systems and AI engineers, and you'll set the standard for what product looks like here. PMs at Baseten don't sit above engineers. You earn ownership by being technical, finding the truth in front of customers, building great cross-functional relationships, and shipping great product experiences. Once a model is deployed, keeping it fast, reliable, and economical at scale is where production inference is won or lost. You'll own the surface that makes that happen: how deployments autoscale, how traffic is routed, how the system fails over, and how workloads scale across clusters and regions. You'll own these as products end to end, both how they work under the hood and how customers configure and observe them, and you'll set the roadmap that infrastructure and product teams alike can build toward. This space is still evolving. Think cloud infrastructure in the mid-2000s. Your job is to make it 10x easier to reliably scale and serve AI models in production, and to set the market standard. This role is a great fit if you love getting deep in the technical details, and if you'd rather do whatever it takes to ship for customers th

REMOTEkubernetesmachine learningai
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Baseten
📍 San Francisco• Full-time• Remote• $150K – $250K/yr
6mo ago

ABOUT BASETEN Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma, and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F , led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to ship AI products. THE ROLE We are seeking an experienced and proactive Security Engineer to help us build, maintain, and continuously improve the security posture of our rapidly growing ML infrastructure platform. As one of the first dedicated security hires at Baseten, you will work cross-functionally with engineering and operations teams to ensure we’re meeting the highest standards of confidentiality, integrity, and availability. You’ll have an opportunity to shape our security strategy and best practices from the ground up, influencing the way our platform handles sensitive data for both internal and external stakeholders. RESPONSIBILITIES Security architecture and design: Collaborate with engineering teams to design and implement secure systems and infrastructure, including cloud (AWS/GCP) environments and container orchestration platforms. Vulnerability management: Lead proactive vulnerability assessments, pen tests, and remediation efforts to ensure our products and infrastructure remain secure. Incident response: Develop and maintain incident response processes, including detection, analysis, containment, eradication, and post-incident reviews. Identity and access management (IAM): Oversee IAM strategies and tools to ensure the right people have the right level of access to our systems and data. Security compliance and audits: Work closely with operations to ensure compliance with relevant standards (e.g., SOC 2, ISO 27001) and as

REMOTEawsgcpmachine learning
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Instawork
📍 Bengaluru• Full-time
6mo ago

Instawork is on a mission to create meaningful economic opportunities for skilled hourly professionals in communities around the globe. Our AI-powered labor marketplace helps local businesses scale, and enables global technology companies to push the frontiers of robotics and AI. Backed by world-class investors like Benchmark, Spark Capital, Craft Ventures, Greylock, Y Combinator, and others, we’re looking for exceptional talent to reimagine the way the world works. Check out our Engineering blog here Who You Are: 5–8 years building and shipping high-traffic web or mobile apps in production. Strong coding and problem-solving skills. While experience with our stack (Python/Django, Celery, MySQL, Redis, ElasticSearch, React Native) is preferred, it's not mandatory. Proficiency in frontend technologies like React, Redux, and Responsive Design Systems. Experience in system design, distributed systems, and both relational and No-SQL databases. What You'll Do: End-to-end design, development, and deployment of high-scale web and mobile features. Prioritizing the highest ROI work—move quickly on the projects that matter most. Tackling large, complex software projects and delivering them on aggressive timelines. Maintaining peak team productivity: juggle multiple priorities in a fast-paced environment. Partnering with PMs and designers to choose the simplest, most maintainable solution. Raising the bar through thoughtful code reviews and clear technical feedback. Perks: Free snacks Health Insurance Personal Insurance Flexible Hours Maternity/Paternity Leave Broadband Reimbursement #LI-SS3 Our Values Empathy, Trust & Candor We put ourselves in the shoes of our colleagues and customers and don’t shy away from uncomfortable conversations, instead building trust through honest and direct feedback. Bias for Action We practice high-velocity decision-making, clear-eyed that we often operate with incomplete information. Growing quickly means it’s OK to be wrong, so l

pythonreactsql
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Point72
📍 Bengaluru• Full-time
6mo ago

A CAREER WITH POINT72’S TECHNOLOGY TEAM As Point72 reimagines the future of investing, our Technology group is constantly improving our company’s IT infrastructure, positioning us at the forefront of a rapidly evolving technology landscape. We’re a team of experts experimenting, discovering new ways to harness the power of open source solutions, and embracing enterprise agile methodology. We encourage professional development to ensure you bring innovative ideas to our products while satisfying your own intellectual curiosity. WHAT YOU’LL DO As Database Support Engineer, you’ll support various critical database platforms across Development, QA, UAT, and Production environments. The role partners closely with application teams, application support, and database engineers and operates within a Follow‑the‑Sun model to ensure availability, performance, and reliability of database services. Key responsibilities include: • Provide operational support for enterprise database platforms in both on-prem private cloud and public cloud • Monitor database health, capacity, performance, and availability, and respond to alerts, diagnose issues, and perform timely remediation • Perform routine maintenance activities (patching, upgrades, housekeeping etc) • Troubleshoot database‑related incidents and collaborate on root cause analysis • Work closely with application owners, application support teams, and DB Engineers • Provide guidance on database best practices and operational standards • Participate in cross‑team problem resolution and continuous improvement initiatives • Contribute to design, implementation and testing of automation and self service capabilities of DB platforms • Drive continuous improvement, identifying opportunities to reduce toil and increase platform efficiency. • Participate in a Follow‑the‑Sun operating model, including shift‑based coverage and handoffs WHAT’S REQUIRED • Bachelor’s degr

pythonsqlpostgresql
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Databricks
📍 California• Remote• $194.8K – $267.9K/yr
6mo ago

RDQ227R1176 While candidates in the listed location(s) are encouraged for this role, candidates in other locations (US based) will be considered. Mission Databricks is hiring an L6 Staff Enterprise Security Engineer to expand Enterprise Security coverage across a rapidly evolving enterprise and product environment. This role will focus on securing enterprise applications, cross-system integrations, data flows, and emerging AI-adjacent use cases. The scope includes partnership with the Data team on corporate production development within the Databricks platform, through security reviews of implementation designs, hardening, configuration oversight, and broader enterprise data-security discussions, as well as modern access patterns such as MCP, integration, and trust boundary security, security automation, and broader security engineering support across enterprise platforms and services. This engineer will help identify risk, define practical security requirements, and improve security outcomes through strong technical judgment, hands-on engineering, and cross-functional partnership. Opportunity This role sits at the intersection of enterprise architecture, security engineering, product security partnership, and business enablement. Corporate production development within the Databricks platform remains owned by the Data team; EntSec defines how we engage, reviewing implementation designs, configurations, and data flows as capabilities are built, alongside ongoing enterprise application and integration reviews. The engineer will assess new technologies, integrations, and workflows with an emphasis on secure design, authentication and authorization, data handling, logging, third-party connectivity, API and token security, and operational resilience. The role partners closely with Product Engineering, IT, Legal Privacy, and business stakeholders to surface risk early, set clear requirements, and build automation that scales security coverage. This is a strong opportunit

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6mo ago

About Ubiquiti At Ubiquiti Inc., we create technology platforms for Businesses, Smart Homes, and Internet Service Providers, driven by our goal to connect everyone, everywhere. To date, Ubiquiti has shipped over 100 million devices worldwide, from ISP networking products to next generation of IT solutions. Our growth is made possible by the dedicated team of hundreds behind the scenes. From software developers and product managers to designers and strategists, Team UI is driven to achieve our common goal: Rethinking IT. At Ubiquiti, you’ll heighten your potential and broaden your horizons - all while shaping the future of connectivity. Responsibilities (What he/she will do after joining UI) Drive project execution across teams Identify and resolve production issues Work with engineering, QA, and cross-functional teams Improve execution efficiency and delivery quality Deliver projects on time and with expected outcomes Requirement (Must-Haves) 5+ years of product management experience Solid managements with Jira tracking system Experience defining product requirements, features, and workflows Familiar with system architecture and platform concepts Able to identify issues and drive resolution independently Preferred Qualifications Experience with NAS products and storage systems, with understanding of file systems, RAID, and data protection Familiar with storage industry ecosystem and protocols such as SMB, NFS, or iSCSI Understanding of performance, reliability, capacity considerations, and marketing sensitivity for storage products

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Zoox
📍 Fremont• Full-time• $98K – $118K/yr
6mo ago

As part of the Advanced Hardware Manufacturing Operations team, you will be a vital part of the Zoox Manufacturing organization responsible for building, testing, troubleshooting complex software controlled electro-mechanical sensing elements critical to Zoox’s Robo Taxi. Our team has a collaborative resilient culture marked by being curious and by an energetic approach to bring the Robo Taxi to life. You’ll be part of a passionate team dedicated to building the future of transportation. In this leadership role, you will be responsible for overseeing quality control activities for the camera, LiDAR, sensor pod and primary compute production line, ensuring compliance with standards, internal procedures, and leading a team of technicians. This role involves managing and supervising Quality employees, analyzing KPI data, implementing improvements, and providing technical guidance to the team while maintaining compliance to quality standards. In this role, you will: Provide effective supervision, mentoring and coaching to assigned employees to achieve the required quality and production goals. Supervise compliance adherence of the movement (physical and virtual) of products through the production area. Perform all personnel-related functions related to quality staff, including hiring, training, and performance evaluations. Plan and organize work to ensure delivery deadlines are met. Be the Data Steward for Manufacturing Quality on serialized production Work with the Operations. Logistics, Supplier Quality, Engineering and Manufacturing team to ensure accurate ERP transactions, documentation and proper maintenance of quality records in compliance with internal procedures, policies and regulatory requirements. Analyze and report Quality KPIs Partner with Manufacturing System Data team in resolving ERP show stoppers and improving

machine learningSAPlogistics
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About Ubiquiti At Ubiquiti Inc., we create technology platforms for Businesses, Smart Homes, and Internet Service Providers, driven by our goal to connect everyone, everywhere. To date, Ubiquiti has shipped over 100 million devices worldwide, from ISP networking products to next generation of IT solutions. Our growth is made possible by the dedicated team of hundreds behind the scenes. From software developers and product managers to designers and strategists, Team UI is driven to achieve our common goal: Rethinking IT. At Ubiquiti, you’ll heighten your potential and broaden your horizons - all while shaping the future of connectivity. Role Summary We are looking for a Software Product Builder - Enterprise Platform : a hands-on product engineer who can combine strong product taste, AI-native engineering, and the ability to ship production-quality software. This role is for builders who can move from ambiguous product opportunities to working systems quickly. You will design, prototype, build, and iterate on enterprise platform capabilities across cloud services, identity, security, administration, automation, and developer/operator workflows. You will use modern AI coding tools such as Codex, Claude Code, Cursor , and spec-driven development practices to accelerate delivery while maintaining high standards for quality, reliability, and security. The ideal candidate is not only able to define what should be built, but can personally build and ship it. What You’ll Do Identify high-impact enterprise platform opportunities by understanding user needs, operational pain points, and product gaps. Turn ambiguous ideas into clear product specs, technical designs, prototypes, and production-ready features. Build end-to-end platform capabilities across backend services, APIs, cloud infrastructure, identity, permissions, automation, observability, and admin workflows. Use AI coding agents such as Codex, Claude Code, and Cursor to accelerate implementation, testing, refacto

typescriptpythonaws
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OpenAI
📍 San Francisco• Full-time• Remote• $293K – $385K/yr
6mo ago

About the Team The Scaling team is responsible for the architectural and engineering backbone of OpenAI’s infrastructure. We design and deliver advanced systems that support the deployment and operation of cutting-edge AI models. Our work spans system software, networking, platform architecture, fleet-level monitoring, and performance optimization. About the Role We’re hiring an SW Engineer to enable production workloads and end-to-end testing on new platforms. This role will include creating new test harnesses and platform stress benchmarks, porting existing inference and training workloads to new, sometimes early-access, systems/hardware, analyzing performance and bottlenecks, and characterizing the end-to-end behavior of new systems (compute, comms, storage, control plane, and failure modes). Key Responsibilities Port and validate key inference and training workloads on new platforms/SKUs as they arrive; drive correctness, performance, and stability to an internal readiness bar. Build a suite of benchmarks and stress tests that capture real E2E behavior of our workloads by exercising all aspects of a system, including CPU, GPU, memory subsystem, frontend, scale-up, and scale-out networking (including WAN traffic, NVlink and RDMA collectives), storage, thermals, and any other relevant parts. Deep-dive performance on distributed training/inference: Collective performance and tuning (across NCCL/RCCL and internal libraries) Overlap of compute/communication, kernel-level bottlenecks, memory bandwidth and scheduling effects Create repeatable test harnesses that run in CI / lab environments and produce actionable outputs (pass/fail, performance score, regression detection). Partner with systems + fleet bring-up engineers to ensure the platform is not only stable and performant, but also operationally usable and scalable (containerization, K8s integration, telemetry hooks, failure triage loops). Work cross-functionally with vendors and internal stakeholders by producing

REMOTEpythonkubernetesartificial intelligence
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Lyft
📍 Mexico City• Full-time
6mo ago

At Lyft, community is what we are and it’s what we do. It’s what makes us different. To create the best ride for all, we start in our own community by creating an open, inclusive, and diverse organization where all team members are recognized for what they bring. Our core corporate functions (Finance, Supply Chain) are critical to Lyft’s success, and the health of our systems and processes is essential to daily operations and long-term growth. This position requires strong expertise in Oracle Procurement Cloud and Oracle Accounts Payables Cloud, with hands-on experience in solution design, configuration, and production support. You will support and continuously improve Lyft’s corporate systems by managing incidents, enabling automation, implementing monitoring, configuring applications, and driving end-to-end Source-to-Pay lifecycle excellence. To effectively support our business stakeholders, candidates for this role must be proactive, detail oriented, highly subject oriented, analytical, customer obsessed and possess the ability to execute the following skills. Your Key Responsibilities: Serve as a skilled Oracle Fusion Source-to-Pay (STP) Functional professional, acting as a strategic bridge between business and technical teams to support and enhance ERP Financials, Procurement, Payables, Supplier Management, and related modules within Oracle Fusion Cloud Applications Source to Pay Workstream. Apply functional expertise alongside hands-on technical proficiency in integrations, reporting, and issue resolution, delivering results in a dynamic, client-facing environment. Support end-to-end STP processes, including Supplier Setup & Qualification, Procurement & Sourcing, Purchase Order Management, Self-Service Purchasing, Payables, Expenses, and Supplier Portal. Bring 5–10 years of hands-on implementation experience across Oracle Financials and Supply Chain modules, with strong exposure to Accounts Payables, Procurement and STP operations. Experience in zip, a

sqlaifinance
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