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Production Scheduler Enhancement Engineer Jobs

8,490 active opportunities · Updated for October 2026

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Explore current production scheduler enhancement engineer jobs. Use filters to narrow by work mode, employment type, experience and date posted.

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Plaid
📍 New York• Full-time• Remote• $145.2K – $172.8K/yr
12 days ago

We believe that the way people interact with their finances will drastically improve in the next few years. We’re dedicated to empowering this transformation by building the tools and experiences that thousands of developers use to create their own products. Plaid powers the tools millions of people rely on to live a healthier financial life. We work with thousands of companies like Venmo, SoFi, several of the Fortune 500, and many of the largest banks to make it easy for people to connect their financial accounts to the apps and services they want to use. Plaid’s network covers 12,000 financial institutions across the US, Canada, UK and Europe. Founded in 2013, the company is headquartered in San Francisco with offices in New York, Seattle, Washington D.C., Raleigh, London, and Amsterdam. The GTM Technology team sits within GTM Operations and owns the systems, architecture, and automation that power Plaid's go-to-market motion — Salesforce administration and platform architecture, quote-to-cash, lead-to-cash data integrity, and the evaluation and rollout of new GTM tooling, including AI and agentic tooling. We partner closely with Sales, Finance, and Engineering to make sure the systems behind revenue are accurate, scalable, and increasingly automated. We're hiring a GTM Technology Engineer to help build and maintain the technical backbone of our GTM systems. This is a hands-on engineering role for someone who can write production-quality Salesforce code (Apex, LWC, SOQL/SOSL), design clean integrations across our GTM stack (Salesforce, CPQ, contract lifecycle management, sales engagement, data warehouse, and more), and bring an AI-forward, builder mentality to how we automate and scale GTM Operations workflows. You'll work on everything from diagnosing and fixing Apex logic that drives revenue-critical fields, to building integrations that connect Salesforce with adjacent platforms, to designing and deploying AI-powered agents and automations (using LLM APIs, MCP

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Twitch
📍 San Francisco• $171.6K – $222.2K/yr
12 days ago

About Us Twitch is the world’s biggest live streaming service, with global communities built around gaming, entertainment, music, sports, cooking, and more. It is where thousands of communities come together for whatever, every day. We’re about community, inside and out. You’ll find coworkers who are eager to team up, collaborate, and smash (or elegantly solve) problems together. We’re on a quest to empower live communities, so if this sounds good to you, see what we’re up to on LinkedIn and X , and discover the projects we’re solving on our Blog . Be sure to explore our Interviewing Guide to learn how to ace our interview process. About the Role We are looking for an Applied Scientist to solve challenging and open-ended problems in the domain of Creators and content contextual signals. As an Applied Scientist on Twitch's GTM Science team, you will use applied machine learning to tackle ambiguous business problems across problem areas such as Ads, Brand Safety, Creator Sponsorship and Content Understanding. You will lead high profile projects where you will use a wide toolbox of ML tools to handle multiple types of data, including user behavior, metadata, and user generated content such as text and video. You will collaborate with a team of passionate scientists, engineers, and product stakeholders to develop these models, prototype and put them into production, where they can help Twitch's creators and viewers succeed and build communities. You will report to our Senior Data Science Manager for GTM. This position is located in San Francisco, CA. You Will: Build machine learning products to enrich Twitch’s content understanding and help creators and viewers build and discover their communities. Propose, design, and oversee execution for high-impact projects that work backwards from customer problems to develop the right solution for the job. Know when to use a classical ML model versus a state-of-the-art one. Collaborate wit

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Why Sony Interactive Entertainment? Sony Interactive Entertainment isn’t just the Best Place to Play — it’s also the Best Place to Work. Sony Interactive Entertainment (SIE) is the company behind the PlayStation brand. As a subsidiary of Sony Group Corporation, we’re part of a proud legacy of innovation and excellence. SIE is a dynamic technology company, delivering cutting-edge hardware and network services to more than 100 million people and an entertainment leader, home to some of the most beloved and recognizable intellectual properties (IP) in the world. Our role at SIE is to create and nurture the experiences under the PlayStation brand, a name synonymous with entertainment excellence and creativity. Department overview: IEE is the central support organisation for UK, Europe, Africa, the Middle East and Australasia, marketing PlayStation products in +100 countries. The Technical Services department is responsible for all returns and repair of PlayStation products across all SIEE Territories. This includes the collection of defective products from consumers and retailers, product screening and diagnosis, the repair, recovery or reuse of products received, and where required, the distribution of product back to consumers and retailers. The Technical Services department also manages all spare parts activities related to repair, the production of refurbished stock, and owns all relationships with Repair Centres, Swap Centres and Logistics Providers. What you’ll be doing: As Technical Product Support Engineer you will be responsible for the ongoing support of our repair centre operations partners in Europe, Africa, Middle East and Australia. You will provide technical and engineering support, manage the development and implementation of repair improvement initiatives, work with our HQ and wider team on the introduction of new models, new diagnostic tools and equipment, and will track and manage partner performance via a set of established

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PG
12 days ago

Why Sony Interactive Entertainment? Sony Interactive Entertainment isn’t just the Best Place to Play — it’s also the Best Place to Work. Sony Interactive Entertainment (SIE) is the company behind the PlayStation brand. As a subsidiary of Sony Group Corporation, we’re part of a proud legacy of innovation and excellence. SIE is a dynamic technology company, delivering cutting-edge hardware and network services to more than 100 million people and an entertainment leader, home to some of the most beloved and recognizable intellectual properties (IP) in the world. Our role at SIE is to create and nurture the experiences under the PlayStation brand, a name synonymous with entertainment excellence and creativity. Department overview: The Solutions Engineer builds, tests, and improves employee technology automations and integrations within agreed designs. The role helps shift support toward earlier detection and safe, repeatable resolution while making solutions easy to operate. Working with senior engineers, platform owners, and support teams, this individual delivers defined components and uses production feedback to improve them. What you’ll be doing: Implementation and quality Develop scripts, API integrations, workflows, and platform configurations for agreed employee technology use cases. Implement defined detection and approved remediation steps, including validation, error handling, logging, and escalation when a case cannot be resolved safely. Write and run tests; document configuration, operation, known limitations, and recovery steps. Monitor owned components, investigate defects, and improve reliability and usability from production feedback. Platforms and integrations Build and maintain assigned integrations and workflows across employee technology systems, which may include ServiceNow, Moveworks, Jira, Slack, Nexthink, Jamf , Microsoft Intune, Microsoft 365, and Microsoft Graph. Use documented APIs and in

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12 days ago

The database market is massive (IDC estimates it to be $121B+ by 2025!) and MongoDB is at the head of its disruption. At MongoDB we are transforming industries and empowering developers to build amazing apps that people use every day. We are the leading modern data platform and the first database provider to IPO in over 20 years. Join our team and be at the forefront of innovation and creativity. Building on the rapid success and adoption of MongoDB, we are delivering applications and services that make it much easier to manage and scale database deployments. These next-generation systems are a growing list but currently include products such as Atlas (www.cloud.mongodb.com), Cloud Manager and Compass. MongoDB Atlas is the premier multi-cloud database-as-a-service built and operated by the makers of MongoDB. The Cloud Operations Engineering team at MongoDB is a worldwide team responsible for the consistent operational success of every MongoDB Atlas customer. As a Cloud Operations Engineer, you will help ensure the success of our Atlas customers, whether they are early startups or large multinational companies, cloud-native or just getting started with a digital transformation to the cloud. You are excited about the core mission of MongoDB, and the opportunity to join the team responsible for operating Atlas, the fastest-growing multi-cloud database-as-a-service in the world. Cloud Operations Engineers are responsible for building internal tools and process automation. Day-to-day duties are creating and monitoring systems alert dashboards, reviewing critical event and system logs, accessing customer instances that underpin their production databases, and performing server administration duties including performance troubleshooting. Applicants must be critical thinkers who are quick to detect, resolve, or escalate issues that are sometimes broad in scope and difficult to trace. Day to day you will… Successfully coordinate with a global team of Cloud Operations E

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12 days ago

Every day, tens of millions of people come to Roblox to explore, create, play, learn, and connect with friends in 3D immersive digital experiences– all created by our global community of developers and creators. At Roblox, we’re building the tools and platform that empower our community to bring any experience that they can imagine to life. Our vision is to reimagine the way people come together, from anywhere in the world, and on any device. We’re on a mission to connect a billion people with optimism and civility, and looking for amazing talent to help us get there. A career at Roblox means you’ll be working to shape the future of human interaction, solving unique technical challenges at scale, and helping to create safer, more civil shared experiences for everyone. At Roblox, we believe advanced research belongs in production, driving core algorithmic advances at a global scale. In this role, you’ll own high-impact projects end-to-end, from initial ideation to production deployment and academic publication, while solving complex, high-dimensional challenges at world-scale concurrency. Your expertise, across research areas including Computer Vision and Graphics, multimodality, NLP, or recommendation systems, will directly shape the experience for millions of daily active users. Come build the AI-driven infrastructure powering the future of immersive entertainment. You Will Prototype and implement advanced AI and machine learning solutions that drive core platform features and innovation at scale. Develop and deploy cutting-edge models (e.g., deep learning, generative AI, multimodal architectures) to solve complex, high-impact technical challenges. Collaborate with applied researchers, engineers, and product teams to translate advanced research concepts into production-ready systems. Translate complex research into scalable, robust infrastructure that directly impacts hundreds of millions of daily active users. Work backward from user and product

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Tenstorrent is leading the industry on cutting-edge AI technology, revolutionizing performance expectations, ease of use, and cost efficiency. With AI redefining the computing paradigm, solutions must evolve to unify innovations in software models, compilers, platforms, networking, and semiconductors. Our diverse team of technologists have developed a high performance RISC-V CPU from scratch, and share a passion for AI and a deep desire to build the best AI platform possible. We value collaboration, curiosity, and a commitment to solving hard problems. We are growing our team and looking for contributors of all seniorities. Tenstorrent is hiring an ATE Test Development Engineer who can build sophisticated, scalable test solutions on the Advantest V93000 platform using SmartTest 8, custom code, and low‑level tester APIs. This role is ideal for someone who enjoys writing clean, modular software that directly touches hardware, understands how measurements are supposed to work, and can drive experiments that isolate variables across silicon, instrumentation, and test methodology. You will own the development, debug, datalogging, and optimization of ATE test content for NPI and production, ensuring our devices are thoroughly characterized, efficiently tested, and ready for high‑volume manufacturing. This role is hybrid, b ased out of Austin,TX; Santa Clara,CA; or Fort Collins, CO. We welcome candidates at various experience levels for this role. During the interview process, candidates will be assessed for the appropriate level, and offers will align with that level, which may differ from the one in this posting. Who You Are You bring 10+ years of experience in ATE test development, semiconductor test engineering, or post-silicon validation. You are proficient with Advantest V93000, SmartTest 8, tester APIs, C++ or Java, and Python automation. You understand ATE instrumentation, including DPS, PMU, RF/HSIO, timing sets, multisite execution, and tester-to-DUT

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Gallup
📍 Omaha Riverfront• $70K – $90K/yr
12 days ago

Build quality into every product and help shape the future of AI-powered software. As a quality engineer at Gallup, you'll help deliver software our clients can trust by partnering with product managers, software engineers, designers and fellow quality engineers to ensure quality in every stage of the software development life cycle. Rather than simply executing test cases, you'll apply systems thinking to identify risks, develop thoughtful validation strategies and help ensure every release delivers an exceptional customer experience. As Gallup continues to expand its AI-powered products, you'll also have opportunities to contribute to testing intelligent workflows and emerging AI capabilities. What You’ll Do Develop a deep understanding of product features, customer workflows, system interactions, APIs, data flows, integrations and technical dependencies to identify quality risks and determine the most effective validation strategy Collaborate within Gallup's Product Operating Model alongside product managers, software engineers, designers and fellow quality engineers to ensure quality in every stage of product development Design, execute and maintain manual and automated tests across user interfaces, APIs, integrations and end-to-end workflows Develop and maintain automated test suites using Playwright or comparable modern automation frameworks Perform exploratory, regression, smoke and end-to-end testing to uncover system risks and validate critical customer experiences Integrate automated tests into CI/CD pipelines to provide fast, reliable feedback throughout development Troubleshoot automation failures and partner with engineering teams to improve test stability, reliability and automation coverage Create and maintain test plans and traceability that reflect product intent, customer impact and overall validation strategy Support production validation and investigate customer-reported issues when needed Continuously improve quality engineering practices, autom

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Cursor
📍 London• Full-time• Remote
12 days ago

SpaceX was founded under the belief that a future where humanity is out exploring the stars is fundamentally more exciting than one where we are not. Today, SpaceX is actively developing the technologies to make this possible, with the ultimate goal of making life multiplanetary and expanding consciousness to the stars. SpaceXSI is building Super Intelligence to help humanity understand the universe. Our teams are building the full Super Intelligence stack: from our Colossus supercomputers, to Grok models, to our suite of applications, including Grok Bot, Grok Build, Grok Imagine, Grok Voice, and X. We're creating a powerful flywheel where more compute trains better models, better models power more useful products, and what we learn from people using those products shapes what we build next. About the role You embed directly with customer teams as the engineer on the ground: own an outcome, ship a production-grade SpaceXAI system that still runs after you leave, and become the critical technical feedback loop from the field back to product engineering. The work is the project. One week you might take a messy business workflow and put a production agent on it: pick the use case, stand up the architecture, wire it into the customer’s auth, data, and tools, then harden it with evals until the team actually uses it. Another week you might live in a customer’s repo and delivery system and ship an agent-powered path for a migration, a PR review loop, or an incident-to-fix flow, behind tests, review, and rollout rather than in a chat sidebar. Either way, you measure what matters, leave the customer able to operate it, and bring the pattern back as another use case for SpaceXAI. This is not a demo role. You own the work end to end, from the first discovery call through launch, iteration, and post-launch support, and you are responsible for systems that work in the real world. What you’ll do Lead discovery with the customer: orient in their codebases and workflows, find the

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Okta
📍 Toronto• C$136K – C$187K/yr
12 days ago

Secure Every Identity, from AI to Human Identity is the key to unlocking the potential of AI. Okta secures AI by building the trusted, neutral infrastructure that enables organizations to safely embrace this new era. This work requires a relentless drive to solve complex challenges with real-world stakes. We are looking for builders and owners who operate with speed and urgency and execute with excellence. This is an opportunity to do career-defining work. We're all in on this mission. If you are too, let's talk. Okta Identity Governance (OIG) organization is looking for a Senior Engineer to join our team — OIG is Okta’s Identity Governance and Administration solution that is directly responsible for one of the most critical and visible workflows in enterprise identity: how employees request, approve, and gain access to the resources they need. Opportunity As a Senior Engineer on the OIG team, you will be involved into development, design, and maintenance of our product to serve enterprise customers at scale. You will involve the architecture and evolution of our product features — spanning the across different access governance personas — and work collaboratively across engineering, product, and design to deliver features that are secure, scalable, and delightful to use. This is a role for someone who thinks in systems, leads with craft, and is energized by the challenge of building enterprise-grade software that millions of users depend on. This is a rare opportunity to join a team where your technical decisions will directly shape how thousands of enterprises manage access governance at scale, where the technical challenges are genuinely hard, and where the work you ship will be seen and felt by real users every day. Job Duties And Responsibilities Take end-to-end ownership of feature areas — from technical design through implementation, testing, deployment, and post-launch monitoring Design, build, and ship high-quality, production-ready features ac

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12 days ago

Who we are At Twilio, we’re shaping the future of communications, all from the comfort of our homes. We deliver innovative solutions to hundreds of thousands of businesses and empower millions of developers worldwide to craft personalized customer experiences. Our dedication to remote-first work , and strong culture of connection and global inclusion means that no matter your location, you’re part of a vibrant team with diverse experiences making a global impact each day. As we continue to revolutionize how the world interacts, we’re acquiring new skills and experiences that make work feel truly rewarding. Your career at Twilio is in your hands. . Hiring and how we work We use Artificial Intelligence (AI) to help make our hiring process efficient. That said, every hiring decision is made by real Twilions! Also, while we are a remote-first company, you may be asked to report in person on an ad-hoc basis for team gatherings, functional off-sites or customer meetings. . See yourself at Twilio Join the team as our next Staff Machine Learning Engineer on Twilio’s Conversation Memory team. About the job In this role, you will build the foundational AI/ML capabilities that power intelligent engagement experiences for Twilio customers - letting any application, human or AI agent, or channel know who a customer is, what they have done, and how best to reach them. This role requires a builder and curious mindset, someone who can bridge the gap across theoretical research, production-grade experimentation and enterprise quality software. You will lead rapid research cycles to solve complex problems regarding contextual intelligence and large scale ML problems ensuring every interaction feels seamless and personalised. Responsibilities In this role, you’ll: Build out new functionality within a fast moving product seeing rapid adoption. Take a nebulous idea, design a rigorous experiment, and execute it within weeks. Conduct deep-dive research

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CAPCO POLAND * We are looking for Poland based candidate. * This role is hybrid and may require working from the office in Warsaw. At Capco Poland, we’re not just another consultancy - we’re the spark behind digital transformation in the financial world. As a global leader in technology and management consulting, we thrive on helping clients tackle the toughest challenges across banking, payments, capital markets, wealth, and asset management. Business Analyst – Market Risk Data & AI Automation Role Overview We are seeking an experienced Business Analyst within Financial Markets Technology to support Market Risk initiatives, with primary ownership of the Data Quality Management System and associated data-lineage processes. The role will focus on re-engineering and automating manual data-quality and lineage processes using AI/GenAI tooling , while acting as the bridge between business, risk, data and technology teams. Key Responsibilities Own and maintain end-to-end data lineage across the Market Risk Platform (MRP), including source-to-target mappings, interfaces, transformations and downstream dependencies. Analyse ADO tickets, code repositories and documentation to assess change impacts and investigate data-quality issues. Work with data owners, developers and application teams to resolve lineage gaps and maintain accurate documentation. Track lineage changes throughout the delivery lifecycle and ensure documentation remains aligned with production releases. Support strategic Market Risk transformation initiatives, including FRTB, by documenting current/target-state data flows and downstream impacts. Identify and implement AI/GenAI-enabled automation , including automated lineage extraction, model/mapping generation, analysis and visualisation. Re-engineer manual data-quality and control processes to improve efficiency and reduce operational effort. Maintain governance and lineage evidence supporting BCBS239 , audits and data-owner atte

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12 days ago

MongoDB’s Employer Brand team owns how MongoDB is viewed as an employer and helps attract the talent needed to support our growth. We turn MongoDB’s strategy, EVP and employee experience into clear, credible stories and experiences across the candidate journey. As an Employer Brand Analyst, you will support the delivery of our India Employer Brand strategy during a period of significant hiring growth. This is a hands-on individual contributor role focused on content creation, particularly video, and strong project execution. You will create, film and edit content, coordinate across teams and help prioritise activity against the most important hiring needs. This position is a 12 month fixed term contract. You do not need an Employer Brand background, but strong content creation skills are essential. We are looking to speak to candidates who are based in Gurugram for our hybrid working model. Responsibilities Create content across video, social and digital channels, including employee stories, short-form videos and campaign assets Own video production from concept through delivery, including planning, filming and editing Support Employer Brand campaigns across digital media, social, employee advocacy, PR and influencer activity Coordinate projects across Recruiting, Social, Comms & PR, agencies, employees and technical leaders, managing timelines, reviews and approvals Partner with Recruiting to prioritise activity based on changing hiring needs and the talent audiences where Employer Brand can have the greatest impact Manage multiple priorities at once and adapt quickly as business and hiring priorities change Support third-party employer profiles, awards activity and local internal communications Qualifications 2+ years of experience in content creation, social media, digital marketing, employer branding or a related field Hands-on video production experience, including filming and editing Experience using video editing tools such as Adobe Premiere Pro, Fi

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About Prodigal Prodigal is the connected AI platform leading financial institutions use to run their operations. We work with banks, lenders, credit unions, and other financial companies that lend money to people and manage those relationships over time. These institutions make millions of high-stakes decisions every day. Who should they reach? When should they reach them? What should they say or offer? When should a case move to a human? How should that change based on the borrower, the account, previous interactions, and the regulations involved? Getting those decisions right requires a deep understanding of the people, processes, rules, and edge cases behind them. Prodigal has spent the last eight years building that understanding. More than a billion interactions between financial institutions and their customers have shaped the intelligence, guardrails, and AI agents we now run in production across North America. Today, our AI agents analyze conversations, capture context, guide human agents, decide the next action, conduct customer conversations, orchestrate outreach, and help people complete payments and resolutions. They are connected, so what is learned in one interaction can inform what happens next. We are expanding this swarm of AI agents across more of the work financial institutions do: originations, document processing, back-office workflows, servicing, and other critical operations where money, identity, people, and regulation intersect. We are backed by Y Combinator, Accel, and Menlo Ventures, and work with 100+ financial institutions across North America. Listen directly from our CTO, Cofounder - Sangram Raje What You’ll Do Build and deploy LLM-powered AI agents (including voice agents) in production, designed for real-world use cases Own the end-to-end lifecycle of AI systems — from problem scoping and design to deployment, monitoring, and continuous iteration Design and optimize prompts, RAG pipelines, and evaluation frameworks to improve accurac

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About the Team The Forward Deployed Engineering (FDE) team is a highly specialized, customer-facing software engineering team at Databricks. We work with Databricks most strategic customers to design, build, and productionize first-of-their-kind data and AI solutions. This team is the right fit for you if you love working side-by-side with customers, collaborating with teammates, and pushing your curiosity across the latest trends in data, applications, and AI innovation. Role Description As a Forward Deployed Engineer (FDE) , you will embed directly with our most strategic customers to design and deliver custom fullstack applications and solutions on the Databricks Data Intelligence Platform and other common software stacks. You will own the architecture, lead design decisions, and implement end-to-end systems spanning data engineering, AI, and application development. This is a hands-on, customer-facing role for software engineers, developers, and builders who thrive at the intersection of technology and business impact. The ideal candidate combines engineering expertise with adaptability, curiosity, and a passion for solving complex problems that drive measurable outcomes. The impact you will have: Own the Architecture: Lead architecture and design decisions, ensuring solutions are secure, scalable, and aligned with both customer needs and Databricks best practices. Application Engineering: Design and develop applications spanning backend, frontend, and integrations, bringing data and AI to life for enterprise users leveraging the Databricks platform. Solution Delivery: Deliver production-grade systems from data ingestion and transformation through ML/AI model integration to user-facing applications and enablement. Customer Immersion: Embed with customer teams, engaging with stakeholders from technical ICs to executives to deeply understand challenges and deliver impact. Cross-Functional Collaboration: Partner with

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