Production Scheduler Enhancement Engineer Jobs

Why Harvey At Harvey, we’re transforming how legal and professional services operate. By combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise, we’re reshaping how critical knowledge work gets done for decades to come. This is a rare chance to help build a generational company at a true inflection point. We have strong product-market fit and world-class investor support. We’re scaling fast and defining a new category in real time. The work is ambitious, the bar is high, and the opportunity for growth — personal, professional, and financial — is unmatched. Our team moves fast, takes ownership, and is deeply committed to the mission — operating with intensity, staying close to our customers, and pushing each other for excellence. We live by three values: Decisiveness, Simplicity, and Job's Not Finished. We act quickly on clear judgment over perfect information, we believe simplicity is what scales, and we're never satisfied with where we are. If you want to do the best work of your career alongside people who share that drive, we'd love to build with you. At Harvey, the future of professional services is being written today — and we’re just getting started. Role Overview Harvey runs on a fleet of Macs and Windows devices, and every one of them is the front door to how each Harvey employee does their work. We're seeking a Senior Systems Engineer to own client engineering end to end - Jamf, Intune, Autopilot, Okta device trust, and more, and the automation that ties them together. This is the person who decides how a laptop gets built, secured, patched, recovered, and retired, and who makes those decisions hold up as we scale across offices globally. The ideal candidate has run a production device management environment at scale and can move between writing the deployment tooling, debugging a broken enrollment, and pushing for improvements to policy, process, and systems along the way. What You'll Do Own the endpoint platform. Jamf Pro f

Here at Appian, our values of Intensity and Excellence define who we are. We set high standards and live up to them, ensuring that everything we do is done with care and quality. We approach every challenge with ambition and commitment, holding ourselves and each other accountable to achieve the best results. When you join Appian, you’ll be part of a passionate team dedicated to accomplishing hard things, together. Manager, Solutions Consulting Readiness Lead the demo readiness engine that powers Appian's global field sales organization, owning the DemoHub platform, reusable asset catalog, and interactive demo experiences that accelerate enterprise deals. Location: Remote | Work Model: Remote About the Team You will lead the demo readiness function within the SPEAR team in Appian's Sales Solutions Consulting organization. This team owns the operating backbone that enables field consultants worldwide to deliver high-impact customer demonstrations at scale. Your work directly accelerates revenue by ensuring every Solutions Consultant has access to curated, production-ready demo assets, environments, and interactive experiences that showcase Appian's AI-Powered Process Automation capabilities. The Opportunity As enterprises accelerate digital transformation, the demand for compelling, tailored demonstrations has never been higher. This role exists to scale demo excellence across Appian's global field organization, ensuring every customer interaction is powered by best-in-class assets, tooling, and environments. You will shape how hundreds of Solutions Consultants demonstrate value to the world's largest enterprises, driving pipeline velocity and win rates through readiness innovation. What You’ll Do Own the full product lifecycle of Appian's internal DemoHub application, including roadmap prioritization, requirements definition, release quality, and adoption measurement across the global Solutions Consulting organization Manage and curate the reusable demo asset librar

Here at Appian, our values of Intensity and Excellence define who we are. We set high standards and live up to them, ensuring that everything we do is done with care and quality. We approach every challenge with ambition and commitment, holding ourselves and each other accountable to achieve the best results. When you join Appian, you’ll be part of a passionate team dedicated to accomplishing hard things, together. Manager, Solutions Consulting Readiness Lead the demo readiness engine that powers Appian's global field sales organization, owning the DemoHub platform, reusable asset catalog, and interactive demo experiences that accelerate enterprise deals. Location: Remote | Work Model: Remote About the Team You will lead the demo readiness function within the SPEAR team in Appian's Sales Solutions Consulting organization. This team owns the operating backbone that enables field consultants worldwide to deliver high-impact customer demonstrations at scale. Your work directly accelerates revenue by ensuring every Solutions Consultant has access to curated, production-ready demo assets, environments, and interactive experiences that showcase Appian's AI-Powered Process Automation capabilities. The Opportunity As enterprises accelerate digital transformation, the demand for compelling, tailored demonstrations has never been higher. This role exists to scale demo excellence across Appian's global field organization, ensuring every customer interaction is powered by best-in-class assets, tooling, and environments. You will shape how hundreds of Solutions Consultants demonstrate value to the world's largest enterprises, driving pipeline velocity and win rates through readiness innovation. What You’ll Do Own the full product lifecycle of Appian's internal DemoHub application, including roadmap prioritization, requirements definition, release quality, and adoption measurement across the global Solutions Consulting organization Manage and curate the reusable demo asset librar

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 Integrations Operations Engineering (IOE) team strengthens Plaid's network with financial institutions by directly resolving integration issues to increase the reliability and quality of data, and by building new integrations to grow our financial network. We sit at the nexus of engineering, a deep understanding of Plaid's products and customers, and direct financial-institution relationships: we write and ship the code that keeps connectivity healthy, we use data to focus on the issues with the greatest customer impact, and we work directly with data partners (the financial institutions and platforms themselves) to resolve the problems that can't be fixed from our side alone. The team plays a mission-critical role in ensuring industry-leading connectivity so our customers can meet ever-expanding financial-services use cases and reach as many users as possible. What You'll Do Investigate and resolve the highest-impact integration issues by writing maintainable, tested code and deploying it to production, then monitor for regression or degradation after your changes ship. Prioritize by customer impact. The team runs a business-value-based prioritization model that automatically

About the team OpenAI’s Applied AI organization turns our latest model capabilities into products used by hundreds of millions of consumers, developers, and organizations worldwide. Our teams build the product experiences and platform foundations behind ChatGPT, Codex, our API platform, and offerings for businesses, enterprises, educational institutions, and other customers. Financial Engineering powers how customers purchase, access, and pay for these products. We build the systems behind pricing and packaging, checkout, payments, subscriptions, usage-based billing, credits, entitlements, invoicing, and the broader order-to-cash lifecycle. Our work spans consumer subscriptions, self-serve businesses, sophisticated enterprise agreements, developer usage, and emerging monetization models. These systems sit at the intersection of product experience and financial infrastructure. They must make it easy for customers to adopt OpenAI products while maintaining strong guarantees around correctness, reliability, security, reconciliation, and auditability. We partner closely with Product, Data Science, Finance, Accounting, Risk, Operations, and Go-to-Market teams to launch new offerings and build a financial platform that can evolve with OpenAI’s rapidly growing product portfolio. We are looking for an experienced engineer to help architect and build the next generation of these systems. In this role, you will: Have 5+ years of professional software engineering experience building and operating production backend, platform, or distributed systems. Have strong fundamentals in API design, data modeling, storage systems, transactional workflows, and event-driven architecture. Have experience building systems where correctness, reliability, observability, security, or data integrity are especially important. Are comfortable owning ambiguous, business-critical problems from initial definition through launch and long-term operation. Bring a product-oriented mindset and care about

About Anyscale: At Anyscale , we're on a mission to democratize distributed computing and make it accessible to software developers of all skill levels. We’re commercializing Ray , a popular open-source project that's creating an ecosystem of libraries for scalable machine learning. Companies like OpenAI , Uber , Spotify , Instacart , Cruise , and many more, have Ray in their tech stacks to accelerate the progress of AI applications out into the real world. With Anyscale, we’re building the best place to run Ray, so that any developer or data scientist can scale an ML application from their laptop to the cluster without needing to be a distributed systems expert. Proud to be backed by Andreessen Horowitz, NEA, and Addition with $250+ million raised to date. About Ray Data Team: Ray Data is Python-native data processing engine that is a one stop shop for all AI data processing needs. Ray Data provides performant, first-class integration with cutting edge AI frameworks using both multi-modal and structured data. The Ray Data team currently develops and maintains Ray Data . We are a team of engineers passionate about building a Data processing engine which is a one-stop shop for all of your ML/AI needs. We are looking for exceptional engineers to build, optimize, and scale Ray for modern and increasingly complex AI workloads. As part of this role, you will: Improve the performance of Ray Data and multi-modal batch inference use cases. Ensure efficient scaling across different stages of the Data pipeline in a heterogeneous environment. Building data loading solutions for production training workloads. Focus on stability and fault tolerance at high scale Working with customers and new age AI native companies in scaling their AI workloads. We'd love to hear from you if have: At least 3-4 years of relevant work experience Solid background in building scalable and fault-tolerant distributed systems Experience with data processing, database internals. Passionate about large

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role We are looking for a hands-on Legal Specialist (Law Enforcement) to join our Litigation, Regulatory & Policy team at Anthropic. In this role, you will be a key player in building out our legal function and running how Anthropic responds to law enforcement and government requests for user data, while navigating the intricate regulatory landscape of the AI industry. We expect this role to flex beyond the law enforcement queue into legal operations to support the broader litigation, regulatory, and policy team. The successful candidate will be a strong team player, able to build positive relationships with colleagues and work collaboratively toward shared goals. Key responsibilities Own the end-to-end response to law enforcement and government requests for user data, from intake and validation through production and closeout, including subpoenas, court orders, search warrants, preservation letters, and emergency disclosure requests from domestic and foreign authorities Prepare and execute data productions: scoping, data retrieval, coordination with counsel, and eventual production Handle foreign and cross-border process, including MLATs and letters rogatory, and manage escalations across jurisdictions Handle civil third-party subpoenas and preservation demands Maintain expertise in where user data lives across Anthropic's product surfaces and operate the internal data retrieval tooling Run and improve the law enforcement response process and tooling Partner with Trust and Safety, Security, Privacy, and Engineering on requests that touch user accounts, investigations, or safety escalations Coordinate with outside counse

Chez Lyft, notre mission est de servir et de connecter. Nous nous efforçons d'y parvenir en cultivant un environnement de travail inclusif où chaque membre de l'équipe a sa place et peut s'épanouir. Lyft Urban Solutions gère les systèmes de vélos et de trottinettes en libre-service qui transportent des millions de personnes dans plus de 60 villes à travers le monde. Nous avons créé le premier système de vélos en libre-service automatisé d'Amérique du Nord et restons à la pointe de la révolution de la micromobilité. Nos systèmes sont présents partout dans le monde : de Citi Bike à New York à BIXI à Montréal, en passant par Divvy à Chicago, Capital Bikeshare à Washington D.C., et des systèmes emblématiques à Austin, Barcelone, Bogota, Boston, Buenos Aires, Columbus, Detroit, Dubaï, Londres, Madrid, Mexico, Monaco, Pittsburgh, Portland, Rio de Janeiro, San Francisco, Toronto et bien d'autres villes. Nous ne sommes pas de simples fournisseurs de technologies : nous exploitons ces systèmes, en développant les logiciels, le matériel et les opérations qui permettent à la micromobilité urbaine de fonctionner à grande échelle. Envie de contribuer à façonner le quotidien de millions de personnes dans leurs villes ? Nous recherchons un(e) ingénieur(e) logiciel Android pour rejoindre l'équipe Expérience utilisateur au sein de Lyft Urban Solutions. Votre travail contribuera directement à l'expérience numérique de nos plateformes de vélos et de trottinettes en libre-service. Vous développerez les systèmes backend qui garantissent une expérience fluide et rapide pour les programmes d'abonnement, les fonctionnalités destinées aux utilisateurs et les interactions en temps réel. Ce recrutement est urgent ; l'équipe a des objectifs ambitieux pour 2026 et recherche des ingénieurs compétents, opérationnels immédiatement. Nos ingénieurs sont des personnes brillantes, pragmatiques et capables de résoudre les problèmes rapidement, assurant ainsi un déploiement continu en production. Respon

At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive. Lyft Urban Solutions powers the bike-sharing and scooter-sharing systems that move millions of people in over 60 cities worldwide. We built North America's first automated bike-share system and continue to lead the micromobility revolution. Our systems operate globally - from Citi Bike in New York to BIXI in Montreal, Divvy in Chicago, Capital Bikeshare in DC, and iconic systems in Austin, Barcelona, Bogota, Boston, Buenos Aires, Columbus, Detroit, Dubai, London, Madrid, Mexico City, Monaco, Pittsburgh, Portland, Rio de Janeiro, San Francisco, Toronto, and beyond. We're not just technology providers - we operate these systems, building the software, hardware, and operations that make urban micromobility work at scale. Ready to shape how millions of people move through their cities every day? We're looking for an Android Software Engineer to join the Rider Experience team within Lyft Urban Solutions. Your work will directly power the digital experiences behind our bike-share and scooter-share platforms. You'll build the backend systems that make membership programs, rider features, and real-time experiences feel seamless and fast. We're moving quickly on this hire; the team has ambitious goals for 2026 and needs strong engineers who are ready to ship. Our engineers are sharp, pragmatic problem-solvers who move fast and deploy to production continuously. Responsibilities: Engineering & Delivery Design, develop, deploy, monitor, operate, and maintain elements of our Rider experience, owning components end to end Write reliable, performant, and maintainable code, with comprehensive test coverage Reduce technical debt and contribute to ongoing improvements in tooling and code structure Analyze internal systems and processes to identify opportunities for improvement and automation Participate in code r

About BlockTech BlockTech is a fast-paced algorithmic market maker facilitating global derivatives and spot trading, originating from crypto markets and expanding into new markets. We trade our own capital on systems that run 24/7 and have to be fast and correct without exception. Our systems run on Linux and are written in Rust and Python. For the Summer of 2027, we're looking for Software Engineer Interns to join our engineering team in Singapore. The role This is a 12-week summer internship at our Singapore office, giving you a unique opportunity to work on an end-to-end project with a real and direct business impact. You'll work in a small team and get the chance to understand how a trading firm actually works from the inside. You will: Participate in a customized training program that will give you an understanding of financial markets in general, the company, and the project. Own a project from design to deployment, guided by experienced software engineers. Work with production-level data and systems. Learn from experienced engineers, traders, and researchers, and see how their work fits together. What we're looking for Currently in your (pen)ultimate year studying computer science or a related discipline at a top university in Singapore Available full-time in Singapore for a duration of 12 weeks over the summer of 2027, starting on the 10th of May Proficiency in a systems language (ideally Rust and/or C++) and working knowledge of Python A solid grasp of data structures, algorithms, and what actually makes code fast A critical mind that follows things until completion, high ownership, and clear communication in English What's in it for you? A summer internship in a relaxed and modern office in the heart of Singapore's financial district (CBD) A dedicated mentor, a team of fellow interns and full-time software engineers, an in-house training program, and exposure to how engineering, research, and trading actually work together The opportunity to work at the fo

PLEASE NOTE : Due to federal contract requirements and client site access obligations, U.S. citizenship and eligibility for a U.S. government secret clearance are required to access classified information. The position is based in the Washington, D.C., Maryland, or Virginia metropolitan area and includes periodic on‑site work and client collaboration. Candidates with an active Secret or higher clearance are strongly encouraged to apply. The AI Forward Deployed Engineering (AI FDE) team is a highly specialized customer-facing AI team at Databricks. We deliver professional services engagements to help our customers build and productionize first-of-its-kind AI applications. We work cross-functionally to shape long-term strategic priorities and initiatives alongside engineering, product, and developer relations, as well as support internal subject matter expert (SME) teams. We view our team as an ensemble: we look for individuals with strong, unique specializations to improve the overall strength of the team. This team is the right fit for you if you love working with customers, teammates, and fueling your curiosity for the latest trends in GenAI, LLMOps, and ML more broadly. This role can be remote. The impact you will have: Develop cutting-edge GenAI solutions, incorporating the latest techniques from Databricks AI research to solve customer problems Own production rollouts of consumer and internally facing GenAI applications Serve as a trusted technical advisor to customers across a variety of domains Present at conferences such as Data + AI Summit , recognized as a thought leader internally and externally Collaborate cross-functionally with the product and engineering teams to influence priorities and shape the product roadmap What we look for: Experience building GenAI applications, including RAG, multi-agent systems, Text2SQL, fine-tuning, etc., with tools such as HuggingFace, LangChain, and DSPy Expertise in deploying production-grade GenAI applications, in

The Applied AI team designs and builds algorithmically driven features in the Datadog app. We work across a range of applications, primarily focusing on analysis on streaming data such as anomaly detection, error outliers and faulty deployment analysis. As an Applied Scientist you will work on building models and algorithms for machine learning powered features within the Datadog platform. You will work closely with our engineering and product partners to explore, build, scale and deliver these features that we incubate within the Applied AI team. At Datadog, we place value in our office culture - the relationships that it builds, the creativity it brings to the table, and the collaboration of being together. We operate as a hybrid workplace to ensure our employees can create a work-life harmony that best fits them. What You’ll Do: Design solutions for our different use cases. You will research and benchmark relevant algorithms to find the best fit for our use-cases Leverage machine learning algorithms and statistical techniques to build new scalable product features Develop, deploy and monitor new and existing features to production Participate in our journal club by reading and presenting the latest academic research papers to the team Explore, analyze and tell the story behind high volumes of data flowing through Datadog systems Maintain and monitor the models, services and infrastructure owned by your team Participate in your team’s on-call rotation Who You Are: You have a BS/MS/PhD in a Computer Science, Engineering, Machine Learning or related scientific field or equivalent experience You have experience working with high-scale systems and datasets including building models, applying machine learning to real business problems, and writing production data pipelines You can explain complex ideas and algorithms to non-technical audiences You care about code simplicity and performa

Data Scientist Lead Location: Hong Kong (Hybrid) | Practice Area : Data & Analytics | Type: Permanent The Role As a Data Scientist Lead at Capco, you’ll help clients optimise fraud models, machine learning platforms and supporting Google Cloud infrastructure, turning detailed analysis into practical, implementation-ready recommendations. You’ll take a hands-on approach to improving model and platform performance, reliability and run-cost across GCP infrastructure and ML pipelines. Working closely with IT infrastructure teams, data scientists and fraud stakeholders, you’ll identify opportunities to reduce compute and inference costs while maintaining effective, resilient solutions. You’ll provide configuration-level and code-level guidance, supported by clear estimates of implementation effort, expected savings and measurable outcomes. You’ll also use approved AI tools and AI-enabled workflows where appropriate to accelerate analysis, improve insight and support delivery, while maintaining human judgement, appropriate review and responsible AI guardrails. What You’ll Do GCP engineering: Lead hands-on design, diagnostics and optimisation across compute, storage and network services, implementing monitoring and observability to improve cost, performance and reliability. Fraud ML modelling: Support the development, validation and deployment of fraud and ML models end-to-end, identifying measurable opportunities to reduce compute requirements, accelerate inference and improve automation. ML and data pipelines: Optimise pipelines spanning ingest, transformation, feature creation and serving, training and inference, with a focus on cost efficiency, performance, resilience and responsible AI-enabled automation where appropriate. Big data and distributed processing: Develop and tune large-scale batch and streaming workloads using Spark or similar technologies, improving efficiency, stability and production readiness. Engineering excellence: Apply strong Python and SQL sk

At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don’t just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset — who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done. At Snowflake, the Senior Product Launch Manager is an integral member of the AI Data Cloud Product Marketing team responsible for orchestrating first-class product launches, building the AI-powered workflows that amplify them, and aligning with our Content strategy execution. This person partners closely with product marketing, product management, enablement, field marketing, and sales to bring new products to market with clarity, speed, and measurable impact, from initial briefing through release and post-launch analysis. This highly organized, execution-driven candidate thrives at the intersection of program management and launch strategy. They can hold a complex, cross-functional launch calendar together while also rolling up their sleeves to build AI-assisted content workflows that scale production across the team. This role works closely with internal stakeholders, serving as a central hub for launch strategy execution and content operations. Location: Hybrid — Menlo Park, Dublin, or Bellevue WHAT YOU'LL DO: Develop and maintain a scalable launch framework that ensures visibility, quality, and measurable business impact, leveraging automation and AI-powered workflows. Own the product launch lifecycle, from planning, tiering, readiness, and enablement to public release

Everpure (NYSE: P) has evolved from storage pioneer to data platform, closing fiscal 2026 with $3.7 billion in revenue, its first billion-dollar quarter, and accelerating growth into FY27. Our strategic agenda spans the companies defining the next era of technology - hyperscalers, AI labs, the AI hardware supply chain, data platform providers, and the broader AI ecosystem. This type of work—work that changes the world—is what the tech industry was founded on. So, if you're ready to seize the endless opportunities and leave your mark, come join us. THE ROLE As a Technical Support Engineer for Portworx® by Everpure ™, you will empower enterprise customers to successfully run containerized workloads at scale across public, private, and hybrid cloud environments . You will act as a trusted cloud-native technical advisor throughout the entire lifecycle—from initial proof-of-concept installations to critical production deployments . In this role, you will collaborate directly with cross-functional engineering, product, and customer success teams to diagnose complex distributed software challenges, accelerate incident resolution, and drive seamless cloud data management for global organizations . WHAT YOU'LL DO Optimize Cloud-Native Deployments: Analyze, troubleshoot, and support large-scale enterprise deployments of Portworx® by Everpure™ across Kubernetes, OpenShift, VMware container solutions, and public cloud platforms to maximize customer platform availability and workload reliability . Drive Full-Stack Incident Resolution: Investigate, reproduce, and resolve complex multi-layer application, storage, and cloud infrastructure issues across all severity levels, leveraging system logs and customer workflows to minimize downtime . Partner with Core Engineering: Collaborate closely with product engineering teams to isolate edge cases, develop reproduction strategies, and implement robust fixes that enhance overall product quality and resilience . Champion Pre-Sales