Production Scheduler Enhancement Engineer Jobs

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. At Okta, our motto is "Always On" and nowhere do we embrace that more than in Technical Operations. We strive to build the most reliable and performant systems on the planet through the skillful use of automation. If you like to be challenged and have a passion for solving large-scale automation, testing, and tuning problems, we would love to hear from you. The ideal candidate is someone who exemplifies the ethics of, “If you have to do something more than once, automate it” and who can rapidly self-educate on new concepts and tools. You will work on: Leading the architecture, design and rollout of the internal developer platform which would span CI/CD, tooling, infrastructure as code (IAC) integrations as well as modernization efforts Enhance existing automation for fleet management and build new features as per the needs of the infrastructure platform Spearhead initiatives and projects that enhance engineer productivity by identifying and mitigating bottlenecks in the development flow Mentoring, managing, and leading a team of SWEs & SREs with a broad range of expertise and experience Triaging and troubleshooting complex production issues to ensure reliability and performance. Working closely with our stakeholders across the organization to ensure our new capabilities are aligned to our competing constraints of reliability, security, and delivery velocity Partnering directly with recruiting and people ops to hire and retain the best talent

We built Bubble with a clear mission: to empower everyone to create software. Our AI visual development platform lets anyone, from first-time entrepreneurs to enterprise teams, take an idea from prompt to fully-functional, scalable app across web, iOS, and Android. With over 6 million users in more than 100 countries, Bubble is breaking down the barriers to entrepreneurship and innovation worldwide. Our Product Bubble is the only fully visual AI app builder that lets you vibe code without the code to go beyond prototypes and launch real apps to real users. Chat with AI when you want speed, edit directly when you want control. Bubble's visual editor lets you fine-tune any detail, from the design to privacy rules and programming logic, so you're never stuck, even if AI hits its limits. Everything you need comes built in: a unified web and native mobile editor, enterprise-grade hosting, security, database management, and automatic scaling that grows with your business. You can build just about anything on Bubble, and our community is living proof. Mailead grew a $10K investment into a $2M valuation, and Faceless.video went from zero to $1M+ ARR in under a year. People aren't just launching products on Bubble, they're building real businesses. See how Bubble builders are shipping apps that change industries, solve problems, and shape the future here: Inspiring builders, breakthrough apps . Why Join Bubble Now? The rise of AI-generated software has validated everything Bubble has been building toward for over a decade. But pure AI-generated code is fragile, hard to debug, and rarely production-ready. Bubble bridges that gap, combining the speed of AI with a structured visual platform that produces stable, scalable, secure software. The people who join Bubble right now will help define what that means for millions of builders around the world. If you've ever wanted to work on something that genuinely changes who gets to build, this is your moment. About the Core Developer

About Ema Ema builds AI Employees for HR, IT and Finance. Our AI Employees take on the busy work across the employee experience, from recruiting, onboarding and benefits to IT support, invoice processing and payroll, so people can spend their time on work that needs them. Founded by former executives from Google, Coinbase, Flipkart, and Okta, our team includes engineers from premier tech companies and graduates of Stanford, MIT, UC Berkeley, CMU, and IITs. We are backed by industry leading investors including Accel, Naspers/Prosus, Creaegis, Section32, and angels like Sheryl Sandberg and Dustin Moskovitz. Headquartered in Silicon Valley and with offices in London, Bangalore and Vancouver, Ema is at the frontier of what Agentic AI can do in production. We ship real systems that run real business processes at scale. Who you are We're looking for an innovative and passionate Machine Learning Engineers to join our team. You are someone who loves solving complex problems, enjoys the challenges of working with huge data sets, and has a knack for turning theoretical concepts into practical, scalable solutions. You are a strong team player but also thrive in autonomous environments where your ideas can make a significant impact. You love utilizing machine learning techniques to push the boundaries of what is possible within the realm of Natural Language Processing, Information Retrieval and related Machine Learning technologies. Most importantly, you are excited to be part of a mission-oriented high-growth startup that can create a lasting impact. You will: Conceptualize, develop, and deploy machine learning models that underpin our NLP, retrieval, ranking, reasoning, dialog and code-generation systems. Implement advanced machine learning algorithms, such as Transformer-based models, reinforcement learning, ensemble learning, and agent-based systems to continually improve the performance of our AI systems. Lead the processing and analysis of large, complex datasets (structu

Who are we? Cohere is the leading security-first enterprise AI company. We build cutting-edge foundation AI models and end-to-end products that are designed to solve real-world business problems. We’re training and deploying frontier models for enterprises who are building AI systems. We believe that our work is instrumental to the widespread adoption of AI and we are looking for folks that want to be part of that. We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. Cohere is a team of researchers, engineers, designers, and more, who are all passionate about their craft. We are a global technology company headquartered in Toronto with key offices in London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul. Join us! Role overview: Code-generating LLMs and autonomous agents are revolutionizing how software is built and tasks are automated. At Cohere, we’re pushing the boundaries of what’s possible with these technologies for enterprises, and we’re looking for a senior member for the Agent Code team. You’ll be at the forefront of research and engineering, driving the development of cutting-edge code LLMs and agent systems that can interact with the digital world to solve complex tasks with minimal human oversight. This role is hands-on and research-driven. You’ll dive into the latest literature on code LLMs and agents, experiment with frontier models, and collaborate with a team of talented engineers and researchers to build scalable, production-ready solutions. At Cohere, we blend engineering and research seamlessly—everyone contributes to both, depending on their interests and organizational needs. We provide access to world-class compute resources, data, and talent to ensure you can do your best work. Note: We have offices in London, Toronto, New York and San Francisco, but we’re also remote-friendly! This team operates primarily between E

Who we are About Privy Our mission is to make privacy and user ownership the default online. To do so, we build simple, flexible APIs and tools for developers that make it easy to build new products on crypto rails. Privy owns the abstractions and infrastructure layer above wallets, integrating across chains, third-party providers, and Stripe products like Treasury and Link. We get to solve hard technical problems while leveraging Stripe's distribution to reach customers like Ramp, Klarna, Deel, Kraken, Hyperliquid, and Fomo — powering experiences for both mainstream users and crypto natives. Learn more about Privy: Privy and Stripe: Bringing crypto to everyone About the team Engineering at Privy is distinguished by: High urgency: Shipping very small iterations, very fast, to learn very quickly. Product taste: Our customers are developers, and to build effective products for them requires technical knowledge - you will often be "the PM". Security mindset: A great portion of our product is trust. While we have a dedicated security team, every engineer brings security to their designs from the start. In practice, we use boring technology like Node, React, and AWS so we can focus our engineering energy entirely on pushing the boundaries of Privy's core product, e.g. through hardware enclaves, multi-region low latency APIs, and blockchain abstractions that are accessible to mainstream developers. What you'll do Design and build the backend systems that power wallets, identity, and onchain infrastructure at scale Create platform primitives and APIs that enable teams across Privy and Stripe to build faster Lead complex technical initiatives across architecture, data, and distributed systems Improve the scalability, reliability, and performance of our core platform Help shape our technical direction through high-leverage engineering work Who you are Minimum requirements Deep experience building and maintaining a production system at scale An understanding of mo

System Engineer, Linux Technology A Career with point72’s Technology team As Point72 reimagines the future of investing, our Technology team is constantly evolving our firm’s IT infrastructure and engineering capabilities, positioning us at the forefront of a rapidly evolving technology landscape. We’re a team of experts who experiment and work to discover new ways to harness open-source solutions, modern cloud architectures, and sophisticated Artificial Intelligence (AI) solutions, while embracing enterprise agile methodologies. Our commitment to building and innovating in the AI space provides the framework intended to drive smarter decision making and enhance how we build and operate our platforms and applications. As a member of Point72’s Technology team, we encourage and support your professional development from day one—helping you advance your technical skills, contribute innovative ideas, and satisfy your own intellectual curiosity—all while delivering real business impact for our multi-billion-dollar global business. What you’ll do Support, maintain, and troubleshoot Linux systems in production and development environments Assist with system provisioning, configuration, and lifecycle management Monitor system performance, availability, and capacity; respond to incidents and outages Work closely with developers and quants to support research and trading workloads Automate operational tasks using scripting and configuration management tools Assist with patching, upgrades, and vulnerability remediation Maintain documentation and operational runbooks Participate in on-call rotation (as appropriate for level) What’s REQUIRED Bachelor’s degree in computer science, information technology, engineering, or a related field. 5+ years of professional experience administering Ubuntu Linux systems and ZFS Strong understanding of Linux fundamentals including processes, memory, CPU, filesystems, and networking as well as systemd, cron, logging, and package manag

Atlas Search is a multi-cloud service that allows users to execute complex full text and vector search queries using the MongoDB Query Language . Our users are free to focus on relevance and data retrieval instead of the machinery needed to search data at scale. Our team is building the cloud-based distributed systems software responsible for the lifecycle of search indexes including: data ingestion, index building, partitioning, performance, availability, and backup management. Our product is quickly gaining traction with customers and we are making core architectural improvements that you will contribute to. We are looking to speak to candidates who are based in San Francisco, CA for our hybrid working model. Successful candidates will have the following qualities: 2+ years of hands-on experience designing, building, testing, and maintaining industrial-strength backend software in a complex codebase Experience developing distributed systems and multithreaded applications Experience with at least one modern statically typed programming language, and interest in working with Java Excellent verbal and written technical communication skills and enthusiasm for collaborating closely with colleagues A growth mindset and the desire to learn quickly through taking on challenges, reflecting on outcomes, and incorporating feedback A strong sense of ownership over their work, from initial design all the way through maintaining code in production You will: Contribute to the design, implementation, and support of projects that improve the scalability of Atlas Search to make using it a seamless experience for even the largest workloads Work with a collaborative team that prioritizes sound technical decision-making and building systems that our customers love and that we are proud of as engineers Have the opportunity to lead projects and own subsystems Provide input on the team’s roadmap and help determine the architecture of our system Success measures: In 3 months you’ll have a

About Graviton Research Capital: Graviton Research Capital is a cutting-edge high-frequency trading firm that leverages technology, quantitative research and algorithms to trade in global markets. Our team consists of world-class technologists, researchers and traders who collaborate to push the boundaries of automated trading. Role Overview : We’re looking for a Central Execution Trader to join our Singapore team and become a key player on the Central Trading Desk . This team interfaces with, and acts as the communication hub for all brokers and exchanges on behalf of the firm externally, as well as technology, quantitative researchers, risk management, compliance, and business development teams internally. In this role, you’ll be building and refining systems that keep our live trading running flawlessly. From designing real-time monitoring tools to automating critical workflows, you’ll be at the heart of ensuring smooth and efficient trade execution. Key Responsibilities: Own one or more markets and the day-to-day execution and operational health of the live strategies in them. Start strategies at the open, track their state and positions through the session, and close the day with correct positions and files for the next session. Act as the first line of defense for alerts, order rejects and outages in those markets, and as the primary contact for brokers and exchanges on live issues. Diagnose the issue, contain the impact and hand the root cause to the owning quant or technology team. Build and enhance real-time monitoring and safety tooling for live and post-trade environments. Design checks that detect abnormal order flow, position and PnL moves, and surface them to the desk in time to act. Work on live data from the firm's trading systems and from brokers, and take the tooling from idea to production on the desk. Communicate clearly on incidents, resolutions, and process improvements with cross-functional teams, ensuring zero ambiguity. Required Skills

A Career with Point72's AI/ML – Investment Services Team The AI/ML – Investment Services team at Point72 spearheads the development of cutting-edge AI solutions that seek to transform our business processes and enhance enterprise intelligence. The team aims to bridge the gap between business challenges and technological innovation, collaborating with stakeholders across the firm and leveraging expertise in generative AI, data engineering, and machine learning. WHAT YOU'LL DO Design and build scalable, high-performance backend systems that power investment services and AI-driven applications, and own their end-to-end lifecycle Build and operate robust data pipelines for batch and streaming workloads to ingest, transform, validate, and deliver data to models and downstream consumers Integrate and productionize generative AI capabilities and large language model solutions, including model serving, embeddings, and API-based workflows to augment investment workflows Implement and maintain microservices and APIs that expose data and model functionality with a focus on reliability, low latency, and security Optimize system performance and resilience through monitoring, observability, capacity planning, and automated incident response Lead cross-functional delivery of prototypes into production by collaborating with data scientists, researchers, product owners, and operations teams Build and maintain CI/CD pipelines, automated testing, and deployment practices to accelerate safe delivery and rollback of services Mentor and coach engineers on backend and data engineering best practices, help grow engineering capability, and contribute to the technical roadmap Collaborate with security, compliance, and infrastructure partners to ensure data governance, access controls, and operational controls are integrated into solutions WHAT'S REQUIRED Bachelor's degree in computer science, software engineering, or a related technical field At least 5 years of professional software enginee

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. The Product Data Science team is looking for a Full-stack Senior Data Scientist to come aboard and be part of Snowflake’s most critical initiatives. In this role, you will work closely with our Product and Engineering teams on everything from core operations, to innovative AI/ML tools, to our fastest-growing new and experimental features. You will work on long-running analytical initiatives yielding substantial product enhancements. This is a strategic, high-impact role that will help shape the future of Snowflake products and services. PLEASE NOTE: The position level is determined during the interview process and is influenced by various factors, including experience, educational attainment, skill level requirements, and overall interview performance. AS A SENIOR FULL STACK DATA SCIENTIST AT SNOWFLAKE YOU WILL: Be a proactive partner to Product Management and Engineering to shape feature roadmaps and help design metrics and analytical workflows to evaluate their success and effectiveness. Build efficient data models and high quality production pipelines and partner with Engineering for all necessary telemetry. Build scalable and extensible analytics/ML/causal inference frameworks to uncover feature usage patterns, subtle issues with the system, potential performance enhanc

About Ema Ema builds AI Employees for HR, IT and Finance. Our AI Employees take on the busy work across the employee experience, from recruiting, onboarding and benefits to IT support, invoice processing and payroll, so people can spend their time on work that needs them. Founded by former executives from Google, Coinbase, Flipkart, and Okta, our team includes engineers from premier tech companies and graduates of Stanford, MIT, UC Berkeley, CMU, and IITs. We are backed by industry leading investors including Accel, Naspers/Prosus, Creaegis, Section32, and angels like Sheryl Sandberg and Dustin Moskovitz. Headquartered in Silicon Valley and with offices in London, Bangalore and Vancouver, Ema is at the frontier of what Agentic AI can do in production. We ship real systems that run real business processes at scale. Role Overview We are seeking a seasoned AI Strategist to lead strategic enterprise accounts and play a pivotal role in shaping high-impact AI engagements. This role will work closely with our Executive Leadership Team, providing leverage on our most important deals and helping drive transformative AI adoption across major enterprises. The ideal candidate has previously served as a Senior Engagement Manager (or equivalent) at a top-tier consulting firm such as McKinsey, BCG, Bain, or comparable management consulting firms, and is familiar with complex enterprise sales motions. You must be comfortable engaging at C-level, shaping AI strategy for customers, and partnering cross-functionally to orchestrate successful outcomes. Key Responsibilities Strategic Account Leadership Own and drive AI strategy for high-value enterprise accounts Partner with executive sponsors, customer success, solution engineering, and product to deliver winning AI solutions. Act as the strategic advisor to client leadership, helping define AI transformation roadmaps and business cases. Deal Strategy & Executive Leverage Work closely with the CEO, CRO, and broader leadership team

Who are we? Cohere is the leading security-first enterprise AI company. We build cutting-edge foundation AI models and end-to-end products that are designed to solve real-world business problems. We’re training and deploying frontier models for enterprises who are building AI systems. We believe that our work is instrumental to the widespread adoption of AI and we are looking for folks that want to be part of that. We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. Cohere is a team of researchers, engineers, designers, and more, who are all passionate about their craft. We are a global technology company headquartered in Toronto with key offices in London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul. Join us! Role Overview: The integration team is responsible for developing and scaling machine learning algorithms and infrastructure for LLM post-training, with a focus on large-scale, distributed RL methods. We strive for excellence in both engineering and science by meticulously designing experiments and design docs. While tasks are assigned according to everyone’s expertise, there is a global team effort to write production code and support the team research efforts, depending on individual interests and organizational needs. In particular, this role aims to enhance the global quality of the post-training codebase by implementing new tools to ease and support research, optimizing post-training algorithms, and scaling distributed RL to unprecedented levels. Please Note: We have offices in London, Paris, Toronto, San Francisco, New York but we are also remote-friendly! Applicants for this role may work anywhere between UTC−06:00 and UTC+01:00. Key Responsibilities: Design and write high-performing and scalable software for training models. Develop new tools to support and accelerate research and LLM training. Coordinate with other engi

Reddit is a community of communities. It’s built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet. Every day, Reddit users submit, vote, and comment on the topics they care most about. With 100,000+ active communities and approximately 130 million daily active unique visitors, Reddit is one of the internet’s largest sources of information. For more information, visit www.redditinc.com . At Reddit, machine learning sits at the heart of how millions of people discover, connect, and engage with the world’s largest collection of human conversations. From powering personalized recommendations and search to optimizing advertising systems and marketplace dynamics, our ML engineers tackle some of the most interesting and impactful problems in large-scale applied machine learning. We hire Machine Learning Engineers across both our Consumer and Ads organizations, giving you the opportunity to work on a wide range of high-impact problems across the Reddit ecosystem. We are looking for Machine Learning Engineers who are excited to build systems end-to-end, from research and modeling to production deployment, — and who want to help shape the future of discovery, relevance, and monetization at Reddit. If you love working on complex, real-world ML problems at massive scale, this role is for you. What You’ll Work On As a Machine Learning Engineer at Reddit, you will design and build production ML systems that power core experiences across the platform, including: Personalized recommendations, search, and ranking systems that help users discover the most relevant content and communities Intelligent advertising systems including ranking, bidding, measurement, and optimization Content, Advertisers, and User understanding, from building foundational content/user representations to deriving insightful signals Large-scale machine learning pipelines, model serving infrastructure, and real-time decision systems Applied AI and

Reddit is a community of communities. It’s built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet. Every day, Reddit users submit, vote, and comment on the topics they care most about. With 100,000+ active communities and approximately 130 million daily active unique visitors, Reddit is one of the internet’s largest sources of information. For more information, visit www.redditinc.com . At Reddit, machine learning sits at the heart of how millions of people discover, connect, and engage with the world’s largest collection of human conversations. From powering personalized recommendations and search to optimizing advertising systems and marketplace dynamics, our ML engineers tackle some of the most interesting and impactful problems in large-scale applied machine learning. We hire Machine Learning Engineers across both our Consumer and Ads organizations, giving you the opportunity to work on a wide range of high-impact problems across the Reddit ecosystem. We are looking for Machine Learning Engineers who are excited to build systems end-to-end, from research and modeling to production deployment, — and who want to help shape the future of discovery, relevance, and monetization at Reddit. If you love working on complex, real-world ML problems at massive scale, this role is for you. What You’ll Work On As a Machine Learning Engineer at Reddit, you will design and build production ML systems that power core experiences across the platform, including: Personalized recommendations, search, and ranking systems that help users discover the most relevant content and communities Intelligent advertising systems including ranking, bidding, measurement, and optimization Content, Advertisers, and User understanding, from building foundational content/user representations to deriving insightful signals Large-scale machine learning pipelines, model serving infrastructure, and real-time decision systems Applied AI and

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. The Engineering Architect Team The Architecture team is a small group of very senior engineers reporting to our VP of Engineering Excellence, working broadly across the organization in collaboration with Engineering, Product, and Security. We partner deeply with other Engineering teams for large projects, and provide direction and architectural guidance for smaller initiatives. We have a dual-pronged charter to “level up the tech stack and level up the people stack” via both technical contributions and partnerships/mentoring. In this role, you will have the opportunity to significantly contribute to Auth0’s future technology direction. Through your experience, knowledge of industry trends, and technical abilities you will provide guidance, build proof of concepts, and deliver production software implementations that help Auth0 Engineering teams move faster by using and developing standard patterns and technologies. You will also help advance the engineering culture and help uplevel other engineers. Note that while this role involves a lot of guidance, documentation, and leadership, it also requires substantial hands-on coding and development of both applications and systems. What you’ll be doing You will collaborate with Product, Security, and Engineering teams to define and continually improve Auth0’s technology stack and architecture. Foster and lead innovation in the IAM space, with a strong focus on Agentic Identity Lead initiat