Production Scheduler Enhancement Engineer Jobs

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. The Ubiquiti Prague office is looking for a Network / DevOps Engineer to own how our datacenter infrastructure is deployed, provisioned, and operated. This is a hands-on role for someone who treats infrastructure as software: everything that can be automated, should be. You'll be responsible for production deployments in the DC, device provisioning, and the CI/CD and tooling that makes it all repeatable. Candidates should be prepared to work from our Prague office at least two times per week. Requirements: 5+ years in infrastructure, DevOps, SRE, or a software engineering role with heavy infra ownership Strong hands-on experience with Ansible and Terraform (or equivalent) for provisioning and config management Solid CI/CD experience — building and maintaining pipelines, not just consuming them A software engineer's mindset: you write clean, testable automation and think in terms of idempotency, state, and repeatability rather than one-off scripts Comfortable operating production environments: deployments, rollbacks, monitoring, incident response Good scripting/programming ability (Python, Go, Bash, or similar) Comfortable working close to the hardware and network layer, and debugging across the stack Strong communication and documentation abilities Fluency with modern AI-assisted development tools (Claude Code

MongoDB Technical Services Engineers use their exceptional problem solving and customer service skills, along with their deep technical experience, to advise customers and to solve their complex MongoDB problems. Technical Service Engineers are experts in the entire MongoDB ecosystem - database server, drivers, cloud and infrastructure. This also includes services such as Atlas (database as a service), or Cloud Manager (which helps customers with automation, backup and monitoring of their MongoDB systems). Our engineers combine their MongoDB expertise with passion, initiative, teamwork and a great sense of humor to help our customers to be successful with MongoDB. We are looking to speak to candidates who are based in Mexico City for our hybrid working model. Cool things you’ll do You'll be working alongside our largest customers, solving their complex challenges - resolving questions on architecture, performance, recovery, security, and everything in between. You'll be an expert resource on best practices in running MongoDB at scale, whatever that scale may be. You'll be an advocate for customers' needs - interfacing with our product management and development teams on their behalf. And you'll contribute to internal projects, including software development of support tools for performance, benchmarking, and diagnostics. What you need We consider all candidates with an eye for those who are self-taught, insatiably curious, and multi-faceted. The ideal candidates should have strong technical experience in one (or more) of the following areas Systems administration Distributed systems Network Administration Database architecture and administration Application Architecture Data architecture and design Performance tuning and benchmarking Extra bonus points if you have experience in one or more of Java, Python, Ruby, C, C++, C#, Javascript, node.js, Go, PHP, or Perl If you have an operations background, we prefer experience administering large-scale production environmen

Our vision is to transform how the world uses information to enrich life for all. Join an inclusive team passionate about one thing: using their expertise in the relentless pursuit of innovation for customers and partners. The solutions we build help make everything from virtual reality experiences to breakthroughs in neural networks possible. We do it all while committing to integrity, sustainability, and giving back to our communities. Because doing so can fuel the very innovation we are pursuing. As a Global Planning Modeling Engineer, you will be a central contact for the Manufacturing network, calculating and presenting capital impacts of process changes to senior leaders in manufacturing and R&D! As a part of Operations Central Team, you will be responsible for connecting many parts of the business in order to drive execution of manufacturing and cost savings processes, including Supply Chain, Finance, Engineering, Procurement, Production and planning! Innovation is highly valued at Micron, and you will have the opportunity to develop new tools to expedite, optimize and refine the planning and reporting processes used across the network. The ability to understand and effectively communicate capital impacts of manufacturing changes is crucial. Every day, our team gets to offer suggestions that will build the future of manufacturing through data analysis and a global approach! Optimize capacity of install equipment and lead sites and tool level optimization studies for efficiency improvement. Collaborate with partners to understand future tool and process roadmaps, and calculate network capacity impacts of process changes. Complete financial analysis before new capital equipment is purchased including met

Our vision is to transform how the world uses information to enrich life for all. Join an inclusive team passionate about one thing: using their expertise in the relentless pursuit of innovation for customers and partners. The solutions we build help make everything from virtual reality experiences to breakthroughs in neural networks possible. We do it all while committing to integrity, sustainability, and giving back to our communities. Because doing so can fuel the very innovation we are pursuing. Responsibilities include, but not limited to: Design, develop, and program methods, processes, and systems to consolidate and analyze unstructured, diverse “big data” sources to generate actionable insights and solutions for client services and product enhancement. Interact with product and service teams to identify questions and issues for data analysis and experiments. Develop and code software programs, algorithms, simulation and optimization models, automated processes to cleanse, integrate, and evaluate large datasets from multiple disparate sources. Identify meaningful insights from large data and metadata sources. Interpret and communicate insights and findings from analysis and experiments to product, service, and business managers. Explore and apply new frontier ideas, concepts and technology to enable breakthrough solutions at Micron. Work with management, different departments, and global manufacturing sites to identify optimization opportunities and deliver solutions to continuously improve production metrics. Drive global collaboration, alignment, and benchmarking of optimization and simulation solutions in planning & operations Leverage Artificia

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. At SpaceXSI, we design, build, and operate the largest AI supercomputers in the world, from the ground up. As a member of the Platform Core team, you will be responsible for the lowest layers of the software stack on the devices setting the pace for how fast we can push the frontier of AI. Our team’s software interfaces directly with the core hardware of the supercomputer and its network fabric. Our mission is to expose the full capability of that hardware — limited only by physics — to the rest of the stack, all while retaining the smallest, most robust footprint possible. RESPONSIBILITIES: Build and maintain the lean, high-reliability Linux-based operating system that underpins our supercomputer network fabric. Write (or rewrite) high-performance device drivers to extract the maximum physical capability from our network and compute hardware. Manage deployment, operation, and debugging of our platform in production, including: Rigorous resolution and root-causing of anomalies to ensure the system is constantly improving in reliability. Developing and constantly improving our tools for observability and configuration management. Collaborate with our hardware teams and external p

Zoox's Robot Software Infrastructure team is seeking a passionate software engineer to help develop and advance the common performant operating system that powers several devices on our vehicle including Autonomy systems. This team develops platform-level software and services, including operating systems that enable complex, hardware-accelerated workloads critical for autonomous driving on automotive-grade hardware. We work closely with cross-functional teams—including developers, release management, hardware engineering, manufacturing and operations—to support vehicle development and deployment at scale. You'll have the opportunity to influence the next generation of our platform, hardware, and robotaxi. If you are excited to explore a broad problem space and are mindful of how components fit within a larger system, you may be a great fit! In this role, you will: Design, develop, and maintain the operating system platform that powers various on-bot devices and applications Architect and implement platform-level software to support robust and scalable robotics infrastructure Configure and manage embedded Linux build systems (e.g., Yocto) and bootloader processes (e.g., U-Boot) to ensure reliable system startup and maintenance Develop and optimize device drivers and kernel-space components using C, C++, or Rust to meet performance and reliability requirements Collaborate cross-functionally to support seamless integration and delivery of the OS platform, triage issues, support new hardware bring-up and manufacturing functions Qualifications 8+ years delivering production systems and software applications, 2+ years of delivering custom Embedded Linux operating systems Have a deep understanding of Linux, build systems like Yocto, and bootloaders like U

About Us: Comfrt is one of the fastest-growing direct-to-consumer brands, dedicated to blending mental wellness, inclusivity, and elevated comfort into every piece we create. Our mission goes beyond clothing — we strive to build a community where everyone feels supported and seen. About the Job: We're looking for a talented Art Manager to help define and evolve the visual language of Comfrt across every product category. This role will partner closely with the Design leaders to shape a distinctive and ownable brand aesthetic through graphics, print, pattern, branding, packaging, and storytelling across apparel, home, accessories, and future lifestyle categories. From seasonal collections to special collaborations, you'll help bring the Comfrt vision to life while ensuring every graphic expression feels cohesive, elevated, and unmistakably Comfrt. Responsibilities: Partner closely with the Design Directors to help define, evolve, and maintain the unique visual identity of the Comfrt brand across all product categories. Create original graphics, artwork, branding systems, prints, patterns, typography, and seasonal visual concepts across apparel, home, accessories, packaging, and future lifestyle products. Lead the development of seasonal graphic stories that create a cohesive visual language across collections. Design branding, logos, artwork, and creative assets for collaborations, licensed collections, and co-branded partnerships while ensuring every partnership still feels authentically Comfrt. Develop graphics across a wide range of apparel categories, including logo, licensed, non-logo, placement, repeat, novelty, and specialty graphics. Design packaging, trims, labels, hangtags, and other branded touchpoints that elevate the overall customer experience. Collaborate with Product Design, Production, Marketing, Brand, and Creative teams to bring concepts to life from initial idea through final production. Identify and interpret emerging fashion, graphic, cult

POSITION SUMMARY: The Manager, Clinical Lab is a key leader in Natera’s lab operations who oversees and directs the development, planning, implementation and maintenance of manufacturing methods, processes and operations for new or existing products and technologies. The Manager works closely with groups to ensure strict compliance with good manufacturing practices and CLIA/CAP guidelines at all times. Ensures the effective use of materials, equipment and employees in producing quality products. Monitor and control staffing / labor, capital expenditures, and manufacturing performance. Develops budget and monitors expenditures. Formulates and recommends manufacturing policies, procedures and programs. Selects, develops and evaluates line-management to ensure the efficient operation of the function. PRIMARY RESPONSIBILITIES: Under the direction of Senior lab leadership, and in close collaboration with other Laboratory leadership, this individual provides operational and strategic leadership to laboratory products assigned to the individual. Generates and routinely provides executive-level production/departmental summaries. Monitors workflow and ensures production goals and deadlines are met (e.g. TAT, SLA) Engages in future planning and scales employees and equipment appropriately Gathers and monitors metrics on production deadlines, efficiency, scrap waste, and error rates Monitors the quality control/assurance programs, test results, and equipment (if applicable) Uses metrics in decision-making and to drive changes across the team (e.g. cost reduction, quality improvement) Manages sufficient headcount levels to meet production goals by proactively driving the interview process and managing employee PTO and overtime when necessary. Refines current lab process through continuous improvement projects. Oversees team-specific lab operations. Go-to person when Senior lab leadership is not present; go-to person for knowledge of pr

RDQ127R59 Summary As a Senior Applied ML Engineer on the Applied AI team at Databricks, you will use machine learning, scheduling, and optimization algorithms to maximize the efficiency and performance of our infrastructure. Your work will span the entire stack—from cluster management down to query compilation. You will solve complex, high-impact engineering problems to deliver highly optimized, cost-effective workloads for our customers. Impact You Will Have Accelerate Serverless Growth: Drive the scaling and efficiency of Databricks serverless compute products through advanced optimization techniques. Build Systems: Design end-to-end ML4Sys solutions from the ground up within a lean team of domain experts to support Shape Strategy: Define the roadmap for applied ML investments by collaborating with engineering and product leaders across Databricks. Drive Deployment: Architect, train, and deploy state-of-the-art models that directly improve product performance and cost efficiency. Scale Infrastructure: Build robust ML pipelines, data processing layers, model serving components, and production monitoring systems to help scale Innovate: Research and implement novel modeling techniques tailored specifically to computer systems and distributed environments. Minimum Qualifications Education: Background in Computer Science and Master's degree in Machine Learning, Data Science, or a related computational field (AI, Bioinformatics, EE, Physics, etc). ML Experience: Strong background in building, training, and deploying machine learning models in production. Infrastructure Knowledge: Practical familiarity with cloud computing, distributed systems, and modern data processing frameworks. Core Coding: Proficiency in Python, Scala, or Java. Preferred Skills Advanced Education: PhD in AI, Data Science, or a related technical discipline. Industry Experience: 4+ years of machine learning engineering experience in high-velocity, high-growth environment. Systems Domain:

About us At Design Bridge and Partners, part of WPP, we design brands with the power to move. Pulling people towards them with an irresistible force that compels and connects. With 900 creative minds across 17 studios worldwide, diverse in expertise, experience, backgrounds and beliefs, we are united in our ambition to achieve real impact for our clients’ brands benefiting their business, people and the planet. With expertise across brand strategy, brand design, brand engagement and brand effectiveness our clients across the world include NASA Artemis, Unilever, Coca-Cola, Diageo, Mastercard, Intel, HSBC, Tencent, Twitch, Heineken, Reckitt and the BBC. About WPP WPP is the trusted growth partner for the world’s leading brands. We unite cutting-edge media intelligence and data solutions, world-class creativity, next-generation production, transformative enterprise solutions and expert strategic counsel in a single company – powered by exceptional talent and our agentic marketing platform, WPP Open, to help our clients navigate change, capture opportunity and deliver transformational growth. For more information, WPP.com . About the role We’re looking for a Senior Designer with deep expertise in Consumer Packaged Goods (CPG) / FMCG to join our London studio, someone who wants to create the best work of their career and play a meaningful role in shaping iconic, idea-led brands. This is a hands-on creative role for someone who thrives on packaging innovation, ideation, and high-level craft in equal measure. You’ll work across world-class FMCG accounts, brand identity systems, packaging structures, and extended brand worlds, helping to define clear, single-minded ideas and expressing them with distinctive personality on the shelf and beyond. You’ll collaborate closely with Creative Directors, strategists, print consultants, and structural designers to translate consumer insights into compelling packaging concepts and beautifully crafted outcomes. You’ll help set the stan

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 Join our Core Engineering team to power the foundation of our Enterprise Data Cloud, delivering six 9s of system reliability to global enterprises. In this role, you will take end-to-end ownership of core platform components, solving complex distributed systems challenges through thoughtful software design. Partnering closely with cross-functional engineering teams, you will drive features from concept to production, directly shaping how organizations scale their most critical data. WHAT YOU'LL DO Advance Platform Reliability & Scale: Design and build resilient, high-throughput distributed algorithms to sustain six 9s of continuous uptime across the Enterprise Data Cloud engine. Drive End-to-End Feature Delivery: Lead key platform initiatives from architectural design through production rollout, expanding overall system capabilities for enterprise customers. Resolve Complex System Challenges: Evaluate multi-faceted engineering issues across distributed consensus, resource allocation, and fault tolerance to guarantee performance under high workloads. Collaborate Across Engineering Teams: Partner daily with peer engineers to conduct rigorous design and code reviews, share technical expertise, and influence long-term platform architecture. WHAT YOU BRING C++ Systems Engineering: Technical proficiency writing clean, maintainable, and concurrent C++ production code for high-performance systems. Distributed Systems

Who we are About Stripe Stripe is a financial infrastructure platform for businesses. Millions of companies - from the world’s largest enterprises to the most ambitious startups - use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone's reach while doing the most important work of your career. About the team The administrative business partner team works with Stripe’s leaders to support their day-to-day administrative needs, while also contributing to projects that help drive the company’s strategic priorities. What you’ll do In this role, you will be a critical part of supporting our People Leadership business function by offering administrative support to 2 leaders. Responsibilities Provide complex calendar support for your leaders and, potentially, other members of their team Manage and book travel arrangements and process expense reports Make recommendations to your leaders on time management, prioritization, delegation, and organization Organize and plan team meetings and offsites by assisting with the production of materials and pre-reads, taking notes, and tracking action items Partner with your leader to track key project milestones as well as progress against personal, team, and company goals and targets Establish new—and improve existing—administrative systems and processes Support the operations and culture of your leaders organization Act as a trusted strategic partner and handle highly sensitive data with absolute discretion Who you are We're looking for someone who meets the minimum requirements to be considered for the role. If you meet these requirements, you are encouraged to apply. Minimum requirements You have 5+ years of administrative experience at a fast growing or large company You are exc

Req: FEQ227R196 Location: Tokyo, Japan Mission 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. 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, including evaluation and optimizations Extensive years of hands-on industry data science experience, leveraging common machine learning and data science tools, i.e. pandas, scikit-learn, PyTorch, etc. Experience building production-grade machine learning deployments on AWS, Azure, or GCP Graduate degree in a quantitative discipline (Computer Science, Engineering, Statistics, Operations Research, etc.)

Role Description As a Software Engineer on the Metadata team, you’ll build and operate the large-scale distributed databases that every Dropbox service depends on. Metadata systems are mission-critical, in the live path for all user operations and must meet stringent requirements for latency, durability, and transactional consistency. You’ll design and evolve the core infrastructure that manages Dropbox’s databases at scale, enabling fast, reliable access to data for millions of users and hundreds of internal services. This work spans distributed systems, replication, caching, and transactional database systems. You’ll collaborate closely with engineers across Infrastructure and Product teams to ensure the metadata layer meets business needs and continues to scale with Dropbox’s growth. This is an opportunity to leverage your expertise in distributed systems and grow into broader technical leadership. Our Engineering Career Framework is viewable by anyone outside the company and describes what’s expected for our engineers at each of our career levels. Check out our blog post on this topic and more here . Responsibilities Design and maintain distributed database systems providing low-latency, strongly consistent data access Implement and optimize replication, consensus, and caching mechanisms to meet availability and performance goals Operate production systems, including participating in the on-call rotation, ensuring high availability and data durability Collaborate with infrastructure and product teams to assess current and future use cases and requirements, supporting the development of a mid- to long-term roadmap that reflects these needs Contribute to system design reviews, postmortems, and reliability improvements Write high-quality, efficient code in Go and Rust for performance-critical systems On-call work may be necessary occasionally to help address bugs, outages, or other operational issues, with the goal of maintaining a stable

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 You will join the Portworx team, which is responsible for delivering the highest quality Portworx suite of products. You will be contributing to cleanest code, being customer oriented and putting quality first. You will be involved in developing a secured, consistent best-in-class experience for our customers purchasing and using various Portworx offerings- As a developer in the Portworx team, you will be responsible for design and implementing various features and products on the Portworx portfolio. WHAT YOU'LL DO As a developer in the Portworx team, you will be responsible for design and implementing various features and products on the Portworx portfolio. Your responsibilities include: Designing and developing microservices and integrating new features to Portworx products Bringing a focus on design, development, unit/functional testing, code reviews, documentation, continuous integration and continuous deployment Collaborating with peers and stake-holders to take solutions from initial design to production Take full ownership of design and development activity by adapting to customer feedback and handling issues found in unit testing, system testing and customer deployments Experimenting with new technologies in order to push the state-of-the-art and innovate new solutions We are primarily an in-office environment and therefore, you will be expected to work from the Bangalore office in compliance with E