Operations Performance And Analytics Engineer Jobs

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. Staff Network Engineer Location: MPK/Bellevue/Dublin Snowflake's Enterprise Technology Network Services team is looking for a Senior Network Engineer to lead the design, operation, and optimization of our Zero Trust and secure-access platform. This role is Zscaler-centric — you will own the health, performance, and roadmap of our ZIA/ZPA deployment — while working across a modern, multi-cloud network stack that supports a global workforce of 10,000+ users. You'll be the escalation point for the most complex connectivity issues and a driver of automation and observability across the environment. What You'll Do Own and operate the Zscaler platform (ZIA, ZPA, ZDX, ZCC) end-to-end, including policy frameworks, app-segmentation models, PAC/traffic-forwarding standards, App Connector topology, and NSS/log-streaming design. Troubleshoot secure-access incidents like tunnel flapping, broker/connector health, SSL inspection edge cases, DNS/DTLS failures, and lead root-cause analysis for systemic issues. Manage Palo Alto firewalls, Panorama and GlobalProtect VPN, while planning migration toward Zscaler solutions. Support Aruba (Central) Wireless, Ekahau and Cisco Catalyst switches globally. Design, install, and configure network devices and ISP circuits at new offices. Build automatio

Our vision is to transform how the world uses information to enrich life for all . Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever. As a Metrology Application Engineer at Micron Technology, you will: 1. Develop, analyze and implement metrology measurement techniques in films with a primary focus on lithography overlay, CD-SEM. Also need to cover ellipsometry/ scatterometry characterization, modeling; XRF, and surface profiling techniques. 2. Perform SWR (Special Work Request) lots to assist Engineers to complete the evaluations for set-up metrology of recipe of newly introduced processes, new process equipment, for process improvement, optimization or characterization 3. Be responsible for driving supplier tool CIP activity, assisting in NPI (New Product Introduction) transfer activity, defining quality metrics, achieving metrology performance, and providing weekly summary updates. 4. Be constantly engaged in the Fab operation and performing tasks to improve quality, reduce cost, reduce cycle time, and improve yield. Detailed analysis of next generation measurement capabilities as well as coordinating evolutionary programs. 5. Deliver reliable and value-adding metrology applications to reinforce Micron's technical competitiveness. Standardize BKM, knowledge and way of working to keep the growth of metrology team. Early engage with TD and MCT for cutting-edge tech introduction. 6. In addition, we are looking for engineers who embrace AI-enabled ways of working, leveraging AI, automation, and data-driven insights to accelerate problem-solving, enhance decision-making, improve operational effi

We are looking for a Quantitative Equity Analyst to join our Quantitative Equity Team! We are a high-performance team embedded in a top-performing quantitative equity fund that manages over $78+ billion USD in financial assets. We are dedicated to the mission-critical operation of our investment engine—a well-tuned machine responsible for generating key decisions that drive trades and investment insights. Leveraging finance skills and cutting-edge technology, we ensure data quality, continuous process improvement, and operational excellence. As a core member of our team, you'll collaborate with investment experts to tackle challenging analytical problems, be accountable to ensure accurate and timely trade generation, and drive operational innovation. Based in West Coast Vancouver, we value mentorship, collaboration, and growth in a supportive and innovative environment. Join us to make a significant impact on our investment engine and overall success. What You Will Do This is an exciting full-time role for individuals who are passionate about learning the quantitative equity investment management business and excited to tackle a broad range of investment, mathematical, and technology challenges. You will start with a comprehensive training program, learning about various elements of quantitative equity investment management and our investment process. You will then continue to a specialized role utilizing data science and process engineering skillsets to accelerate the Quantitative Equities Team’s various investment functions. Your specialized role may involve building, scaling, managing and/or analyzing our quantitative model, portfolios, data assets and optimizers. You will be supported with coaching and mentorship from senior members of the team. We are creating the conditions for you to grow your career steadily over time. Investment Process Management The team you will be joi

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. We are the Snowflake Metadata team. We own Snowflake’s metadata systems that make it easy for customers to query, modify and manage their petabyte-scale data. We develop distributed systems that store and maintain metadata, transaction frameworks that power Snowflake’s query and DML capabilities, asynchronous systems that provide time travel and lifecycle management capabilities and entity metadata supporting DDL capabilities. We also build foundational capabilities that deliver global features like cross-region replication (Snowgrid), data sharing, and data marketplace. AS A PRINCIPAL SOFTWARE ENGINEER AT SNOWFLAKE YOU WILL: Solve real business needs at large scale by applying your software engineering and analytical problem solving skills. Design, develop and support fault-tolerant scalable distributed systems for our Snowgrid and Data Sharing teams. Create architecture and design, influence our product roadmap, and take ownership and responsibility over new projects. Analyze fault-tolerance and high availability issues, performance and scale challenges, and solve them. Mentor and grow junior engineers. Understand trade-offs between consistency, performance and costs to build solutions which can meet the demands of rapidly growing services. Ensure operational readiness of

Join the MongoDB Server Query Execution team, and help us build a world-class distributed open-source database. Our team plays a crucial role in the performance and efficiency of MongoDB's data processing. We are responsible for building and improving the core execution engine that powers all queries, taking a logical query plan produced by the optimizer and turning it into reality. This includes developing the physical operators for data retrieval and manipulation, improving the runtime for complex analytical and transactional workloads, and owning critical components such as our new execution engine. In addition to the core server, we support the query execution needs of other major products like Atlas Streams, Atlas Search and Vector Search, and mongosync, making our work vital to the entire MongoDB ecosystem. You will be joining a globally distributed team with a significant presence in both North America and Europe. While this role is based in the NAMER region, you will regularly collaborate closely with colleagues across different time zones. We support both office-based work in our North America hubs like New York, as well as remote work. We have tons of interesting problems to solve with a direct impact on users for transactional, time-series, and analytical workloads. To meet the ever-increasing data demands of modern applications, we are actively evolving our query system; this includes strategically re-architecting and improving key components of our query execution engine. We need your help to design and build the core of a distributed, flexible schema document database. This role can be based out of one of our North America offices, such as NYC or Palo Alto, or remotely across North America. Candidate Profile 10+ years of hands-on, professional experience in query engine development or database internals Experience with building production-level code with a large user base, robust design structure and rigorous code quality Degree in Computer Science or

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 the FP&A Specialist of Core Platform Business Unit and Platform Engineering Finance , you will drive financial strategy, resource allocation, and operational transformation across our highest-impact product organizations. In this high-visibility role, you will own cost governance across major OpEx and CapEx investments, partnering directly with R&D, Platform Engineering, and senior finance leadership to optimize capital deployment and financial discipline. Rather than just reporting numbers, you will shape business outcomes by developing scalable financial models, automating analytical workflows, and delivering actionable performance insights that influence business performance and resource allocations. WHAT YOU'LL DO Financial Ownership & Cost Control : Manage assigned OpEx and CapEx budgets, cost centers, and financial forecasts, driving monthly and quarterly close reconciliations and variance analyses to maintain strict financial discipline across business units. Planning & Strategic Forecasting : Lead multi-horizon financial planning and P&L modeling to provide executive leadership with accurate performance projections, scenario analyses, and visibility into key cost drivers. Cross-Functional Business Partnership : Partner directly with business and functional managers to evaluate operational priorities, challenge budget assumptions, and deliver actionable financial insights that guide c

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 is in profitable growth mode. We are seeking an experienced Finance Manager who will be a key player in and is truly excited about driving and effectively scaling Okta’s growth. This person will partner with senior leadership and their teams for the Products & Technology organization on all planning, forecasting, and analysis activities. This person will also play a key role in analyses and streamlining processes across the broader Technology organization. This is a fantastic opportunity for a candidate that wants to be part of a dynamic FP&A organization that is operating at an accelerated pace and scaling for the future. The ideal candidate is highly motivated, a team player, a confident business partner, capable of driving action cross functionally, analytical, and outstanding at FP&A. This person is comfortable operating at all levels, with eyes on the strategic big picture, while skillfully managing the financial details. This position will be based in San Francisco CA, with a two day in-office requirement (Tuesday & Wednesday). Job Duties and Responsibilities: Be a strategic financial partner to the Auth0 Engineering organization Own the budgeting and forecasting processes for this function, including: Partnering with business to ensure accuracy for controllable spend and other key metrics based on operational performance Preparing budget vs. actual variance analysis and other relevant reporting

Job Details: Job Description: The Role and Impact As a Software Enabling and Optimization Engineer, you will play a vital role in driving Intel's value and differentiation by collaborating with customers, software vendors, and the open-source community to develop, optimize, and integrate software solutions tailored for Intel products. Your work will directly impact numerous domains such as Audio, AI and adjacent technologies by enhancing software performance and ensuring seamless adoption of Intel technologies. On a day-to-day basis, you will engage in debugging, tuning, and testing software while delivering innovative solutions that optimize customer experiences and product capabilities. Business group The Silicon and Platform Engineering Group (SPE) focuses on advancing Intel's hardware and software platforms through innovation and collaboration. This team drives product development, testing, and optimization to support Intel's strategic goals in diverse markets, including enterprise, cloud, and edge computing. Joining SPE means contributing to Intel's mission of delivering cutting-edge technology solutions to its global ecosystem. Key Responsibilities - Drive customer enabling activities for Intel client platforms across Audio, Computer Vision, Camera, and other software ingredients. - Execute Platform POR features and ensure successful platform bring-up, validation, and customer adoption. - Debug and resolve complex platform issues spanning hardware, firmware, BIOS, operating systems, drivers, middleware, and applications. - Serve as a technical focal point for customer-reported issues, driving root cause analysis and resolution across internal and external stakeholders. - Partner with Microsoft and other OS vendors to investigate and resolve operating system, driver, and platform integration issues. - Collaborate with third-party ecosystem partners including C

We build and operate the compute infrastructure our researchers run on, supporting large-scale processing of historical market data and model training on our own hardware across multiple data centers. Our environment includes bare-metal Linux, virtualization, storage, and GPU clusters, where performance, reliability, and predictable system behavior are critical. Our Infrastructure team covers monitoring and automation, distributed storage, hardware and OS provisioning, GPU clusters and workload scheduling, high-speed networking, L2/L3 Linux support, and security engineering. Engineers here own their tasks end to end, so there's room to go deeper in your area and pick up the parts you haven't touched yet. We’re looking for a Linux Infrastructure Engineer who can work hands-on with server and cluster environments, from deployment and configuration to performance tuning, troubleshooting, and ongoing improvement What You’ll Be Doing: Deploying, configuring, and maintaining Linux-based bare-metal servers across our data centers Building and operating clustered environments, including virtualization, storage, GPU compute, and database clusters Troubleshooting complex Linux, hardware, networking, and cluster-level issues Performance tuning for throughput, latency, stability, and resource utilization Monitoring infrastructure health and performance, identifying bottlenecks, and preventing recurring issues Supporting the full server lifecycle: provisioning, setup, upgrades, and maintenance Improving reliability and predictability during failures, maintenance, and scaling Automating provisioning, configuration, and operational tasks, primarily using Ansible and scripting What We Look For In You: Strong hands-on Linux administration and troubleshooting experience Production experience with on-premise, bare-metal infrastructure Good understanding of Linux performance and bottleneck analysis Experience with: infrastructure monitoring and troubleshooting production issues,

Our vision is to transform how the world uses information to enrich life for all . Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever. Responsibilities: Develop and implement process integration strategies to achieve flawlessly operational semiconductor devices. Work together with diverse groups to identify the most effective methods for incorporating new technologies into current workflows. Conduct data analysis to optimize performance and yield, ensuring world-class quality standards are met. Troubleshoot and resolve process-related issues, applying your proven expertise to maintain high efficiency and reliability. Promote continuous progress projects to compete against and outperform industry norms. Actively apply AI tools to improve work efficiency and productivity. Minimum Qualifications: Master's degree or equivalent experience in Electrical Engineering, Chemical Engineering, Materials Science, or a related field. Proven experience in semiconductor process integration and development. Strong analytical and problem-solving skills. Ability to work well with diverse functional groups. Proficiency in data analysis and statistical process control. Preferred Qualifications: Master's degree or higher in a relevant field, or equivalent experience. Experience with AI tools and their application in semiconductor processes. Familiarity with advanced semiconductor materials and device physics. Proven a

Database Migration Engineer JD We are looking for a hands-on Database Migration Engineer with experience in large-scale enterprise database migrations and Migration Factory environments. Key Responsibilities Execute migrations from Sybase ASE / IBM DB2 to PostgreSQL / Amazon Aurora PostgreSQL / SingleStore . Perform migration assessment, schema conversion, data validation, reconciliation, and performance testing . Execute database cutover, rollback, production go-live, and post-migration stabilization . Troubleshoot migration issues and independently execute migration runbooks across migration waves. Coordinate with application, infrastructure, cloud, and engineering teams . Perform database administration, performance tuning, backup/recovery, and optimization . Develop migration documentation, runbooks, status reports, and operational procedures. Ensure data integrity, availability, security, and compliance throughout the migration lifecycle. Must-Have Skills Sybase ASE + IBM DB2 + PostgreSQL Amazon Aurora PostgreSQL + AWS Hands-on database migration experience Database administration & performance tuning Shell / Python / PowerShell scripting and automation Strong troubleshooting and analytical skills Ability to independently manage end-to-end database migration activities Note: By submitting your application, you consent to being contacted by our Talent Acquisition team via phone call, email, SMS, WhatsApp, or other communication channels regarding your application and relevant career opportunities.

ABOUT BASETEN Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F , led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to to ship AI products. THE OPPORTUNITY We are looking for Senior Software Engineers to join our team. This is a specialized, high-impact role sitting at the intersection of high-performance computing (HPC) and Large Language Model (LLM) engineering. You will not just be building the automated "speedometer and diagnostic" suite for our next-generation AI infrastructure; you will be defining the roadmap, driving key technical decisions, and taking full ownership of the future of this work. RESPONSIBILITIES Benchmarking : Evaluate, run and automate standard LLM quality benchmarks (GSM8K, MMLU) alongside custom performance suites for specific workloads (e.g., long-context window, KV cache reuse, disaggregated serving). DevEx Improvement : Develop and maintain internal GPU-enabled development environments (similar to GitHub Codespaces). You will ensure the team has seamless, high-performance "dev machines" optimized for model experimentation. Tool Development : Build and contribute to open-source tools such as InferenceMAX and genai-bench to automate model evaluation, benchmarking and analysis. System Profiling : Use profilers like PyTorch Profiler, NVIDIA Nsight Systems and py-spy to collect performance profiles, identify bottlenecks, and debug the compute/networking stack. Monitoring & Observability : Develop real-time dashboards and alerts to monitor system health, model startup times, and runtime performance. Continuous Integration : Auto

Who are we? FalconX is a pioneering team of operators, investors, and builders committed to revolutionizing institutional access to the crypto markets. Operating at the intersection of traditional finance and cutting-edge technology, FalconX addresses the industry's foremost challenges: Navigating the digital asset market can be complex and fragmented, with limited products and services that support trading strategies, structures, and liquidity found in conventional financial markets. As a comprehensive solution for all digital asset strategies from start to scale, FalconX operates as the connective tissue empowering clients with seamless navigation through the ever- evolving cryptocurrency landscape. Responsibilities Be part of a trading systems engineering team, dedicated to building out the core trading platforms. Work closely with cross functional teams to improve the system reliability, scalability and security. Engage in and improve the quality supporting the platform. Build and manage systems, infrastructure and applications through automation. Provide operational support to internal teams working on the platform. Work on improvements to bring in high efficiency, reduce latency, deploy systems faster. Practice sustainable incident response and blameless postmortems. Together with your engineering team, you will share an on-call rotation and be an escalation contact for service incidents. Implement and maintain rigorous security best practices across all infrastructure, with a focus on minimizing attack surface and ensuring data integrity. Monitor system health and performance with a keen eye for identifying and resolving issues before they affect trading activity. Manage user queries and service requests (often requiring in depth analysis of the technical and/or business logic of our systems). Proactive approach to problem analysis and resolution of production incidents. Manage Issue tracking and prioritisation of day to day production incidents. Manage platf

Our vision is to transform how the world uses information to enrich life for all . Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever. Job Summary We are seeking a motivated engineer to join the DRAM Systems Engineering team, focusing on the development, evaluation, and optimization of next-generation memory systems for AI accelerators. This role emphasizes research and development across hardware architecture, operating systems, and performance analysis to support Agentic AI inference workloads. If you are ambitious and eager to make an impact in the exciting world of AI and memory systems, this is the perfect opportunity for you! Responsibilities Characterize AI inference workloads and examine memory behavior Build and evaluate tiered memory hierarchies for AI accelerators Study KV cache lifecycles, MoE models, and data placement strategies Compare and optimize explicit versus hardware-assisted data movement Develop, test, debug, and detail system-level and OS components Prototype and evaluate agentic AI systems by building agents and multi-agent workflows using modern frameworks and orchestration patterns (planning, tool use, memory, and context management). Apply these technologies both as workloads under study and as accelerators for internal engineering workflows <h2 style="color:!importan

Job Details: Job Description: The Thin Films Senior Process Engineer will support PVD, CVD, and ALD technologies for dielectric and metal thin-film deposition in a high-volume manufacturing environment. Key Responsibilities Apply advanced expertise in thin-film deposition processes to drive continuous improvement in process performance, sustainment, and technology development. Collaborate with upstream and downstream partners to deliver manufacturing improvements through strong cross-functional engagement and stakeholder management. Own manufacturing processes and/or equipment, ensuring achievement of key performance indicators (KPIs) including safety, quality, cost, productivity, defect reduction, and yield improvement. Develop and execute strategic plans for complex projects, coordinating timelines and dependencies across multiple teams and initiatives. Support manufacturing capacity expansion and technology transfer activities to enable successful ramp-to-volume production. Partner with equipment vendors and cross-functional stakeholders to troubleshoot technical challenges, improve tool performance, and enhance operational efficiency. Lead process development initiatives that support current and next-generation high-volume manufacturing technologies. Design and optimize excursion prevention and detection systems to strengthen process control and minimize manufacturing risk. Lead equipment installation, conversion, qualification, and readiness activities during factory ramps, ensuring all tools are deployed safely, on schedule, and in compliance with quality and manufacturing standards. Drive root cause analysis and implement corrective actions to resolve process and equipment-related issues while improving overall manufacturing stability and performance. <p st