Performance And Systems 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. The Snowhouse Foundation team builds our globally distributed data warehouse. We manage a vast array of petabyte scale data sets that are continuously ingested, processed and replicated from across all Snowflake environments and external data sources. Snowhouse powers all of Snowflake’s core business, engineering and data science needs and provides customers with full visibility into their account activities, usage, and resource consumption from all their global environments. The team is investing in multiple critical areas, including a pipeline authoring platform, high performance/high efficiency data export, ingestion and data layout. Our team is also responsible for a fundamental product for Snowflake’s customers: the Snowflake system database/application that provides customers with all usage insights they need to reason about their global Snowflake footprint as well as 1st party business logic such as ML powered functions and Budgeting applications. AS A PRINCIPAL SOFTWARE ENGINEER IN SNOWHOUSE FOUNDATION, YOU WILL: Design and implement innovative highly available distributed platforms and pipelines and enhance the overall Snowflake data infrastructure Lead and drive projects from idea formulation to design, implementation and successful productionization. Collaborate

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 Modern Virtualization team to engineer the next generation of enterprise storage for cloud-native and virtualized environments. You will architect and deploy best-in-industry Kubernetes, Nutanix, and OpenStack integrations, bringing enterprise-grade storage mobility and automation directly to our customers’ mission-critical workloads. You’ll collaborate closely with global engineering leads to design robust, production-ready code that defines the future of our storage ecosystem and ensures seamless platform interoperability. WHAT YOU'LL DO Feature Architecture & Development: Architect, develop, and deliver scalable features across Kubernetes (OpenShift), OpenStack, and Nutanix stacks for FlashArray and FlashBlade, ensuring seamless, enterprise-grade storage performance for virtualized platforms. End-to-End Ownership: Own the full lifecycle of your features, from initial design and implementation to writing rigorous test automation, guaranteeing high reliability and stability for mission-critical production workloads. Cross-Functional Collaboration: Partner with engineering teams across geographies to drive design reviews, troubleshoot complex distributed system challenges, and continuously elevate our engineering practices, code quality, and test coverage. WHAT YOU'LL BRING Core Engineering Proficiency: Deep hands-on expertise in building production-grade software using Go, Java, or Python, with a pro

To provide technical expertise and hands-on support in the operations and maintenance of CNG stations, ensuring the reliable and efficient delivery of services. The Operations and Maintenance Engineer plays a critical role in executing maintenance activities, troubleshooting technical issues, and ensuring compliance with safety and regulatory standards, all while contributing to the continuous improvement of operational processes and the overall performance of the system. Source: Adani Group | Job ID: 56937

To provide technical expertise and hands-on support in the operations and maintenance of PNG pipelines, ensuring the reliable and efficient delivery of services. The Operations and Maintenance Engineer plays a critical role in executing maintenance activities, troubleshooting technical issues, and ensuring compliance with safety and regulatory standards, all while contributing to the continuous improvement of operational processes and the overall performance of the system. Source: Adani Group | Job ID: 54301

To provide technical expertise and hands-on support in the operations and maintenance of CNG stations, ensuring the reliable and efficient delivery of services. The Operations and Maintenance Engineer plays a critical role in executing maintenance activities, troubleshooting technical issues, and ensuring compliance with safety and regulatory standards, all while contributing to the continuous improvement of operational processes and the overall performance of the system. Source: Adani Group | Job ID: 54349

Leidos has an exciting opportunity for a Lead Technical Project Manager (TPM) in our Enterprise Science Business Area specifically supporting our NASA customer. At Leidos, we offer competitive benefits, including Paid Time Off, 11 paid Holidays, Immediate Vesting in our 401K, Flexible Schedules, Discounted Stock Purchase Plans, Technical Upskilling, Education and Training Support, Parental Paid Leave, and much more. Join us and make a difference in NASA’s Mission! The Lead Technical Project Manager leads complex technical initiatives while also overseeing and guiding a team of Project Managers to ensure successful planning, coordination, and execution. This is a working Lead position, responsible for directly managing complex technical projects while also optimizing team performance, developing the technical capabilities of the TPM team, resolving cross-project challenges, managing resources, and maintaining consistent delivery standards across all efforts. PRIMARY RESPONSIBILITIES: Lead technical planning, architecture alignment, schedule management, and execution across one or multiple NASA projects. Ensure project activities integrate engineering constraints, system lifecycles, technical readiness, and solution architecture. Identify and diagnose technical blockers, working directly with engineering and technical SMEs to enable faster issue resolution and to reduce schedule delays. Understand and challenge technical decisions and workflows rather than simply relaying them administratively. <sp

Reolink , a leader in intelligent visual technology for homes and businesses, was founded in 2009 by a group of engineers with a strong commitment to and passion for smarter security solutions. Our products are now trusted by millions of users across more than 110 countries and regions worldwide. Building on this trust, we continue expanding our presence and bringing our innovations to more markets around the globe. Reolink remains committed to delivering advanced, reliable, and user‑centric solutions that empower people to protect what matters most. Position: E-commerce Data Analysts 5 Work Days Per Week Office Near Tai Seng MRT, Singapore Medical Benefits Provided Entitled to Yearly Bonus & Performance Bonus Background of E-Commerce Team Our e-commerce platform focus on Reolink Official Website & Amazon for different region particularly for the Australia and Europes & United States. Responsible driving business decisions through data analysis and visualization, job scopes include: Driving actionable insights: Analyzing data to generate insights that improve performance, profitability, and guest experience across various e-commerce platforms. Data analysis and reporting: Building data pipelines, self-service dashboards, and developing new in-house API features to drive growth and extend reach into other ecosystems/platforms. Collaboration with teams: Working with product management, engineering, and design teams to ensure data-driven decisions align with business goals. Data quality and integrity: Validating data quality, investigating data issues, and collaborating with data engineering teams to improve data pipelines and definitions. Supporting business decisions: Providing professional data support for business product decisions in e-commerce scenarios and building an e-commerce product metric system. E-commerce Data Analysts play a crucial role in the e-commerce industry, leveraging data to enhance business strategies a

We are looking for a General Manager to own the strategy, product direction, operating model, and business outcomes for Command , Asana’s dedicated product for software development teams. Leading across Product, Engineering, Design, Data Science, User Research, Marketing, Sales, and Customer Success, you will align team priorities to transform technical work orchestration into a scalable enterprise business. In this cross-functional leadership role, you will define market strategy, drive product quality, and establish Command as a pivotal pillar in Asana’s broader human-agent operating system vision. This role is based in our New York City office with an office-centric hybrid schedule. The standard in-office days are Monday, Tuesday, and Thursday. Most Asanas have the option to work from home on Wednesdays. Working from home on Fridays depends on the type of work you do and the teams with which you partner. If you're interviewing for this role, your recruiter will share more about the in-office requirements. What you’ll achieve Develop and communicate a clear, legible strategy and roadmap for Command within Asana’s product portfolio. Own the business plan and operational metrics, including adoption, retention, engagement, and commercial expansion. Build, lead, and scale a customer-centric cross-functional organization spanning product, engineering, go-to-market, and research functions. Drive overall product quality, performance, and developer trust in close partnership with Engineering and Design. Define how AI Teammates and the Enterprise Work Graph create differentiated workflows for technical teams. Establish clear go-to-market positioning, packaging, and enterprise proof points to drive repeatable customer demand. About you Demonstrates curiosity about AI tools and emerging technologies, with a willingness to learn and leverage them to enhance productivity, collaboration, or decision-making. Experience as a GM, product executive, founder, or equivalent lea

We are looking for a General Manager to own the strategy, product direction, operating model, and business outcomes for Command , Asana’s dedicated product for software development teams. Leading across Product, Engineering, Design, Data Science, User Research, Marketing, Sales, and Customer Success, you will align team priorities to transform technical work orchestration into a scalable enterprise business. In this cross-functional leadership role, you will define market strategy, drive product quality, and establish Command as a pivotal pillar in Asana’s broader human-agent operating system vision. This role is based in our San Francisco office with an office-centric hybrid schedule. The standard in-office days are Monday, Tuesday, and Thursday. Most Asanas have the option to work from home on Wednesdays. Working from home on Fridays depends on the type of work you do and the teams with which you partner. If you're interviewing for this role, your recruiter will share more about the in-office requirements. What you’ll achieve Develop and communicate a clear, legible strategy and roadmap for Command within Asana’s product portfolio. Own the business plan and operational metrics, including adoption, retention, engagement, and commercial expansion. Build, lead, and scale a customer-centric cross-functional organization spanning product, engineering, go-to-market, and research functions. Drive overall product quality, performance, and developer trust in close partnership with Engineering and Design. Define how AI Teammates and the Enterprise Work Graph create differentiated workflows for technical teams. Establish clear go-to-market positioning, packaging, and enterprise proof points to drive repeatable customer demand. About you Demonstrates curiosity about AI tools and emerging technologies, with a willingness to learn and leverage them to enhance productivity, collaboration, or decision-making. Experience as a GM, product executive, founder, or equivalent lea

We’re looking for a Senior Product Manager to lead AI Studio, Asana's AI workflow builder, in San Francisco. The Product Management team drives Asana’s product strategy and execution, translating customer needs and opportunities into a compelling roadmap and working cross-functionally to deliver impactful solutions for team productivity and collaboration. In this role, you will own an end-to-end AI product that powers millions of workflows, enabling large enterprise organizations to build, govern, and deploy AI at scale across their organizations. You will join a dynamic cross-functional environment working directly with Engineering, Design, Experience Research, Data Science, and Go-To-Market teams to turn system-critical processes into reliable, automated work inside Asana's work graph. This role is based in our San Francisco office with an office-centric hybrid schedule. The standard in-office days are Monday, Tuesday, and Thursday. Most Asanas have the option to work from home on Wednesdays. Working from home on Fridays depends on the type of work you do and the teams with which you partner. If you're interviewing for this role, your recruiter will share more about the in-office requirements. What you’ll achieve Own the product vision and prioritized roadmap for AI Studio end to end, tying every investment directly to customer impact, business outcomes, and Asana's mission. Drive direct business outcomes for a consumption-based AI product: own reporting, forecasting, and ROI, and define the metrics that connect product usage to revenue on a consumption billing model. Scale AI Studio to reliably support millions of workflows, ensuring the quality, performance, and dependability enterprises require for system-critical processes. Ship automation capabilities that enable enterprise teams to deploy AI across their organizations, ranging from single-team workflows to processes spanning thousands of users. Build for enterprise trust by shaping AI governance, admin contr

Overview: The Data Acquisition team within the Foundations organization at OpenAI is responsible for all aspects of data collection to support our model training operations. Our team manages web crawling and GPTBot services and works closely with Data Processing, Architecture, and Scaling teams. We are looking for a skilled Full-Stack Engineer to join our Data Acquisition team to build and optimize the interfaces and tools that power our data infrastructure. Responsibilities: Develop and maintain full-stack applications that support data acquisition, including internal tools and dashboards. Collaborate closely with cross-functional teams, including Data Processing, Architecture, and Scaling, to ensure seamless data ingestion and workflow management. Design and implement APIs to facilitate data interactions between internal services and external data sources. Enhance user experience by developing intuitive web-based interfaces for managing and monitoring data pipelines. Optimize backend services for performance, scalability, and security in a distributed computing environment. Work with legal and compliance teams to ensure our data acquisition processes adhere to privacy regulations and best practices. Deploy and maintain infrastructure using Kubernetes and Infrastructure-as-Code (IaC) methodologies. Analyze system performance, conduct experiments, and improve data workflows to maximize efficiency. Qualifications: BS/MS/PhD in Computer Science or a related field. 4+ years of industry experience in full-stack development. Proficiency in frontend frameworks (React, Vue, or similar) and backend technologies such as Python, Node.js, or Go. Strong expertise in RESTful APIs, GraphQL, and database design (SQL and NoSQL). Experience building data-intensive applications that handle large-scale datasets. Familiarity with cloud platforms (AWS, GCP, or Azure) and container orchestration (Kubernetes, Docker). Prior experience with web crawling and large-scale data processing is a

About Forma.ai: Forma.ai is a Series B startup that's revolutionizing how sales compensation is designed, managed and optimized. We handle billions in annual managed commissions for market leaders like Edmentum, Stryker, and Autodesk. Our growth has been fuelled by our passion for fundamentally changing and shaping how companies use sales intelligence to drive business strategy. We’re welcoming equally driven individuals who are excited about creating something big! About the Team: The Customer Operations team works closely with new and existing customers by implementing product features, managing the operational parts of the platform, and optimizing our client’s sales performance management processes. We are always ready to support and help our customers to identify ways they can unleash the revenue-driving potential of their sales compensation program. If you’re passionate about data analytics and want to contribute to sales operations, we’d love to hear from you! What you’ll be doing: Own the day-to-day customer relationship, building strong working relationships with senior client stakeholders across a portfolio of customers Act as an architect for a new customer, translating data inputs and required business logic into Forma rule / system logic, commission engine architecture and outputs Learn design of the company's platform to the extent of being able to independently complete updates, enhancements, and change requests Work with Forma.ai's Product and Engineering teams to articulate customer feedback that informs the priority of new product features and to implement new platform features to support continuous improvement and automation Manage customer expectations regarding deliverables and project timelines, ensuring Forma is positioned for success Develop a deep understanding of each client's strategic positioning, key products, business model, and strategic objectives. Be responsible

About Forma.ai: Forma.ai is a Series B startup that's revolutionizing how sales compensation is designed, managed and optimized. We handle billions in annual managed commissions for market leaders like Edmentum, Stryker, and Autodesk. Our growth has been fuelled by our passion for fundamentally changing and shaping how companies use sales intelligence to drive business strategy. We’re welcoming equally driven individuals who are excited about creating something big! About the Team: The Customer Operations team works closely with new and existing customers by implementing product features, managing the operational parts of the platform, and optimizing our client’s sales performance management processes. We are always ready to support and help our customers to identify ways they can unleash the revenue-driving potential of their sales compensation program. If you’re passionate about data analytics and want to contribute to sales operations, we’d love to hear from you! What you’ll be doing: Own the day-to-day customer relationship, building strong working relationships with senior client stakeholders across a portfolio of customers Act as an architect for a new customer, translating data inputs and required business logic into Forma rule / system logic, commission engine architecture and outputs Learn design of the company's platform to the extent of being able to independently complete updates, enhancements, and change requests Work with Forma.ai's Product and Engineering teams to articulate customer feedback that informs the priority of new product features and to implement new platform features to support continuous improvement and automation Manage customer expectations regarding deliverables and project timelines, ensuring Forma is positioned for success Develop a deep understanding of each client's strategic positioning, key products, business model, and strategic objectives. Be responsible

About Forma.ai: Forma.ai is a Series B startup that's revolutionizing how sales compensation is designed, managed and optimized. We handle billions in annual managed commissions for market leaders like Edmentum, Stryker, and Autodesk. Our growth has been fuelled by our passion for fundamentally changing and shaping how companies use sales intelligence to drive business strategy. We’re welcoming equally driven individuals who are excited about creating something big! About the Team: The Customer Operations team works closely with new and existing customers by implementing product features, managing the operational parts of the platform, and optimizing our client’s sales performance management processes. We are always ready to support and help our customers to identify ways they can unleash the revenue-driving potential of their sales compensation program. If you’re passionate about data analytics and want to contribute to sales operations, we’d love to hear from you! What you’ll be doing: Own the day-to-day customer relationship, building strong working relationships with senior client stakeholders across a portfolio of customers Act as an architect for a new customer, translating data inputs and required business logic into Forma rule / system logic, commission engine architecture and outputs Learn design of the company's platform to the extent of being able to independently complete updates, enhancements, and change requests Work with Forma.ai's Product and Engineering teams to articulate customer feedback that informs the priority of new product features and to implement new platform features to support continuous improvement and automation Manage customer expectations regarding deliverables and project timelines, ensuring Forma is positioned for success Develop a deep understanding of each client's strategic positioning, key products, business model, and strategic objectives. Be responsible

Roles & Responsibilities Displays structured problem solving, application of right tools &amp; techniques to solve open ended problems, Creates productized analytics solutions or frameworks independently. Understand Business &amp; product problems and come up with deep data backed solutions. Root cause analysis and Deep dive analysis of certain product problems Running and maintaining the reporting system, presenting insights at a weekly forum Building templates, dashboards in Power BI, Gsheets for operational and management reporting Data extraction as per business request for Ad hoc analysis Business analysis and understanding Evaluating metrics to be tracked as per business goals, exploring other available metrics for deeper understanding of product performance Work in a fast-moving environment, across multiple projects with varying levels of complexity and detailing Desired Skills and Experience: 3 - 5 years working with large data sets and conducting quantitative analysis Some understanding of Statistics and prior experience of building statistical models (e.g. hypothesis testing, product experimentation, A/B Testing, regressions). Excellent knowledge SQL and intermediate knowledge of data manipulation language such as R/Python Previous experience with working on ecommerce funnels, retention Ability to think through product and business metrics to assess product features Knowledge of business modelling and basic knowledge of financial metrics, would be a bonus Quick learner and ability to work in dynamic work environment Team player and comfortable interacting with people from multiple disciplines Established expertise in designing new dashboards, identifying the right metrics, layout; displays proficiency in building dashboards on Power BI using best practices and intuitive Qualifications Bachelor’s in engineering, Computer Science, Economics, Statistics, or related discipline from a reputed institute ...........................