Engineering Lead Analyst Jobs

About the Team: Tubi's Internal Tools team is at the forefront of AI integration, developing everything from developer resources to production-grade AI for business operations. We are the group responsible for turning AI from an experiment into an operating capability: training, infrastructure, developer agents, and AI-powered business systems. Engineers operate with high ownership and autonomy, collaborating on shared architectural decisions and AI infrastructure. What You'll Do: Own systems end to end — design them, build them, and support them in production. Lead the projects you own: sequence the work, decide what lands first, and set technical direction for the engineers working with you. Sit with the people who use what you build, and turn what you learn there into a system. Design the service boundaries, contracts and schema evolution that let our platforms grow without breaking the teams depending on them. Make our AI systems dependable in production: evaluation harnesses, human approval steps before an agent acts, retries that handle a model returning something unexpected, and cost tracking that tells you what a task costs before you run it. Build what other engineers build on — agent skills, tool and MCP integrations, shared libraries — and raise the bar through code review, design discussion and mentoring. Spot the platform work nobody has asked for yet, make the case for it, and build it. Your Background: 5+ years of professional experience building and operating production systems, from design through production ownership. A system you designed and can walk us through end to end — where its boundaries sit, what constrained it, and what you chose against. Strong programming proficiency in a statically typed language such as Rust, Go, C++, Java, Kotlin, C#, or TypeScript. Production Rust is a plus rather than a requirement. You have owned a service in production: you wrote the runbooks, you knew what it cost, and you were the one paged when it broke. Expe

About the Role: The Machine Learning team at Tubi drives the innovation behind personalized user experiences. With the largest inventory in the industry and hundreds of millions of viewers, we tackle problems in the space of recommendations, search, content understanding and ads optimization that shape the future of streaming. We are seeking a highly skilled Staff Machine Learning Engineer to contribute to transformative projects in video personalization. In this role, you will design and implement advanced algorithms and systems to improve our personalization strategy. As a senior technical expert, you will tackle complex problems in machine learning at scale, collaborating closely with cross-functional teams to develop and optimize machine learning-driven solutions. This is a hybrid role in our Toronto office. What You'll Do: Lead the design, development, and implementation of advanced recommendation systems and algorithms for a global audience Conduct deep dives into algorithmic components and systems, ensuring that models are optimized for both performance and scalability across multiple regions and product areas Build and deploy high-impact robust ML pipelines, including data extraction, feature development, model training, testing, and deployment Continuously monitor, evaluate, and optimize the performance of deployed models, ensuring they meet business goals and provide high-quality user experiences. Work closely with Product, Engineering, and Data Science teams to align on product requirements, set expectations, and deliver machine learning-driven solutions that improve user engagement Your Background: 8+ years of industry experience building production Machine Learning systems MSc or Ph.D. in Computer Science, Machine Learning, Statistics, Mathematics, or a related field Experience with deep learning technologies for recommendation systems, including TensorFlow, PyTorch, or similar frameworks Proficiency in building and deploying full-stack machine le

About the Role: As a Staff Software Engineer on the ML Infrastructure team, you will collaborate closely with the Machine Learning and Product teams to build world-class machine learning inference platforms. These platforms power essential services like personalized recommendations, search, and content understanding across Tubi. A core responsibility of this team is developing and maintaining low-latency ML model serving systems that support Deep Learning, LLM, and Search models. This involves building self-service infrastructure and critical components such as the inference engine, feature store, vector store, and experimentation engine. You will improve the way we deploy and operate our services and even contribute to open-source projects. This role grants the architectural freedom to explore new frameworks, lead critical cross-functional projects, and transform the capabilities of our ML and Product teams. Responsibilities: Design and build scalable, high throughput, and low latency distributed systems using Scala Build reusable components and services that serve various ML applications like Personalization, Search, Ads and Exploration Partner closely with ML engineers to understand their challenges and limitations and develop scalable solutions to address them. Proactively recommend solutions to keep our ML Inference stack state of the art. Take a data driven approach to identifying & optimizing latency, cost, and efficiency of our infra. Lead large scale cross functional refactorings if necessary Mentor other engineers on the team on system design, effective incident management, interviewing, leveraging LLMs for work, etc. Collaborate with ML, Product, and cross functional engineering teams to define the long term vision and architecture for ML Infrastructure at Tubi. Your Background: Experience designing and building scalable, distributed systems in any modern backend language (e.g., Scala, Java, Python, Go, C++); experience with Scala or JVM b

About DevRev At DevRev, we're building the future of work with Computer – your AI teammate. Unlike traditional tools, Computer unifies all your data sources, tools, and workflows into a single AI-ready platform, giving employees real-time insights, proactive suggestions, and powerful agentic actions. It extends your existing software with AI-native apps and agents that work alongside your teams and customers – updating workflows, coordinating across teams, and eliminating repetitive work. We call this Team Intelligence: human-AI collaboration that breaks down silos, brings people back together, and frees you to solve bigger problems. Backed by Khosla Ventures and Mayfield with $150M+ raised, DevRev is trusted by global companies across industries. About the role As a Forward Deployed AI Strategist , you will serve as the lead technical strategist embedded with our customers. You'll own the end-to-end design of AI-driven business transformation projects from understanding domain-specific needs to architecting scalable agent-based solutions using DevRev’s platform. This role requires a unique blend of enterprise architecture, AI solutioning, customer empathy, and cross-functional collaboration. You’ll act as the connective tissue between pre-sales, customer success, engineering, and product teams bringing our AI capabilities to life for real-world impact. What you'll do Own Customer Context : Deeply understand customer business domains, systems, and OKRs/KPIs to guide solution design. Architect AI Transformation : Design and document AI-driven workflows, agents, skills, and system integrations that align with customer goals and industry best practices. Be a Trusted Advisor : Build strong partnerships with customer stakeholders as their technical counterpart, delivering confidence in our platform’s capabilities. Translate & Coordinate : Bridge the gap between pre-sales/CS and engineering, ensuring requirements are actionable and outcomes measurable. Design R

About DevRev At DevRev, we're building the future of work with Computer – your AI teammate. Unlike traditional tools, Computer unifies all your data sources, tools, and workflows into a single AI-ready platform, giving employees real-time insights, proactive suggestions, and powerful agentic actions. It extends your existing software with AI-native apps and agents that work alongside your teams and customers – updating workflows, coordinating across teams, and eliminating repetitive work. We call this Team Intelligence: human-AI collaboration that breaks down silos, brings people back together, and frees you to solve bigger problems. Backed by Khosla Ventures and Mayfield with $150M+ raised, DevRev is trusted by global companies across industries. About the role We are looking for a Quality Architect/Lead with hands-on experience building quality systems and has deep expertise in building and scaling test automation frameworks.The role requires an individual who applies systems thinking to solving complex problems. They should be able to understand the product from various perspectives and be able to effectively create testing programs that validate not just functionality but performance, reliability and user experience.DevRev is building a next generation AI native product that requires us to build novel test systems for the Agent AI platform. The role is mult-faceted and is going to continuously evolve with time. What you'll do Test Case Design and Documentation Actively use AI and intelligent agents to accelerate test generation, test maintenance, and coverage expansion. Leverage LLMs to convert requirements, user stories, and production incidents into high-quality automated test cases. Reduce reliance on manual test case creation by introducing AI-assisted automation workflows, with human review and ownership. Apply AI to optimize test selection, prioritization, and execution based on risk, code changes, and historical failures. Use AI to assist in identi

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. We’re in an unbelievably exciting area of tech and are fundamentally reshaping the data storage industry. Here, you lead with innovative thinking, grow along with us, and join the smartest team in the industry. 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 Everpure is building a unified, AI-first platform that turns a fleet of storage systems into something that manages itself - giving customers one place to see their whole estate, understand issues before they have an impact, and let the system fix them. Our team in Prague owns core backend services for that platform. The centerpiece of the architecture is the policy engine - the declarative, intent-based component that holds the desired state of a customer's environment, evaluates live telemetry against it, and produces the violations that everything downstream acts on. As a Senior Software Engineer, you will help define and build the core backend services behind this platform, including the declarative, intent-based policy engine at the center of the architecture. You will work closely with engineers in Prague and the US, product management, and architects to shape foundational capabilities and technical direction for a platform that will evolve over the next decade. WHAT YOU'LL DO Design and build the declarative, intent-based pol

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. This is a fully on-site role with mandatory relocation. Competitive relocation package provided. THE ROLE As a Technical Program Manager in the Core Platform Business Unit (CPBU), you will define and lead the program execution strategy for Everpure’s™ flagship FlashArray and FlashBlade hardware and software initiatives. You will align multi-stream, highly complex engineering programs with overarching business objectives, bridging hardware, software, and cloud-native developments for AWS and Azure. Serving as a strategic catalyst across global site leads, executive stakeholders, and infrastructure teams, you will tackle intangible architectural dependencies and drive high-impact initiatives to market on schedule without downtime. If you thrive on navigating multi-system complexity and driving organizational clarity, this role offers an exceptional platform for leadership. WHAT YOU'LL DO Drive Strategic Program Execution: Architect and manage multi-stream engineering roadmaps for FlashArray, FlashBlade, and hybrid cloud releases, ensuring on-time delivery across the full software development lifecycle. Lead Cross-Organizational Alignment: Direct end-to-end communication, status transparency, and dependency tracking across engineering, product management, infrastructure, and executive leadership teams. Optimize Operations & Capital Expenditure: Manage CapEx allocation, budget tracking, and resource planning for eng

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 Team Lead for Initiator & Protocol Engineering, you will spearhead the critical bridge between our industry-leading FlashArray and the Linux/VMWare ecosystems. You will drive the performance and reliability of our storage protocol stacks—spanning NVMe over Fabrics and Fibre Channel—ensuring Pure Storage remains the gold standard for enterprise connectivity. Collaborating closely with cross-functional hardware and software teams, you’ll mentor a high-caliber engineering squad to solve complex kernel-level challenges and influence the global Linux upstream community. WHAT YOU'LL DO Own the Protocol Lifecycle: Lead the development, maintenance, and optimization of Linux and VMWare initiator stacks (NVMeoF, FC-SCSI, iSCSI) and target drivers to ensure seamless, high-performance integration with Pure FlashArray. Drive System Resilience: Architect enhancements for Fibre Channel and NIC driver stacks that improve RAS (Reliability, Availability, and Serviceability), specifically focusing on multipathing logic and link health monitoring. Technical Leadership & Mentorship: Guide a team of senior and junior engineers through complex project deliveries, conducting deep-dive code reviews and setting the technical bar for C/C++ and Python development within the kernel space. Solve the Impossible: Act as the final escalation point for the most challenging system-level bugs found in the field or internal testing, u

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 Team lead for a group of engineers with responsibility for Linux and VMWare initiator stack behavior as well as Fibre Channel and NIC drivers on Pure storage array. WHAT YOU'LL DO The Kernel and Driver development team is responsible for several areas Working for a team that deals primarily in various storage area network protocols such as Fiber Channel and Ethernet. On the initiator side, the team will be responsible for Linux initiator behavior attached to Flasharray. Focus is on NVME (ROCE, FC, TCP/IP) but also includes FC-SCSI (FCP) and iSCSI interfaces. This includes software development/fixes for Linux initiator stack, debugging initiator problems, and creating compatibility documents for Purity. For VMWare, focus is on debugging issues with VMWare as an initiator, and creating compatibility documentation. For FibreChannel and NIC Drivers, focus is responsibility for FC-SCSI driver stack for storage side and responsibility for NIC drivers on networking side. This includes responsibility for related code, utilities, enhancements supporting RAS, as well as debugging failures found internally and in the field. Maintain Linux kernels for internal testing Documenting supported configurations for customers Responsibility for evaluating Linux initiator behavior and optimizing for Pure Storage Flasharray. This includes correctness as well as optimizing for performances. Will contribute bug fixes and enhancemen

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. SHOULD YOU ACCEPT THIS CHALLENGE... We’re in an unbelievably exciting area of tech, fundamentally reshaping the cloud-native, modern virtualization, and AI infrastructure landscape. Here, you’ll lead with innovative thinking, grow alongside us, and work with some of the smartest minds in the industry. We’re looking for engineers passionate about system testing, distributed systems, Kubernetes, storage, modern virtualization, AI workloads, and automation. You’ll work on complex, real-world scenarios involving HA, resiliency, disaster recovery, scalability, and failure testing across large-scale Kubernetes environments. As enterprises modernize their infrastructure, containers, virtual machines, and AI/ML workloads are increasingly converging on Kubernetes. From traditional enterprise applications and VMs to GPU-accelerated AI training, inference, and data-intensive workloads, Kubernetes is rapidly becoming the common platform for running the next generation of applications. This role gives you the opportunity to test and influence how Portworx delivers enterprise-grade storage, data protection, availability, and resiliency across these workloads—including containerized applications, KubeVirt/OpenShift Virtualization VMs, and demanding AI/ML workloads running on Kubernetes. WHAT YOU WILL DO: Own system-level quality for Portworx Enterprise across Kubernetes, storage, and modern virtualization environments. Develop comprehens

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. SHOULD YOU ACCEPT THIS CHALLENGE... We’re in an unbelievably exciting area of tech, fundamentally reshaping the cloud-native, modern virtualization, and AI infrastructure landscape. Here, you’ll lead with innovative thinking, grow alongside us, and work with some of the smartest minds in the industry. We’re looking for engineers passionate about system testing, distributed systems, Kubernetes, storage, modern virtualization, AI workloads, and automation. You’ll work on complex, real-world scenarios involving HA, resiliency, disaster recovery, scalability, and failure testing across large-scale Kubernetes environments. As enterprises modernize their infrastructure, containers, virtual machines, and AI/ML workloads are increasingly converging on Kubernetes. From traditional enterprise applications and VMs to GPU-accelerated AI training, inference, and data-intensive workloads, Kubernetes is rapidly becoming the common platform for running the next generation of applications. This role gives you the opportunity to test and influence how Portworx delivers enterprise-grade storage, data protection, availability, and resiliency across these workloads—including containerized applications, KubeVirt/OpenShift Virtualization VMs, and demanding AI/ML workloads running on Kubernetes. WHAT YOU WILL DO: Own system-level quality for Portworx Enterprise across Kubernetes, storage, and modern virtualization environments. Develop comprehens

Udaan Intern - Catalog Role : Udaan Intern- Catalog Location: Bengaluru Type: Internship Duration: 6 months About Udaan We take immense pride in investing in policies and programs that enable a level playing field for all. Living up to our commitment, we are launching Udaan - our ‘PwD Internship’ program, to give career opportunities to differently-abled individuals. Udaan is Myntra’s 6-month flagship internship program, designed for individuals with disabilities, providing flexible work options, tailored training modules, and hands-on projects for seamless integration into the corporate world. During your internship with us, you will get the opportunity to work with the best talent in the e-commerce industry and work on projects that match your interests, abilities and could lead to full-time employment with Myntra. Roles & Responsibilities Knowledge of fashion trends and must know about the attributes of the products Ensure that the content, attributes and images should be as per the guidelines provided. . Review the final content and suggest improvements as required. Ensure that the PDP meets the required criteria like colour, categories, materials etc. Coordinate with the buying and item master team for the running styles and to achieve High-quality standards. Ensure that all the quality standards are followed with the help of the item master team. Qualification : Proficient in MS Office (Excel, Word, Email drafting). Strong communication skills. Well versed with Latest fashion trends, knowledge product description, keyword indexing, well

Strength in Trust OneTrust’s mission is to enable innovation through the responsible use of data and AI. We believe that ensuring data is trusted shouldn’t slow teams down—it should accelerate what’s possible. This led us to develop the first technology platform for responsible data use in 2016. Today, with AI representing the latest and most impactful expansion of data yet, OneTrust is once again redefining what responsible innovation looks like. OneTrust, the AI‑Ready Governance Platform™, unifies regulatory intelligence, automation, and connected governance workflows so businesses can continue to move at the speed of AI while ensuring good governance to prevent data misuse at scale. Trusted by thousands of organizations worldwide, OneTrust is shaping the future where trusted data becomes a transformative force for business and society. The Challenge We're looking for a Staff Software Engineer to lead technical direction across a major feature area or system domain at OneTrust. Staff Engineers here own outcomes, not just designs; they decide how ambiguous, cross-cutting problems get solved when no existing playbook applies, and their judgment carries weight across teams they don't formally manage. Your Mission Technical Leadership & Architecture Lead architecture and design for systems with significant scope and blast radius, ensuring decisions hold up under real growth, compliance, and reliability constraints; not just initial requirements. Paying attention to application performance Exercise judgment on where AI-assisted tooling accelerates delivery and where deeper human design thinking is required Cross-Team Collaboration Partner with Product, UX, and other engineering teams early, shaping problems before solutions are locked in. Build working relationships and technical credibility beyond your immediate team. Quality & Standards Set engineering practices for code revie

Strength in Trust OneTrust’s mission is to enable innovation through the responsible use of data and AI. We believe that ensuring data is trusted shouldn’t slow teams down—it should accelerate what’s possible. This led us to develop the first technology platform for responsible data use in 2016. Today, with AI representing the latest and most impactful expansion of data yet, OneTrust is once again redefining what responsible innovation looks like. OneTrust, the AI‑Ready Governance Platform™, unifies regulatory intelligence, automation, and connected governance workflows so businesses can continue to move at the speed of AI while ensuring good governance to prevent data misuse at scale. Trusted by thousands of organizations worldwide, OneTrust is shaping the future where trusted data becomes a transformative force for business and society. The Challenge We're looking for a Staff Software Engineer to lead technical direction across a major feature area or system domain at OneTrust. Staff Engineers here own outcomes, not just designs; they decide how ambiguous, cross-cutting problems get solved when no existing playbook applies, and their judgment carries weight across teams they don't formally manage. Your Mission Technical Leadership & Architecture Lead architecture and design for systems with significant scope and blast radius, ensuring decisions hold up under real growth, compliance, and reliability constraints; not just initial requirements. Paying attention to application performance Exercise judgment on where AI-assisted tooling accelerates delivery and where deeper human design thinking is required Cross-Team Collaboration Partner with Product, UX, and other engineering teams early, shaping problems before solutions are locked in. Build working relationships and technical credibility beyond your immediate team. Quality & Standards Set engineering practices for code revie

Role Overview You’re a seasoned Site Reliability Engineer who loves owning complex infrastructure, making things run faster, safer, and with less manual effort. In this Staff‑level role, you’ll design and operate VMware‑based private cloud platforms that power mission‑critical SaaS products used by customers around the world. You’ll work across Linux, Windows Server, networking, storage, and automation frameworks to increase reliability, reduce toil, and modernize a global datacenter environment. You’ll have the scope to set technical direction, build automation at scale, and mentor engineers while staying hands‑on with VMware vSphere, F5/AVI load balancers, and hybrid Active Directory. Here’s a breakdown of what you’ll do (not all of it, just the important stuff) Lead the architecture, deployment, and ongoing optimization of VMware vSphere–based private cloud infrastructure across multiple global datacenters. Design and build automation using PowerShell/PowerCLI, Ansible, Python, and CI/CD tools to streamline provisioning, configuration, and compliance. Administer, harden, and troubleshoot Linux (RHEL/CentOS/Ubuntu) and Windows Server environments that host enterprise and SaaS workloads. Integrate and manage Active Directory for authentication, access control, and service accounts across hybrid on‑prem and cloud environments. Partner with network and security teams to manage firewalls, VPNs, storage, and load balancers (F5 BIG‑IP, AVI/NSX Advanced Load Balancer) for highly available services. Document architectures and runbooks, participate in on‑call and change management, and mentor engineers while influencing long‑term reliability and automation strategy. These are the essentials you’ll need to get an interview 10+ years of experience in systems or infrastructure engineering, including operating large‑scale enterprise or SaaS datacenter environments. Deep hands‑on expertise with VMware vSphere (ESXi, vCenter, DRS, HA, vMotion, distributed switches) in production