Infrastructure Operations Analyst Jobs

About Pinterest: Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we’re on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product. Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other’s unique experiences and embrace the flexibility to do your best work. Creating a career you love? It’s Possible. At Pinterest, AI isn't just a feature, it's a powerful partner that augments our creativity and amplifies our impact, and we’re looking for candidates who are excited to be a part of that. To get a complete picture of your experience and abilities, we’ll explore your foundational skills and how you collaborate with AI. Through our interview process, what matters most is that you can always explain your approach, showing us not just what you know, but how you think. You can read more about our AI interview philosophy and how we use AI in our recruiting process here . About tvScientific tvScientific is the first and only CTV advertising platform purpose-built for performance marketers. We leverage massive data and cutting-edge science to automate and optimize TV advertising to drive business outcomes. Our solution combines media buying, optimization, measurement, and attribution in one, efficient platform. Our platform is built by industry leaders with a long history in programmatic advertising, digital media, and ad verification who have now purpose-built a CTV performance platform advertisers can trust to grow their business. As a Data Engineer at tvScientific, you will be a key player in implementing the robust data infrastructure to power our data-heavy company. You will collaborate with our cross-functional teams to evolve our core data pipelines, design for efficiency as we scale, and store data

About Anyscale At Anyscale , we're on a mission to democratize distributed computing and make it accessible to software developers of all skill levels. We’re commercializing Ray , a popular open-source project that's creating an ecosystem of libraries for scalable machine learning. Companies like OpenAI , Uber , Spotify , Instacart , Cruise , and many more, have Ray in their tech stacks to accelerate the progress of AI applications out into the real world. With Anyscale, we’re building the best place to run Ray, so that any developer or data scientist can scale an ML application from their laptop to the cluster without needing to be a distributed systems expert. Proud to be backed by Andreessen Horowitz, NEA, and Addition with $250+ million raised to date. About the role As a Distributed LLM Inference Engineer, you will help systems and optimizations that push the boundaries of performance for inference at large scale. This is an incredibly critical role to Anyscale as it allows us to achieve a market leading position for AI infrastructure. As part of this role, you will Iterate very quickly with product teams to ship the end to end solutions for Batch and Online inference at high scale which will be used by open-source Ray users and customers of Anyscale Work across the stack integrating Ray Data and LLM engine providing optimizations achieving low cost solutions for large scale ML inference Integrate with Open source software like vLLM, work closely with the community to adopt these techniques in Anyscale solutions, and also contribute improvements to open source Follow the latest state-of-the-art in the open source and the research community, implementing and extending best practices We'd love to hear from you if you have Familiarity with running ML inference at large scale with high throughput and low latency Familiarity with deep learning and deep learning frameworks (e.g. PyTorch) Solid understanding of distributed systems, ML inference challenges Bonus points

We're transforming the grocery industry At Instacart, we invite the world to share love through food because we believe everyone should have access to the food they love and more time to enjoy it together. Where others see a simple need for grocery delivery, we see exciting complexity and endless opportunity to serve the varied needs of our community. We work to deliver an essential service that customers rely on to get their groceries and household goods, while also offering safe and flexible earnings opportunities to Instacart Personal Shoppers. Instacart has become a lifeline for millions of people, and we’re building the team to help push our shopping cart forward. If you’re ready to do the best work of your life, come join our table. Instacart is a Flex First team There’s no one-size fits all approach to how we do our best work. Our employees have the flexibility to choose where they do their best work—whether it’s from home, an office, or your favorite coffee shop—while staying connected and building community through regular in-person events. Learn more about our flexible approach to where we work. Overview As the Engineering Manager for the Service Platform team, you will lead the group responsible for Instacart’s core deployment and release engineering systems, including our canary infrastructure and end‑to‑end deployment tooling. This platform is foundational to the reliability of every service at Instacart, and your work will directly shape how developers safely, confidently, and efficiently ship code. You will partner closely with product, infrastructure, and service teams to define and evolve a platform that enables fast iteration without compromising reliability. We are looking for a product-focused engineering manager with a strong interest in developer experience and internal tools, who can guide the team in building intuitive, scalable, and highly resilient systems. You will set the vision, drive execution, and ensure that Instacart engineers

We're transforming the grocery industry At Instacart, we invite the world to share love through food because we believe everyone should have access to the food they love and more time to enjoy it together. Where others see a simple need for grocery delivery, we see exciting complexity and endless opportunity to serve the varied needs of our community. We work to deliver an essential service that customers rely on to get their groceries and household goods, while also offering safe and flexible earnings opportunities to Instacart Personal Shoppers. Instacart has become a lifeline for millions of people, and we’re building the team to help push our shopping cart forward. If you’re ready to do the best work of your life, come join our table. Instacart is a Flex First team There’s no one-size fits all approach to how we do our best work. Our employees have the flexibility to choose where they do their best work—whether it’s from home, an office, or your favorite coffee shop—while staying connected and building community through regular in-person events. Learn more about our flexible approach to where we work. Overview As the Engineering Manager for the Service Platform team, you will lead the group responsible for Instacart’s core deployment and release engineering systems, including our canary infrastructure and end‑to‑end deployment tooling. This platform is foundational to the reliability of every service at Instacart, and your work will directly shape how developers safely, confidently, and efficiently ship code. You will partner closely with product, infrastructure, and service teams to define and evolve a platform that enables fast iteration without compromising reliability. We are looking for a product-focused engineering manager with a strong interest in developer experience and internal tools, who can guide the team in building intuitive, scalable, and highly resilient systems. You will set the vision, drive execution, and ensure that Instacart engineers

About the role We’re looking for a hardworking, driven individual with superb energy, passion and initiative for new business acquisition. The Enterprise Account Executive role focuses exclusively on formulating and executing a sales strategy within an assigned territory , resulting in revenue growth and new customer acquisition. We are looking to speak to candidates who are based in Berlin, Frankfurt and Munich for our hybrid working model. Impact you will have Proactively, identify, qualify and close a sales pipeline Strategically prospect into CTOs, Engineering/IT Leaders, & technical end users Build strong and effective relationships, resulting in growth opportunities Partner with our Solution Architects and work closely with the Professional Services team to achieve customer satisfaction Work closely with the enterprise ecosystem partner sales and channel partner to maximize deal sizes Participate in our sales enablement trainings, including our comprehensive Sales Bootcamp, sophisticated sales training, and leadership and development programs What you bring to the table 3+ years field experience of quota-carrying experience in a fast-paced and competitive market with a focus on closing net new logos and expanding accounts. Demonstrated ability to open new accounts and sell horizontally across the organization into different business units A proven track record of overachievement and hitting sales targets Ability to articulate the business value of complex enterprise technology Co-selling with cloud service providers (AWS, GCP and Azure) and large GSIs (Accenture, KPMG, etc) Skilled in building business champions Driven and competitive. Possess a strong desire to be successful Must live in territory Things we love You are passionate about growing your career in the largest market in software (database) Previous Sales Methodology training (e.g. MEDDIC, SPIN, Challenger Sales) Familiarity with databases, develops and cloud native infrastructure a plus Why joi

We believe that the way people interact with their finances will drastically improve in the next few years. We’re dedicated to empowering this transformation by building the tools and experiences that thousands of developers use to create their own products. Plaid powers the tools millions of people rely on to live a healthier financial life. We work with thousands of companies like Venmo, SoFi, several of the Fortune 500, and many of the largest banks to make it easy for people to connect their financial accounts to the apps and services they want to use. Plaid’s network covers 12,000 financial institutions across the US, Canada, UK and Europe. Founded in 2013, the company is headquartered in San Francisco with offices in New York, Seattle, Washington D.C., Raleigh, London, and Amsterdam. We are the Data Foundation & AI team within Plaid’s Data organization. Our mission is to build the shared ML and AI infrastructure that powers intelligent capabilities across Plaid’s product suite. We develop the foundational systems, models, and data assets that transform Plaid’s unique financial network data into scalable, general-purpose representations that teams across the company can leverage. Our work spans the full ML lifecycle — from large-scale data curation and model pretraining to production serving, evaluation, and monitoring. As part of the team, you’ll work at the intersection of machine learning infrastructure, applied AI, and distributed systems, helping establish the core AI platform that enables innovation across Plaid. As a Staff Machine Learning Engineer, you will lead the technical strategy and development of Plaid’s foundation models, driving key decisions across pretraining objectives, model architecture, and fine-tuning approaches that power a wide range of downstream product applications. You will serve as the technical lead for the full machine learning lifecycle, overseeing everything from data curation and experimentation to production deployment,

Your wellbeing, our mission. Join a company shaping a healthier world. GET TO KNOW US At Wellhub we're revolutionizing workplace wellness. Our platform connects employees worldwide to the best partners for fitness, mindfulness, therapy, nutrition, and sleep—all in one simple subscription. Headquartered in NYC with team members in Europe, North America and South America, we’re on a mission to make every company a wellness company. We believe work should be fulfilling, inspiring, and balanced. Here, you’ll find a team that values wellbeing, collaboration, and different perspectives, where passion and creativity push boundaries to create real impact. Your contributions will help shape a healthier, more balanced world for you and millions of people globally. Join us in redefining the future of wellbeing! THE OPPORTUNITY We are hiring a Channel Marketing Manager for our Revenue Marketing team in Remote, US ! This Channel Marketing Manager role is a critical part of our Revenue Marketing Team. We are looking for a highly capable marketing manager to define and execute the strategy that fuels our growth through a dynamic network of partners. This is a significant opportunity for a driven, entrepreneurial marketer to establish and build our Channel Marketing program from the ground up. You will be instrumental in creating the strategy, infrastructure, and execution plan necessary to activate and drive revenue through our largest channel partners, including major benefits brokers (like Sequoia) and payroll/HR platforms (like ADP and Paychex). This role is perfect for someone who excels in complexity and is motivated by the challenge of creating a scalable and impactful program. YOUR IMPACT Architect and launch the foundational Channel Marketing program at Wellhub, defining the core processes, metrics, and scalable playbooks for partner engagement. Develop a tiered marketing strategy that maps to the unique needs and integration points of our key partner types, in

About Pinterest: Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we’re on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product. Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other’s unique experiences and embrace the flexibility to do your best work. Creating a career you love? It’s Possible. At Pinterest, AI isn't just a feature, it's a powerful partner that augments our creativity and amplifies our impact, and we’re looking for candidates who are excited to be a part of that. To get a complete picture of your experience and abilities, we’ll explore your foundational skills and how you collaborate with AI. Through our interview process, what matters most is that you can always explain your approach, showing us not just what you know, but how you think. You can read more about our AI interview philosophy and how we use AI in our recruiting process here . We're seeking an exceptional Staff Software Engineer to join our Observability team at Pinterest. This role combines deep technical expertise in distributed systems and data engineering with a product-oriented mindset to build world-class observability solutions that empower our engineering organization. As a Staff Engineer on the Observability team, you'll be responsible for designing and building the infrastructure and tools that provide visibility into Pinterest's large-scale distributed systems, helping thousands of engineers understand, debug, and optimize their services. What you'll do: Define and execute the observability roadmap, treating it as a product. Understand engineering team needs and translate them into technical solutions with measurable impact Architect, build, and scale distributed observability infrastructure (me

Drata is building the trust layer between great companies - automating compliance, managing risk, and helping organizations prove trust continuously as they scale. We're Dratanauts: a global crew of 600+ professionals united by a culture that rewards integrity, ownership, and raising the bar, no matter where in the world we're working from. Why Join the Drata Team? At Drata, you're not maintaining legacy compliance software - you're building the agentic AI platform defining what trust looks like for the next generation of companies. Here's what makes the work itself worth showing up for: Problems without a playbook: You'll work at the edge of AI and security, building agentic governance, continuous compliance, and real-time trust verification to solve problems that don't have an established answer yet. You're writing it as you go. Real ownership, not just process: Our values center on owning outcomes and raising the bar, not checking boxes. You're expected to have opinions and back them. A seat at the table: Your perspective is unique and valued. Open debate and diverse viewpoints are built into how decisions actually get made here, at every level. Growth at rocketship speed: Drata is scaling fast, which means scope grows fast too. High performers get more ownership, visibility, and experience. A crew, not just coworkers: Dratanauts consistently describe a "come as you are" culture with sharp, curious people—the kind of team that makes hard problems genuinely fun to solve. See what they say here and follow us on LinkedIn for company news, employee stories, and career updates. Job Summary: Drata is reimagining compliance as an intelligent, always-on experience — and AI is at the center of that vision. We are seeking a Senior AI Product Engineer to own the full-stack development of customer-facing AI features, embedded directly within our product teams. This is not a platform or infrastructure role. You'll translate the capabilities of LLMs, agents, and RAG pipelines

Drata is building the trust layer between great companies - automating compliance, managing risk, and helping organizations prove trust continuously as they scale. We're Dratanauts: a global crew of 600+ professionals united by a culture that rewards integrity, ownership, and raising the bar, no matter where in the world we're working from. Why Join the Drata Team? At Drata, you're not maintaining legacy compliance software - you're building the agentic AI platform defining what trust looks like for the next generation of companies. Here's what makes the work itself worth showing up for: Problems without a playbook: You'll work at the edge of AI and security, building agentic governance, continuous compliance, and real-time trust verification to solve problems that don't have an established answer yet. You're writing it as you go. Real ownership, not just process: Our values center on owning outcomes and raising the bar, not checking boxes. You're expected to have opinions and back them. A seat at the table: Your perspective is unique and valued. Open debate and diverse viewpoints are built into how decisions actually get made here, at every level. Growth at rocketship speed: Drata is scaling fast, which means scope grows fast too. High performers get more ownership, visibility, and experience. A crew, not just coworkers: Dratanauts consistently describe a "come as you are" culture with sharp, curious people—the kind of team that makes hard problems genuinely fun to solve. See what they say here and follow us on LinkedIn for company news, employee stories, and career updates. Job Summary: Drata's Identity & Access Management team owns the identity, authentication, and access control infrastructure that every customer uses to access the platform — and that every internal platform service relies on for trust boundaries. Authentication — SSO (SAML 2.0, OIDC), session/token management, MFA. We're focused on authentication for enterprise customers — large user popula

*Due to the nature of the projects and specific client security clearance requirements, this role requires the successful candidate to be Thai Citizen Only As a Principal Solution Architect, you turn complex client problems into well-reasoned, scalable and buildable technology designs for enterprises across the dynamic Thai market. This is a senior, hands-on engineering role at the intersection of system design, pre-sales and delivery. You work with business development, solution architects and delivery leaders to take opportunities from a whiteboard sketch to a credible solution: a clear architecture, explicit trade-offs, realistic estimates and a practical path to production. You engage directly with client technology leaders across Thai enterprises, from large conglomerates and financial institutions to retail powerhouses, and you earn credibility by going deep on how systems really work: at scale, under failure and within real-world constraints. You should be comfortable moving between discovery workshops, design reviews, proof-of-concept builds and early delivery support. You design across the full stack of modern systems, including APIs, data stores, caching, messaging, cloud infrastructure, security and observability. You also bring AI into the picture in a practical way, designing ML and LLM-powered solutions that are reliable, cost-aware and responsible. Job responsibilities Translate business goals and non-functional requirements (scale, latency, availability, security and cost) into clear solution designs, using back-of-the-envelope estimation to size systems early. Design end-to-end architectures covering API design, service decomposition, data modelling and storage, caching, messaging and event-driven integration. Make architecture trade-offs explicit, such as consistency vs. availability, SQL vs. NoSQL, sync vs. async and build vs. buy, and document them through design reviews and architecture decision records. Design for resilience and scale, includin

About Flexport: At Flexport, we believe global trade can move the human race forward. That’s why it’s our mission to make global commerce so easy there will be more of it. We’re shaping the future of a $10T industry with solutions powered by innovative technology and exceptional people. Today, companies of all sizes—from emerging brands to Fortune 500s—use Flexport technology to move more than $19B of merchandise across 112 countries a year. The recent global supply chain crisis has put Flexport center stage as we continue to play a pivotal role in how goods move around the world. We are proud to have the support of the best investors in the game who believe in our mission, solutions and people. Ready to tackle global challenges that impact business, society, and the environment? Come join us. Senior Software Engineer: Platform Every engineer at Flexport ships code that moves real freight across 112 countries. The faster and safer they can do that, the faster the world's supply chains move. The PSI (Platform, Security & Infrastructure) team makes this possible: we build the paved path and tooling that hundreds of engineers around the world rely on every day to ship. This is not a role where you wait for tickets. You'll talk to engineers, dogfood our platform, and find the friction that's slowing us down, and then design and ship the tools to remove that. What You'll Do You'll own and evolve the developer platform that powers Flexport engineering. That means: Making the best paved paths and self-serve tooling possible that make the right thing the easy thing. Creating and supporting developers with CI/CD pipelines (Buildkit, Github Actions), build tooling (Gradle, Bazel, npm/pnpm/bun, Go and Cargo) and artifact repositories (Artifactory, ECR, github). Owning and improving the backend and frontend developer experience. Acting as the steward of our GraphQL and gRPC ecosystem and make sure our middleware, federation and schema sharing, CLIs, codegen and

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. About the Role As we continue to expand UniFi’s presence across Japan, we’re hiring an Account Executive . This is a unique opportunity to make a meaningful impact at a fast-growing, disruptive technology company as we build out our local team. Ubiquiti’s UniFi platform delivers a fully integrated ecosystem across networking, Wi-Fi, switching, surveillance, access control, NAS/SAN, VoIP, and more — all managed through a single interface with no recurring licensing fees. In this role, you will own the full sales cycle and work closely with end customers and channel partners to expand UniFi adoption across Japan. You’ll help organizations modernize their IT and physical security infrastructure with a simple, powerful, and cost-effective platform. If you have experience selling networking, IT infrastructure, or physical security solutions, we want to hear from you. Work Location: Remote based out of Japan (Tokyo preferred), with work travel for customer and partner engagement Responsibilities Own the full sales cycle from prospecting to close, including outbound activity, demos, proposals, and negotiations Build and manage a strong pipeline across multiple industries (SMB, enterprise, education, hospitality, retail, and more) Drive adoption of the UniFi platform across networking, Wi-Fi, switching, surveillance, and access control D

About the Team The Post-Training Frontiers team is responsible for training the frontier agents OpenAI ships to the world (GPT-Next). We train the flagship agentic models behind Codex, ChatGPT, and the API through large-scale reinforcement learning. The team’s work spans four areas. First, execution and science: working with teams across OpenAI to decide what can go into the final model and how, using scientific experiments and evals that are representative of the final pipeline so issues can be recognized early. Second, RL scaling: executing the final large-scale reinforcement learning run, making sure GPUs are used efficiently and training stays healthy. Third, research: improving horizontal capabilities like instruction following, factuality, memory, and multi-agent behavior, where the team’s broad visibility helps identify cross-cutting improvements across teams and domains. Fourth, engineering: maintaining the infrastructure stack and internal tools to ensure that both the final run and all integrations go as smoothly as possible and that the systems are easy to work with. About the Role This role focuses on keeping our frontier RL training runs fast, reliable, and unblocked. You will work across engineering and infrastructure problems as they emerge, from scaling and orchestration issues to inference bottlenecks, numerical problems, and hardware failures, as well as supporting large horizontal integrations in the big run, like multi-agent capabilities or memory. This is a role for a strong generalist who quickly learns anything needed for the task, has high attention to detail, debugs deeply, and is motivated by fixing the highest-impact problem in front of the team. In this role, you will: Keep large-scale async RL training runs moving by jumping into the most urgent engineering and infrastructure problems. Debug issues across training systems, inference, orchestration, scaling, and distributed infrastructure. Improve the reliability and efficiency of RL trai

About Pinterest: Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we’re on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product. Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other’s unique experiences and embrace the flexibility to do your best work. Creating a career you love? It’s Possible. At Pinterest, AI isn't just a feature, it's a powerful partner that augments our creativity and amplifies our impact, and we’re looking for candidates who are excited to be a part of that. To get a complete picture of your experience and abilities, we’ll explore your foundational skills and how you collaborate with AI. Through our interview process, what matters most is that you can always explain your approach, showing us not just what you know, but how you think. You can read more about our AI interview philosophy and how we use AI in our recruiting process here . As a Senior Product Manager for Signal Lifecycle within Trust & Safety, you'll own the product strategy for the ML platform that powers how Pinterest trains, evaluates, deploys, and measures content safety models at scale. You'll lead the development of ML Signal Management — making ML signals first-class entities with unified metadata and identity across systems. Partnering deeply with ML engineering, data science, content safety, and enforcement systems, you'll drive a platform whose scope is expanding from T&S into content quality, ads safety, and beyond. What you'll do: Own and drive the Signal Lifecycle product roadmap, including ML Flywheel infrastructure, auto-deployment, model onboarding, golden dataset management, and signal performance measurement Define and ship ML Signal Management — a unified backbone that elevates ML