Infrastructure Support Engineer Jobs

About Team & About Role Rubrik's sales organisation is a unified group of elite cross functional professionals helping companies across every major industry, from financial services and manufacturing to the public sector, achieve true resilience against cyberattacks, malicious insiders, and operational disruptions. As an Enterprise Account Executive in France, you will drive Rubrik's expansion in one of Europe's most dynamic enterprise markets, owning the full sales cycle from first contact to close and building the pipeline that powers our growth across the French enterprise landscape. What You'll Do Define and execute a territory sales plan for France, driving net new logo acquisition through disciplined prospecting, pipeline development, and strategic account pursuit Run complete, multistakeholder sales cycles end to end, from discovery and qualification through solution design, negotiation, and close, consistently building toward and exceeding your targets Build and manage a high quality pipeline that balances breadth across your enterprise territory with depth in your highest priority opportunities Partner closely with Solutions Engineers, Channel Development, and Rubrik's partner ecosystem to position our data security platform against the full scope of customer risk Develop relationships with key decision makers and executive sponsors within target accounts, connecting Rubrik's capabilities to their most pressing business priorities Work with channel partners, distributors, and VARs to extend your reach and accelerate growth across the territory Provide market intelligence back to Rubrik leadership, including competitive signals, customer insights, and partnership opportunities that shape our go to market in France Experience You'll Need 2+ years of enterprise technology sales experience (IT infrastructure, SaaS, or ideally both) Demonstrated ability to source your own pipeline and land net new logos within the French enterprise market Fluent in French an

The Team + The Role Pendo is rebuilding for the AI era, with new products, new buyers, and new ways to deliver value to customers. The Customer Growth and Lifecycle function sits at the center of that shift, helping turn customer engagement into a deliberate, repeatable, compounding growth motion. This team connects product usage, customer behavior, experimentation, and lifecycle programs to help customers get more value from Pendo. As Director, Customer Growth & Lifecycle, you will own the lifecycle motion from first login to fully embedded power user. You will design the experiments, programs, and data-driven interventions that make engagement intentional rather than accidental, using Pendo’s own platform and analytics to understand what moves adoption, retention, and expansion. You will also lead a team of approximately five Adoption Managers and Pendo’s Center of Excellence / Product Operations function. This is a role based in-office in Raleigh or New York, or Remote in the East Coast. What this looks like day-to-day Customer lifecycle ownership: Build, iterate, and optimize the full digital customer journey from onboarding through expansion. You will start with functional lifecycle infrastructure and make it more measurable, scalable, and compounding. Behavior-to-action strategy: Use Pendo’s own analytics to identify where users find value, where they drop off, and which interventions move the needle. You will scope and prove your own work rather than waiting on an analyst to define the opportunity. Scaled Pendo-on-Pendo execution: Act as one of Pendo’s most important internal practitioners of the product. Design and ship cross-channel experiments across in-app guides, email, NPS, segmentation, and other lifecycle channels that show customers what great product engagement looks like. Roadmap influence: Bring front-line visibility into customer behavior directly into product conversations. Your insights will help shape feature decisions and improve how Pend

Location : Come and join us in Hamburg or Berlin! Following Lyft’s acquisition of Freenow, we are looking for a Senior TPM to lead the technical workstreams that get us to Day 1 readiness — the period between signing and closing — and to set up the integration that follows. This is a high-stakes, high-visibility role reporting into the EU Tech Leader, with direct exposure to Freenow and Lyft leadership. You will be the single point of accountability for technical Day 1 readiness. That means making sure every employee, every office, and every critical system is ready to operate underFreenow by Lyft from the moment the deal closes — and that the integration stream is up and running the day after. You will also be the TPM accountable for the integration of future acquisitions Freenow makes. This is not a role for someone who wants to administer a project plan. You are expected to be technically credible, opinionated, and comfortable holding senior people to account across IT, Security, Infrastructure, Engineering, Legal, People, and Finance. You make decisions when others stall, escalate cleanly when you can’t, and keep the whole machine moving. YOUR DAILY ADVENTURES WILL INCLUDE: Day 1 readiness. Own the end-to-end technical readiness plan between signing and closing. Define what “ready” means, track every workstream against it, and call the go/no-go on technical readiness for Day 1. IT and workplace cutover. Coordinate identity and system access (SSO, IdP, mail, productivity suite, engineering tooling), hardware provisioning and re-imaging, and office setup including network, VPN, Wi-Fi, meeting rooms, and physical access. Make sure nobody shows up on Day 1 unable to work. Security and compliance posture. Partner with Security and Legal to make sure the technical environment meets the new shareholder’s requirements on Day 1 — access controls, data handling, audit trails, vendor relationships. Integration stream kickoff. Stand up the technical integration workstreams

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. Snowflake is a high-growth, cloud-native data platform company committed to empowering enterprises to achieve their full potential. With a culture built on impact, innovation, and collaboration, we offer an environment where you can build large-scale systems, move fast, and take your technology career to the next level. We are seeking a highly talented and experienced Staff Software Engineer to join the Unistore team in our Database Engineering org . The Unistore team is building a unified hybrid data platform that dissolves the boundaries between operational and analytical workloads. Our core product, Hybrid Tables, enables enterprises to manage both transactional and analytical data in a single place. By eliminating the need to move data between separate operational databases and analytical warehouses, we simplify architectures, reduce ETL complexity, and unlock high-performance, real-time application serving—all while maintaining Snowflake's industry-leading scale, performance, and ACID compliance. Joining this team means architecting the performance, scalability, and service infrastructure that will empower the world's largest enterprises to seamlessly govern their transactional and analytical data in one place. If you are passionate about building industry-leading tech

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’re hiring a talented Senior Software Engineer to help us build a world-class security experience for Snowflake engineers. As an engineer in the Product Security team, you will play a central role in delivering the next generation of tools used by our engineers to develop and secure our flagship product. Together with industry-wide experts in distributed systems, cross-cloud development and security excellence, you will evolve our security infrastructure and tooling to be elastic, large-scale, and highly performant with simplicity at its core. As a software engineer in the Product Security Team, you will help Snowflake realize its mission and vision of becoming the premier Data Cloud by accelerating the delivery of our high-quality software to production. You will be a key stakeholder in driving clarity on our strategy and partner with product managers to chart the quarterly and long-term roadmaps for the team. You will ensure that the team is executing towards serving the current needs of its customers, while ensuring that we stay ahead of technological trends and future demands, including AI security and security for AI-driven systems. Our ideal Senior Software Engineer will have: Strong passion for making developers highly productive. 6+ years of industry experience de

About BlockTech As a Quantitative Trader on our Singapore trading floor, you’ll own positions and PnL end-to-end, from interpreting live market flow and liquidity through tuning and intervening in our automated systems, all the way to shaping the next generation of execution logic and trading tools. You’ll sit shoulder-to-shoulder with Quantitative Researchers, Quantitative Developers, and Software Engineers, and your decisions will directly drive how we trade across venues. The role Managing and monitoring D1 positions across multiple venues, owning the PnL and risk that comes with them Reading live market flow, liquidity conditions, and market events, and translating that read into concrete trading and execution decisions Tuning and parameterising our automated and semi-automated systems, and knowing when to step in to manage risk or capture an opportunity Improving execution quality and market-making performance through data-driven analysis of strategy behaviour Designing and specifying the trading tools, dashboards, and analytics that the desk relies on to make decisions Collaborating closely with researchers, developers, and engineers to sharpen models, infrastructure, and execution logic, and shaping the roadmap for new trading initiatives What we’re looking for 3+ years of experience as a Quantitative Trader and/or Quantitative Researcher in a professional trading environment, with demonstrated PnL responsibility on linear (D1) products across multiple venues Hands-on experience operating automated and semi-automated trading systems under live conditions: monitoring, tuning, and intervening when it matters Strong analytical instincts: you can take a messy dataset of fills and quotes and turn it into a concrete execution improvement A deep, intuitive grasp of market microstructure and the ability to explain why a strategy works, not just that it does Proficiency in Python for analysis, tooling, and interaction with trading systems An ownership mindset: being p

About BlockTech BlockTech is an algorithmic trading firm operating at the frontier of global crypto derivatives and spot markets. We trade 24/7 across some of the fastest-moving, most data-rich venues in finance. Crypto remains one of the few markets where a researcher can still meaningfully move the edge: abundant data, novel microstructure, and the shortest possible loop between a research idea and live PnL. We're looking for an experienced Quantitative Researcher to take ownership of that edge and push it further. The role This is a senior, hands-on research seat on our trading floor. You'll own a research agenda end-to-end from hypothesis, dataset construction, feature engineering, model training, backtesting, live deployment, monitoring, and iteration. You'll be trusted to set its direction. You'll work shoulder-to-shoulder with fellow researchers, traders and analysts, shape how we price and trade, and help raise the bar for research across the floor, including mentoring less experienced researchers and influencing the tools and standards the team relies on. You will: Own price-prediction, signal, execution, and anomaly-detection models across crypto derivatives and spot markets from idea to live PnL Shape our research, backtesting, and trading infrastructure together with engineers, so good ideas reach production quickly and safely Own models in production: monitor live performance, diagnose decay, and iterate on what you ship Set research direction alongside traders, deciding which trades are worth making and why Raise the research bar by mentoring colleagues, reviewing work, and setting standards for rigour What we're looking for 4+ years of hands-on quantitative research and/or applied ML experience, with a track record of models you've taken into production trading live A strong academic foundation in a quantitative discipline (mathematics, physics, statistics, computer science, ML/AI, or similar) Fluency in Python and the modern ML stack (PyTorch and/or

About BlockTech BlockTech is a fast-paced algorithmic trading firm at the frontier of global cryptocurrency derivatives and spot markets. We trade 24/7 across some of the most data-rich, fast-moving venues in finance, and we use that data to build smarter models, sharper signals, and more adaptive systems. Crypto is one of the few markets where a researcher can still meaningfully move the edge. The data is abundant, the microstructure is novel, and the feedback loop between a research idea and live PnL couldn’t be shorter. We’re growing fast, and we’re looking for a Quantitative Researcher with a strong machine learning toolkit to help us push that edge further. The role As a Quantitative Researcher on our trading floor, you’ll own ideas end-to-end from hypothesis and dataset construction through feature engineering, model training and backtesting, all the way to live deployment, monitoring, and iterative improvement. You’ll sit shoulder-to-shoulder with Quantitative Traders and Quantitative Analysts, and your work will directly drive how we price and trade. You will: Collaborate closely with traders to translate research insights into systematic trading strategies Design, develop and deploy models for price prediction, signal generation, execution, and anomaly detection across crypto derivatives and spot markets using state-of-the-art AI and ML techniques. Build robust trading, backtesting and research infrastructure alongside our engineers, so promising ideas can move into production quickly and safely Own models in production: monitoring live performance, diagnosing decay, and iterating on what you ship What we're looking for A strong academic background in a quantitative discipline (Mathematics, Physics, Statistics, Computer Science, Econometrics, ML/AI, or similar), typically a PhD or an MSc with strong research experience Fluency in Python and the modern ML stack (PyTorch and/or TensorFlow, scikit-learn, NumPy, pandas) A deep, intuitive grasp of overfitting, g

About BlockTech BlockTech is an algorithmic trading firm operating at the frontier of global crypto derivatives and spot markets. We trade 24/7 across some of the fastest-moving, most data-rich venues in finance. Crypto remains one of the few markets where a researcher can still meaningfully move the edge: abundant data, novel microstructure, and the shortest possible loop between a research idea and live PnL. We're looking for an experienced Quantitative Researcher to take ownership of that edge and push it further. The role This is a senior, hands-on research seat on our trading floor. You'll own a research agenda end-to-end from hypothesis, dataset construction, feature engineering, model training, backtesting, live deployment, monitoring, and iteration. You'll be trusted to set its direction. You'll work shoulder-to-shoulder with fellow researchers, traders and analysts, shape how we price and trade, and help raise the bar for research across the floor, including mentoring less experienced researchers and influencing the tools and standards the team relies on. What you'll do Own price-prediction, signal, execution, and anomaly-detection models across crypto derivatives and spot markets from idea to live PnL using state-of-the-art ML Shape our research, backtesting, and trading infrastructure together with engineers, so good ideas reach production quickly and safely Own models in production: monitor live performance, diagnose decay, and iterate on what you ship Set research direction alongside traders, deciding which trades are worth making and why Raise the research bar by mentoring colleagues, reviewing work, and setting standards for rigour What we're looking for 4+ years of hands-on quantitative research and/or applied ML experience, with a track record of models you've taken into production trading live A strong academic foundation in a quantitative discipline (mathematics, physics, statistics, computer science, ML/AI, or similar) Fluency in Python and the m

About BlockTech BlockTech is a fast-paced algorithmic trading firm at the frontier of global cryptocurrency derivatives and spot markets. We trade 24/7 across some of the most data-rich, fast-moving venues in finance, and we use that data to build smarter models, sharper signals, and more adaptive systems. Crypto is one of the few markets where a researcher can still meaningfully move the edge. The data is abundant, the microstructure is novel, and the feedback loop between a research idea and live PnL couldn’t be shorter. We’re growing fast, and we’re looking for a Quantitative Researcher with a strong machine learning toolkit to help us push that edge further. The role As a Quantitative Researcher on our trading floor, you’ll own ideas end-to-end from hypothesis and dataset construction through feature engineering, model training and backtesting, all the way to live deployment, monitoring, and iterative improvement. You’ll sit shoulder-to-shoulder with Quantitative Traders and Quantitative Analysts, and your work will directly drive how we price and trade. What you’ll work on Collaborating closely with traders to translate research insights into systematic trading strategies Designing, developing and deploying models for price prediction, signal generation, execution, and anomaly detection across crypto derivatives and spot markets using state-of-the-art AI and ML techniques. Building robust trading, backtesting and research infrastructure alongside our engineers, so promising ideas can move into production quickly and safely Owning models in production: monitoring live performance, diagnosing decay, and iterating on what you ship What we’re looking for A strong academic background in a quantitative discipline (Mathematics, Physics, Statistics, Computer Science, Econometrics, ML/AI, or similar), typically a PhD or an MSc with strong research experience Fluency in Python and the modern ML stack (PyTorch and/or TensorFlow, scikit-learn, NumPy, pandas) A deep, intuit

About the Team The Agent Post-Training team creates the frontier agents OpenAI ships to the world. We are training the models behind our agents in Codex, ChatGPT, the API, and other frontier products: persistent, proactive intelligence that can operate computers, collaborate with people and other agents, and expand what people and organizations can imagine, attempt, and achieve. We define what the next generation of agents should be able to do, build the training signal that teaches those abilities, and run the experiments that make them real. Our work spans coding, tool use, computer use, multi-agent coordination, long-horizon execution, factuality, instruction following, calibrated reasoning, and taste. Our team is where new model capabilities get made. We build the data, environments, graders, training methods, and feedback loops that shape what OpenAI's next agents can do, then carry those capabilities through major training runs and into the products people use. About the Role As a member of Agent Post-Training, you will improve the capabilities, reliability, and product fit of OpenAI's agentic models. You might own a research direction, build the infrastructure that makes large training runs faster and more trustworthy, create evals that reveal where models fail, or drive a capability from an idea through experimentation, integration, and launch. This role is intentionally broad. The strongest candidates are not defined by one method or subfield; they are people who can take an ambiguous capability problem and make progress across research, engineering, data, evals, and product. You should be excited to work on models that act in the world: writing and debugging code, using tools, calling functions, operating computers, collaborating with other agents, and completing valuable work on behalf of users. You will work with researchers, engineers, product teams, infrastructure teams, and safety/alignment partners to decide what should go into major model runs, meas

Who We Are Verkada is transforming how organizations protect their people and places with an integrated, privacy-sensitive AI-powered platform that includes solutions for video security, access control, air quality sensors, alarms, intercoms, and visitor management. We’ve got serious momentum in the market: more than 30,000 customers (including 100+ of the Fortune 500), a $5.8B valuation , more than $1 billion in annualized bookings, and backing from CapitalG, Sequoia Capital, General Catalyst, Felicis Ventures, Next47 and more. Physical AI is one of the most consequential technology shifts of our time, and Verkada is at the center of it. You can look at all kinds of communities to see our platform’s impact in the world. It's the retailer that uses our agentic AI to deter theft before it happens. The warehouse that uses AI-powered alerts to make sure its team is protected on the floor with proper PPE. The school that’s alerted to a threat in real-time and triggers a lockdown in seconds, not minutes. We’re rapidly scaling this impact: today, more than 2 million Verkada devices are deployed across 170+ countries. About the Role This position is part of the Business Systems Product team supporting the CIO organization. The goal of the Business Systems team is to create and deliver meaningful, large-scale technology programs that increase the ROI of Verkada’s business systems and technology and improve the overall value and performance of the organization. We make systems/processes more efficient, reduce manual, low-value work, and enable the company to run better, make better decisions, and ultimately be more profitable. What You'll Do Partner with leaders across: FLOPS (Finance, Legal, Operations, People and Supply Chain) and other key functions to address key business challenges – with a primary focus on systems, data pipelines and infrastructure, and large-scale Security and IT initiatives Implement best-practice solutions, including process

Ready to do the most impactful work of your career? At Coinbase , we are uncompromising on our mission to increase economic freedom. The bar is high, the environment is intense, and we like it that way. This isn't a place for complacency, it’s a place to be pushed past your perceived limits. If you're ready to build the future of finance alongside people who refuse to settle for "good enough," you belong here. Coinbase is a remote-first, but not remote-only company. Expect to get together quarterly for intense in-person working sessions called “surges.” learn more about working at Coinbase . As a Staff Software Engineer within the Security Platform Engineering group, you'll serve as the primary execution anchor for our most critical regulatory and cryptographic initiatives. This team owns Coinbase's Tier-0 Multi-Party Computation (MPC) engine, which secures 99% of assets under custody. You'll lead the development of high-availability services that directly protect customer assets and ensure global regulatory compliance from our Israel office. What you'll do: Lead the architecture and execution of critical cryptographic infrastructure, including services required for global regulatory compliance Define technical strategies with a multi-quarter horizon, bringing clarity to highly ambiguous requirements for novel cryptographic solutions Own risky and ambitious initiatives, implementing secure and resilient cryptographic protocols in a high-stakes, zero-trust environment Shape engineering quality practices as a technical anchor and mentor within a team of senior engineers, driving rigorous code reviews and eliminating single points of failure Build alignment and secure commitment from cross-functional partners across Security, Product, and Policy to drive flawless execution Required Skills and Experience: 8+ years of experience in software engineering with demonstrated success building highly available, distributed systems Deep domain expertise in app

Ready to do the most impactful work of your career? At Coinbase , we are uncompromising on our mission to increase economic freedom. The bar is high, the environment is intense, and we like it that way. This isn't a place for complacency, it’s a place to be pushed past your perceived limits. If you're ready to build the future of finance alongside people who refuse to settle for "good enough," you belong here. Coinbase is a remote-first, but not remote-only company. Expect to get together quarterly for intense in-person working sessions called “surges.” learn more about working at Coinbase . As a Senior Software Engineer within the Security Platform Engineering group, you'll serve as the primary execution anchor for our most critical regulatory and cryptographic initiatives. This team owns Coinbase's Tier-0 Multi-Party Computation (MPC) engine, which secures 99% of assets under custody. You'll lead the development of high-availability services that directly protect customer assets and ensure global regulatory compliance from our Israel office. What you'll do: Lead the architecture and execution of critical cryptographic infrastructure, including services required for global regulatory compliance Define technical strategies with a multi-quarter horizon, bringing clarity to highly ambiguous requirements for novel cryptographic solutions Own risky and ambitious initiatives, implementing secure and resilient cryptographic protocols in a high-stakes, zero-trust environment Shape engineering quality practices as a technical anchor and mentor within a team of senior engineers, driving rigorous code reviews and eliminating single points of failure Build alignment and secure commitment from cross-functional partners across Security, Product, and Policy to drive flawless execution Required Skills and Experience: 5+ years of experience in software engineering with demonstrated success building highly available, distributed systems Deep domain expertise in applied c

Elastic, the Search AI Company, enables everyone to find the answers they need in real time, using all their data, at scale — unleashing the potential of businesses and people. The Elastic Search AI Platform, used by more than 50% of the Fortune 500, brings together the precision of search and the intelligence of AI to enable everyone to accelerate the results that matter. By taking advantage of all structured and unstructured data — securing and protecting private information more effectively — Elastic’s complete, cloud-based solutions for search, security, and observability help organizations deliver on the promise of AI. Elastic is looking for a Public Sector Partner Manager to build and grow a high-performing ecosystem of Global System Integrators (GSIs) and Influence Partners (IPs) across the UK Public Sector. You will develop strategic partnerships that help government organisations overcome fragmented data, strengthen cyber resilience, modernise operations, and build trusted foundations for AI adoption. Working across Central Government, Defence, Healthcare, Public Safety, Education, and Critical National Infrastructure, you will enable partners to deliver measurable customer outcomes while driving sustainable growth for both Elastic and our ecosystem. Success is measured by the strength of the partner community you build, the capabilities you develop, the customer outcomes you enable, and the long-term value you create. What You'll Do Build and grow strategic GSI and IP partnerships across UK Public Sector. Create executive relationships that drive joint growth and customer success. Develop partner capabilities through enablement, certifications, and solution development. Lead joint go-to-market initiatives with Sales, Solutions Architecture, Services, Marketing, and Customer Success. Drive partner-sourced and partner-influenced pipeline through strategic account planning and pursuit engagement. Foster a culture of collaboration, reuse, and innovation across