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Infrastructure Network And Supply Engineer Jobs

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Explore current infrastructure network and supply engineer jobs. Use filters to narrow by work mode, employment type, experience and date posted.

Position Overview SingleStore is seeking a Site Reliability Engineer to help optimize and scale our managed service offering across all three major cloud providers. In this role, you will be at the intersection of leading technology trends – A highly performant distributed database, managed by Kubernetes, running in the cloud. This is a great opportunity to push the boundaries with a cloud focused SRE role. This is a development role, requiring an engineering mindset to solve operational challenges. You will be part of a globally distributed team of engineers, helping to drive SRE practices across the company. Through infrastructure automation, you will help us grow our service across multiple cloud platforms. This requires a relentless focus on eliminating manual processes. You will also leverage our monitoring platform to improve the overall customer experience by systematically identifying and fixing any issues impacting our customers. As an SRE, you will also help diagnose issues on the platform, leveraging a deep understanding of the SingleStore query engine along with the backend infrastructure. What you'll do: Develop automation platform to manage infrastructure rollouts across cloud providers Optimize telemetry platform to identify customer impacting events while providing relevant data to drive debugging Partner with engineering team to optimize performance of services for cloud architecture Debug Live Site events and conduct follow-up postmortem and RCA analysis Participate in an SLA-driven on-call rotation, which will include after-hours, weekend, and rotating holiday participation. Your Experience: Infrastructure automation experience. Python and Golang a plus. Knowledge of Kubernetes and the container ecosystem Strong cross group collaboration and communication skills Familiar with at least one of AWS, Azure, or Google Cloud Experience debugging, diagnosing and troubleshooting compl

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About Zeta Build the future of banking. Zeta is a next-generation banking technology company providing cloud-native, fully stackable processing and core banking platforms for issuers. With a focus on scalability, compliance, and innovation, Zeta empowers financial institutions to modernize their technology infrastructure and deliver secure, seamless digital banking experiences. Our impact runs at real-world scale. Today, over 25 million cards are live on Zeta-powered platforms across 7 countries, supported by a passionate team of 1,700+ Zetanauts across India, the US, EMEA, and Asia. Backed by SoftBank Vision Fund, Mastercard, and other reputed strategic investors, we reached a valuation of $2 billion in 2025. Our focus is on establishing product lines that focus on key outcomes by addressing real customer pain points, modernizing legacy systems, and strengthening core fundamentals. As a result, our systems and platforms support a wide range of banking and payments capabilities, including: 1. Tachyon, our cloud-native banking stack built for population-scale systems 2. Cipher, our unified authentication platform for secure, high-volume banking environments 3. Digital Credit as a Service, enabling banks to launch credit lines on UPI 4. Elena, our intelligent and conversational AI platform for banking. 5. Pixel, India’s first digital-native credit card, launched in partnership with HDFC Bank, for whom we also revamped their PayZapp mobile app: Winner of the Celent Model Bank Award for Payments Innovation 2024. 6. Sparrow, the leading card experience for non-prime cardholders in the US …and more across cards, payments, lending, and core banking. We are an engineering-first organization that values ownership, bias for action, and long-term thinking. Together, we solve some of the hardest problems in banking tech. Our culture is built around trust, collaboration, and creating the conditions for you to drive impact proportionate to your potential. R

aiproject management
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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. What is The Role This role focuses on driving business intelligence and performance optimization across regional marketing initiatives by leveraging existing enterprise data products and reports developed by our core internal team. Rather than building new reporting infrastructure, this individual will serve as the expert user of established dashboards—analyzing results, diagnosing anomalies, and translating existing data into strategic insights. This position partners closely with regional marketing leaders to review performance and conduct ad-hoc deep-dive analyses that support marketing effectiveness , campaign ROI, and strategic decision-making. What You Will Be Doing Analyze global and regional marketing results using existing core dashboards and reports to identify underlying performance trends, growth drivers, and shifting data patterns. Conduct ad-hoc deep-dive analyses using established data products to independently diagnose performance anomalies, tracking down the root causes of unexpected traffic spikes or pipeline drops. Partner directly with regional marketing teams to build deep local business context, scope analytical requests, and translate standard dashboard data into actionable performance insights. Synthesize complex datasets from existing reports into clear summaries, providing regional leadership with strategic recommendatio

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Anthropic
📍 Friendly• Remote• $300K – $320K/yr
1mo ago

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the Team The Security Engineering team's mission is to safeguard our AI systems and maintain the trust of our users and society at large. Whether we're developing critical security infrastructure, building secure development practices, or partnering with our research and product teams, we are committed to operating as a world-class security organization and keeping the safety and trust of our users at the forefront of everything we do. What You’ll Do: Conduct red and purple team engagements simulating advanced threat actors across our cloud infrastructure, endpoints and bare metal deployments. Penetration test specific, high value deployments. Contribute to AI-assisted security testing tooling and workflows. Work cross functionally with other security and engineering teams, particularly on AI-specific attack scenarios. Document and present findings to technical and executive audiences, translating attack narratives into actionable risk insights that inform security roadmaps. Who You Are: 5+ years of hands-on experience in red teaming and offensive security operations Deep expertise in at least two of: macOS security, Linux Security, Cloud security (GCP/AWS/Azure), Kubernetes, CI/CD pipelines Track record of discovering novel attack vectors and chaining vulnerabilities creatively Experience conducting adversarial simulations against well-defended environments Strong engineering skills (Python, Go, or similar) Ability to write clear findings that drive action, helping teams understand risk and prioritize fixes Collaborative approach, working in close collaboration with the blue team Strong candidates may also have experience with:

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OpenAI
📍 San Francisco• Full-time• Remote• $266K – $468K/yr
1mo ago

About the Team OpenAI develops models that can reason through complex problems and hardware designed for the demands of advanced AI. AI for Chips connects these efforts: applying increasingly capable AI systems to the work of semiconductor engineering. Our goal is to help engineers develop better chips and shorten design cycles. This work brings research, model training, and hardware expertise together to build tools that engineers can use on real designs, with correctness and measurable performance at the center. About the Role We’re hiring a Software Engineer to build the research infrastructure and tooling that help OpenAI models design silicon. You’ll turn chip-design workflows into reliable environments for reinforcement learning and evaluation, and make it easier for researchers to run experiments and iterate on new ideas. You’ll move between software engineering, tool integration, and open research problems. We value strong coding fundamentals, clear technical judgment, and independent execution. Prior chip-design experience is helpful, but you can learn the domain alongside the team’s hardware specialists. In this role, you will: Build and maintain infrastructure for reinforcement learning environments, evaluations, and long-running experiments. Integrate electronic design automation (EDA) tools into workflows for RTL generation, verification, and physical design optimization. Improve experiment reliability, reproducibility, observability, and performance; debug failures across tools, services, and infrastructure. Develop tooling and model harnesses that let researchers test ideas quickly and measure correctness and power, performance, and area (PPA). Collaborate with researchers and engineers to turn successful experiments into reusable systems and training workflows. Own ambiguous projects end to end, communicate progress, and use results to guide the next iteration. You might thrive in this role if you: Have strong software engineering fundamentals, with

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Coinbase
📍 New York• Hybrid• $50 – $50/hr
1mo ago

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 . This is a 12-week internship during summer 2027. You'll join the Analytics Engineering team within Platform, which builds and maintains the trusted data infrastructure that powers decision-making across Coinbase. As an Analytics Engineer Intern, you'll model complex data, build scalable pipelines, and deliver insights that help teams across the company unlock the full potential of our data. You will gain hands-on experience building production data systems at scale, mentorship from senior analytics engineers, and exposure to how data powers decision-making across a publicly traded crypto-native company. What you'll do: Build and maintain dimensional data models that transform raw data into clean, reliable datasets used by analysts, data scientists, and product teams across the organization. Develop data pipelines using SQL, ensuring data quality, freshness, and documentation meet production standards. Partner with cross-functional stakeholders to understand their data needs and deliver well-structured datasets or dashboards that enable self-serve analytics. Leverage generative AI tools to streamline data development, modeling, and documentation workflows. Investigate and resolve data quality issues, implementing tests and monitors that catch problems before they reach downstream consumers. Required Skills and Experience: Currently pursuing a degree in computer scienc

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Coinbase
📍 San Francisco• Hybrid• $50 – $50/hr
1mo ago

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 . This is a 12-week internship during summer 2027. As a Data Engineer Intern within the Platform product group, you'll partner with analytics engineering to build and maintain the data pipelines and infrastructure that power insights across Coinbase. You'll work alongside senior engineers and cross-functional partners in product and engineering to ensure data accuracy, scalability, and accessibility for analytical and machine learning use cases. What you'll do: Build and maintain data pipelines that ensure data integrity and accessibility for analytics and machine learning workloads Support the development of scalable data infrastructure using Python and cloud-based technologies Integrate and manage data from multiple sources, including internal systems and external APIs Contribute to analytical deep dives with senior team members, translating findings into clear documentation and recommendations Learn and apply data engineering best practices including data governance, security, and performance optimization Required Skills and Experience: Completed or in-progress coursework in Computer Science, Data Engineering, or equivalent experience with demonstrated programming proficiency in Python, including data structures and algorithms Hands-on experience writing SQL for data analysis and working with relational database concepts Familiarity with cloud platforms (AWS, GCP, o

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Coinbase
📍 United States• Remote
1mo ago

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 . Join the Money Movement team within the Developer product group and help build the infrastructure powering the future of global payments. CDP brings together payments, trading, wallets, and stablecoins through a single onboarding flow and self-service APIs. You'll design and build backend systems for stablecoin-based pay-ins, payouts, deposits, and withdrawals, enabling fast, secure, and scalable transfers that underpin how value moves across the Coinbase ecosystem and beyond. What you'll do: Own key projects end-to-end as the Directly Responsible Individual, driving stablecoin-based money movement features from system design through production deployment with high accountability. Build backend systems, infrastructure, and internal/external APIs that enable businesses and partners to embed stablecoin-powered payments into their products. Partner with Product, Design, Infrastructure, and Compliance to translate requirements into robust, scalable solutions that balance speed, security, and regulatory needs. Execute performance, scalability, and reliability improvements across distributed systems, identifying bottlenecks and driving fixes before they impact customers. Support the team's engineering quality through code reviews, architectural best practices, and contributing to patterns that raise the technical bar. Required Skills and Experience: 2+ years of software en

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OpenAI
📍 San Francisco• Full-time• $380K – $460K/yr
1mo ago

About the Team Our Robotics team is focused on unlocking general-purpose robotics and pushing towards AGI-level intelligence in dynamic, real-world settings. Working across the entire model stack, we integrate cutting-edge hardware and software to explore a broad range of robotic form factors. We strive to seamlessly blend high-level AI capabilities with the constraints of physical systems to improve peoples’ lives. About the Role We’re looking for a Robotics Control Systems Engineer to take on a foundational role within our robotics team. You’ll help architect, implement, tune, and verify the control infrastructure that enables intelligent, reliable, and responsive robot behavior. This is a deeply hands-on role focused on real-time systems, actuation, dynamics, low-level hardware interaction, and whole-robot performance. You’ll spend significant time working directly with robots onsite: debugging behavior, tuning subsystems, running experiments, and providing feedback across mechanical, electrical, and software teams. This role is based in San Francisco, CA, and requires in-person 5 days a week. In this role, you will: Design and implement real-time control algorithms for robotic systems, including motion control, feedback loops, state estimation, actuator control, and subsystem tuning. Define the control architecture from low-level actuators and hardware interfaces through whole-robot behavior and policy. Identify and characterize actuator, hardware, and software parameters through rigorous experimentation, testing, commissioning, and verification. Work with machine learning engineers to implement reinforcement learning models. Collaborate across mechanical, electrical, and software teams to integrate control logic with sensing and actuation hardware. Help inform the mechanical and electrical design to maximize capability and flexibility. Create the control system architecture; determine the correct level of abstraction from actuators all the way up to whole-robot

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Baseten
📍 San Francisco• Full-time• Remote• $170K – $230K/yr
1mo ago

ABOUT BASETEN Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma, and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F , led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to ship AI products. THE ROLE As a Global Capacity Manager at Baseten, you will lead the "engine room" of the company, architecting, securing, and optimizing the global GPU fleet that powers our customers' AI workloads. You’ll own the end-to-end journey of capacity management, from securing multi-million dollar GPU clusters to building the automation that ensures 99.9% uptime across multi-cloud environments. This role is a great fit for entrepreneurial engineers who want to bridge the gap between high-finance asset management and deep infrastructure engineering. You will act as the fleet orchestrator for the world's most advanced chips, ensuring Baseten never experiences a capacity outage while maintaining elite unit economics. To be clear, this is a high-stakes engineering role. You will be hands-on with Kubernetes orchestration while also leading specialized pods focused on the next generation of hardware, like NVIDIA’s Blackwell (B200) architecture. EXAMPLE INITIATIVES The B200 Frontier: Architecting the infrastructure readiness and deployment strategy for Baseten's first Blackwell GPU clusters. Global Workload Orchestration: Building "Multi-cloud Capacity Management" systems to move customer workloads seamlessly across regions to optimize cost and latency. Precision GPU Triage: Developing automated Go-based operators to identify, cordon, and repair unhealthy H100 nodes in under an hour. The Supply Chain of Intelligence: Partnering with l

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Rubrik Job Board
📍 United States• Remote• $126.1K – $170K/yr
1mo ago

Rubrik has become the fastest growing enterprise software company in Silicon Valley. We are seeking a passionate and highly driven individual to join our world class, career enhancing Sales Operations team! This team partners with Field Sales Leaders on cutting edge GTM strategies, metric tracking, and infrastructure development. Sales Operations is integral to the overall success of the sales organization, providing data, process, and decision making that ultimately drives revenue, growth and sales productivity. Rubrik’s Americas Sales team is one of the fastest growing in the industry and is led by a dynamic team of sales executives and cross-functional leaders. The Field Sales Operations Manager will have the charter and opportunity to help shape the growth of the business through a combination of metric tracking and reporting, territory planning, and strategic projects focused on growth and optimization. What You’ll Do: Work directly with our Americas sales teams (AE to Sr. VP’s) to help grow and shape the business to drive growth, bringing a combination of analytical and operational experience Partner with the sales leadership to drive a strong operational cadence around forecasting, pipeline management, account management, and sales performance reporting Own a weekly reporting cadence that provides a view into the business segment health and potential blind spots in performance Drive accountability for key sales revenue KPI’s throughout the quarter Bring analytics and problem-solving acumen, with experience working on large datasets and initiatives to drive short, and long-term revenue goals Deliver Quarterly Business Reviews (QBR) to segment leaders and management, covering prior-quarter performance and progress Invest in identifying areas of improvement and managing/delivering ad-hoc projects pertaining to sales strategy/ops. and related areas to drive value Engage and be able to Influence cross-functional stakeholders in identifying

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Apply early for priority consideration. Gallup has limited openings for this internship, and the position will be filled quickly. As a data engineering intern at Gallup, you’ll help build and modernize the data tools, infrastructure and pipelines that enable teams to work with data at scale. Alongside experienced technical leaders, you’ll put your Python and SQL skills to work on meaningful projects while learning best practices, experimenting with modern tools and seeing firsthand how strong data engineering supports better decisions. What You’ll Do During your internship, you will: Build foundational data tooling and infrastructure designed to scale as the volume and frequency of data grow Help modernize legacy data pipelines using Python, SQL and Gallup’s evolving data platform Troubleshoot data quality issues in large, imperfect datasets Apply data engineering practices to move, transform and validate data across systems Help build reliable, efficient data workflows Learn from senior technical leaders who will mentor you on engineering practices, tools and approaches Collaborate with engineers and interact directly with stakeholders to understand needs and deliver useful solutions Use AI-enabled development tools to improve the quality and efficiency of your work What You Need Enrollment in an associate, bachelor’s or graduate degree program in computer science, data engineering, information systems, statistics, math or a related field required Classroom or work experience writing SQL required, including joins, aggregations and troubleshooting query performance Classroom or work experience coding in Python for data processing, scripting or automation required Working knowledge of relational database and data modeling concepts, including schema design and dimensional or star-schema modeling, required Comfort using AI tools such as Claude, Claude Code or GitHub Copilot to support high-quality, efficient work required Understanding of ETL/ELT concepts and how data

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CSQ427R187 PLEASE NOTE: Due to federal contract requirements and client site access obligations, U.S. citizenship and eligibility for a U.S. government secret clearance are required to access classified information. Candidates with an active Secret or higher clearance are strongly encouraged to apply. About Databricks At Databricks, we are passionate about enabling data teams to solve the world's toughest problems, from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world's best data and AI infrastructure platform so our customers can use deep data insights to improve their business. Founded by engineers, and customer obsessed, we leap at every opportunity to solve technical challenges, from designing next-gen UI/UX for interfacing with data to scaling our services and infrastructure across millions of virtual machines. And we're only getting started. The Role As a Sr. Forward Deployed Engineer (FDE), you will work with federal government customers to build and productionize solutions to their data & AI challenges using the Databricks platform. You will own the architecture, lead design decisions, and implement end-to-end systems spanning data engineering, AI, and application development. We work cross-functionally to shape long-term strategic priorities and initiatives alongside engineering, product, and developer relations. FDEs deliver with customer empathy, integrating with client systems, training, and other technical needs to help customers get most value out of their data. This is a hands-on, customer-facing role for builders who thrive at the intersection of technology and business impact. The ideal candidate combines engineering expertise with adaptability, curiosity, and a passion for working with customers and teammates to solve complex problems that drive measurable outcomes. FDEs are billable and know how to complete projects according to specifi

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Samsara
📍 Azerbaijan• Remote• $222.4K – $278K/yr
1mo ago

Who we are Samsara (NYSE: IOT) is the pioneer of the Connected Operations™ Cloud, which is a platform that enables organizations that depend on physical operations to harness Internet of Things (IoT) data to develop actionable insights and improve their operations. At Samsara, we are helping improve the safety, efficiency and sustainability of the physical operations that power our global economy. Representing more than 40% of global GDP, these industries are the infrastructure of our planet, including agriculture, construction, field services, transportation, and manufacturing — and we are excited to help digitally transform their operations at scale. Working at Samsara means you’ll help define the future of physical operations and be on a team that’s shaping an exciting array of product solutions, including Video-Based Safety, Vehicle Telematics, Apps and Driver Workflows, and Equipment Monitoring. As part of a recently public company, you’ll have the autonomy and support to make an impact as we build for the long term. About the role: The Enterprise sales team is responsible for revenue growth in new and existing customers that represent the largest prospective accounts for Samsara by total addressable opportunity. This is a remote opportunity for candidates located in the Arizona. In this role, you will: Develop Executive-Level relationships within strategic, named accounts Own customer engagements end-to-end, from prospecting and qualification to close Demonstrate excellent solution-based sales process in complex sales campaigns Champion, role model, and embed Samsara’s cultural principles (Focus on Customer Success, Build for the Long Term, Adopt a Growth Mindset, Be Inclusive, Win as a Team) as we scale globally and across new offices Minimum requirements for the role: 5+ years of experience in a full-cycle, closing sales role Proven track record of consistent quota over-achievement in complex accounts and $500k+ ARR transactions Experience handling and

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SingleStore-LinkedIn
📍 United States• $200K – $300K/yr
1mo ago

SVP, Americas Sales Location: Remote, Americas Reports to: Chief Revenue Officer About SingleStore SingleStore helps leading enterprises break free from legacy systems and fragmented data architectures with a unified, cloud-native data platform built for real-time transactions and analytics at scale. Our platform helps customers modernize data infrastructure, accelerate AI initiatives, and drive meaningful business transformation. Our customers operate in data-intensive industries where performance, scalability, and data reliability are mission-critical. We partner with them to solve complex business and technical challenges and turn data into measurable outcomes. The Opportunity SingleStore is seeking an accomplished, strategic, and execution-oriented sales leader to serve as SVP, Americas Sales. This executive will own the Americas go-to-market motion across Enterprise, Commercial, and Strategic segments, with leaders and teams rolling up to this role. The SVP, Americas Sales will be accountable for growth across new logo acquisition, expansion, forecast performance, and long-term customer value. This leader will set the operating rhythm for the Americas sales organization, develop a high-performing leadership team, and partner closely with the CRO and cross-functional executives to scale a predictable, value-led revenue engine. This is an opportunity to shape the next phase of SingleStore’s growth while helping customers modernize their data environments and build the foundation for real-time applications and AI-driven initiatives. What You’ll Do Own the Americas sales strategy and revenue plan across Enterprise, Commercial, and Strategic segments. Translate company priorities into clear regional goals, coverage models, account strategies, resource plans, and execution priorities. Lead, coach, and develop the Americas sales leadership team, creating clarity of ownership and consistent standards across segments. Build a culture of accountability, urgency, customer

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