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System Engineering Intern Jobs

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Explore current system engineering intern jobs. Use filters to narrow by work mode, employment type, experience and date posted.

E(
21 days ago

About Ema Ema is building the world’s leading Agentic AI platform to transform enterprise productivity. We enable organizations to delegate repetitive tasks to Ema, the Universal AI Employee, delivering 10x gains in workforce efficiency, across functions. Founded by former executives from Google, Coinbase, Flipkart, and Okta, our team includes engineers from premier tech companies and graduates of Stanford, MIT, UC Berkeley, CMU, and IITs. We are backed by industry leading investors including Accel, Naspers/Prosus, Section32, and angels like Sheryl Sandberg and Dustin Moskovitz. Headquartered in Silicon Valley and with offices in London, Bangalore and Vancouver, Ema is at the frontier of what Agentic AI can do in production — we ship real systems that run real business processes at scale. About the role As Ema scales, our corporate IT environment tools, access, devices, and compliance has outgrown an ownership-by-default model. We're hiring an IT Engineer to own it end to end. This is not a traditional helpdesk role. Ema is an agentic AI company, and we expect our own internal operations to reflect that. You'll run corporate IT while systematically automating it, using agentic tooling to remove the manual work rather than absorbing it. The measure of success in this role is how little of it remains manual after a year and every employee’s experience is great. What you'll do Agentic Workflows & Automation: Treat every recurring manual task as an automation candidate, extending existing systems and leveraging AI coding tools to design autonomous workflows. Automated Identity & Access: Shift JML lifecycles, including global employee onboarding, Okta/SCIM provisioning, and access reviews from ticket-driven processes to policy-driven automation. SaaS Lifecycle Automation: Programmatically maintain tool inventories, track utilization, and reclaim unused licenses automatically. Automated Endpoint Security: Manage fleet MDM while automating OS patching, encryption b

pythonaigo
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Coinbase
📍 Singapore• Full-time• Remote• From S$143.7K/yr
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 . Software Engineer, Data Layer As a Software Engineer on the Data Layer team within the Platform group, you'll shape the API (GraphQL) platform that connects every client application to Coinbase's backend services, handling the majority of user traffic across Consumer, Base, and Institutional products. You'll own the critical systems that route and serve API requests at scale, improving reliability, performance, and developer experience for hundreds of engineers building on this foundation layer. What you'll do: Own and deliver projects end to end, from scoping and system design through implementation, rollout, and production validation, driving measurable progress on the team's highest-priority initiatives. Design and build high-reliability, low-latency systems serving millions of users, tackling challenges like caching, upstream service optimization, and efficient connection management at scale. Build and improve the API framework and tooling that hundreds of engineers depend on, making it fast and easy for teams across the company to build, test, and ship independently. Drive operational excellence across T0 services: own SLOs, improve observability, lead incident response, and reduce operational toil so the team can invest in high-leverage work. Partner cross-functionally with product engineering teams to design API schemas, support service launches, and ens

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A
Anyscale
📍 Remote• Full-time
1mo ago

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 Anyscale's security and compliance needs are growing as we work with larger and more demanding customers. Compliance is increasingly a customer-facing, contractual function rather than an internal exercise, and we are looking for someone to own it. This role owns that function end to end: our audits, our evidence base, our risk register, and the security diligence that customers put us through before and during a contract. You will work directly with the Head of Security and across engineering, IT, legal, and sales. This is a program-ownership role with the autonomy and accountability that implies. You will not have a senior compliance function above you to defer to; you are that function. In your first year, success looks like a complete and defensible evidence base with clean audit outcomes, a repeatable way to answer customer security diligence, and a risk register that leadership actually uses. What You'll Do Own our SOC 2 Type II and ISO 27001 programs, and future frameworks as we take them on, including scope, evidence, control operation, and the relationship with our external auditors. Own and complete the control evidence base in our compliance automation platform, moving controls from partially substantia

machine learningaigo
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Coinbase
📍 United States• Full-time• Remote• From $218K/yr
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 . As a Staff Software Engineer on the Core Automation team within the Platform group, you'll architect and build the Agentic AI systems that are transforming how Coinbase operates. This team is reimagining customer support and compliance processes for a fully AI-driven world, designing intelligent agents, orchestration frameworks, and measurement systems that deliver delightful customer experiences at scale. You'll own the technical direction for production AI systems, working across cross-functional teams to bring this vision to reality while building primitives that scale automation across the company. What you'll do: Architect and build Agentic AI systems that power Coinbase's compliance automation and other Operations, from intelligent agents through orchestration and guardrails Design foundational APIs and measurement frameworks that ensure AI agents are grounded, relevant, and reliably deliver customer delight with minimal hallucination Lead technical direction for distributed systems underpinning AI automation, defining architecture patterns and strategic roadmaps in partnership with engineering leadership Build reusable primitives and orchestration solutions that enable AI-powered automation to scale across multiple domains beyond the initial customer support and compliance focus Mentor engineers on AI system design techniques, coding standards, and production-

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A
Anyscale
📍 Remote• Full-time
1mo ago

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 Ray Data Team: Ray Data is Python-native data processing engine that is a one stop shop for all AI data processing needs. Ray Data provides performant, first-class integration with cutting edge AI frameworks using both multi-modal and structured data. The Ray Data team currently develops and maintains Ray Data . We are a team of engineers passionate about building a Data processing engine which is a one-stop shop for all of your ML/AI needs. We are looking for exceptional engineers to build, optimize, and scale Ray for modern and increasingly complex AI workloads. As part of this role, you will: Improve the performance of Ray Data and multi-modal batch inference use cases. Ensure efficient scaling across different stages of the Data pipeline in a heterogeneous environment. Building data loading solutions for production training workloads. Focus on stability and fault tolerance at high scale Working with customers and new age AI native companies in scaling their AI workloads. We'd love to hear from you if have: At least 3-4 years of relevant work experience Solid background in building scalable and fault-tolerant distributed systems Experience with data processing, database internals. Passionate about large

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E(
1mo ago

About Ema Ema is building the world’s leading Agentic AI platform to transform enterprise productivity. We enable organizations to delegate repetitive tasks to Ema, the Universal AI Employee, delivering 10x gains in workforce efficiency, across functions. Founded by former executives from Google, Coinbase, Flipkart, and Okta, our team includes engineers from premier tech companies and graduates of Stanford, MIT, UC Berkeley, CMU, and IITs. We are backed by industry leading investors including Accel, Naspers/Prosus, Section32, and angels like Sheryl Sandberg and Dustin Moskovitz. Headquartered in Silicon Valley and with offices in London, Bangalore and Vancouver, Ema is at the frontier of what Agentic AI can do in production — we ship real systems that run real business processes at scale. We’re looking for Fresh graduates from top Universities who want to push AI from theory into history-making reality.. We are founded by ex-Google, Coinbase, Okta executives, and serial entrepreneurs. We’re well-funded by the top investors and angels in the world. What is the AI resident/Data Resident program? A 6 month remote internship opportunity offering you a glimpse into the real world applications of machine learning and data engineering to build scalable solutions for enterprises. Our aim - creating an experience that allows final year college students to learn how fast growing startups work, gain practical skills, build real world experience, develop a greater understanding of the GenAI and data engineering industry and form valuable connections. Become a part of our extraordinary team of world-class software engineers and leading machine learning and data engineering practitioners. At the end of their stints, top performing residents will get an opportunity to meet the co- founders and the team in our Bangalore office and shall be awarded full time positions at Ema. We envision this program as a launchpad for future AI/Data leaders of our company. Who is eligible for this

REMOTEpythonsqlrest
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C
Coinbase
📍 - USA• Full-time• Remote• From $186.1K/yr
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 . We're hiring a Senior Software Engineer to join the CB Node team within the Platform organization. This team runs all the blockchain nodes that power every asset Coinbase offers to customers, currently spanning 55 unique protocols across Ethereum, Bitcoin, Solana, and beyond. You'll focus on performance optimization and reliability across the blockchain platform stack, diagnosing root causes instead of over-provisioning, reducing infrastructure spend, and building the observability and health-check systems that keep our nodes reliable at scale. What you'll do: Own deep performance analysis and optimization across the blockchain node stack, diagnosing root causes of resource consumption and implementing system-level fixes that reduce infrastructure spend while maintaining reliability SLOs. Build observability, health-check, and automated failover capabilities for blockchain nodes, ensuring the team can detect degradation and respond proactively rather than reactively scaling resources. Drive a right-sizing initiative across the node fleet, profiling workloads, identifying over-provisioned instances, and establishing capacity models that balance cost efficiency with headroom for reliability. Partner with protocol integration engineers, wallet teams, and indexer teams to extend performance improvements across the full blockchain platform stack, not just the node la

REMOTEreactawsai
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R
Roblox
📍 San Mateo• Full-time• From $287.8K/yr
1mo ago

Every day, tens of millions of people come to Roblox to explore, create, play, learn, and connect with friends in 3D immersive digital experiences– all created by our global community of developers and creators. At Roblox, we’re building the tools and platform that empower our community to bring any experience that they can imagine to life. Our vision is to reimagine the way people come together, from anywhere in the world, and on any device. We’re on a mission to connect a billion people with optimism and civility, and looking for amazing talent to help us get there. A career at Roblox means you’ll be working to shape the future of human interaction, solving unique technical challenges at scale, and helping to create safer, more civil shared experiences for everyone. As a Senior Software Engineer on the Privacy Infrastructure team, you’ll design and build large-scale systems that operate across Roblox’s platform and data ecosystem. You’ll tackle complex distributed systems challenges, develop reliable and scalable infrastructure, and work across engineering teams to deliver foundational capabilities that serve millions of users. This is an opportunity to take on high-impact technical problems at Roblox scale while helping shape the next generation of our infrastructure. You Will Design, build, and scale reliable infrastructure and platform solutions that protect user data and support the needs of a global platform. Develop foundational capabilities for emerging technologies, including agentic AI workflows, with a focus on safe and responsible data access. Partner with engineering teams across Roblox to integrate scalable data protection capabilities into their systems and development workflows Drive technical strategy and architecture for complex, cross-cutting challenges spanning data, infrastructure, privacy, and security. You Have 7+ years of proven experience as a software engineer. Expertise in Python or Golang; Strong understanding of system

pythonawsgit
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F
1mo ago

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. Why Customs Matters More Than Ever International trade is under more pressure than ever before. With tariffs, shifting regulations, and geopolitical uncertainty, customs has gone from a back-office function to a boardroom priority. The recent trade crisis—sparked by Trump-era tariffs—has made customs the single most complex challenge for global businesses. For many, it’s the difference between keeping supply chains moving or grinding them to a halt. That’s where we come in. The Customs Technology team at Flexport is leading the charge. We are building the systems that help entrepreneurs and global brands navigate complexity, stay compliant, and keep the world’s goods flowing. The opportunity: Customs brokerage is one of the largest, most under-innovated opportunities in logistics. Legacy customs brokers are stuck with outdated systems and manual processes—they simply can’t adapt fast enough. Flexport is growing fast because we’re different. We are the only big tech company in the space, and the only freight forwarder that got founded after the launch of Netscape. Being a tech company, we can move much faster than our competitors, and give our customers the se

typescriptreactkubernetes
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About Us: AI needs a new infrastructure layer. We're building it at Modal. Every era of computing brought new workloads that previous infrastructure couldn't support: mainframes, databases, and the cloud. Each time, the company that rebuilt the layer underneath defined the decade. AI is no different, except it touches everything instead of one slice, and the window to build the layer underneath it is open right now. Our customers include category-defining companies like Lovable , Ramp , Cognition, DoorDash, and Suno. They rely on Modal for instant GPU access, sub-second container starts, and native storage, so it's simple to serve low-latency inference, fine-tune models, and access production-ready sandboxes at scale. We recently raised a $355M Series C at a $4.65B valuation, led by General Catalyst and Redpoint Ventures. We've crossed $300M+ ARR and grown fivefold since September. Our team includes creators of popular open-source projects (e.g., Seaborn , Luig i ), academic researchers, international olympiad medalists, and experienced engineering and product leaders with decades of experience. The Role: We're building a platform that covers the whole life of an LLM: training it, deploying it, and observing it in production. We already run multi-node training, elastic inference, sandboxes, and distributed volumes, and we control the infrastructure underneath. We’re looking for research depth in post-training to sit alongside our systems and product work. What you'll do: We are looking for research scientists with a strong track record in reinforcement learning, machine learning, and foundation models, including large language and multimodal models, to join our research team. This role is well suited to candidates interested in improving existing methods and developing new techniques for large-scale model training, optimization, and inference, extending models to long-context and long-horizon tasks, and improving inference-time efficiency, reliability, and robustnes

restmachine learningai
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Mutiny
📍 New York• Full-time
1mo ago

What we're building Mutiny is the self-improving AI infrastructure for GTM teams to execute faster and close more revenue. Our ambition is to do for revenue velocity what Cursor and Claude Code did for engineering velocity. With Mutiny, everyone in sales and marketing gets a bench of GTM athletes that handle any work across their revenue motion and learn from what's actually moved their deals. In April we re-launched the product as an agent-first platform. Anthropic showcased us as a leader in AI GTM. MRR is growing more than 70% month-over-month, with customers like Uber, Rippling, and Snowflake. We're backed by Sequoia, YC, and Insight, and we're building a generational company. The opportunity Most design hires inherit a system. You'll build it. As a founding designer, you'll partner with the founders and engineering to define how Mutiny looks, feels, and behaves, from the first interaction with the creative agent to the final published asset. They have high standards and strong opinions and you'll hear from them constantly. The patterns you set become the shared language for what AI-native GTM software feels like. This role is in person in New York City, five days a week. What you'll own The end-to-end product. From the first interaction with the creative agent to the final published asset. Design new surfaces, rethink existing ones, and figure out which tedious parts of GTM work AI should take over so customers spend their time being strategic. The creative agent's output. The work the agent produces matters as much as the surface around it. Partner with engineering on better defaults, smarter constraints, and stronger adherence to brand guidelines. An AI that's genuinely creative and knows how to color inside the lines when it needs to. Taste as a system. Curate what good looks like. Build the feedback loops that make the model's output sharper every week. Decide what ships and what doesn't. The design system. Components, patterns, and guardrails that let prod

reactaigo
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S
1mo ago

Supabase is the Postgres development platform, built by developers for developers. We provide a complete backend solution including Database, Auth, Storage, Edge Functions, Realtime, and Vector Search. All services are deeply integrated and designed for growth. We're looking for an engineer to own the deployment and operational infrastructure of Multigres, our distributed Postgres platform. You'll be responsible for building and maintaining the Multigres Operator, ensuring reliable cloud deployments, and creating the tooling that powers our Kubernetes-based infrastructure. What You’ll Be Responsible for: Build and maintain the Multigres Operator - Maintain our Go-based Kubernetes operator that orchestrates distributed Postgres deployments Architect cloud deployment infrastructure - Design and implement robust deployment patterns for EKS and other Kubernetes platforms Manage storage and networking layers - Work with CSI drivers, persistent volumes, and cross-cloud networking to ensure data reliability and connectivity Develop deployment tooling - Create internal tools and automation for provisioning, scaling, and managing Multigres clusters Ensure operational excellence - Build monitoring, alerting, and diagnostic capabilities into the deployment layer Collaborate across teams - Work with database engineers, SRE, and product teams to deliver seamless deployment experiences You Might Be a Good Fit If You have: Strong systems programming skills - Proficiency in Go and experience building production-grade operators or controllers Deep Kubernetes expertise - Hands-on experience with Kubernetes internals, custom resources, and cloud-managed Kubernetes services (EKS, GKE, AKS) Database operations knowledge - Understanding of database deployment patterns, backup/restore, replication, and high availability Distributed systems experience - Familiarity with consensus protocols, failure scenarios, and designing for resilience Cloud infrastructure background - Experience with cl

kubernetesrestai
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Supabase
📍 Remote• Full-time
1mo ago

About Supabase Supabase is the Postgres development platform, built by developers for developers. We provide a complete backend solution including Database, Auth, Storage, Edge Functions, Realtime, and Vector Search. All services are deeply integrated and designed for growth. About the Role We're looking for engineers to join the team building Supabase Lite , a lightweight, TypeScript-native implementation of Supabase. It runs interchangeably on SQLite and Postgres and ships a PostgREST and Auth compatible API, so applications written against @supabase/supabase-js work as-is. It exists because AI builders and platform partners need a database they can give to every prototype without the cost or the wait: sub-second provisioning, a footprint small enough to run inside a sandbox, and an upgrade path to full Supabase when an app graduates to production. This is a role with a lot of agency. Small team, working product, patterns still to be set - you'll own large areas end to end and make real decisions from day one. What You'll Be Responsible For In this role, you'll: Grow API compatibility with the Supabase client, keeping behavior faithful to hosted Supabase and backed by conformance tests Bring more of the Supabase stack to SQLite Build and harden the path for upgrading a project from Supabase Lite to full Supabase Own the developer experience end to end: the CLI, local tooling, and docs Build and harden the hosted offering on a scale-to-zero, near-zero-cost footing, kept loosely coupled so the implementation can be swapped without a rewrite Work directly with design partners and turn real-world migration and integration friction into a sharper product Engage with the open-source community and contribute back to the broader Supabase stack. You Might Be a Good Fit If You Have substantial backend or full-stack experience with strong fluency in TypeScript, and have built or contributed to a backend system, framework, or developer platform before Are a strong generalist,

typescriptsqlrest
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S
1mo ago

About Supabase Supabase is the Postgres development platform, built by developers for developers. We provide a complete backend solution including Database, Auth, Storage, Edge Functions, Realtime, and Vector Search. All services are deeply integrated and designed for growth. About the Role We’re looking for a Postgres Deployment Engineer to join our PostgreSQL team and help elevate our PostgreSQL offerings. You’ll work closely with the PostgreSQL team, playing an instrumental role in technical decision-making and refining internal methodologies. This role is ideal for someone who thrives in async, fast-paced environments and is excited about building developer tools that scale to millions. The focus of this role is owning the stability and deployment of our products. You will act as a bridge between product and infrastructure teams to improve the reliability of deployments and upgrades. You will have co-responsibility for builds and deployments via our public supabase/postgres GitHub repository, which bundles features into Docker images and AWS AMIs for cloud and local use. What You’ll Be Responsible For Package software into our supabase/postgres repo using Nix (with flakes), and help us transition our packaging from traditional to Nix packaging more over time. Manage PostgreSQL lifecycles, ensuring timely major, minor, and extension upgrades. Expand platform release systems to allow developers to increasingly self-service. Optimize CI/CD and tooling, specifically expanding GitHub Actions, team tooling, and testing/release approaches. Resolve production issues by proactively identifying and fixing problems in customer deployments. Maintain best practices and tests to ensure enhanced stability and decreased deployment risks. You Might Be a Good Fit If You Have 3+ years of experience with PostgreSQL and its ecosystem, including extensions and performance optimization. Are an Infrastructure Expert with proven experience in management, tooling, and optimization. Are p

javascriptjavasql
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Ramp
📍 New York• Full-time• From $10K/yr
1mo ago

About Ramp Ramp is building the smart infrastructure for finance teams, embedded in the transaction flow of every dollar a business spends. We automate how over $200B in annualized spend flows in and out of 70,000+ companies: authorizing payments, flagging risk, categorizing spend, and closing books. The problems are high-stakes, data-dense, and unforgiving. We hire people with high agency and high urgency. We look for slope over intercept. We care less about where you trained and more about what you’ve built. At Ramp, everyone is a builder who owns problems end to end and makes consequential decisions that shape the outcome. The median Ramp customer saves 5% and grows revenue 16% in their first year – far in excess of businesses operating without Ramp. We believe every ambitious company deserves the same. If you want to build systems that directly shape how companies move and manage billions, Ramp is the place to do it. About the Role As a software engineer on the AI Soltuions team, you will co-lead customer engagements with an AI Solutions Strategist . The Strategist owns business discovery, ROI narrative, stakeholder alignment, and rollout planning. The engineer owns technical discovery, solution design, prototyping, implementation, and production readiness. This is a deeply client-facing role. You will spend significant time with customers and end users, moving projects from bootcamp and workflow discovery through implementation, launch, and steady production usage. What You’ll Do Translate customer goals into clear system requirements and non-functional requirements covering security, privacy, reliability, performance, scalability, and cost. Partner directly with customers to understand current workflows, constraints, systems, data quality, and adoption blockers. Create and maintain solution architecture artifacts: System context and data flow diagrams Integration plan across Ramp and customer systems Security model covering permissions, access patterns, and au

javascripttypescriptpython
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