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Senior Infrastructure Software Engineer Jobs

10,000 active opportunities · Updated for October 2026

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

A
Asana
📍 New York• Full-time• $202K – $230K/yr
4mo ago

We're looking for a Senior Software Engineer to integrate and improve our AI developer experience so that engineers at Asana can use AI to increase their velocity. As part of the AI Developer Productivity team, you'll build the next generation of AI-powered developer tools across editors, IDEs, CLIs, code review, and cloud and local coding agents.This role is based in our New York City office with an office-centric hybrid schedule. The standard in-office days are Monday, Tuesday, and Thursday. Most Asanas have the option to work from home on Wednesdays. Working from home on Fridays depends on the type of work you do and the teams with which you partner. If you're interviewing for this role, your recruiter will share more about the in-office requirements. What you’ll achieve Design and build AI-augmented workflows and systems that help coding agents understand the codebase, follow engineering practices, and enable Asana engineers to complete software development tasks faster and with more confidence. Design and scale autonomous cloud agents that take on complex, multi-step engineering tasks to reduce toil and enable engineers to focus on higher-leverage work. Build and refine IDE, editor, and CLI integrations that make AI-assisted development feel intuitive in engineers' daily work. Create reusable agent skills, tools, context, and integrations that teams across Asana can build on rather than reinvent. Improve AI-assisted code review workflows so engineers get faster, higher-quality feedback before and during review. Drive adoption of AI developer tools across engineering through usability improvements, measurement, documentation, and enablement. About you 5+ years of working in large codebases Experience building developer tools, internal platforms, infrastructure, IDE/editor integrations, CLIs, or workflow automation. Hands-on experience with AI-assisted development tools (such as Cursor, Claude Code, or Codex), or extending coding agents, MCP-based int

restaigo
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R
4mo ago

Reddit is a community of communities. It’s built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet. Every day, Reddit users submit, vote, and comment on the topics they care most about. With 100,000+ active communities and approximately 130 million daily active unique visitors, Reddit is one of the internet’s largest sources of information. For more information, visit www.redditinc.com . Reddit has a flexible workforce! If you happen to live close to one of our physical office locations our doors are open for you to come into the office as often as you'd like. Don't live near one of our offices? No worries: You can apply to work remotely in any country in which we have a physical presence About the Job The Deployment Infrastructure team is hiring a Senior Full Stack Software Engineer to lead the design, development, and evolution of the web UI for our build and deployment platform. In this role, you’ll craft a cohesive, intuitive user experience that enables engineers across Reddit to build, test, and ship software safely and confidently to a globally distributed cloud ecosystem. Our team owns continuous integration, continuous deployment, and the underlying systems that power build and deployment workflows. We’re looking for an engineer who operates at the intersection of frontend engineering, distributed systems and infrastructure, and developer experience. In your day-to-day, you can expect to: Design, build, and ship high-quality features across the stack, with a focus on creating reusable, maintainable UI components and polished frontends that scale with the platform Contribute to backend systems to deliver cohesive, end-to-end product experiences Define and enforce clean API boundaries between frontend and backend systems Collaborate with teammates to build a platform that supports: Orchestrating complex deployment workflows Progressive rollouts across clusters and regions Automated rollback of fa

REMOTEreactawsgcp
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Secure Every Identity, from AI to Human Identity is the key to unlocking the potential of AI. Okta secures AI by building the trusted, neutral infrastructure that enables organizations to safely embrace this new era. This work requires a relentless drive to solve complex challenges with real-world stakes. We are looking for builders and owners who operate with speed and urgency and execute with excellence. This is an opportunity to do career-defining work. We're all in on this mission. If you are too, let's talk. We are seeking an experienced and technically influential Senior Software Development Engineer to join our Cloud Tooling and Pipelines team. This pivotal team is responsible for the design, development, and maintenance of our core Continuous Delivery (CD) platform (leveraging Spinnaker and custom tooling), Infrastructure as Code (IaC) execution engines (primarily Terraform), and a suite of supporting microservices. These systems are critical for enabling and managing our extensive resource footprint across AWS ECS and EKS. As a Senior Software Development Engineer, you will be a key contributor, driving the implementation of scalable, reliable, and secure software solutions that automate infrastructure provisioning and application deployments. Your deep expertise in software engineering principles and cloud-native development will be essential in building and enhancing our critical tooling for infrastructure provisioning, vulnerability management, and IaC deployments. You will also play a vital role in mentoring other engineers and influencing the team's technical roadmap. If you have a strong passion for building robust software systems that empower operational efficiency at scale, we encourage you to apply. Key Responsibilities Design and Develop Core Platform Components: Lead the design and development of scalable and reliable microservices and tools that form the backbone of Okta's Continuous Delivery (CD) platform (including components for Spinna

pythonjavamysql
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O
Okta
📍 Bengaluru• Full-time
8mo ago

Secure Every Identity, from AI to Human Identity is the key to unlocking the potential of AI. Okta secures AI by building the trusted, neutral infrastructure that enables organizations to safely embrace this new era. This work requires a relentless drive to solve complex challenges with real-world stakes. We are looking for builders and owners who operate with speed and urgency and execute with excellence. This is an opportunity to do career-defining work. We're all in on this mission. If you are too, let's talk. Datastores Engineer, Platform Infrastructure The Auth0 platform secures more than 100 million logins each day for customers all around the world - and we're growing fast! The Platform Infrastructure team enables Auth0 engineers to move faster by giving them tools to easily deploy and manage their services on AWS and Azure. This is a role with a huge impact. You will get to work with engineers throughout the organization and what you build will be a foundational piece of the infrastructure that allows Auth0 to scale for years to come. We are looking for Engineer who are passionate about distributed systems, availability, and delivering customer value to join our Platform Infrastructure Datastores team. Because we build and support the overall Auth0 platform, the ideal candidate is someone who is passionate about infrastructure, operations, databases and not intimidated by cross-organization coordination and collaboration. You will: Develop our large, distributed and highly-available infrastructure. Implement platform tools that allow feature teams to deploy and manage the datastores for their services. Research new technologies to accelerate new environment creation. Carry cross team initiatives from end to end: code reviews, design reviews, operational robustness, security hygiene, etc. Participate in the team's on-call rotation. You might be a good fit if you: Have 5-8 years of platform / infrastructure engineering experience. Are proficient in

postgresqlmongodbredis
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R
Reddit
📍 United States• Remote• $217K – $303.9K/yr
9mo ago

Reddit is a community of communities. It’s built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet. Every day, Reddit users submit, vote, and comment on the topics they care most about. With 100,000+ active communities and approximately 130 million daily active unique visitors, Reddit is one of the internet’s largest sources of information. For more information, visit www.redditinc.com . The Storage Infra team is looking to hire a Senior Software Engineer who is excited to solve large scale storage infrastructure problems. Reddit’s mission is to bring community and belonging to everyone in the world. Reddit is a community of communities where people can dive into anything through experiences built around their interests, hobbies, and passions. With more than 50 million people visiting 100,000+ communities daily, it is home to the most open and authentic conversations on the internet. From pets to parenting, skincare to stocks, there’s a community for everybody on Reddit. For more information, visit redditinc.com. Our caching layer serves 100s of millions of queries/second serving 100s of billions of keys.We do this while efficiently storing 100s of Terabytes of data across thousands of machines. As a senior engineer, you will partner closely with your team and our biggest users (ML/AI/Search) to build technical solutions that can scale to Reddit’s product growth. You’ll do this while maintaining an extremely high availability and reliability bar to ensure that Reddit’s users continue to get a great experience across our entire product portfolio. In your day-to-day, you can expect to: Contribute to developing the team and organization’s long term technical strategy. Refine and maintain our data storage infrastructure to support the storage and caching needs of products supporting hundreds of millions of users. Own the infrastructure (managed and self-hosted) that supports data writes, reads and storage a

REMOTEpythonjavapostgresql
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NI
28 days ago

Curious Minds. Bold Ideas. Extraordinary Impact . We're transforming financial services through bold innovation and relentless execution. You bring the ideas and drive. We'll build what's next — together. As a Senior Platform Engineer in Cloud Infrastructure, you'll help us continue to define infrastructure as code in AWS CDK, operating core services and making the architectural calls that balance scale, reliability, security and cost. You'll partner with application teams to turn what they need into capabilities they can move quickly with, lead proof-of-concepts on new services, and mentor engineers who will learn their craft from you. Your fingerprints will be on how nCino builds for years to come. Responsibilities Design, build, and maintain AWS infrastructure using Infrastructure as Code tools (AWS CDK, or similar), ensuring consistency, repeatability, and version control. Own and operate core AWS services including compute (ECS, Lambda), databases (RDS, DynamoDB), container orchestration (EKS/Kubernetes), and serverless technologies. Own and operate various ingress and edge architectures including, AWS WAF, AWS CloudFront, load balancers, DNS, TLS Certificates at scale. Collaborate directly with application development teams to understand their infrastructure needs and enable them with scalable, reliable platform capabilities. Provide architectural guidance and technical leadership on infrastructure design decisions, considering scalability, reliability, security, and cost-effectiveness. Implement and maintain security best practices across AWS infrastructure, including IAM policies, network security, encryption, and access controls support compliance efforts like SOC2, and PCI. Build and optimize CI/CD pipelines and deployment automation to enable efficient and safe software delivery and familiarity with Gitlab CI and Argo CD is desirable. Monitor, analyze, and optimize cloud costs, identifying opportunities for cost reduction while maintaining performance and

awskubernetesrecruitment
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T
Toast
📍 United States• Remote• $159K – $254K/yr
1mo ago

Toast creates technology to help restaurants and local businesses succeed in a digital world, helping business owners operate, increase sales, engage customers, and keep employees happy. The mission of the Release Engineering team is “to empower Toasters to build and deploy software with speed, confidence, and joy.” We create digital assembly lines that transform code into polished products. We build scalable, secure, and automated release pipelines that turbocharge our software delivery and ensure compliance and reliability from first commit to production deployment. We are looking for a software engineer to join in our mission! A day in the life (Responsibilities) Be part of a team working collaboratively to optimize build and deployment automation tools for developers Create and implement CI/CD solutions that ensure release quality and security Lead complex projects with multiple contributors and stakeholders Participate in team on-call rotation to respond to production alerts for the team’s systems Mentor and coach other team members Promote technical excellence What you'll need to thrive (Requirements) 5+ years of software engineering experience Proficiency in Go, Java/Kotlin or other modern language(s) with a strong understanding of testing, quality and best practices Ability to dive into a breadth of problems in various programming languages Passion for improving the software delivery process and making developers happy Hunger for leveraging AI tools efficiently for our team and our customers Agile mindset focused on delivering usable software Special Sauce* Experience with managing AWS/Cloud infrastructure Experience building CI/CD solutions Our Tech Stack A core of Java/Kotlin and Golang based backend services GitHub Actions workflow platform and custom actions written in TypeScript PostgresQL and DynamoDB as core persistence Backstage developer portal Deep AWS integrations and componentry Claude Code and similar AI development tools

REMOTEtypescriptjavapostgresql
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R
Roblox
📍 San Mateo• Full-time• $243.3K – $295.3K/yr
10mo 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 member of the Infrastructure Foundation Hardware Engineering team, you will play a key role in enabling our mission to deliver a reliable, high-performing, and cost-efficient infrastructure that powers the world’s play. In this specialized role, you will be the technical lead for our GPU and AI accelerator ecosystem. You will be responsible for the full lifecycle of GPU hardware, from initial architectural evaluation and firmware qualification to large-scale fleet integration and performance tuning. You will ensure that Roblox’s massive-scale rendering and ML workloads run on the most optimized and stable hardware possible. You Will: Architect & Prototype: Prototype next-generation GPU-accelerated hardware platforms, ensuring seamless integration between high-density compute nodes, high-speed interconnects (NVLink/PCIe Gen5/6), and system firmware. GPU Optimization: Drive the integration, performance testing, and debugging of GPUs in our fleet, focusing specifically on hardware-level optimizations, driver tuning, and thermal/power management. Validation & Certification: Develop and execute rigorous evaluation and stress-testing strategies for GPU-heavy server platforms to ensur

pythonlinuxai
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Omada Health is on a mission to bend the curve of chronic disease. Job overview: We are seeking a Senior Software Engineer to help design, build, and scale modern data platform capabilities using cloud-native technologies and AI-driven solutions. In this role, you will develop reusable frameworks, platform services, and engineering patterns that enable teams to build reliable, scalable data-products and AI-powered workflows. You will also leverage Generative AI to enhance data discovery, governance, developer productivity, and self-service access to trusted data. Working closely with cross-functional teams, you will help shape a modern data platform that accelerates innovation while ensuring security, reliability, and operational excellence. Your Impact: Design, build, and operate scalable Data & AI platform capabilities for analytics, data science, and Generative AI use cases with strong practices around data quality, lineage, observability, security, and governance. Develop reusable abstractions, templates, services, and workflows that standardize how teams build and manage data pipelines and data products. Partner with Analytics, Applied-AI, Data-engineering and application teams to deliver platform capabilities that support business and clinical decision-making Evaluate and integrate modern data and AI technologies with a focus on scalability, reliability, developer experience, and cost efficiency Apply Generative AI technologies to improve data enablement, documentation, discovery, workflow automation, and platform usability Promote software engineering best practices, including clean code, automated testing, CI/CD, infrastructure-as-code, monitoring, and secure data handling About you: 5+ years of professional software engineering or data engineering experience building scalable data platforms, services, pipelines, or analytics infrastructure Hands-on experience with modern data architectures, including data lakes, lakehouses, warehouses, analytical datast

REMOTEpythonsqlkubernetes
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O
Okta
📍 San Francisco• Full-time• From $232K/yr
6mo ago

Secure Every Identity, from AI to Human Identity is the key to unlocking the potential of AI. Okta secures AI by building the trusted, neutral infrastructure that enables organizations to safely embrace this new era. This work requires a relentless drive to solve complex challenges with real-world stakes. We are looking for builders and owners who operate with speed and urgency and execute with excellence. This is an opportunity to do career-defining work. We're all in on this mission. If you are too, let's talk. The Core Engineering Team Okta powers authentication and authorization for thousands of organizations worldwide. We make access to applications safe, secure, and seamless for billions of logins worldwide. Within Okta, the Core team builds software and frameworks and works with infrastructure teams to deliver 99.99% uptime for our core authentication and authorization products. The Software Engineering Manager Opportunity Okta's Core Engineering team is responsible for building and evolving shared infrastructure and services that lay the foundation for what other engineering teams build on. We're in charge of common shared services like search, cache, configuration management, frameworks for async job management, and email pipeline, to name a few. We're cloud native, where redundancy, multi-tenancy, scale, resource optimization, and resiliency are first-class citizens. With Okta's mantra of 'Always On!' there's never a dull moment. Our biggest asset is our team of passionate engineers and technically minded managers. What You’ll Be Doing Manage a distributed team, including setting expectations and removing blockers, creating a collaborative working environment, hiring and recruitment, providing coaching and career management discussions Collaborate with managers, architects, product owners, project managers, test partners, security and operations engineers to implement best practices related to resilience Communicate and organize cross-team projects with hi

javasqlaws
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P
2mo ago

About Pinecone Pinecone is the knowledge infrastructure for AI at scale. Its leading vector database and knowledge engine, Pinecone Nexus, power accurate, performant AI applications for more than 9,000 customers and 800,000 developers worldwide. Pinecone's mission is to make AI knowledgeable. Pinecone is based in New York and raised $138M in funding from Andreessen Horowitz, ICONIQ, Menlo Ventures, and Wing Venture Capital. About the Team and Role: The Experience team is at the center of one of the most exciting transitions in software development history — the shift from human-driven to agent-driven product experiences. We own Pinecone's API, clients, authentication, revenue, and observability systems, and right now that means redesigning all of it for a world where AI agents are first-class users alongside humans. This is a wide-scope role. You'll own things end-to-end — from backend architecture to API design to SDK and web surfaces. You’ll be working closely with product, design, and other engineering teams to identify user needs and build the right thing, at the right abstraction level, at the right time. Along the way, you will be building high-leverage platform capabilities that accelerate Pinecone’s product development and user growth systems. We're looking for an engineer who sees this moment for what it is: a rare opportunity to shape how developers and agents interact with a category-defining product. You're not waiting to see how the industry figures out MCP, agentic workflows, and AI-native interfaces — you're already experimenting, already forming opinions, already building. You know that speed and leverage matter more than labor, and you've internalized AI-assisted development not as a productivity trick but as a fundamentally different way of working. Responsibilities: Pioneer our agent experience. Shape how AI agents interact with Pinecone — designing interfaces, protocols (MCP), and tooling that make Pinecone the easiest and most capable platform f

javareactaws
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P
7mo ago

About Pinecone Pinecone is the knowledge infrastructure for AI at scale. Its leading vector database and knowledge engine, Pinecone Nexus, power accurate, performant AI applications for more than 9,000 customers and 800,000 developers worldwide. Pinecone's mission is to make AI knowledgeable. Pinecone is based in New York and raised $138M in funding from Andreessen Horowitz, ICONIQ, Menlo Ventures, and Wing Venture Capital. About the Team and Role: The Experience team is at the center of one of the most exciting transitions in software development history — the shift from human-driven to agent-driven product experiences. We own Pinecone's API, clients, authentication, revenue, and observability systems, and right now that means redesigning all of it for a world where AI agents are first-class users alongside humans. This is a wide-scope role. You'll own things end-to-end — from backend architecture to API design to SDK and web surfaces. You’ll be working closely with product, design, and other engineering teams to identify user needs and build the right thing, at the right abstraction level, at the right time. Along the way, you will be building high-leverage platform capabilities that accelerate Pinecone’s product development and user growth systems. We're looking for an engineer who sees this moment for what it is: a rare opportunity to shape how developers and agents interact with a category-defining product. You're not waiting to see how the industry figures out MCP, agentic workflows, and AI-native interfaces — you're already experimenting, already forming opinions, already building. You know that speed and leverage matter more than labor, and you've internalized AI-assisted development not as a productivity trick but as a fundamentally different way of working. Responsibilities: Pioneer our agent experience. Shape how AI agents interact with Pinecone — designing interfaces, protocols (MCP), and tooling that make Pinecone the easiest and most capable platform f

javareactaws
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About Snorkel Snorkel AI is the frontier AI data lab, helping teams build the data and environments behind high-performing frontier and agentic AI. We combine technology with research-driven AI data development to create datasets, benchmarks, evals, and custom solutions for real-world AI systems. Founded out of the Stanford AI Lab in 2019, Snorkel works with leading AI labs and enterprises to move from better data to better outcomes. Excited to help us redefine how AI is built? Apply to be the newest Snorkeler! About The Team Snorkel's AI Platform organization builds the infrastructure and systems that power AI development at scale - synthetic data generation, evaluation, agentic workflows, simulation environments, LLM infrastructure, and distributed compute. Our platform enables engineering and research teams to rapidly experiment with models and agents, measure their behavior, and turn successful experiments into reliable production systems. We're a small team operating at the intersection of distributed systems and applied AI, and we're in the middle of a foundational shift toward agent-first workflows where models interact with tools, environments, data, and other agents over long-running trajectories. The systems we build need to make these inherently non-deterministic workloads observable, reproducible, measurable, and scalable. You will help define how we do that. About The Role We're looking for Software Engineers at Senior / Staff levels who combine strong software and distributed systems fundamentals with experience operating AI systems in production. You'll build the infrastructure that lets teams create, experiment with, evaluate, and operate LLM and agentic workloads at significant scale - from synthetic data and evaluation pipelines to simulation environments, orchestration systems, and LLM infrastructure. You'll work on systems where correctness is not defined by a single deterministic output. Instead, you'll build the infrastructure neede

pythonawskubernetes
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Position Overview We are looking for a Senior Software Engineer to join the Aura AI Platform team. You will design, build, and operate the infrastructure that runs customer workloads (Notebooks, Jobs, Apps, AI Agents, and Model-serving) on top of SingleStore, across multiple regions and clouds. You will work on services that manage container pools, resource scaling, routing, RBAC, Billing, Observability and secure network access between clusters. This role is ideal for engineers who enjoy building distributed platforms, owning production systems, and enabling real-time AI and data applications at scale. What you'll do: Design, build and maintain the platform that powers internal and customer‑facing intelligent services on SingleStore Lead complex, cross-functional technical initiatives from conception to deployment, mentoring other engineers along the way Work closely with product managers, designers, customers, and other engineers to ensure we deliver a high-quality experience Drive the team's engineering standards, championing best practices in system design, code quality, testing, observability, and CI/CD pipelines to ensure we scale reliably. Share on-call responsibilities and proactively improve the reliability, security, and cost-efficiency of our cloud infrastructure. Your Experience: 4+ years of experience working on a SaaS product Experience with working on distributed systems, ideally in programming languages such as Golang, Python or Rust Experience working with Kubernetes and/or containerized services Intellectual curiosity about investigating issues that impact business metrics Passion for building high-quality products that are robust and easy to maintain in a fast-paced, team-oriented environment Strong communication skills with a passion for mentoring peers, fostering a collaborative team culture, and executing efficiently in a fast-paced environment. Bachelor’s degree in Computer Science or equivalent practical experience. Preferred Qualifications:

pythonreactsql
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Who we are About Stripe Stripe is a financial infrastructure platform for businesses. Millions of companies—from the world's largest enterprises to the most ambitious startups—use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone's reach while doing the most important work of your career. About the team The Merchant Experience team builds the UI operating system and core experiences that power decades of growth for millions of businesses globally, enabling Stripe to be the business SaaS solution of choice for next-gen companies. We own the foundational platforms and product surfaces that merchants interact with every day - from the Stripe Dashboard to the frameworks and tooling that hundreds of Stripe engineers use to build world-class user interfaces. We're at an inflection point. AI is fundamentally changing how users interact with software, and we believe Stripe is uniquely positioned to reimagine what a merchant experience looks like in an AI-native world. At the same time, we're raising the bar on the quality and performance of everything we ship - because the millions of businesses that depend on Stripe deserve an experience that is fast, reliable, and crafted with care. What you'll do As a Senior Staff Engineer on the Merchant Experience team, you'll be a technical leader across 50+ Engineers responsible for shaping the next generation of how Stripe merchants interact with our products. You'll drive a step-function improvement in the quality and performance of our core surfaces, and help define what AI-powered merchant experiences look like at Stripe. Responsibilities Define technical strategy for merchant-facing experiences across Stripe, with a focus on quality, performance, and the integration of AI into core user workflows Lead t

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