Jobs in United States

Lead Software Engineer Infrastructure in United States

2,434 active opportunities · Updated October 2026

Explore current lead software engineer infrastructure jobs across United States. Filter by work mode, employment type, experience, department, date posted and distance.

Hiring demand

51/100

steady · 543 related jobs

Hiring trend

-76.6%

Job postings compared with the previous 30 days

Remote options

15.1%

Share of matching jobs listed as remote

Typical salary

$177.2K – $177.2K/yr

Based on 29 salary observations

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📍 San Francisco, California, United States· Full-time· Remote
✓ High-confidence listingDemand 51/100Company trend -86%

$177.2K – $208.6K/yr · Jobiba est.

Quick readStrong listing-quality and freshness signals

Who We Are Notion is the collaborative AI workspace where teams and agents think together . We're building one place where your knowledge, projects, meetings, and AI tools live side by side, so work is faster, clearer, and less fragmented. Millions of individuals, small teams, and large companies run their work on Notion. Notinos (our employees) are customer zero in bringing this future of work to life. We care about craft, building things that last, and the belief that great work is still fundamentally human. Our goal isn’t to ship the next feature. Each and every team of Notinos is working to set the standard for how humans work together in the AI era. From building a business’s system of record to making and managing AI agents to automating away the busy work, we care deeply about giving our customers more time for their life’s work. About the Role: Notion’s Data Foundations team builds and operates the batch and streaming infrastructure behind our product features, analytics, search, and AI experiences. We’re looking for a hands-on technical leader to shape the next generation of this platform as Notion serves larger customers, expands globally, and supports more data-intensive products. You’ll identify the highest-leverage problems, set direction, build and develop a high-performing team, and lead multi-quarter initiatives across our data lake, streaming, distributed-compute, governance, and reliability systems. You’ll stay close to critical technical decisions while creating clear ownership, growing engineers and technical leaders, and helping the team execute as one—partnering closely with Data Engineering, Data Product, Search, AI, Infrastructure, and Security. This role can be based in either San Francisco or New York City. We work from our offices on Mondays, Tuesdays and Thursdays (our Anchor Days) because we do our best thinking and building together in person. We’re looking for someone who’s excited to work alongside the team during those days. What You

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📍 New York City, NY, United States· Full-time
✓ High-confidence listingBelow typical payDemand 51/100Company trend -99.2%

From $10K/yr

Quick readStrong listing-quality and freshness signals

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 Production Engineering Production Engineering is Ramp's infrastructure ownership layer. We exist to make Ramp faster, more reliable, and more scalable — and we do that by being embedded in the problems, not adjacent to them. A few things that define how we operate: One team, one company, one objective. There is no "infra team" and "product team" — there is Ramp. We share the company's goals as our own. When a product team struggles with reliability or scalability, that is our struggle. If reliability or scalability is at risk, we own it. We don't wait to be invited, and we don't ask whose code it is. If a system is slow, if it breaks, if it won't scale — that's ours to lead, regardless of where it lives in the stack. We go first, and we go fast. When the path isn't obvious, we don't wait for someone else to find it. We move with urgency, propose the solution, align the stakeholders, and stay in until it's done — not until our ticket is closed. We lead the way. We find the next problem before it finds us. And when we solve it, we don't just fix

AWSCI/CDRestAI
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📍 New York City, NY, United States· Full-time
✓ High-confidence listingBelow typical payDemand 51/100Company trend -99.2%

From $10K/yr

Quick readStrong listing-quality and freshness signals

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

JavaScriptTypeScriptPythonJava
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📍 New York City, NY, United States· Full-time
✓ High-confidence listingBelow typical payDemand 51/100Company trend -99.2%

From $10K/yr

Quick readStrong listing-quality and freshness signals

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 Ramp's Dev API team builds the programmatic surfaces that let developers and AI agents read from and write to Ramp. We are an AI-focused platform team making it trivially easy for any engineer at Ramp (or outside it) to ship new capabilities across all surfaces. Our ideal candidate thinks agent-first, has strong opinions on developer experience, and wants to define how software interacts with financial infrastructure at scale. Check out our Engineering Blog for more on our tech stack, mission, and values! What You'll Do Build and operate Ramp's multi-surface platform with a high bar for reliability, correctness, and developer experience across tens of thousands of businesses. Serve thousands of builders and partners using our API, driving a large fraction of Ramp’s revenue, and deliver on a massive business opportunity to embed Ramp everywhere. Build software factories -- autonomous tooling and agents that accelerate endpoint creation, enabling teams across Ramp to ship their own API surfaces. Lead design and execution of complex back

PythonRestAIGo
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📍 New York City, NY, United States· Full-time
✓ High-confidence listingBelow typical payDemand 51/100Company trend -99.2%

From $10K/yr

Quick readStrong listing-quality and freshness signals

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 Our ideal candidate has a deep understanding of JavaScript, a passion for web performance, and can creatively come up with solutions to solve customer's needs. Our tech stack currently involves TypeScript, React, Vite, and Ryu, our in-house design system. Check out our Engineering Blog for more on our tech stack, mission and values! What You’ll Do Build! Design performant, beautiful, and usable interfaces Collaborate on our technical vision. Lead discussions and implementation of multiple complex projects Foster a culture of upholding industry-leading UX Continuously improve our engineering processes, tools, and systems that allow us to scale the code base, productivity, and the team Recruit, interview and develop your own interview questions, while fostering the culture of excellence, velocity and humility Inspire and mentor less experienced engineers and interns What You'll Need Minimum of 2 years of frontend engineering experience preferred Proficiency in JavaScript and React Knack for getting the visuals right Track record of ship

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📍 San Francisco, California, United States· Full-time
✓ High-confidence listingCompany trend -72.4%

$155K – $400K/yr

Quick readStrong listing-quality and freshness signals

About Sentry Software runs the world and the pace is faster than ever. Sentry helps developers fix errors and performance issues before users notice, so teams can spend less time firefighting and more time building. Trusted by 200,000+ organizations, Sentry is today’s application monitoring standard and our team is building its AI-native future. About the role The Events Analytics Platform (EAP) team is responsible for the infrastructure that powers all of Sentry's time-series data and searching capabilities across billions of events with sub-second latency. We started this initiative by building Snuba, the primary storage and query service for Sentry's event data powered by ClickHouse, and we are now focused on unlocking deeper visibility and reporting across the terabytes of event data our users generate. As a Senior Software Engineer, you will lead efforts to push the boundaries of data visibility at Sentry. You will do this by expanding the capabilities of our search infrastructure, building new capabilities on top of our state-of-the-art storage layer and increasing the performance and integrity of Sentry’s core data services. You will also help shape Infrastructure's technical direction at Sentry and collaborate with Product and other Engineering teams to turn that vision into a reality. If you want to solve the hard problems that come with scaling event data into the petabyte range, this could be the job for you. In this role you will: Expand EAP's ability to deliver data at world-class speed and reliability. Architect and automate services and systems to scale reliably under growing demand. Make architectural trade-offs that balance product requirements with engineering constraints. Maintain and grow the team's code quality initiatives by regularly reviewing code and contributing to design decisions. Lead design and discussions around deliverables the team is working towards. Improve the maintainability and developer experience of the codebases EAP owns. Exa

PythonSQLPostgreSQLRedis
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📍 New York, NY, United States· Full-time
✓ High-confidence listingCompany trend -84.4%

$190.4K – $285.6K/yr

Quick readStrong listing-quality and freshness signals

Who we are About Stripe Stripe, LLC. 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. What you’ll do Responsibilities Lead the technical design and architecture of major platform initiatives, author design documents and build consensus across engineering teams. Define technical roadmaps for complex, multi-quarter projects that span multiple teams. Make critical architectural decisions for company documentation infrastructure, balancing scalability, reliability, and developer experience. Evaluate and set direction for integrating emerging technologies, including AI/LLM capabilities, into company documentation platforms and authoring tools. Establish and evolve engineering standards, best practices and technical guidelines for the team and broader organization. Partner with engineering teams across the company to understand documentation needs and design integrated solutions. Design, build and maintain scalable, reliable and performant services and systems. Contribute high-quality code across the full stack and navigate codebases with different languages and tools. Debug and resolve complex production issues and improve system reliability. Take ownership of system health and incident response. Who you are Minimum requirements Must have a Bachelor's degree or foreign equivalent in Computer Science, Software Engineering, Engineering, or a related field, plus four (4) years of experience in Software Engineering. Must have four (4) years of experience in each of the following: - Working in a full stack environment with a foc

TypeScriptJavaMongoDBAI
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📍 San Francisco, California, United States· Full-time
✓ Quality checkedDemand 51/100Company trend -79.2%

$177.2K – $208.6K/yr · Jobiba est.

About the Team API Enterprise Controls is part of the API Infrastructure organization and owns the platform capabilities that help developers, startups, and enterprises adopt the OpenAI API securely and confidently. We build the systems underneath our APIs and developer platform across authentication and identity, service accounts and key management, secure networking, compliance, auditability, observability, and operational controls. Our users are developers and teams running critical applications on OpenAI, and we partner closely with Product, go-to-market, security, and infrastructure teams to turn their most important needs into reliable, intuitive platform capabilities. About the Role We are looking for an exceptional backend software engineer to help define and ship the enterprise capabilities our API Platform needs to scale.; this is a product-engineering role grounded in deep backend systems. You will work across databases, streaming systems, request routing, authentication, and developer-facing APIs while bringing strong product judgment, developer empathy, and attention to the small details that make a platform easier to understand, trust, and operate. You will lead large cross-functional initiatives, work closely with Product and go-to-market teams, engage directly with sophisticated users, and carry ambiguous needs from discovery through design, launch, and iteration. In this role, you will: Own backend product capabilities end to end across authentication and identity, service accounts and key controls, secure networking, compliance, observability, and operational workflows. Partner with Product, go-to-market, security, infrastructure teams, and sophisticated customers to identify needs, shape the roadmap, and lead large cross-functional projects from design through launch. Design developer-facing APIs, system behavior, configuration, error handling, safe defaults, auditing, and notifications with exceptional care for the details that define a great dev

TypeScriptPythonAWSRest
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📍 Foster City, California, United States· Full-time
✓ Quality checkedDemand 51/100Company trend -85.9%

$177.2K – $208.6K/yr · Jobiba est.

Replit is the agentic software creation platform that enables anyone to build applications using natural language. With millions of users worldwide, Replit is democratizing software development by removing traditional barriers to application creation. About the role: As a Staff Product Engineer at Replit, you’ll work closely with other product and platform engineers, designers, sales representative, and product managers to build features that help users collaborate with their team to go from idea to software fast. You’ll be at the forefront of shaping and experimenting on what our tens of millions of users love. You will: Help lead major projects and take new products from 0->1 Identify the hardest technical and/or quality problems holding us back, and then build solutions Chart high level technical direction and follow up to make sure those projects come together to deliver on results Mentor and develop new senior engineers to help grow the team Ship new features and build infrastructure using: TypeScript, React, CSS, GraphQL, Node.js, and Postgres Required skills and experience: A minimum of 7 years of professional software development experience Experience in a technical leadership role, working cross functionally Working experience building full stack applications with TypeScript Working experience building directly for users Bonus Points : You’re excited about the future of programming and have experience working with IDEs, terminals, or other common developer tools You’ve had previous experience working at a startup in a cross-functional engineering role This is a full-time role that can be held from our Foster City, CA office. The hybrid role has an in-office requirement of Monday, Wednesday, and Friday. Full-Time Employee Benefits Include: 💰 Competitive Salary & Equity 💹 401(k) Program with a 4% match ( US Only ) ⚕️ Health, Dental, Vision and Life Insurance 🩼 Short Term and Long Term Disability 🚼 Paid Parental, Medical, Caregiver Leave 🏝 Flexible

TypeScriptReactNode.jsGraphql
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📍 San Mateo, CA, United States· Full-time
✓ High-confidence listingTop 10% payDemand 51/100Company trend -100%

From $345K/yr

Quick readTop 10% pay versus similar roles

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. We are seeking a visionary Principal Software Engineer to join our Compute organization and provide technical leadership for our Kubernetes infrastructure. You will drive the evolution of a platform that powers our global scale operations, transforming Kubernetes into a secure, reliable, and invisible foundation for our developers across our on-prem and public cloud fleet. Your mission is to balance cutting-edge innovation with rigorous platform stability, ensuring that internal and external customers have a seamless, high-performance experience at massive scale. You Will: Architectural Leadership: Serve as a technical lead for our Kubernetes ecosystem, setting the long-term architectural strategy for a platform that manages thousands of nodes and supports millions of concurrent requests. Customer Focus: Think deeply about how our internal customers consume and interact with compute, designing intuitive interfaces and tooling that simplify consumption of complex infrastructure services. Deep-Dive Engineering: Leverage deep expertise in Kubernetes internals, including custom controllers, operators, API server architecture, and etcd, to solve complex scaling bottlenecks and optimize our contr

AWSKubernetesGitMicroservices
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📍 San Mateo, CA, United States· Full-time
✓ High-confidence listingCompany trend -100%

From $243.3K/yr

Quick readStrong listing-quality and freshness signals

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. Roblox's Cache team is building a next-generation caching solution designed to deliver sub-millisecond average latency, horizontal scalability, and high efficiency—all at a drastically lower cost. Our ultimate vision is to shape a caching infrastructure capable of supporting 1 billion Daily Active Users while reducing costs by 90%. We are turning hours of onboarding and capacity expansion into seconds, freeing service owners entirely from managing cluster lifecycles. As a Senior Engineer on the Cache team (part of the Infra Storage org), you will innovate and operate large-scale, in-house distributed systems to solve Roblox's ever-growing caching challenges. You will report directly to the Engineering Manager for the Cache team. (Check out our recent engineering blog post here to learn more about the team's latest work!) You will: Lead the architectural transition to a next-generation, multitenant caching service built on ValKey, ensuring strict data, resource, and failure isolation for all tenants. Drive systemic optimizations to mitigate head-of-line blocking, manage hot keys, and maximize CPU and memory utilization across physical machine clusters. Design and build robust frameworks to a

RedisAWSKubernetesGit
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📍 New York, New York, United States· Full-time
✓ High-confidence listingTop 25% payDemand 51/100Company trend -83.5%

From $244K/yr

Quick readTop 25% pay versus similar roles

Role Summary: Datadog is seeking a Staff Software Engineer to help shape the future of our Bring Your Own Cloud (BYOC) Logs offering by unifying observability pipelines with log management software that customers deploy and manage in their own infrastructure. This role will focus on building and scaling systems that process, route, and store high-volume observability data within customer-managed infrastructure. You will operate as a hands-on technical leader, driving architecture, cross-team delivery, and product direction across a complex and evolving space. This is a high-impact opportunity to influence product strategy, mentor engineers, and solve deeply technical challenges at scale. At Datadog, we place value in our office culture - the relationships and collaboration it builds and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them. What You’ll Do: Make customer-controlled deployments feel like a managed Datadog product: deployment, upgrades, configuration, observability, diagnostics, reliability, and secure operation across diverse customer cloud environments Build and scale high-throughput systems for log processing, routing, and transformation across distributed environments Lead cross-team initiatives, aligning engineers, product managers, and stakeholders to deliver complex, multi-team projects Design and implement software that runs reliably that customers deploy and operate within their own cloud infrastructure. Improve system performance, scalability, and cost efficiency through thoughtful trade-off analysis and capacity planning Contribute hands-on to critical code paths, debugging, and deployment challenges in customer environments Who You Are: You have significant experience building software that is installed, deployed, and operated in customer environments rather than only as a fully managed SaaS service. You have strong expertise in distributed systems,

AWSAzureGCPKubernetes
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📍 New York, New York, United States· Full-time
✓ High-confidence listingTop 25% payDemand 51/100Company trend -83.5%

From $244K/yr

Quick readTop 25% pay versus similar roles

We're looking for a Staff Engineer to join the Logs organization at Datadog and help redefine how our customers ingest, query, and derive insights from logs data. In this role, you’ll work closely with Product Managers and customers to drive complex initiatives across ingestion pipelines, search infrastructure, and intelligent log management capabilities - all while pushing the boundaries of what’s possible with AI and distributed systems. You’ll have the opportunity to lead efforts that shape the future of log management. At Datadog, we place value in our office culture - the relationships and collaboration it builds and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them. What You’ll Do: Partner with Product Managers to define ambiguous product requirements and determine the most impactful solutions for customers Lead technical strategy and execution and design systems surrounding log query performance and ingestion at scale. Explore and prototype new capabilities and collaborate with peers on initiatives spanning AI-powered log management, security and business operations, advanced query capabilities, and external data sources query capabilities. Mentor engineers across levels and contribute to growing a high-performing, collaborative team culture Who You Are: You have deep experience architecting and scaling backend systems, with a strong focus on data-intensive or distributed infrastructure You excel in ambiguous environments, demonstrating a mix of drive, curiosity and pragmatic decision-making You’ve partnered effectively with Product Managers and customers to define product direction and ship impactful features You have expertise in debugging complex systems and optimizing performance across real-time data pipelines You have experience in using AI agents tools in your day-to-day engineering practices You lead by example and enjoy helping others grow through m

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📍 Menlo Park, California, United States· Full-time
✓ Quality checkedDemand 51/100Company trend -91.7%

$177.2K – $208.6K/yr · Jobiba est.

At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don’t just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset — who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done. The Snowhouse Foundation team builds our globally distributed data warehouse. We manage a vast array of petabyte scale data sets that are continuously ingested, processed and replicated from across all Snowflake environments and external data sources. Snowhouse powers all of Snowflake’s core business, engineering and data science needs and provides customers with full visibility into their account activities, usage, and resource consumption from all their global environments. The team is investing in multiple critical areas, including a pipeline authoring platform, high performance/high efficiency data export, ingestion and data layout. Our team is also responsible for a fundamental product for Snowflake’s customers: the Snowflake system database/application that provides customers with all usage insights they need to reason about their global Snowflake footprint as well as 1st party business logic such as ML powered functions and Budgeting applications. AS A PRINCIPAL SOFTWARE ENGINEER IN SNOWHOUSE FOUNDATION, YOU WILL: Design and implement innovative highly available distributed platforms and pipelines and enhance the overall Snowflake data infrastructure Lead and drive projects from idea formulation to design, implementation and successful productionization. Collaborate

AWSAzureGCPAI
C
📍 United States· Full-time
✓ Quality checkedCompany trend -100%

At ClickUp, we're building the future of work: the first truly converged AI workspace unifying tasks, docs, chat, calendar, and enterprise search, all supercharged by context-driven AI. We are an AI-native company. Every team member is expected to leverage AI daily, and we evaluate AI fluency as part of our hiring process. Join us and help redefine what's possible. 🚀 The Mission The Foundry is ClickUp's internal AI innovation lab — embedded inside GTM Systems and accountable for turning AI capabilities into production-grade, internally deployed products that make every GTM function faster and smarter. We build the infrastructure that powers AI-first work across Sales, Marketing, Post-Sales, and Revenue Operations. As the Senior Software Engineer on this team you will own the technical delivery of our MCP server platform, agent orchestration layer, and internal tooling — shipping production systems used daily by hundreds of ClickUp employees, and scaling your own throughput by treating AI tools as first-class engineering collaborators. What You'll Own MCP Server Platform Design, build, and operate Model Context Protocol servers that expose CRM, ticketing, analytics, and communication data to AI agents across the GTM stack Implement Okta PKCE authentication flows and RBAC policy enforcement so agents access only the data they're authorized to touch Maintain deployment infrastructure on AWS (Bedrock, Lambda, ECS, API Gateway) and contribute to GCP workloads where applicable Own observability: structured logging, distributed tracing, latency SLOs, and on-call runbooks for every production server Agent Orchestration & AI-Native Products Build and maintain multi-step autonomous agents that execute end-to-end GTM workflows — lead qualification, deal room assembly, onboarding automation, support triage, and more Architect prompt engineering frameworks, tool-call schemas, and agent evaluation harnesses that make AI behavior predictable and auditable Integrate with LLM p

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