Engineer Senior Jobs

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 Us: Notion helps you build beautiful tools for your life’s work. In today's world of endless apps and tabs, Notion provides one place for teams to get everything done, seamlessly connecting docs, notes, projects, calendar, and email—with AI built in to find answers and automate work. Millions of users, from individuals to large organizations like Toyota, Figma, and OpenAI, love Notion for its flexibility and choose it because it helps them save time and money. In-person collaboration is essential to Notion's culture. We require all team members to work from our offices on Mondays, Tuesdays, and Thursdays, our designated Anchor Days. Certain teams or positions may require additional in-office workdays. About the Role: Millions of people rely on Notion to do their most important work. Protecting that trust starts with protecting the people who build Notion: our employees, their laptops, their identities, and the SaaS apps they rely on every day. We are looking for a hands-on Corporate Security Engineer to own and improve the technical controls that keep our workforce and corporate environment safe. This is a security engineering

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 The Onboarding team owns the product flows and platform that powers all new customer account creation at Ramp. This includes Ramp's application decisioning system that interfaces with our fraud, compliance, and credit underwriting models. As an engineer here, you’ll own workstreams that expand Ramp's total serviceable market and improve the end-to-end customer onboarding experience. You’ll partner with product, data, and design, and work directly with stakeholders across sales, marketing, risk strategy, operations, and finance to accelerate Ramp’s growth. This role offers the opportunity to have an outsized impact on Ramp’s overall growth trajectory. What You’ll Do Build software to grow Ramp to its next millions of users Scale the output of our application decisioning ops team through automation and AI assistance Drive business outcomes through metric-driven software development Own the customer journey from discovering and applying to Ramp through getting approved for and onboarding to the product What You Need Minimum of 2 years of

About the team The Applied team safely brings OpenAI's technology to the world. We released ChatGPT; Plugins; DALL·E; and the APIs for GPT-5, embeddings, and fine-tuning. We also operate inference infrastructure at scale. There's a lot more on the immediate horizon. Our customers build fast-growing businesses around our APIs, which power product features that were never before possible. ChatGPT is a prime example of what is currently possible. We simultaneously ensure that our powerful tools are used responsibly. Safe deployment is more important to us than unfettered growth. The Fraud Engineering team works within our Applied Engineering organization identifying and responding to fraudsters on our platform. We are looking for a software engineer with anti fraud & abuse experience to help architect and build our next-generation anti-fraud systems. About the role The Scaled Abuse team protects OpenAI’s products and customers by detecting, preventing, and responding to fraudulent and abusive behavior at scale. We build and operate the backend and data systems that power real-time detection, investigation workflows, and enforcement — balancing strong protections with a great user experience as the platform grows. Our work sits at the intersection of engineering and abuse expertise: we partner closely with Trust & Safety, Security, and Product to understand emerging attack patterns, translate messy signals into clear system behavior, and continuously harden our defenses. The problems are dynamic and ambiguous by default, so we value engineers who can quickly dive into an unfamiliar codebase, develop strong intuition about how it works end-to-end, and propose pragmatic improvements that make the entire stack more resilient. In this role, you will: Design and build systems for fraud detection and remediation while balancing fraud loss, cost of implementation, and customer experience Work closely with finance, security, product, research, and trust & safety ope

OVERVIEW The Data Engineer II will work closely with clients and provide technical consulting services, configuration of the elluminate platform, development for specific projects that include trial configuration, quality control, process improvements, system validation, custom analytics development, clinical software implementations and integrations. platform configuration, ETL and custom analytics development. The Data Engineer II will engage in technical development and implementation of various software service delivery related activities. As a Data Engineer II, you will play a crucial role in providing high-level technical consulting services and configuring the elluminate® platform. You will oversee specific projects, including trial configuration, quality control, and project management. KEY TASKS & RESPONSIBILITIES ➢Collaborating closely with clients to deliver technical consulting services and configure the elluminate® platform. ➢Guiding and supporting the team of data engineers on various technical service delivery activities. ➢Designing, developing, testing, and deploying efficient SQL code to support SDTM, custom reports, and visualizations using tools like MS SQL, elluminate® Mapper, and Qlik. ➢Providing technical guidance, training, and support to team members and users on processes, technology, and products. ➢Managing multiple timelines and deliverables for single or multiple clients, and handling client communications as assigned. ➢Possessing in-depth knowledge of at least one Elluminate module, with hands-on experience in all other modules. ➢Delivering proactive technical support for all client-reported support tickets. ➢Facilitating client onboarding workshops and conducting training sessions for end users on the Elluminate platform. ➢Configuring, migrating, and supporting the elluminate® platform for assigned clients. ➢Creating and maintaining all required specifications and quality control documents as per SOP and processes. CANDIDATE’S PROFI

OVERVIEW The Data Engineer II will work closely with clients and provide technical consulting services, configuration of the elluminate platform, development for specific projects that include trial configuration, quality control, process improvements, system validation, custom analytics development, clinical software implementations and integrations. platform configuration, ETL and custom analytics development. The Data Engineer II will engage in technical development and implementation of various software service delivery related activities. As a Data Engineer II, you will play a crucial role in providing high-level technical consulting services and configuring the elluminate® platform. You will oversee specific projects, including trial configuration, quality control, and project management. KEY TASKS & RESPONSIBILITIES ➢Collaborating closely with clients to deliver technical consulting services and configure the elluminate® platform. ➢Guiding and supporting the team of data engineers on various technical service delivery activities. ➢Designing, developing, testing, and deploying efficient SQL code to support SDTM, custom reports, and visualizations using tools like MS SQL, elluminate® Mapper, and Qlik. ➢Providing technical guidance, training, and support to team members and users on processes, technology, and products. ➢Managing multiple timelines and deliverables for single or multiple clients, and handling client communications as assigned. ➢Possessing in-depth knowledge of at least one Elluminate module, with hands-on experience in all other modules. ➢Delivering proactive technical support for all client-reported support tickets. ➢Facilitating client onboarding workshops and conducting training sessions for end users on the Elluminate platform. ➢Configuring, migrating, and supporting the elluminate® platform for assigned clients. ➢Creating and maintaining all required specifications and quality control documents as per SOP and processes. CANDIDATE’S PROFI

Truveta is the world’s first health provider led data platform with a vision of Saving Lives with Data. Our mission is to enable researchers to find cures faster, empower every clinician to be an expert, and help families make the most informed decisions about their care. Achieving Truveta’ s ambitious vision requires an incredible team of talented and inspired people with a special combination of health, software and big data experience who share our company values . Truveta was born in the Pacific Northwest in the USA and has employees who live across the country. As we expand our global footprint with a new presence in Hyderabad, India, we’re building a world-class team to help us scale this mission and Clinical Intelligence and AI Evaluation is at the heart of everything we do. This job requires daily onsite work at our office in Hyderabad, India. This Opportunity Join the founding team of the Truveta India Development Center (IDC) and play a pivotal role in shaping its future. As one of the initial members, you'll help build and scale a high-impact organization while contributing to products and platforms that advance healthcare through data and AI. This is a unique opportunity to influence both the technical direction and the culture of a growing global engineering hub. This highly visible position will report to our Director of Clinical Intelligence and AI Evaluation team directly and will collaborate closely with engineers, product managers, designers, and ML teams across geographies. Who We Need Truveta is rapidly building a talented and diverse team to tackle complex healthcare domain data and technical challenges. Beyond core capabilities, we are seeking problem solvers, passionate and collaborative teammates, and those willing to roll up their sleeves while making a difference. If you are interested in the opportunity to pursue purposeful work, join a mission-driven team, and build a rewarding career while having

Our vision is to transform how the world uses information to enrich life for all. Join an inclusive team passionate about one thing: using their expertise in the relentless pursuit of innovation for customers and partners. The solutions we build help make everything from virtual reality experiences to breakthroughs in neural networks possible. We do it all while committing to integrity, sustainability, and giving back to our communities. Because doing so can fuel the very innovation we are pursuing. Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever. Job Summary and Description: The TD MDE Shift Engineer is responsible for robust shift-level operations that support TD work you're doing. This role acts as the critical bridge between real-time shift execution and TD strategic objectives, translating priorities into actionable plans that ensure process stability, yield protection and operational excellence. The Shift Engineer coordinate directly with TD 1st Shift team members, HVM Shift Ops Team and multi-functional teams to deliver consistent, high-quality execution. Additional responsibilities include but are not limited to: Safety & Quality: Finishes the required safety training and adheres to safety and regulatory policies Proactively identifies and resolves safety and quality issues with stakeholders Drives reduction of injuries, hazards, and environmental incidents Shift Operations Serves as 2nd line of defense for shift critical area issues (lot hold, disposit

About the Team The Cloud Agents team builds product infrastructure for long-running agents in the cloud: orchestration, sandboxing and isolation, secure environment connectivity, secrets and identity, observability, reliability, and cost controls. These agents securely connect to diverse developer and customer environments and use tools to accomplish goals. We partner closely with product, research, and infrastructure teams to turn agentic capabilities into dependable platforms for OpenAI products and developers building on OpenAI. About the Role We are looking for an experienced software engineer to help build and scale our cloud agent platform. You will design and operate systems for orchestrating agents at scale. You will work closely with product engineers on ChatGPT, API, and Codex to define the right abstractions and enable them to ship products quickly. Strong backend or infrastructure experience is important; experience with Python, Rust, distributed systems, cloud infrastructure, or product platforms is especially helpful. In this role, you will: Design and scale the orchestration, sandboxing and storage systems that run agentic workloads for Codex, ChatGPT, and the OpenAI API. Partner with product engineers to build a platform that enables them to ship quickly and turn feedback into robust abstractions. Improve reliability, security, performance, and cost efficiency for long-running agents. Deploy services that can operate across different environments and clouds. Your background might look something like: 9+ years of professional engineering experience, excluding internships, in relevant roles at technology and product-driven companies. Experience leading large-scale backend, platform, or infrastructure projects from ambiguous problem statements to production systems. Proficiency in one or more backend languages such as Python, Go, Rust, TypeScript, or similar, and the ability to move across service, platform, and product boundaries. Strong understanding

Full-Time | Remote About the Role We are seeking a skilled DevSecOps Engineer to design, deploy, and maintain secure, cloud-native infrastructure supporting Department of War customers. You will work across container platforms, CI/CD pipelines, and government cloud environments to deliver hardened, compliant software systems at scale. This role sits at the intersection of platform engineering, security, and DevSecOps and requires a strong understanding of DoW policies, toolchains, and accreditation processes. Key Responsibilities Design and maintain Kubernetes-based infrastructure, including cluster provisioning, RBAC configuration, network policy, and workload management Package and deploy applications using Helm charts; maintain chart repositories and manage release lifecycle across environments Implement and enforce policy controls using Istio service mesh, OPA Gatekeeper, Kyverno, and related Kubernetes admission controllers Build and maintain CI/CD pipelines using GitLab CI, GitHub Actions, Jenkins, or equivalent tooling; integrate automated security scanning and compliance gates Deploy and operate workloads on AWS GovCloud and Azure Government; architect for high availability, disaster recovery, and cross-region compliance requirements Manage and harden container images; integrate with Iron Bank, Platform One, and other DoW-approved registry sources Configure and maintain observability stacks including Prometheus, Grafana, and Datadog; develop alerting, dashboards, and SLO frameworks Participate in ATO processes, support STIG/CIS compliance scanning, and contribute to System Security Plans (SSPs) and documentation artifacts Collaborate with development, security, and program teams to establish and refine DevSecOps practices across the software delivery lifecycle Support air-gapped and classified environment deployments; design solutions for offline image transfer, registry mirroring, and artifact management Coordinate with government platform teams and managed

Who we are About Privy Our mission is to make privacy and user ownership the default online. To do so, we build simple, flexible APIs and tools for developers that make it easy to build new products on crypto rails. Privy owns the abstractions and infrastructure layer above wallets, integrating across chains, third-party providers, and Stripe products like Treasury and Link. We get to solve hard technical problems while leveraging Stripe's distribution to reach customers like Ramp, Klarna, Deel, Kraken, Hyperliquid, and Fomo — powering experiences for both mainstream users and crypto natives. About the team At Privy, Solutions Engineering owns the technical customer journey from evaluation through launch and beyond. They are the primary technical DRI throughout the entire customer lifecycle (pre-sales, integration, and post-launch support). They help customers move fast, stay unblocked, and get to production with confidence. This is a high-leverage role at the intersection of customers, product, and engineering. You’ll work closely with Account Management, Forward Deployed Engineers (FDEs), Product Engineering to make sure customers are set up to succeed and that technical issues get resolved quickly and clearly. We’re looking for someone who is deeply technical, highly organized, and customer-obsessed. Someone who can quarterback complex integrations, communicate clearly with technical stakeholders, and keep customer work moving with speed and rigor. What you’ll do Own the technical relationship for Privy’s most important customers end-to-end Lead technical discovery, implementation planning, and launch coordination Drive integrations to successful completion Unblock customer issues quickly and with urgency Coordinate technical follow-through across internal and external stakeholders Partner closely with Account Management on customer health and escalations Work with FDE when a problem requires bespoke technical work or product development Route long-tail iss

SpaceX was founded under the belief that a future where humanity is out exploring the stars is fundamentally more exciting than one where we are not. Today, SpaceX is actively developing the technologies to make this possible, with the ultimate goal of making life multiplanetary and expanding consciousness to the stars. SpaceXSI is building Super Intelligence to help humanity understand the universe. Our teams are building the full Super Intelligence stack: from our Colossus supercomputers, to Grok models, to our suite of applications, including Grok Bot, Grok Build, Grok Imagine, Grok Voice, and X. We're creating a powerful flywheel where more compute trains better models, better models power more useful products, and what we learn from people using those products shapes what we build next. About the Role We’re hiring Field Engineers to partner with prospective and strategic enterprise customers. As a Field Engineer, you’ll be the technical face of Anysphere in the field, helping customers evaluate Cursor, guiding them through proofs of concept, and ensuring they see the full value of AI in their engineering workflows. You’ll work hand-in-hand with Sales, Product, and Engineering to scope solutions, demonstrate capabilities, and act as a trusted advisor to technical stakeholders. This is a highly customer-facing role where you’ll combine deep technical fluency with strong communication skills to drive adoption and influence product direction. What you’ll do Partner with Account Executives to lead technical discovery, demos, and proof-of-concept engagements Build trusted relationships with engineering leaders, architects, and developers, serving as their technical advisor Translate customer requirements into solution designs, guiding them on best practices for rollout, prompt strategy, and context configuration Develop and deliver technical presentations, whiteboard sessions, and hands-on workshops tailored to customer needs Act as the customer’s technical advocate

Figma is growing our team of passionate creatives and builders on a mission to make design accessible to all. Figma’s platform helps teams bring ideas to life—whether you're brainstorming, creating a prototype, translating designs into code, or iterating with AI. From idea to product, Figma empowers teams to streamline workflows, move faster, and work together in real time from anywhere in the world. If you're excited to shape the future of design and collaboration, join us! The Marketing Engineer, AI Deployment will design and build programmatic go-to-market systems and AI-powered workflows that improve efficiency, impact, and execution across Marketing. This role sits at the intersection of operations, data, and marketing with a focus on turning strategy & manual work into scalable, automated systems. This is not a traditional operations role. It is a systems-focused role dedicated to building the infrastructure, workflows, and intelligence layers that power a modern, product-informed revenue and efficiency engine across marketing. The ideal candidate is an expert in building interconnected data layers optimized for AI, driving AI adoption, and translating complex business challenges into scalable, automated technical workflows that directly drive revenue and operational efficiency. Success in this role is measured in three ways: agents live—the count of AI systems you've shipped into real, recurring use by marketers; hours saved—manual work returned to the org and reinvested in higher-leverage problems; and revenue driven—pipeline, conversion lift, or deal velocity directly attributable to what you've built. Everything else flows from those three numbers. This is a full time role that can be held from one of our US hubs or remotely in the United States. What you'll do at Figma: Identify and define high-impact AI use cases across marketing, taking them from prototype to full deployment Coach and partner with marketers to take them from novice to full wor

About us Sierra is the leading platform for customer-facing AI agents, working with many of the world's biggest brands — including The GAP, Rocket Mortgage, SoFi, Sutter Health, and SoftBank — to transform how they serve customers and grow their businesses. We are primarily an in-person company based in San Francisco, with growing offices across North America, Europe, and Asia. We are guided by a set of values that are at the core of our actions and define our culture: Trust, Customer Obsession, Craftsmanship, Intensity, and a commitment to balancing Family along the way. These values are the foundation of our work, and we are committed to upholding them in everything we do. Our co-founders are Bret Taylor and Clay Bavor . Bret currently serves as Board Chair of OpenAI. Previously, he was co-CEO of Salesforce (which had acquired the company he founded, Quip) and CTO of Facebook. Bret was also one of Google's earliest product managers and co-creator of Google Maps. Before founding Sierra, Clay spent 18 years at Google, where he most recently led Google Labs. Earlier, he started and led Google’s AR/VR effort, Project Starline, and Google Lens. Before that, Clay led the product and design teams for Google Workspace. What you’ll do Reporting & Experimentation: Build a system for analyzing and visualizing millions of data points about agent performance. Enable agent developers to run A/B test their agents to make data-driven decisions about agent behavior. Data Exploration: Build Explorer, the equivalent of ChatGPT + AI-powered clustering over conversational data. Monitoring: Build systems for proactively monitoring agents for defects or new patterns. What you'll bring A passion for being on the frontier of AI products. Motivation and high-agency to drive outcomes - we have a high-autonomy culture and each team member has lots of agency to overcome obstacles and achieve customer impact. Alignment to our company values throughout your work, notably finding a balance b

About us Sierra is the leading platform for customer-facing AI agents, working with many of the world's biggest brands — including The GAP, Rocket Mortgage, SoFi, Sutter Health, and SoftBank — to transform how they serve customers and grow their businesses. We are primarily an in-person company based in San Francisco, with growing offices across North America, Europe, and Asia. We are guided by a set of values that are at the core of our actions and define our culture: Trust, Customer Obsession, Craftsmanship, Intensity, and a commitment to balancing Family along the way. These values are the foundation of our work, and we are committed to upholding them in everything we do. Our co-founders are Bret Taylor and Clay Bavor . Bret currently serves as Board Chair of OpenAI. Previously, he was co-CEO of Salesforce (which had acquired the company he founded, Quip) and CTO of Facebook. Bret was also one of Google's earliest product managers and co-creator of Google Maps. Before founding Sierra, Clay spent 18 years at Google, where he most recently led Google Labs. Earlier, he started and led Google’s AR/VR effort, Project Starline, and Google Lens. Before that, Clay led the product and design teams for Google Workspace. What you’ll do Simulation & Benchmarking: How can we craft a simulation platform to test AI agents against every real-world scenario imaginable? (See 𝜏-Bench ) Content Management: How do we create intuitive, no-code tools that allow anyone to guide and test AI agents? Agent Development Lifecycle: How do we adapt traditional software development methodologies to accommodate AI agents’ non-deterministic behavior, natural language interactions, and reliance on large language models? (See Sierra’s ADLC ) Generative Agent Development: How do we accelerate agent creation using generative tools like Cursor and Claude Code? Can we build self-improving systems based on real-world interactions, customer-driven feedback, and self-play? What you'll bring A passion

About us Sierra is the leading platform for customer-facing AI agents, working with many of the world's biggest brands — including The GAP, Rocket Mortgage, SoFi, Sutter Health, and SoftBank — to transform how they serve customers and grow their businesses. We are primarily an in-person company based in San Francisco, with growing offices across North America, Europe, and Asia. We are guided by a set of values that are at the core of our actions and define our culture: Trust, Customer Obsession, Craftsmanship, Intensity, and a commitment to balancing Family along the way. These values are the foundation of our work, and we are committed to upholding them in everything we do. Our co-founders are Bret Taylor and Clay Bavor . Bret currently serves as Board Chair of OpenAI. Previously, he was co-CEO of Salesforce (which had acquired the company he founded, Quip) and CTO of Facebook. Bret was also one of Google's earliest product managers and co-creator of Google Maps. Before founding Sierra, Clay spent 18 years at Google, where he most recently led Google Labs. Earlier, he started and led Google’s AR/VR effort, Project Starline, and Google Lens. Before that, Clay led the product and design teams for Google Workspace. What you’ll do Agent Architecture: What primitives do we need to build agents that are steerable and verifiable, but also conversational and empathetic? How do we future-proof this as LLMs evolve? Retrieval: How do we ground answers in a customer’s knowledge base? How do we use retrieved context conversationally, handling cases where the answer is unclear or needs clarification from the user? Evals: How do we measure an agent’s quality? How do empower our customers to improve agent quality? Voice: How do we make our chat agents “just work” over the phone? How do we deliver lifelike conversations at low latency? Simulation & Benchmarking: How can we craft a simulation platform to test AI agents against every real-world scenario imaginable? (See 𝜏-Bench