We are seeking an experienced IT Information Security Manager to own, advance, and scale our Identity & Access Management (IAM) program. In this role, you will lead a dedicated team of IAM engineers and analysts responsible for identity governance, access lifecycle management, privileged access management (PAM), and authentication architecture across enterprise applications, cloud infrastructure, and hybrid environments. You will bridge strategic vision with technical execution—ensuring seamless user access while maintaining a robust zero-trust security posture and meeting stringent compliance requirements. In This Role, You Will... Strategic Leadership & Governance IAM Strategy: Lead the definition, rollout, and execution of the enterprise IAM roadmap, aligning identity practices with Zero Trust principles and corporate security standards. Governance & Policies: Develop, maintain, and enforce identity policies, including Role-Based Access Control (RBAC), Attribute-Based Access Control (ABAC), Least Privilege, and Separation of Duties (SoD). Team Management: Lead, mentor, and build a high-performing team of IAM engineers, system integrators, and security analysts. Operational Excellence & Technical Oversight Lifecycle Management: Oversee the Joiner, Mover, and Leaver (JML) processes to automate provisioning and de-provisioning workflows across on-premises and cloud platforms. Authentication & SSO: Architect and oversee modern authentication standards, including Single Sign-On (SSO), Multi-Factor Authentication (MFA), SAML 2.0, OpenID Connect (OIDC), and passwordless technology. Privileged Access Management (PAM): Manage enterprise PAM solution implementation, securing administrative credentials, session monitoring, and just-in-time access controls.</
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About the Team DoorDash’s ML Serving Platform delivers tens of millions of predictions per second , powering search, recommendations, advertising, delivery estimates, and logistics across DoorDash, Wolt, and Deliveroo. Our customers are modelers and engineering teams across our internal business verticals. We build self-serve infrastructure that empowers them to bring new models into production, adopt open source software and models, and expand what they can accomplish with machine learning at scale. We work at the intersection of a rapidly evolving open source ecosystem and demanding production workloads. With active customer demand and growing modeling ambitions, we’re advancing the infrastructure behind today’s predictions while building the capabilities that enable the next generation of ML innovation. About the Role You’ll help build the next generation of our ML serving platform, connecting request routing and online feature retrieval with model inference on CPU and GPU infrastructure. You’ll tackle challenging infrastructure problems involving latency, reliability, resource efficiency, and scale, and make those capabilities accessible through self-serve tools and workflows. Working alongside experienced platform engineers, you’ll own defined projects from technical design and implementation through testing, rollout, and production support. You’ll partner directly with internal teams to understand emerging modeling requirements, remove adoption barriers, and turn advances in open source technology into measurable production improvements. You’re excited about this opportunity because you will… Empower modelers through self-serve infrastructure. Build tools, APIs, and workflows that help internal teams deploy, configure, validate, and operate models independently, accelerating ML adoption across business verticals. Bring open source innovation into production. Evaluate and integrate evolving inference frameworks and enable open source models, translating promisi
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 You embed directly with customer teams as the engineer on the ground: own an outcome, ship a production-grade SpaceXAI system that still runs after you leave, and become the critical technical feedback loop from the field back to product engineering. The work is the project. One week you might take a messy business workflow and put a production agent on it: pick the use case, stand up the architecture, wire it into the customer’s auth, data, and tools, then harden it with evals until the team actually uses it. Another week you might live in a customer’s repo and delivery system and ship an agent-powered path for a migration, a PR review loop, or an incident-to-fix flow, behind tests, review, and rollout rather than in a chat sidebar. Either way, you measure what matters, leave the customer able to operate it, and bring the pattern back as another use case for SpaceXAI. This is not a demo role. You own the work end to end, from the first discovery call through launch, iteration, and post-launch support, and you are responsible for systems that work in the real world. What you’ll do Lead discovery with the customer: orient in their codebases and workflows, find the
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. Okta Identity Governance (OIG) organization is looking for a Senior Engineer to join our team — OIG is Okta’s Identity Governance and Administration solution that is directly responsible for one of the most critical and visible workflows in enterprise identity: how employees request, approve, and gain access to the resources they need. Opportunity As a Senior Engineer on the OIG team, you will be involved into development, design, and maintenance of our product to serve enterprise customers at scale. You will involve the architecture and evolution of our product features — spanning the across different access governance personas — and work collaboratively across engineering, product, and design to deliver features that are secure, scalable, and delightful to use. This is a role for someone who thinks in systems, leads with craft, and is energized by the challenge of building enterprise-grade software that millions of users depend on. This is a rare opportunity to join a team where your technical decisions will directly shape how thousands of enterprises manage access governance at scale, where the technical challenges are genuinely hard, and where the work you ship will be seen and felt by real users every day. Job Duties And Responsibilities Take end-to-end ownership of feature areas — from technical design through implementation, testing, deployment, and post-launch monitoring Design, build, and ship high-quality, production-ready features ac
Principal Consultant – Data Transformation & Technical Program Delivery Location: McLean, VA | Practice Area: Technology & Engineering | Type: Permanent Bring together data, technology, and transformation leadership to deliver complex programs that create meaningful outcomes for financial services clients. The Role As a Principal Consultant in Capco’s Technology & Engineering practice, you’ll lead complex data and technology transformation initiatives for financial services clients, taking programs from planning through implementation. You’ll combine a strong technical foundation with transformation delivery leadership, working across data engineering, data platforms, governance, analytics, cloud, and related technology initiatives. You’ll partner with engineers, architects, product owners, and senior business and technology stakeholders to turn strategic objectives into executable plans and drive programs through to successful delivery. This is a role for someone who can engage credibly with technical teams, understand what is being built, challenge assumptions, and identify dependencies while remaining focused on leading transformation and getting complex programs delivered , rather than acting as the hands-on engineer or solution architect. What You’ll Do Lead complex data and technology transformation programs, coordinating multiple workstreams across data engineering, platforms, governance, analytics, cloud, and related initiatives from planning through implementation. Partner with engineers, architects, product owners, and business and technology stakeholders to translate strategic objectives into executable plans, resolve blockers, and maintain alignment across teams. Establish effective program governance and maintain visibility across scope, milestones, resources, dependencies, risks, decisions, and business outcomes, providing clear executive-level reporting. Apply your technical understanding of modern data environments to challenge delivery a
We're building the future of Speech Intelligence at Speechmatics, and we need someone who can own the technical engine behind how customers discover, adopt, and grow with our platform. This is a hands-on backend engineering role, where your work directly shapes the journey from a customer's first interaction with our website to their first meaningful moment of value. If you thrive shipping, iterating, and making a measurable commercial difference, then we’d love to hear from you. What you'll do Own the backend development and ongoing health of the Speechmatics website and self-serve portal Build and maintain new custom components from scratch, turning design specifications into reliable, performant, production-ready code Manage Vercel deployments and backend infrastructure, keeping the live site fast, stable, and technically sound Implement UI design changes end-to-end, bridging the gap between what's designed and what goes live Write Python-based queries to surface insights across the self-serve portal and support data-driven decisions across the team Identify and act on opportunities to improve conversion across the self-serve funnel through well-timed, well-designed product experiences Collaborate closely with product, design, and data teams in a cross-functional, async-friendly way, working closely together to remove blockers and unlock opportunities Own the ongoing improvement of site performance, loading speed, and technical reliability What you'll need Proficiency in JavaScript and TypeScript for website backend development, with a track record of shipping and maintaining production code Hands-on Python experience, particularly for data queries Demonstrable experience with LLM and AI-first development workflows, tools like Claude, Cursor, or similar Experience in a product-led growth or self-serve SaaS environment, with a clear understanding of conversion funnels and how engineering choices affect them The ability to operate
Location Qualifications: Bucharest (hybrid, 2 days in the office) About the position As an AI Engineer at Showpad, you will contribute to our AI and machine learning initiatives, working closely with cross-functional teams to develop and implement AI technologies that align with our business goals. You'll collaborate with experienced engineers to build impactful solutions and grow your expertise in a fast-moving space. You'll work with state-of-the-art technologies such as LLM models like LLama 3/3.1, Claude models, AWS Bedrock, AWS Sagemaker, and AWS OpenSearch. Our primary languages are Python, TypeScript, and Kotlin. The AI and Generative AI space is evolving rapidly, and so are we — we continuously update to the newest models, track emerging techniques, and engage in extensive experimentation with prompt engineering. Key Responsibilities Design, develop, and maintain AI models to solve complex business problems Contribute to projects from scoping through to release, under the guidance of senior engineers Support the performance and reliability of AI and machine learning systems Collaborate effectively across teams, sharing progress and surfacing blockers early Design, craft, and optimize prompts that guide our AI systems to generate accurate, informative, and creative outputs Contribute to engineering and product discussions, bringing fresh perspectives. Are you our next AI Engineer? Must haves Educational background in Computer Science, Machine Learning, AI, or a related field — or equivalent knowledge gained through hands-on experience Experience developing and implementing AI models and algorithms Good knowledge of Python Hands-on experience working with LLMs and other Generative AI models Experience working with AWS or other cloud providers Strong problem-solving skills and the ability to think critically and creatively Good communication and collaboration skills Nice to haves Experience building retrieval augmented generation (RAG) systems Experience with s
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. Staff Software Engineer - Full Stack Position Description: We are seeking an experienced Staff Engineer to provide technical leadership for the Advanced Integration Builder team within Okta. This team builds and maintains the backend services, provisioning frameworks, authentication connectors, and next-generation Entitlement Management engines that let Okta customers secure, integrate, and govern access to thousands of third-party enterprise applications — from modern cloud platforms (Microsoft Office 365, Workday, Salesforce, AWS, ServiceNow) and AI agentic systems to legacy on-prem systems . As a Staff Engineer, you will set technical direction across multiple integrations and the shared frameworks they depend on, resolve the hardest cross-app reliability and architecture problems — rate limiting at scale, backward compatibility — and raise the engineering bar for the team. This is a backend-intensive role centered on distributed systems, API client architecture, and operational excellence at scale. Day-to-day frontend involvement is still light relative to backend work, but you'll need decent React and JSP experience to guide and occasionally hand-build the new feature requests. Job Duties and Responsibilities: - Technical Leadership: Independently drive the design and execution of complex, ambiguous initiatives spanning multiple app integrations or shared frameworks used across dozens of connectors. - Architecture & Design: Lead technical design di
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. Staff Software Engineer, Device Identity (Java) Device Identity and Access Organization The Device Identity and Access organization is at the forefront of Okta’s Zero Trust vision. As a foundational pillar within Okta Research and Development (ORD), our mission is to transform the device itself into a secure, trusted, and effortless identity factor. We are the teams responsible for ensuring users can seamlessly interact with their work from any endpoint, anywhere in the world. We engineer the end-to-end device experience—from our flagship FastPass , Okta Device Access (ODA), and Device Assurance . Our teams own the continuous authentication pipeline, device lifecycle management, and the sophisticated cloud services that analyze real-time trust and assurance signals to make frictionless, passwordless access a reality across Windows, macOS, iOS, Linux and Android. Our organization is comprised of engineers who thrive at the intersection of deep client-side platform engineering and massive-scale distributed systems. The work we do secures millions of enterprise endpoints globally, prevents modern identity attacks, and fundamentally changes how people work by making world-class security completely invisible to the end user. Explore our culture and technical innovations on the Okta Engineering Blog . The Staff Software Engineer Opportunity We seek a dynamic and influential Staff Software Engineer to join our Device Identity engineering team. The ideal candidate
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. Get to know Okta Okta is The World’s Identity Company. We free everyone to safely use any technology, anywhere, on any device or app. Our Workforce and Customer Identity Clouds enable secure yet flexible access, authentication, and automation that transforms how people move through the digital world, putting Identity at the heart of business security and growth. At Auth0, an Okta company, we help organizations build secure, seamless customer experiences. As AI agents become active participants in software systems (acting on behalf of people, organizations, and other agents) identity becomes even more foundational. We are building for a future where agents can securely authenticate, access resources, delegate authority, and operate within clear, auditable boundaries. We’re building a world where Identity belongs to you. The Opportunity We are looking for a Product Architect, AI to help define how Auth0 and Okta lead the market in agentic identity, secure AI application development, and standards-based access for agents. This is a senior, highly strategic, and deeply hands-on role. You will work across Product, Engineering, Security, Developer Relations, Design, Go-to-Market, and our customer community to shape the technical and product direction for AI-native identity capabilities. You will bring a strong point of view on where the industry is going, grounded in real experience building AI-powered and agentic systems. You will help us translate fast-moving t
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. Get to know Okta Okta is The World’s Identity Company. We free everyone to safely use any technology, anywhere, on any device or app. Our Workforce and Customer Identity Clouds enable secure yet flexible access, authentication, and automation that transforms how people move through the digital world, putting Identity at the heart of business security and growth. At Auth0, an Okta company, we help organizations build secure, seamless customer experiences. As AI agents become active participants in software systems (acting on behalf of people, organizations, and other agents) identity becomes even more foundational. We are building for a future where agents can securely authenticate, access resources, delegate authority, and operate within clear, auditable boundaries. We’re building a world where Identity belongs to you. The Opportunity We are looking for a Product Architect, AI to help define how Auth0 and Okta lead the market in agentic identity, secure AI application development, and standards-based access for agents. This is a senior, highly strategic, and deeply hands-on role. You will work across Product, Engineering, Security, Developer Relations, Design, Go-to-Market, and our customer community to shape the technical and product direction for AI-native identity capabilities. You will bring a strong point of view on where the industry is going, grounded in real experience building AI-powered and agentic systems. You will help us translate fast-moving t
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. Security Engineer, Customer Identity, Advanced Threat Protection Get to know Okta Okta is The World’s Identity Company. We free everyone to safely use any technology—anywhere, on any device or app. Our Workforce and Customer Identity Clouds enable secure yet flexible access, authentication, and automation that transforms how people move through the digital world, putting Identity at the heart of business security and growth. At Okta, we celebrate a variety of perspectives and experiences. We are not looking for someone who checks every single box - we’re looking for lifelong learners and people who can make us better with their unique experiences. Join our team! We’re building a world where Identity belongs to you. The Role We seek a knowledgeable and research-focused Security Engineer to join a new Advanced Threat Protection team within Auth0 Customer Identity. This role does two things at once: it researches how attackers will use AI against identity systems, and it researches and builds how we use AI to defend our products, our infrastructure, and — most importantly — our customers' tenants. This role is a key member of the Security team embedded within the Customer Identity product unit and works across multiple functions to get ahead of emerging AI threats, supporting the growth of our global Customer Identity business. We are an engineering-focused team that seeks to stay on the cutting edge of security technology and the thre
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. Staff Software Engineer, Platform & Infrastructure Tagline: Build the engine that builds Okta. 🚀 Your Mission: Define the Future of Developer Velocity at Okta Are you a software engineer who believes that an exceptional developer platform is the key to unlocking engineering-wide innovation? Are you obsessed with building the high-leverage tools, services, and automated infrastructure that make building, testing, and deploying software a seamless experience? Okta's Platform & Infrastructure team is the central nervous system for all of Okta Engineering. We build and own the entire internal developer platform—the CI/CD pipelines, the build-and-test orchestration, and the multi-cloud infrastructure that powers it all. This isn't just about maintaining systems. It's about building a scalable, resilient, and blazing-fast "paved road" that empowers hundreds of engineers to ship high-quality code, multiple times a day. Our scale is immense. We run tens of thousands of automated tests for every single commit . As Okta grows, this CI/CD workload presents a monumental engineering challenge. Your primary goal will be to attack this problem head-on. You will be a key builder in our quest to shrink massive, distributed compute jobs from hours or days down to just minutes . This role requires deep systems thinking, clever orchestration, and a passion for wringing every last drop of performance out of the infrastructure. 💻 What You'll Do (The Impact
About the Role At Sigma, we’re not just adding AI—we’re building the future of how people work with data. Our platform already lets users explore billions of rows of data in seconds with a spreadsheet-like interface, analyze and present their data in workbooks, and build data apps and workflows. Now we’re pushing further, applying AI to reshape how people build in Sigma, discover insights, and make smarter decisions—fast. You can learn more about our vision for AI/ML at Sigma in our blog post . That’s where you come in. As an AI/ML PhD Intern , you’ll join a growing team focused on building the AI foundation that will power Sigma for the future. Your work will become an integral part of the workflow for the thousands of enterprises that run on Sigma. We're looking for PhD students that are passionate about the intersection of AI, business, and data. What You’ll Do Conduct original AI/ML research in search, recommendations, natural language processing, agentic workflows and more Prototype and productionize AI systems that feel intuitive but do a lot under the hood Tackle novel UX problems at the intersection of AI, analytics, and data apps Contribute to the development of scalable AI/ML infrastructure for experimentation, training, and evaluation of large-scale models. What You Bring Current PhD student studying AI/ML at a U.S. accredited university Deep understanding of machine learning, including deep learning algorithms, model architectures and optimization Baseline understanding of building and deploying production-grade AI/ML systems Knowledge of the full ML lifecycle: data curation, training, deployment, monitoring Desire to bridge research and application—bringing new AI ideas from concept to impactful deployment. Bonus Points (or skills you’ll build here) You've built agents that can plan, reason, and use tools You’ve fine-tuned or trained foundation models (language or multimodal) for novel domains You know your way around cloud infrastru
About the Role At Sigma, we’re not just adding AI—we’re building the future of how people work with data. Our platform already lets users explore billions of rows of data in seconds with a spreadsheet-like interface, analyze and present their data in workbooks, and build data apps and workflows. Now we’re pushing further, applying AI to reshape how people build in Sigma, discover insights, and make smarter decisions—fast. You can learn more about our vision for AI/ML at Sigma in our blog post . That’s where you come in. As an AI/ML PhD Intern , you’ll join a growing team focused on building the AI foundation that will power Sigma for the future. Your work will become an integral part of the workflow for the thousands of enterprises that run on Sigma. We're looking for PhD students that are passionate about the intersection of AI, business, and data. What You’ll Do Conduct original AI/ML research in search, recommendations, natural language processing, agentic workflows and more Prototype and productionize AI systems that feel intuitive but do a lot under the hood Tackle novel UX problems at the intersection of AI, analytics, and data apps Contribute to the development of scalable AI/ML infrastructure for experimentation, training, and evaluation of large-scale models. What You Bring Current PhD student studying AI/ML at a U.S. accredited university Deep understanding of machine learning, including deep learning algorithms, model architectures and optimization Baseline understanding of building and deploying production-grade AI/ML systems Knowledge of the full ML lifecycle: data curation, training, deployment, monitoring Desire to bridge research and application—bringing new AI ideas from concept to impactful deployment. Bonus Points (or skills you’ll build here) You've built agents that can plan, reason, and use tools You’ve fine-tuned or trained foundation models (language or multimodal) for novel domains You know your way around cloud infrastru
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