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Location: United States & Canada Workplace: Remote About WorkOS 🚀 WorkOS builds modern developer tools and APIs that make it easy for companies to become Enterprise Ready. Our platform powers authentication, identity, authorization, and other critical infrastructure that developers need to securely scale their products to large organizations. We recently raised a $100M Series C, valuing the company at $2B, led by Meritech and Sapphire with participation from Greenoaks, Craft, Abstract, and Audacious. WorkOS powers enterprise features for many of the fastest-growing AI companies, including OpenAI, Cursor, and Perplexity, Sierra, and Plaid. As AI reshapes software, WorkOS is at the frontier of Human and Agent Authentication, Identity, and Access Control helping companies answer a new critical question: who are your agents, and what are they allowed to do? Our fast-growing customer base includes hundreds of modern software companies building the next generation of enterprise-ready products. ABOUT THE ROLE 💭 The Pipes & Vault team is responsible for building products that connect third-party data, services, and secrets to applications and AI agents. They form a backbone of data infrastructure and agentic workflows for our customers: - Pipes connects external data sources to our customers’ apps and agents - Vault secures credentials and secrets that are used across fleets of agents - Pipes MCP defines authority for agents to take action through integrations Unique to this team is that we also lead internal R&D efforts that leverage our products in novel ways. Examples include an agentic BI tool built on top of Pipes that reimagines how our support teams gets customer insights from internal data lakes, and a new web framework for apps with enterprise-grade security as the default. You'll work across a wide surface area, designing APIs for integrations, building secure storage and key management systems, contributing to open-source specs, and prototyping entirely new developer tools. Engineers on this team care deeply about reliability, security, and developer experience, and move quickly between shipped product work and exploratory R&D. RESPONSIBILITIES ✔️ - Design and build APIs, data connectors, and real-time pipelines that power Pipes and Pipes MCP - Architect systems for encryption, secure storage, key rotation, and secret management in Vault - Contribute to the Pipes MCP specification, defining how agents are granted scoped authority over integrations - Develop a deep understanding of the integrations and data infrastructure landscape and shape product direction across the team's portfolio - Expand product scope through value-add features based on customer input - Work closely with customers to understand integration, security, and compliance requirements - Collaborate with other product teams, solutions engineering, and our go-to-market team - Work directly with leadership on greenfield ideas - Help recruit and assess future engineering team members QUALIFICATIONS 🌟 - 5+ years of industry software development experience - Experience working on small teams in fast-paced environments - Background in building systems that solve for security, encryption, storage, multi-tenant data isolation, or large-scale data platforms - Intellectually curious, independently driven, and passionate about great products - A growth mindset, high emotional intelligence, and strong communication skills - Bonus: Experience with our stack of TypeScript, React, and Postgres - Bonus: Experience in B2B SaaS, developer tools, or a related industry Benefits and Perks (US Only) 💖 At WorkOS, we offer resources that emphasize personal and familial well-being. We offer healthcare coverage for you and your family, including medical, dental, and vision. We offer parental leave, paid-time off and fully remote working arrangements.   - 401k matching - Competitive Equity - Healthcare, dental and vision coverage - FSA, ST/LT Disability, Voluntary Life - Carrot fertility benefits - 20 days paid vacation + 10 holidays + unlimited sick leave - 12 weeks fully paid parental leave - Fitness: Monthly stipend for gyms, yoga classes, race registrations or whatever keeps you active - Wellness: Monthly stipend for a massage, meditations class, therapy, or activities that enhance your well-being - Commuter benefits for hybrid employees in SF/NYC - Unlimited token usage! Please inquire directly with our recruiting team for benefits available to those working outside the US.   Equal Opportunity Employer WorkOS is an equal opportunity employer, committed to diversity and inclusiveness. We will consider all qualified applicants without regard to race, color, nationality, gender, gender identity or expression, sexual orientation, religion, disability or age. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Location: United States & Canada Workplace: Remote About WorkOS 🚀 WorkOS builds modern developer tools and APIs that make it easy for companies to become Enterprise Ready. Our platform powers authentication, identity, authorization, and other critical infrastructure that developers need to securely scale their products to large organizations. We recently raised a $100M Series C, valuing the company at $2B, led by Meritech and Sapphire with participation from Greenoaks, Craft, Abstract, and Audacious. WorkOS powers enterprise features for many of the fastest-growing AI companies, including OpenAI, Cursor, and Perplexity, Sierra, and Plaid. As AI reshapes software, WorkOS is at the frontier of Human and Agent Authentication, Identity, and Access Control helping companies answer a new critical question: who are your agents, and what are they allowed to do? Our fast-growing customer base includes hundreds of modern software companies building the next generation of enterprise-ready products. About the role 💭 The Radar team builds our real-time identity intelligence layer that helps developers detect risk, prevent threats, and protect their apps. Radar ingests high-volume authentication and identity events, enriches them with signals, and powers workflows that customers use to take action: enforcing challenges, blocking suspicious behavior, or triggering reviews. Our mission is to give developers a turnkey platform for identity security and risk evaluation. The hard and interesting part for engineers is detection quality: catching real threats with high precision and very few false positives, in real time, against adversaries who are actively trying to get around us. Engineers on Radar care deeply about correctness, performance, observability, detection quality, and the developer experience. We measure our work by real impact, often in the millions of dollars of fraud and abuse we save customers. The engineers who thrive here are fascinated by data. Radar serves some of the fastest-growing AI companies in the world, which gives us one of the richest fraud-and-abuse datasets in the identity space. Responsibilities ✔️ - Design and build performant, resilient systems for real-time identity event processing - Craft intuitive APIs and developer workflows that make Radar easy to adopt - Dig into large-scale authentication data to find fraud and abuse patterns, then design, test, and measure the signals and models that detect them - Develop a deep understanding of the identity-security landscape and shape Radar’s product direction - Work directly with customers, including some of the biggest names in AI, to understand their fraud problems, prototype solutions for them, and become a trusted expert they rely on - Maintain a strong focus on reliability, security, correctness, and observability across the stack - Collaborate with other product teams, solutions engineering, and our go-to-market team - Work directly with leadership on greenfield ideas - Help recruit and assess future engineering team members Qualifications 🌟 - 5+ years of industry software development experience - Comfort working with data at scale - querying, analyzing, and drawing sound conclusions from large datasets - Background in large-scale systems, real-time pipelines, or event-driven architectures - Intellectually curious and data-driven, with a scientific mindset - you like forming hypotheses, testing them against data, and measuring the impact of what you build - A growth mindset, high emotional intelligence, and strong communication skills - Bonus: Experience with machine learning, anomaly detection, or fraud and abuse detection - Bonus: Experience in B2B SaaS, developer tools, or a related industry Benefits and Perks (US Only) 💖 At WorkOS, we offer resources that emphasize personal and familial well-being. We offer healthcare coverage for you and your family, including medical, dental, and vision. We offer parental leave, paid-time off and fully remote working arrangements.   - 401k matching - Competitive Equity - Healthcare, dental and vision coverage - FSA, ST/LT Disability, Voluntary Life - Carrot fertility benefits - 20 days paid vacation + 10 holidays + unlimited sick leave - 12 weeks fully paid parental leave - Fitness: Monthly stipend for gyms, yoga classes, race registrations or whatever keeps you active - Wellness: Monthly stipend for a massage, meditations class, therapy, or activities that enhance your well-being - Commuter benefits for hybrid employees in SF/NYC - Unlimited token usage! Please inquire directly with our recruiting team for benefits available to those working outside the US.   Equal Opportunity Employer WorkOS is an equal opportunity employer, committed to diversity and inclusiveness. We will consider all qualified applicants without regard to race, color, nationality, gender, gender identity or expression, sexual orientation, religion, disability or age. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Location: United States & Canada Workplace: Remote About WorkOS 🚀 WorkOS builds modern developer tools and APIs that make it easy for companies to become Enterprise Ready. Our platform powers authentication, identity, authorization, and other critical infrastructure that developers need to securely scale their products to large organizations. We recently raised a $100M Series C, valuing the company at $2B, led by Meritech and Sapphire with participation from Greenoaks, Craft, Abstract, and Audacious. WorkOS powers enterprise features for many of the fastest-growing AI companies, including OpenAI, Cursor, and Perplexity, Sierra, and Plaid. As AI reshapes software, WorkOS is at the frontier of Human and Agent Authentication, Identity, and Access Control helping companies answer a new critical question: who are your agents, and what are they allowed to do? Our fast-growing customer base includes hundreds of modern software companies building the next generation of enterprise-ready products.   About the role 💭 WorkOS builds tools for developers that unlock equal & accelerated access to the enterprise market. We’re growing rapidly and expanding our team of full-stack product engineers.   The Enterprise team develops products that enable companies to become 'enterprise-ready,' including SSO, Directory Sync, Audit Logs, and RBAC. These products are designed to be highly flexible and pluggable, meeting the demanding needs of enterprises while unifying fragmented admin ecosystems and workflows.   Our engineers are deeply committed to understanding our customers' challenges, actively seeking feedback and new perspectives to inform the products we build. We’re looking for engineers who are excited about turning complex ideas into reality, crafting elegant, user-friendly software with modern tools, and sharing our passion for simplifying the enterprise landscape. Responsibilities ✔️ - Design and engineer delightful developer and end-user experiences - Develop a deep understanding of evolving products (RBAC, FGA, Audit Logs) and increase its adoption - Develop a deep understanding of how diverse customer personas interact and integrate with our mature products (SSO, SCIM), and work to reduce friction points - Collaborate with other product teams, solutions engineering, and our go-to-market team - Map evolving technical risks/limitations to drive technical roadmap in collaboration with other engineering teams - Collaborate with other product teams, solutions engineering, and our go-to-market team - Work directly with leadership on greenfield ideas - Help recruit and assess future engineering team members Qualifications 🌟 - 5+ years of industry software development experience - Experience distilling complex, fragmented problem spaces into clean, simple architectures (ex: data models, robust state management) - Experience designing well-structured internal and external APIs that balance high scalability with an intuitive developer experience. - Skilled in collaborating with diverse customer personas and translating their needs into well-designed and prioritized action items. - Familiarity with working on small teams in fast-paced environments - Intellectually curious, independently driven, and passionate about great products - A growth mindset, high emotional intelligence, and strong communication skills - Bonus: Experienced with our stack of TypeScript, React, and Postgres - Bonus: Experienced in B2B SaaS, developer tools, or a related industry Benefits and Perks (US Only) 💖 At WorkOS, we offer resources that emphasize personal and familial well-being. We offer healthcare coverage for you and your family, including medical, dental, and vision. We offer parental leave, paid-time off and fully remote working arrangements.   - 401k matching - Competitive Equity - Healthcare, dental and vision coverage - FSA, ST/LT Disability, Voluntary Life - Carrot fertility benefits - 20 days paid vacation + 10 holidays + unlimited sick leave - 12 weeks fully paid parental leave - Fitness: Monthly stipend for gyms, yoga classes, race registrations or whatever keeps you active - Wellness: Monthly stipend for a massage, meditations class, therapy, or activities that enhance your well-being - Commuter benefits for hybrid employees in SF/NYC - Unlimited token usage! Please inquire directly with our recruiting team for benefits available to those working outside the US.   Equal Opportunity Employer WorkOS is an equal opportunity employer, committed to diversity and inclusiveness. We will consider all qualified applicants without regard to race, color, nationality, gender, gender identity or expression, sexual orientation, religion, disability or age. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Location: San Francisco Workplace: Hybrid About WorkOS 🚀 WorkOS builds modern developer tools and APIs that make it easy for companies to become Enterprise Ready. Our platform powers authentication, identity, authorization, and other critical infrastructure that developers need to securely scale their products to large organizations. We recently raised a $100M Series C, valuing the company at $2B, led by Meritech and Sapphire with participation from Greenoaks, Craft, Abstract, and Audacious. WorkOS powers enterprise features for many of the fastest-growing AI companies, including OpenAI, Cursor, and Perplexity, Sierra, and Plaid. As AI reshapes software, WorkOS is at the frontier of Human and Agent Authentication, Identity, and Access Control helping companies answer a new critical question: who are your agents, and what are they allowed to do? Our fast-growing customer base includes hundreds of modern software companies building the next generation of enterprise-ready products. About the role 💭 We’re hiring an experienced Engineering Manager to lead a team of engineers at WorkOS. We’re looking for a leader who is excited to manage engineers, but approaches the role as a startup founding member would. This role is ideal for someone with a builder’s DNA and you will play a key role in shaping product decisions, driving technical strategy, and empowering your team to execute on high-impact projects. You will also play a pivotal role in scaling the team, recruiting exceptional engineers. You’re not just excited about software—you’re obsessed with building the best developer platform. Responsibilities ✔️ - Build and lead high-velocity teams that ship product fast and with polish - Be deeply technical and hands-on: read the PRs, write prototypes, jump into the weeds - Take raw ideas and turn them into working systems, even if you have to duct tape the first version - Rally your team even when there is ambiguity, setbacks, or tough customer asks—run through walls when needed - Push for clarity, focus, and high energy in every sprint. Drive urgency without burning people out - Drive alignment on the roadmap and become an expert on customer needs related to the product areas your team owns - Spend time with customers and engineers alike—digging into pain points, testing assumptions, and improving the craft - Coach, mentor, and build a team of curious, scrappy, driven engineers—people who want to grow fast and build great things Qualifications 🌟 - Track record of having successfully led product-focused engineering teams in high-performing organizations that shipped real impact - You've written code at a high level, and you still love to get your hands dirty. You view leadership as an amplifier, not a step back - Bias for action and scrappiness: You don’t over-optimize for process. You optimize for velocity, customer value, and learning - You deeply care about the developer experience. You think about UX, APIs, performance, edge cases, and joy - You ask "why" obsessively, and you push yourself (and your team) to learn constantly - You build trust, give direct feedback, and create space for engineers to thrive - You have experience partnering with internal recruiting teams to drive effective and fair hiring processes. You realize that recruiting is a large (and important!) part of your role. A track record of recruiting, hiring, and mentoring top engineering talent. Benefits and Perks (US Only) 💖 At WorkOS, we offer resources that emphasize personal and familial well-being. We offer healthcare coverage for you and your family, including medical, dental, and vision. We offer parental leave, paid-time off and fully remote working arrangements.   - 401k matching - Competitive Equity - Healthcare, dental and vision coverage - FSA, ST/LT Disability, Voluntary Life - Carrot fertility benefits - 20 days paid vacation + 10 holidays + unlimited sick leave - 12 weeks fully paid parental leave - Fitness: Monthly stipend for gyms, yoga classes, race registrations or whatever keeps you active - Wellness: Monthly stipend for a massage, meditations class, therapy, or activities that enhance your well-being - Commuter benefits for hybrid employees in SF/NYC - Unlimited token usage! Please inquire directly with our recruiting team for benefits available to those working outside the US.   Equal Opportunity Employer WorkOS is an equal opportunity employer, committed to diversity and inclusiveness. We will consider all qualified applicants without regard to race, color, nationality, gender, gender identity or expression, sexual orientation, religion, disability or age. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Location: United States & Canada Workplace: Remote About WorkOS 🚀 WorkOS builds modern developer tools and APIs that make it easy for companies to become Enterprise Ready. Our platform powers authentication, identity, authorization, and other critical infrastructure that developers need to securely scale their products to large organizations. We recently raised a $100M Series C, valuing the company at $2B, led by Meritech and Sapphire with participation from Greenoaks, Craft, Abstract, and Audacious. WorkOS powers enterprise features for many of the fastest-growing AI companies, including OpenAI, Cursor, and Perplexity, Sierra, and Plaid. As AI reshapes software, WorkOS is at the frontier of Human and Agent Authentication, Identity, and Access Control helping companies answer a new critical question: who are your agents, and what are they allowed to do? Our fast-growing customer base includes hundreds of modern software companies building the next generation of enterprise-ready products. About the Site Reliability Engineering Team The Site Reliability Engineering (SRE) team ensures the WorkOS platform remains fast, reliable, and resilient at scale. We build the systems and practices that keep everything running smoothly—handling hundreds of millions of requests, minimizing downtime, and continuously improving service performance. Our team works across the stack and collaborates closely with infrastructure and product engineering teams. We embed reliability into everything we do—whether it’s designing scalable systems, improving observability, or leading incident response. If you’re motivated by complex systems, passionate about uptime and performance, and excited to make reliability a first-class concern—this role offers the opportunity to make a lasting impact. Who we’re looking for We’re looking for engineers who are excited to improve the reliability of complex systems and enjoy digging into how things work. As an early member of the SRE team, you’ll help shape our approach to reliability at scale and collaborate closely across the company. You might be a great fit if you: - Bring a generalist mindset and are comfortable working across infrastructure layers—from compute and networking to storage, databases, and app runtime environments - Are curious and proactive, with a strong desire to understand systems end-to-end and uncover hidden failure modes - Care deeply about uptime, observability, and performance, and see reliability as a product feature - Think through architectural trade-offs with reliability, simplicity, and maintainability in mind - Take initiative, work independently, and follow through—from identifying reliability risks to driving improvements - Collaborate well with engineers across disciplines and enjoy supporting teams through production readiness, incident response, and postmortem reviews Responsibilities ✔️ - Design and evolve the systems, tooling, and processes that improve the reliability and performance of WorkOS - Collaborate with product and infrastructure teams to ensure services are production-ready, observable, and resilient to failure - Define and measure SLIs/SLOs to guide reliability improvements - Write and optimize backend systems (in TypeScript) with a focus on performance, maintainability, and graceful degradation - Improve our incident response process, lead postmortems, and drive follow-through on reliability risks - Develop internal tools and automations that make it easier to operate and scale our systems - Participate in our on-call rotation—responding to, resolving, and learning from production incidents - Contribute to design and architecture discussions with a focus on operability and long-term sustainability - Document systems, share learnings, and help grow a reliability-minded engineering culture Qualifications 🌟 - Based in PST/PDT timezone - Experience operating and scaling production systems in cloud environments (we use AWS) - Familiarity with service reliability concepts—monitoring, alerting, incident response, and root cause analysis - Comfort working across infrastructure layers (e.g. compute, networking, storage, observability tooling) - Strong debugging and systems thinking skills—you can follow problems across services and layers - Ability to work independently, take ownership, and drive projects from problem discovery through resolution Nice to have - Familiarity with Kubernetes or similar orchestration systems - Exposure to observability stacks (e.g. Prometheus, Grafana, Datadog, OpenTelemetry) - Exposure to TypeScript or interest in working in a TypeScript-based codebase Benefits and Perks (US Only) 💖 At WorkOS, we offer resources that emphasize personal and familial well-being. We offer healthcare coverage for you and your family, including medical, dental, and vision. We offer parental leave, paid-time off and fully remote working arrangements.   - 401k matching - Competitive Equity - Healthcare, dental and vision coverage - FSA, ST/LT Disability, Voluntary Life - Carrot fertility benefits - 20 days paid vacation + 10 holidays + unlimited sick leave - 12 weeks fully paid parental leave - Fitness: Monthly stipend for gyms, yoga classes, race registrations or whatever keeps you active - Wellness: Monthly stipend for a massage, meditations class, therapy, or activities that enhance your well-being - Commuter benefits for hybrid employees in SF/NYC - Unlimited token usage! Please inquire directly with our recruiting team for benefits available to those working outside the US.   Equal Opportunity Employer WorkOS is an equal opportunity employer, committed to diversity and inclusiveness. We will consider all qualified applicants without regard to race, color, nationality, gender, gender identity or expression, sexual orientation, religion, disability or age. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Location: United States & Canada Workplace: Remote About WorkOS 🚀 WorkOS builds modern developer tools and APIs that make it easy for companies to become Enterprise Ready. Our platform powers authentication, identity, authorization, and other critical infrastructure that developers need to securely scale their products to large organizations. We recently raised a $100M Series C, valuing the company at $2B, led by Meritech and Sapphire with participation from Greenoaks, Craft, Abstract, and Audacious. WorkOS powers enterprise features for many of the fastest-growing AI companies, including OpenAI, Cursor, and Perplexity, Sierra, and Plaid. As AI reshapes software, WorkOS is at the frontier of Human and Agent Authentication, Identity, and Access Control helping companies answer a new critical question: who are your agents, and what are they allowed to do? Our fast-growing customer base includes hundreds of modern software companies building the next generation of enterprise-ready products. ABOUT THE ROLE 💭 The Platform team builds the shared backend components and development systems that every WorkOS product, workflow, and team member depends on. On the platform side, we build common backend capabilities used across WorkOS, including our events infrastructure, webhooks, email delivery, outbox-pattern queues, and more. These systems allow product teams to scale without rebuilding the same critical primitives. Because they sit on critical paths across our products, scalability, latency, consistency, reliability, and operational simplicity matter deeply. On the productivity side, we build the systems that take code from an idea to production, including CI/CD, build and test infrastructure, deployment workflows, and internal tooling. As agents play a larger role in software development and increase the volume of code and concurrent changes, we are rethinking this platform to scale with that volume through safe execution, fast feedback, relevant context, and verifiable outcomes. Our internal teams are our customers. Success means they can build and operate products faster, adopt shared capabilities instead of creating one-off solutions, and confidently delegate more work to agents. WHAT YOU’LL WORK ON ✔️ - Design, build, and operate high-throughput, low-latency shared backend systems that preserve consistency and durability through retries, duplicates, reordering, partial failures, and high concurrency - Create platform interfaces, abstractions, and paved paths with a clean developer experience that makes shared capabilities easy for product teams to adopt - Rotate across and embed with product teams to experience their workflows directly, understand their friction, and use those insights to shape platform investments - Map evolving product-team needs and collaborate with the Foundations team to introduce new systems and primitives, such as scalable search, database partitioning, and archival strategies - Own and evolve our CI/CD, build, test, deployment, and release infrastructure to shorten feedback loops and make production changes safer - Reimagine CI/CD for an agentic software development lifecycle by building isolated, reproducible, and verifiable execution environments, along with automated loops that allow agents to diagnose failures, update changes, rerun validation, and safely move work through review, deployment, and production verification - Instrument the entire software development lifecycle and use metrics such as feedback time, CI reliability, deployment frequency, lead time, and change failure rate to identify bottlenecks and verify that platform investments improve engineering outcomes - Own platform reliability end to end, including observability, capacity planning, incident response, root-cause analysis, and prevention - Shape the long-term platform strategy with a high bar for introducing new infrastructure. Thoroughly evaluate vendors and existing solutions, make deliberate build-versus-buy decisions, and account for operational complexity, lock-in, migration cost, reversibility, and long-term ownership WHAT WE’RE LOOKING FOR 🌟 - 8+ years of software development experience, with a track record of owning high-impact technical projects - Experience building and operating distributed systems or platform services at scale, with a strong understanding of event-driven systems, queues, concurrency, idempotency, consistency, backpressure, retries, and failure recovery - Experience building or operating CI/CD, build systems, test infrastructure, deployment platforms, or similar developer tooling - A track record of designing platforms, frameworks, and tooling with a clean developer experience that makes complex capabilities easy for other engineers to adopt and operate - Strong operational instincts across observability, capacity planning, incident response, and reliability - Hands-on experience with AI coding agents, or a strong interest in building agentic CI/CD systems, verifiable execution environments, automated feedback loops, evaluations, and verification - Exceptional pragmatism and technical judgment. You treat major infrastructure changes with the gravity they deserve and make deliberate, evidence-based decisions about when to build, buy, or improve an existing system - Ability to move between long-term architecture and hands-on implementation while making thoughtful tradeoffs in an ambiguous environment - Strong written and verbal communication skills, including experience documenting systems and influencing technical direction across teams - Familiarity with TypeScript, Node.js, React, Postgres, AWS, Terraform, and queueing or streaming systems such as SQS and Kinesis is helpful, but not required We expect strong depth in either distributed platform systems or developer infrastructure, along with an interest in working across both. Benefits and Perks (US Only) 💖 At WorkOS, we offer resources that emphasize personal and familial well-being. We offer healthcare coverage for you and your family, including medical, dental, and vision. We offer parental leave, paid-time off and fully remote working arrangements.   - 401k matching - Competitive Equity - Healthcare, dental and vision coverage - FSA, ST/LT Disability, Voluntary Life - Carrot fertility benefits - 20 days paid vacation + 10 holidays + unlimited sick leave - 12 weeks fully paid parental leave - Fitness: Monthly stipend for gyms, yoga classes, race registrations or whatever keeps you active - Wellness: Monthly stipend for a massage, meditations class, therapy, or activities that enhance your well-being - Commuter benefits for hybrid employees in SF/NYC - Unlimited token usage! Please inquire directly with our recruiting team for benefits available to those working outside the US.   Equal Opportunity Employer WorkOS is an equal opportunity employer, committed to diversity and inclusiveness. We will consider all qualified applicants without regard to race, color, nationality, gender, gender identity or expression, sexual orientation, religion, disability or age. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Location: United States & Canada Workplace: Remote About WorkOS 🚀 WorkOS builds modern developer tools and APIs that make it easy for companies to become Enterprise Ready. Our platform powers authentication, identity, authorization, and other critical infrastructure that developers need to securely scale their products to large organizations. We recently raised a $100M Series C, valuing the company at $2B, led by Meritech and Sapphire with participation from Greenoaks, Craft, Abstract, and Audacious. WorkOS powers enterprise features for many of the fastest-growing AI companies, including OpenAI, Cursor, and Perplexity, Sierra, and Plaid. As AI reshapes software, WorkOS is at the frontier of Human and Agent Authentication, Identity, and Access Control helping companies answer a new critical question: who are your agents, and what are they allowed to do? Our fast-growing customer base includes hundreds of modern software companies building the next generation of enterprise-ready products. About the role The AuthKit team is responsible for building AuthKit: a set of UI and APIs that enable B2B developers to solve identity and authentication. Our goal is to build the best possible developer and end-user experiences so customers can onboard seamlessly and kick-start their enterprise journey. AuthKit has seen strong adoption and is now relied upon as critical infrastructure by many of the fastest-growing AI and software companies. To support this scale, we're looking for product engineers who have experience scaling this type of infrastructure and who can drive application reliability, scalability, and performance. This role straddles product and platform, with each informing the other. Our engineers obsess over the developer experience, actively seeking out feedback and new perspectives to inform the products we build. We're searching for engineers who share this empathetic approach to solving problems. Successful candidates will love taking ideas from zero to one, creating beautiful software experiences with modern tools, and care deeply about creating the best possible products. Responsibilities - Design and engineer delightful developer and end-user experiences - Build a deep understanding of AuthKit's place in the market and increase its adoption - Drive application reliability, scalability, and performance for a product relied upon at scale - Accrete developer trust by serving a highly available, performant, and secure product - Speak with customers regularly to get feedback, debug issues, and remove points of friction - Collaborate with other product teams, solutions engineering, and our go-to-market team - Work across both product and platform, letting each inform the other - Work directly with leadership on greenfield ideas Qualifications - 5+ years of industry software development experience - Bachelors degree required - Experience working on small teams in fast-paced environments - Background in crafting both polished UI/UX and API services end-to-end - Intellectually curious, independently driven, and passionate about great products - A growth mindset, high emotional intelligence, and strong communication skills - Bonus: Experience with our stack of TypeScript, React, and Postgres - Bonus: Experience in B2B SaaS, developer tools, or a related industry Benefits and Perks (US Only) 💖 At WorkOS, we offer resources that emphasize personal and familial well-being. We offer healthcare coverage for you and your family, including medical, dental, and vision. We offer parental leave, paid-time off and fully remote working arrangements.   - 401k matching - Competitive Equity - Healthcare, dental and vision coverage - FSA, ST/LT Disability, Voluntary Life - Carrot fertility benefits - 20 days paid vacation + 10 holidays + unlimited sick leave - 12 weeks fully paid parental leave - Fitness: Monthly stipend for gyms, yoga classes, race registrations or whatever keeps you active - Wellness: Monthly stipend for a massage, meditations class, therapy, or activities that enhance your well-being - Commuter benefits for hybrid employees in SF/NYC - Unlimited token usage! Please inquire directly with our recruiting team for benefits available to those working outside the US.   Equal Opportunity Employer WorkOS is an equal opportunity employer, committed to diversity and inclusiveness. We will consider all qualified applicants without regard to race, color, nationality, gender, gender identity or expression, sexual orientation, religion, disability or age. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Location: Ukraine We are looking to hire passionate Senior AI Engineers to help turn data into intelligent, production-ready solutions. You will work across the full AI stack: traditional machine-learning models, large language models (LLMs), computer-vision pipelines, and analytics / forecasting workflows. If you enjoy exploring data, building state-of-the-art models, and shipping reliable AI services, we would love to meet you. Responsibilities Model Development – Design, train, fine-tune, and evaluate models spanning classical ML, deep learning (CNNs, transformers), and generative AI (LLMs, diffusion). Data Exploration & Analytics – Conduct exploratory data analysis, statistical testing, and time-series / forecasting to inform features, prompts, and business KPIs. End-to-End Pipelines – Build reproducible workflows for data ingestion, feature engineering / prompt stores, training, CI/CD, and automated monitoring. LLM & Agentic AI Engineering – Craft prompts, retrieval-augmented generation (RAG) pipelines, and autonomous/assistive agents; fine-tune LLMs on domain-specific datasets to boost accuracy and align outputs with product requirements. AI Automation & Integration – Expose AI components as micro-services and event-driven workflows; integrate with orchestration tools (Airflow, Prefect) and business APIs to automate decision pipelines. Continuous Learning – Track advances in LLMs, vision, and analytics; share insights and best practices with the wider engineering team. Mentor junior engineers and contribute to technical direction and engineering best practices. Requirements BSc in Computer Science, Mathematics, or related field. 5+ years of professional experience working on AI/ML projects. Good command of English (written and spoken). Proficient in Python and core libraries (PyTorch / TensorFlow, scikit-learn, pandas, NumPy). Solid understanding of machine-learning algorithms, deep-learning fundamentals, and basic statistics. Experience with data wrangling and visualization (Matplotlib / Plotly) and exploratory analysis. Familiarity with at least one of: OpenCV, Hugging Face Transformers, LangChain, MLflow, or similar. Good grasp of software-engineering best practices: Git, code reviews, testing, CI. Preferred Qualifications Knowledge of C++ or C# for performance-critical modules. Experience deploying models via Docker, Kubernetes, or cloud AI services. Exposure to vector databases and RAG workflows. Skill in BI / dashboard tools (Power BI, Tableau, Streamlit) or time-series frameworks (Prophet, statsmodels). Familiarity with MLOps / LLMOps tooling (DVC, MLflow Tracking, Weights & Biases, BentoML). Experience with image processing techniques (e.g., OpenCV, image segmentation, feature extraction) Experience with Spark (PySpark) and distributed data processing, including usage of platforms such as Databricks, AWS EMR, or GCP Dataproc. Strong SQL skills and experience working with large-scale datasets, including partitioning and performance tuning. Familiarity with modern data lake architectures and scalable data storage concepts.

Location: Riyadh, Saudi Arabia; Al Jubail, Saudi Arabia; Jeddah, Saudi Arabia The Design Engineering Manager will lead and manage multidisciplinary engineering design activities for petrochemical and oil & gas projects, with a strong focus on oil and gas separation systems . The role is responsible for overseeing design development across project phases, ensuring compliance with international standards, project specifications, and client requirements, while coordinating with EPC teams and stakeholders. This position is based in China. Key Responsibilities Lead and manage engineering design activities for petrochemical and oil & gas projects. Oversee design of oil & gas separation systems , including process facilities and related units. Manage multidisciplinary engineering teams (process, mechanical, piping, electrical, instrumentation). Review and approve engineering deliverables, calculations, drawings, and technical documents. Ensure engineering designs meet project scope, schedule, quality, and cost objectives. Coordinate with project management, procurement, construction, and commissioning teams. Interface with clients, licensors, vendors, and regulatory authorities. Ensure compliance with international codes, standards, and project specifications. Support technical issue resolution during engineering, procurement, and construction phases. Provide technical leadership, mentoring, and performance management for engineering teams. Educational Qualifications Bachelor’s Degree in Engineering (Mechanical, Chemical, or related discipline). Master’s degree is an advantage. Experience Requirements Minimum 15 years of engineering experience in petrochemical and oil & gas projects. Proven experience in oil & gas separation systems . Minimum 5 years in a Design Engineering Manager or Lead Engineering role . Strong EPC project experience.

Location: Dammam, Saudi Arabia; Al Jubail, Saudi Arabia; Riyadh, Saudi Arabia The Design Engineering Manager will lead and manage multidisciplinary engineering design activities for petrochemical and oil & gas projects, with a strong focus on oil and gas separation systems . The role is responsible for overseeing design development across project phases, ensuring compliance with international standards, project specifications, and client requirements, while coordinating with EPC teams and stakeholders. This position is based in China. Key Responsibilities Lead and manage engineering design activities for petrochemical and oil & gas projects. Oversee design of oil & gas separation systems , including process facilities and related units. Manage multidisciplinary engineering teams (process, mechanical, piping, electrical, instrumentation). Review and approve engineering deliverables, calculations, drawings, and technical documents. Ensure engineering designs meet project scope, schedule, quality, and cost objectives. Coordinate with project management, procurement, construction, and commissioning teams. Interface with clients, licensors, vendors, and regulatory authorities. Ensure compliance with international codes, standards, and project specifications. Support technical issue resolution during engineering, procurement, and construction phases. Provide technical leadership, mentoring, and performance management for engineering teams. Educational Qualifications Bachelor’s Degree in Engineering (Mechanical, Chemical, or related discipline). Master’s degree is an advantage. Experience Requirements Minimum 15 years of engineering experience in petrochemical and oil & gas projects. Proven experience in oil & gas separation systems . Minimum 5 years in a Design Engineering Manager or Lead Engineering role . Strong EPC project experience.

Location: Belgrade Perplexity is looking for a Search Machine Learning Engineer Intern to help build the next generation of advanced search technologies, with a focus on retrieval and ranking. You will work closely with experienced engineers to improve search quality, experiment with new models, and ship features that directly impact how users search and discover information. Internship program: 12 - 24 weeks, full-time, part-time, in-person in the Belgrade office. Responsibilities: - Contribute to experiments that improve search quality through better models, data usage, and evaluation tools, under the guidance of senior engineers. - Design and implement components of the search platform and model stack, including retrieval, ranking, and classification models. - Train evaluating models (including LLM-based approaches) for retrieval, ranking, and classification tasks. - Support deployment and monitoring of search and ranking models in a scalable and performant way. - Help build and iterate on RAG pipelines for grounding and answer generation. - Collaborate with Data, AI, Infrastructure and Product teams to deliver improvements quickly and learn best practices in production ML. Qualifications: - Strong foundation in machine learning and statistics, with coursework or projects related to information retrieval, ranking, or recommender systems. - Experience with Python and common ML frameworks (e.g. PyTorch, TensorFlow, JAX) through academic, open source, or personal projects. - Familiarity with evaluating model quality using offline metrics and/or A/B testing is a plus, but not required. - Previous experience (internships, research, or significant projects) working on search, recommendation, or NLP is a plus, but not required. - Self-driven and curious, with a strong sense of ownership, willingness to learn, and comfort working in a fast-paced environment - Experience with Rust will be a plus What we're looking for: - You’ve built something you’re proud of: Not just a class assignment - we want to see a project you genuinely cared about and took the initiative to build and finish. - You’re currently enrolled at a Serbian university: Bachelor’s, Master’s, or PhD program or you’re self-taught with a strong passion for software engineering and technology. - You’re curious, persistent, and self-driven: you take ownership, work through challenges, and follow through on what you start. - You’re eager to learn and improve: you’re willing to put in the work, develop your skills, and get better every week. - You’re comfortable working in English: in a collaborative, professional environment. - You thrive in a high-performance environment: you’re comfortable with high standards, direct feedback, and a fast pace. - You’re willing to challenge and be challenged: You’re comfortable asking questions, sharing your perspective, and pushing back constructively when it matters.

Location: San Francisco, CA | New York City, NY | Seattle, WA About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Claude App Infrastructure owns the reliability, experience, and agentic capabilities of claude.ai. We're the platform team for Anthropic's flagship consumer product, responsible for the serving architecture that keeps Claude available at scale, the conversation experience, and the infrastructure that lets every product team at Anthropic ship into claude.ai safely and fast. When the product grows at hyper scale, we're the team that makes sure it feels the same or better. Beyond the foundation, we're building the agentic layer that turns claude.ai from a chat surface into an execution surface: task execution, personalization, browser use, and server-side tools. This is where the next generation of the product gets built: the primitives that let Claude act in the world, not just respond. We believe reliability and velocity are the same problem, and our job is to build the systems that make both inevitable. Key responsibilities Design and build sandboxed compute environments where Claude can safely execute code, access tools, and interact with external services Build state management systems for long-running agent tasks, handling checkpoints, recovery, and resumption across failures Develop authentication and authorization frameworks for delegated access, so Claude can act on behalf of users securely Create observability and debugging tools for agent execution, so we understand what Claude did, why, and how to make it better Partner closely with product and research teams to define what's possible and ship it Minimum qualifications Experience building distributed systems, infrastructure, or platform services at scale Comfort building cloud native infrastructure on GCP, AWS, or Azure Experience with containers, sandboxing, or secure execution environments (e.g., gVisor, Firecracker, V8 isolates) Write clean, maintainable code in Python, Go, Rust, or a similar language Care about security, isolation, and building systems that fail safely Preferred qualifications Comfort with ambiguity and greenfield work where you help shape the architecture Interest in problems that don't have existing playbooks Experience building multi-tenant execution platforms or serverless infrastructure Background in security engineering, sandboxing, or isolation technologies Familiarity with workflow orchestration systems (Temporal, Airflow, Step Functions) Experience with state machines, checkpointing, or durable execution patterns Low-level systems experience (Linux internals, eBPF, container runtimes) The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $320,000 — $485,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: United States (Remote) Workplace: Remote ABOUT ONEPAY OnePay is the consumer fintech trusted by millions of Americans to make money better. Our financial system is broken. High fees, low rates, and too few ways to actually grow your money. We’re fixing it. And we’re moving fast. We’re an all-in-one financial services platform that brings together banking, high-yield savings, credit cards, point-of-sale lending, investing, and crypto in one place. We also partner with employers, HCM providers, gig platforms, and others to deliver embedded financial services to millions of employees and frontline workers. We’re backed by Walmart, the world’s largest retailer, and Ribbit Capital, one of fintech’s most respected investors, giving us rare scale, distribution, and the opportunity to build something truly category-defining. But what really sets OnePay apart is how we move. Our customers don’t have time to wait… and neither do we. This place moves fast, and we’re looking for people who are: - Ready to run - Hungry and driven by urgency - Exceptional at what they do, with low ego - Comfortable operating in motion THE ROLE As a Software Engineer at OnePay, your work will build the products & systems that serve our customers and run our company. You will play a crucial role in translating product visions into functional, high-quality applications and features. You will work closely with product managers, designers, and other engineers to deliver impactful solutions that enhance our customer's financial lives. You will: - Develop and implement new features, API's, and products. - Work closely with other engineers to ship code. We enjoy collaboration and partnering on hard problems.  - Architect and designing highly scalable and reliable products. - Building and maintaining documentation. As a growing and remote organization, having the necessary documentation is key to our success.  - Solve complex problems that arise at scale. We deal with real-world money movement and sensitive financial data at scale and are creating novel financial mechanics with no real precedent. YOU BRING - 5+ years of professional experience in product-facing backend development. - Strong track record of delivering high-impact features and products. - Experience building, maintaining, and optimizing API's. - Curiosity and passion for emerging AI tooling, with practical experience incorporating tools such as Cursor, GitHub Copilot, and Claude into real-world execution. - Drive and proactivity - everyone here is a builder and executor TOOLS WE USE We use Typescript front to back, with node and NestJS frameworks for server code and React Native for our iOS, Android, and Web clients. We run on a highly distributed cloud-native stack with Kubernetes and AWS, and scale and resiliency are at the heart of everything we build. We also embrace agentic development, so engineers have their choice of a variety of models and agent harnesses, including Claude Code, Cursor, Codex, and more to fit their workflow. While you don't need experience with our exact stack, familiarity with modern software engineering practices will help you ramp up quickly. WHAT WE OFFER - Competitive base salary, stock options, and health benefits from Day 1 - 401(k) plan with company match - Remote-friendly (US), flexible time off (FTO), and opportunities for growth - A high-growth, mission-driven, inclusive culture where your work has real impact STANDARD INTERVIEW PROCESS Our process varies by role. Most candidates go through: - AI-assisted initial screen - Interview with Talent Partner - Technical or Hiring Manager Interview - Team Interview - Executive Interview - Offer! EQUAL EMPLOYMENT OPPORTUNITY To build technology and products that are used and loved by people and solve real-world problems, we need to build a team with many different perspectives and experiences. We are an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. We encourage candidates from all backgrounds to apply. Applicants in need of special assistance or accommodation during the interview process or in accessing our website may contact us at talent@onepay.com.

Location: Kyiv Workplace: onsite Ajax Systems — міжнародна технологічна компанія і найбільший у Європі виробник охоронних систем.   Ми шукаємо нового гравця до Video Devices підрозділу на роль RF Engineer із розумінням принципів радіочастотного дизайну та інтеграції.   Video Devices підрозділ здійснює повний цикл розробки відеопристроїв Ajax, покриваючи усі етапи від створення концепту ідеї до запуску в серійне виробництво та подальшого масштабування. Команда фокусується на створенні комплексного продукту, що поєднує в собі механічне проєктування, розробку апаратної частини та інтеграцію низькорівневого програмного забезпечення для стабільної роботи систем у реальному часі. Процес розробки охоплює глибоку експертизу в оптиці, роботі з якістю зображення, вбудованих системах (embedded), Wi-Fi та мережевих технологіях, а також аудіо-тюнінгу. Дивізіон забезпечує повну вертикальну інтеграцію всіх компонентів пристрою, створюючи технологічно повноцінні рішення, що відповідають стандартам надійності екосистеми та вимогам глобального промислового виробництва. Вимоги: Досвід роботи: Мінімум 3+ роки на посаді RF-інженера або в суміжній галузі розробки бездротових систем. Multi-band Systems: Практичний досвід участі в розробці та оптимізації багатодіапазонних систем, що включають комбінації стандартів (наприклад, GSM/LTE, Wi-Fi 2.4/5 ГГц, Bluetooth та Sub-GHz технології, як-от LoRa/Zigbee). Wi-Fi Експертиза: Поглиблений досвід роботи з Wi-Fi стандартами 2.4 ГГц та 5 ГГц ( 802.11 a/b/g/n/ac/ax), включаючи: Дизайн та інтеграція антен: Вибір, розробка (моделювання) та оптимізація вбудованих антен (FPC, PCB, Ceramic). Перевірка та валідація: Тестування антен у безеховій камері (Anechoic Chamber) для оцінки ефективності (Efficiency), коефіцієнта посилення (Gain) та діаграм спрямованості (Pattern). RF-Інструментарій: Впевнене володіння та практичний досвід роботи з професійним ВЧ-обладнанням: Векторний аналізатор кіл (VNA) : для вимірювання S-параметрів (Return Loss, Insertion Loss). Аналізатор спектру (Spectrum Analyzer) : для оцінки параметрів передавача (TX Power, Spectrum Mask, EVM). RF-комунікаційний тестер (наприклад, Anritsu/Keysight) або Noise Figure Meter буде перевагою. CAD/Симуляція: Досвід роботи з потужними програмними комплексами для електромагнітного моделювання та дизайну схем: Keysight ADS, CST Studio, HFSS, або Cadence AWR (Microwave Office). Сертифікація та EMC/EMI: Досвід вирішення проблем Електромагнітної Сумісності (ЕМС) та Інтерференції (EMI) на рівні схеми та трасування. Розуміння вимог та практичний досвід проходження міжнародної сертифікації RED (CE) та FCC. Обов"язки: Інженер буде відповідальний за повний життєвий цикл ВЧ-частини продукту: від концепту до масового виробництва. Дизайн та Моделювання: Розробка, моделювання та фіналізація антен для серійних виробів із застосуванням EM-симуляторів (HFSS, CST). Узгодження та оптимізація ВЧ-трактів (Matching Networks) для мінімізації втрат та досягнення 50 Ом імпедансу. Вибір Компонентів та Оптимізація: Вибір найбільш оптимальних за ВЧ-параметрами та вартістю комплектуючих (RF-чіпсетів, фільтрів, PA, LNA) відповідно до технічного завдання. Підбір готових антенних рішень (модулів) під специфічні проектні вимоги. Тестування та Валідація: Проведення к омплексної перевірки параметрів ВЧ-систем (TX/RX performance) у власній та зовнішніх тестових лабораторіях. Аналіз та усунення причин невідповідності параметрів приймача/передавача вимогам стандартів. EMC/EMI та Сертифікація: Моделювання, верифікація та перевірка ЕМС/ЕМІ складних інтегрованих систем на етапах розробки. Консультація відділу сертифікації щодо ВЧ-вимог стандартів (RED, FCC), опрацювання відповідних нормативних документів та перевірка фінальних протоколів тестування. Підтримка Виробництва: Оптимізація існуючих ВЧ-рішень з метою зменшення Розробка та впровадження методів калібрування та тестування RF-параметрів на етапі масового виробництва Ми пропонуємо: можливість пропонувати та реалізовувати власні ідеї, які впливають на продукт та його масове виробництво місце у стрімко зростаючій компанії з вмотивованою професійною командою конкурентну заробітну плату медичне страхування корпоративні заняття з англійської мови можливість взяти участь у внутрішньому проєкті бета-тестування систем безпеки Ajax знижки від компаній-партнерів знижки на продукти компанії. Ajax Systems — це українська історія успіху, яка виросла в глобальний продукт. Пристроям Ajax довіряють уже понад 4,5 мільйони кінцевих користувачів і 330 тисяч PRO-користувачів у більш ніж 180 країнах. Компанія пропонує комплексні рішення для захисту житлових і комерційних об'єктів різного масштабу. Нині портфоліо Ajax налічує 280 пристроїв для захисту від вторгнення, відеоспостереження, пожежної безпеки та комфорту й автоматизації.

Location: Berlin, Germany Workplace: remote At TechBiz Global, we are providing recruitment service to our TOP clients from our portfolio. We are currently seeking an Senior/Leading Software Engineer specialist to join one of our clients ' teams. If you're looking for an exciting opportunity to grow in a innovative environment, this could be the perfect fit for you. Our client leverage AWS container technologies to build highly scalable, fault-tolerant microservices architecture. They utilize gRPC to design services that are fast enough for high-performance, create interfaces that can evolve over time without breaking existing components and reuse the same communications primitives across a broad platform. You will need to: Design flexible and extensible architectures for new features, components and services Develop new features and continue to improve existing ones Provide code review feedback to other software engineers, considering both style and implementation Improve client’s infrastructure built on AWS WHO WE ARE LOOKING FOR: High quality standards, self-initiative and willingness to take on responsibility More than 8 years of experience (as an orientation) High expertise in Golang and/or Node.js/Typescript Experience with React, Angular 2+ or similar frameworks Core frontend skills like HTML, CSS and Javascript Familiar with Docker, Jenkins, Microservices, MySQL, PostgreSQL Support a culture of knowledge sharing and software best practices Hands-on mentality and strong communication skills Comfortable working independently in a fast-paced environment with the ability to manage multiple projects simultaneously and prioritize effectively Team player and ‘can-do’ attitude and mentoring mindset towards fellow developers Interested in working cross-functionally with other teams Proficient skills in written and spoken English, ideally basic German Beneficial: Entrepreneurial thinking and interest in financial technology and insurances

Location: Austin, Texas, United States; Remote; Remote - Europe About Nebius: Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure. Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI. Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D. About the role: Token Factory is a part of  Nebius Cloud, one of the world’s largest GPU clouds, running tens of thousands of GPUs. We are building an inference platform that makes every kind of foundation model — text, vision, audio, and emerging multimodal architectures — fast, reliable, and effortless to deploy at massive scale. Responsibilities: Develop and optimize low-level kernels and runtime components for AI inference Improve performance of inference engines GPU platforms Profile and debug system-level and hardware-level performance issues Integrate support for new hardware architectures (Hopper, Blackwell , Rubin ) Collaborate with ML and backend teams to optimize end-to-end execution Required Qualifications: Strong proficiency in C++ , OR expertise in GPU programming with a focus on low-level high-performance coding and memory management Experience in GPU programming or systems-level software development , e.g. operating system internals, kernel modules, or device drivers Hands-on experience with profiling and debugging tools to identify performance issues on both CPUs and GPUs, and the ability to optimize code based on those findings. Solid understanding of CPU/GPU architecture and memory hierarchy Preferred Qualifications: Experience with GPU computing programming : CUDA, ROCm , CUTLASS, Cute, ThunderKittens , Triton, Pallas, Mosaic GPU Familiarity with ML inference runtimes (e.g. TensorRT , TVM) Knowledge of Linux internals, drivers, or compiler toolchains Experience with tools like perf, VTune , Nsight, or ROCm profiler Familiarity with popular inference engines (e.g. such as vLLM , sglang , TGI) We conduct coding interviews as part of the process. Benefits & Perks: Competitive compensation Career growth and learning opportunities Flexibility and ownership Collaborative and innovative culture Opportunity to work on impactful AI projects International environment and talented teams What's it like to work at Nebius: Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI Equal Opportunity Statement: Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law. Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire. If you need accommodations during the application process, please let us know.

Location: Riyadh, Saudi Arabia As a Linux Engineer specializing in Red Hat Satellite at Müller's Solutions, you will play a crucial role in the management and maintenance of our Linux environments, focusing primarily on Red Hat Enterprise Linux systems. Your expertise will help optimize system performance, ensure seamless updates, and enhance overall efficiency through automation and effective management of configurations. You will work closely with development and operations teams to implement best practices and drive innovations in our infrastructure, ensuring security, scalability, and high availability. Key Responsibilities: Deploy, manage, and maintain Red Hat Satellite instances for systems provisioning, configuration management, patching and monitoring. Automate repetitive tasks using scripting languages such as Bash or Python to enhance operational efficiency. Monitor system performance, perform routine upgrades, and troubleshoot issues related to RHEL systems. Implement and enforce best practices for security and compliance within Linux environments. Collaborate with cross-functional teams to identify opportunities for process improvements and automation. Document system configurations, procedures, and changes for future reference. Provide technical support and troubleshooting for Linux servers and related applications. Assist in the planning and execution of system upgrades, migrations, and new deployments. Requirements Requirements: Degree: Bachelor's degree in Computer Science, Information Technology, or a related discipline. Experience: 4-6 years of experience in Linux System Administration, specifically with Red Hat Enterprise Linux. Technical Skills: Proficiency in Red Hat Satellite for systems management, configuration, and automation. Strong knowledge of RHEL (versions 7, 8) including installation, configuration, and maintenance. Experience with scripting (Bash, Python) for automation purposes. Additional Skills: Familiarity with containerization technologies (Docker, Kubernetes) and cloud platforms (AWS, Azure). Knowledge of configuration management tools (e.g., Ansible, Puppet) is a plus. Analytical Skills: Strong problem-solving skills and the ability to troubleshoot complex issues in a timely manner. Collaboration Skills: Excellent communication skills for working with technical teams and presenting findings to stakeholders. Preferred Qualifications: Certifications such as Red Hat Certified Engineer (RHCE) or Red Hat Certified Specialist in Satellite Management are highly regarded. Experience with ITIL processes and methodologies. Familiarity with database management and monitoring tools. Ability to work in a fast-paced, team-oriented environment. Benefits Why Join Us: Opportunity to work with a talented and passionate team. Competitive salary and benefits package. Exciting projects and innovative work environment.

Location: Al Jubail, Saudi Arabia; Dammam, Saudi Arabia The Mechanical Engineer will support Oil & Gas EPC projects with a focus on construction management, ensuring compliance with project specifications, industry standards, and Saudi Aramco requirements. The role supports the Jafurah Project through effective technical coordination and professional representation. Key Responsibilities Provide mechanical engineering support across EPC phases, with emphasis on construction management. Review mechanical drawings, specifications, calculations, and vendor submittals. Support site construction, installation, and commissioning activities. Coordinate with engineering, procurement, QA/QC, and construction teams. Ensure compliance with project quality, schedule, and HSE requirements. Mandatory Requirements Bachelor’s Degree in Mechanical Engineering. Minimum 10 years of Oil & Gas experience as a Mechanical Static Engineer. EPC project experience (Engineering, Procurement, Construction). Strong construction management experience. Fluent in English (written and verbal). Preferred PMP certification. Location: Jafurah