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Location: United Kingdom Project Overview: At Flosum , we build the leading native DevOps, Release Management, and Data Backup solutions for the Salesforce ecosystem. While our core platform is native to Salesforce, we utilize a hyperscale, open-cloud architecture on AWS for key web applications and high-throughput background processing. We are looking for an expert Senior QA Automation Engineer to design, build, and maintain an end-to-end automated testing framework that bridges our AWS cloud web applications and our core Salesforce architecture. This is a mission-critical role where you will ensure the seamless, secure sync of enterprise DevOps data between cloud microservices and Salesforce metadata. What You Will Do: Design and implement an automated testing framework covering both our AWS-hosted web app and our connected Salesforce native workflows. Automate end-to-end user journeys that cross platforms (e.g., actions initiated in our cloud web UI that trigger deployments or metadata backups inside Salesforce). Create stable UI tests for Salesforce Lightning that resist dynamic ID changes and effectively handle Shadow DOM components (using UTAM, Playwright, or enterprise testing tools). Develop robust API automation suites to validate real-time data integrations, webhooks, and secure queues running between AWS and Salesforce. Integrate the automated test suites cleanly into modern Git-based CI/CD pipelines. Requirements Required Experience & Skills: 4+ years in QA Automation Engineering, specifically handling complex enterprise integrations. Deep Salesforce Expertise: Exceptional understanding of Salesforce Lightning architecture, metadata, security models, and developer workflows. Technical Stack: Proficient in code-first automation (Playwright, Cypress, Selenium) OR deep expertise in Salesforce-specific automated testing systems (Provar, ACCELQ, or UTAM framework). API & Database Testing: Expertise in REST API testing and a strong command of SOQL queries for direct Salesforce database verification. DevOps Mindset: Solid experience setting up automated test steps within CI/CD pipelines (GitHub Actions, GitLab, or cloud developer tools).

Location: Serbia Project Overview: At Flosum , we build the leading native DevOps, Release Management, and Data Backup solutions for the Salesforce ecosystem. While our core platform is native to Salesforce, we utilize a hyperscale, open-cloud architecture on AWS for key web applications and high-throughput background processing. We are looking for an expert Senior QA Automation Engineer to design, build, and maintain an end-to-end automated testing framework that bridges our AWS cloud web applications and our core Salesforce architecture. This is a mission-critical role where you will ensure the seamless, secure sync of enterprise DevOps data between cloud microservices and Salesforce metadata. What You Will Do: Design and implement an automated testing framework covering both our AWS-hosted web app and our connected Salesforce native workflows. Automate end-to-end user journeys that cross platforms (e.g., actions initiated in our cloud web UI that trigger deployments or metadata backups inside Salesforce). Create stable UI tests for Salesforce Lightning that resist dynamic ID changes and effectively handle Shadow DOM components (using UTAM, Playwright, or enterprise testing tools). Develop robust API automation suites to validate real-time data integrations, webhooks, and secure queues running between AWS and Salesforce. Integrate the automated test suites cleanly into modern Git-based CI/CD pipelines. Requirements Required Experience & Skills: 4+ years in QA Automation Engineering, specifically handling complex enterprise integrations. Deep Salesforce Expertise: Exceptional understanding of Salesforce Lightning architecture, metadata, security models, and developer workflows. Technical Stack: Proficient in code-first automation (Playwright, Cypress, Selenium) OR deep expertise in Salesforce-specific automated testing systems (Provar, ACCELQ, or UTAM framework). API & Database Testing: Expertise in REST API testing and a strong command of SOQL queries for direct Salesforce database verification. DevOps Mindset: Solid experience setting up automated test steps within CI/CD pipelines (GitHub Actions, GitLab, or cloud developer tools).

Location: Romania Project Overview: At Flosum , we build the leading native DevOps, Release Management, and Data Backup solutions for the Salesforce ecosystem. While our core platform is native to Salesforce, we utilize a hyperscale, open-cloud architecture on AWS for key web applications and high-throughput background processing. We are looking for an expert Senior QA Automation Engineer to design, build, and maintain an end-to-end automated testing framework that bridges our AWS cloud web applications and our core Salesforce architecture. This is a mission-critical role where you will ensure the seamless, secure sync of enterprise DevOps data between cloud microservices and Salesforce metadata. What You Will Do: Design and implement an automated testing framework covering both our AWS-hosted web app and our connected Salesforce native workflows. Automate end-to-end user journeys that cross platforms (e.g., actions initiated in our cloud web UI that trigger deployments or metadata backups inside Salesforce). Create stable UI tests for Salesforce Lightning that resist dynamic ID changes and effectively handle Shadow DOM components (using UTAM, Playwright, or enterprise testing tools). Develop robust API automation suites to validate real-time data integrations, webhooks, and secure queues running between AWS and Salesforce. Integrate the automated test suites cleanly into modern Git-based CI/CD pipelines. Requirements Required Experience & Skills: 4+ years in QA Automation Engineering, specifically handling complex enterprise integrations. Deep Salesforce Expertise: Exceptional understanding of Salesforce Lightning architecture, metadata, security models, and developer workflows. Technical Stack: Proficient in code-first automation (Playwright, Cypress, Selenium) OR deep expertise in Salesforce-specific automated testing systems (Provar, ACCELQ, or UTAM framework). API & Database Testing: Expertise in REST API testing and a strong command of SOQL queries for direct Salesforce database verification. DevOps Mindset: Solid experience setting up automated test steps within CI/CD pipelines (GitHub Actions, GitLab, or cloud developer tools).

Location: Portugal Project Overview: At Flosum , we build the leading native DevOps, Release Management, and Data Backup solutions for the Salesforce ecosystem. While our core platform is native to Salesforce, we utilize a hyperscale, open-cloud architecture on AWS for key web applications and high-throughput background processing. We are looking for an expert Senior QA Automation Engineer to design, build, and maintain an end-to-end automated testing framework that bridges our AWS cloud web applications and our core Salesforce architecture. This is a mission-critical role where you will ensure the seamless, secure sync of enterprise DevOps data between cloud microservices and Salesforce metadata. What You Will Do: Design and implement an automated testing framework covering both our AWS-hosted web app and our connected Salesforce native workflows. Automate end-to-end user journeys that cross platforms (e.g., actions initiated in our cloud web UI that trigger deployments or metadata backups inside Salesforce). Create stable UI tests for Salesforce Lightning that resist dynamic ID changes and effectively handle Shadow DOM components (using UTAM, Playwright, or enterprise testing tools). Develop robust API automation suites to validate real-time data integrations, webhooks, and secure queues running between AWS and Salesforce. Integrate the automated test suites cleanly into modern Git-based CI/CD pipelines. Requirements Required Experience & Skills: 4+ years in QA Automation Engineering, specifically handling complex enterprise integrations. Deep Salesforce Expertise: Exceptional understanding of Salesforce Lightning architecture, metadata, security models, and developer workflows. Technical Stack: Proficient in code-first automation (Playwright, Cypress, Selenium) OR deep expertise in Salesforce-specific automated testing systems (Provar, ACCELQ, or UTAM framework). API & Database Testing: Expertise in REST API testing and a strong command of SOQL queries for direct Salesforce database verification. DevOps Mindset: Solid experience setting up automated test steps within CI/CD pipelines (GitHub Actions, GitLab, or cloud developer tools).

Location: Poland Project Overview: At Flosum , we build the leading native DevOps, Release Management, and Data Backup solutions for the Salesforce ecosystem. While our core platform is native to Salesforce, we utilize a hyperscale, open-cloud architecture on AWS for key web applications and high-throughput background processing. We are looking for an expert Senior QA Automation Engineer to design, build, and maintain an end-to-end automated testing framework that bridges our AWS cloud web applications and our core Salesforce architecture. This is a mission-critical role where you will ensure the seamless, secure sync of enterprise DevOps data between cloud microservices and Salesforce metadata. What You Will Do: Design and implement an automated testing framework covering both our AWS-hosted web app and our connected Salesforce native workflows. Automate end-to-end user journeys that cross platforms (e.g., actions initiated in our cloud web UI that trigger deployments or metadata backups inside Salesforce). Create stable UI tests for Salesforce Lightning that resist dynamic ID changes and effectively handle Shadow DOM components (using UTAM, Playwright, or enterprise testing tools). Develop robust API automation suites to validate real-time data integrations, webhooks, and secure queues running between AWS and Salesforce. Integrate the automated test suites cleanly into modern Git-based CI/CD pipelines. Requirements Required Experience & Skills: 4+ years in QA Automation Engineering, specifically handling complex enterprise integrations. Deep Salesforce Expertise: Exceptional understanding of Salesforce Lightning architecture, metadata, security models, and developer workflows. Technical Stack: Proficient in code-first automation (Playwright, Cypress, Selenium) OR deep expertise in Salesforce-specific automated testing systems (Provar, ACCELQ, or UTAM framework). API & Database Testing: Expertise in REST API testing and a strong command of SOQL queries for direct Salesforce database verification. DevOps Mindset: Solid experience setting up automated test steps within CI/CD pipelines (GitHub Actions, GitLab, or cloud developer tools).

Location: Netherlands Project Overview: At Flosum , we build the leading native DevOps, Release Management, and Data Backup solutions for the Salesforce ecosystem. While our core platform is native to Salesforce, we utilize a hyperscale, open-cloud architecture on AWS for key web applications and high-throughput background processing. We are looking for an expert Senior QA Automation Engineer to design, build, and maintain an end-to-end automated testing framework that bridges our AWS cloud web applications and our core Salesforce architecture. This is a mission-critical role where you will ensure the seamless, secure sync of enterprise DevOps data between cloud microservices and Salesforce metadata. What You Will Do: Design and implement an automated testing framework covering both our AWS-hosted web app and our connected Salesforce native workflows. Automate end-to-end user journeys that cross platforms (e.g., actions initiated in our cloud web UI that trigger deployments or metadata backups inside Salesforce). Create stable UI tests for Salesforce Lightning that resist dynamic ID changes and effectively handle Shadow DOM components (using UTAM, Playwright, or enterprise testing tools). Develop robust API automation suites to validate real-time data integrations, webhooks, and secure queues running between AWS and Salesforce. Integrate the automated test suites cleanly into modern Git-based CI/CD pipelines. Requirements Required Experience & Skills: 4+ years in QA Automation Engineering, specifically handling complex enterprise integrations. Deep Salesforce Expertise: Exceptional understanding of Salesforce Lightning architecture, metadata, security models, and developer workflows. Technical Stack: Proficient in code-first automation (Playwright, Cypress, Selenium) OR deep expertise in Salesforce-specific automated testing systems (Provar, ACCELQ, or UTAM framework). API & Database Testing: Expertise in REST API testing and a strong command of SOQL queries for direct Salesforce database verification. DevOps Mindset: Solid experience setting up automated test steps within CI/CD pipelines (GitHub Actions, GitLab, or cloud developer tools).

Location: Belgium Project Overview: At Flosum , we build the leading native DevOps, Release Management, and Data Backup solutions for the Salesforce ecosystem. While our core platform is native to Salesforce, we utilize a hyperscale, open-cloud architecture on AWS for key web applications and high-throughput background processing. We are looking for an expert Senior QA Automation Engineer to design, build, and maintain an end-to-end automated testing framework that bridges our AWS cloud web applications and our core Salesforce architecture. This is a mission-critical role where you will ensure the seamless, secure sync of enterprise DevOps data between cloud microservices and Salesforce metadata. What You Will Do: Design and implement an automated testing framework covering both our AWS-hosted web app and our connected Salesforce native workflows. Automate end-to-end user journeys that cross platforms (e.g., actions initiated in our cloud web UI that trigger deployments or metadata backups inside Salesforce). Create stable UI tests for Salesforce Lightning that resist dynamic ID changes and effectively handle Shadow DOM components (using UTAM, Playwright, or enterprise testing tools). Develop robust API automation suites to validate real-time data integrations, webhooks, and secure queues running between AWS and Salesforce. Integrate the automated test suites cleanly into modern Git-based CI/CD pipelines. Requirements Required Experience & Skills: 4+ years in QA Automation Engineering, specifically handling complex enterprise integrations. Deep Salesforce Expertise: Exceptional understanding of Salesforce Lightning architecture, metadata, security models, and developer workflows. Technical Stack: Proficient in code-first automation (Playwright, Cypress, Selenium) OR deep expertise in Salesforce-specific automated testing systems (Provar, ACCELQ, or UTAM framework). API & Database Testing: Expertise in REST API testing and a strong command of SOQL queries for direct Salesforce database verification. DevOps Mindset: Solid experience setting up automated test steps within CI/CD pipelines (GitHub Actions, GitLab, or cloud developer tools).

Location: Belarus Project Overview: At Flosum , we build the leading native DevOps, Release Management, and Data Backup solutions for the Salesforce ecosystem. While our core platform is native to Salesforce, we utilize a hyperscale, open-cloud architecture on AWS for key web applications and high-throughput background processing. We are looking for an expert Senior QA Automation Engineer to design, build, and maintain an end-to-end automated testing framework that bridges our AWS cloud web applications and our core Salesforce architecture. This is a mission-critical role where you will ensure the seamless, secure sync of enterprise DevOps data between cloud microservices and Salesforce metadata. What You Will Do: Design and implement an automated testing framework covering both our AWS-hosted web app and our connected Salesforce native workflows. Automate end-to-end user journeys that cross platforms (e.g., actions initiated in our cloud web UI that trigger deployments or metadata backups inside Salesforce). Create stable UI tests for Salesforce Lightning that resist dynamic ID changes and effectively handle Shadow DOM components (using UTAM, Playwright, or enterprise testing tools). Develop robust API automation suites to validate real-time data integrations, webhooks, and secure queues running between AWS and Salesforce. Integrate the automated test suites cleanly into modern Git-based CI/CD pipelines. Requirements Required Experience & Skills: 4+ years in QA Automation Engineering, specifically handling complex enterprise integrations. Deep Salesforce Expertise: Exceptional understanding of Salesforce Lightning architecture, metadata, security models, and developer workflows. Technical Stack: Proficient in code-first automation (Playwright, Cypress, Selenium) OR deep expertise in Salesforce-specific automated testing systems (Provar, ACCELQ, or UTAM framework). API & Database Testing: Expertise in REST API testing and a strong command of SOQL queries for direct Salesforce database verification. DevOps Mindset: Solid experience setting up automated test steps within CI/CD pipelines (GitHub Actions, GitLab, or cloud developer tools).

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 Platform Engineer (AI & Automation) at OnePay, you are the technical force responsible for transforming AI strategy into production reality. You will embed within cross-functional teams to design, build, and deploy the agentic systems and intelligent tooling that automate complex workflows and 10X their impact. WHAT YOU’LL DO - Operate as an AI-native engineer, utilizing tools like Cursor and Claude Code to rapidly prototype, deploy, and ship production-grade AI agents and automation workflows that solve high-stakes business problems in cross-functional organizations. - Lead structured discovery sessions with business stakeholders and Subject Matter Experts to surface requirements, assess feasibility, and translate manual processes into clear, performant technical specifications and agentic architectures. - Build, maintain, and secure robust integrations between the core SaaS stack and custom AI services, instrumenting monitoring, guardrails, and evaluation frameworks to ensure all AI-driven workflows are accurate, compliant (including PII handling and audit logging), and resilient at scale. - Act as a technical force multiplier by empowering and educating internal partners to adopt AI-first mindsets, and create reusable playbooks, architecture decision records, and handoff documentation to enable teams to maintain and extend what you build. YOU BRING - 5+ years of professional engineering experience shipping production code to write clean, maintainable, and well-tested code. - Hands-on expertise with modern AI tooling, including LLM APIs, agent frameworks (LangGraph, Claude SDK), developer tools (Cursor/Claude Code), MCP server development, and familiarity with LLM evaluation techniques (prompt regression testing, human-in-the-loop review, and automated eval pipelines). - Systems integration experience, including a working knowledge of REST APIs, data pipelines (SQL), and cloud infrastructure (GCP/AWS). - A "Product Mindset"—proactively finding friction points, designing solutions, and presenting trade-offs to all audiences—along with the drive and proactivity to "walk across org lines" to get things done. 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: Remote (United States | Canada) Workplace: Remote 1Password is growing. We’ve surpassed $500M in ARR and we’re continuing to accelerate, earning a spot on the Forbes Cloud 100 for four years in a row and teaming up with iconic partners like Oracle Red Bull Racing. About 1Password At 1Password, we’re building the foundation for a safe, productive digital future. Our mission is to unleash employee productivity without compromising security by ensuring every identity is authentic, every application sign-in is secure, and every device is trusted. We innovated the market-leading enterprise password manager and pioneered Unified Access Management, a new cybersecurity category built for the way people and AI agents work today. As one of the most loved brands in cybersecurity, we take a human-centric approach in everything from product strategy to user experience. Over 180,000 businesses, from Fortune 100 leaders to the world’s most innovative AI companies, trust 1Password to help their teams securely adopt the SaaS and AI tools they need to do their best work. If you're excited about the opportunity to contribute to the digital safety of millions, to work alongside a team of curious, driven individuals, and to solve hard problems in a fast-paced, dynamic environment, then we want to hear from you. Come join us and help shape a safer, simpler digital future. As a Principal Solutions Engineer, Acceleration, you’ll help define how 1Password brings emerging technologies to market. Working across Product Management, Product Marketing, Enablement, Engineering, Sales, Customer Success, and strategic customers, you’ll validate new capabilities, shape product direction through field feedback, and turn what works into repeatable customer-facing motions. Your work will help customers adopt innovations that strengthen secure access for people, machines, and artificial intelligence (AI) agents while advancing 1Password’s mission to make secure access simpler. Reporting to the Vice President, Global Solutions Engineering, this remote role is open to candidates in the United States or Canada and may involve up to 30% travel. How we’re using AI today Across GTM, we’re transforming the way we work with AI. We expect every seller, CSM, and team member to become a power user, using it daily to work smarter and move faster. AI is already embedded in how we operate – from real-time coaching that sharpens how we sell and interact with customers, to surfacing insights that help us anticipate needs – creating more time for meaningful customer engagement. If you’re excited to reshape how you think, make decisions, and drive growth with AI, you’ll feel right at home here. This is a remote opportunity within Canada and the US. Note: All go-to market roles will have an in-person onboarding in Toronto. What we're looking for: - 8+ years of experience in customer-facing technical roles within enterprise Business-to-Business Software as a Service (B2B SaaS), including leading initiatives beyond an individual sales territory. - A track record of translating emerging technologies into customer value, repeatable field motions, and clear recommendations that shape product or go-to-market direction. - Experience partnering effectively with Product Management, Engineering, Product Marketing, and other cross-functional teams to validate capabilities and incorporate customer feedback. - Strong executive communication, storytelling, and presentation skills, with the ability to influence audiences ranging from technical practitioners to senior executives, analysts, and strategic partners. - Deep knowledge of modern identity architectures and developer or AI-powered workflows, including Open Authorization (OAuth), OpenID Connect (OIDC), System for Cross-domain Identity Management (SCIM), application programming interfaces (APIs), Model Context Protocol (MCP), continuous integration and continuous delivery (CI/CD), infrastructure automation, AI agents, and modern cloud platforms. - Experience with Metrics, Economic Buyer, Decision Criteria, Decision Process, Paper Process, Identify Pain, Champion, and Competition (MEDDPICC), or a similar enterprise sales methodology, along with the ability to work autonomously and influence without direct authority. Bonus points for: - Experience with private previews, beta programs, or early-stage products; technical enablement and customer-facing content; or domains such as Artificial Intelligence Security (AI Security), Developer Security, Privileged Access, Software as a Service (SaaS) Manager, or Unified Access Management is preferred. - A track record of public speaking, technical writing, podcasts, analyst engagements, or other forms of technical thought leadership is also valued. What you can expect: - Lead technical validation for emerging products, strategic initiatives, and incubating technologies from early development through general availability. - Partner with Product Management, Product Marketing, and Engineering to shape product direction and turn field feedback into actionable recommendations. - Build repeatable discovery frameworks, demonstrations, technical messaging, reference architectures, and implementation guidance for the global Solutions Engineering organization. - Design and deliver technical enablement, including workshops, labs, certifications, and playbooks that help Solutions Engineers confidently support new capabilities. - Lead strategic customer engagements, private previews, beta programs, and early-adopter initiatives, providing executive-level technical guidance and influencing customer outcomes. - Identify emerging market opportunities and represent 1Password through executive briefings, conferences, webinars, podcasts, customer events, and industry content. - Mentor Solutions Engineers and lead cross-functional initiatives that accelerate adoption, strengthen technical excellence, and scale what works across the organization. USA-based roles only: The annual base salary for this role is between $171,000 USD and $248,000 USD, and is commission-eligible. This role is also eligible for immediate participation in 1Password's benefits program (health, dental, 401k and many others), utilization of our generous paid time off, an equity grant and, where applicable, participation in our incentive programs. Canada-based roles only: The annual base salary for this role is between $170,000 CAD and $247,000 CAD, and is commission-eligible. This role is also eligible for immediate participation in 1Password’s generous benefits program (health, dental, RRSP and many others), utilization of our generous paid time off, an equity grant and, where applicable, participation in our incentive programs. At 1Password, we approach each individual's compensation with a promise of fair market value and internal equity commensurate with experience and specific skill set. This posting is for an existing vacancy. Our culture At 1Password, we prioritize collaboration, clear and transparent communication, receptiveness to feedback, and alignment with our core values: keep it simple, lead with honesty, and put people first. You’ll be part of a team that challenges the status quo, and is excited to experiment and iterate in search of the best solution. That said, 1Password is not for everyone https://blog.1password.com/inside-the-culture-powering-1passwords-next-chapter/. Our work is demanding, we strive for excellence, and the pace is fast. We need people who are keen to take on challenging problems, who seek feedback to grow, and who are driven to make an impact. If you're looking for a place where you can settle into a comfortable routine, this might not be the right fit for you. We’re looking for individuals who are proven experts in their fields, as well as those who are highly adaptable, can thrive in ambiguity and through change, are curious, and above all deliver results. How we work with AI We are committed to leveraging cutting-edge technology—including AI—to achieve our mission. We also understand that thinking critically about AI in its current forms will help us create better solutions for our customers and ourselves with its future forms, which will help us continue to close the gap between security and privacy and achieve our mission. We want team members at all levels to take the approach of actively learning AI best practices, identifying opportunities to apply AI in meaningful ways, and driving innovative solutions in their daily work. Embracing the future of AI isn't just encouraged—it's an essential part of how we will be successful at 1Password. This approach extends to our hiring process—candidates are welcome to use AI tools responsibly and thoughtfully during the application process. To us, this means we do ask that you join live interviews without using AI tools so we can get to know how you communicate, solve problems, and collaborate with others. Our approach to work We recognize the power of both in person collaboration and remote work. Some roles are designated as remote-first, with an expectation that individuals work from their homes majority of the time, while others are designated as in-office roles, with an expectation of being on-site on a regular basis. We recognize that certain roles benefit from regular, in-person connection to support collaboration, team cohesion, and customer engagement. For all roles, occasional travel may be required. This includes things like: department-wide offsites, quarterly department meetings and periodic customer events. These events are typically held in varying locations across Canada, USA and/or EMEA. In leadership roles, you can expect to travel once per month on average. Note: All go-to market roles will have an in-person onboarding in Toronto. What we offer We believe in working hard, and rewarding that hard work through our benefits. While not an exhaustive list, here is a glance at what we currently offer: Health and wellbeing 👶 Maternity and parental leave top-up programs 🩺 Competitive health benefits 🏝 Generous PTO policy Growth and future 📈 RSU program for most employees 💸 Retirement matching program 🔑 Free 1Password account Community 🤝 Paid volunteer days 🏆 Peer-to-peer recognition through Bonusly 🌎 Remote-first work environment *Some roles in our GTM team are currently being hired for in-person hybrid work in Toronto and Austin. These roles will specify on the posting. You belong here. 1Password is proud to be an equal opportunity employer. We are committed to fostering an inclusive, diverse and equitable workplace that is built on trust, support and respect. We welcome all individuals and do not discriminate on the basis of gender identity and expression, race, ethnicity, disability, sexual orientation, colour, religion, creed, gender, national origin, age, marital status, pregnancy, sex, citizenship, education, languages spoken or veteran status. Be yourself, find your people and share the things you love. Accommodation is available upon request at any point during our recruitment process. If you require an accommodation, please speak to your talent acquisition partner or email us at nextbit@agilebits.com and we’ll work to meet your needs. Remote work is a part of our DNA. Given that our company was founded remotely in 2005, we can safely say we're experts at building remote culture. That said, remote work at 1Password does mean working from your home country. If you've got questions or concerns about this, your talent partner would be happy to address them with you. Successful applicants will be required to complete a background check that may consist of prior employment verification, reference checks, education confirmation, criminal background, publicly available social media, credit history, or other information, as permitted by local law. 1Password uses artificial intelligence (AI) and machine learning (ML) technologies, including natural language processing and predictive analytics, to assist in the initial screening of employment applications and improve our recruitment process. See here https://www.ashbyhq.com/downloadables/ashby-bias-audit-08-2024.pdf for the latest third party bias audit information. If you prefer not to have your application assessed using AI/ML features, you may opt out by completing this form https://jobs.ashbyhq.com/1password/automation-notice. For additional information see our Candidate Privacy Notice https://1password.com/files/candidate-privacy-notice.pdf.

Location: London, England; Dublin Workplace: hybrid About us   Aave Labs began with a simple question: how do we make financial services like borrowing, saving, and earning more accessible globally?   We built the Aave Protocol, now the world’s largest and most trusted onchain lending market, connecting decentralized finance with individuals, traditional finance, and fintech.   Today, we build trusted, high-quality products that expand access to lending, credit, and savings globally   Our culture   We build trusted products that help people access and discover economic opportunities.   We hold a high bar for quality and craftsmanship. No detail is too small. Trust depends on it.   We’re a global team building products people can actually use, turning complex technology into something simple and reliable.   We stay aligned, move quickly, and think long term, while keeping teams lean and focused on impact.   About the Role We're hiring a Principal Backend Engineer to lead the engineering team behind Push, Aave Labs' regulated, non-custodial on-ramp and off-ramp. This is a hands-on technical leadership role spanning the systems that connect banking and open-banking partners, identity and compliance controls, payment processing, blockchain settlement, customer wallets, and the applications through which customers access Push. You'll set the technical direction for a high-stakes financial product where correctness, security, auditability, and operational resilience directly affect customer funds and regulatory obligations. Alongside designing and building critical systems, you'll provide day-to-day leadership to the engineering team, create clarity from product and regulatory requirements, and ensure the team can deliver safely at pace. How you can make an impact: Own the technical direction and architecture for Push across backend services, external integrations, data flows, and onchain settlement Translate product, regulatory, and operational requirements into a clear engineering roadmap, well-scoped projects, and sound technical decisions Design and build resilient services for on-ramp and off-ramp transaction lifecycles, including payment initiation, status tracking, settlement, exception handling, and customer notifications Lead integrations with open-banking, payments, identity, compliance, and blockchain infrastructure providers Define secure boundaries between fiat systems, non-custodial wallets, and onchain execution, ensuring sensitive data, permissions, and signing-related flows are handled appropriately Set and uphold standards for secure development, architecture review, testing, observability, incident response, deployment, and sustainable on-call ownership Partner closely with Product, Compliance, Legal, Security, Operations, Finance, and application engineers Remain hands-on in the codebase, particularly for complex architecture, high-risk changes, and critical production issues Let's connect if you have: 8+ years of backend engineering experience, including senior technical leadership of production systems and teams Experience designing distributed, event-driven systems that move or account for real money, with a strong understanding of failure modes and operational risk Experience with regulated financial products and understanding how to balance compliance and regulatory requirements with product features and goals Strong backend programming skills. Production experience with Rust is highly desirable; deep experience with Go, Java, C++ can substitute Strong knowledge of API design, PostgreSQL or another relational database, messaging systems, and service-to-service integration patterns Experience in regulated fintech, payments, banking, digital assets, or another environment requiring auditability, controls, and high availability Excellent system-design judgement, including migration strategy, build-versus-buy decisions, security boundaries, and the long-term operational cost of architecture choices A track record of leading engineers through ambiguous, high-impact work while remaining close to implementation and production operations Haven’t quite met all the criteria? Let’s not miss out on the chance to speak. Whilst you might not meet every single requirement, you might bring other, more exciting skills to the companies!   Equal opportunities statement:   Aave Labs celebrates diversity and views each and every team member as a separate individual with their own unique identity. No matter your race, religion, gender, ethnicity, age, disability, sexual orientation or even the wallet you use, we welcome you at Aave Labs. As an equal opportunities employer, we take accountability and believe in everyone's potential to build, create and inspire changes. With a mission to build a diverse workforce, we are proud to foster a working environment in which everyone can feel safe and valued for who they are.

Location: London, England; New York Workplace: hybrid About us   Aave Labs began with a simple question: how do we make financial services like borrowing, saving, and earning more accessible globally?   We built the Aave Protocol, now the world’s largest and most trusted onchain lending market, connecting decentralized finance with individuals, traditional finance, and fintech.   Today, we build trusted, high-quality products that expand access to lending, credit, and savings globally   Our culture   We build trusted products that help people access and discover economic opportunities.   We hold a high bar for quality and craftsmanship. No detail is too small. Trust depends on it.   We’re a global team building products people can actually use, turning complex technology into something simple and reliable.   We stay aligned, move quickly, and think long term, while keeping teams lean and focused on impact.   About the Role We're looking for a Senior React Native Engineer to build Aave App's Android and web experiences. You'll deliver secure, intuitive consumer savings journeys across platforms while working closely with design, product, backend, iOS, and protocol engineers. This role is focused on hands-on delivery and independent ownership of defined product areas. You'll take features from technical design through release, contribute to the shared application architecture, and ensure the experience remains polished, accessible, performant, and reliable across different devices and browsers. How you can make an impact: Develop and ship customer-facing features across the Android and web builds of Aave App using React Native, TypeScript, and React Build responsive, accessible interfaces and reusable components that behave consistently across devices, form factors and web surfaces Integrate consumer blockchain functionality such as wallet connectivity, transaction preparation and signing interfaces, onchain data reads, gas estimation, and transaction-status updates Work with backend and protocol engineers to integrate onchain and offchain data, savings and withdrawal flows, funding options, notifications, and analytics Write well-tested, maintainable code and contribute useful reviews that improve consistency without slowing delivery. Partner closely with design to deliver precise UI, refined interactions, and a cohesive cross-platform design system Let's connect if you have: 4+ years building consumer mobile or cross-platform applications, including strong production experience with React Native and TypeScript Deep React fundamentals with a strong focus on performance, including render cost and re-render behaviour, with experience using profiling and data-driven approaches to identify and resolve performance issues Hands-on experience with Reanimated and Gesture Handler, with fluency across the React Native toolchain, including Metro, Hermes, EAS, and native module integration and debugging A track record of shipping polished consumer experiences with close attention to UX, accessibility, and design detail Experience with secure storage, authentication, encryption, permissions, and sensitive user data on mobile devices Strong testing and debugging skills across unit, integration, end-to-end, device, and browser environments Haven’t quite met all the criteria? Let’s not miss out on the chance to speak. Whilst you might not meet every single requirement, you might bring other, more exciting skills to the companies!   Equal opportunities statement:   Aave Labs celebrates diversity and views each and every team member as a separate individual with their own unique identity. No matter your race, religion, gender, ethnicity, age, disability, sexual orientation or even the wallet you use, we welcome you at Aave Labs. As an equal opportunities employer, we take accountability and believe in everyone's potential to build, create and inspire changes. With a mission to build a diverse workforce, we are proud to foster a working environment in which everyone can feel safe and valued for who they are.

Location: San Francisco, CA 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: The Safeguards ML Inference Path team designs, builds, and operates the production infrastructure that powers Claude's ML based safety systems. We collaborate closely with safety researchers and inference engineers to bring new classifiers and novel classes of ML defenses to production. We own the research → production transfer of new safety technologies that is on the critical path for every Claude model launch. And we build for scale: serving thousands of ML classifiers, for all requests on the token generation path, and for every platform Claude runs on -- 1P, Bedrock, Vertex, and beyond. We’re growing the team and looking for engineers who have deep expertise in productionizing ML systems. You'll work at the intersection of machine learning, large-scale distributed systems, and AI safety, developing the platforms and tools that enable our safeguards to operate reliably at scale. And your tooling and infrastructure will be used for every model launch, which are becoming more complex, and more frequent. Responsibilities: Design and build scalable ML infrastructure to support real-time safety deployments across our classifier and model ecosystem Build monitoring and observability tools to track classifier performance, data quality, and system health for safety-critical applications Collaborate with research teams to productionize safety research, translating experimental safety techniques into robust, scalable systems Optimize inference latency and throughput for real-time safety evaluations while maintaining high reliability standards Implement automated testing, deployment, and rollback systems for ML models in production safety applications Partner with Safeguards, Security, and Alignment teams to understand requirements and deliver infrastructure that meets safety and production needs Contribute to the development of internal tools and frameworks that accelerate safety research and deployment You may be a good fit if you: Are proficient in Python and have experience with ML frameworks like PyTorch, TensorFlow, or JAX Understand distributed systems principles and have built systems that handle high-throughput, low-latency workloads Have built automated or self-service deployment pipelines and eval infrastructure allowing researchers to roll out classifiers and models independently Have implemented A/B testing frameworks and experimentation infrastructure for ML systems Are results-oriented, with a bias towards reliability and impact in safety-critical systems Enjoy collaborating with researchers and translating cutting-edge research into production systems Care deeply about AI safety and the societal impacts of your work Strong candidates may also have experience with: Have 5+ years of experience building production ML infrastructure, ideally in safety-critical domains like fraud detection, content moderation, or risk assessment Working with large language models and modern transformer architectures Developing monitoring and alerting systems for ML model performance and data drift Experience in trust & safety, fraud prevention, or content moderation domains Knowledge of privacy-preserving ML techniques and compliance requirements 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: San Francisco, CA 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: The Safeguards ML Sampling Path team builds and operates the production services that power Claude's safety systems. These services sit on the token generation path across every platform Claude runs on: every request must pass through them, and each millisecond of added latency is wait time for our users. You’ll keep p99 latency flat as traffic grows, build for robustness as dependencies time out or partially fail, and ship changes safely to a system that cannot go down. What you'll do: Design, build, and operate the backend systems that process every token on the generation path for Claude requests, including the streaming contract with the API and inference engines. Own latency and reliability end to end: define and maintain SLOs and error budgets for added latency, time-to-first-token, and availability, and lead incident response and postmortem follow-through. Ship changes to the hot path rapidly but safely — canaried and gradual rollouts, error budget and latency gating, fast rollbacks — and drive per-token performance: chase tail latency and keep cost flat as traffic, models, and checks per request grow. Set technical direction for the sampling path: lead design reviews, make latency, reliability, and cost trade-off calls with the inference and research teams, mentor engineers, and raise the operational bar for the wider Safeguards organization. You may be a good fit if you: Have designed, built, and operated high QPS systems at global scale, and were accountable for them in production: incident response, outages, and postmortem-driven remediation. Have a strong foundation in distributed systems: replication, consistency tradeoffs, failure modes, and SLO management under load. Design systems for graceful degradation: you plan for a slow dependency, a dropped stream, or a half-rolled-out deploy before it happens, and build so the system degrades predictably instead of failing. Have successfully shipped broad or all-encompassing changes to mission critical systems (e.g., database migrations, interface changes, rewrites). Strong candidates may also have: 8+ years of industry software engineering experience. Familiarity with LLM inference systems and transformer-based models (not required, but a plus). 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; Canada Workplace: Remote As a Senior Software Engineer at Coder, you’ll build and evolve the systems behind our agentic development experience. You’ll work across the agent harness, integrations, and workflows that connect agents with real development environments. You’ll stay hands-on, solve complex technical problems, and work closely with Product, Design, and other engineers to ship reliable agentic experiences.   What you’ll do here - Design and build production systems in Go, with work across React and TypeScript where needed. - Improve agent execution, tool use, context management, streaming, and long-running workflows. - Extend our provider-agnostic architecture as models and capabilities change. - Build reliable integrations between agents, workspaces, tools, and developer infrastructure. - Own projects from implementation through rollout and iteration. - Contribute to design reviews, code reviews, and technical discussions. - Partner with Product and Design to turn agent capabilities into useful developer experiences. - Improve the reliability, performance, and operability of agentic systems.   What we’re looking for - Strong experience building and operating production software systems. - Hands-on experience with Go. - Experience with React and TypeScript. - Experience building systems around LLMs or agentic workflows. - Familiarity with model APIs, tool calling, context management, or agent loops. - Good understanding of distributed systems and production reliability. - Working knowledge of AWS. - Strong problem-solving skills and comfort working through technical ambiguity. - Someone who contributes beyond their own code through reviews, collaboration, and knowledge sharing.   Bonus tacos if you have - Experience building coding agents, developer tools, or cloud development environments. - Experience with MCP, agent tools, or multi-agent systems. - Experience with remote execution, sandboxing, or isolated compute. - Experience building integrations across multiple model providers. - Experience with AWS, Kubernetes, Docker, or Linux. - Open-source contributions or experience working directly with customers.   Our tech stack - Backend: Go, Postgres - Frontend: TypeScript, React - Infrastructure: AWS, Kubernetes - Observability: Prometheus, Grafana - CI/CD: GitHub Actions   Coder’s agentic architecture is provider-agnostic. The foundation is built; this role helps extend it, improve it, and ship the next set of agentic capabilities. ABOUT CODER Coder is the leading platform for AI development Infrastructure, enabling enterprises to securely run human and AI-driven development workflows in consistent, governed environments. Coder provides self-hosted, agent-ready workspaces that unify developer productivity and platform governance. With Coder, enterprises can confidently evolve from human-only development to AI-assisted and autonomous workflows, without sacrificing security, compliance, or performance. Learn more at coder.com http://coder.com. INTERVIEW PROCESS  We believe that the interview process should be transparent, consistent, and enjoyable. We value your time and hope to complete the interview process in two to four weeks, if schedules allow. Through your interviews, you will meet a mix of individual contributors, managers, and senior leaders. AI USE DURING THE INTERVIEW PROCESS As an AI company, Coder embraces the use of AI tools, and we want to be transparent about our expectations as you navigate our interview process. Not permitted: Using AI assistance during conversational interviews. Permitted: Using AI tooling for take-home assessments. Please flag where and to what extent it was used in your take-home. Your submission will not be penalized for using AI as long as it is done honestly. OUR USE OF AI IN HIRING We use AI tools to help manage our recruitment process efficiently and fairly. Specifically: - Ashby and Brainerr help us review inbound applications by surfacing candidates who best match the role requirements we've defined. This tool does not make hiring decisions; it helps our team prioritize which applications to review first. - Granola takes notes during our interview calls so our team can focus on the conversation with you. All hiring decisions are made by humans. Our team reviews applications, conducts interviews, and makes final selections. AI tools assist us but never replace human judgment, and these practices are conducted in compliance with applicable data protection, AI governance, and labor laws. Your data is not used to train AI models. In accordance with New York City Local Law 144, an independent bias audit has been conducted on "Automated Employment Decision Tools"; results are available for Ashby https://www.ashbyhq.com/downloadables/ashby-bias-audit-08-2024.pdf. If you're applying for a role at Coder and have questions about how we use AI in our process, or if you'd like to request information about the data we collect, please contact careers@coder.com.   CODER IS A PROUD EQUAL OPPORTUNITY EMPLOYER We are committed to providing equal employment opportunities to qualified applicants and do not discriminate on the basis of race, color, ancestry, religion, sex, pregnancy, gender, gender identity, gender expression, sexual orientation, national origin, age, marital status, genetic information, disability, protected veteran status or any other characteristic protected by federal, state, or local laws.

Location: Remote, Canada; Remote, United States GitLab is the intelligent orchestration platform for DevSecOps. GitLab enables organizations to increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation. More than 50 million registered users and more than 50% of the Fortune 100* trust GitLab to ship better, more secure software faster. The same principles built into our products are reflected in how our team works: we embrace AI as a core productivity multiplier, with all team members expected to incorporate AI into their daily workflows to drive efficiency, innovation, and impact. GitLab is where careers accelerate, innovation flourishes, and every voice is valued. Our high-performance culture is driven by our values and continuous knowledge exchange, enabling our team members to reach their full potential while collaborating with industry leaders to solve complex problems. Co-create the future with us as we build technology that transforms how the world develops software. * Fortune 500® is a registered trademark of Fortune Media IP Limited, used under license. Claim based on GitLab data. Fortune 100 refers to the top 20% ranked companies in the 2025 Fortune 500 list, published in June 2025. Fortune and Fortune Media IP Limited are not affiliated with, and do not endorse products or services of GitLab. An overview of this role As a Senior or Staff Backend Engineer with the Database Excellence group , you'll build and evolve database automation and PostgreSQL as a service capabilities for GitLab. The level will be determined during the hiring process. You'll use Go to automate the full lifecycle of PostgreSQL across GitLab's infrastructure, making database operations safer, more consistent, and easier to scale for databases that sit behind high-throughput, always-on internet services. You'll work closely with partner teams to shape how GitLab provisions and manages PostgreSQL in a fully remote, highly collaborative environment. Some examples of our projects: SQL Traffic Replay Tooling , which validates upgrades and changes against real production workloads. PostgreSQL as a Service Platform , which provides standardized, automated provisioning and lifecycle management for internal product databases. PostgreSQL Major Version Upgrade Automation , which supports safe, repeatable major upgrades at GitLab.com scale. What you’ll do Design, build, and maintain Go-based automation that manages the full PostgreSQL lifecycle, including provisioning, configuration, upgrades, failover, scaling, and decommissioning, reducing reactive operational work that currently takes more than 80% of the team's time. Build automation that works across infrastructure-as-code tooling and cloud infrastructure, and evaluate operator-based approaches as the platform evolves. Use AI agents as a regular part of building and operating services, including implementation, review, and reducing repetitive work, while keeping the context agents need in the repository so the whole team can build on it. Build for internet scale by designing automation and services for high-throughput, always-on production workloads, where GitLab.com traffic sets the bar for correctness, latency, and availability. Integrate compute, storage, networking, identity and access management, and managed data services across cloud providers into one coherent PostgreSQL platform instead of creating bespoke setups for each database. Build GitLab's PostgreSQL as a service platform to replace bespoke database setups with standardized, automated provisioning and lifecycle management, so supporting more databases doesn't require growing the operations team at the same rate. Collaborate closely with product management, infrastructure, software delivery, and other engineering teams to design and ship high-performing solutions. Research, design, and implement improvements to PostgreSQL performance, scalability, and data health, helping maintain more than 8 months of operational runway for all critical database saturation points. Review database automation and Go changes from other engineers and contributors, with attention to safety, maintainability, and performance. Document automation practices, PostgreSQL operational patterns, and guidance that helps engineers use and contribute to the platform. Build safe, repeatable automation for PostgreSQL major version upgrades at GitLab.com scale, validating changes against real production traffic before rollout. Operate what you build in production from end to end, using production feedback to guide each iteration. What you’ll bring Professional software engineering experience working with PostgreSQL in large, complex production environments, including experience building or operating a database-as-a-service product. Proficiency with Go, including designing, implementing, testing, and reviewing backend services. Experience developing Kubernetes operators, controllers, or similar automation for the lifecycle of stateful services, especially databases. Kubernetes experience is one way to demonstrate this skill, but isn't required; comparable experience building database or infrastructure automation is welcome. Comfort with infrastructure as code and core database operations concepts such as high availability, replication, backups, and system-level performance trade-offs. Familiarity with Ruby is a plus but isn't required. Much of GitLab's application codebase uses Ruby on Rails, and being able to read it helps when designing automation that application teams depend on. We’ll expect you to become comfortable with it on the job, not on day one. Strong written communication skills and comfort working asynchronously in an all-remote, distributed team. Self-directed work style with effective organizational skills, the ability to manage priorities as a "manager of one," and alignment with GitLab's values of transparency, collaboration, inclusion, and open source contribution, as well as its operating principles . Ownership of the technical direction for a major initiative such as the PostgreSQL as a service platform, turning an ambiguous problem into an architecture and a sequenced plan that several engineers can execute in parallel. Influence beyond the team, setting the patterns other engineers follow, partnering with sibling database, infrastructure, and platform teams, and growing engineers through design reviews and mentorship. About the team The Database Excellence group keeps GitLab’s databases running reliably through proactive health management, operational excellence, and strategic enablement. We maintain operational runway by identifying and addressing saturation points, operate infrastructure through automated and scalable processes, and provide tools and frameworks that help teams build features sustainably. Our primary focus is GitLab.com, and we're expanding our scope to provide database health frameworks and tooling that benefit self-managed customers as well. The base salary range for this role’s listed level is currently for residents of the United States only. This range is intended to reflect the role's base salary rate in locations throughout the US. Grade level and salary ranges are determined through interviews and a review of education, experience, knowledge, skills, abilities of the applicant, equity with other team members, alignment with market data, and geographic location. The base salary range does not include any bonuses, equity, or benefits. See more information on our benefits and equity . Sales roles are also eligible for incentive pay targeted at up to 100% of the offered base salary. United States Salary Range $152,800 — $259,200 USD How GitLab Supports Full-Time Employees Benefits to support your health, finances, and well-being Flexible Paid Time Off Team Member Resource Groups Equity Compensation & Employee Stock Purchase Plan Growth and Development Fund Parental Leave Please note that we welcome interest from candidates with varying levels of experience; many successful candidates do not meet every single requirement. Additionally, studies have shown that people from underrepresented groups are less likely to apply to a job unless they meet every single qualification. If you're excited about this role, please apply and allow our recruiters to assess your application. Country Hiring Guidelines: GitLab hires new team members in countries around the world. All of our roles are remote, however some roles may carry specific location-based eligibility requirements. Our Talent Acquisition team can help answer any questions about location after starting the recruiting process. Privacy Policy: Please review our Recruitment Privacy Policy. Your privacy is important to us. GitLab is proud to be an equal opportunity workplace and is an affirmative action employer. GitLab’s policies and practices relating to recruitment, employment, career development and advancement, promotion, and retirement are based solely on merit, regardless of race, color, religion, ancestry, sex (including pregnancy, lactation, sexual orientation, gender identity, or gender expression), national origin, age, citizenship, marital status, mental or physical disability, genetic information (including family medical history), discharge status from the military, protected veteran status (which includes disabled veterans, recently separated veterans, active duty wartime or campaign badge veterans, and Armed Forces service medal veterans), or any other basis protected by law. GitLab will not tolerate discrimination or harassment based on any of these characteristics. See also GitLab’s EEO Policy and EEO is the Law . If you have a disability or special need that requires accommodation , please let us know during the recruiting process .

Location: The Netherlands; Portugal; United Kingdom; Spain; Germany Workplace: Remote NOTE: This position can be remote in any EMEA country ClickHouse has a hiring presence. We are hiring talented Full Stack Software Engineers for our Control Plane team. The team focuses on great user experience, seamless, automated, and scalable cloud infrastructure deployment, and lifecycle management. We build and maintain the Cloud Console—a sophisticated web application that lets users manage organizational resources such as database services and user access, run queries through a powerful SQL IDE, explore data with interactive dashboards, and monitor system performance. If you’re excited about creating robust cloud platforms, this team could be a great fit. What will you do? - Design and deliver a scalable, highly available, resilient, and secure cloud-base infrastructure. - Collaborate with cross-functional teams to define, design, and ship application features. - Ensure the performance, quality, and responsiveness of applications and infrastructure. - Identify and correct bottlenecks and fix bugs. - Help maintain code quality, organization, and automation. - Participate in code reviews and contribute to a culture of continuous improvement. About you: - 6+ years of software engineering experience, including 3+ years in cloud computing (AWS, Azure, or GCP) or platform engineering. - Strong proficiency in Typescript, Node.js and React. - Familiarity with RESTful APIs and JSON. - Understanding of fundamental design principles for scalable applications. - Proficient understanding of code versioning tools, such as Git. - Excellent communication and collaboration skills. Preferred Qualifications: - Experience with ClickHouse - Knowledge of CI/CD pipelines - Previous experience in developing analytics or data-intensive applications Nice to Have: - Experience with Auth0, or similar integrations - Monorepo experience (Yarn workspaces, TurboRepo, Nx) - Previous work on developer tools, IDEs, or BI platforms - WebSocket/real-time features PERKS - Flexible work environment - ClickHouse is a globally distributed company and remote-friendly. We currently operate in over 25 countries. - Healthcare - Employer contributions towards your healthcare. - Equity in the company - Every new team member who joins our company receives stock options. - Time off - Flexible time off in the US, generous entitlement in other countries. - A USD$500 Home office setup if you’re a remote employee. - Global Gatherings – We believe in the power of in-person connection and offer opportunities to engage with colleagues at company-wide offsites. CULTURE - WE ALL SHAPE IT As part of a rapidly scaling start-up, you will be instrumental in shaping our culture. Are you interested in finding out more about our culture? Learn more about our values here https://clickhouse.com/company/careers. Check out our blog posts https://clickhouse.com/blog or follow us on LinkedIn https://www.linkedin.com/company/clickhouseinc/life/0c1ee7f4-2129-488d-b413-e7f6270659fd/?viewAsMember=true to find out more about what’s happening at ClickHouse. EQUAL OPPORTUNITY & PRIVACY ClickHouse provides equal employment opportunities to all employees and applicants and prohibits discrimination and harassment of any type based on factors such as race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. Please see here https://clickhouse.com/legal/applicant-privacy-notice for our Privacy Statement.

Location: New York City, New York What you’ll be part of Garner is on a mission to transform the U.S. healthcare system — and we’re the only proven player doing exactly that. We partner with employers to redesign how healthcare works: applying 550+ proprietary clinical metrics across 80+ specialties to a dataset of 320M+ patients to identify the best-performing doctors, then using compelling incentives to steer members to the care that helps them get healthier, faster. The result is a rare “win win” — better care and lower costs for both members and employers. In just five years, our work has helped over 2.5 million people access higher-quality care and saved $1B in healthcare costs. We recently raised our Series E and have doubled five years running. If you've ever wanted your work to solve a problem that touches every person in this country, this is the opportunity to do exactly that. You'd be joining a team fundamentally reimagining healthcare in the U.S. — and using AI to scale that impact further and faster than anyone else can. About the role: We are seeking an execution-focused and visionary Data Engineering Manager to lead our Data Platform Team. In this critical role, you will manage a team of talented engineers dedicated to building the common, reusable abstractions and high-throughput data infrastructure that power Garner’s internal and external applications. You will champion an AI-native development philosophy and scale our data pipeline capabilities, ensuring our systems seamlessly support the heavy computational demands of our next phase of company-wide growth. Where you will work: This role will be based in our New York City office (in the Financial District). You must be willing to work in the office 3 days per week on Tuesday, Wednesday and Thursday. What you will do: Lead and manage the Data Platform Engineering team, owning the end-to-end design, implementation, and operational excellence of systems that process complex healthcare data Provide high-quality technical contributions and architectural guidance, establishing robust standards for data modeling, processing, and system maintainability Build and optimize common data abstractions, pipelines, and frameworks designed for high scalability, ensuring our platform keeps pace with exponential enterprise data growth Translate complex, ambiguous business and data requirements into well-scoped, accurately estimated, and composable architectural pieces Foster and drive an AI-native engineering culture within the team, integrating cutting-edge AI tools and integrations to enhance development workflows and automate data operations Manage and grow stakeholder relationships across Engineering and Product, aligning team priorities with departmental OKRs and broader business goals Mentor, coach, and guide your team members, conducting detailed design reviews and managing robust Root Cause Analyses (RCA) to continuously elevate technical rigor The ideal candidate has: 5+ years of hands-on engineering experience, with a focus on Big Data and distributed system and infrastructure 2+ years of managing engineering teams, with a track record of building and mentoring high performing teams Expertise with batch data processing frameworks such as Hadoop, Spark, EMR, etc. Experience with stream processing systems such as Kafka and RedPanda Proficiency with technologies such as Temporal, Apache iceberg, AWS glue, Spark, DBT, and Soda Exhibits strong ownership and a proactive mindset, with a proven ability to translate complex business needs into scalable, actionable technical roadmaps Demonstrated ability to operate effectively in dynamic, fast-paced startup environments, with a hands-on approach and a strong commitment to organizational success Preference for managing healthcare data standards (e.g. HIPAA, EDI) A desire to be a part of our mission to improve the U.S. healthcare system A desire to be a part of a high-performing, mission-driven team that operates with intense urgency, a strong sense of individual accountability, and a commitment to authentic feedback Technologies we use: Python, Spark, dbt, SnowFlake, Iceberg, Airflow, OpenMetadata, Kubernetes, NATS, AWS, Terraform, Claude Code This is a unique opportunity to join a fast-growing company in a transformative role, helping shape the future of healthcare. What you'll get here: You’ll work on problems that matter, at a company working to change healthcare at scale. You’ll work at the intersection of AI and systemic healthcare reform, where the problems we solve are as interesting and compelling as the mission. At Garner, you’ll take on real, ambitious problems with real ownership and autonomy, alongside exceptional, principles-based people who genuinely want you to win. It’s demanding by design. You’ll be challenged to stretch beyond what you thought possible and receive consistent coaching to help you grow and do the best work of your career. This isn't the right fit for everyone, and that's intentional. The people here are driven by what's at stake for real people, and that's what gives our intensity its purpose. Compensation Transparency: The target salary range for this position is $310,000 - $385,000. Individual compensation for this role will depend on various factors, including qualifications, skills, and applicable laws. In addition to base compensation, this role is eligible to participate in our equity incentive and competitive benefits plans, including but not limited to: flexible PTO, Medical/Dental/Vision plan options, 401(k), Teladoc Health and more. Fraud and Security Notice: Please be aware of recent job scam attempts. Our recruiters use getgarner.com and garnerhealth.com email domains exclusively. If you have been contacted by someone claiming to be a Garner recruiter or a hiring manager from a different domain about a potential job, please report it to law enforcement here and to candidateprotection@garnerhealth.com . Equal Employment Opportunity: Garner Health is proud to be an Equal Employment Opportunity employer and values diversity in the workplace. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. Garner Health is committed to providing accommodations for qualified individuals with disabilities in our recruiting process. If you need assistance or an accommodation due to a disability, you may contact us at talent@garnerhealth.com .