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Location: Spain (Remote) Grafana Labs is the company behind Grafana Cloud, the fully managed observability platform trusted by more than 10,000 organizations to ensure reliability, resolve incidents faster, and optimize telemetry at scale. Built on open source and open standards and designed for interoperability across any stack, Grafana Cloud brings AI to observability and observability to AI, giving teams (and their agents) unified visibility so they can see, understand, and act on all their disparate data, wherever it lives, and move at the speed of their ambitions. Customers, including Anthropic, Bloomberg, NVIDIA, Microsoft, and Salesforce, rely on Grafana Labs. We are a 100% remote company with team members across 40+ countries, backed by leading investors including Lightspeed Venture Partners, Sequoia Capital, GIC, Coatue, J.P. Morgan, CapitalG, and Lead Edge Capital. Learn more at grafana.com and follow us on LinkedIn and X . We’re scaling fast and staying true to what makes us different: an open-source legacy, a global collaborative culture, and a passion for meaningful work. Our team thrives in an innovation-driven environment where transparency, autonomy, and trust fuel everything we do. You may not meet every requirement, and that’s okay. If this role excites you, we’d love you to raise your hand for what could be a truly career-defining opportunity. This is a remote opportunity and we are looking for candidates from the UK, Sweden, Spain or Germany. About the role: Grafana Cloud runs Mimir, Loki, Tempo and Pyroscope as multi-tenant SaaS databases across AWS, GCP and Azure in regions worldwide. Our highest-SLA customers depend on them to run their businesses. We’re looking for a Staff Software Engineer to keep these systems reliable at scale. The role combines building and operating. You’ll write the software, automation and product changes that make our databases more reliable, including changes to the Mimir, Loki and Tempo codebases where reliability calls for it. You’ll also be on call for our highest-SLA customers and handle the operational work that comes with it. You’ll bring a production mindset to product engineering and engineering rigor to reliability, and you’ll set technical direction across squads. What You’ll Do Build reliability into the product. Write production code in our services, tooling and the Mimir, Loki and Tempo codebases that makes our databases more resilient, self-healing and scalable as demand grows quickly. Build automation and platform tooling that removes toil and scales our reliability practices across regions and cloud providers. Lead technical design. Author design docs, review others’ designs and PRs, and shape feature design so it’s scalable and operable from day one. Own the SLO framework. Define and evolve per-tenant SLOs and reliability models. Use SLO burn and incident learnings to find and fix the causes of failure in the systems themselves. Improve observability and alerting so we find problems before customers do, and so escalations are actionable rather than noisy. Be on call for our highest-SLA customers. Act as a technical escalation point for complex customer environments. Lead customer-impacting incident response, including customer bridge calls when needed, and write blameless post-incident reviews that lead to engineering fixes. Handle the operational work that comes from on-call. This includes investigating customer escalations, following up on incident actions, tuning capacity and configuration, and turning recurring issues into permanent fixes or automation. Multiply the team. Mentor engineers, teach reliability practices that teams adopt early in development, and work with engineering leadership on roadmaps and product strategy. We highly value those who are intellectually curious, who default to transparency, possess a high bias towards action, and who are also kind (this is important!) On-Call Weekday on-call is 12-hour shifts, Monday to Friday, split between North America and Europe so you cover your local working hours. Weekends are covered by a separate 24-hour rotation. You’ll take a weekend roughly once every six to eight weeks. What We’re Looking For: 8+ years of software engineering experience, including significant time building and owning distributed systems in production. Strong production software skills, ideally in at least one object-oriented language. You write clean, tested code and can make targeted changes in large open-source codebases you didn’t write. Deep understanding of distributed systems: performance, scaling and failure modes. You can reason about how a system will break before it does. Experience running multi-tenant systems at scale on Kubernetes in AWS, GCP or Azure, with infrastructure-as-code tools such as Terraform, Helm or Jsonnet. Hands-on experience designing and implementing SLOs. Experience being on call for production systems. You troubleshoot calmly and methodically under pressure, and you’ve taken part in blameless incident response and written high-quality post-incident reviews. Staff-level technical leadership: driving cross-team projects, setting technical direction and making the engineers around you better. Working knowledge of Linux internals, networking and cloud storage. Nice to Have: Experience with Mimir, Loki, Tempo, Pyroscope, Prometheus or other observability and time-series databases. Open-source contributions. Customer reliability engineering (CRE) or customer-facing escalation experience. In Spain, the Base compensation range for this role is € 96,846 - € 116,215 .  Actual compensation may vary based on level, experience, and skillset as assessed in the interview process. Benefits include equity, bonus (if applicable) and other benefits listed here . #LI-Remote #LI-Remote *Compensation ranges are country specific. If you are applying for this role from a different location than listed above, your recruiter will discuss your specific market’s defined pay range & benefits at the beginning of the process. Why You’ll Thrive at Grafana Labs: 100% Remote, Global Culture - As a remote-only company, we bring together talent from around the world, united by a culture of collaboration and shared purpose. Scaling Organization – Tackle meaningful work in a high-growth, ever-evolving environment. Transparent Communication – Expect open decision-making and regular company-wide updates. Innovation-Driven – Autonomy and support to ship great work and try new things. Open Source Roots – Built on community-driven values that shape how we work. Empowered Teams – High trust, low ego culture that values outcomes over optics. Career Growth Pathways – Defined opportunities to grow and develop your career. Approachable Leadership – Transparent execs who are involved, visible, and human. Passionate People – Join a team of smart, supportive folks who care deeply about what they do. In-Person onboarding - We want you to thrive from day 1 with your fellow new ‘Grafanistas’ to learn all about what we do and how we do it. Balance is Key - We operate a global annual leave policy of 30 days per annum. 3 days of your annual leave entitlement are reserved for Grafana Shutdown Days to allow the team to really disconnect. *We will comply with local legislation where applicable. Equal Opportunity Employer: Grafana Labs is an equal opportunities employer. We welcome applications from everyone regardless of race, colour, nationality, origin, caste, sex, gender reassignment identity or expression, sexual orientation, age, religion or belief, disability, veteran status, genetic information, pregnancy, maternity, marital, family or carer status, or any other characteristic which is protected by local law. We believe that equality and diversity build a strong organisation, and we work hard to ensure that is the foundation of our organisation as we grow. Grafana Labs may utilize AI tools in its recruitment process to assist in matching information provided in CVs to job postings. The recruitment team will continue to review inbound CVs manually to identify alignment with current openings. #LI-Remote For information about how your personal data is used once you’ve applied to a job, check out our privacy policy .

Location: United Kingdom (Remote) Grafana Labs is the company behind Grafana Cloud, the fully managed observability platform trusted by more than 10,000 organizations to ensure reliability, resolve incidents faster, and optimize telemetry at scale. Built on open source and open standards and designed for interoperability across any stack, Grafana Cloud brings AI to observability and observability to AI, giving teams (and their agents) unified visibility so they can see, understand, and act on all their disparate data, wherever it lives, and move at the speed of their ambitions. Customers, including Anthropic, Bloomberg, NVIDIA, Microsoft, and Salesforce, rely on Grafana Labs. We are a 100% remote company with team members across 40+ countries, backed by leading investors including Lightspeed Venture Partners, Sequoia Capital, GIC, Coatue, J.P. Morgan, CapitalG, and Lead Edge Capital. Learn more at grafana.com and follow us on LinkedIn and X . We’re scaling fast and staying true to what makes us different: an open-source legacy, a global collaborative culture, and a passion for meaningful work. Our team thrives in an innovation-driven environment where transparency, autonomy, and trust fuel everything we do. You may not meet every requirement, and that’s okay. If this role excites you, we’d love you to raise your hand for what could be a truly career-defining opportunity. This is a remote opportunity and we are looking for candidates from the UK, Sweden, Spain or Germany. About the role: Grafana Cloud runs Mimir, Loki, Tempo and Pyroscope as multi-tenant SaaS databases across AWS, GCP and Azure in regions worldwide. Our highest-SLA customers depend on them to run their businesses. We’re looking for a Staff Software Engineer to keep these systems reliable at scale. The role combines building and operating. You’ll write the software, automation and product changes that make our databases more reliable, including changes to the Mimir, Loki and Tempo codebases where reliability calls for it. You’ll also be on call for our highest-SLA customers and handle the operational work that comes with it. You’ll bring a production mindset to product engineering and engineering rigor to reliability, and you’ll set technical direction across squads. What You’ll Do Build reliability into the product. Write production code in our services, tooling and the Mimir, Loki and Tempo codebases that makes our databases more resilient, self-healing and scalable as demand grows quickly. Build automation and platform tooling that removes toil and scales our reliability practices across regions and cloud providers. Lead technical design. Author design docs, review others’ designs and PRs, and shape feature design so it’s scalable and operable from day one. Own the SLO framework. Define and evolve per-tenant SLOs and reliability models. Use SLO burn and incident learnings to find and fix the causes of failure in the systems themselves. Improve observability and alerting so we find problems before customers do, and so escalations are actionable rather than noisy. Be on call for our highest-SLA customers. Act as a technical escalation point for complex customer environments. Lead customer-impacting incident response, including customer bridge calls when needed, and write blameless post-incident reviews that lead to engineering fixes. Handle the operational work that comes from on-call. This includes investigating customer escalations, following up on incident actions, tuning capacity and configuration, and turning recurring issues into permanent fixes or automation. Multiply the team. Mentor engineers, teach reliability practices that teams adopt early in development, and work with engineering leadership on roadmaps and product strategy. We highly value those who are intellectually curious, who default to transparency, possess a high bias towards action, and who are also kind (this is important!) On-Call Weekday on-call is 12-hour shifts, Monday to Friday, split between North America and Europe so you cover your local working hours. Weekends are covered by a separate 24-hour rotation. You’ll take a weekend roughly once every six to eight weeks. What We’re Looking For: 8+ years of software engineering experience, including significant time building and owning distributed systems in production. Strong production software skills, ideally in at least one object-oriented language. You write clean, tested code and can make targeted changes in large open-source codebases you didn’t write. Deep understanding of distributed systems: performance, scaling and failure modes. You can reason about how a system will break before it does. Experience running multi-tenant systems at scale on Kubernetes in AWS, GCP or Azure, with infrastructure-as-code tools such as Terraform, Helm or Jsonnet. Hands-on experience designing and implementing SLOs. Experience being on call for production systems. You troubleshoot calmly and methodically under pressure, and you’ve taken part in blameless incident response and written high-quality post-incident reviews. Staff-level technical leadership: driving cross-team projects, setting technical direction and making the engineers around you better. Working knowledge of Linux internals, networking and cloud storage. Nice to Have: Experience with Mimir, Loki, Tempo, Pyroscope, Prometheus or other observability and time-series databases. Open-source contributions. Customer reliability engineering (CRE) or customer-facing escalation experience. In the UK, the Base compensation range for this role is £ 107,077 - £128,493 .  Actual compensation may vary based on level, experience, and skillset as assessed in the interview process. Benefits include equity, bonus (if applicable) and other benefits listed here . #LI-Remote #LI-Remote *Compensation ranges are country specific. If you are applying for this role from a different location than listed above, your recruiter will discuss your specific market’s defined pay range & benefits at the beginning of the process. Why You’ll Thrive at Grafana Labs: 100% Remote, Global Culture - As a remote-only company, we bring together talent from around the world, united by a culture of collaboration and shared purpose. Scaling Organization – Tackle meaningful work in a high-growth, ever-evolving environment. Transparent Communication – Expect open decision-making and regular company-wide updates. Innovation-Driven – Autonomy and support to ship great work and try new things. Open Source Roots – Built on community-driven values that shape how we work. Empowered Teams – High trust, low ego culture that values outcomes over optics. Career Growth Pathways – Defined opportunities to grow and develop your career. Approachable Leadership – Transparent execs who are involved, visible, and human. Passionate People – Join a team of smart, supportive folks who care deeply about what they do. In-Person onboarding - We want you to thrive from day 1 with your fellow new ‘Grafanistas’ to learn all about what we do and how we do it. Balance is Key - We operate a global annual leave policy of 30 days per annum. 3 days of your annual leave entitlement are reserved for Grafana Shutdown Days to allow the team to really disconnect. *We will comply with local legislation where applicable. Equal Opportunity Employer: Grafana Labs is an equal opportunities employer. We welcome applications from everyone regardless of race, colour, nationality, origin, caste, sex, gender reassignment identity or expression, sexual orientation, age, religion or belief, disability, veteran status, genetic information, pregnancy, maternity, marital, family or carer status, or any other characteristic which is protected by local law. We believe that equality and diversity build a strong organisation, and we work hard to ensure that is the foundation of our organisation as we grow. Grafana Labs may utilize AI tools in its recruitment process to assist in matching information provided in CVs to job postings. The recruitment team will continue to review inbound CVs manually to identify alignment with current openings. #LI-Remote For information about how your personal data is used once you’ve applied to a job, check out our privacy policy .

Location: Paris; London Workplace: Hybrid TL;DR: We're looking for a research scientist to build autonomous, large-scale environments that push LLM agents (single and multi-agent) to failure, and study how they actually break. About us White Circle http://whitecircle.com is an AI Safety company building the safety, reliability, and optimization layer for AI systems. At the core of our platform are policies – simple natural-language rules that define what an AI model should and shouldn’t do. We automatically test, enforce, and continuously improve these policies at scale. - We’ve recently raised our Series A funding round, taking our total funding to $70M. Our investors include top funds, founders, and senior leaders at OpenAI, Anthropic, HuggingFace, Mistral, DeepMind, Datadog, Sentry, and others - We process over 100M+ API calls every month - We fine-tune and train our own LLMs so they run faster and cheaper than any open or proprietary model We’re a small, highly focused team. If you want to work deeply on hard problems, see your work ship to production quickly, and influence how AI safety is actually built – you’re the one we need. About the team White Circle's fundamental research team works on the science of how AI systems fail: where agents break, why misalignment and unsafe behaviours emerge, and how to catch them before they reach the real world. We build the evals, benchmarks, environments, and tooling that empirically study the most pressing AI safety concerns — some of which become the guardrails shipped in our products, and some of which become public writeups. What you’ll do - Build adversarial environments for agents: complex, uncertain settings that sit on the boundary of agent capability and alignment, where failure is informative rather than trivial. - Build realistic multi-agent environments and instrument them so emergent breakdowns are observable — failures that arise from the agents themselves, not ones scripted from the outside. - Run experiments end to end, against external APIs and our own models, orchestrating many agents in parallel. - Catalogue concrete agent failure modes and build the tooling to surface them at scale. - Turn findings into internal models of agent behaviour and into public writeups. You’ll fit right in if you - Have built at least one non-trivial agent environment or automated research pipeline that ran end to end (single- or multi-agent), and can talk through what broke and why. - Have strong software and AI engineering skills. Can independently orchestrate many agents and containers in parallel without that orchestration being the bottleneck. - Have a track record of empirical research in agents, red-teaming, or post-training where you defined the question, ran it, and drew a defensible conclusion. - Are a fast empirical iterator who is comfortable defining the question when there's no playbook: can take a fuzzy concern ("do these agents collude under pressure?") and turn it into a concrete, falsifiable experiment. - Are an AI power-user — fluent with frontier models and coding agents in your daily work. A big plus - Published research at A* venues on automated red-teaming, agentic environments, or post-training. - Experience building monitoring for model failures and anomalous behaviour. - Experience reproducing public benchmark results and finding where the original methodology is fragile or misleading. - An MSc or PhD in machine learning, computer science, cognitive science, computational neuroscience, physics, or a related quantitative field. - AI safety fellowship (MATS, ASTRA, Anthropic Fellows, etc.), or a comparable self-directed research record. Compensation & benefits - Competitive compensation, including equity - Flexible time off - Office in central London/Paris with flexible hybrid setup - Relocation support if you’re moving to Paris, available after your probationary period - Premium private health insurance - Mental health support, including coverage for therapy when you need it - Lunch and dinner covered when you work from the office - Learning and development support for courses, conferences, and opportunities to grow your skills - All the hardware, subscriptions, tools, and services you need - Team off-sites twice a year: we’ve recently been to the Alps, Saint-Tropez, and Marbella Process 1. Intro call with Talent 2. Test assignment 3. Technical interview with Head of Fundamental Research 4. Final interview with CEO

Location: Paris; London Workplace: Hybrid TL;DR: We're looking for a research engineer to build and maintain our internal suite of benchmarks, covering single/multi-turn content and agentic guardrails. The research engineer would also work with the team on projects studying agent behaviours in the wild. About us White Circle http://whitecircle.com is an AI Safety company building the safety, reliability, and optimization layer for AI systems. At the core of our platform are policies – simple natural-language rules that define what an AI model should and shouldn’t do. We automatically test, enforce, and continuously improve these policies at scale. - We’ve recently raised our Series A funding round, taking our total funding to $70M. Our investors include top funds, founders, and senior leaders at OpenAI, Anthropic, HuggingFace, Mistral, DeepMind, Datadog, Sentry, and others - We process over 100M+ API calls every month - We fine-tune and train our own LLMs so they run faster and cheaper than any open or proprietary model We’re a small, highly focused team. If you want to work deeply on hard problems, see your work ship to production quickly, and influence how AI safety is actually built – you’re the one we need. About the team White Circle's fundamental research team works on the science of how AI systems fail in the real world: where agents break, how misalignment actually looks like to the end user, and how it is present in the model internals. We build the evals, benchmarks, environments, and tooling that empirically study high-impact agent reliability concerns — some of which become the guardrails shipped in our products, and some of which become public writeups. What you’ll do Own and maintain our internal benchmark suite, covering single/multi-turn content guardrails and agentic safety. - Build benchmarks that distinguish specific model capabilities. - Work with the product team to build evals covering core functionality of our flagship models. - Build benchmarks for new features coming out of the research team. - Adapt and extend evals to new verticals and changing product data. - Work on research projects that study and quantify realistic agentic and LLM failure modes in the wild. You’ll fit right in if you - Have built an LLM benchmark from scratch that distinguished specific model capabilities (i.e., produced a measurable, defensible capability difference, not just a score). - Have built synthetic data for post-training textual or multimodal models. - Can reproduce a published benchmark result and identify where the original methodology is fragile or misleading. - You write Python that other people can build on. Our whole stack is Python; we want someone who has shipped and maintained production code and who factors messy problems into clean abstractions others can extend. - You can write efficient LLM inference setups, including sensible orchestration of parallel calls, retries, rate-limit handling. - An AI power-user — fluent with frontier models and coding agents day to day. A big plus - Automated red-teaming experience - Have worked across a range of agentic scaffolds and reproduced public benchmark results on them - Strong knowledge of existing reward-model / monitoring / safety benchmarks - One or more published papers in the evals / safety-evaluation space Compensation & benefits - Competitive compensation, including equity - Flexible time off - Office in central London/Paris with flexible hybrid setup - Relocation support if you’re moving to Paris, available after your probationary period - Premium private health insurance - Mental health support, including coverage for therapy when you need it - Lunch and dinner covered when you work from the office - Learning and development support for courses, conferences, and opportunities to grow your skills - All the hardware, subscriptions, tools, and services you need - Team off-sites twice a year: we’ve recently been to the Alps, Saint-Tropez, and Marbella Process 1. Intro call with Talent 2. Test assignment 3. Technical interview with Head of Fundamental Research 4. Final interview with CEO

Location: Remote - United States Reddit is a community of communities. It’s built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet. Every day, Reddit users submit, vote, and comment on the topics they care most about. With 100,000+ active communities and approximately 130 million daily active unique visitors, Reddit is one of the internet’s largest sources of information. For more information, visit www.redditinc.com . Our mission is to bring community and belonging to everyone in the world. Reddit is a community of communities where people can dive into anything through experiences built around their interests, hobbies, and passions. With more than 50 million people visiting 100,000+ communities daily, it is home to the most open and authentic conversations on the internet. From pets to parenting, skincare to stocks, there’s a community for everybody on Reddit. For more information, visit redditinc.com . As a Staff Software Engineer within our SPACE org (Security, Privacy, Assurance, and Corporate Engineering), you will play a critical role on the Identity & Access Management (IAM) team. In this role, you will design, deliver, and support the lifecycle of digital identities, authentication, and access across Reddit. You will partner closely with cross-functional teams to build creative, scalable solutions that align with business priorities and strict regulatory standards. We operate in a dynamic, ambiguous problem space—meaning you’ll work across multiple domains and technology stacks to keep Reddit secure. Some of our present and future challenges include: Modernizing our identity infrastructure by replacing legacy systems with a tailored governance platform. Provide self-service identity management lifecycle and natural language explanation of existing systems in order to improve employee experience with security systems. Integrate Reddit’s corporate identity stack across a variety of protocols like SCIM and SAML, and across a variety of use cases (MCP and Agentic, resource automation that includes identity requirements) and increase Reddit’s maturity with “just-in-time” access and advanced identity constructs. What You'll Do: Engineering & Integration: Develop, scale and maintain Reddit’s core IAM internal identity capabilities, platforms and  infrastructure. Design and deploy high-quality API integrations and custom enterprise IGA connectivity solutions. Observability & Data Analytics: Build proactive monitoring frameworks, executive-friendly dashboards, and advanced alerting. Use synthetic transactions and anomaly detection to measure system availability (aiming for multiple 9s). Utilize identity data to track license utilization, aid in fiscal planning, and drive platform adoption. Process & Compliance: Create and maintain documentation, audit logs, and reports to continuously improve business processes and ensure seamless compliance execution. Operations & Support: Troubleshoot complex production incidents, analyze failure conditions, and perform root-cause analysis to support a 24x7 operation. Collaboration & Mentorship: Guide global, cross-functional partners on IAM best practices while raising the engineering bar through code reviews, technical standards, and optimized workflows. Technologies we use Our teams leverage a diverse and modern technology stack. While specific technologies may vary by team, we generally work with: Languages: Go, Python, Java, TypeScript, SQL Datastores: Postgres, Directory architectures (e.g., LDAP) Tools: Docker, Kubernetes, AWS, SailPoint, Okta What We are Looking For: Experience and Core Capabilities: 10+ years of backend development experience across multiple layers of the stack—from databases and networking to efficient computing. In-depth knowledge of corporate IAM experience covering the full workforce identity lifecycle (Joiner, Mover, Leaver, Access Requests, and Certifications). Ability to design and implement complex distributed systems operating under high load. Proficiency in our core stack: Go, Python, Java, or TypeScript, with a strong DevOps mindset and end-to-end code ownership (testing, monitoring, deploying, and maintaining). Deep understanding of modern authentication protocols (OAuth, OIDC, SAML) and secure-by-design principles. Hands-on familiarity with enterprise identity solutions including IGA, MFA, PAM / PIM, JIT and Directory architectures (e.g., Okta, LDAP, SailPoint). Governance and Compliance: Familiarity with governance and compliance frameworks (SOC2, SOX, PCI), including driving audit-related access certification reviews. Collaboration skills: Strong collaborative communicator thriving in Agile environments, with a continuous learning mindset and a resourceful, "can-do" approach to complex problem-solving. You embody our company value of Evolve: you view challenges as learning opportunities and continuously seek to improve. Benefits: Comprehensive Healthcare Benefits and Income Replacement Programs 401k with Employer Match Global Benefit programs that fit your lifestyle, from workspace to professional development to caregiving support Family Planning Support Gender-Affirming Care Mental Health & Coaching Benefits Flexible Vacation & Paid Volunteer Time Off Generous Paid Parental Leave Pay Transparency: This job posting may span more than one career level. In addition to base salary, this job is eligible to receive equity in the form of restricted stock units, and depending on the position offered, it may also be eligible to receive a commission. Additionally, Reddit offers a wide range of benefits to U.S.-based employees, including medical, dental, and vision insurance, 401(k) program with employer match, generous time off for vacation, and parental leave. To learn more, please visit https://www.redditinc.com/careers/ . To provide greater transparency to candidates, we share base salary ranges for all US-based job postings regardless of state. We set standard base pay ranges for all roles based on function, level, and country location, benchmarked against similar stage growth companies. Final offer amounts are determined by multiple factors including, skills, depth of work experience and relevant licenses/credentials, and may vary from the amounts listed below. The base salary range for this position is: $217,000 — $303,900 USD In select roles and locations, the interviews will be recorded, transcribed and summarized by artificial intelligence (AI). You will have the opportunity to opt out of recording, transcription and summarization prior to any scheduled interviews. During the interview, we will collect the following categories of personal information: Identifiers, Professional and Employment-Related Information, Sensory Information (audio/video recording), and any other categories of personal information you choose to share with us. We will use this information to evaluate your application for employment or an independent contractor role, as applicable.  We will not sell your personal information or disclose it to any third party for their marketing purposes.  We will delete any recording of your interview promptly after making a hiring decision.  For more information about how we will handle your personal information, including our retention of it, please refer to our Candidate Privacy Policy for Potential Employees and Contractors . Reddit is proud to be an equal opportunity employer, and is committed to building a workforce representative of the diverse communities we serve.  Reddit is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If, due to a disability, you need an accommodation during the interview process, please let your recruiter know.

Location: Remote We’re looking for a Systems Engineer to join our globally distributed Trading Infrastructure team. This is an end-to-end role: you will work on full-stack infrastructure tasks — from new site/provider setups and environment bring-up to validation testing, troubleshooting, and performance bottleneck analysis. You will collaborate closely with vendors, network and hardware engineers and take ownership of delivering reliable production-ready setups What You’ll be doing Deliver end-to-end infrastructure setups across regions/colocations: bring-up, validation, and go-live readiness Own the systems side of the stack: Linux servers, OS baseline, automation, configuration, and performance tuning Run and improve testing/validation: connectivity checks, load/performance tests, failure testing, and readiness checklists Participate in investigation of complex issues and bottlenecks across layers (OS/kernel/drivers/dependencies) and drive fixes with network/hardware peers and 3rd party vendors Build repeatable automation and rollout playbooks (Terraform/Ansible, scripting, standards) Improve observability: metrics/logs, dashboards, alert tuning, and latency/performance baselines Strengthen operations: runbooks, incident reviews (RCA), change hygiene, and documentation Participate in scheduled on-call rotations to support trading infrastructure and incident response. What we look for in you: Hands-on production experience with Linux and systems troubleshooting Ability to debug across layers and coordinate effectively with network/hardware engineers Solid networking fundamentals (TCP/IP, DNS, routing basics, MTU, packet loss/jitter symptoms) Automation mindset: bash/Python; Terraform/Ansible experience is a plus Strong written and verbal communication (clear status updates and documentation) Passion for technology and continuous learning Nice-to-Have: Low-latency / performance tuning experience (CPU/IRQ affinity, NIC tuning, etc.). Colocation / provider coordination experience (setups, acceptance, troubleshooting) Time synchronization basics (NTP/PTP) and practical impact on production systems Interest or experience in trading / exchange / broker connectivity Why should you join our team? Exciting challenges with ample opportunities for personal and professional growth A welcoming international team of highly qualified professionals Cutting-edge hardware and technology Work remotely from anywhere in the world Access any of our global offices anytime Flexible schedule 40 paid days off Competitive salary

Location: Colombia; Brazil; Argentina; Bolivia, Plurinational State of; Dominican Republic; Uruguay We are seeking an architect-level Automation Framework Engineer to design, build, scale, and maintain enterprise automation frameworks across UI, API, document, and integration-heavy workflows. This role will also support AI-assisted QA initiatives (E.g. test generation, pipeline support and failure analysis) The ideal candidate can speak to real-world examples of how they have designed frameworks for scale, security, and long-term stability as applications, teams, environments, and delivery pipelines evolve. Key Responsibilities Architect, build, and maintain scalable UI automation frameworks using Playwright and Selenium Design frameworks supporting multiple teams, applications, environments, and CI/CD pipelines Build reusable API and integration testing components (Postman, GraphQL, PactumJS, REST clients) Support document-heavy and compliance-driven workflows (disclosure validation, OCR, document intelligence) Implement automation observability: logging, diagnostics, flaky test detection, and trend reporting Support AI-assisted automation: test generation, regression optimization, and failure triage Requirements Required Experience Deep hands-on experience building and maintaining enterprise automation frameworks Advanced coding experience in TypeScript, JavaScript, or C# Strong experience with Playwright, Selenium, or similar automation tools Strong CI/CD experience, preferably with Azure DevOps Experience designing automation for distributed systems, APIs, integrations, and complex workflows Ability to explain real-world framework design decisions, tradeoffs, and long-term maintenance strategies Core Evaluation Areas Scale Candidates must explain how they designed automation frameworks that scaled across teams, applications, and environments. Examples may include scaling test execution across CI/CD pipelines, supporting multiple products from one framework, designing reusable components, and managing test data and environment configuration. Security Describe security practices when building frameworks: secure credential management, avoiding hardcoded secrets, role-based access, secure test data handling, pipeline security, and protection of sensitive data. Stability Explain how automation remained stable as applications evolved: reducing flaky tests, maintaining reusable selectors, versioning framework components, handling application changes without large rewrites, and separating true defects from automation failures. Nice-to-Haves Mortgage, lending, banking, or FinTech experience Experience with compliance-heavy or document-heavy workflows Experience with AI-assisted QA, Azure OpenAI, or Claude Experience with Azure Document Intelligence Experience optimizing regression test selection Candidate Screening Guidance As an architect-level automation professional, you will be expected to be able to walk us through your projects where you accomplished feats on building, scaling, securing, stabilizing integrating and maintaining automation frameworks. You will be considered a strong candidate if you are able to provide real-world examples of the aforementioned accomplishments.

Location: Mexico City Finance team: We are looking for a Treasury Back Office Senior Analyst for SPEI SPID that will be responsible for the administration, monitoring, and oversight of transactions processed through the Interbank Electronic Payment System (SPEI) and the Interbank Dollar Payment System (SPID), ensuring their proper execution, regulatory compliance, and operational efficiency. This role is critical to the security, continuity, and stability of the company's operations, guaranteeing 24/7 service availability in accordance with Banco de México Circulars 14/2017 and 4/2016. Challenges that await you: Monitor and process transactions through SPEI/SPID, ensuring efficient and timely execution. Validate and confirm transactions, identifying and resolving anomalies or processing failures. Perform daily operational reconciliation of transfer orders against accounting close records. Maintain continuous monitoring of SPEI transactions to prevent service disruptions and operational impacts. Efficiently execute SPEI alternative operation procedures in COA and POA environments. Participate in certification tests and industry-wide testing required by Banco de México (semiannual and extraordinary tests). Maintain updated and regularly tested business continuity and technology contingency plans. Coordinate with IT and Information Security departments to implement cyber resilience controls required under Circular 12/2023. Ensure compliance with SPEI regulations and applicable standards issued by Banco de México and the CNBV. What makes you a great fit: Bachelor's degree in Business Administration, Economics, Finance, Accounting, Systems Engineering, Information Technology, or a related field. Preferred: Diploma or certification in Payment Systems, Banking Treasury, or Regulatory Compliance. English: Intermediate level (ability to read and understand technical regulatory documentation in English). Spanish conversational level Minimum of 3 years of relevant experience in the operation, monitoring, or management of interbank electronic payment systems (SPEI, SPID, SIAC, COA, POA, or similar). Strong knowledge of SPEI operational platforms and payment engines; familiarity with the SAIF-Web platform is considered a plus. Regulatory framework expertise: Circular 14/2017 and its amendments, Circular 4/2016, and the Payment Systems Law. Strong analytical and problem-solving skills, with exceptional attention to detail. Ability to collaborate effectively with Technology, Compliance, and Operations teams. High level of accuracy and operational discipline in high-volume transactional environments. Nice to Have Experience with financial regulatory reporting, with practical knowledge of Banco de México reporting requirements, particularly: OCI Reports CVT Reports TENENCIA Reports CRI Reports Derivatives Operations Reports Our ways of working: Innovative Spirit: A commitment to creativity and groundbreaking solutions Honest Feedback: valuing open, transparent communication Supportive Team: a strong, collaborative community Celebrating Achievements: recognizing our wins together High-Tech Environment: a team full of smart and revolutionary people who date to challenge the status quo of incumbent finances

Location: United States, West Coast Who We Are! 🌍 Africa has the world’s youngest and fastest-growing population. By 2035, the continent is poised to contribute more young people to the global workforce each year than the rest of the world combined. At Educate! we're obsessed with impact. We leverage iterative learning to build highly scalable youth employment solutions aimed at unlocking the potential of the world’s youngest continent. Educate! prepares youth in Africa to learn, earn and thrive in today’s economy by: Introducing an employment-focused school subject into secondary and Delivering livelihood boot camps for out-of-school youth, with a focus on marginalized rural girls and young women. To date, more than 850,000+ young people have been meaningfully impacted across Uganda, Rwanda, Kenya, and Tanzania, driving positive outcomes on income, employment, gender equity, family planning and sexual and reproductive health, and educational attainment. Educate! is already East Africa’s largest employment and youth skills provider, and we’re on an exciting journey to impact millions more in the years ahead. Educate! is a team of over 300 largely African staff and 300 volunteer youth mentors. We prioritize building an engaging, fulfilling and growth oriented work environment. 50% of our top 30 leaders have been with us for over 5 years, 10+ alumni have started their own organizations, and 6 current or former team members were Acumen Fund East Africa fellows. We have been backed by top foundations such as Imaginable Futures , Livelihood Impact Fund ,  Jack Dorsey’s #startsmall , CIFF and Echidna Giving . Educate! won a 2018 Klaus J. Jacobs Prize and a 2015 WISE Award , and has been highlighted by the World Bank’s S4YE's Impact Portfolio , an Al Jazeera documentary , BBC , The Brookings Institution as one of 14 case studies on scaling education, and the Gates Foundation as a Goalkeepers Accelerator . In 2022, we received a catalytic investment from philanthropist Mackenzie Scott to scale our systems change work. Educate!'s long-term vision is to design solutions that measurably impact millions of youth across Africa each year. Good to note: To Our Awesome Applicants! 🚀💫 We know that incredible candidates sometimes hesitate to apply if they don’t meet every requirement. If this role excites you, we encourage you to apply! We’re looking for passionate individuals who believe in our mission and can bring unique perspectives to our team—not just those who check every box. We value diversity and strongly encourage women and individuals from all backgrounds to apply. Position Overview Over the past four years, Educate! has grown 3x — and we’re just getting started. With an ambitious goal of reaching $100M in revenue by 2035, we are building the team and infrastructure to match the scale of our vision. This is a rare opportunity to join a high-performing organization at a key inflection point. The Head of West Coast Philanthropy is a new and entrepreneurial role on Educate!’s revenue team — purpose-built to open a new channel of high-net-worth and technology-sector philanthropy across the West Coast of the United States. This is not a traditional fundraising role. Success here comes from understanding how influential communities form, building authentic trust with exceptional people, and creating pathways that connect founders, investors, operators, and next-generation philanthropists to Educate!’s mission and vision. We are looking for someone who is hungry and eager to build — not a board-level ambassador or established senior networker. The ideal candidate brings a commercial mindset, strong communication skills, and the credibility to operate independently within founder and tech ecosystems, including managing a ~10–11 hour time difference from our East Africa-based team. Over time, as this channel grows, so will your portfolio, revenue responsibility, and leadership opportunity within the organization. As Head, you will own the West Coast philanthropy channel end-to-end — setting segment strategy in consultation with the Director of Philanthropy and Global Director of Development and building the systems, and revenue base that let it scale. What You’ll Do🌟 Relationship Management & Portfolio Development (30%) Serve as Educate!’s primary point of contact for a new portfolio of high-net-worth individual donors, family offices, and tech-sector philanthropists on the US West Coast. Build trusted, long-term partnerships with founders, operators, AI and technology leaders, and next-generation philanthropists interested in global development and economic opportunity. Identify and develop new relationships with prospective supporters in founder, investor, effective altruism, and entrepreneurial ecosystems. Represent Educate! with professionalism, credibility, and warmth in external engagements, tailoring your approach to the audiences and communities you are building within. Accountable for the West Coast channel's revenue targets and growth trajectory. Manages the organization's highest-stakes West Coast funder relationships, escalating to the Director only when genuinely necessary. Maintain a deep understanding of partner priorities and proactively identify opportunities to align Educate!’s work with their interests and giving strategies. Network Development & Sourcing (25%) Map and engage relevant communities across the West Coast — including tech company ecosystems, AI labs, startup networks, EA communities, venture firms, and family offices. Proactively identify and pursue opportunities to introduce Educate! to new networks, communities, and potential champions. Build and maintain a robust pipeline of prospective partners, with clear strategies for progression and conversion. Collaborate with Educate!’s executive team and board members to leverage their networks and create warm introductions. Develop a repeatable sourcing process that can scale as the portfolio and channel grow. Convenings & Community Building (25%) Design and host intimate gatherings, dinners, learning sessions, and other experiences that bring exceptional people together around Educate!’s mission and vision. Create meaningful opportunities for prospective supporters to engage with Educate!’s work, evidence, and impact — connecting vision to action. Partner with Educate!’s program and communications teams to bring authentic stories and evidence to the communities you are building within. Build Educate!’s brand and credibility within West Coast philanthropic, tech, and founder communities. Identify and assess comparable organizations’ networks and pipelines as a source of potential candidates and champions. Strategic Execution & Communications (20%) Develop compelling pitches, one-pagers, and communications tailored to tech-sector and high-net-worth audiences, translating Educate!’s evidence and ambition into clear opportunities for partnership. Maintain organized pipeline tracking and provide regular reporting on relationship development, revenue progress, and network activity. Work closely with the broader development team to coordinate proposals, reporting, and stewardship for West Coast funders. Set 1–2 year strategy and goals for the channel in consultation with leadership — meaningful ownership of segment strategy, not just execution against a plan set by others. Proactively keep the Director/Global Director informed on key developments; bring fully-formed recommendations, not open problems, when escalation is needed. Who You Are 🦸‍♀️🦸‍♂️ This role is well-suited for a driven, commercially-minded professional with a track record of owning a portfolio, business line, or major relationship book independently — not just contributing to one. Typically 8–10+ years of relevant experience, though we care more about demonstrated ownership and scope than tenure. We are less interested in a specific career path than in your ability to build trust with influential people and turn relationships into meaningful partnerships. The ideal candidate brings: A strong ability to build and sustain relationships with influential people — you move comfortably in founder, investor, or operator circles and can engage credibly with people who build companies, back ideas, and make decisions quickly. A commercial mindset and pipeline orientation — whether from fundraising, partnerships, business development, venture, sales, or startup experience, you know how to build momentum and move opportunities forward. Strong communication skills — you can distill complex ideas clearly, tailor messages for different audiences, and inspire action through compelling storytelling and conversation. Data-driven thinking and intellectual credibility — you can engage substantively with Educate!’s evidence base, interpret impact data, and communicate it convincingly to analytically-minded audiences. An entrepreneurial approach — you are energized by operating with ownership and building a process where one does not yet exist. A self-directed working style, with the ability to operate independently across a significant time zone difference from the core team. Strong existing networks within West Coast technology, founder, or philanthropic communities is a significant advantage. Backgrounds that could be a strong fit include: Venture capital, startup ecosystems, or founder communities Strategic partnerships, business development, or enterprise sales Investor relations or capital raising Community building or ecosystem development Executive networking and relationship management, or chief-of-staff roles at tech companies Major gifts fundraising or philanthropy advisory Building or scaling organizations as a founder or early operator What We Offer Educate! is committed to paying market-based compensation for this role. This is our first hire in San Francisco and first hire specializing in High Net Worth giving, so we don't have a set salary band for this role or this location; we will be learning about the market through this hiring process. We will begin conversations about salary expectations early in the process, with the goal of respecting your time. If you are hesitant to apply without further information about salary, please reach out to alessandro@experienceeducate.org and share your LinkedIn profile; if you are a strong candidate based on your LinkedIn profile then someone will reach out to you for a quick conversation before you apply. This is a full-time position. A minimum two-year commitment is requested to best meet potential professional growth at Educate! and team needs. This role is based on the US West Coast (San Francisco Bay Area strongly preferred). You will operate with a high degree of independence, working remotely with strong support from Educate!’s global team. The primary team is based in East Africa (~10–11 hour time difference), and we are looking for someone who is self-directed, proactive, and comfortable managing their own workstreams across time zones. Our Culture & Tenets(Values) 🌱 We’re ambitious. Are you? Educate! is growing fast, so new opportunities are opening up and expanding all the time. We’re inspired by people with drive, and we love to help them reach their full potential. We expect everyone at Educate! to contribute above and beyond their job description, grow their skills, and advance their careers, and we are committed to supporting our staff members on that journey of their careers, and we are committed to supporting our staff members on that journey. We put Youth First, Impact-Obsessed - We are purpose-driven, focused on impact, and prioritize what truly matters. We listen to youth, design our efforts around their needs, and ensure every dollar creates transformative experiences they value. We Exceed Expectations - We take pride in going above and beyond to achieve the best results—proactively identifying problems and seeking solutions without waiting or stopping at what's requested. We Are Always Learning - We are committed to seeking and applying new knowledge and ideas. We stay open-minded and continuously try new things, experiment, grow, and improve. We invest in learning for ourselves and our teams. We are One Team, Many Views - We value all individuals, believe diverse ideas and open dialogue drive excellence, foster a supportive and respectful environment where everyone can freely express themselves. We work as one team and prioritize the organization's mission over personal or team interests. We have the Startup Mindset - We innovate relentlessly to grow our impact, we never think “we have arrived” or “we’re done.”We constantly challenge the status quo, embrace change, and move quickly toward our vision. Unafraid of failure, we question anything that hinders progress. Every person at Educate! — from interns to the executive director — is evaluated by how they live up to these five cultural tenets. They are at the core of how we achieve our mission and why we work as well as we do.  Educate is committed to providing an inclusive and welcoming environment for all who interact in our community. In creating this environment, we encourage people from a variety of cultures, backgrounds and life experiences to join our diverse team. We’re committed to ensuring all candidates are screened for child and youth safety . As part of the process, candidates must successfully complete our standard background verification and safeguarding review in accordance with local legal standards . Educate! reserves the right to withdraw an offer of employment if any screening results indicate potential risks to youth.

Location: Hybrid - San Francisco, New York City About Vercel: Vercel is the agentic infrastructure company, freeing people and agents to ship what's next. For more than a decade we've helped builders move from idea to production with speed, security, and exceptional developer experience. Now we're scaling our products for both agents and people to ship and run software, built in the open and trusted by OpenAI, PayPal, Ramp, Supreme, and millions of developers worldwide. About the role We are looking for a Security Software Engineer, IAM, to build identity and access management (IAM) infrastructure as software, not administer identity products, and this role suits a software engineer who has gone deep on identity or an IAM engineer with a strong engineering background. You will own identity and IAM end to end, replacing the approval queue with access that is self-serve, time-bound, and provable, built so identity is defined as code, reviewed in pull requests, deployed through CI, and observable in production, and you will help decide how agents act on behalf of users and systems. This is a hybrid role based in San Francisco or New York City, with three days a week in the office. What you’ll do Migrate Okta and related IAM configuration to Terraform so every identity change is reviewed, tested, and versioned, and help engineering teams adopt infrastructure as code Build a self-serve access platform, including just-in-time (JIT) access, that lets team and system owners define, request, and time-bound their own access Own provisioning, deprovisioning, and access review workflows that generate System and Organization Controls 2 (SOC 2) audit evidence automatically Unify corporate IAM (employee identity, SaaS access, devices) and production IAM (service accounts, infrastructure permissions, on-call access) into one identity plane, and enforce least-privilege access across cloud, SaaS, and production infrastructure Define and build how agents request and hold access, working with the Accounts team on product-facing identity What you need 7+ years building and owning identity, access management, or platform security systems, including IAM design across corporate (Okta or equivalent) and production (AWS or GCP) environments Built and operated production services or self-service platforms in TypeScript/Node.js, Go, or Python, including REST APIs Implemented OAuth2, OpenID Connect (OIDC), Security Assertion Markup Language (SAML), and System for Cross-domain Identity Management (SCIM) at the protocol level, including failure modes such as token replay and sync drift Managed IAM infrastructure as code in Terraform Bonus if you Led a Terraform migration for IAM or identity infrastructure at scale Designed or built a JIT access system or access governance platform Designed delegation or scoped-credential models for agents or service identities Compensation & Benefits: Competitive compensation package, including equity. Inclusive Healthcare Package. Learn and Grow - we provide mentorship and send you to events that help you build your network and skills. Flexible Time Off. We will provide you the gear you need to do your role, and a WFH budget for you to outfit your space as needed. The San Francisco, CA base pay range for this role is $208,000 - $312,000. Actual salary will be based on job-related skills, experience, and location. Compensation outside of San Francisco may be adjusted based on employee location. The total compensation package may include benefits, equity-based compensation, and eligibility for a company bonus or variable pay program depending on the role. Your recruiter can share more details during the hiring process. Disclosures: Privacy: Please review our Job Applicant Privacy Policy for more information on how we handle your data. Equal Opportunity: Vercel is committed to fostering and empowering an inclusive community within our organization. We do not discriminate on the basis of race, religion, color, gender expression or identity, sexual orientation, national origin, citizenship, age, marital status, veteran status, disability status, or any other characteristic protected by law. Vercel encourages everyone to apply for our available positions, even if they don't necessarily check every box on the job description.

Location: Turkey Workplace: Remote fal is the generative media ecosystem powering the next generation of AI products. We build the infrastructure, tools, and model access that teams need to move from idea to production, and do it at scale without compromise. For developers and enterprises, fal is the foundation that makes generative media not just possible, but practical: a unified platform where high-performance inference, orchestration, and observability come together to unlock new categories of AI-native products. As generative media reshapes industries across a market projected to grow by hundreds of billions over the next decade, fal is becoming the ecosystem that ambitious teams build on. ABOUT THIS ROLE: This is a hybrid ML Engineering / Site Reliability Engineering role. You will own the reliability, security, and safety of fal's fleet of generative media model APIs, the production endpoints that thousands of developers and enterprises depend on every day. Your mission is simple to state and hard to do: keep a large, fast-moving fleet of image, video, and audio model APIs available, performant, secure, and safe at all times. You understand both how generative models work and how production systems fail. You're as comfortable debugging a misbehaving diffusion pipeline as you are tracing a latency regression through an inference stack, and you treat model-specific failure modes; degraded output quality, drift, unsafe generations, abuse patterns; as first-class reliability concerns alongside uptime and latency. This role will need to be based in Turkey. What you'll do - Own availability, latency, and throughput SLOs across a large fleet of generative media model APIs serving production traffic at scale - Build the monitoring, alerting, and observability needed to catch ML-specific failures, output quality degradation, pipeline breakage, model regressions before customers do - Harden model deployment workflows with canary releases, shadow testing, automated rollbacks, and validation gates so new model versions ship safely - Drive the security posture of the model fleet: secure model serving, abuse and misuse detection, rate limiting, and protection against adversarial usage patterns - Operationalize safety systems for generative media, content moderation pipelines, safety classifiers, and guardrails that run reliably at inference time without compromising performance - Lead incident response for model API outages and degradations, run postmortems, and drive the engineering work that prevents recurrence - Improve capacity planning, autoscaling, and GPU fleet efficiency for inference workloads under highly variable traffic - Partner with model and infrastructure teams to make reliability, security, and safety requirements part of how new models get onboarded to the platform - You will have access to our massive GPU cluster for inference and evaluation Qualifications/Nice to have: - 5+ years of professional experience, with 2 year experience operating production ML or high-scale API systems, ideally with on-call ownership - Experience working with and supporting diffusion models in production - Strong systems fundamentals: distributed systems, networking, observability, and incident management - Working knowledge of modern generative models (diffusion, transformers) and their failure modes in production - Familiarity with security and safety practices for ML systems ,abuse prevention, content safety, or trust & safety engineering experience is a strong plus - A bias toward automation, measurement, and blameless postmortems - Core technologies we use include Python, torch, diffusers, Kubernetes, and the fal Python SDK - You'll work alongside a team dedicated to quickly iterating on and deploying new AI breakthroughs — your job is to make sure that speed never comes at the cost of reliability   WHAT WE OFFER AT FAL - Interesting and challenging work - Competitive salary and equity - A lot of learning and growth opportunities - Regular team events and offsites U.S. EQUAL EMPLOYMENT OPPORTUNITY INFORMATION: fal provides equal employment opportunities to applicants and employees without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability, or any other classification protected by applicable law.

Location: Remote: United States; Remote: Canada Workplace: Remote At Render, we’re building the modern cloud platform for developers creating AI-native, full-stack, multi-service applications. Our mission is to eliminate the tradeoff between the power of hyperscalers and the simplicity of developer-friendly platforms—so teams can ship fast, scale reliably, and focus on their product, not infrastructure. Unlike complex hyperscalers or ephemeral edge/serverless solutions, Render offers a developer-first experience with persistent compute, dynamic autoscaling, built-in orchestration, and observability, allowing teams to launch, scale, and manage real-world applications without writing infrastructure code or managing servers. Whether you're building LLM-powered applications, scalable SaaS products, or async processing pipelines, Render empowers teams to move fast and scale confidently from MVP to millions of users. Our platform is trusted by over 7 million developers worldwide and continues to grow rapidly. In February 2026, we raised an additional $100M in Series C financing, bringing our total funding to $260M, to accelerate our vision of making cloud infrastructure both powerful and intuitive—designed for the speed of modern AI development. We’re a diverse and talented team that values craft, velocity, and user experience. If you’re excited to help shape the future of the intelligent cloud and empower developers everywhere, we’d love to hear from you. APPLYING TO RENDER We're seeking candidates who possess high integrity, humility, and an insatiable drive to learn. Through reasoned discussions and continuous feedback, we strive to improve both individually and collectively. We foster an environment of mutual trust and respect, empowering effective debate to achieve the best outcomes for our customers and team. We especially encourage members of underrepresented groups in the tech community to apply and understand that not all successful candidates will meet each requirement listed. Our interview process is unique to each role, and we value the candidate experience just as much as our customer experience. We hope your conversations with us reflect a thoughtful process that is illuminative, enjoyable, and respectful of your time. ABOUT THE ROLE As a Software Engineer on Developer Velocity, you'll design and build the internal platform, tooling, and automation that lets every Render engineer move quickly and safely. You'll drive changes in our local development environments, CI/CD pipelines, test infrastructure, and the metrics we use to understand and improve how we ship. You'll work across the entire engineering org, identify where friction lives, and remove it, measurably. WHAT YOU'LL DO - Improve speed and reliability of early change feedback - Invest in build and dependency tooling, caching, incremental builds, and monorepo ergonomics, to keep iteration tight as the codebase grows. - Accelerate our CI/CD pipelines - cutting build, test, and deploy times while keeping the path to production safe and reversible. - Make our test suites fast and trustworthy: parallelization, smart test selection, flaky-test detection, and better local/preview environments built on the same primitives our customers use. - Design and build tools to support concurrent agent execution - Make test feedback fast enough to live inside an agent's loop, where slow or flaky runs compound across every attempt. - Get agents the right context (codebase conventions, service ownership, recent changes, environment state) so their first attempt lands closer to correct. - Simplify and establish repeatable patterns - Reduce toil through automation, paving over repetitive workflows and manual steps wherever they slow people down. - Instrument the engineering org with meaningful signals (deployment frequency, lead time for changes, change failure rate, time to restore) and turn them into action. - Build and participate in an on-call rotation as the team takes ownership of critical systems. WHAT WE'RE LOOKING FOR - Experience building and operating developer-facing tooling, CI/CD systems, or internal platforms that other engineers depend on every day. - Experience driving cultural and process changes to make engineering teams more effective. - Strong software engineering fundamentals and a track record of shipping, maintaining, and debugging production systems. - Proficiency in Go (or a strong willingness to ramp quickly, it's our primary language). - Hands-on experience with Kubernetes or similar container orchestration. - Familiarity with infrastructure-as-code tools (yup, Terraform). - A bias toward measurement: you instrument what you build and let data tell you whether you actually made things faster. - You empathize deeply with engineers, fixing developer pain points in an elegant and sustainable manner is something that resonates deeply with you. NICE-TO-HAVES - Experience improving build systems, test infrastructure, or developer experience at meaningful scale - Bazel, Concourse, and GitHub workflows are old friends. - Familiarity with observability tools like Datadog, Grafana, and OpenTelemetry. - Comfort working close to the metal - Linux, containers, kubernetes - you get your hands very dirty. - Security-minded instincts, especially around supply chain and the path from commit to deploy. - Understanding that the question isn't "AI pilled vs AI skeptic", but rather where to use it as an accelerant, and where human context must come first. If this role excites you but you don’t meet every single requirement, we’d still love to hear from you—your unique experience might be just what we need. BENEFITS - 4 weeks of paid vacation. - 14 weeks of fully paid parental leave for all parents to bond with a newly born, adopted, or fostered child. We will also work with you to create a supportive plan of return. - Long-term disability, life insurance, and 401K plans. - 100% employer-paid medical coverage and 99% employer-paid dental and vision coverage for you and a dependent. FSAs and HSAs are available as well. - Monthly lifestyle stipend for wellness, mental health and therapy, hobbies, etc. - Monthly cell phone and internet subsidy. - Commuter benefits for Renders in the Bay Area, and home office stipends for remote Renders. - Continuous learning benefits & related support. This position is generally not eligible for new visa sponsorship. At Render's discretion, the business may sponsor existing visa transfers. Applicants who require sponsorship must receive business authorization. Render is an equal-opportunity employer. We know that employing a team rich in diverse thoughts, experiences, and opinions allows our employees, product, and community to flourish. We make all employment decisions including hiring, evaluation, termination, promotional, and training opportunities, without regard to race, religion, color, sex, age, national origin, ancestry, sexual orientation, physical handicap, mental disability, medical condition, disability, gender or identity or expression, pregnancy or pregnancy-related condition, marital status, height and/or weight. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation. We encourage all who are interested to apply. We can't wait to hear from you! Render — CCPA Applicant Privacy Notice https://drive.google.com/file/d/1wKr9IejoT5McFrs9I2mahQnf6AFwb3z2/view Render — GDPR Applicant Privacy Notice https://drive.google.com/file/d/1_8jtyXQ1HdRdTdQn9sZ7n-R-zAGBmsFa/view

Location: Remote - United States Reddit is a community of communities. It’s built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet. Every day, Reddit users submit, vote, and comment on the topics they care most about. With 100,000+ active communities and approximately 130 million daily active unique visitors, Reddit is one of the internet’s largest sources of information. For more information, visit www.redditinc.com . Reddit is continuing to grow our teams with the best talent. This role is completely remote friendly within the United States. If you happen to live close to one of our physical office locations (San Francisco, Los Angeles, New York City & Chicago) our doors are open for you to come into the office as often as you'd like. The Safety and Moderation organization builds detection, automation and tools that help keep Reddit safe, healthy, and scalable in accordance with Reddit Rules . In this team on safety, we focus on proactive detection of platform violating content and users so we can take appropriate corrective action. We’re looking for a Staff Backend Engineer , who has interest in using applied ML to improve our automated detection and applying appropriate enforcement. We are looking for an engineer who thrives in a dynamic environment, working across systems and product surfaces to drive impact. This is a high impact role where you will drive related technical & product strategy, operations, architecture, and execution for one of the largest sites in the world. Responsibilities: Work cross-functionally with product, data science, operations and other engineering counterparts to execute on product and business strategy to keep our platform safe. Contribute to the full development cycle: ideation, technical design, development, test, experimentation, analysis, and launch. You’ll be reviewing code and design docs,and help shape our roadmap. Lead a team of thoughtful, fast-moving, and motivated engineers. Set and define standards that improve developer workflows, recommend best practices, and help coach and mentor engineers on the team to further their professional development. Innovate on new solutions and continuously learn and improve your technical and non-technical abilities. Required Qualifications: 8+ years of software development experience in one or more general-purpose programming languages; Go, Python, Rust, Ruby. BS degree in Computer Science, a similar technical field of study or equivalent practical experience. Strong organizational skills, the ability to prioritize tasks and keep projects on schedule. Entrepreneurial spirit. You are self-directed, innovative, and biased towards action in fast-paced environments. You love to build new things and thrive in ambiguity and even failure. Experience partnering effectively with cross-functional teams in a fully remote environment and the ability to discuss complex topics with technical and non-technical audiences. [Bonus] Applied ML experience for a product or business solution. Benefits: Comprehensive Healthcare Benefits and Income Replacement Programs 401k with Employer Match Global Benefit programs that fit your lifestyle, from workspace to professional development to caregiving support Family Planning Support Gender-Affirming Care Mental Health & Coaching Benefits Flexible Vacation & Paid Volunteer Time Off Generous Paid Parental Leave #LI-SP1 Pay Transparency: This job posting may span more than one career level. In addition to base salary, this job is eligible to receive equity in the form of restricted stock units, and depending on the position offered, it may also be eligible to receive a commission. Additionally, Reddit offers a wide range of benefits to U.S.-based employees, including medical, dental, and vision insurance, 401(k) program with employer match, generous time off for vacation, and parental leave. To learn more, please visit https://www.redditinc.com/careers/ . To provide greater transparency to candidates, we share base salary ranges for all US-based job postings regardless of state. We set standard base pay ranges for all roles based on function, level, and country location, benchmarked against similar stage growth companies. Final offer amounts are determined by multiple factors including, skills, depth of work experience and relevant licenses/credentials, and may vary from the amounts listed below. The base salary range for this position is: $217,000 — $303,900 USD In select roles and locations, the interviews will be recorded, transcribed and summarized by artificial intelligence (AI). You will have the opportunity to opt out of recording, transcription and summarization prior to any scheduled interviews. During the interview, we will collect the following categories of personal information: Identifiers, Professional and Employment-Related Information, Sensory Information (audio/video recording), and any other categories of personal information you choose to share with us. We will use this information to evaluate your application for employment or an independent contractor role, as applicable.  We will not sell your personal information or disclose it to any third party for their marketing purposes.  We will delete any recording of your interview promptly after making a hiring decision.  For more information about how we will handle your personal information, including our retention of it, please refer to our Candidate Privacy Policy for Potential Employees and Contractors . Reddit is proud to be an equal opportunity employer, and is committed to building a workforce representative of the diverse communities we serve.  Reddit is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If, due to a disability, you need an accommodation during the interview process, please let your recruiter know.

Location: Remote - United States Reddit is a community of communities. It’s built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet. Every day, Reddit users submit, vote, and comment on the topics they care most about. With 100,000+ active communities and approximately 130 million daily active unique visitors, Reddit is one of the internet’s largest sources of information. For more information, visit www.redditinc.com . This role is fully remote. Reddit has a flexible first workforce. The Site Experience SRE team sits at the intersection of infrastructure, product engineering, and user experience - ensuring that every interaction across web, mobile, APIs, feeds, media delivery, and real time systems is fast, reliable, and resilient. We are looking for a Staff Site Reliability Engineer to lead reliability engineering initiatives for critical user facing systems at internet scale. In this role, you will partner closely with product and infrastructure teams to improve availability, latency, scalability, and operational excellence across Reddit’s most business critical experiences. This is a highly technical leadership role for someone who thrives in large-scale distributed systems, enjoys solving complex reliability challenges, and can lead cross-functional projects to deliver concrete business results across the organization. What you’ll do: Lead Reliability Engineering Drive complex, cross-organizational programs to advance reliability, scalability, and performance for user-facing systems. Own execution from design through launch across API, content delivery, feed generation, search, and real-time experiences. Shape the Future of Reliability Define and drive long-term roadmaps for a domain of ownership within the team, turning ambitious reliability goals into strategic investments that build resilience, unlock scale, and enable product innovation. Build Strategic Partnerships Own and grow cross-functional partnerships across product and infrastructure engineering, aligning teams on shared reliability priorities and shaping the investments that keep Reddit resilient as it scales. Eliminate Systemic Risks Identify systemic risks and reliability bottlenecks across services, dependencies, deployments, and infrastructure. Drive structural improvements that address root causes, eliminate recurring failures, and prevent entire classes of incidents. Shape Automation Strategy Define the team’s approach to automation, identifying new opportunities and reusable patterns that make it easier to automate deployment safety, incident response, remediation workflows, and reliability guardrails Influence Engineering Standards Define and champion best practices around reliability engineering, SLIs/SLOs, capacity management, release engineering, and operational maturity across the company. Elevate the Team Develop engineers at every level through technical leadership, mentorship, and shared learning. Strengthen the team’s engineering judgment, reliability expertise, and ability to deliver with confidence. What We’re Looking For 8+ years of experience in Site Reliability Engineering, Infrastructure Engineering, or related roles operating best-in-class large scale distributed systems. Expertise leading complex, cross-organizational engineering programs from design through launch. Experience defining technical roadmaps to prioritize broad strategic reliability investment. Proven ability building cross-functional partnerships to align business priorities and facilitate effective technical collaboration. Expertise using and improving observability systems to expose failure modes, accelerate diagnosis, and answer complex questions about system behavior. Expertise troubleshooting complex issues across system, infrastructure, and networking. Strong software engineering fundamentals, sound operational judgment, and effective collaboration practices across teams. Nice to Have Experience with Kubernetes, containers, cloud infrastructure, and modern deployment platforms. Familiarity with technologies such as Prometheus, Grafana, OpenTelemetry, Envoy, Kafka, ClickHouse, Cassandra, Redis, or similar distributed infrastructure technologies. Experience with CDN optimization, edge reliability, traffic engineering, or global infrastructure. Contributions to open source software or participation in technical communities. Experience leading large scale incident response and operational transformation initiatives. Benefits: Global Benefit programs that fit your lifestyle, from workspace to professional development to caregiving support Family Planning Support Gender-Affirming Care Mental Health & Coaching Benefits Group Personal Pension Scheme with Employer match Private Medical and Dental Scheme Income Replacement Programs Bike to Work scheme Flexible Vacation & Paid Volunteer Time Off Generous Paid Parental Leave Pay Transparency: This job posting may span more than one career level. In addition to base salary, this job is eligible to receive equity in the form of restricted stock units, and depending on the position offered, it may also be eligible to receive a commission. Additionally, Reddit offers a wide range of benefits to U.S.-based employees, including medical, dental, and vision insurance, 401(k) program with employer match, generous time off for vacation, and parental leave. To learn more, please visit https://www.redditinc.com/careers/ . To provide greater transparency to candidates, we share base salary ranges for all US-based job postings regardless of state. We set standard base pay ranges for all roles based on function, level, and country location, benchmarked against similar stage growth companies. Final offer amounts are determined by multiple factors including, skills, depth of work experience and relevant licenses/credentials, and may vary from the amounts listed below. The base salary range for this position is: $217,000 — $303,900 USD In select roles and locations, the interviews will be recorded, transcribed and summarized by artificial intelligence (AI). You will have the opportunity to opt out of recording, transcription and summarization prior to any scheduled interviews. During the interview, we will collect the following categories of personal information: Identifiers, Professional and Employment-Related Information, Sensory Information (audio/video recording), and any other categories of personal information you choose to share with us. We will use this information to evaluate your application for employment or an independent contractor role, as applicable.  We will not sell your personal information or disclose it to any third party for their marketing purposes.  We will delete any recording of your interview promptly after making a hiring decision.  For more information about how we will handle your personal information, including our retention of it, please refer to our Candidate Privacy Policy for Potential Employees and Contractors . Reddit is proud to be an equal opportunity employer, and is committed to building a workforce representative of the diverse communities we serve.  Reddit is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If, due to a disability, you need an accommodation during the interview process, please let your recruiter know.

Location: United States (Remote) Grafana Labs is the company behind Grafana Cloud, the fully managed observability platform trusted by more than 10,000 organizations to ensure reliability, resolve incidents faster, and optimize telemetry at scale. Built on open source and open standards and designed for interoperability across any stack, Grafana Cloud brings AI to observability and observability to AI, giving teams (and their agents) unified visibility so they can see, understand, and act on all their disparate data, wherever it lives, and move at the speed of their ambitions. Customers, including Anthropic, Bloomberg, NVIDIA, Microsoft, and Salesforce, rely on Grafana Labs. We are a 100% remote company with team members across 40+ countries, backed by leading investors including Lightspeed Venture Partners, Sequoia Capital, GIC, Coatue, J.P. Morgan, CapitalG, and Lead Edge Capital. Learn more at grafana.com and follow us on LinkedIn and X . We’re scaling fast and staying true to what makes us different: an open-source legacy, a global collaborative culture, and a passion for meaningful work. Our team thrives in an innovation-driven environment where transparency, autonomy, and trust fuel everything we do. You may not meet every requirement, and that’s okay. If this role excites you, we’d love you to raise your hand for what could be a truly career-defining opportunity. This is a remote opportunity and we are looking for candidates from the U.S. The Opportunity Grafana Labs is seeking a Staff Engineer (AI & Automation) to own the AI agent infrastructure and automation platform that powers our Marketing Operations organization. You’ll build multi-agent architectures, LLM integrations, and backend services that connect AI models to internal and third-party data platforms. You’ll ship production systems that teams depend on daily. This is a high-autonomy role where you own the technical direction. You’ll identify the highest-leverage problems across Marketing, RevOps, and SDR teams, design the solutions, and ship them. You’ll define the technical direction for the automation platform (data models, API contracts, shared libraries, reference architectures) and partner with Data Engineering, GTM Systems, and Field Operations to build scalable, self-service automation that eliminates manual work and drives operational efficiency. What You'll Be Doing Agentic Systems & AI Infrastructure Own end-to-end development of multi-agent AI systems, from architecture and implementation through testing, deployment, and ongoing operation Build modular, composable agentic systems using orchestration frameworks (LangChain, CrewAI, Anthropic MCP, or similar) that operate 24/7 across teams Develop reusable agentic skills that agents invoke across interfaces (Slack, dashboards, internal apps, CLIs) Implement observability and feedback loops including logging, performance metrics, prompt iteration, model evaluation, and cost management Establish governance and compliance standards for AI workflows including access controls, audit trails, PII handling, and human-in-the-loop escalation paths Systems Integration & Backend Services Build MCP servers, APIs, CLIs, and microservices connecting AI models to business systems (BigQuery, Slack, CRMs, email, calendars, analytics tools) Architect data flows for retrieval-augmented generation (RAG), connecting LLMs to internal knowledge bases, customer data, and real-time business context Build serverless or containerized services (GCP Cloud Functions, Cloud Run) that scale with usage and integrate with Grafana's cloud infrastructure Automation & Workflow Enablement Partner with RevOps, Demand Generation, Regional Marketing, and SDR teams to scope high-impact automation problems, identify bottlenecks, and build solutions with measurable business outcomes Design and deploy workflows using orchestration tools (n8n, Workato, or custom platforms) with CI/CD, testing, and production reliability standards Build systems designed for self-service with documentation, playbooks, and enablement materials that let partner teams operate independently We invest heavily in developer productivity. You'll have access to AI coding assistants (Claude Code, Gemini CLI, OpenAI Codex, and others of your choice within security guidelines). We encourage pragmatic AI-assisted development paired with strong code review and quality standards. What Makes You a Great Fit 8+ years of software engineering experience with depth in backend development, systems integration, or data/analytics engineering 2+ years hands-on experience applying LLMs/AI to production workflows, not just prototypes Strong proficiency in Python and JavaScript/Node.js with Git-based workflows, code review practices, and testing discipline Hands-on experience with LLM frameworks and patterns including prompt engineering, RAG, function calling/tool use, structured output parsing, and evaluation Experience building and operating multi-agent systems at scale including agent decomposition, orchestration patterns (sequential chains, router/dispatcher, parallel fan-out), state management, and production monitoring You diagnose business problems before writing code. You think in workflows and outcomes, not just functions. Deep familiarity with Google Cloud Platform, BigQuery, and serverless/containerized services (Cloud Functions, Cloud Run) Understanding of LLM failure modes and production mitigations including confidence thresholds, fallback logic, human escalation, and cost/latency management Proven ability to identify high-leverage problems, push back on low-impact requests, and deliver end-to-end with minimal direction Fluent with AI-assisted development tools (GitHub Copilot, Cursor, Claude Code). You use AI to build AI systems Clear technical communicator who can explain complex systems in simple terms to both engineers and business stakeholders Bonus Points Experience with vector databases or retrieval pipelines (Pinecone, Weaviate, ChromaDB, Qdrant, pgvector) Familiarity with marketing or sales platforms (Salesforce, Customer.io, HubSpot, Marketo, Outreach) Experience with frontend frameworks (React, Slack Block Kit) for building user-facing AI tool interfaces Observability tooling for AI systems (LangSmith, Weights & Biases, custom evaluation frameworks) Experience with workflow orchestration platforms (n8n, Temporal, Prefect, Airflow) Familiarity with Model Context Protocol (MCP) or similar standards for connecting AI systems to data sources Prior work automating marketing, sales, or customer success workflows in a B2B SaaS environment Active in open-source communities. Grafana is built on OSS and we value engineers who share that DNA In the United States, the base compensation range for this role is USD $154,445 - USD $185,334. Actual compensation may vary based on level, experience, and skillset as assessed throughout the interview process. All of our roles include Restricted Stock Units (RSUs), giving every team member ownership in Grafana Labs' success. We believe in shared outcomes—RSUs help us stay aligned and invested as we scale globally. *Compensation ranges are country specific. If you are applying for this role from a different location than listed above, your recruiter will discuss your specific market’s defined pay range & benefits at the beginning of the process. Why You’ll Thrive at Grafana Labs: 100% Remote, Global Culture - As a remote-only company, we bring together talent from around the world, united by a culture of collaboration and shared purpose. Scaling Organization – Tackle meaningful work in a high-growth, ever-evolving environment. Transparent Communication – Expect open decision-making and regular company-wide updates. Innovation-Driven – Autonomy and support to ship great work and try new things. Open Source Roots – Built on community-driven values that shape how we work. Empowered Teams – High trust, low ego culture that values outcomes over optics. Career Growth Pathways – Defined opportunities to grow and develop your career. Approachable Leadership – Transparent execs who are involved, visible, and human. Passionate People – Join a team of smart, supportive folks who care deeply about what they do. In-Person onboarding - We want you to thrive from day 1 with your fellow new ‘Grafanistas’ to learn all about what we do and how we do it. Balance is Key - We operate a global annual leave policy of 30 days per annum. 3 days of your annual leave entitlement are reserved for Grafana Shutdown Days to allow the team to really disconnect. *We will comply with local legislation where applicable. Equal Opportunity Employer: Grafana Labs is an equal opportunities employer. We welcome applications from everyone regardless of race, colour, nationality, origin, caste, sex, gender reassignment identity or expression, sexual orientation, age, religion or belief, disability, veteran status, genetic information, pregnancy, maternity, marital, family or carer status, or any other characteristic which is protected by local law. We believe that equality and diversity build a strong organisation, and we work hard to ensure that is the foundation of our organisation as we grow. Grafana Labs may utilize AI tools in its recruitment process to assist in matching information provided in CVs to job postings. The recruitment team will continue to review inbound CVs manually to identify alignment with current openings. #LI-Remote For information about how your personal data is used once you’ve applied to a job, check out our privacy policy .

Location: Canada (Remote) Grafana Labs is the company behind Grafana Cloud, the fully managed observability platform trusted by more than 10,000 organizations to ensure reliability, resolve incidents faster, and optimize telemetry at scale. Built on open source and open standards and designed for interoperability across any stack, Grafana Cloud brings AI to observability and observability to AI, giving teams (and their agents) unified visibility so they can see, understand, and act on all their disparate data, wherever it lives, and move at the speed of their ambitions. Customers, including Anthropic, Bloomberg, NVIDIA, Microsoft, and Salesforce, rely on Grafana Labs. We are a 100% remote company with team members across 40+ countries, backed by leading investors including Lightspeed Venture Partners, Sequoia Capital, GIC, Coatue, J.P. Morgan, CapitalG, and Lead Edge Capital. Learn more at grafana.com and follow us on LinkedIn and X . We’re scaling fast and staying true to what makes us different: an open-source legacy, a global collaborative culture, and a passion for meaningful work. Our team thrives in an innovation-driven environment where transparency, autonomy, and trust fuel everything we do. You may not meet every requirement, and that’s okay. If this role excites you, we’d love you to raise your hand for what could be a truly career-defining opportunity. This is a remote opportunity and we are looking for candidates from Canada. Residents of Quebec are not eligible for this role. The Opportunity Grafana Labs is seeking a Staff Engineer (AI & Automation) to own the AI agent infrastructure and automation platform that powers our Marketing Operations organization. You’ll build multi-agent architectures, LLM integrations, and backend services that connect AI models to internal and third-party data platforms. You’ll ship production systems that teams depend on daily. This is a high-autonomy role where you own the technical direction. You’ll identify the highest-leverage problems across Marketing, RevOps, and SDR teams, design the solutions, and ship them. You’ll define the technical direction for the automation platform (data models, API contracts, shared libraries, reference architectures) and partner with Data Engineering, GTM Systems, and Field Operations to build scalable, self-service automation that eliminates manual work and drives operational efficiency. What You'll Be Doing Agentic Systems & AI Infrastructure Own end-to-end development of multi-agent AI systems, from architecture and implementation through testing, deployment, and ongoing operation Build modular, composable agentic systems using orchestration frameworks (LangChain, CrewAI, Anthropic MCP, or similar) that operate 24/7 across teams Develop reusable agentic skills that agents invoke across interfaces (Slack, dashboards, internal apps, CLIs) Implement observability and feedback loops including logging, performance metrics, prompt iteration, model evaluation, and cost management Establish governance and compliance standards for AI workflows including access controls, audit trails, PII handling, and human-in-the-loop escalation paths Systems Integration & Backend Services Build MCP servers, APIs, CLIs, and microservices connecting AI models to business systems (BigQuery, Slack, CRMs, email, calendars, analytics tools) Architect data flows for retrieval-augmented generation (RAG), connecting LLMs to internal knowledge bases, customer data, and real-time business context Build serverless or containerized services (GCP Cloud Functions, Cloud Run) that scale with usage and integrate with Grafana's cloud infrastructure Automation & Workflow Enablement Partner with RevOps, Demand Generation, Regional Marketing, and SDR teams to scope high-impact automation problems, identify bottlenecks, and build solutions with measurable business outcomes Design and deploy workflows using orchestration tools (n8n, Workato, or custom platforms) with CI/CD, testing, and production reliability standards Build systems designed for self-service with documentation, playbooks, and enablement materials that let partner teams operate independently We invest heavily in developer productivity. You'll have access to AI coding assistants (Claude Code, Gemini CLI, OpenAI Codex, and others of your choice within security guidelines). We encourage pragmatic AI-assisted development paired with strong code review and quality standards. What Makes You a Great Fit 8+ years of software engineering experience with depth in backend development, systems integration, or data/analytics engineering 2+ years hands-on experience applying LLMs/AI to production workflows, not just prototypes Strong proficiency in Python and JavaScript/Node.js with Git-based workflows, code review practices, and testing discipline Hands-on experience with LLM frameworks and patterns including prompt engineering, RAG, function calling/tool use, structured output parsing, and evaluation Experience building and operating multi-agent systems at scale including agent decomposition, orchestration patterns (sequential chains, router/dispatcher, parallel fan-out), state management, and production monitoring You diagnose business problems before writing code. You think in workflows and outcomes, not just functions. Deep familiarity with Google Cloud Platform, BigQuery, and serverless/containerized services (Cloud Functions, Cloud Run) Understanding of LLM failure modes and production mitigations including confidence thresholds, fallback logic, human escalation, and cost/latency management Proven ability to identify high-leverage problems, push back on low-impact requests, and deliver end-to-end with minimal direction Fluent with AI-assisted development tools (GitHub Copilot, Cursor, Claude Code). You use AI to build AI systems Clear technical communicator who can explain complex systems in simple terms to both engineers and business stakeholders Bonus Points Experience with vector databases or retrieval pipelines (Pinecone, Weaviate, ChromaDB, Qdrant, pgvector) Familiarity with marketing or sales platforms (Salesforce, Customer.io, HubSpot, Marketo, Outreach) Experience with frontend frameworks (React, Slack Block Kit) for building user-facing AI tool interfaces Observability tooling for AI systems (LangSmith, Weights & Biases, custom evaluation frameworks) Experience with workflow orchestration platforms (n8n, Temporal, Prefect, Airflow) Familiarity with Model Context Protocol (MCP) or similar standards for connecting AI systems to data sources Prior work automating marketing, sales, or customer success workflows in a B2B SaaS environment Active in open-source communities. Grafana is built on OSS and we value engineers who share that DNA In Canada, the base compensation range for this role is CAD 164,490 - CAD 197,389 . Actual compensation may vary based on level, experience, and skillset as assessed throughout the interview process. All of our roles include Restricted Stock Units (RSUs), giving every team member ownership in Grafana Labs' success. We believe in shared outcomes—RSUs help us stay aligned and invested as we scale globally. *Compensation ranges are country specific. If you are applying for this role from a different location than listed above, your recruiter will discuss your specific market’s defined pay range & benefits at the beginning of the process. Why You’ll Thrive at Grafana Labs: 100% Remote, Global Culture - As a remote-only company, we bring together talent from around the world, united by a culture of collaboration and shared purpose. Scaling Organization – Tackle meaningful work in a high-growth, ever-evolving environment. Transparent Communication – Expect open decision-making and regular company-wide updates. Innovation-Driven – Autonomy and support to ship great work and try new things. Open Source Roots – Built on community-driven values that shape how we work. Empowered Teams – High trust, low ego culture that values outcomes over optics. Career Growth Pathways – Defined opportunities to grow and develop your career. Approachable Leadership – Transparent execs who are involved, visible, and human. Passionate People – Join a team of smart, supportive folks who care deeply about what they do. In-Person onboarding - We want you to thrive from day 1 with your fellow new ‘Grafanistas’ to learn all about what we do and how we do it. Balance is Key - We operate a global annual leave policy of 30 days per annum. 3 days of your annual leave entitlement are reserved for Grafana Shutdown Days to allow the team to really disconnect. *We will comply with local legislation where applicable. Equal Opportunity Employer: Grafana Labs is an equal opportunities employer. We welcome applications from everyone regardless of race, colour, nationality, origin, caste, sex, gender reassignment identity or expression, sexual orientation, age, religion or belief, disability, veteran status, genetic information, pregnancy, maternity, marital, family or carer status, or any other characteristic which is protected by local law. We believe that equality and diversity build a strong organisation, and we work hard to ensure that is the foundation of our organisation as we grow. Grafana Labs may utilize AI tools in its recruitment process to assist in matching information provided in CVs to job postings. The recruitment team will continue to review inbound CVs manually to identify alignment with current openings. #LI-Remote For information about how your personal data is used once you’ve applied to a job, check out our privacy policy .

Location: Abu Dhabi, UAE About Us Established in 2018, Bybit is one of the world’s leading cryptocurrency exchanges and digital financial platforms, serving over 80 million users across more than 200 countries and regions. Powered by world-class technology and a user-first mindset, Bybit delivers a seamless ecosystem across trading, payments, wealth management, custody, institutional services, and Web3 — connecting users to the future of digital finance. Our core values define how we build. We listen, care and improve to create products and experiences that put users first. Backed by a global team of ambitious builders, problem-solvers, and innovators, we foster a high-performance and fast-moving environment where talent is empowered to drive real impact at the global scale. Supported by 24/7 multilingual customer service and a strong commitment to innovation, we are shaping the future of finance through technology, collaboration, and bold execution. Today, Bybit is recognized as one of the most trusted and transparent platforms in the digital asset industry, continuing to expand its global presence while building the infrastructure for the next generation of financial services. Role Overview The Chief Risk Officer (CRO) is responsible for establishing and overseeing the firm's risk management framework across broker dealer regulated activities conducted in or from ADGM. The role provides independent oversight of the firm's risk profile, ensuring that material risks are appropriately identified, assessed, monitored, and managed in line with the firm's risk appetite and regulatory obligations. Key Responsibilities Develop, implement, and maintain the firm's enterprise risk management framework in accordance with applicable FSRA Rules and regulatory requirements. Oversee risk governance processes covering operational, market, liquidity, technology, cyber security, outsourcing, conduct, and strategic risks. Monitor the firm's overall risk profile and ensure material risks are managed within approved risk appetite and tolerance levels. Provide independent risk oversight and challenge over business activities, client onboarding frameworks, trading operations, new products, and strategic initiatives. Conduct risk assessments, stress testing, scenario analysis, and control effectiveness reviews. Oversee the development and maintenance of risk policies, procedures, risk indicators, and reporting frameworks. Review material risk events, operational incidents, and control failures, ensuring appropriate escalation and remediation. Prepare regular risk reports for the Board, Board Committees, and senior management. Liaise with the FSRA on risk management matters, regulatory reviews, and supervisory engagements. Promote a strong risk culture across the organisation and support risk-based decision making. Requirements Bachelor's degree in Risk Management, Finance, Economics, Accounting, Law, or a related discipline. Significant experience in risk management within financial services, brokerages, capital markets, banking, fintech, or virtual asset businesses. Strong understanding of ADGM regulatory requirements and risk management expectations. Experience designing and implementing enterprise risk management frameworks and governance structures. Experience engaging with regulators, Boards, and senior stakeholders. Strong analytical, communication, and stakeholder management skills. Profile Strategic thinker with strong commercial judgement and business acumen. Able to provide independent challenge while maintaining effective partnerships with stakeholders. Demonstrates high integrity, accountability, and professionalism. Comfortable operating in a fast-paced and evolving regulatory environment. Passion for financial services, digital assets, and emerging technologies. Embraces the use of AI and technology to enhance risk monitoring, reporting, and operational efficiency. Why Join Us At Bybit, we are committed to fostering a supportive and enriching work environment. Our benefits include: - Study Growth Fund: We support your professional development and continuous learning. - Internal Events: Participate in regular team-building activities, workshops, and events designed to promote collaboration and innovation. - Global Collaboration: Be part of a diverse, international team, working alongside colleagues from around the world. - Career Advancement: Access opportunities for growth and advancement within a rapidly expanding global company. - Internal Mobility: Grow with us- Your long-term development is important to us. We offer internal job opportunities to help build your career path.

Location: Amsterdam, Netherlands; 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. The Role We’re looking for a Site Reliability Engineer to help build and run the fundamental part of Nebius - the Network - the infrastructure everything else depends on. This is an engineering-first SRE role: you’ll set clear reliability targets, build the tooling and automation to meet them, and make the network safer to operate as we scale quickly. Your responsibilities will include: Define and own reliability goals for network services and critical paths (SLIs/SLOs, availability targets, error budgets where it makes sense) Drive reliability improvements across the whole network: not only services, but also site readiness, inter-site connectivity (DCI), and operational standards Own incident response for your areas, lead investigations/postmortems, and turn failures into durable fixes (not repeated firefighting) Build and evolve observability: actionable metrics/logs/traces, alerting, and faster debug loops during and after incidents Design safer change workflows: automation, CI/CD, test/staging environments, canarying, rollbacks, and auditability for network changes Work closely with network engineers and platform teams to embed operability into designs and keep operations practical and fast We expect you to have: Strong production Linux fundamentals and a structured approach to debugging complex systems Solid understanding of networking basics and how real networks fail (control plane vs data plane, latency/loss, failure domains, etc.) Hands-on experience operating high-availability systems and improving them over time (not just “keeping lights on”) Ability to write and maintain software/automation (Go is common for us; Python is also welcome) Experience with modern infrastructure tooling (e.g., IaC, CI/CD, container platforms) and comfort automating operational workflows It will be an added bonus if you have: Experience with high-throughput traffic processing: load balancers, tunneling/decap, NAT64, or similar datapath-heavy systems Low-level networking performance/debug background (eBPF/XDP, DPDK, perf/ftrace, kernel networking internals) Experience building network-safe delivery pipelines (testing labs, staged rollouts, automated verification, drift detection) Background with large-scale network observability/telemetry (e.g., routing/flow telemetry, regression detection at scale) 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.