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Location: Delaware, OH Physical Therapist – Outpatient Ortho Build Your Outpatient Physical Therapy Career with us! At Drayer Physical Therapy, part of the Upstream Rehabilitation network, you can focus on patient care while advancing your career in outpatient orthopedic physical therapy. We’re hiring full-time, part-time, and PRN Physical Therapists — including new grads — who want competitive pay, strong mentorship, and a clear path to professional growth that flexes with every stage of your career. Why Clinicians Choose Drayer Competitive Physical Therapist compensation: $75,000 - $90,000 Achievable monthly clinical bonus program, over 90% of clinicians qualify Student loan repayment assistance – directly to the principle of your loan! 100% employer paid medical health insurance premium option available Dental and Vision insurance 401(k) with company match Generous PTO and paid holidays Structured onboarding for new-grad Physical Therapists and ongoing mentorship In-house Residency/Fellowship programs and robust CEU opportunities – with annual allowance! Path to clinic ownership / partnership for long-term growth Modern clinical technology that reduces documentation time so you can focus on patients Supportive team and leadership invested in your success What You’ll Do as a Physical Therapist Develop individualized, evidence-based care plans for your patients Deliver high-quality, outcomes-driven therapy Collaborate with peers in a fun, values-driven team environment Build lasting connections with patients and local providers Continue learning and growing through Upstream’s education and development programs Qualifications Graduate of an accredited Physical Therapy program (DPT or equivalent) Active Ohio Physical Therapist license (or eligible) A Better Place to Build Your PT Career When you join Upstream Rehabilitation, you get the strength of a national network with the feel of a local clinic. Our central support teams handle the administrative work , so you can focus on what matters most — the patient in front of you. With a network of over 1,200 clinics coast-to-coast across 26 brand partners, we lead the industry in quality outcomes, leveraging data, technology, and innovation to reduce paperwork and give you more time for care. You’ll be part of a fantastic group of clinicians who shape our culture, create a positive work environment, and know how to have fun along the way. It’s easy to see why so many Physical Therapists choose to grow their careers with Upstream. Estimated pay ranges listed above are based on several factors including but not limited to your pay class, experience, background and geographic location of the clinic Benefits and eligibility are dependent on employment status and pay class (full-time, part-time, or PRN). Specific details will be provided during the hiring process. Upstream Rehabilitation is an Equal Opportunity Employer that strives to provide an inclusive work environment where our differences are celebrated for the value they bring to our communities, our patients and our teammates. Upstream Rehabilitation does not discriminate on the basis of race, color, national origin, religion, gender (including pregnancy), sexual orientation, age, disability, veteran status, or other status protected under applicable law.

Workplace: remote Requirements 5+ years of experience with C#/.Net REST APIs Microservices architecture OAuth2, JWT, OIDC Graph modeling Distributed systems Understanding of RBAC, ReBAC, ACL, and policy evaluation is a plus Nice to have Hands-on experience with Identity & Authorization Experience with policy engines / policy-as-code Experience with API Gateway, Kubernetes, Service Mesh Neo4j OpenFGA SpiceDB OPA Redis Kafka Responsibilities Develop Authorization SDKs Evolve Policy APIs Create and maintain Authorization microservices Develop Identity services Implement RBAC, ReBAC, ACL, and policy evaluation Build graph relationships, permission inheritance, and delegated administration Build integrations with API Gateway, AI Gateway, Kubernetes, and Service Mesh Write automated tests, authorization regression suites, and performance tests We offer Projects for such clients as PayPal, Wargaming, Xerox, Philips, Adidas and Toyota Competitive compensation that depends on your qualification and skills Career development system with clear skill qualifications Flexible working hours aligned to your schedule Options to work remotely Any questions? Natalya hh@itransition.com

Location: Ontario, Canada - Remote About FirstPrinciples At FirstPrinciples, we're building Theo, the AI platform for R&D teams. By bringing together an organization's data, the world's research, and their choice of AI models and tools, we're creating a unified platform designed for verifiable scientific work. We're a small, ambitious team at an early stage of growth, tackling complex technical challenges and building something with the potential to meaningfully change how R&D teams work. We're looking for people who thrive in fast-paced environments, take ownership, adapt quickly, and aren't afraid to experiment. You'll have the opportunity to make a meaningful impact, work closely with talented people across disciplines, and help shape both our technology and the company as we grow. Why This Role Exists: We’re building products to accelerate progress in physics - but that only matters if the right researchers discover them, understand how they work, and make the decision to adopt them. Besides building the technology, the challenge is earning the trust of researchers and institutions, and translating it into active usage and commercial relationships. This role exists to lead that journey. You’ll work across the full sales lifecycle: from identifying and reaching out to researchers and organizations, to discovery, demos, evaluations, and close. You’ll help prospective users move from curiosity, to confidence that the platform can advance their research. Your impact will directly shape who we serve, how we bring the product to market, and how quickly we build a repeatable path to adoption and revenue. What You’ll Do - Rapidly develop fluency in customers’ technical domains, research programs, and scientific problems to identify where FirstPrinciples can create value - Prepare highly targeted account strategies and outreach based on a genuine understanding of the organization and its work - Build relationships and pipeline across commercial R&D teams, industry researchers, research groups, national laboratories, and other research-intensive organizations - Own the end-to-end commercial lifecycle: from prospecting and qualification, to discovery, demos, proposals, and close - Run technically credible discovery conversations and product demos that connect researchers’ goals to concrete product use cases - Help prospective customers structure pilot plans, establish success criteria, and build confidence in adopting the platform - Navigate multiple stakeholders across scientific, technical, administrative, procurement, and leadership functions - Partner closely with Research Partners throughout discovery, evaluation, onboarding, and expansion - Bring market feedback, objections, and emerging use cases back to product, research, and engineering - Build lightweight systems for outreach, qualification, account planning, CRM management, follow-up, and forecasting that can scale with the organization - Own clear pipeline, conversion, and revenue goals while helping define our early sales playbook Who You Are - Exceptionally curious and analytical, with the ability to rapidly develop fluency in unfamiliar technical and scientific domains - High agency and learning velocity; you’re comfortable being dropped into a complex topic, figuring it out quickly, and operating without an established playbook - Able to form strong, testable points of view from incomplete information, grounded in first-principles reasoning rather than defaulting to established frameworks - You enjoy doing the work before the meeting: reading papers, researching companies, understanding unfamiliar technical problems, and developing a point of view - Commercially minded and excited by turning complex technology into customer relationships, adoption, and revenue - Strong communicator who asks sharp questions, listens carefully, leads credible discovery conversations, and can move an opportunity toward a decision - Able to understand complex research goals and translate technical capabilities into clear, credible value - Comfortable initiating conversations, prospecting into new organizations, and building relationships from the ground up - Persistent and highly organized; you follow through, maintain momentum, and are comfortable being accountable for measurable commercial outcomes - You may come from sales, investing, consulting, banking, data/analytics, a technical startup, scientific commercialization, or another highly analytical environment. Traditional enterprise sales experience is not required What You’ll Get - The opportunity to work on foundational problems at the intersection of AI and physics - A high-trust, low-bureaucracy environment with real ownership - Remote-first work with flexibility in how you structure your day - Exposure to cutting-edge ideas across AI, scientific discovery, and emerging technologies - A culture that values curiosity, depth of thinking, and first-principles reasoning - The chance to contribute to work aimed at advancing fundamental science

Location: Manchester, United Kingdom Our Global Structure Deliveroo is now part of DoorDash, bringing together teams with even greater reach, scale, and ambition. Depending on your role, you may collaborate with teammates, systems, and leaders across DoorDash and Wolt. Together, we’re unlocking new possibilities as one global team. Join us in our mission to transform the way people shop and eat, where impact, innovation, and growth drives everything we do. Our Commercial team sits at the centre of Deliveroo’s marketplace—shaping how we serve restaurants, grocers, and new verticals worldwide. From negotiating key partnerships to unlocking new revenue streams and crafting data-led growth strategies, we take on big challenges that move the business forward. If you thrive in fast-paced, commercial environments and want to influence the future of a global brand—this is the team for you. We’re looking for a New Partner Experience (NPX) Advisor to join our Manchester team. In this role, you’ll be the vital link for our newly signed partners during their first two months on the platform, ensuring they have the tools, confidence, and strategy to build for long-term success. What You’ll Be Doing You’ll be joining the New Partner Experience (NPX) team. We work cross-functionally with Sales and Account Managers to ensure our partners have a smooth journey, helping them navigate our systems and maximise their growth from day one. Here’s what your day-to-day might look like: Lead Partner Relationships: Act as the primary relationship lead for newly signed restaurants, ensuring they are built for success and remain highly engaged with the platform. Consult on Growth: Educate partners on how to make their menus stand out and encourage the use of advertising tools to drive consistent order volume. Liaison & Coordination: Serve as the bridge between your restaurant partners and internal teams, such as the photography team, to ensure their digital storefront looks world-class. Build Lasting Trust: Manage high-quality outbound calls to resolve partner issues promptly, building the trust necessary for a long-term partnership. Operational Excellence: Handle administrative tasks for each restaurant you manage with precision, ensuring they are comfortable with our processes and systems. What You’ll Need to Thrive Essential Strong Communication: An excellent phone presence with the confidence to lead regular outbound calls and the empathy to listen to partner needs. Target-Driven Mindset: Proven ability to work toward demanding targets while maintaining high standards of quality and attention to detail. IT Literacy: Proficient in using a range of Microsoft software; while not essential, knowledge of Salesforce is highly desirable. Emotional Intelligence: The ability to build rapport quickly and navigate partner challenges with a proactive, "get up and go" attitude. Organisational Skills: High attention to detail with the ability to manage the administrative lifecycle of multiple restaurant partners simultaneously. Nice to Have Previous experience in account management, sales, or customer service. Experience working in a fast-paced startup or technology environment. Interview Process Step 1: Apply – Apply for any role you’d like to be considered for. We’re looking forward to hearing from you! Step 2: Recruiter Screen – You’ll have a 15-30 minute conversation with someone from Deliveroo to talk through your experience in more detail, learn more about the role, and get guidance on how to prepare for the next stages. Step 4: Interview & Case Study – You’ll be invited to interview with one of our Managers, which may include a case study where you’ll present your findings (online or onsite). Step 5: Outcome – We’ll get back to you after your interview to let you know the result! Why Join Us? At Deliveroo, you’ll do work that matters, solving real-world problems in a three-sided marketplace that’s constantly evolving. We’re food lovers, problem solvers, community builders and more, brought together by a shared drive to make things better. Working here you can expect to: 🔧 Make a visible impact every day Your work directly improves experiences for customers, partners and riders. 🌱 Learn fast in an entrepreneurial environment Work close to the market with autonomy, pace and real responsibility. 🧠 Build a career, not just a role Stretch yourself, develop new skills and grow as the business evolves. 🌎 Deliver together in an inclusive culture Collaborative, values-driven teams that support how you work best. The Details Salary: £27,700 base + up to £6,000 annual bonus (paid quarterly). Start Date: November 2026. Working Pattern: Hybrid working offered after successful completion of probation. We aim to create a fair process that lets your skills shine—our interview typically includes 3-4 stages. Find more about how we hire here . Diversity, Equity and Inclusion At Deliveroo, we know that a great workplace reflects the world around us and that true diversity and inclusion make us stronger, more creative, and better at what we do. We’re committed to fostering an environment where everyone can do their best work and feel they belong. We believe in equality of opportunity and welcome candidates from all backgrounds regardless of age, gender, ethnicity, disability, sexual orientation, gender identity, socio-economic background, religion, or belief. If you have a disability or long-term health condition and need support to apply for one of our roles, or require any reasonable adjustments during the recruitment process, you’ll have the opportunity to let us know once you’ve submitted your application. We’ll share details on how to request support so we can ensure you have a fair and equitable experience. If you’re excited about making a real impact in a fast-moving marketplace and growing your career alongside ambitious, supportive teams, we’d love to hear from you! Beware of recruitment scams: DASH Brands will never ask you to pay money or share sensitive financial information during hiring — learn more about DASH Brands' legitimate recruiting process at careersatdoordash.com/recruitment-scam-awareness .

Location: Manchester, United Kingdom Our Global Structure Deliveroo is now part of DoorDash, bringing together teams with even greater reach, scale, and ambition. Depending on your role, you may collaborate with teammates, systems, and leaders across DoorDash and Wolt. Together, we’re unlocking new possibilities as one global team. Join us in our mission to transform the way people shop and eat, where impact, innovation, and growth drives everything we do. Our Commercial team sits at the centre of Deliveroo’s marketplace—shaping how we serve restaurants, grocers, and new verticals worldwide. From negotiating key partnerships to unlocking new revenue streams and crafting data-led growth strategies, we take on big challenges that move the business forward. If you thrive in fast-paced, commercial environments and want to influence the future of a global brand—this is the team for you. We’re looking for a New Partner Experience Advisor to join our Manchester team. In this role, you’ll be the vital link for our Belgium partners during their first two months on the platform, ensuring they have the tools, confidence, and strategy to build for long-term success. What You’ll Be Doing You’ll be joining the New Partner Experience (NPX) team. We work cross-functionally with Sales and Account Managers to ensure our newest partners have a smooth journey, helping them navigate our systems and maximise their growth from day one. Here’s what your day-to-day might look like: Lead Partner Success: Act as the primary relationship lead for newly signed Belgium restaurants, ensuring they hit key operational metrics and KPIs during their critical first 60 days. Consult on Growth: Educate partners on how to make their menus stand out and encourage the use of advertising tools to drive consistent order volume. Liaison & Coordination: Serve as the bridge between your restaurant partners and internal teams, such as the photography team, to ensure their digital storefront looks world-class. Build Lasting Trust: Manage high-quality outbound calls to resolve partner issues promptly, building the engagement and trust necessary for a long-term partnership. Operational Excellence: Adhere to daily targets and quality standards, maintaining meticulous administrative records in our systems to ensure compliance and task completion. What You’ll Need to Thrive Essential Linguistic Proficiency: Native or fluent in both Dutch/Flemish and English (written and spoken). Strong Communication: An excellent phone presence with the confidence to lead regular outbound calls and the empathy to listen to partner needs. Target-Driven Mindset: Proven ability to work toward demanding targets while maintaining high standards of quality and attention to detail. Technical Literacy: Proficient in Microsoft Office software; while not essential, knowledge of Salesforce is highly desirable. Emotional Intelligence: The ability to build rapport quickly and navigate partner challenges with a proactive, "get up and go" attitude. Nice to Have Previous experience in account management, sales, or high-level customer service. Experience working in a fast-paced startup or technology environment. We aim to create a fair process that lets your skills shine—our interview typically includes 3-4 stages. Find more about how we hire here . Interview Process Step 1: Apply – Apply for any role you’d like to be considered for. We’re looking forward to hearing from you! Step 2: AI Screening & Assessment – If your application is successful, you’ll be invited to complete a short phone screening and online assessment with our AI assistant, Maki People . Things to note: this step must be completed to progress & If you can't find the link to the assessment in your inbox, please check your junk/spam! Step 3: Recruiter Screen – You’ll have a 15-30 minute conversation with someone from Deliveroo to talk through your experience in more detail, learn more about the role, and get guidance on how to prepare for the next stages. Step 4: Interview & Case Study – You’ll be invited to interview with one of our Managers, which may include a case study where you’ll present your findings (online or onsite). Step 5: Outcome – We’ll get back to you after your interview to let you know the result! Why Join Us? At Deliveroo, you’ll do work that matters, solving real-world problems in a three-sided marketplace that’s constantly evolving. We’re food lovers, problem solvers, community builders and more, brought together by a shared drive to make things better. Working here you can expect to: 🔧 Make a visible impact every day Your work directly improves experiences for customers, partners and riders. 🌱 Learn fast in an entrepreneurial environment Work close to the market with autonomy, pace and real responsibility. 🧠 Build a career, not just a role Stretch yourself, develop new skills and grow as the business evolves. 🌎 Deliver together in an inclusive culture Collaborative, values-driven teams that support how you work best. The Details Salary: £27,700 base + up to £6,000 annual bonus (paid quarterly). Start Date: 8th June 2026 Working Pattern: Hybrid working offered after successful completion of probation. Diversity, Equity and Inclusion At Deliveroo, we know that a great workplace reflects the world around us and that true diversity and inclusion make us stronger, more creative, and better at what we do. We’re committed to fostering an environment where everyone can do their best work and feel they belong. We believe in equality of opportunity and welcome candidates from all backgrounds regardless of age, gender, ethnicity, disability, sexual orientation, gender identity, socio-economic background, religion, or belief. If you have a disability or long-term health condition and need support to apply for one of our roles, or require any reasonable adjustments during the recruitment process, you’ll have the opportunity to let us know once you’ve submitted your application. We’ll share details on how to request support so we can ensure you have a fair and equitable experience. If you’re excited about making a real impact in a fast-moving marketplace and growing your career alongside ambitious, supportive teams, we’d love to hear from you! Beware of recruitment scams: DASH Brands will never ask you to pay money or share sensitive financial information during hiring — learn more about DASH Brands' legitimate recruiting process at careersatdoordash.com/recruitment-scam-awareness .

Location: London, United Kingdom - Deliveroo Our Global Structure Deliveroo is now part of DoorDash, bringing together teams with even greater reach, scale, and ambition. Depending on your role, you may collaborate with teammates, systems, and leaders across DoorDash and Wolt. Together, we’re unlocking new possibilities as one global team. Join us in our mission to transform the way people shop and eat, where impact, innovation and growth drive everything we do. Our Engineering teams tackle complex technical challenges across a global, three-sided marketplace, building and scaling systems that serve millions of customers, riders and partners every day. From real-time logistics to resilient infrastructure and marketplace optimisation, we design, build and operate technology that powers Deliveroo’s growth at scale. We’re looking for a Software Engineer, Backend to join our London team. This role is based in our London office with a hybrid setup, typically 3 days in the office. Get to know our Engineering team — what drives us, how we work, and what you can expect. About the Team The Core BI team builds and operates the services, integrations and automation that power business intelligence across DoorDash, Deliveroo and Wolt. Our platforms help analysts, Analytics Engineers, Data Scientists, Software Engineers and business teams discover trusted data and make informed decisions at scale. We combine software engineering, platform ownership, and a strong user focus to make BI tooling reliable, secure, scalable and self-service. The team supports the current BI ecosystem while helping shape a more integrated experience across the DoorDash group. About the Role As a Software Engineer on the Core BI team, you will build and operate the backend services, APIs and infrastructure our BI platforms run on. This is a hands-on software and platform engineering role: services and integrations, identity and access automation, observability, reliability and developer experience. BI is the domain you serve (primarily Looker and Sigma, and the systems around them), but the problems are backend and platform problems. You will own problems from discovery through design, implementation, deployment, and operational support. You will work closely with Data Engineers, Analytics Engineers, Data Scientists, Software Engineers, Product Managers and business teams to turn recurring user needs into durable, self-service capabilities. If you're energized by solving technical problems with data and comfortable being deeply embedded across several domains, this role is for you! You’re excited about this opportunity because you will… Design, build, test, deploy and operate the backend services, APIs and automation that the BI platforms across DoorDash, Deliveroo and Wolt depend on Automate the platform lifecycle end to end (provisioning, metadata, permissions, migrations, archival and validation) so administration stops being manual work Build the integrations between BI platforms and the wider ecosystem: warehouses, identity providers, orchestration, CI/CD and internal developer tooling Improve the availability, observability, performance, scalability and security of the systems you own, and carry them in production Use AI tooling as part of how you engineer, and where it fits, build LLM-backed capabilities held to the same reliability and governance bar as anything else we ship Raise the engineering bar on the team, from service design and code review to testing, CI/CD and documentation, and improve the developer experience for everyone building on the platform We’re excited about you because… 3+ years of professional software engineering experience building and operating production backend, platform or infrastructure systems Readable, maintainable, well-tested code in Python, plus comfort with SQL and a working understanding of data modelling and warehousing concepts Experience building and owning APIs, integrations or automation in production, with sound judgement on service boundaries, authentication, data contracts and failure modes Hands-on with CI/CD, containers and Kubernetes, observability, debugging and incident response, and you expect to operate what you build Hands-on experience using AI tools (LLMs, agentic workflows, AI-assisted development) as part of how you engineer, and judgement about where they help and where they do not End-to-end ownership of ambiguous problems, clear communication with technical and non-technical teams, and comfort self-organising in a fast-paced, distributed environment Nice to Have Experience owning or integrating with BI platforms such as Looker, Sigma or comparable tools, and familiarity with semantic layers such as LookML or dbt Experience automating identity and access through Okta, SCIM or role-based access controls, or building multi-tenant platforms across brands and regions Experience shipping LLM-backed features to real users (retrieval, grounding and evaluation), or with MCP, agent frameworks or tool-calling in production Why Join Us? At Deliveroo, you’ll do work that matters—solving real-world problems in a three-sided marketplace that’s constantly evolving. We’re food lovers, problem solvers, community builders and more, brought together by a shared drive to make things better. Working here you can expect to: 🔧 Solve meaningful problems at real scale Work on a complex, always-on marketplace that impacts millions every day. 🌱 See your impact, fast Ship, test and improve ideas quickly in a low-hierarchy, high-ownership environment. 🧠 Grow through challenge and ownership Take on big, ambiguous problems and accelerate your career with strong support. 🌎 A culture built for builders High standards, collaboration, flexible working and continuous learning. ➡️ Want a deeper look at how we build? Check out our Tech Blog . We aim to create a fair process that lets your skills shine—our interview typically includes 3-4 stages. Explore our Engineering Interview Guide here to help you feel confident at each stage. Our Global Structure Deliveroo is now part of DoorDash, bringing together teams with even greater reach, scale, and ambition. Depending on your role, you may collaborate with teammates, systems, and leaders across DoorDash and Wolt. Together, we’re unlocking new possibilities as one global team. Diversity, Equity and Inclusion At Deliveroo, we know that a great workplace reflects the world around us and that true diversity and inclusion make us stronger, more creative, and better at what we do. We’re committed to fostering an environment where everyone can do their best work and feel they belong. We believe in equality of opportunity and welcome candidates from all backgrounds regardless of age, gender, ethnicity, disability, sexual orientation, gender identity, socio-economic background, religion, or belief. If you have a disability or long-term health condition and need support to apply for one of our roles, or require any reasonable adjustments during the recruitment process, you’ll have the opportunity to let us know once you’ve submitted your application. We’ll share details on how to request support so we can ensure you have a fair and equitable experience. If you’re excited about making a real impact in a fast-moving marketplace and growing your career alongside ambitious, supportive teams, we’d love to hear from you! Beware of recruitment scams: DASH Brands will never ask you to pay money or share sensitive financial information during hiring — learn more about DASH Brands' legitimate recruiting process at careersatdoordash.com/recruitment-scam-awareness .

Location: Dayton, OH Physical Therapist – Outpatient Ortho Build Your Outpatient Physical Therapy Career with us! At Drayer Physical Therapy, part of the Upstream Rehabilitation network, you can focus on patient care while advancing your career in outpatient orthopedic physical therapy. We’re hiring at Beavercreek; Centerville; Miamisburg OH for full-time, part-time, and PRN Physical Therapists — including new grads — who want competitive pay, strong mentorship, and a clear path to professional growth that flexes with every stage of your career. Why Clinicians Choose Drayer Competitive Physical Therapist compensation: $78,000 - $105,000 Achievable monthly clinical bonus program, over 90% of clinicians qualify Student loan repayment assistance – directly to the principle of your loan! 100% employer paid medical health insurance premium option available Dental and Vision insurance 401(k) with company match Generous PTO and paid holidays Structured onboarding for new-grad Physical Therapists and ongoing mentorship In-house Residency/Fellowship programs and robust CEU opportunities – with annual allowance! Path to clinic ownership / partnership for long-term growth Modern clinical technology that reduces documentation time so you can focus on patients Supportive team and leadership invested in your success What You’ll Do as a Physical Therapist Develop individualized, evidence-based care plans for your patients Deliver high-quality, outcomes-driven therapy Collaborate with peers in a fun, values-driven team environment Build lasting connections with patients and local providers Continue learning and growing through Upstream’s education and development programs Qualifications Graduate of an accredited Physical Therapy program (DPT or equivalent) Active Ohio Physical Therapist license (or eligible) A Better Place to Build Your PT Career When you join Upstream Rehabilitation, you get the strength of a national network with the feel of a local clinic. Our central support teams handle the administrative work , so you can focus on what matters most — the patient in front of you. With a network of over 1,200 clinics coast-to-coast across 26 brand partners, we lead the industry in quality outcomes, leveraging data, technology, and innovation to reduce paperwork and give you more time for care. You’ll be part of a fantastic group of clinicians who shape our culture, create a positive work environment, and know how to have fun along the way. It’s easy to see why so many Physical Therapists choose to grow their careers with Upstream. Estimated pay ranges listed above are based on several factors including but not limited to your pay class, experience, background and geographic location of the clinic Benefits and eligibility are dependent on employment status and pay class (full-time, part-time, or PRN). Specific details will be provided during the hiring process. Upstream Rehabilitation is an Equal Opportunity Employer that strives to provide an inclusive work environment where our differences are celebrated for the value they bring to our communities, our patients and our teammates. Upstream Rehabilitation does not discriminate on the basis of race, color, national origin, religion, gender (including pregnancy), sexual orientation, age, disability, veteran status, or other status protected under applicable law.

Role Description: — Providing legal support to corporate administrators on various corporate matters, including amendment to or drafting of corporate documents and procedures such as memorandum and articles of association, minutes, resolutions and powers of attorney. — Drafting, reviewing and commenting on corporate agreements including share purchase agreements, subscription agreements, option agreements, loan agreements and shareholder agreements. — Attending court, signing affidavits and/or obtaining court orders for corporate matters including incorporation of companies, amendments to memorandum, reduction of capital, late submissions, mergers, re-domiciliation. — Assisting with the establishment and management of trusts. — Assisting with preparation of applications and dealing with public authorities for obtaining Cyprus citizenship or residency under the Cyprus Investment Program. — Reviewing and advising on transaction structures and legal documents from a Cyprus law perspective. — Providing legal advice on other legal, corporate and commercial matters. Qualifications/skills: — University Degree in Law. — Qualified member of the Cyprus Bar Association. — 5 years+ experience in a similar position (preferably in the ASP industry or law firm). — Excellent drafting skills. — Excellent time management and organizational skills. — Fluent in Greek and English. — Excellent communication skills.

Location: Paris; San Francisco ABOUT MISTRAL Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems across high-stakes industries like finance, manufacturing, defense, healthcare, and the public sector, co-creating customized AI systems that they can run on their terms. We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between Europe, North America, Asia and the Middle East. We are creative, low-ego and team-spirited. Mistral AI is building a new Compute Support team to ensure the reliability, performance, and scalability of our GPU clusters in a Kubernetes environment. As one of the founding members of this team, you will play a pivotal role in shaping its processes, standards, and culture. In this hybrid L1/L2 support role, you will be the first point of contact for customers and internal teams, providing technical guidance, troubleshooting, and issue resolution for compute-related inquiries. You’ll also serve as the escalation point for complex issues, leveraging your deep systems knowledge, Kubernetes expertise, and operational debugging skills to ensure our AI workloads run smoothly at scale. This is a support-focused role that blends system administration, customer-facing communication, and compute infrastructure expertise. While coding is not the primary focus, familiarity with Go for debugging and automation is a plus.     KEY RESPONSIBILITIES FIRST CUSTOMER’S POINT OF CONTACT - Act as the first interlocutor for customers and internal teams, providing timely and effective responses to compute-related inquiries. - Triage and prioritize incoming requests, ensuring SLAs are met for acknowledgment, first response, and resolution. - Gather and analyze initial issue details (e.g., logs, error messages, system metrics) to diagnose problems efficiently. - Provide clear, actionable guidance to customers and internal users, including temporary workarounds where applicable.     TECHNICAL SUPPORT - Serve as the L2 escalation point for Linux, Kubernetes, and compute infrastructure issues, providing deep technical troubleshooting for: - GPU/TPU workloads (e.g., CUDA errors, memory leaks, job failures). - Kubernetes clusters (e.g., pod crashes, node failures, networking misconfigurations). - Bare metal and cloud environments (e.g., AWS EC2, GCP VMs, HPC clusters). - Diagnose and resolve performance bottlenecks, hardware failures, and resource contention in distributed systems. - Analyze system metrics, logs, and traces (e.g., dmesg, journalctl, nvidia-smi, Prometheus, Grafana) to identify root causes of issues. - Participate in on-call rotations to provide 24/7 support for critical compute systems - Nice to have: Optimize system configurations (e.g., kernel parameters, filesystem tuning, network settings) for high-performance computing (HPC) and AI workloads.     KUBERNETES & CONTAINERIZATION - Debug Kubernetes clusters with a focus on: - Pod and node issues (e.g., CrashLoopBackOff, OOMKilled, ImagePullBackOff). - Networking and storage (e.g., CNI plugins, PersistentVolumes, StorageClasses). - Resource management (e.g., Requests/Limits, QOS classes, node affinity). - Troubleshoot container runtime issues (Docker, containerd) such as image pull failures, OCI compliance, or runtime errors. - Collaborate with SRE teams to understand and improve existing IaC (Terraform, Ansible) and Go-based tooling.     DOCUMENTATION & PROCESS IMPROVEMENT - Create and maintain runbooks, playbooks, and internal documentation for common compute issues (e.g., GPU debugging, Kubernetes troubleshooting). - Contribute to post-mortems with actionable follow-ups to prevent recurring incidents. - Train internal teams on best practices for compute infrastructure and debugging. - Help define and refine support processes as a founding member of the new Compute Support team. What We’re Looking For REQUIRED SKILLS & EXPERIENCE - 5+ years of experience in system administration, technical support, or infrastructure operations, with a strong focus on compute-heavy environments (bare metal, cloud, HPC, or virtualization). - Deep Linux/Unix expertise: - Debugging kernel-level issues (e.g., OOM killer, I/O bottlenecks, CPU throttling). - Performance tuning (e.g., sysctl, ulimit, filesystem optimizations). - Networking troubleshooting (e.g., iptables, tcpdump, DNS, NFS, SSH). - Storage management (e.g., LVM, RAID, NVMe, GPU-local storage). - Hands-on Kubernetes experience is mandatory: - Debugging pods, nodes, and clusters (e.g., kubectl describe, kubectl logs, crictl). - Networking and storage (e.g., CNI plugins, PersistentVolumes). - Resource management (e.g., Requests/Limits, QOS classes). - Familiarity with containerization (Docker, containerd) and basic IaC awareness Proficiency with monitoring tools (Prometheus, Grafana, ELK, OpenTelemetry). - Basic scripting/automation skills (preferably Go, but Bash or Python are acceptable for ad-hoc tasks). - Experience with bare metal, virtualization, or HPC environments (e.g., Fluidstack, Coreweave, Vast) is a strong plus. - Excellent problem-solving and communication skills, with the ability to explain technical issues clearly and patiently to both technical and non-technical stakeholders. - Customer-focused mindset with a passion for resolving issues efficiently and improving system reliability. - Ability to work in on-call rotations and handle high-pressure situations with a structured, calm approach. - Commitment to meeting tight SLAs for issue acknowledgment, triage, and first response. WHAT WE OFFER We offer a comprehensive benefits package designed to support your well-being, growth, and work-life balance. Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks. For the most up-to-date details on benefits available in your location, please refer to our Benefits page https://app.notion.com/p/mistralai/Benefits-at-Mistral-36e6ba59a7fe836b93dd01737fcc27ef?source=copy_link. PRIVACY POLICY Your privacy matters to us. You can learn more about how we handle your personal data in our Applicant Privacy Policy https://legal.mistral.ai/terms/applicant-privacy-policy.

Задачи: — Администрирование, конфигурация, оптимизация и поддержка платформы Databricks. — Управление рабочими пространствами Databricks в средах разработки, тестирования и продакшена. — Конфигурация и управление кластерами, пулами, заданиями и рабочими процессами для поддержки ETL, потоковых и ML задач. — Мониторинг состояния платформы, емкости и производительности, проактивное выявление и устранение проблем. — Управление версиями Databricks runtime, библиотеками и интеграциями с облачным хранилищем и сервисами данных. — Реализация и поддержка процедур резервного копирования, восстановления и обеспечения непрерывности бизнеса. — Настройка и поддержка управления идентификацией и доступом (IAM) в Databricks. — Внедрение и соблюдение лучших практик безопасности, включая шифрование, сетевой контроль и политики доступа к данным. — Сотрудничество с командами безопасности и соответствия для соблюдения организационных и нормативных требований. — Поддержка стандартов управления данными (например, Unity Catalog). — Оптимизация конфигураций кластеров, автоскейлинга и планирования заданий для баланса производительности и затрат. — Анализ метрик использования и затрат, внедрение стратегий контроля затрат. — Рекомендации и реализация стратегий настройки и оптимизации платформы для больших данных. — Взаимодействие с инженерами данных, аналитиками и дата-сайентистами для понимания требований и рекомендаций по использованию Databricks. — Предоставление поддержки уровня Tier 2/3 по инцидентам и запросам, связанным с Databricks. — Разработка и поддержка документации, инструкций и стандартных операционных процедур. — Проведение обучения пользователей и обмен знаниями по возможностям и лучшим практикам Databricks. — Автоматизация развертывания рабочих пространств и кластеров, конфигураций и политик с использованием Infrastructure as Code (Terraform, ARM/Bicep, CloudFormation). — Интеграция Databricks с CI/CD пайплайнами для развертывания кода и управления средами. — Поддержка лучших практик контроля версий для ноутбуков, заданий и конфигураций. Требования: — Высшее образование в области компьютерных наук, информационных систем, инженерии или смежных областях либо дополнительный опыт работы 4 года при отсутствии диплома. — Опыт работы не менее 8 лет в администрировании облачных платформ данных или сред больших данных. — Практический опыт администрирования Databricks (Azure, AWS или GCP Databricks). — Глубокое понимание рабочих пространств, кластеров, заданий, пулов и ноутбуков Databricks. — Знание облачных хранилищ (Azure Data Lake Storage, S3, GCS) и сетевых концепций. — Опыт управления идентификацией и доступом в соответствующем облачном провайдере (Azure AD, IAM и др.). — Навыки скриптинга и автоматизации (Python, PowerShell, Bash). — Знакомство с концепциями Spark (кластеры, исполнители, задания, партиции) и вопросами производительности. — Опыт мониторинга и устранения проблем с производительностью и надежностью платформы. — Сильные аналитические и проблемно-ориентированные навыки. — Умение объяснять сложные технические концепции технической и нетехнической аудитории. — Ориентация на клиента и качество сервиса. — Способность работать самостоятельно и в команде в динамичной agile-среде. Желательные квалификации: — Сертификация Databricks (например, Databricks Certified Data Engineer Associate/Professional, Lakehouse Fundamentals, Administrator). — Опыт работы с Unity Catalog и тонкой настройкой доступа к данным. — Опыт работы с CI/CD инструментами (Azure DevOps, GitHub Actions, Jenkins). — Опыт работы с Infrastructure as Code (предпочтительно Terraform). — Опыт работы с инструментами агрегации логов и мониторинга (Azure Monitor, CloudWatch, Datadog, Splunk). — Знание Delta Lake, структурированного стриминга и архитектур Lakehouse. — Опыт работы в корпоративных средах с высокими требованиями к безопасности и соответствию. Условия: — Удаленная работа из любой точки. — Полная занятость, 40 часов в неделю. — Требуется получение и поддержание уровня безопасности Public Trust с обязательной процедурой снятия отпечатков пальцев. — Требования к резидентству в США: проживание в США или территориях последние 5 лет с ограничениями на время отсутствия. — Конкурентная зарплата в диапазоне $10,669 – $14,435 в месяц ($128,039 - $173,229 в год), зависит от опыта и местоположения. — Пакет социальных льгот, включая медицинское страхование, 401(k) с компанией-матчем, оплачиваемый отпуск и другие выплаты. — Гибкий график работы и поддержка баланса работы и личной жизни. — Процесс верификации личности с использованием биометрии и ИИ для предотвращения мошенничества.

Location: Munich, Germany About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role As an Enterprise Account Executive at Anthropic, you'll join the foundational team at the forefront of introducing our cutting-edge AI productivity SaaS solution to large enterprise organizations across DACH. You'll drive the adoption of safe, frontier AI by securing strategic deals with major corporations, technology companies, and research institutions. You'll leverage your consultative sales expertise in the enterprise sector to propel revenue growth while becoming a trusted partner to enterprise stakeholders, helping them embed and deploy AI while uncovering its full range of capabilities across business operations, research, and administration. In collaboration with GTM, Product, and Marketing teams, you'll continuously refine our value proposition, sales methodology, and market positioning to resonate with enterprise decision-makers in the German market. Responsibilities: Win new business and drive revenue for Anthropic within the enterprise sector across DACH. Navigate complex enterprise organizations to reach key decision-makers, educate them about our services, and help them succeed with Anthropic. You'll own the full sales cycle, from first outbound to close Design and execute innovative sales strategies tailored to enterprise procurement cycles and budgeting processes to meet and exceed revenue quotas. Analyze enterprise market landscapes, trends, and dynamics to translate high-level plans into targeted sales activities and campaigns Spearhead market expansion by identifying new use cases within enterprise departments, innovation centers, and operational offices. Collaborate cross-functionally to differentiate our offerings for enterprise applications Navigate complex enterprise stakeholder ecosystems including executives, administrators, IT departments, and procurement offices to build consensus across DACH business culture and practices Inform product roadmaps and features by gathering feedback from enterprise users and conveying market needs from the German enterprise landscape. Provide insights that strengthen our value proposition for enterprise customers Continuously refine the enterprise sales methodology by incorporating learnings into playbooks, templates, and best practices. Identify process improvements that optimize sales productivity and consistency You may be a good fit if you have: Native German speaker with excellent written and verbal communication skills in German and English 7+ years of B2B sales experience in enterprise technology, preferably pharmaceuticals or life sciences A track record of managing complex sales cycles within large enterprise organizations and securing strategic deals by understanding both technical requirements and business use cases Demonstrated ability to navigate enterprise bureaucracies and procurement processes, building consensus among diverse stakeholders including executives, administrators, and IT departments Extensive experience negotiating complex agreements within enterprise procurement frameworks and policies Proven experience exceeding revenue targets in the enterprise sector by effectively managing an evolving pipeline and sales process Excellent communication skills and the ability to present confidently to various enterprise audiences, from technical teams and business analysts to senior executives Deep understanding of enterprise buying cycles, decision-making processes, and key pain points, particularly within the German market A strategic, analytical approach to assessing the enterprise market combined with creative, tactical execution to capture opportunities A passion for and/or experience with advanced AI systems and their applications in enterprise environments. You feel strongly about ensuring frontier AI systems are developed safely and ethically for business use What We Offer: Competitive base salary and commission structure Equity participation in Anthropic's growth Comprehensive benefits package Opportunity to shape the AI industry in DACH and EMEA Professional development and career growth opportunities Location: Munich, Germany (hybrid working available) The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: €265.000 — €310.000 EUR Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: Hybrid About Us At Cloudflare, we are on a mission to help build a better Internet. Today the company runs one of the world’s largest networks that powers millions of websites and other Internet properties for customers ranging from individual bloggers to SMBs to Fortune 500 companies. Cloudflare protects and accelerates any Internet application online without adding hardware, installing software, or changing a line of code. Internet properties powered by Cloudflare all have web traffic routed through its intelligent global network, which gets smarter with every request. As a result, they see significant improvement in performance and a decrease in spam and other attacks. Cloudflare was named to Entrepreneur Magazine’s Top Company Cultures list and ranked among the World’s Most Innovative Companies by Fast Company. At Cloudflare, we’re not looking for people who wait for a polished roadmap; we’re looking for the builders who see the cracks in the Internet that everyone else has simply learned to live with. We value candidates who have the instinct to spot a "normalized" problem and the AI-native curiosity to create a solution using the latest tools. Our culture is built on iteration, leveraging AI to ship faster today to make it better tomorrow, while ensuring that every improvement, no matter how small, is shared across the team to lift everyone up. If you’re the type of person who values curiosity over bureaucracy, and that AI is a partner in solving tough problems to keep the Internet moving forward, you’ll fit right in. About the Role Location: Bengaluru (Hybrid mode) Exp: 3-15yrs We are looking for a Software Engineer to design, build, and scale internal platforms and software tools that power our infrastructure operations. You will treat operational challenges as software problems, developing clean services and developer platforms that make managing our global infrastructure reliable, fast, and effortless. Responsibilities Build Infrastructure Software: Architect, write, and maintain scalable services, APIs, and tools that automate infrastructure provisioning, configuration, and runtime operations. Streamline Developer Workflows: Develop platform software and self-service tools that reduce operational toil, enabling engineering teams to deploy and manage resources safely and efficiently. Drive Engineering Best Practices: Apply standard software engineering practices—including modular design, code reviews, automated testing, and CI/CD—to infrastructure codebases and tooling. Ensure System Reliability: Write observability frameworks, automated testing pipelines, and self-healing tools to maintain high availability and proactively catch operational failures. Collaborate Cross-Functionally: Partner closely with Security, Systems, and Product Engineering teams to integrate infrastructure software seamlessly across the application lifecycle. Desirable Skills, Knowledge, and Experience Demonstrable experience as a Software Engineer building production software, with an emphasis on backend systems, APIs, or developer platform tools. Strong proficiency in modern programming languages (e.g., Go, Python, Java, or Rust) with a track record of writing clean, testable, and maintainable code. Solid understanding of software design patterns, API architecture (REST, gRPC), and data structures applied to operational tooling. Hands-on experience with Infrastructure as Code frameworks (e.g., Terraform, Ansible) and programmatically interacting with infrastructure APIs. Strong analytical, debugging, and system troubleshooting skills to diagnose issues across both application logic and underlying infrastructure. Bonus Points Experience writing software that interacts with cloud providers (AWS, GCP, or Azure) or container orchestration platforms (Kubernetes, Docker). Familiarity with building robust CI/CD systems, automated integration testing, or continuous deployment tooling. Active contributions to open-source developer tools, CLI applications, or infrastructure platforms. What Makes Cloudflare Special? We’re not just a highly ambitious, large-scale technology company. We’re a highly ambitious, large-scale technology company with a soul. Fundamental to our mission to help build a better Internet is protecting the free and open Internet. Project Galileo : Since 2014, we've equipped more than 2,400 journalism and civil society organizations in 111 countries with powerful tools to defend themselves against attacks that would otherwise censor their work, technology already used by Cloudflare’s enterprise customers--at no cost. Athenian Project : In 2017, we created the Athenian Project to ensure that state and local governments have the highest level of protection and reliability for free, so that their constituents have access to election information and voter registration. Since the project, we've provided services to more than 425 local government election websites in 33 states. 1.1.1.1 : We released 1.1.1.1 to help fix the foundation of the Internet by building a faster, more secure and privacy-centric public DNS resolver. This is available publicly for everyone to use - it is the first consumer-focused service Cloudflare has ever released. Here’s the deal - we don’t store client IP addresses never, ever. We will continue to abide by our privacy commitment and ensure that no user data is sold to advertisers or used to target consumers. Sound like something you’d like to be a part of? We’d love to hear from you! Please note that applicants who progress to the offer stage of the interview process may be asked to attend an in-person interview within one of the Cloudflare Offices or Cloudflare Hubs.  More details about this will be available at that stage of the interview process. This position may require access to information protected under U.S. export control laws, including the U.S. Export Administration Regulations. Please note that any offer of employment may be conditioned on your authorization to receive software or technology controlled under these U.S. export laws without sponsorship for an export license. Cloudflare is proud to be an equal opportunity employer.  We are committed to providing equal employment opportunity for all people and place great value in both diversity and inclusiveness.  All qualified applicants will be considered for employment without regard to their, or any other person's, perceived or actual race, color, religion, sex, gender, gender identity, gender expression, sexual orientation, national origin, ancestry, citizenship, age, physical or mental disability, medical condition, family care status, or any other basis protected by law. We are an AA/Veterans/Disabled Employer. Cloudflare provides reasonable accommodations to qualified individuals with disabilities.  Please tell us if you require a reasonable accommodation to apply for a job. Examples of reasonable accommodations include, but are not limited to, changing the application process, providing documents in an alternate format, using a sign language interpreter, or using specialized equipment.  If you require a reasonable accommodation to apply for a job, please contact us via e-mail at hr@cloudflare.com or via mail at 101 Townsend St. San Francisco, CA 94107.

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 would be interested in applicants located in Spain, Sweden, UK, Ireland or Germany. The Opportunity: At Grafana Labs, we build observability tools that help users understand, respond to, and improve their systems – regardless of scale, complexity, or tech stack. We recently started a skunkworks initiative with a mission to bring observability to the rest of the business. Our goal is to make Grafana the single best place where humans and AI agents understand and act on real-time data from across the enterprise. As part of this initiative, we are building an AI-native data intelligence system that gives agents reliable, governed access to enterprise context. This system helps agents retrieve the right data, metadata, definitions, lineage, quality signals, and institutional knowledge without every agent builder having to maintain their own brittle context files. The principle is simple: the context system retrieves, agents decide, and data teams maintain the intelligence. The new team is a mix of seasoned Grafanistas and new hires. We operate with a high degree of autonomy and ownership, both as individuals and as a team. Engineers are empowered to make decisions, move quickly, and validate ideas early – while being supported by a deeply collaborative culture that values curiosity, feedback, and cross-functional partnership. We’re looking for a Staff-level Backend Engineer to help build the first production services for this context layer management system. You will design and ship the core backend architecture that powers ingestion, context storage, retrieval APIs, and agent-facing integrations. This is an early-stage role on a high-autonomy team, so you should be comfortable working through ambiguity, making pragmatic architectural decisions, and building systems that can evolve from internal dogfooding to production-grade SaaS. As the team matures, there’s a broad opportunity to expand or redefine this role based on impact and initiative. What You'll Be Doing: Build the core backend services: Design, implement, test, and operate the first services for context ingestion, context indexing, retrieval orchestration, API access, source configuration, and system administration. Create a scalable SaaS foundation: Help define and build the architecture for a multi-tenant service, including tenant isolation, usage tracking, quotas, audit logs, background jobs, and reliable service boundaries. Power agent-facing retrieval workflows: Build APIs and service interfaces that allow AI agents, MCP tools, CLIs, and internal applications to retrieve relevant context, provenance, confidence signals, and warnings. Work across product and infrastructure: Partner with the team to make practical tradeoffs between fast experimentation and long-term reliability, especially as the project moves from prototype to production. Operate what you build: Instrument services with metrics, logs, traces, alerts, and dashboards. Use observability tools to understand system behavior and improve reliability. Contribute to technical direction: Help shape the architecture, service boundaries, storage choices, API contracts, deployment patterns, and engineering practices for a new product area. Effective communication: You’ll be working in a highly dynamic and collaborative environment, so we need someone who can communicate effectively and contribute across teams. Ownership and impact: Take full ownership of the AI solutions you develop, ensuring they are not only innovative but also scalable, maintainable, and aligned with real user workflows. What Makes You a Great Fit: Strong engineering skills: Solid experience building production-grade, user-facing software systems. You’re a self-starter, capable of tackling complex engineering problems and making UI design decisions with minimal supervision. AI experience with a practical mindset: You’re familiar with AI technologies and frameworks, and you focus on delivering high-quality solutions that work in the real world, not just in theory. Quick iteration and experimentation: You’re comfortable releasing prototypes, collecting feedback, and iterating with a pragmatic mindset. Proven initiative: You take ownership and drive projects forward, pushing boundaries to find the most impactful solutions. You can deal with ambiguity and are able to define scope where things are loosely defined. Collaborative attitude: You communicate effectively with your peers. You’re open to feedback, and you bring a solutions-oriented mindset to the table. Experience with LLMs, prompt engineering, and building applications powered by GenAI. Proven track record of delivering software that made it into production and is actively used by users. Exposure to working in cloud-native environments (e.g., AWS, GCP, Azure). Experience using observability tools to understand and troubleshoot system behavior. Bonus Points for: Experience building or working with agent frameworks or multi‑agent workflows. Experience as a data analyst or work with data platforms (e.g., Looker, Tableau, PowerBI, Snowflake, DataBricks) Experience building tools for data engineering. How we work: We are a remote-first team that meets regularly over video and does most of our work asynchronously, in writing. We value creativity, diverse perspectives, and clear communication. Tempo is relied upon by prominent global organizations to monitor critical applications and infrastructure, and we expect everyone on the team, including our Staff engineers, to contribute ideas that make it a more reliable, more useful, and more loved product. Compensation & Rewards: In the United Kingdom, the Base compensation range for this role is GBP 103,958 - GBP 124,750 .  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 . *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 *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: Germany (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 would be interested in applicants located in Spain, Sweden, UK, Ireland or Germany. The Opportunity: At Grafana Labs, we build observability tools that help users understand, respond to, and improve their systems – regardless of scale, complexity, or tech stack. We recently started a skunkworks initiative with a mission to bring observability to the rest of the business. Our goal is to make Grafana the single best place where humans and AI agents understand and act on real-time data from across the enterprise. As part of this initiative, we are building an AI-native data intelligence system that gives agents reliable, governed access to enterprise context. This system helps agents retrieve the right data, metadata, definitions, lineage, quality signals, and institutional knowledge without every agent builder having to maintain their own brittle context files. The principle is simple: the context system retrieves, agents decide, and data teams maintain the intelligence. The new team is a mix of seasoned Grafanistas and new hires. We operate with a high degree of autonomy and ownership, both as individuals and as a team. Engineers are empowered to make decisions, move quickly, and validate ideas early – while being supported by a deeply collaborative culture that values curiosity, feedback, and cross-functional partnership. We’re looking for a Staff-level Backend Engineer to help build the first production services for this context layer management system. You will design and ship the core backend architecture that powers ingestion, context storage, retrieval APIs, and agent-facing integrations. This is an early-stage role on a high-autonomy team, so you should be comfortable working through ambiguity, making pragmatic architectural decisions, and building systems that can evolve from internal dogfooding to production-grade SaaS. As the team matures, there’s a broad opportunity to expand or redefine this role based on impact and initiative. What You'll Be Doing: Build the core backend services: Design, implement, test, and operate the first services for context ingestion, context indexing, retrieval orchestration, API access, source configuration, and system administration. Create a scalable SaaS foundation: Help define and build the architecture for a multi-tenant service, including tenant isolation, usage tracking, quotas, audit logs, background jobs, and reliable service boundaries. Power agent-facing retrieval workflows: Build APIs and service interfaces that allow AI agents, MCP tools, CLIs, and internal applications to retrieve relevant context, provenance, confidence signals, and warnings. Work across product and infrastructure: Partner with the team to make practical tradeoffs between fast experimentation and long-term reliability, especially as the project moves from prototype to production. Operate what you build: Instrument services with metrics, logs, traces, alerts, and dashboards. Use observability tools to understand system behavior and improve reliability. Contribute to technical direction: Help shape the architecture, service boundaries, storage choices, API contracts, deployment patterns, and engineering practices for a new product area. Effective communication: You’ll be working in a highly dynamic and collaborative environment, so we need someone who can communicate effectively and contribute across teams. Ownership and impact: Take full ownership of the AI solutions you develop, ensuring they are not only innovative but also scalable, maintainable, and aligned with real user workflows. What Makes You a Great Fit: Strong engineering skills: Solid experience building production-grade, user-facing software systems. You’re a self-starter, capable of tackling complex engineering problems and making UI design decisions with minimal supervision. AI experience with a practical mindset: You’re familiar with AI technologies and frameworks, and you focus on delivering high-quality solutions that work in the real world, not just in theory. Quick iteration and experimentation: You’re comfortable releasing prototypes, collecting feedback, and iterating with a pragmatic mindset. Proven initiative: You take ownership and drive projects forward, pushing boundaries to find the most impactful solutions. You can deal with ambiguity and are able to define scope where things are loosely defined. Collaborative attitude: You communicate effectively with your peers. You’re open to feedback, and you bring a solutions-oriented mindset to the table. Experience with LLMs, prompt engineering, and building applications powered by GenAI. Proven track record of delivering software that made it into production and is actively used by users. Exposure to working in cloud-native environments (e.g., AWS, GCP, Azure). Experience using observability tools to understand and troubleshoot system behavior. Bonus Points for: Experience building or working with agent frameworks or multi‑agent workflows. Experience as a data analyst or work with data platforms (e.g., Looker, Tableau, PowerBI, Snowflake, DataBricks) Experience building tools for data engineering. How we work: We are a remote-first team that meets regularly over video and does most of our work asynchronously, in writing. We value creativity, diverse perspectives, and clear communication. Tempo is relied upon by prominent global organizations to monitor critical applications and infrastructure, and we expect everyone on the team, including our Staff engineers, to contribute ideas that make it a more reliable, more useful, and more loved product. Compensation & Rewards: In Germany, the Base compensation range for this role is EUR 100,000 - EUR 125,000 .  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 . *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 *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: Republic of Ireland (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 would be interested in applicants located in Spain, Sweden, UK, Ireland or Germany. The Opportunity: At Grafana Labs, we build observability tools that help users understand, respond to, and improve their systems – regardless of scale, complexity, or tech stack. We recently started a skunkworks initiative with a mission to bring observability to the rest of the business. Our goal is to make Grafana the single best place where humans and AI agents understand and act on real-time data from across the enterprise. As part of this initiative, we are building an AI-native data intelligence system that gives agents reliable, governed access to enterprise context. This system helps agents retrieve the right data, metadata, definitions, lineage, quality signals, and institutional knowledge without every agent builder having to maintain their own brittle context files. The principle is simple: the context system retrieves, agents decide, and data teams maintain the intelligence. The new team is a mix of seasoned Grafanistas and new hires. We operate with a high degree of autonomy and ownership, both as individuals and as a team. Engineers are empowered to make decisions, move quickly, and validate ideas early – while being supported by a deeply collaborative culture that values curiosity, feedback, and cross-functional partnership. We’re looking for a Staff-level Backend Engineer to help build the first production services for this context layer management system. You will design and ship the core backend architecture that powers ingestion, context storage, retrieval APIs, and agent-facing integrations. This is an early-stage role on a high-autonomy team, so you should be comfortable working through ambiguity, making pragmatic architectural decisions, and building systems that can evolve from internal dogfooding to production-grade SaaS. As the team matures, there’s a broad opportunity to expand or redefine this role based on impact and initiative. What You'll Be Doing: Build the core backend services: Design, implement, test, and operate the first services for context ingestion, context indexing, retrieval orchestration, API access, source configuration, and system administration. Create a scalable SaaS foundation: Help define and build the architecture for a multi-tenant service, including tenant isolation, usage tracking, quotas, audit logs, background jobs, and reliable service boundaries. Power agent-facing retrieval workflows: Build APIs and service interfaces that allow AI agents, MCP tools, CLIs, and internal applications to retrieve relevant context, provenance, confidence signals, and warnings. Work across product and infrastructure: Partner with the team to make practical tradeoffs between fast experimentation and long-term reliability, especially as the project moves from prototype to production. Operate what you build: Instrument services with metrics, logs, traces, alerts, and dashboards. Use observability tools to understand system behavior and improve reliability. Contribute to technical direction: Help shape the architecture, service boundaries, storage choices, API contracts, deployment patterns, and engineering practices for a new product area. Effective communication: You’ll be working in a highly dynamic and collaborative environment, so we need someone who can communicate effectively and contribute across teams. Ownership and impact: Take full ownership of the AI solutions you develop, ensuring they are not only innovative but also scalable, maintainable, and aligned with real user workflows. What Makes You a Great Fit: Strong engineering skills: Solid experience building production-grade, user-facing software systems. You’re a self-starter, capable of tackling complex engineering problems and making UI design decisions with minimal supervision. AI experience with a practical mindset: You’re familiar with AI technologies and frameworks, and you focus on delivering high-quality solutions that work in the real world, not just in theory. Quick iteration and experimentation: You’re comfortable releasing prototypes, collecting feedback, and iterating with a pragmatic mindset. Proven initiative: You take ownership and drive projects forward, pushing boundaries to find the most impactful solutions. You can deal with ambiguity and are able to define scope where things are loosely defined. Collaborative attitude: You communicate effectively with your peers. You’re open to feedback, and you bring a solutions-oriented mindset to the table. Experience with LLMs, prompt engineering, and building applications powered by GenAI. Proven track record of delivering software that made it into production and is actively used by users. Exposure to working in cloud-native environments (e.g., AWS, GCP, Azure). Experience using observability tools to understand and troubleshoot system behavior. Bonus Points for: Experience building or working with agent frameworks or multi‑agent workflows. Experience as a data analyst or work with data platforms (e.g., Looker, Tableau, PowerBI, Snowflake, DataBricks) Experience building tools for data engineering. How we work: We are a remote-first team that meets regularly over video and does most of our work asynchronously, in writing. We value creativity, diverse perspectives, and clear communication. Tempo is relied upon by prominent global organizations to monitor critical applications and infrastructure, and we expect everyone on the team, including our Staff engineers, to contribute ideas that make it a more reliable, more useful, and more loved product. Compensation & Rewards: In the Republic of Ireland, the Base compensation range for this role is EUR 107,000 - EUR 134,000 .  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 . *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 *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: Sweden (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 would be interested in applicants located in Spain, Sweden, UK, Ireland or Germany. The Opportunity: At Grafana Labs, we build observability tools that help users understand, respond to, and improve their systems – regardless of scale, complexity, or tech stack. We recently started a skunkworks initiative with a mission to bring observability to the rest of the business. Our goal is to make Grafana the single best place where humans and AI agents understand and act on real-time data from across the enterprise. As part of this initiative, we are building an AI-native data intelligence system that gives agents reliable, governed access to enterprise context. This system helps agents retrieve the right data, metadata, definitions, lineage, quality signals, and institutional knowledge without every agent builder having to maintain their own brittle context files. The principle is simple: the context system retrieves, agents decide, and data teams maintain the intelligence. The new team is a mix of seasoned Grafanistas and new hires. We operate with a high degree of autonomy and ownership, both as individuals and as a team. Engineers are empowered to make decisions, move quickly, and validate ideas early – while being supported by a deeply collaborative culture that values curiosity, feedback, and cross-functional partnership. We’re looking for a Staff-level Backend Engineer to help build the first production services for this context layer management system. You will design and ship the core backend architecture that powers ingestion, context storage, retrieval APIs, and agent-facing integrations. This is an early-stage role on a high-autonomy team, so you should be comfortable working through ambiguity, making pragmatic architectural decisions, and building systems that can evolve from internal dogfooding to production-grade SaaS. As the team matures, there’s a broad opportunity to expand or redefine this role based on impact and initiative. What You'll Be Doing: Build the core backend services: Design, implement, test, and operate the first services for context ingestion, context indexing, retrieval orchestration, API access, source configuration, and system administration. Create a scalable SaaS foundation: Help define and build the architecture for a multi-tenant service, including tenant isolation, usage tracking, quotas, audit logs, background jobs, and reliable service boundaries. Power agent-facing retrieval workflows: Build APIs and service interfaces that allow AI agents, MCP tools, CLIs, and internal applications to retrieve relevant context, provenance, confidence signals, and warnings. Work across product and infrastructure: Partner with the team to make practical tradeoffs between fast experimentation and long-term reliability, especially as the project moves from prototype to production. Operate what you build: Instrument services with metrics, logs, traces, alerts, and dashboards. Use observability tools to understand system behavior and improve reliability. Contribute to technical direction: Help shape the architecture, service boundaries, storage choices, API contracts, deployment patterns, and engineering practices for a new product area. Effective communication: You’ll be working in a highly dynamic and collaborative environment, so we need someone who can communicate effectively and contribute across teams. Ownership and impact: Take full ownership of the AI solutions you develop, ensuring they are not only innovative but also scalable, maintainable, and aligned with real user workflows. What Makes You a Great Fit: Strong engineering skills: Solid experience building production-grade, user-facing software systems. You’re a self-starter, capable of tackling complex engineering problems and making UI design decisions with minimal supervision. AI experience with a practical mindset: You’re familiar with AI technologies and frameworks, and you focus on delivering high-quality solutions that work in the real world, not just in theory. Quick iteration and experimentation: You’re comfortable releasing prototypes, collecting feedback, and iterating with a pragmatic mindset. Proven initiative: You take ownership and drive projects forward, pushing boundaries to find the most impactful solutions. You can deal with ambiguity and are able to define scope where things are loosely defined. Collaborative attitude: You communicate effectively with your peers. You’re open to feedback, and you bring a solutions-oriented mindset to the table. Experience with LLMs, prompt engineering, and building applications powered by GenAI. Proven track record of delivering software that made it into production and is actively used by users. Exposure to working in cloud-native environments (e.g., AWS, GCP, Azure). Experience using observability tools to understand and troubleshoot system behavior. Bonus Points for: Experience building or working with agent frameworks or multi‑agent workflows. Experience as a data analyst or work with data platforms (e.g., Looker, Tableau, PowerBI, Snowflake, DataBricks) Experience building tools for data engineering. How we work: We are a remote-first team that meets regularly over video and does most of our work asynchronously, in writing. We value creativity, diverse perspectives, and clear communication. Tempo is relied upon by prominent global organizations to monitor critical applications and infrastructure, and we expect everyone on the team, including our Staff engineers, to contribute ideas that make it a more reliable, more useful, and more loved product. Compensation & Rewards: In Sweden, the Base compensation range for this role is SEK 878,578 - SEK 1,054,294 .  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 . *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 *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: 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 would be interested in applicants located in Spain, Sweden, UK, Ireland or Germany. The Opportunity: At Grafana Labs, we build observability tools that help users understand, respond to, and improve their systems – regardless of scale, complexity, or tech stack. We recently started a skunkworks initiative with a mission to bring observability to the rest of the business. Our goal is to make Grafana the single best place where humans and AI agents understand and act on real-time data from across the enterprise. As part of this initiative, we are building an AI-native data intelligence system that gives agents reliable, governed access to enterprise context. This system helps agents retrieve the right data, metadata, definitions, lineage, quality signals, and institutional knowledge without every agent builder having to maintain their own brittle context files. The principle is simple: the context system retrieves, agents decide, and data teams maintain the intelligence. The new team is a mix of seasoned Grafanistas and new hires. We operate with a high degree of autonomy and ownership, both as individuals and as a team. Engineers are empowered to make decisions, move quickly, and validate ideas early – while being supported by a deeply collaborative culture that values curiosity, feedback, and cross-functional partnership. We’re looking for a Staff-level Backend Engineer to help build the first production services for this context layer management system. You will design and ship the core backend architecture that powers ingestion, context storage, retrieval APIs, and agent-facing integrations. This is an early-stage role on a high-autonomy team, so you should be comfortable working through ambiguity, making pragmatic architectural decisions, and building systems that can evolve from internal dogfooding to production-grade SaaS. As the team matures, there’s a broad opportunity to expand or redefine this role based on impact and initiative. What You'll Be Doing: Build the core backend services: Design, implement, test, and operate the first services for context ingestion, context indexing, retrieval orchestration, API access, source configuration, and system administration. Create a scalable SaaS foundation: Help define and build the architecture for a multi-tenant service, including tenant isolation, usage tracking, quotas, audit logs, background jobs, and reliable service boundaries. Power agent-facing retrieval workflows: Build APIs and service interfaces that allow AI agents, MCP tools, CLIs, and internal applications to retrieve relevant context, provenance, confidence signals, and warnings. Work across product and infrastructure: Partner with the team to make practical tradeoffs between fast experimentation and long-term reliability, especially as the project moves from prototype to production. Operate what you build: Instrument services with metrics, logs, traces, alerts, and dashboards. Use observability tools to understand system behavior and improve reliability. Contribute to technical direction: Help shape the architecture, service boundaries, storage choices, API contracts, deployment patterns, and engineering practices for a new product area. Effective communication: You’ll be working in a highly dynamic and collaborative environment, so we need someone who can communicate effectively and contribute across teams. Ownership and impact: Take full ownership of the AI solutions you develop, ensuring they are not only innovative but also scalable, maintainable, and aligned with real user workflows. What Makes You a Great Fit: Strong engineering skills: Solid experience building production-grade, user-facing software systems. You’re a self-starter, capable of tackling complex engineering problems and making UI design decisions with minimal supervision. AI experience with a practical mindset: You’re familiar with AI technologies and frameworks, and you focus on delivering high-quality solutions that work in the real world, not just in theory. Quick iteration and experimentation: You’re comfortable releasing prototypes, collecting feedback, and iterating with a pragmatic mindset. Proven initiative: You take ownership and drive projects forward, pushing boundaries to find the most impactful solutions. You can deal with ambiguity and are able to define scope where things are loosely defined. Collaborative attitude: You communicate effectively with your peers. You’re open to feedback, and you bring a solutions-oriented mindset to the table. Experience with LLMs, prompt engineering, and building applications powered by GenAI. Proven track record of delivering software that made it into production and is actively used by users. Exposure to working in cloud-native environments (e.g., AWS, GCP, Azure). Experience using observability tools to understand and troubleshoot system behavior. Bonus Points for: Experience building or working with agent frameworks or multi‑agent workflows. Experience as a data analyst or work with data platforms (e.g., Looker, Tableau, PowerBI, Snowflake, DataBricks) Experience building tools for data engineering. How we work: We are a remote-first team that meets regularly over video and does most of our work asynchronously, in writing. We value creativity, diverse perspectives, and clear communication. Tempo is relied upon by prominent global organizations to monitor critical applications and infrastructure, and we expect everyone on the team, including our Staff engineers, to contribute ideas that make it a more reliable, more useful, and more loved product. Compensation & Rewards: In Spain, the Base compensation range for this role is EUR 94,025 - EUR 112,830 . 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: Singapore DRW is a diversified trading firm with over 3 decades of experience bringing sophisticated technology and exceptional people together to operate in markets around the world. We value autonomy and the ability to quickly pivot to capture opportunities, so we operate using our own capital and trading at our own risk. Headquartered in Chicago with offices throughout the U.S., Canada, Europe, and Asia, we trade a variety of asset classes including Fixed Income, ETFs, Equities, FX, Commodities and Energy across all major global markets. We have also leveraged our expertise and technology to expand into three non-traditional strategies: real estate, venture capital and cryptoassets. We operate with respect, curiosity and open minds. The people who thrive here share our belief that it’s not just what we do that matters–it's how we do it. DRW is a place of high expectations, integrity, innovation and a willingness to challenge consensus. As a Trade Support Engineer , you’ll have the opportunity to learn and grow while supporting our trading technology. You’ll work closely with trading, infrastructure, and software development teams to keep systems running smoothly. You’ll gain experience working with exchanges, traders, and developers to help resolve technical issues and assist with ongoing improvements. Qualifications & Skills: 1–3 years of experience in trade support, systems administration, site reliability engineering, or a related technical role (internships or projects count!) Bachelor’s Degree in Computer Science, Engineering, or related STEM field Basic understanding of networking concepts (TCP/IP, DNS, DHCP) and ability to use common troubleshooting tools Exposure to containerized applications (e.g., Docker, Kubernetes) is a plus Ability to think through and troubleshoot technical problems under time pressure Clear communication skills, written and verbal Familiarity with scripting languages (e.g., Python, Bash, PowerShell) for basic automation tasks Experience with Linux/Unix environments (basic command line skills) What You’ll Be Working On: Keeping trading systems healthy and available by proactively spotting and resolving potential issues Responding to trader and engineer request with both urgency and understanding of the bigger operational context Participating in the onboarding of new desks and systems, thinking ahead about how they’ll fit into the broader ecosystem Learning the trading environment deeply so you can anticipate challenges and suggest improvements What we Value: Intent over Instruction: we’ll share what we’re trying to achieve; you’ll help determine the best way to get there Responsibility and trustworthiness: you follow through and communicate progress and results clearly Continuous learning and adaptability: when conditions change, you adjust while keeping the mission in mind Collaboration: you seek input when needed but are comfortable making informed decisions yourself About You: You enjoy diagnosing problems and thinking creatively about solutions You’re excited about fast-moving environments and want to see your work make an impact quickly You learn by doing and feel comfortable diving into unfamiliar technology For more information about DRW's processing activities and our use of job applicants' data, please view our Privacy Notice at https://drw.com/privacy-notice . California residents, please review the California Privacy Notice for information about certain legal rights at https://drw.com/california-privacy-notice . #LI-PR1