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Messy spend management is tricky business. And tedious processes are a lose-lose situation for all involved, not just finance. At Pleo, we're changing that. We build spend solutions that make managing money seamless, empowering, and surprisingly effective for finance teams and employees alike - with a vision to help all businesses ‘go beyond’. The word ‘Pleo’ actually means ‘more than you’d expect’, and living by that mantra has been the secret to our success over the last 10 years. Now, we’re at a pivotal moment in our journey; every move we make has a direct impact on our 40,000+ customers, our business, and our collective success. We need people who take pride in uncovering customer needs, who turn complex problems into simple solutions, challenge the way things are done (respectfully), and always aim high. With great ambitions driving us forward, we can’t say we’ve got this whole thing figured out. And frankly, that’s half the fun! What we can say is that we’re a driven, progressive, and, importantly, a kind bunch of 850+ people from over 100 nationalities, all committed to delivering the future of business spending, together. Pleo is investing heavily in AI-powered features across the product. You will be part of the GenAI Core team which is responsible for the horizontal platform infrastructure that makes this possible. They look afterLLM routing, MCP servers, vector search infrastructure, evaluation frameworks, and agentic tooling. This is a hands-on backend/platform engineering role at the intersection of distributed systems and modern AI engineering. You will help design, build, and operate the shared AI infrastructure used by product teams across Pleo, with a strong focus on reliability, observability, security, and developer experience. You'll be reporting to the Engineering Manager for the GenAI Platform team and will be working closely with senior and staff Engineers in GenAI Core. You will also collaborate with Applied AI Engineers, Data Scientists, and product engineering teams across the business. As a Senior GenAI Platform Engineer you will: Design, build, and operate core GenAI platform components used by product teams at Pleo, including LLM routing gateway, vector search and RAG infrastructure, tool registry and MCP gateway, AI observability and evaluation tooling (tracing LLM calls, supporting human and automated evaluation, detecting drift, and tracking costs) and infrastructure for multi-step, long-running agentic workflows. Own production-quality delivery of platform features, from design through rollout, monitoring, and follow-up. Contribute to resilient system design: sensible APIs, failure handling, rate limiting, retries, idempotency, and safe change management. Improve reliability and observability through metrics, dashboards, alerting, incident follow-ups, and operational improvements. Partner with Applied AI Engineers and product teams to understand platform needs and help them build AI-powered features safely. Build internal SDKs, templates, and guardrails that let product engineers build AI features without needing deep infrastructure expertise. Support other engineers through pairing, code reviews, technical feedback, and clear documentation. Help evaluate build-vs-buy decisions in the rapidly evolving LLMOps tooling landscape. You will thrive in this role if you have: Strong backend/systems engineering background, with experience building and operating production services with reliability and observability requirements. Experience designing and delivering shared platform or infrastructure components used by multiple teams. Strong production ownership: monitoring, alerting, incident response, debugging, and post-incident learning. Distributed systems fundamentals, including async workflows, idempotency, consistency tradeoffs, and designing for failure. Hands-on experience with LLM APIs or strong interest in learning their production failure modes: rate limits, context windows, multi-vendor routing, latency variance, and cost control. Security mindset for AI systems, including prompt injection risks, PII in logs, data leakage, and safe credential handling. Strong programming experience in either a JVM-based language or Python. We operate a polyglot platform with components written in both Kotlin and Python, and you’ll be expected to contribute to both. Clear communication and collaboration skills, especially when working with product teams and other engineers to turn ambiguous platform needs into practical solutions. This role is a good fit for you if: You are passionate about developer experience and get excited about being a force multiplier for engineering teams. You have moved past prototyping and have a deep understanding of the realities of LLMOps, data retrieval, prompt and context engineering, as well as model evaluation in production. You understand both the engineering and the data side of things, and are comfortable switching languages or technologies to achieve your goals. This role is not a good fit for you if: You are primarily interested in model research or algorithm development. This role is about building the tooling that enables product teams to ship AI features to production. You prefer building customer-facing features. Your key users will be other Pleo Engineers. You cannot explain AI trade-offs clearly to non-technical stakeholders. You will regularly work with Product Managers, Designers, and business leaders who need to understand what is and isn't possible. In your first 6 months at Pleo, you’ll: Develop a clear picture of how AI features are currently being built at Pleo and where the biggest infrastructure bottlenecks are. Take ownership of a core platform component such as the LLM gateway, RAG infrastructure, MCP gateway, or evaluation framework, and improve its reliability, observability, or developer experience. Deliver production-ready improvements with clear rollout plans, monitoring, and operational documentation. Partner with Applied AI Engineers and product teams to identify platform investments that would accelerate their work. Contribute to Pleo's internal standards for AI feature development: how we evaluate quality, manage prompts, and monitor production AI systems. We’re committed to helping you develop your career, whether that means taking on bigger projects, stepping into leadership, or acquiring new skills! Please note: We can hire on a remote, hybrid or in-person set-up in any of the locations listed on the advert but you will need to be physically based in the country of your choice with a valid right to work. We are unable to offer visa sponsorship for this role. Your own Pleo card (no more out-of-pocket spending!) Lunch is on us for your work days - enjoy catered meals or receive a lunch allowance based on your local office Comprehensive private healthcare - depending on your location, coverage options include Vitality, Alan or Médis We offer 25 days of holiday + your public holidays For our Team, we offer both hybrid and fully remote working options We use MyndUp to give our employees access to free mental health and well-being support with great success so far Paid parental leave - we want to make sure that we're supportive of families and help you feel that you don't have to compromise your family due to work We want to ensure you are set-up for success and understand what will be expected of you. If your application is successful, our interview process is as follows: Intro call: A 30-minute chat with our Talent Partner to discuss the role and your background. Technical screening: A 15 to 30 minute call with our Talent Partner to check your knowledge of key technical topics. System design interview: A 75-minute practical session with our engineers focusing on scoping and designing an AI feature. Live coding interview: A 75-minute practical session with our engineers focusing on implementing your solution. Hiring Manager interview: A 60-minute conversation to deep dive into your knowledge and experience. Final interview: A leadership interview focusing on your behavioural, communication and collaboration skills. Transparency is important to us so we also wanted to share some insights about what we’re looking for in applications to ensure you can set yourself up for success! CV writing and content: we receive a lot of CVs, and many of them are AI-generated. We love seeing people leverage AI—it’s a big focus for us internally too—but without human intervention, these CVs can sometimes become generic and fail to show a candidate in the best light. What we're really looking for is the specific details of real impact that only you know from your previous experience. A top tip from us is to use the “Achieved X, as measured by Y, by doing Z” formula (credit: Laszlo Bock, ~2014) to give a really clear picture of what you’ve worked on. A final note: including links to your previous companies' websites is a huge help and allows us to truly understand your background! Application care: every single application we receive is reviewed by a human (yes, hundreds of them) because we believe that candidates' efforts should be matched by an equal level of human care. This means that we expect a similar level of attention put into your application. Read and answer the application questions carefully, they make a huge difference in our decision-making process. Profile to role fit: this is neither a research-driven nor a traditional data or software engineering role. We're looking for someone with proven experience building platforms or tooling for agentic AI. We expect senior-level engineers to be able to work fully autonomously on an entire product feature from design to implementation. English first. Since it's our company language, please submit your application in English. You’ll be using it a lot if you join us. A fair look for everyone. Our talent team reads every single application to ensure the process is fair. To keep things running smoothly, we only accept applications through our system—our support team can’t pass on calls or emails. Diversity drives us. We can only reach our goals if our team reflects the world around us. That starts with you hitting apply, even if you don't tick every single box. We encourage people from all backgrounds and experiences to join us. Interview at your best. We want you to feel comfortable throughout the process. If you have any accessibility requirements or need a specific format, email belonging@pleo.io. We’ll design a process that works for you. Your data is safe. When you apply, we process your personal data as a data processor. For more information on how Pleo processes personal data, read our Privacy Policy _. Applying for multiple roles? Nothing is stopping you, and we assess every role independently. However, we do look for alignment, so make sure you can explain why your interest and experience are right for each specific role. Reapplying. If you’re applying for the same role again, please wait six months from your last decision before hitting submit.

THE ROLE 📝 At Form3, our mission is simple but powerful: To design, build and run the technology that will power the future of payments. As a Senior Software Engineer, you will be part of a team working on the critical infrastructure that underpins global payments. This is a rare opportunity to help shape the systems that move money at scale both securely, reliably and in real time. WHAT YOU’LL BE DOING 🏗️ • Designing, building, and running cloud-native microservices in Go that are the backbone of our real-time payments platform, • Building systems that are highly available, low-latency, and scalable, handling billions of payment requests with precision and resilience, • Taking full ownership of services: from initial design and implementation to deployment and production support, • Working with a mindset where cost-efficiency, observability, and operational excellence are core to how we build, • Collaborating closely with other engineers in a flat, autonomous team structure, with a strong focus on code quality, simplicity, and continuous improvement, • Working with modern tooling and technologies such as Golang, Kubernetes, CockroachDB and NATS JetStream in a highly automated DevOps environment WE’RE LOOKING FOR 🔍 • Deep understanding of designing and building distributed systems, • Enjoys working on complex challenges within critical software where high performance and robustness are essential, • Familiarity with cloud and containerisation technologies, test automation tools and CI/CD pipelines, • Interest in owning projects end-to-end and supporting them as they go live in production, • Appreciation of clean code and software engineering best-practice, • Experience with Go, along with a “right tool for the job” mentality, • Great communication skills who enjoy sharing knowledge and collaborating with others TECH STACK ⚙️ Here are a few of the tools and methodologies we utilise: • Infrastructure: AWS, GCP, Azure, Kubernetes, • Platform: CockroachDB, NATS JetStream, Elasticsearch, Vault, Cilium, • Tools: Terraform, Flux, GitHub, Prometheus, Pact.io, Tilt, • Code: Go (and a little Java), containerised microservices, CQRS, open source, • Ways of working: TDD/BDD, Pair Programming, 100% remote, SecDevOps THE TEAM 👥 At Form3, our engineering team is the backbone of everything we do. A remote first group of highly skilled, collaborative, and forward-thinking individuals passionate about building secure, scalable, and reliable payment technology. We operate in a true DevOps model, where engineers take full ownership of the software lifecycle, from design and implementation to deployment and operation in production. We value clean code, automation, simplicity, and continuous improvement. Our engineers work in small, autonomous teams with a flat structure and minimal bureaucracy, promoting a culture of trust, transparency, and accountability. We use modern technologies (Golang, Kubernetes, AWS, and more) and embrace a cloud-native, event-driven architecture to support our microservices platform. Expect a culture of knowledge sharing, where pull requests are thoughtful conversations, and technical decisions are made collectively and with care. If you're motivated by solving complex problems at scale and enjoy working with other talented engineers who care deeply about doing things right, you'll feel right at home here. INTERVIEW PROCESS ✍️ Stage 1: Screening call with Talent Team Stage 2: Take home test Stage 3: Technical interview Stage 4: Team interview We always aim to stick to the above process, however there may be occasions when an additional interview stage is needed for us to be sure we find the best fit for the role! HIRING LOCATIONS 📍 We can accept applications from the following countries; Germany, Netherlands, Spain, Portugal & UK ABOUT FORM3 💭 Revolutionising the world of payments with our cutting-edge technology and innovative solutions. For more information about Form3, check out the following pages: | | | | _ OUR DEI&B COMMITMENT We hire talented people from a variety of backgrounds and experiences and are committed to a work environment based on diversity, open-mindedness and curiosity. We’re united by our company values (we even created them together!) and we celebrate our unique differences. Our employee lifecycle processes are designed to embrace equal opportunity and prevent discrimination against our people regardless of personal characteristics. It is our strong belief that the more inclusive and belonging we are as a business, the better our work will be. As an inclusive employer, we guarantee to interview all neurodiverse and physically disabled applicants who meet the minimum criteria for this role. We also encourage candidates to notify us of any reasonable adjustments that may be required during the recruitment process. This includes providing job adverts in alternative, accessible formats or adjustments required at interview stage. If you consider yourself to be neurodiverse or physically disabled under the UN definition of disability and would like to be considered under this scheme and/or require any reasonable adjustments please let us know by sending an email to clearly stating your consent for us to process this data. For more information please refer to our .

IAM SailPoint & Active Directory specialist. Hybrid working - 2 days per week on site. Our client, a leading finance company, is looking to hire an IAM specialist with experience of SailPoint. The successful candidate will have Proven knowledge and experience of SailPoint (or similar IAM tools and IAM Best practices & processes). Supporting analysts in the production of HLD / LLD design documentation. Ability to engage effectively with multiple stakeholders, to include the support and where required the facilitation of workshops. You will work closely with a project manager and team of analysts, this role is required to plan and manage change to our clients Logical Access Controls framework. This will require engagement with multiple departments identify requirements through workshops, create and present the solution design and take through the delivery lifecycle ensuring the required outcomes. Obtain data from across the business to drive the required system changes. Understanding all source systems processes to align with the centralised access provisioning tool (multiple source systems managed by multiple business areas).

At Docker, we make app development easier so developers can focus on what matters. Our remote-first team spans the globe, united by a passion for innovation and great developer experiences. With over 20 million monthly users and 20 billion image pulls, Docker is the #1 tool for building, sharing, and running apps—trusted by startups and Fortune 100s alike. We’re growing fast and just getting started. Come join us for a whale of a ride! The Senior Manager, Engineering, Docker Agents leads the team responsible for building Docker’s next-generation AI agent capabilities. This team designs and delivers intelligent, containerized agents that enable automation, adaptive workflows, and real-world AI usage for developers. This role combines people leadership, technical strategy, and cross-functional collaboration. The manager ensures the team delivers reliable, high-impact systems while maintaining a strong engineering culture grounded in trust, learning, and execution. Team Leadership & Development Lead, mentor, and grow a team of engineers working on Docker Agents. Define hiring plans, onboarding, career paths, and performance expectations. Foster a culture of psychological safety, accountability, and continuous improvement. Technical Strategy & Delivery Partner with Product and Engineering leadership to define the vision, roadmap, and technical direction for agent systems. Guide architectural decisions for scalable, secure, and maintainable agent platforms. Balance long-term strategy with short-term execution to ensure consistent delivery. Cross-Functional Collaboration Work closely with Product Management, Platform, DevOps, and QA teams to align priorities. Advocate for agent capabilities across the Docker ecosystem. Ensure smooth integration between agent systems and other Docker products. Establish and track engineering metrics related to quality, velocity, and reliability. Remove blockers and improve developer productivity through better tooling and processes. Drive improvements in CI/CD, testing, observability, and system resilience. Model strong leadership behaviors rooted in empathy, clarity, and ownership. Promote inclusion, diversity, and fairness in hiring and team development. Handle feedback, performance discussions, and prioritization decisions with transparency and respect. 7+ years of professional software engineering experience. 3+ years of experience managing engineering teams. Proven ability to lead remote, distributed teams. Strong experience with distributed systems, APIs, or platform engineering. Demonstrated ability to navigate ambiguity and guide teams through evolving requirements. Excellent written and verbal communication skills. Experience working with AI systems, LLMs, or agent-based architectures. Background in developer tools, platforms, or infrastructure products. Product-oriented mindset with exposure to user-facing engineering decisions. Integrate into Docker’s AI & Agents Engineering organization and establish relationships with key stakeholders across Product, Platform, Engineering leadership, and sister AI teams (Ask Gordon, broader AI platform) Deep dive into the Docker Agents ecosystem including cagent project architecture, current roadmap, open-source community engagement, and technical debt assessment Conduct comprehensive 1:1s with each team member to understand their technical backgrounds, career aspirations, current project ownership, and individual growth opportunities Assess team dynamics, delivery processes, engineering practices, and identify immediate opportunities to remove blockers, improve productivity, and enhance code quality Hire and onboard critical team members with expertise in containerized systems, AI/LLM integration, distributed systems, and open-source community management Establish clear team operating principles including engineering standards for agent development, code review processes, testing frameworks, and production deployment practices Drive alignment on technical vision and roadmap for Docker’s containerized agent platform in partnership with Product Management, ensuring clear prioritization of cagent evolution, enterprise features, and developer experience improvements Ship significant improvements to cagent or containerized agent platform capabilities with measurable impact on developer productivity or agent deployment reliability Build and lead a high-performing engineering team of 8-12 engineers that consistently delivers reliable, scalable containerized agent infrastructure impacting millions of Docker users worldwide Establish the Docker Agents team as a center of excellence for containerized AI systems, influencing architecture decisions across Docker’s AI initiatives and the broader container ecosystem Develop team members into technical leaders through mentorship, conference speaking opportunities, open-source contributions, and clear career advancement paths within Docker’s engineering organization Establish repeatable processes for rapid prototyping, evaluation, and productization of new agent capabilities that maintain Docker’s reputation for reliability and developer experience excellence Docker does not offer visa sponsorship for this role. We use Covey as part of our hiring and / or promotional process for jobs in NYC and certain features may qualify it as an AEDT. As part of the evaluation process we provide Covey with job requirements and candidate submitted applications. We began using _ on April 13, 2024. Please see the independent bias audit report covering our use of Covey _. Perks Freedom & flexibility; fit your work around your life Designated quarterly Whaleness Days plus end of year Whaleness break Home office setup; we want you comfortable while you work 16 weeks of paid Parental leave Technology stipend equivalent to $100 net/month PTO plan that encourages you to take time to do the things you enjoy Training stipend for conferences, courses and classes Equity; we are a growing start-up and want all employees to have a share in the success of the company Docker Swag Medical benefits, retirement and holidays vary by country Remote-first culture, with offices in Seattle and Paris Docker embraces diversity and equal opportunity. We are committed to building a team that represents a variety of backgrounds, perspectives, and skills. The more inclusive we are, the better our company will be. #LI-REMOTE

Company Overview IMS is a leader in connected car and telematics services. We provide services and analytics to insurers, governments, and enterprises. We are proud to be the developer of the industry-acclaimed, cloud-based connected car platform. From insurers and governments to dealerships and everyday drivers, we’re proud to produce technology that makes driving - Safer. Smarter. Greener. Job Description The Senior Platform Engineer is a technical leader responsible for designing, operating, and continuously improving the AWS serverless data platform. This role sits at the intersection of infrastructure, software engineering, and developer experience — owning the reliability and scalability of the platform while actively enabling product and data engineering teams to build and ship confidently. Key Responsibilities Platform Tooling & Self Service • Design and maintain self-service tooling, templates, and scaffolding that allow engineers to provision and deploy serverless resources independently., • Own and evolve internal developer platform (IDP) capabilities — including CI/CD pipeline templates, Infrastructure as Code (IaC) modules, and reusable Lambda/Step Functions patterns., • Reduce cognitive overhead for engineers by abstracting platform complexity behind well-documented, opinionated interfaces., • Partner with engineering teams to gather feedback and continuously improve the developer experience. Engineering Standards & Technical Documentation • Produce and maintain high-quality technical documentation, runbooks, and architectural decision records (ADRs) for the platform., • Define and evangelise engineering standards for serverless development, including naming conventions, logging patterns, error handling, and observability., • Lead or contribute to internal tech talks, workshops, and onboarding programmes to upskill engineers on platform capabilities. Collaboration & Stakeholder Engagement • Act as a trusted technical partner to product and data engineering squads, embedding platform expertise into delivery teams as needed., • Define clear SLAs and SLOs for platform services and communicate them to consuming teams., • Triage and resolve platform-related blockers rapidly, prioritising unblocking engineers over reactive maintenance work. Security & Compliance • Ensure platform infrastructure adheres to security best practices including least-privilege IAM, encryption at rest and in transit, and secrets management., • Collaborate with security and compliance stakeholders to maintain audit readiness and address vulnerabilities promptly., • Embed security considerations into platform tooling so that secure defaults are the path of least resistance for engineers. Infrastructure as Code & Delivery • Own and evolve IaC for all platform infrastructure using tools such as Terraform, AWS CDK, or CloudFormation., • Enforce GitOps and CI/CD best practices across platform delivery, ensuring changes are peer-reviewed, tested, and deployed safely., • Champion progressive delivery practices — including feature flags, canary deployments, and rollback mechanisms — across the platform. Continuous Improvement • Drive a culture of continuous improvement through regular platform reviews, blameless post-mortems, and iterative delivery., • Measure and report on engineering metrics to demonstrate and drive improvement., • Contribute to the broader engineering community through internal knowledge sharing, cross-team collaboration, and participation in guild or chapter activities. Key Requirements • WS Serverless & Cloud Architecture Deep, hands-on experience with the core serverless stack — Candidate should be able to design pipelines with cost, latency, and failure modes in mind, not just get things working. Knowledge of AWS IAM, VPC, and security patterns is equally important., • Python (Primary) & Java (Secondary) Strong Python skills are essential — not just scripting, but writing production-quality, testable, maintainable code. Candidate needs to be credible enough to review Python code written by the teams they support. Java familiarity matters for legacy pipeline work and cross-language debugging, but doesn't need to be at the same depth., • Infrastructure as Code Proficiency in Terraform is a must. Candidate should be building reusable, well-structured IaC modules — not one-off configurations — and comfortable working in a GitOps model with peer-reviewed, pipeline-deployed infrastructure., • CI/CD & Developer Platform Thinking Experience building and maintaining CI/CD pipelines The key mindset here is thinking about other engineers as your customers, and building tooling that reduces friction and cognitive load., • Observability & Operational Maturity Comfortable with CloudWatch, and ideally a third-party observability tool. They should understand SLOs and error budgets beyond the theory — and know how to design alerting that's actually actionable rather than noisy., • Communication & Developer Empathy Given the developer enablement focus, this is crucial. Candidate needs to write clear documentation, give useful feedback in code reviews, and explain complex infrastructure decisions to non-platform engineers. Strong written communication matters as much as verbal., • Security Mindset Practical knowledge of least-privilege IAM, secrets management and how to bake secure defaults into platform tooling so teams don't have to think about it. Why should you join us? • Flexible remote working options., • Flexible holiday scheme (unlimited vacation) to really make the most of your time and wellbeing., • 'Work From Anywhere' Policy - work almost anywhere in the world for 30 days per year!, • Employee Assistance Program and an enhanced maternity/paternity package, • We want to see you grow and do great things! We’re committed to your personal and professional development., • Funded training opportunities., • Auto-Enrolment Pension & Private Medical Insurance., • Cycle to Work and Car Maintenance Salary Sacrifice discounts!, • Kudos Hub - a peer-to-peer recognition system, where you can recognise others using points. These points can be collected and redeemed against a huge catalogue of rewards., • We’re an innovative technology leader with plans for growth in the global telematics industry. These are some exciting times! *Please note that while we accommodate a remote working environment, this hire will need to be based in the United Kingdom.

Grafana Labs is a remote-first, open-source powerhouse. There are more than 20M users of Grafana, the open source visualization tool, around the globe, monitoring everything from beehives to climate change in the Alps. The instantly recognizable dashboards have been spotted everywhere from a NASA launch and Minecraft HQ to Wimbledon and the Tour de France. Grafana Labs also helps more than 3,000 companies -- including Bloomberg, JPMorgan Chase, and eBay -- manage their observability strategies with the Grafana LGTM Stack, which can be run fully managed with or self-managed with the , both featuring scalable metrics (), logs (), and traces (_). 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 living in UK time zones only at this time. The Opportunity: The Managed Services team is a newly formed squad within the Databases department. It owns and operates shared, production-critical infrastructure that powers Grafana Cloud’s next-generation database products (Mimir, Loki, and Tempo). Today, this includes operating 100+ WarpStream clusters across multiple cloud providers and regions, with continued growth anticipated for the future. WarpStream acts as the streaming backbone for ingestion and read/write decoupling across databases. It sits directly on the hot path for metrics, logs, and traces, handling high-throughput, multi-consumer workloads at massive scale. In addition to streaming infrastructure, the team works closely with high-volume analytical and storage systems that power query-heavy and aggregation-heavy workloads, where latency, compression behavior, storage layout, and scaling characteristics matter deeply. What You’ll Be Doing: As a Senior Engineer on Managed Services, you will take ownership of running these systems in production. This involves: • Operating and evolving 100+ multi-cloud streaming clusters and related database infrastructure, • Diagnosing and eliminating cross-layer failure modes (e.g., object storage latency, noisy neighbors, control-plane bottlenecks, query performance regressions, etc.), • Designing safe upgrade and rollout strategies at scale, • Improving observability, automation, and operational ergonomics, • Partnering closely with database and platform teams to ensure safe scaling, partitioning, consumer fan-out, and query performance, • Working directly with distributed systems behavior, Kubernetes scheduling dynamics, storage engines, compression trade-offs, etc., • Serving as a primary escalation point and on-call for relevant incidents, • Owning the relationship with all system vendors, including WarpStream Labs and others., • As we are remote-first and our engineering organization is largely remote, we provide guidance and meet regularly using video calls, so an independent attitude and good communication skills are a must. This role blends deep distributed systems work with the opportunity to influence how the team approaches reliability, scaling, and operational excellence. We invest heavily in developer productivity. You can use modern AI coding assistants as part of your daily workflow (your choice of tools, within security guidelines), backed by a company-funded usage budget so you can iterate quickly without unnecessary friction. We encourage pragmatic AI-assisted development: faster prototyping, test generation, refactors, documentation, and incident follow-ups—always paired with strong code review and quality standards. You’ll also have access to frontier models (e.g., GPT-Codex 5/3, Claude Opus 4.6, Gemini 3 Pro). Of course, there is an on-call component to this role and one that we take seriously. As a company, we hire globally (remote-first) to ensure our on-call remains healthy and aligned to approximately 12 daylight hours per day. You will work closely with counterparts in other regions to provide balanced coverage and shared ownership. What Makes You a Great Fit: • Regular 1:1s with your manager and close collaboration with teammates across regions, • Reviewing and defining SLOs for shared database infrastructure, proactively reducing error budgets through improvements to monitoring, automation, scaling strategies, and system design, • Improving the diagnosability of core streaming and database systems in production, where possible., • Implementing solutions that ensure reliability, scalability, and performance of high-throughput, multi-cloud infrastructure, • Developing fault-tolerant patterns that account for distributed system realities such as storage latency, partition imbalance, noisy neighbors, and control-plane dependencies, • Planning and executing safe upgrades and rollouts across dozens of production clusters, • Collaborating with database and platform engineering leaders to influence architecture, roadmap priorities, and long-term strategy, • Participating in PR review and contributing to design documents, automation, tooling, and code improvements that reduce operational risk, • Sharing best practices and distributed systems knowledge with partner teams, • Participating in incident response, from investigation through resolution and post-incident reviews (PIR) Requirements: • 6+ years of engineering experience, including meaningful time in SRE, platform engineering, production engineering, infrastructure engineering, or distributed systems roles., • Experience operating distributed systems in production (e.g., streaming systems, analytical databases, large-scale storage backends). Examples of these include Kafka, Redpanda, WarpStream, Postgres, ClickHouse, Snowflake, or Cassandra., • Strong Kubernetes experience in AWS, GCP, or Azure, and familiarity with infrastructure-as-code tooling (Helm, Terraform, Jsonnet, etc.)., • Solid understanding of distributed systems design and large-scale system trade-offs., • Proficiency in at least one programming language (Go preferred, but not required)., • Working knowledge of Linux internals, networking, cloud storage, and performance/scaling behavior., • Experience participating in blameless incident response and writing high-quality post-incident reviews., • Clear communicator who can collaborate across teams and work autonomously., • Curious, pragmatic, action-oriented, and kind (this is important!) Compensation & Rewards: In the United Kingdom, the Base compensation range for this role is GBP 91,755 - GBP 110,106. 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 _. 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: We will recruit, train, compensate and promote regardless of race, religion, color, national origin, gender, disability, age, veteran status, and all the other fascinating characteristics that make us different and unique. We believe that equality and diversity builds a strong organization and we’re working hard to make sure that’s the foundation of our organization 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 .

HockeyStack is an Applied AI company on a mission to automate sales, marketing, and customer success for B2B companies. We build the most complete and accurate picture of the B2B buyer by integrating with every tool your team uses, partnering with third-party data providers, and deploying custom AI research agents. We use this data to power applications that automate high-value, high-complexity workflows across the go-to-market and revenue teams. Our core products include: Marketing Intelligence – instantly answers questions like “What led to that sudden drop in pipeline?” Account Intelligence – surfaces next-best actions to help reps move target accounts toward conversion Since launching in January 2023, we’ve come through Y Combinator, raised a $26M Series A led by Bessemer. We’re growing 3× year-over-year, have hit multimillion ARR, and process over 60 TB of GTM data monthly. Based at our San Francisco HQ, we operate fully in-person, move fast and hire people who are ready to win. We are looking for a Customer Success Manager who is passionate about helping customers unlock the full value of HockeyStack. In this role, you will be the strategic partner to our customers—guiding them through onboarding, driving product adoption, and helping them translate data-driven insights into business impact. You’ll ensure our customers realize fast time-to-value, renew with confidence, and grow with us over time. Own the full customer lifecycle—onboarding, activation, adoption, growth. You’re not just managing accounts; you’re driving impact and ensuring every customer realizes the full power of HockeyStack. Define and execute value roadmaps for every account. Minimize time-to-value, accelerate adoption, and tie every milestone to measurable ROI. Operate as a strategic partner across marketing, sales, and revenue teams. You’ll bring clarity where there’s confusion, action where there’s delay, and results where others fail. Proactively surface insights and opportunities to help customers expand their use of the platform—and their investment in it. Track, measure, and prove ROI relentlessly. You’ll equip champions with the evidence they need to justify every dollar and unlock more budget. Move seamlessly across Enterprise, Mid-Market, and SMB segments—bringing precision to high-touch and scale to low-touch, with zero drop in quality. Work cross-functionally to eliminate friction and solve hard problems fast. You’ll chase blockers across the company and refuse to let customer value stall. Act as the voice of the customer—filtering signal from noise and helping shape the future of the product with firsthand insights from the field. Relentless Customer Focus: You wake up thinking about your customers’ success and go to bed making sure nothing is left hanging. You’re not here to satisfy; you’re here to transform. Commercially Sharp: You know what drives renewals, upsells, and growth—and how to turn value into revenue. You help customers win, and in turn, we win bigger. Bias for Action: You don’t wait for perfect. You ship, solve, adapt, and move. You’re fast, flexible, and allergic to excuses. Executive Ready: You can confidently engage a CRO, CMO, or CEO—and still build rapport with a frontline IC. You speak the language of business and back it up with data. High Standards, No Entitlement: You set the bar high for yourself and your teammates. You don’t hide behind process, seniority, or bandwidth. You do the work, own the outcome, and make the team better. Versatile Operator: Enterprise or SMB. Strategic or tactical. High-touch or scaled. You adapt to whatever’s needed to drive customer success at speed. Ownership-first mindset — you take initiative, move fast, and figure things out Thrive in early-stage, high-urgency environments where speed and impact matter Curious, self-aware, and feedback-driven — you bring energy, not ego See this role as a defining chapter — not a stepping stone or side quest 3–6 years of experience in a Customer Success, Account Management, or Consulting role at a B2B SaaS company Proven ability to manage a portfolio of customers and deliver results across onboarding, adoption, and expansion Experience with value-based selling and communicating ROI to executive stakeholders Strong understanding of GTM functions and familiarity with revenue and marketing data Comfortable with both high-touch and tech-touch motions across customer segments Ability to work cross-functionally and drive alignment around customer outcomes We’re at an inflection point. The product is proven, the market is massive, and the opportunity is wide open. You’ll be joining a company with real traction, rapid growth, and meaningful backing—where every person still shapes the outcome. This isn’t just a job. It’s a chance to build something category-defining with people who care deeply about doing it right. The on target earnings range for this role is $120,000 to $200,000 USD, adjusted for location, experience, and qualifications. HockeyStack is proud to be an Equal Opportunity Employer. We do not discriminate based on race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability, or any other legally protected status. We celebrate diversity and are committed to fostering an inclusive environment for all employees.

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