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Location: Boston, Massachusetts, United States We take play seriously. We’re looking for curious adventurers ready to find their party, fueled by imagination and drive to build what’s never been built before. At Hasbro and Wizards of the Coast, you’ll collaborate with passionate teams to reimagine our iconic brands and create experiences that spark joy, connection, and community through the magic of play. This is your chance to shape legendary play that lasts a lifetime. Job Overview We are looking for a leader to take on our workforce management systems and operations. This is more than a technology role. Serve as a trusted advisor to our HR leadership group, our centers of excellence and our business partners, turning business goals into system capability and service build. You will ask the questions that sharpen a request, give people a clear view of sequencing, effort and trade-offs, and help us move toward AI-enabled, automation-first ways of working. You will report to our Vice President of HR Planning, Analytics & Technology and lead senior business systems analysts, an HR operations manager with a specialist group, and an outsourced administration partner. Location and Work Arrangement Hybrid: This role is based at our Boston, Massachusetts office and follows a hybrid schedule designed to support in-person collaboration. Employees are expected to work onsite on Tuesdays, Wednesdays, and Thursdays, with the flexibility to work remotely or onsite on Mondays and Fridays. What You'll Do HR Platforms and Delivery: Look after our HR systems estate, including SuccessFactors, Greenhouse and the applications around them, together with the integrations connecting them to Finance, IT and external providers. Build the multi-year technology roadmap with HR leadership and IT and run the intake practices that decide what enters it. Guide systems projects from requirements through configuration, testing, cutover and adoption, then keep the platforms balanced in service once they are live. HR Operations and Service Delivery: You will manage employee lifecycle transaction processing and the quality controls that keep our records accurate. You will also set and publish the measures the operation is judged on, from first-contact resolution to self-service adoption. Develop the service framework and the tiers within it, from self-service and first contact through to specialist handling, and the routing between them. Run one governed intake channel for employee questions, and decide with the team what stops, what is automated and what moves to our administration partner. Governance, Security and Information Management: You will be responsible for how our HR data is protected and who can reach it, and for the governance standards behind configuration, workflows, integrations and security. You will work with People Analytics and enterprise analytics on our data platform and the sources that feed it. Build the security and access model, including role-based permissions, field-level restriction, access certification and segregation of duties. Meet our data-privacy and regional obligations with Legal and Information Security, and act as the HR contact for internal and external audits. AI Enablement and Automation: Set our HR technology AI strategy, with responsible adoption resting on governance, data readiness, privacy and human oversight. Redesign fragmented processes into something simpler. Run a single pipeline for internal use cases and emerging HR technology, and report what our automation delivers in adoption, efficiency, quality and experience. Team and Partners: Grow a team covering business systems analysis and an operations specialist group led by a first-line manager, and plan resourcing, capacity and budget across both. Develop the team’s capability in consultation, requirements and configuration, and hold the relationship with our outsourced administration and application management partners. What You'll Bring 8+ years' experience across HR systems and HR operations. 5+ years managing people and experience leading through a first-line manager. Led a multi-application systems portfolio alongside a service delivery team, including its tier model, case management, and service measures. Demonstrate expertise in HR processes throughout the employee lifecycle, and you will have delivered globally, where requirements vary by region. Hands-on depth in SAP SuccessFactors, enough to specify requirements, evaluate configuration and work with an implementation partner, with strong familiarity in Employee Central and at least two other modules absolutely required. Experience with the security and access model for HR data, and with leading third-party implementation or managed-service partners to agreed service levels. Experience running project delivery alongside production support, and influencing senior leaders across HR, IT and Finance in plain language. What Sets You Apart Experience putting AI capability to work in an HR setting, with the guardrails that apply once AI touches employee data. Familiarity with agentic AI, enterprise AI platforms, intelligent automation or conversational assistants such as Microsoft Copilot helps, as does a background spanning people analytics as well as systems. SAP SuccessFactors certification in one or more modules, and experience of a platform migration or systems harmonization. Experience building governance models, technology intake processes, vendor assessments or innovation pipelines. Who We Are We’re a team of creators, storytellers, and innovators united under the Hasbro family and home to beloved brands, AAA digital games studios and immersive experiences that spark imagination across generations. Together, we’re committed to a culture rooted in creativity, excellence, curiosity, and inclusion, and where every employee is empowered to think boldly, act with integrity, and spark joy for all. About the Company – Hasbro Who We Are | Wizards of the Coast Equal Opportunity Hasbro is committed to equality of opportunity in all aspects of employment. We are committed to making all employment decisions without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, marital status, or any other legally protected status. Accommodations If you have a disability and need reasonable accommodation during the hiring process, please inform your recruiter anytime throughout the process . Notice Regarding Hasbo’s use of AI in the Recruitment Process We use Greenhouse’s AI-powered Talent Matching tool to compare your application against our job requirements. How it works: Talent Matching compares information from your resume and application responses with job-related criteria established and weighted by Hasbro’s recruiting and hiring teams. Depending on the role, these criteria may include relevant skills, work experience, prior job titles, and industry experience. The tool then assigns a match category to help organize applications for review. Human oversight: Talent Matching supports—but does not replace—human review. It does not automatically advance or reject candidates or make employment decisions. Hasbro’s recruiters and hiring managers review applications and remain responsible for all hiring decisions. Greenhouse has published the results of an independent bias audit of Talent Matching. View the Greenhouse Talent Matching audit results . The pay transparency range for this role is listed below. The hiring range will vary based on factors such as experience, skills, location and market conditions. Additionally, employees may be eligible for annual and long-term incentives as part of their overall compensation package. Pay Range $195,600 — $313,000 USD Employees may be eligible for annual and long-term incentives as part of their overall compensation package, depending on role, location, and eligibility. Benefits and programs may include: Health & Wellness Time Off to Recharge Financial Well-being Life & Family Support Volunteer and Community Initiatives Learning & Development Exclusive Perks Please review our Applicant Privacy Notice to learn how we collect, use, and protect your personal information in connection with the application process.

Location: Global Workplace: Remote ABOUT THE ROLE Aptura is looking for Subject Matter Experts from venture capital, from seed to growth stage, who build cap tables, round models and exit waterfalls in Excel. You have used AI tools on your own work and been frustrated by the mistakes they make. You will turn that experience into realistic Excel tasks that test how well AI does the modelling work of a Venture Capital Associate. RESPONSIBILITIES - Writing realistic Excel tasks drawn from your own work: extending existing models, fixing broken ones and building from a brief - Working through each task yourself so there is a clear, correct answer - Writing yes-or-no criteria precise enough that a grader can mark any attempt against them NECESSARY QUALIFICATIONS - 3+ years in venture capital, startup finance or venture law, covering seed to growth-stage rounds - Deep hands-on Excel: cap tables, SAFE and note conversions, liquidation preferences, nested formulas and named ranges - Strong written English communication skills. - Attention to detail, and willingness to learn concepts in AI and Evals ADDITIONAL INFORMATION - Start Date : Immediate - Duration: Approximately 4–6 weeks - Payment: task-based. Experts who complete their first task within the required timeline will then be qualified to do multiple tasks for the remainder of the project. CONTRACT AND PAYMENT TERMS - You will be engaged as an independent contractor. - This is a fully remote role that can be completed on your own schedule. - Projects can be extended, shortened, or concluded early depending on needs and performance. - Your work at Aptura will not involve access to confidential or proprietary information from any employer, client, or institution. - Payments will be weekly following task completion. GETTING STARTED - Apply with your details and CV. Choose an available 30-minute group walkthrough call. - Attend the walkthrough and create one original task from your own work. Submit the brief, the actual input workbook(s) needed to complete it. Input-file uploads are compulsory. - Write the brief yourself. Input workbooks must also be human-built. Use real data that has been sanitised, or public data with the source named. No AI usage allowed. - We run your task against current frontier AI models. If the models get it wrong, you then write a detailed yes-or-no rubric, and a reviewer signs off on the task with you. - Completing onboarding does not guarantee a job offer; selection remains subject to written approval of the task proposal. ABOUT APTURA Aptura is an applied AI and data company working with frontier labs to train AI systems on real professional work. We do this by building high-quality evaluation and training environments that teach AI agents to produce work that can be used in daily workflows.

Location: Global Workplace: Remote ABOUT THE ROLE Aptura is looking for Subject Matter Experts from private equity, as sector specialists or generalists, who build LBOs, returns analyses and portfolio models in Excel. You have used AI tools on your own work and been frustrated by the mistakes they make. You will turn that experience into realistic Excel tasks that test how well AI does the modelling work of a Private Equity Associate. RESPONSIBILITIES - Writing realistic Excel tasks drawn from your own work: extending existing models, fixing broken ones and building from a brief - Working through each task yourself so there is a clear, correct answer - Writing yes-or-no criteria precise enough that a grader can mark any attempt against them NECESSARY QUALIFICATIONS - 3+ years in private equity or growth equity (buyout, growth or special situations), with a sector focus or generalist deal coverage - Deep hands-on Excel: LBOs, debt schedules, returns sensitivities, goal seek and circular references - Strong written English communication skills. - Attention to detail, and willingness to learn concepts in AI and Evals ADDITIONAL INFORMATION - Start Date : Immediate - Duration: Approximately 4–6 weeks - Payment: task-based. Experts who complete their first task within the required timeline will then be qualified to do multiple tasks for the remainder of the project. CONTRACT AND PAYMENT TERMS - You will be engaged as an independent contractor. - This is a fully remote role that can be completed on your own schedule. - Projects can be extended, shortened, or concluded early depending on needs and performance. - Your work at Aptura will not involve access to confidential or proprietary information from any employer, client, or institution. - Payments will be weekly following task completion. GETTING STARTED - Apply with your details and CV. Choose an available 30-minute group walkthrough call. - Attend the walkthrough and create one original task from your own work. Submit the brief, the actual input workbook(s) needed to complete it. Input-file uploads are compulsory. - Write the brief yourself. Input workbooks must also be human-built. Use real data that has been sanitised, or public data with the source named. No AI usage allowed. - We run your task against current frontier AI models. If the models get it wrong, you then write a detailed yes-or-no rubric, and a reviewer signs off on the task with you. - Completing onboarding does not guarantee a job offer; selection remains subject to written approval of the task proposal. ABOUT APTURA Aptura is an applied AI and data company working with frontier labs to train AI systems on real professional work. We do this by building high-quality evaluation and training environments that teach AI agents to produce work that can be used in daily workflows.

Location: Global Workplace: Remote ABOUT THE ROLE Aptura is looking for Subject Matter Experts from sell-side or buy-side equity research, covering any sector, who build initiating coverage models, earnings models and data packs in Excel. You have used AI tools on your own work and been frustrated by the mistakes they make. You will turn that experience into realistic Excel tasks that test how well AI does the modelling work of a Research Associate. RESPONSIBILITIES - Writing realistic Excel tasks drawn from your own work: extending existing models, fixing broken ones and building from a brief - Working through each task yourself so there is a clear, correct answer - Writing yes-or-no criteria precise enough that a grader can mark any attempt against them NECESSARY QUALIFICATIONS - 3+ years in sell-side or buy-side equity research, covering a defined sector or universe of stocks (e.g. TMT, Healthcare, Financials, Energy, Consumer, Industrials) - Deep hands-on Excel: earnings extraction and prediction, calendarisation, SOTP valuation, data packs and nested formulas - Strong written English communication skills. - Attention to detail, and willingness to learn concepts in AI and Evals ADDITIONAL INFORMATION - Start Date : Immediate - Duration: Approximately 4–6 weeks - Payment: task-based. Experts who complete their first task within the required timeline will then be qualified to do multiple tasks for the remainder of the project. CONTRACT AND PAYMENT TERMS - You will be engaged as an independent contractor. - This is a fully remote role that can be completed on your own schedule. - Projects can be extended, shortened, or concluded early depending on needs and performance. - Your work at Aptura will not involve access to confidential or proprietary information from any employer, client, or institution. - Payments will be weekly following task completion. GETTING STARTED - Apply with your details and CV. Choose an available 30-minute group walkthrough call. - Attend the walkthrough and create one original task from your own work. Submit the brief, the actual input workbook(s) needed to complete it. Input-file uploads are compulsory. - Write the brief yourself. Input workbooks must also be human-built. Use real data that has been sanitised, or public data with the source named. No AI usage allowed. - We run your task against current frontier AI models. If the models get it wrong, you then write a detailed yes-or-no rubric, and a reviewer signs off on the task with you. - Completing onboarding does not guarantee a job offer; selection remains subject to written approval of the task proposal. ABOUT APTURA Aptura is an applied AI and data company working with frontier labs to train AI systems on real professional work. We do this by building high-quality evaluation and training environments that teach AI agents to produce work that can be used in daily workflows.

Location: New York, NY Flex is a growth-stage, NYC headquartered FinTech company that is building the payment layer for life's financial obligations, giving households one place to see, split, and pay their bills around how they live and get paid. By offering greater choice over how and when payments are made and allowing eligible on time payments to help build a positive credit history, Flex puts households back in control of their cash flow. That work brings together people with different perspectives who challenge the status quo and take ownership of solving difficult problems. For you, that means doing the best work of your career next to people who make you better, and together bringing ideas to life that make a real impact for the people we serve. The Role As a Senior Staff Analytics Engineer, you will enable stakeholders at Flex to easily find the data they need to make decisions. You'll do this by leveraging your technical skills to develop better data products and solutions. You'll partner with analysts, engineers, PMs and others to define the requirements while being accountable for delivering the end data product. As part of the broader Data team, you will report to the Director, Analytics Engineering and support a number of different areas across Flex. You Will: Lead the development of data models to consume, transform, and expose data to stakeholders and systems across the company Collect business requirements, define successful analytics outcomes, and design data solutions Set company-wide standards for data regarding structure, quality, and expectations Contribute Flex’s data culture by influencing processes, systems, and tools that enable to make better decisions in a scalable way You Have: 6+ years as an analytics engineer or equivalent, with a track record of shipping high quality products and features at scale Expert knowledge of SQL, data warehouses (we use Snowflake), and how to write efficient SQL queries Familiarity with common BI tools (preferably Sigma Computing, Tableau, Mode, etc.) Expert proficiency with dbt or similar data modeling tool Strong perspective on analytics engineering development cycle (data modeling, version control, documentation + testing, and best practices for codebase development and CI/CD) Experience within the fintech space This is a hybrid position with on-site expectations of 3 days per week in our New York Headquarters. For candidates outside of the NY/NJ area, you may be eligible for our relocation assistance program. Compensation Flex takes a market-based approach to pay, ensuring compensation is commensurate with a candidate's experience and our internal leveling guidelines. For candidates located in our Tier 1 (NYC/Bay Area) markets, the base salary pay range for this role is below. Flex utilizes a geographic pay differential based on a cost of labor index. If you are located outside of the cities listed below, your starting pay will be adjusted to align with the market conditions of your specific geographic zone. Please speak with your recruiter for additional information regarding the specific range for your location. Tier 1 (NYC/Bay Area) $200,000 — $240,000 USD Life at Flex Building a successful company takes a diverse team of intelligent, curious, determined, empathetic, and self-aware people. Our headquarters is in New York City, with employees across the US, Australia, Canada, and South America. We’re growing quickly and deliberately, with a focus on building an inclusive culture. We value the perspectives our people bring and take pride in being an equal opportunity workplace. Offices Roles posted in New York, San Francisco, and Salt Lake City are hybrid positions with on-site expectations of 2-3 days per week in our local offices. For candidates outside of these areas, you may be eligible for our relocation assistance program. Benefits View our benefits and more at getflex.com/careers .

Location: Paris 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. THE ROLE This is a chance to build the frontier LLM evals that shape the next generations of flagship models. Could a model design a computer chip, or find the backdoor an attacker left in a network? Public benchmarks can't tell us, as they're generally not a good measure of real work. As an Evaluation Engineer, you'll own evals from start to finish. You'll run workshops with customers, industry experts and our customer-facing teams to understand their most important industry use cases (e.g., an engineer updating a part in CAD software), and help decide which are worth building first. You'll also look beyond today's use cases and design moonshot evals for work no model can do yet, so Mistral gets there first. Then you'll turn each one into a benchmark, often one where an agent has to do the work inside real software. You'll source the data, decide how to score it, and run it on every new Mistral model and on competitor models. When our models fall short, you'll work with the post-training teams to close the gap. When they catch up, you'll make the eval harder. You'll write up and present your results so senior leaders can act on them. They also give our go-to-market teams evidence of where Mistral leads. You'll learn new fields quickly. One month you might be learning how chip designers check their work, and the next how a bank investigates a flagged payment. The team is new and fast-paced, and you'll have a lot of autonomy. You'll spend a lot of time speaking with people across Mistral to work out what matters most, then decide what to build. WHAT YOU WILL DO - Run discovery with customers, industry experts and teams across Mistral, then help decide which use cases are worth building first. - Design new benchmarks for industry use cases and frontier capabilities, including how they're scored. - Build evals where agents work inside real software (e.g., CAD and simulation tools), and run them on our models with checks that the results stay reliable over time. - Stress-test existing evals to find flaws and bugs before we rely on them. - Source data with expert vendors. Where customer data can't leave the customer, build realistic proxy or synthetic data instead. - Write up and present what you find so leaders across Mistral can act on it. - Help other teams build their own evals, with tools and guides they can reuse. WHAT WE'RE LOOKING FOR EXPERIENCE - 2+ years of industry experience (e.g., in software, AI, or consulting), or a PhD. - A software engineering or research background, with experience writing code that others can build on. - Experience working directly with customers, industry experts, or other teams (e.g., through consulting, solutions engineering, or research collaborations). - Experience building something with LLMs. - Comfort working with large datasets, including building and cleaning them. TECHNICAL - Strong Python skills. - Comfortable working in a large, shared codebase and getting your code through reviews by other teams. - A strong understanding of LLM training, inference, and evaluation. COMMUNICATION - You enjoy speaking with people and are good at it. - You write clearly. A short doc or deck from you is enough for a busy leader to make a decision. - Confident presenting to both technical and non-technical audiences. - Fluent in English. HOW YOU WORK - High energy, and you don't need a roadmap. You move independently and handle uncertainty with confidence. - Proactive and high-agency. You spot what needs doing and get it done. - You make good decisions about what to build first and can explain why. - Low-ego, collaborative, and eager to learn. - Curious, with a track record of learning things outside your work or studies. You can get to grips with a new field in a few weeks. NICE TO HAVE - Experience building AI evaluations, especially for industry applications. - Published research on evals or contributions to open-source evaluation frameworks. - Experience building datasets, generating synthetic data, developing labelling guidelines, or working with annotation vendors. - A background in an industry outside software (e.g., engineering, finance, or science). 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.

Location: Canada (Remote) Grafana Labs is the company behind Grafana Cloud, the fully managed observability platform trusted by more than 10,000 organizations to ensure reliability, resolve incidents faster, and optimize telemetry at scale. Built on open source and open standards and designed for interoperability across any stack, Grafana Cloud brings AI to observability and observability to AI, giving teams (and their agents) unified visibility so they can see, understand, and act on all their disparate data, wherever it lives, and move at the speed of their ambitions. Customers, including Anthropic, Bloomberg, NVIDIA, Microsoft, and Salesforce, rely on Grafana Labs. We are a 100% remote company with team members across 40+ countries, backed by leading investors including Lightspeed Venture Partners, Sequoia Capital, GIC, Coatue, J.P. Morgan, CapitalG, and Lead Edge Capital. Learn more at grafana.com and follow us on LinkedIn and X . We’re scaling fast and staying true to what makes us different: an open-source legacy, a global collaborative culture, and a passion for meaningful work. Our team thrives in an innovation-driven environment where transparency, autonomy, and trust fuel everything we do. You may not meet every requirement, and that’s okay. If this role excites you, we’d love you to raise your hand for what could be a truly career-defining opportunity. This is a remote position. We are seeking candidates in US and Canada. The Opportunity Application Core Services (AppCore) is a group within Platform, in the Foundations department. We build and operate systems that support Grafana’s business operations and customer experience, working closely with product teams and internal business partners. The Usage squad works on billing, rates, usage calculations, usage visibility and cloud marketplace integrations. Our software helps customers understand their consumption and costs, and helps internal teams operate accurate, reliable billing processes. We are looking for a Staff Fullstack Engineer with strong backend experience who enjoys making complex business systems reliable, understandable and easier to operate. You will help deliver new capabilities while improving existing services, reducing repetitive manual work and addressing edge cases that affect customers and internal stakeholders. This is a hands-on Staff engineering role within the AppCore Usage squad. You will lead complex technical work, contribute directly to implementation and share ownership with the squad’s other Staff and Senior engineers. Your primary focus will be Usage’s systems and outcomes, collaborating with adjacent teams when the work requires it. Our ownership includes application code, data stores, deployment configuration and the cloud infrastructure supporting our services. You should be comfortable following a problem across those boundaries and making improvements with the appropriate platform teams. We are remote-first and global. For this role, we prefer candidates in NASA’s Eastern Time zone to provide more overlap with our EMEA colleagues. What You’ll Be Doing Your initial focus will be approximately 75% backend and 25% frontend. This balance will evolve with the squad’s priorities. You should be comfortable delivering across the stack, from business logic and APIs through to the interfaces customers and internal teams use. Design, build and operate backend services and APIs supporting billing, rates, usage calculations, usage visibility and marketplace workflows. Build and maintain backend services primarily in Go, with Node.js also present in our stack, and contribute to TypeScript/React applications to deliver complete features. Improve the correctness and reliability of billing and usage workflows, including validation, reconciliation, error handling and recovery. Identify recurring manual tasks and replace them with maintainable automation, clear operational workflows and appropriate controls. Maintain and evolve the infrastructure supporting our services, including Kubernetes workloads, scheduled jobs, cloud resources and deployment configuration. Use infrastructure as code and automated delivery pipelines to make changes repeatable, reviewable and safe across environments. Investigate production issues across application code, databases and infrastructure, including resource exhaustion, failed jobs, slow queries and replication delays. Plan and execute service deployments, database changes and infrastructure migrations, including validation, monitoring and recovery plans. Build and maintain integrations with cloud marketplaces and external business systems where required by the squad’s work. Deliver projects from understanding requirements and proposing an approach through implementation, testing, rollout and production support. Make changes traceable and testable, supporting audit requirements and clear explanations of system behaviour. Collaborate with product management, Support, DealOps, GTM, infrastructure teams and adjacent AppCore squads to clarify requirements and resolve dependencies. Share technical leadership through design discussions, code reviews, mentoring and practical improvements. Participate in the squad’s on-call rotation after onboarding. Improve dashboards, alert quality, runbooks and recovery procedures, and follow through on incident findings. What Makes You a Great Fit You enjoy engineering work where correctness, reliability and business impact matter. You find value in improving an established system, removing a recurring operational problem or making a billing workflow easier to understand and support. You take ownership from understanding the problem through delivery and production support. You can turn an ambiguous request into manageable increments, make sound trade-offs and follow through without needing each step prescribed. You ask useful questions, seek feedback and raise uncertainty or blockers early. You adapt as priorities change, learn unfamiliar systems and technologies, and contribute where the squad needs you. You bring a strong backend specialty while remaining willing and able to work on frontend features and supporting infrastructure. You reason about how a service behaves in production: how it is deployed, where its data lives, what happens when dependencies fail, and how the team detects and recovers from problems. You communicate clearly in writing and in conversation. In a distributed team, you make decisions, progress and risks visible so colleagues can contribute across time zones. You work independently while staying connected to the squad. As a Staff engineer, you bring technical depth and sound judgment while remaining close to implementation. You collaborate constructively with other experienced engineers, welcome different perspectives and help the squad reach decisions and move forward. We embrace thoughtful use of AI-assisted development. We value engineers who use these tools to support exploration, implementation, testing and documentation while taking responsibility for the quality and correctness of the result. Requirements Substantial experience designing, delivering and operating production backend systems, with the depth and judgment to lead complex work hands-on. Strong experience building and operating production backend systems in Go, our primary backend language. Professional experience contributing to frontend applications using TypeScript and React, or comparable technologies, and willingness to work across the stack as priorities change. Experience reasoning about distributed systems, including partial failures, retries, consistency and interactions between services. Experience with relational databases, including data modelling, schema migrations, query performance and safe production changes. Practical experience deploying and troubleshooting containerised services and jobs in Kubernetes. Experience managing cloud infrastructure through code and working with CI/CD pipelines, environment configuration and controlled rollouts. Ability to investigate production problems using logs, metrics and traces, and turn findings into lasting improvements. A record of delivering projects end to end, clarifying requirements, making trade-offs and following through after release. Experience working remotely, with clear asynchronous communication and dependable collaboration across time zones. Ability to learn unfamiliar domains and technologies, adjust your approach as new information emerges, and take ownership beyond your main area of expertise. Experience writing readable, well-tested software that other engineers can understand, maintain and operate. Willingness to participate in on-call and take responsibility for the production behaviour of the systems you build. Experience supporting colleagues through code reviews, mentoring and constructive technical discussions. Bonus Points For Usage metering, billing engines, pricing and rates, financial reconciliation or customer-facing cost management applications. Reducing operational toil and automating workflows with recurring exceptions or manual interventions. Systems with auditability, traceability or financial-control requirements. MySQL operations, replication, database upgrades and performance tuning. Terraform, Jsonnet and Kubernetes deployment configuration. Argo Workflows or comparable deployment and job-orchestration tooling. Cloud infrastructure involving managed databases, object storage, service accounts and access controls, particularly on GCP. Data synchronisation pipelines and BigQuery integrations. Cloud marketplace integrations across AWS, Azure or GCP. Integrations with business platforms such as NetSuite or Salesforce. Observability tools such as Grafana, Prometheus, Loki or OpenTelemetry. In Canada, the compensation range for this role is $186,368 - $223,642 CAD. 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: United States (Remote) Grafana Labs is the company behind Grafana Cloud, the fully managed observability platform trusted by more than 10,000 organizations to ensure reliability, resolve incidents faster, and optimize telemetry at scale. Built on open source and open standards and designed for interoperability across any stack, Grafana Cloud brings AI to observability and observability to AI, giving teams (and their agents) unified visibility so they can see, understand, and act on all their disparate data, wherever it lives, and move at the speed of their ambitions. Customers, including Anthropic, Bloomberg, NVIDIA, Microsoft, and Salesforce, rely on Grafana Labs. We are a 100% remote company with team members across 40+ countries, backed by leading investors including Lightspeed Venture Partners, Sequoia Capital, GIC, Coatue, J.P. Morgan, CapitalG, and Lead Edge Capital. Learn more at grafana.com and follow us on LinkedIn and X . We’re scaling fast and staying true to what makes us different: an open-source legacy, a global collaborative culture, and a passion for meaningful work. Our team thrives in an innovation-driven environment where transparency, autonomy, and trust fuel everything we do. You may not meet every requirement, and that’s okay. If this role excites you, we’d love you to raise your hand for what could be a truly career-defining opportunity. This is a remote position. We are seeking candidates in US and Canada. The Opportunity Application Core Services (AppCore) is a group within Platform, in the Foundations department. We build and operate systems that support Grafana’s business operations and customer experience, working closely with product teams and internal business partners. The Usage squad works on billing, rates, usage calculations, usage visibility and cloud marketplace integrations. Our software helps customers understand their consumption and costs, and helps internal teams operate accurate, reliable billing processes. We are looking for a Staff Fullstack Engineer with strong backend experience who enjoys making complex business systems reliable, understandable and easier to operate. You will help deliver new capabilities while improving existing services, reducing repetitive manual work and addressing edge cases that affect customers and internal stakeholders. This is a hands-on Staff engineering role within the AppCore Usage squad. You will lead complex technical work, contribute directly to implementation and share ownership with the squad’s other Staff and Senior engineers. Your primary focus will be Usage’s systems and outcomes, collaborating with adjacent teams when the work requires it. Our ownership includes application code, data stores, deployment configuration and the cloud infrastructure supporting our services. You should be comfortable following a problem across those boundaries and making improvements with the appropriate platform teams. We are remote-first and global. For this role, we prefer candidates in NASA’s Eastern Time zone to provide more overlap with our EMEA colleagues. What You’ll Be Doing Your initial focus will be approximately 75% backend and 25% frontend. This balance will evolve with the squad’s priorities. You should be comfortable delivering across the stack, from business logic and APIs through to the interfaces customers and internal teams use. Design, build and operate backend services and APIs supporting billing, rates, usage calculations, usage visibility and marketplace workflows. Build and maintain backend services primarily in Go, with Node.js also present in our stack, and contribute to TypeScript/React applications to deliver complete features. Improve the correctness and reliability of billing and usage workflows, including validation, reconciliation, error handling and recovery. Identify recurring manual tasks and replace them with maintainable automation, clear operational workflows and appropriate controls. Maintain and evolve the infrastructure supporting our services, including Kubernetes workloads, scheduled jobs, cloud resources and deployment configuration. Use infrastructure as code and automated delivery pipelines to make changes repeatable, reviewable and safe across environments. Investigate production issues across application code, databases and infrastructure, including resource exhaustion, failed jobs, slow queries and replication delays. Plan and execute service deployments, database changes and infrastructure migrations, including validation, monitoring and recovery plans. Build and maintain integrations with cloud marketplaces and external business systems where required by the squad’s work. Deliver projects from understanding requirements and proposing an approach through implementation, testing, rollout and production support. Make changes traceable and testable, supporting audit requirements and clear explanations of system behaviour. Collaborate with product management, Support, DealOps, GTM, infrastructure teams and adjacent AppCore squads to clarify requirements and resolve dependencies. Share technical leadership through design discussions, code reviews, mentoring and practical improvements. Participate in the squad’s on-call rotation after onboarding. Improve dashboards, alert quality, runbooks and recovery procedures, and follow through on incident findings. What Makes You a Great Fit You enjoy engineering work where correctness, reliability and business impact matter. You find value in improving an established system, removing a recurring operational problem or making a billing workflow easier to understand and support. You take ownership from understanding the problem through delivery and production support. You can turn an ambiguous request into manageable increments, make sound trade-offs and follow through without needing each step prescribed. You ask useful questions, seek feedback and raise uncertainty or blockers early. You adapt as priorities change, learn unfamiliar systems and technologies, and contribute where the squad needs you. You bring a strong backend specialty while remaining willing and able to work on frontend features and supporting infrastructure. You reason about how a service behaves in production: how it is deployed, where its data lives, what happens when dependencies fail, and how the team detects and recovers from problems. You communicate clearly in writing and in conversation. In a distributed team, you make decisions, progress and risks visible so colleagues can contribute across time zones. You work independently while staying connected to the squad. As a Staff engineer, you bring technical depth and sound judgment while remaining close to implementation. You collaborate constructively with other experienced engineers, welcome different perspectives and help the squad reach decisions and move forward. We embrace thoughtful use of AI-assisted development. We value engineers who use these tools to support exploration, implementation, testing and documentation while taking responsibility for the quality and correctness of the result. Requirements Substantial experience designing, delivering and operating production backend systems, with the depth and judgment to lead complex work hands-on. Strong experience building and operating production backend systems in Go, our primary backend language. Professional experience contributing to frontend applications using TypeScript and React, or comparable technologies, and willingness to work across the stack as priorities change. Experience reasoning about distributed systems, including partial failures, retries, consistency and interactions between services. Experience with relational databases, including data modelling, schema migrations, query performance and safe production changes. Practical experience deploying and troubleshooting containerised services and jobs in Kubernetes. Experience managing cloud infrastructure through code and working with CI/CD pipelines, environment configuration and controlled rollouts. Ability to investigate production problems using logs, metrics and traces, and turn findings into lasting improvements. A record of delivering projects end to end, clarifying requirements, making trade-offs and following through after release. Experience working remotely, with clear asynchronous communication and dependable collaboration across time zones. Ability to learn unfamiliar domains and technologies, adjust your approach as new information emerges, and take ownership beyond your main area of expertise. Experience writing readable, well-tested software that other engineers can understand, maintain and operate. Willingness to participate in on-call and take responsibility for the production behaviour of the systems you build. Experience supporting colleagues through code reviews, mentoring and constructive technical discussions. Bonus Points For Usage metering, billing engines, pricing and rates, financial reconciliation or customer-facing cost management applications. Reducing operational toil and automating workflows with recurring exceptions or manual interventions. Systems with auditability, traceability or financial-control requirements. MySQL operations, replication, database upgrades and performance tuning. Terraform, Jsonnet and Kubernetes deployment configuration. Argo Workflows or comparable deployment and job-orchestration tooling. Cloud infrastructure involving managed databases, object storage, service accounts and access controls, particularly on GCP. Data synchronisation pipelines and BigQuery integrations. Cloud marketplace integrations across AWS, Azure or GCP. Integrations with business platforms such as NetSuite or Salesforce. Observability tools such as Grafana, Prometheus, Loki or OpenTelemetry. In the United States, the compensation range for this role is $174,986 - $209,983 USD.  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: Chile, Santiago Workplace: hybrid About Truv   Truv is transforming the financial data industry with a secure and real-time API platform for payroll account access. Our technology streamlines income and employment verification, direct deposit switching, and more, eliminating outdated processes and unlocking greater financial opportunities. Backed by $30M from top investors like Kleiner Perkins and NYCA, we're disrupting a $2B legacy market with cutting-edge innovation and a customer-first approach. Our leadership team brings expertise from industry giants like Apple, Carta, Venmo, MX, and Okta, driving the future of financial data access. We’re joining Checkr soon, bringing our verification technology and data connectivity together with Checkr’s platform. What You’ll Do Take ownership of designing, architecting, implementing, and maintaining dynamic React + TypeScript web applications that delight our customers. Write, maintain, and enhance unit and integration tests to ensure high-quality deliverables. Proactively identify challenges and propose innovative solutions that drive project success. Embrace opportunities to learn and grow, taking initiative to contribute to team discussions and decisions. Build responsive static HTML + CSS pages and engaging email templates with SEO best practices in mind — semantic markup, proper heading structure, meta/Open Graph tags, and fast Core Web Vitals. What you bring A passionate Front-End Developer with 5+ years of experience in a similar role or related technical field. Proficient in HTML, CSS, TypeScript, and React, with a strong desire to stay updated with the latest industry trends. Solid understanding of technical SEO fundamentals: semantic HTML, Core Web Vitals (LCP, INP, CLS), image optimization, and how client-side rendering affects crawlability. Experienced in writing unit tests and automated integration tests, with a commitment to delivering high-quality code. A proactive problem solver who thrives in a fast-paced environment and enjoys taking ownership of your work. A team player who values collaboration and is eager to contribute to a vibrant company culture. Preferred skills Familiarity with Redux, React Query, Jest, and Cypress would be a plus and would strengthen our development toolkit. Hands-on experience with SSR/SSG frameworks (Next.js, Astro, Remix, or similar) and rendering strategies for SEO

Location: Global Workplace: Remote ABOUT THE ROLE Aptura is looking for Subject Matter Experts from investment banking or M&A advisory to capture their expertise in Excel. You have used AI tools on your own work and been frustrated by the mistakes they make. You will turn that experience into realistic Excel tasks that test how well AI does the modelling work of an Investment Banking Analyst. RESPONSIBILITIES - Writing realistic Excel tasks drawn from your own work: extending existing models, fixing broken ones and building from a brief - Working through each task yourself so there is a clear, correct answer - Writing yes-or-no criteria precise enough that a grader can mark any attempt against them NECESSARY QUALIFICATIONS - 3+ years in investment banking, M&A advisory or corporate development - Deep hands-on Excel: merger models, pro formas, purchase accounting, precedent transactions, football fields and financial functions - Strong written English communication skills. - Attention to detail, and willingness to learn concepts in AI and Evals ADDITIONAL INFORMATION - Start Date : Immediate - Duration: Approximately 4–6 weeks - Payment: task-based. Experts who complete their first task within the required timeline will then be qualified to do multiple tasks for the remainder of the project. CONTRACT AND PAYMENT TERMS - You will be engaged as an independent contractor. - This is a fully remote role that can be completed on your own schedule. - Projects can be extended, shortened, or concluded early depending on needs and performance. - Your work at Aptura will not involve access to confidential or proprietary information from any employer, client, or institution. - Payments will be weekly following task completion. GETTING STARTED - Apply with your details and CV. Choose an available 30-minute group walkthrough call. - Attend the walkthrough and create one original task from your own work. Submit the brief, the actual input workbook(s) needed to complete it. Input-file uploads are compulsory. - Write the brief yourself. Input workbooks must also be human-built. Use real data that has been sanitised, or public data with the source named. No AI usage allowed. - We run your task against current frontier AI models. If the models get it wrong, you then write a detailed yes-or-no rubric, and a reviewer signs off on the task with you. - Completing onboarding does not guarantee a job offer; selection remains subject to written approval of the task proposal. ABOUT APTURA Aptura is an applied AI and data company working with frontier labs to train AI systems on real professional work. We do this by building high-quality evaluation and training environments that teach AI agents to produce work that can be used in daily workflows.

Location: São Paulo or Rio de Janeiro, Brazil Why Join Exadel We’re an AI-first global tech company with 25+ years of engineering leadership, 2,000+ team members, and 500+ active projects powering Fortune 500 clients, including HBO, Microsoft, Google, and Starbucks. From AI platforms to digital transformation, we partner with enterprise leaders to build what’s next. What powers it all? Our people are ambitious, collaborative, and constantly evolving. About the Client A leading global digital banking platform and one of the largest neobanks in Latin America, headquartered in Brazil. The company provides a mobile-first suite of financial services—including credit cards, savings accounts, and investments—designed to eliminate bureaucracy and high fees. By leveraging advanced data analytics and a customer-centric digital infrastructure, the organization delivers transparent and accessible financial solutions to millions of users across Brazil, Mexico, and Colombia. What You’ll Do Design, build, test, and maintain AI agent capabilities, including tools, skills, commands, and prompts Apply prompt-engineering techniques to improve agent accuracy, reliability, and usability Define structured output contracts, error-handling mechanisms, and evaluation methods for measuring agent behavior Develop extensions, plugins, and integrations for AI-powered development tools Build and maintain reusable application templates that establish consistent engineering standards across generated projects Develop developer-facing interfaces and internal tooling using React and TypeScript Improve the developer experience through actionable feedback, clear error messages, reliable defaults, and streamlined workflows Implement and maintain quality gates, including type checking, linting, automated testing, and build validation Apply containerization and runtime standards to support secure and consistent application development Collaborate with platform engineers to integrate AI capabilities with infrastructure, CI/CD pipelines, and deployment workflows Monitor platform usage, identify friction points, and continuously improve the experience based on observed behavior and user feedback Document technical decisions, agent behavior, platform capabilities, and development workflows Incorporate AI agents into daily engineering activities and identify opportunities to improve their effectiveness What You Bring A solid foundation in application architecture, software engineering, and modern development practices Hands-on experience designing and implementing AI agents, including tools, skills, commands, and prompt engineering Experience evaluating AI agent behavior systematically using defined criteria, test cases, and supporting evidence Experience with React and TypeScript, including modern frontend development patterns and build tooling Experience building reusable application templates, developer tools, internal platforms, or self-service engineering capabilities Knowledge of automated testing, type checking, linting, build validation, and software-quality practices Familiarity with containerization and application runtime environments Working knowledge of cloud infrastructure, CI/CD concepts, and application deployment workflows Strong technical English skills, including written documentation and remote collaboration Strong analytical and problem-solving abilities with excellent attention to detail Ability to work independently, navigate ambiguity, and take ownership of technical outcomes Interest in incorporating AI agents into everyday engineering workflows and continuously improving their performance Nice to have Experience developing plugins, extensions, or integrations for AI-powered development environments Experience using Python for supporting services, automation, or AI-related workflows Familiarity with enterprise application security, governance requirements, and engineering guardrails Experience designing structured agent interfaces, typed outputs, and robust error-handling mechanisms Understanding of cloud-native architectures, CI/CD pipelines, and production deployment practices Experience improving developer productivity through internal platforms, reusable templates, or self-service tooling Exposure to AI evaluation frameworks, observability, or agent performance monitoring English level Upper-Intermediate Work Type: Remote Eligible Locations: São Paulo or Rio de Janeiro, Brazil Legal & Hiring Information Exadel is proud to be an Equal Opportunity Employer committed to inclusion across minority, gender identity, sexual orientation, disability, age, and more Reasonable accommodations are available to enable individuals with disabilities to perform essential functions Please note: this job description is not exhaustive. Duties and responsibilities may evolve based on business needs Compensation details are shared with candidates at the early stage of the recruitment process. The offer is not binding until a signed contract is in place. Your Benefits at Exadel Exadel benefits vary by location and contract type. Your recruiter will fill you in on the details. International projects In-office, hybrid, or remote flexibility Medical healthcare Recognition program Ongoing learning & reimbursement Well-being program Team events & local benefits Sports compensation Referral bonuses Top-tier equipment provision Exadel Culture We lead with trust, respect, and purpose. We believe in open dialogue, creative freedom, and mentorship that helps you grow, lead, and make a real difference. Ours is a culture where ideas are challenged, voices are heard, and your impact matters.

Location: United States; United Kingdom (Hybrid) Workplace: Remote Most money apps talk at you. Cleo talks back ✨ We're not building another finance app. We're building the world's first AI financial assistant, one that actually understands your money and makes you better at it, and we're changing the world's relationship with money in the process 💰 For everyone, whatever their background or balance. The proof: profitable, fast-growing, a unicorn with over $300M in ARR, and millions of people who now feel differently about their money. We love original thinkers who challenge the status quo. We move fast, tell the truth, and there's nowhere to hide from good work here. If that excites you more than it scares you, you'll fit right in. Follow us on LinkedIn https://www.linkedin.com/company/cleo-ai/ for new features and the occasional roast 🔥 MEET THE TEAM 👥 Here at Cleo we have team of ~135 member in our Credit Pillar. This function brings together several specialisms, all working toward managing portfolio performance; designing the systems, models, and controls that make lending sustainable. They drive to build and grow a portfolio of responsible EWA & Pay Later products that can scale across markets while protecting users from high cost debt trap. About The Role ✍️ We’re hiring a hands-on Lead Product Manager to drive Cleo’s Pay Later risk decisioning roadmap. You’ll build the risk models, credit limits and policies that decide who qualifies for Pay Later and how much credit they get, leading a cross-functional squad across Engineering, ML and Risk. Key Responsibilities - Improve our risk models, taking them through approval, testing and rollout - Set credit limits and pricing policy, including new risk grids and spending power rules - Own our bureau data partnership (TransUnion) - what data we collect, when, and how it feeds our models - Spot and fix gaps in our data and reporting, working with central data teams - Build solutions to catch fraud within Pay Later WHAT WE'RE LOOKING FOR 🕵️ - Deep, hands-on experience in fintech risk, credit or underwriting - model-literate across the full ML lifecycle, from discovery to deployment - Proven record of moving business metrics (not just feature-level metrics) on a fast-scaling product - Comfort owning ambiguity - working with limited data, unproven models and pending approvals, and making the trade-offs between pricing, limits and credit risk - Strong data fluency - runs A/B tests, writes SQL, and translates data into compelling stories - Deep understanding of US consumer finance regulation (e.g. Reg Z, Reg B), with experience working alongside legal, compliance and banking partners WHAT WE OFFER We offer benefits package built to support you in and out of work. Benefits vary by country 🌍 and include meaningful equity, comprehensive health insurance, mental health support, a paid one-month sabbatical after four years, a learning & development platform, pension or retirement contributions, and location-specific leave entitlements. For the full breakdown on what's available in your location, visit our Candidate Hub https://meetcleo.notion.site/Cleo-Candidate-Hub-3b95c63b874580e9a068fdc6c8929ebf 👈 WHAT MATTERS Cleo's mission is to change the world's relationship with money. We can't do that without building a brilliant, genuinely diverse team - and making sure our hiring process gives everyone a fair shot, running a fair and transparent recruitment process in which every candidate is considered on their merits. We're glad to make reasonable adjustments at any stage of the process. If there's anything we can do to support you in showing us your best, please let your recruiter or one of the team know. We may use AI-assisted tools during the recruitment process to take support the team in different ways like taking notes or referring back to conversations. They do not replace the team and all applications are reviewed by a Cleo employee thoroughly!

Location: Singapore About Nebius: Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure. Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI. Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D. The Role We're looking for a Lead Site Reliability Engineer to build and run the fundamental part of Nebius in APAC: the Network, the infrastructure everything else depends on. We are at the early stage of our APAC expansion, so this is a hands-on role. You will define reliability targets, write automation and handle incidents yourself, with a high degree of independence from the European teams. As the region grows, you will build and lead the local SRE team. Your responsibilities will include: Define and own reliability goals for network services and critical paths in the region (SLIs/SLOs, availability targets, error budgets where it makes sense) Drive reliability improvements across the whole APAC network: not only services, but also site readiness, inter-site connectivity (DCI), and operational standards for new data centers Own incident response for your areas, lead investigations/postmortems, and turn failures into durable fixes (not repeated firefighting); set up on-call and incident management practices for the region Build and evolve observability: actionable metrics/logs/traces, alerting, and faster debug loops during and after incidents Design safer change workflows: automation, CI/CD, test/staging environments, canarying, rollbacks, and auditability for network changes Work closely with network engineers and platform teams in APAC and Europe to embed operability into designs and keep operations practical and fast Hire, onboard and mentor the first SREs in the region and set the engineering bar for the team Coordinate with European teams on handoffs and coverage across time zones We expect you to have: 7+ years of experience in SRE / infrastructure engineering, including experience leading a team or acting as a technical lead with broad ownership of production systems Strong production Linux fundamentals and a structured approach to debugging complex systems Solid understanding of networking basics and how real networks fail (control plane vs data plane, latency/loss, failure domains, etc.) Hands-on experience operating high-availability systems and improving them over time (not just "keeping lights on") Ability to write and maintain software/automation (Go is common for us; Python is also welcome) Experience with modern infrastructure tooling (e.g., IaC, CI/CD, container platforms) and comfort automating operational workflows Ability to work independently in an early-stage environment and to build processes and a team from scratch Willingness to stay hands-on while leading and growing a team It will be an added bonus if you have: Experience with high-throughput traffic processing: load balancers, tunneling/decap, NAT64, or similar datapath-heavy systems Low-level networking performance/debug background (eBPF/XDP, DPDK, perf/ftrace, kernel networking internals) Experience building network-safe delivery pipelines (testing labs, staged rollouts, automated verification, drift detection) Background with large-scale network observability/telemetry (routing/flow telemetry, regression detection at scale) Knowledge of the APAC network landscape (carriers, IX, regional connectivity and regulatory specifics) Benefits & Perks: Competitive compensation Career growth and learning opportunities Flexibility and ownership Collaborative and innovative culture Opportunity to work on impactful AI projects International environment and talented teams What's it like to work at Nebius: Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI Equal Opportunity Statement: Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law. Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire. If you need accommodations during the application process, please let us know.

Location: Belgrade Workplace: onsite About Unlimit   Unlimit is a global fintech ecosystem built to eliminate financial borders holding businesses back. The company provides the extensive infrastructure needed to scale globally, integrating payment processing, multi-currency business accounts, BaaS and crypto gateways into a single, intelligent platform.   Across 17 offices globally, Unlimit bridges hyper-local expertise with a high-capacity financial network, giving companies the agility to expand across regions with operational confidence and speed. Driving the evolution of payments, Unlimit is transforming its infrastructure from human-operated fintech into AI-native financial infrastructure — where APIs are consumed by machines, integrations are negotiated by agents, and systems evolve continuously through intelligent automation. Our next users are not only humans. They are AI agents acting on behalf of humans and businesses.   Unlimit serves more than the needs of businesses today; we are building the nervous system for a borderless global economy. What You'll Be Doing As a Senior Infrastructure Security & Operations Engineer, you’ll be a hands-on technical expert responsible for strengthening Unlimit’s infrastructure security and operational cyber defence capabilities. You’ll combine security engineering, detection and response, vulnerability management, and cloud security expertise to protect our technology ecosystem against evolving threats. A major part of this role will involve transforming traditional security operations through AI-powered and agentic automation. You’ll design and build intelligent security workflows, automate investigations and response activities, and continuously improve the effectiveness and efficiency of our cyber defence capabilities. This role is ideal for an experienced infrastructure or security engineer who combines strong systems engineering fundamentals with practical security operations experience, advanced automation skills, and a passion for building modern, AI-driven security solutions. What You’ll Do Own and continuously improve infrastructure security controls across Unlimit’s global technology environment. Operate and enhance internal Security Operations, including security monitoring, alert triage, incident investigation, and response. Develop and maintain detection engineering capabilities, including SIEM correlation rules, detection use cases, log analysis, and security monitoring integrations. Conduct proactive threat hunting and leverage cyber threat intelligence to identify emerging threats and improve defensive capabilities. Lead technical incident response activities, including investigation, containment, remediation, and post-incident improvements. Manage infrastructure vulnerability assessment and remediation processes, including vulnerability scanning, prioritisation, tracking, and validation. Implement and continuously improve infrastructure hardening and security configurations across servers, endpoints, networks, and cloud environments. Develop and maintain security controls across AWS, Kubernetes, and containerised environments. Own and optimise endpoint protection and detection capabilities, including EDR/XDR technologies. Contribute to network security, directory security, and infrastructure security architecture reviews. Administer, integrate, and continuously improve security technologies, including SIEM, EDR/XDR, vulnerability management, and infrastructure security platforms. Coordinate external penetration testing activities within the infrastructure security scope, validate findings, and support remediation. Provide technical support for IT and Information Security audits, including evidence collection, technical control validation, and remediation of identified gaps. Collaborate closely with Infrastructure, DevOps, Engineering, and Application Security teams to implement practical and scalable security improvements. AI & Agentic Security Automation Design, develop, and maintain AI-powered and agentic security automation as a core part of Cyber Security operations. Build autonomous and semi-autonomous workflows for security alert triage, investigation, enrichment, and response. Develop AI-assisted detection engineering, threat hunting, and threat intelligence processing capabilities. Automate vulnerability analysis, risk-based prioritisation, and remediation workflows. Build custom security integrations, automation scripts, and internal security tools using Python, APIs, and modern AI development frameworks. Leverage LLMs and agentic development tools, including Claude, to improve security operations efficiency and engineering productivity. Ensure AI-powered security workflows incorporate appropriate validation, access controls, and human oversight for sensitive or high-impact actions. What We’re Looking For 6+ years of hands-on engineering experience, including at least 4 years in Cyber Security, Infrastructure Security, or Security Operations. Strong technical background in IT infrastructure, systems engineering, cloud engineering, or platform engineering. Proven experience implementing and maintaining infrastructure security controls in complex production environments. Hands-on experience with Security Operations, SIEM, detection engineering, incident response, and threat hunting. Strong understanding of modern cyber attack tactics, techniques, and procedures (TTPs), including MITRE ATT&CK. Practical experience with EDR/XDR, vulnerability management, and security monitoring technologies. Solid understanding of Linux, networking, operating system security, and infrastructure hardening. Experience securing AWS environments, Kubernetes clusters, and containerised workloads. Strong Python development skills and experience building security automation, integrations, and internal tools. Practical experience developing AI-powered and agentic solutions, including LLM integrations, tool orchestration, autonomous workflows, and AI-assisted automation. Experience integrating security controls and automation into infrastructure and DevOps workflows. Ability to independently investigate complex security issues, identify root causes, and implement effective technical solutions. Strong analytical and problem-solving skills, with an engineering-first approach to security. Ability to work independently while collaborating effectively with Infrastructure, DevOps, Engineering, and Security teams. Technical Experience Hands-on experience with several of the following technologies is highly desirable: Security Operations: CrowdStrike, Elastic Security / Elasticsearch, Tenable. Cloud & Infrastructure: AWS, Kubernetes, container technologies, Cloudflare. Engineering & Automation: Python, Terraform, GitLab, REST APIs. AI & Agentic Development: Claude, LLM APIs, agentic frameworks, tool integrations, and AI-powered workflow orchestration. Nice to Have Previous experience in fintech, financial services, payments, or large-scale regulated e-commerce environments. Experience building AI-powered SOC capabilities or autonomous security operations workflows. Experience developing custom detection rules, security integrations, or open-source security tools. Knowledge of infrastructure security architecture and secure cloud design. Experience with offensive security techniques, infrastructure penetration testing, or adversary simulation. Relevant security, cloud, or engineering certifications. Join Unlimit Team now!   Unlimit is an equal opportunity employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We welcome applications from all members of society irrespective of age, sex, disability, sexual orientation, race, religion or belief.

Location: Russia; Moscow; Perm Workplace: remote ABOUT US Xsolla is a global commerce company with robust tools and services to help developers solve the inherent challenges of the video game industry. From indie to AAA, companies partner with Xsolla to help them fund, distribute, market, and monetize their games. Grounded in the belief in the future of video games, Xsolla is resolute in the mission to bring opportunities together, and continually make new resources available to creators. Headquartered and incorporated in Los Angeles, California, Xsolla operates as the merchant of record and has helped over 1,500+ game developers to reach more players and grow their businesses around the world. With more paths to profits and ways to win, developers have all the things needed to enjoy the game. For more information, visit xsolla.com. The role THE ROLE We are hiring a Senior Backend Engineer for two platform products: Xsolla ID is the identity and authentication platform behind sign-in, account management and SSO across Xsolla products. Xsolla ZK is Web3 wallet infrastructure: smart wallets and account abstraction on a zkSync-based L2. Both products sit on users' most sensitive flows, logging in and signing transactions, and other Xsolla teams build on top of them. WHAT YOU WILL OWN The backend services of your product area end to end: design, implementation, release and production operation, including on-call Architecture across services: service boundaries, integration contracts and data ownership. You make these decisions and justify them in writing Reliability and security of critical flows: SLOs, failure handling, protection of user data and credentials Service performance and cost under load WHAT YOU WILL DO Design and build services and APIs (REST, gRPC) for authentication, account management and wallet operations Define service boundaries and integration contracts with other Xsolla teams Design data models and storage; optimize schemas and queries Build event-driven and asynchronous workflows Own observability: metrics, logs, tracing and alerting, and act on what production tells you Take part in on-call, incident response and post-mortems Improve the engineering environment: CI/CD, infrastructure-as-code, testing Review code Set up and maintain AI tooling in the repositories (Claude Code, Codex, Cursor: rules, context, harness) so the team uses it effectively Responsibilities Language and platform 5+ years of commercial backend development Go: idiomatic code, concurrency (goroutines, channels, context and cancellation), memory and performance profiling (pprof) Data Relational databases (PostgreSQL, MySQL): schema design, indexes, query plans, transactions and isolation levels, safe migrations Caching (Redis): when to cache, invalidation, consistency trade-offs Distributed systems Service architecture and distributed-systems trade-offs: consistency, availability, idempotency, retries, failure modes Asynchronous messaging and event-driven design (Kafka, RabbitMQ or NATS): delivery guarantees, ordering, reprocessing APIs Designing REST and gRPC APIs: versioning, backward compatibility, contract documentation (OpenAPI / Swagger, Protobuf) Security and identity Application security: common vulnerability classes (OWASP Top 10), secrets management, safe handling of user data OAuth 2.0 / OIDC from the server side: flows, tokens, sessions Operations Containers and orchestration (Docker, Kubernetes) at the level of deploying and debugging your own services Observability (we use Datadog; experience with Prometheus, Grafana, ELK / Graylog or OpenTelemetry also counts): metrics, logs, tracing and alerting; diagnosing incidents in production Engineering practices Testing: unit, integration, contract Git, CI/CD (GitLab CI or similar) AI-assisted engineering Daily hands-on use of AI coding tools (Claude Code, Codex, Cursor) for development and review, including configuring them for a repository English Reading technical documentation in English Nice to Have Web3 backend experience: blockchain integration, wallet infrastructure, account abstraction High-load systems Cloud platforms (GCP, AWS or Azure) and infrastructure-as-code NoSQL databases (MongoDB or similar) Domain experience in gaming, e-commerce, fintech or payments HOW WE WORK Decisions in writing. Significant technical decisions are written up as an RFC or ADR that lays out the options and trade-offs. We discuss the document, not a blank whiteboard. AI is part of everyday engineering. We use AI coding tools for development and review, and we treat configuring them for a codebase as real engineering work. HOW WE HIRE Intro call. Your background, your motivation and the role. Technical interview. Built directly on the What you will own and Required sections above. We won't ask about anything this posting doesn't promise. Bar raiser. An engineer from outside the hiring team checks that you raise the overall engineering bar. THE TEAM You will work alongside product managers, designers, backend and frontend engineers, QA and DevOps. BENEFITS We are passionate about fostering a supportive environment for our team, so we prioritize the physical, mental, and emotional well-being of our employees and their families through a comprehensive Benefits Program. This includes medical, dental, and vision, PTO, and a personalized career roadmap for each employee. By investing in professional development through training and educational opportunities, we ensure that our team thrives both personally and professionally. Together, we're not just building a business; we're cultivating a community that values creativity, collaboration, and the transformative power of play. EMPLOYMENT DETAILS Location: Remote Employment Type: Full-time Schedule: 10:00–19:00 (flexible) Contract: Employment agreement (entity or EOR arranged per candidate location) EQUAL EMPLOYMENT STATEMENT Xsolla is dedicated to creating a diverse environment and is proud to be an equal-opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, language, sexual orientation, national origin, genetics, political beliefs, disability, age, marital status, social background or other characteristics. We are committed to compliance with all fair employment practices regarding citizenship and immigration status. CONTACT If you have questions regarding our hiring practices, please contact careers@xsolla.com. For more vacancies, visit xsolla.com/careers.

Location: Clarksville, TN Step into the innovative world of LG Electronics. As a global leader in technology, LG Electronics is dedicated to creating innovative solutions for a better life. Our brand promise, 'Life's Good', embodies our commitment to ensuring a happier life for all. We have a rich history spanning over six decades and a global presence in over 290 locations.  Our diverse portfolio includes Home Appliance Solutions, Media Entertainment Solutions, Vehicle Solutions, and Eco Solutions.  Our management philosophy, "Jeong-do Management," embodies our commitment to high ethical standards and transparent operations. Grounded in the principles of 'Customer-Value Creation' and 'People-Oriented Management', these values shape our corporate culture, fostering creativity, diversity, and integrity. At LG, we believe in the power of collective wisdom through an inclusive work environment.  Join us and become a part of a company that is shaping the future of technology.  At LG, we strive to make Life Good for Everyone. Pay: $17.35 Responsibilities Perform daily quality inspections of finished, in-process and received product as required by company inspection and test plan.  Maintain accurate and precise records, to include inspection and non-conformance Reports Maintain a safe, clean and organized working environment Perform inspection of parts to specifications using calipers, gauges, tape measures and other mechanical inspection hand tools and reading drawings. Assist in the troubleshooting of materials in the manufacturing areas. Investigate root cause analysis for quality issues and assist in problem solving. Ability to work any shift and/or overtime as required. Perform data entry and computations on defined quality forms Perform other duties as assigned JOB REQUIREMENTS Education: High School diploma or equivalency. QAULAIFICATIONS One year of manufacturing experience JOB REQUIREMENTS Able to lift a maximum of 25 lbs. multiple times a day during a 12 hr. Bend and stand in difficult positions up to 12 hours; Able to manipulate tools with both hands and stand for long hours. Benefits Offered Full-Time Employees: No-cost employee premiums for you and your eligible dependents for competitive medical, dental, vision and prescription benefits. Auto enrollment with immediate vesting of competitive company matching contributions in a 401(k) Retirement Savings Plan with several investment options. Generous Paid Time Off program that includes company holidays and a combined bank of paid sick and vacation time. Performance based Short-Term Incentives (varies by role). Access to confidential mental health resources to help you and your loved ones improve your quality of life. Personal fitness goal incentives. Family orientated benefits such as paid parental leave and support for families raising children with learning, social, behavioral challenges, or developmental disabilities. Group Rate Life and Disability Insurance. Benefits Offered Temporary/Contractors: Eligible for the relevant benefit programs offered through our partner agencies. Privacy Notice to California Applicants Applicants who need assistance or a reasonable accommodation during the hiring process may contact our team by phone at: 973-477-7090 or support@lg4me.freshdesk.com. This email and phone number will only reply to accommodation requests and is not intended for general employment inquiries. All qualified applicants will be considered for employment without regard to race, color, religion, sex (including pregnancy, sexual orientation, or gender identity), national origin, age, disability, genetic information, protected veteran status, or any other characteristic protected by applicable federal, state, or local law. In addition to the above, LG believes that pay transparency is a key part of diversity, equity, and inclusion. Our salary ranges take into account many factors in making compensation decisions including but not limited to skillset, experience, licensure, certifications, internal equity, and other business needs. While we consider geographic pay differentials in final offers, because we operate in many geographies where applicable, the salary range listed may not reflect all geographic differentials applied .

Location: Dubai; London, England, United Kingdom Workplace: hybrid We are a leading trading platform that is ambitiously expanding to the four corners of the globe. Our top-rated products have won prestigious industry awards for their cutting-edge technology and seamless client experience. We deliver only the best, so we are always in search of the best people to join our ever-growing talented team. We are looking for a Senior Operations Manager - AI Automation to lead how Capital.com uses AI and automation across Operations, including Customer Support and FinCrime. You will own the automation roadmap. That means deciding what to automate, sizing and ranking each opportunity, and then building, testing and rolling out the automations with the teams who use them. You’ll redesign processes so that AI handles what it does well, fixed rules cover what needs to be predictable, and people keep the decisions that need judgement. You’ll work closely with operational managers, control owners, Product and Engineering, and lead a team of one to two people. Requirements: Own the automation roadmap and increase the share of automated tasks across Operations. Find opportunities by analysing where time is lost, errors occur or work is repeated. Prioritise those with a clear baseline and measurable value. Redesign processes with their users and control owners. Agree where AI adds value, where fixed rules work better and where a human must decide. Build prototypes and working automations, and work with Product and Engineering on integrations and production support. Test against real conditions (incomplete inputs, unexpected outputs, failed dependencies). Agree data, permissions and controls before launch, with human review and a manual fallback. Lead rollout with operational managers and support colleagues through adoption. Track quality, usage and benefits against baseline, including review and support costs. Fix failures, and document ownership, monitoring and recovery after launch. Requirements: 5+ years in operations, process excellence, automation or a similar field. Hands-on experience building and launching AI and automation in live operations, with measurable results. Ability to size opportunities and turn them into a prioritised roadmap. Experience redesigning processes with operational teams and control owners in a regulated or control-heavy environment. Experience testing AI workflows and designing human review and exception handling. Experience working with Product and Engineering, and managing direct reports. Nice to have: Financial services, fintech, brokerage or payments background. Automation in Customer Support, KYC or FinCrime/AML. Hands-on use of LLM APIs, workflow tools such as n8n, and Python or SQL.

Location: New York Qube Research & Technologies (QRT) is a global quantitative and systematic investment manager operating across liquid asset classes worldwide. We are a technology- and data-driven group that applies a scientific approach to investing. Our collaborative culture brings together research, engineering, and financial markets expertise to solve complex challenges and build high-quality, scalable technology. We are looking for a C++ Developer to join our ETF technology team. You will design and build core platforms, services, and infrastructure supporting QRT's capabilities in the ETF space. This is an opportunity to develop robust, high-performance systems and end-to-end workflows while collaborating with engineers, researchers, and business stakeholders. Your Future Role within QRT · Design and develop high-performance C++ applications and services supporting ETF-related platforms and infrastructure. · Build reusable platform components for data processing, messaging, connectivity, workflow orchestration, and system integration. · Develop reliable services for handling real-time and reference data from multiple internal and external sources. · Design automated, event-driven solutions for complex, multi-stage business workflows. · Create well-controlled systems with appropriate validation, auditability, monitoring, and operational tooling. · Improve the performance, resilience, scalability, and observability of production systems. · Integrate new components with QRT's broader technology and data ecosystem. · Collaborate with engineers, researchers, and business stakeholders to translate requirements into well-architected and maintainable solutions. · Contribute to technical design, testing standards, code quality, and long-term platform strategy. Your Present Skillset · 7+ years of professional experience developing performance-sensitive applications in modern C++. · Strong knowledge of software engineering fundamentals, including algorithms, data structures, object-oriented design, and software architecture. · Experience with multithreaded, concurrent, and event-driven programming. · Strong experience developing and operating software on Linux. · Experience building reliable production systems that process real-time or high-volume data. · Experience designing APIs, messaging-based services, or integrations with external systems and data providers. · Understanding of distributed systems, failure handling, testing, monitoring, and production support. · Practical knowledge of the ETF ecosystem, including products, data, market structure, participants, conventions, and operational lifecycles. · Strong problem-solving and communication skills, with the ability to work effectively across technical and business teams. Nice to Have · Experience building technology within the ETF, asset management, investment banking, or broader financial markets space. · Familiarity with ETF reference data, pricing data, lifecycle events, and related operational processes. · Experience with market data feeds, financial messaging standards, connectivity protocols, or middleware technologies. · Experience designing and operating resilient distributed systems in production. · Familiarity with Python or another language used for tooling, integration, or data analysis. · Experience with cloud infrastructure, containerisation, CI/CD, and modern observability tools. Base salary range for this position is $180,000 to $300,000 per year. QRT Total Compensation includes discretionary performance-based bonuses and a competitive benefits package.